mirror of
https://github.com/MAGICGrants/MoneroAna.git
synced 2026-01-08 20:37:58 -05:00
39748 lines
2.6 MiB
39748 lines
2.6 MiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "830ecf98",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"from MoneroAna import *"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "ea033f4b",
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"metadata": {},
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"outputs": [],
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"source": [
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"registry={}\n",
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"block_height = 2931928\n",
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"#txo = tx(\"ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317\", registry=registry)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "0e0ee0aa",
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"metadata": {},
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"outputs": [],
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"source": [
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"b = block(block_height)\n",
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"txos = b.get_txs(registry=registry)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "63c3d0e5",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1eb7cb2bce2c80de53ca3209da3a62eae195985474a152f9eacffc47679b79d9\n",
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"060293cd86d1ac81406e386712a885395c47fa04be9ce2a00b663fe2e208804c\n",
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"35afa11263293a9e6bf8bd8157481e826685e82fbe8840c496fe3b5168977016\n",
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"8366025df5d39c0219cdfb885d951fd28a31235be69814651dd55c4cb5517970\n",
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"79d8fbdd58e1d21fc2038dc6f575189152acbf707739948433fd96810af7b95a\n",
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"8d6d22117a569878b2a1c64c136273ae1b3196b013a7bbc1e268e41a6b433207\n",
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"d316ef6cec06899e064491708f336f33379d97c1a319ac9bf10d8e02d9808c91\n",
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"49c618ba0c3a52c8c2e9774a32b1f610d41ea5505b5d955d67d21b899dd0a6c7\n",
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"255b32a1005d270fc6dc821744b891e4c6cd963961965fdc7afa1239f04337e3\n",
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"5de860e759f8ed162107ffea5ec57c13834b739f19b85ab1790f3b64fa6660cc\n",
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"f7ca6879fded98566ee10effd41abf3b25c0ea5f406f535b84cf07a40f739c1c\n",
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"f549ec2287b12354a02714fee0a44fc3f3df9b4e71b6dcc3349867c702768396\n",
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"be8498b352162c14b4e606137a3bd66e05c9832f2f5c29004142266a67aeb953\n",
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"20f4c0211d3692f9ed7295bdccad1416ea631e82c82785d95cbdde064eba7832\n",
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"268d7fd85c615b1f4e50fe0620edd658c5b26c6f2ea19860c17fba8ae366b987\n",
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"6e3846298cc0ab22c2e5aca5522046698135038583ac60bc1f568d00e3226a8a\n",
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"7ddc64b5913f4c31f0db23fc03c7fb870750e3bd94fab4a0b0290037b2245e92\n",
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"985ee39c5e33611577322616988597bf595c2f6c7c33f1152ecf897aec810146\n",
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"4bda9a0b010695bc786455a2b1289a0b30da4068e296159e6805e603f1f249f3\n",
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"0d10d065ce60fa0271b83cc3f7c19888b8a484052c7137b90590237d6ffbed8b\n",
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"99b97772b441b1918c3391b2e6861bf29992f3c731396efdfebb7045dda8f502\n",
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"97a2ea93d1e74a7e579a122bc43894876842f507da1819fa1f80fb192b5f6c77\n",
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"1ec10e158d726056d0ae127dc21dc094962f8c863adfc71821cedaa9e5d45da9\n",
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"337d27f302e4e1292c5109ca883d335a29d1dea89080aabd4b66e1d99fb57697\n",
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"55ba004a0bbe29737dcf3dd9a850a7f106152a6737a74e3250696ff1ea4b682b\n",
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"b72ece831dfa4456906cf24fd00280ef0753f61c5fc1f50a4219c330e6e64aac\n",
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"30ebc6d0d92f6d245773ef828c3f508428712dc739e74675faff24490127e429\n",
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"30436e58c5a34821199733889269a56b8fe3752177ab0edbeda96f4fd4d78142\n",
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"e16c9b1b9858047bf9c8e17389cbae608593a0908c5ce892f7fcb7ad6e803690\n",
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"fdef35ec4f0ed0e5afe058c0e635a52beeb1aae9345159f8c70352bc54ea4da5\n",
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"2b04a27224e971219f42463d5365d3bcec3b5a10be42354ce3ec80bdefa78b27\n",
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"[(0, 7, 1, <MoneroAna.tx object at 0x7f828b926890>), (1, 6, 4, <MoneroAna.tx object at 0x7f828d02af20>), (0, 15, 0, <MoneroAna.tx object at 0x7f82e64b40d0>), (1, 6, 0, <MoneroAna.tx object at 0x7f828bf6f460>), (0, 0, 0, <MoneroAna.tx object at 0x7f828d045900>), (0, 10, 6, <MoneroAna.tx object at 0x7f828b8ee710>), (0, 7, 0, <MoneroAna.tx object at 0x7f828b928040>), (4, 2, 0, <MoneroAna.tx object at 0x7f82e661b160>), (0, 8, 1, <MoneroAna.tx object at 0x7f828bb11900>), (1, 10, 0, <MoneroAna.tx object at 0x7f82bc360e20>), (1, 8, 5, <MoneroAna.tx object at 0x7f828d0456c0>), (0, 8, 1, <MoneroAna.tx object at 0x7f828b8ee770>), (0, 0, 0, <MoneroAna.tx object at 0x7f82e64b5cc0>), (1, 3, 1, <MoneroAna.tx object at 0x7f828b9284c0>), (0, 8, 0, <MoneroAna.tx object at 0x7f828b8ef250>), (0, 2, 0, <MoneroAna.tx object at 0x7f828b926e00>), (1, 3, 0, <MoneroAna.tx object at 0x7f828b924be0>), (0, 1, 1, <MoneroAna.tx object at 0x7f828b927970>), (0, 4, 7, <MoneroAna.tx object at 0x7f828b924b50>), (0, 10, 0, <MoneroAna.tx object at 0x7f828b927910>), (1, 1, 0, <MoneroAna.tx object at 0x7f828b927340>), (0, 3, 10, <MoneroAna.tx object at 0x7f828b9261a0>), (0, 1, 10, <MoneroAna.tx object at 0x7f828b9262f0>), (1, 6, 0, <MoneroAna.tx object at 0x7f828b925000>), (0, 5, 1, <MoneroAna.tx object at 0x7f828b927d90>), (1, 4, 1, <MoneroAna.tx object at 0x7f828b927a00>), (1, 9, 0, <MoneroAna.tx object at 0x7f828b927c40>), (0, 2, 1, <MoneroAna.tx object at 0x7f828b927b20>), (1, 8, 1, <MoneroAna.tx object at 0x7f828b9278e0>), (0, 2, 0, <MoneroAna.tx object at 0x7f828b927070>), (0, 9, 0, <MoneroAna.tx object at 0x7f828b924cd0>), (0, 4, 1, <MoneroAna.tx object at 0x7f828b926ec0>), (1, 2, 0, <MoneroAna.tx object at 0x7f828b927f10>), (0, 9, 0, <MoneroAna.tx object at 0x7f828b9261d0>), (0, 8, 1, <MoneroAna.tx object at 0x7f828b9271f0>), (1, 1, 1, <MoneroAna.tx object at 0x7f828b926950>), (0, 6, 0, <MoneroAna.tx object at 0x7f828b927bb0>), (0, 2, 6, <MoneroAna.tx object at 0x7f828b926aa0>), (0, 0, 0, <MoneroAna.tx object at 0x7f828b925e10>), (0, 5, 0, <MoneroAna.tx object at 0x7f828b9270d0>), (0, 4, 11, <MoneroAna.tx object at 0x7f828b927940>), (1, 10, 0, <MoneroAna.tx object at 0x7f828b927ac0>), (1, 5, 1, <MoneroAna.tx object at 0x7f828b925990>), (1, 8, 1, <MoneroAna.tx object at 0x7f828b927a30>), (0, 0, 0, <MoneroAna.tx object at 0x7f828b9251b0>), (0, 0, 0, <MoneroAna.tx object at 0x7f828b926f50>)]\n"
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]
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}
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],
|
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"source": [
|
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"for i in get_random_path(txo, registry=registry, max_height=-1):\n",
|
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" print(i)"
|
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]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 9,
|
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"id": "d72e69a9",
|
|
"metadata": {},
|
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"outputs": [],
|
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"source": [
|
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"ptxo = [i for i in get_random_path(txo, registry=registry, max_height=-1)]"
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]
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 10,
|
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"id": "2694e827",
|
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"metadata": {},
|
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"outputs": [
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"0 9b1a163988f35e8efafd2394fcff57d2216f488ce4a9f7d4192432fc514310d2 0\n",
|
|
"1 8b6febaddd75f7bb820802b4ff889708e77bd9f0f603e13b16e36a80fa178d60 0\n",
|
|
"1 f534a5c1d7f687d866e2de26ff89ae596091ea8694e16e22714f7470cafb6f16 0\n",
|
|
"1 808f4ef689f31b8d84f08afec7355e7e9373b843187c33828953bd8e9297a97f 0\n",
|
|
"1 d1e560dbdf9cddae5add8232553c79c4f8882145e9796232b45f2225e93894cb 0\n",
|
|
"0 2f7eb777a3660c34f51707410bef0315a70f1a568c091e05cba1c04c5c394064 0\n",
|
|
"2 93dbcfd747d622fd609ac08341624a9fd72530c1fdba659995ae74c42d939aca 0\n",
|
|
"0 761fd97784e36eced3514c61c4f1a0d874eae6abae124a9fa2e251f4edb52f3c 601623800000\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
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"for i in ptxo[-1]:\n",
|
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" print(i[-2], i[-1], i[-1].outputs[i[-2]]['amount'])\n",
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" \n",
|
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"#oidx = i[-2]"
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]
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 11,
|
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"id": "a0e68476",
|
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"metadata": {},
|
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"outputs": [
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"9b1a163988f35e8efafd2394fcff57d2216f488ce4a9f7d4192432fc514310d2 2931856 False\n",
|
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"8b6febaddd75f7bb820802b4ff889708e77bd9f0f603e13b16e36a80fa178d60 2931543 False\n",
|
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"f534a5c1d7f687d866e2de26ff89ae596091ea8694e16e22714f7470cafb6f16 2930841 False\n",
|
|
"808f4ef689f31b8d84f08afec7355e7e9373b843187c33828953bd8e9297a97f 2930724 False\n",
|
|
"d1e560dbdf9cddae5add8232553c79c4f8882145e9796232b45f2225e93894cb 2930334 False\n",
|
|
"2f7eb777a3660c34f51707410bef0315a70f1a568c091e05cba1c04c5c394064 2930093 False\n",
|
|
"93dbcfd747d622fd609ac08341624a9fd72530c1fdba659995ae74c42d939aca 2929023 False\n",
|
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"761fd97784e36eced3514c61c4f1a0d874eae6abae124a9fa2e251f4edb52f3c 2923887 True\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in ptxo[:-1]:\n",
|
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" print(i, i.block_height, i.coinbase)"
|
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]
|
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},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
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"id": "6d5c7648",
|
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"metadata": {},
|
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"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
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"<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>VietorisRipsPersistence(homology_dimensions=[0])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">VietorisRipsPersistence</label><div class=\"sk-toggleable__content\"><pre>VietorisRipsPersistence(homology_dimensions=[0])</pre></div></div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"VietorisRipsPersistence(homology_dimensions=[0])"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"VR"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"id": "d5b15e67",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[ 0., 117., 0.],\n",
|
|
" [ 0., 241., 0.],\n",
|
|
" [ 0., 313., 0.],\n",
|
|
" [ 0., 390., 0.],\n",
|
|
" [ 0., 702., 0.],\n",
|
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" [ 0., 1070., 0.],\n",
|
|
" [ 0., 5136., 0.]])"
|
|
]
|
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},
|
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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],
|
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"source": [
|
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"pc = np.array([i.block_height for i in ptxo[:-1]]).reshape(-1,1)\n",
|
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"VR.fit_transform([pc])[0]"
|
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]
|
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},
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{
|
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"cell_type": "code",
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"execution_count": 14,
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"id": "782d5fd8",
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"metadata": {},
|
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"outputs": [
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"0\n"
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]
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},
|
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
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{
|
|
"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
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},
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"CPU times: user 25.4 s, sys: 2.38 s, total: 27.8 s\n",
|
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"Wall time: 1min 30s\n"
|
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]
|
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}
|
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],
|
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"source": [
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"%%time\n",
|
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"paths = sample_paths(500, txo, registry=registry)"
|
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]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 23,
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"id": "4ce6b6f7",
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"metadata": {},
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"outputs": [
|
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{
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"data": {
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"text/plain": [
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"112"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
|
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}
|
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],
|
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"source": [
|
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"len(txos)"
|
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]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 24,
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"id": "c244e083",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"6984"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(registry)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"id": "c48502d0",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"500"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(paths)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "73767204",
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'paths' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m plt\u001b[38;5;241m.\u001b[39mhist([\u001b[38;5;28mlen\u001b[39m(j) \u001b[38;5;28;01mfor\u001b[39;00m j \u001b[38;5;129;01min\u001b[39;00m \u001b[43mpaths\u001b[49m], bins\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m25\u001b[39m)\n",
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"\u001b[0;31mNameError\u001b[0m: name 'paths' is not defined"
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]
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}
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],
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"source": [
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"plt.hist([len(j) for j in paths], bins=25);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "54fba003",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"a452af22b68f7e61954b07dfc7a039d518d12874c611cb37f21aa121e3181e9c\n",
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"0\n",
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"0\n",
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"0\n",
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"c3e6d478c1176950df638162bd15aeed33feaa9b7a35a387634b5b52bfe07b18\n",
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"0\n"
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]
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{
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"name": "stderr",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6b9fd744a50b9ed7a9e17390993eaf8c8ba21979fccc1b7f4fa74c87ac3c8509\n",
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"0\n",
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"0\n",
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"0\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"904f5024c1e72428d6f0596e5029eea1b3b799a335ed80abcc8ea84b777991f4\n",
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"0\n"
|
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"e887824f0ecfa8589956f78d570be67e8954c0c757e7e98f24c27f45a468f8bc\n",
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"0\n",
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"b2098ad52e6d8d08f13ab66e8453efe605ea7f4e1b70292ff88bc04308565e20\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3ea10483dfee0a98517da11e0d76f1c6cc5c4bc8a33720755497a6ce8f0ad873\n",
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"0\n",
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"109c6bface1b45da50ecbb40673190a03e875949edcc1f272e944235ef1dfd27\n",
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"0\n",
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"f4b4b91be684550fba21c623e81a0f8bc0920ac88f9281b11f4979f5b2a20d45\n",
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"0\n",
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"567bfe31ae85a119dd296efee23c33004eabd6d6f5bf0f65245de81ab54202af\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ce9f31e33653cbfc3eb9daf60d6d380d601fcb103c47ab656732509960931f81\n",
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"0\n"
|
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]
|
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"17c77caf3ebec8429e94ab1a7e101b262d6e4a8d650ec32392275a909d4d9e77\n",
|
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"0\n",
|
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"1296d14fff404e6c1e3a7bac90fb1bfa02adbcaef2458c2f262857931d66cc3f\n",
|
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"0\n"
|
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]
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},
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"a9235be3fc49514f44a9a305fd56df3c41a8e74aa0c9eba6174a85bf81c821a6\n",
|
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"0\n"
|
|
]
|
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},
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3767a04dfe6b23086f4deb706eb004d1be6a382ccdda71de54398df7877c6635\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
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"text": [
|
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"f3dc83b49cdbf21d0cb7000928d2aa31688c3ec90d94b7d5fe3505f67b94d877\n",
|
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"0\n"
|
|
]
|
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},
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"d362bde3f9cd076f4239014335c645b7b1d5ac63fc7c10916d5edffc60b37136\n",
|
|
"0\n",
|
|
"c1fa31b4326dca0a388381edbbc63f4e57beb59cc7494e943161444b4b3f0213\n",
|
|
"0\n",
|
|
"7b071d4e3b3db93c39c5bef5b7bc5097f58b04500a400b43c15343690cbbbeba\n",
|
|
"0\n",
|
|
"9b3e62c514c442e6e586e65cc15d0d1b1e7bca5cce7cef63a2c20f43daacee21\n",
|
|
"0\n"
|
|
]
|
|
},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6da9af709032cffa1e753a2b8f107f797073bc7b0087a8612bfae329a2821014\n",
|
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"0\n"
|
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]
|
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ac32fa804a9478d39d0c7e1cdbb73cf2d21fbaab35eeadee6030cc3f468d6b5f\n",
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"0\n",
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"a57abf32d5b9f748ce7f542fc07e038f3fe17e2a54805382a65f8de06fab231b\n",
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"0\n",
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"795434e9b17b21b192f3650964d11fe045ce690e07686fed2c4558662a1d53f5\n",
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"0\n",
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"fadab1703e13fd62f1b8643d354ea8b96c9709ccd10cf756e7d7af991d758e97\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"73c658989048360cac9d523955e47a60fc765bc93c044080e0f8745ad1612c60\n",
|
|
"0\n",
|
|
"311e28cb994843bb791e7ad1808b425bd288fa9f18012d3216106ca51007e6c9\n",
|
|
"0\n",
|
|
"8f9a15cb7bd068d7b531b9c4ac9fa5a29a6b18fa7c6d822006781f833b6d4aa6\n",
|
|
"0\n",
|
|
"042b4e8f09240d3c18e6e95d8e1485e09169544aae48c6eb0d81a7d11aeb8a07\n",
|
|
"0\n"
|
|
]
|
|
},
|
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{
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"name": "stderr",
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"output_type": "stream",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"e83f55b733d9bc49b94b260cef4eca439cf3deaefc3115d6ed90de20ac952ca3\n",
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"0\n"
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]
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},
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"da5ca0676dc0c7d9f27e1fdc2014acb2ad9257ff4858884eb00e93390bac03cc\n",
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"0\n"
|
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]
|
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
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"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"b27bb4cc6fc76cfb58e30714cf577cb2041462f8b5df1b1bbe8a725308cda10e\n",
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"0\n"
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]
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"289edd55dbd7c06c09f11810b928f6fc4f02baeebbd03595256d8a9dfb342b1b\n",
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"0\n",
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"1390b53d5fe4333f4a829f2edc05c63100e8fec01d7e0896e177ccea03fedb3b\n",
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"0\n",
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"829106ab4519b3eca65c153894fbadd4541c5be97703bd96939a20575198f5fa\n",
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"0\n"
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]
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},
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"output_type": "stream",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"731781a931d6c26c7bf967ad3ec8127ed988fb4cd0a0b71e60db9be763a1bd63\n",
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"0\n",
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"971f493b77dbca9c9e8d700aab0266941e5113490ba74ddddf637fdc6e4082d6\n",
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"0\n"
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]
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},
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{
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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},
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{
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"0\n"
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]
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{
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0305e961c2b75d3f430c48f0cfde35c592555534a663292c394f3ebee6bc7685\n",
|
|
"0\n",
|
|
"158ce1e4a9d26046a4877f23aaf394f0433bb3c157f2cece7fe6c425da23a3e4\n",
|
|
"0\n",
|
|
"01c1166db3d0f088690e34d64e4d17dc717732e8ba299e73ee9b521f933e23e4\n",
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"380d56b5c3759e104fbb175e26ea1c91dc7a35008e28a92c5248cf4bc207a4d5\n",
|
|
"0\n",
|
|
"4c42df2396a75992b034e71b99f4db5f1f4c936e0f8831aa49e82fbc8a530a03\n",
|
|
"0\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ff628b103df045043b796e672a12bcedf474c71ed05f9ab7020285f73a9d1426\n",
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"0\n",
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"29565f9762af03d8e45159f7635a7860ee7364f429ad45caf47d6586e47b18ef\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"d7d58fafaaaad821ef64631d9e7f7d9cfe533f76ec3233e715eda365be56c920\n",
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"0\n",
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"0055f36e1a38936e6717cb8d12f57134dc461e5a3bbcca3cf33944f312ac0565\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
|
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{
|
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"d56e4f6d72c83e0bceff4694568e5b591b9dd87e64484243cbcd837338a901c5\n",
|
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"0\n",
|
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"af6c8a92f9c9e6f044356a0e003c8e6a18b593001c84342c82445ed7489e30a4\n",
|
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"0\n",
|
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"e556b81fa3c70dd53ee126e506a8cc0c277b8512f8496cd7cc85822e384afe8a\n",
|
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"0\n"
|
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]
|
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},
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
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"text": [
|
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"d0be4b7800c7e3fdd9fb204a95ce02d9e569c0a166480b5b5c1b389d00696017\n",
|
|
"0\n",
|
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"cf904e24c3997237fcacb32a649e2ea5745c7052a89699d0ee76ff3bd7b79e97\n",
|
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"0\n",
|
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"30324e3bd6055dce5a300edfec4994b02feb61b47698e48fb7a0029814ff6c0a\n",
|
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"0\n",
|
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"fa5f73f7fc59ebd7238ff329403c6c483c5e51f8e05803b6699f8347b2859add\n",
|
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"0\n",
|
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"ca12b029e7a99a93b8afbf61874d0d1761076af9355833bdac529ca5e881bb7f\n",
|
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"0\n"
|
|
]
|
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},
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{
|
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"name": "stderr",
|
|
"output_type": "stream",
|
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"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"9ee8ac1376afa71e206f3bb97d1311a49878d541ae39ad3a3fef8cc02e6260b6\n",
|
|
"0\n",
|
|
"e7a9e7584ac4a539bfb4b0d3ec918704579d43d20a0a5fe9593138d36cc102cb\n",
|
|
"0\n",
|
|
"62191f1f7aefb435ec715b8e60c19a9c4663503320f49951d7d3ba1feb8f9025\n",
|
|
"0\n",
|
|
"9eefb67b27eca2c92e065d24f49d91bd911c102a64b4bad9ad46bcc5a7f62765\n",
|
|
"0\n",
|
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"b91244f77a5938dd44243040490812889e5ee33a90dfb29a1e5ab0a56344af04\n",
|
|
"0\n",
|
|
"7fe135fe5e49f51cc3fccbc6f61b70c92d6dde0b429d9f67040699b3bec1dfad\n",
|
|
"0\n",
|
|
"2901c6b0283bdce720770d9ac7e0b4a01162e3b58bcdae3a8472b63896f9bd2a\n",
|
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"0\n",
|
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"c28cac162c3a5d590ce8081aef6dcc62c4417ddaccd1770714a76446a8a593f0\n",
|
|
"0\n"
|
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]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6b04d3a6063a207c3cbc42f44ded5a35885ece20b06e2042571439f31a2fe072\n",
|
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"0\n"
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]
|
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"e79b275e70938d1d797f73d334f11e604c241985948e72d84a245b7df71deb50\n",
|
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"0\n",
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"fa439d18939ac200ade1bbae9f7976ad35019136d61fe63d406f1cc23c3911ce\n",
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"0\n",
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"0fe9870f03882d7f1bd33914a0b99fdd7202bca285756809cdb609ea0a8e6187\n",
|
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"0\n",
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"e314e7c1f43639a232344e30b2ed38453887cb01189c577a6d10b46ce7bfa735\n",
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"0\n"
|
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]
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},
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{
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
|
]
|
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},
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"c331ebd8dac1c4443cd261d69f6226252be5342db061d012fa2144415db7902b\n",
|
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"0\n",
|
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"1daad1d0e6b47d990691d273c0ff9d6b1e380bae99234fecc807ade1edb934cb\n",
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"0\n",
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"cc555fce924acfa7c20d396b19c37662bbeb938571e6225700afe20bec1b14c8\n",
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"0\n",
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"312b888345d61178970ff994b7f15be43f54da9a3228922461114aead3a4535c\n",
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"0\n",
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"314b8719426360c431148e00a6057ba976d24da618229aae4ea5dd1cbc610f94\n",
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"0\n",
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"f52387b0fce5e4dbada29650acb1db897a366f7c9a057580032dbd36f7e3ec54\n",
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"0\n",
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"e5c41287f0a3d6e49e1b26960635286b891e4bec49d646699a47e7f4e1628edb\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
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},
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"c2910738568e4ab0ee9f74d6f3fb36055da578c885e93074ae031a77fa736f3a\n",
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"0\n",
|
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"fcc07ee7225da64dd0643b002d80c27e3b38b012f42cdfb4ee806421d5784ee7\n",
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"0\n",
|
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"c5cffdeba2baf42465e801fc9bfb33ae1899c465c9406088db8aeea2c70d359d\n",
|
|
"0\n",
|
|
"db49b66eadda204e7cdbc3c3f5757087032094d889d0e3e576049d2925c1047e\n",
|
|
"0\n",
|
|
"222321f26605cf065c33adeff39a10f5003be48316ef7bb774aca1d36be6e17c\n",
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"348ba01d54c2ba36e5d698c776caf9c22ce0b3d0325fbd8b2d6a8303aac1073a\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"5beba8dddcb7033fdcadc1e45243b4917477cb66eee205b17620c4ebd96bd1be\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"974918ed0ab5105de925da50cbad4852b9ad72f3d4f75e8acf4763a638c33d1f\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317\n",
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"0\n",
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"240b18c4778c41ab6ce3443c71d7a8d624cf8023d12f85fd28b22c16db4d35fb\n",
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"0\n",
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"f9526052ac05454564186d079a3abcfabe3ed3ba3a516fa8963ab68d33097202\n",
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"0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
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" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" check_point_clouds(X, accept_sparse=True,\n",
|
|
"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
|
" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
|
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},
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"3747e0a75500cb7551117b3b53e49828fac83c48b63aad71810d565070cb4cda\n",
|
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"0\n"
|
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]
|
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},
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:232: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" check_point_clouds(X, accept_sparse=True,\n",
|
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"/home/zqdizzah/.anaconda3/lib/python3.10/site-packages/gtda/homology/simplicial.py:299: DataDimensionalityWarning: All arrays/matrices are square. This is consistent with a collection of distance/adjacency matrices, but the entries will be treated as collections of vectors in Euclidean space.\n",
|
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" X = check_point_clouds(X, accept_sparse=True,\n"
|
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]
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},
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"cc7268d56d047073959f81ffdd3169aebfb7b276bb659a1295ad17c77a3081dc\n",
|
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"0\n",
|
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"CPU times: user 2min 44s, sys: 14.9 s, total: 2min 59s\n",
|
|
"Wall time: 6h 15min 18s\n"
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]
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}
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],
|
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"source": [
|
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"%%time\n",
|
|
"mpaths = []\n",
|
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"for j in txos:\n",
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" try:\n",
|
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" print(j)\n",
|
|
" if j.coinbase==False:\n",
|
|
" mpaths.append(sample_paths(30, j, registry=registry))\n",
|
|
" except:\n",
|
|
" print('Error', j)"
|
|
]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 15,
|
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"id": "ab4a214f",
|
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"metadata": {},
|
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"outputs": [
|
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{
|
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"data": {
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"text/plain": [
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"111"
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]
|
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},
|
|
"execution_count": 15,
|
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"metadata": {},
|
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"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"len(mpaths)"
|
|
]
|
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},
|
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{
|
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"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "e6a21685",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"tmp = []\n",
|
|
"for j in mpaths:\n",
|
|
" tmp+=[len(k) for k in j] "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 62,
|
|
"id": "359c877a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.hist(tmp, bins=25);\n",
|
|
"plt.xlabel(\"Hops to Coinbase\");\n",
|
|
"plt.title(\"3300 Paths from Block 2931928\")\n",
|
|
"plt.savefig('pathstocoinbase.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"id": "c235c074",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"54884"
|
|
]
|
|
},
|
|
"execution_count": 25,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"len(registry)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"id": "731a8f6c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"pcs = [[np.array([i[-1].block_height for i in j]).reshape(-1,1) for j in k] for k in mpaths]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"id": "15dc1fc7",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"pcs2 = []\n",
|
|
"for i in pcs:\n",
|
|
" pcs2+=i"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"id": "d9bfe199",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[array([[2931833],\n",
|
|
" [2900339],\n",
|
|
" [2900322],\n",
|
|
" [2899532],\n",
|
|
" [2879401],\n",
|
|
" [2879105]]),\n",
|
|
" array([[2931612],\n",
|
|
" [2931009],\n",
|
|
" [2930886],\n",
|
|
" [2930545],\n",
|
|
" [2930275],\n",
|
|
" [2893000],\n",
|
|
" [2892799],\n",
|
|
" [2886226],\n",
|
|
" [2799971],\n",
|
|
" [2799925],\n",
|
|
" [2785873],\n",
|
|
" [2784964],\n",
|
|
" [2783283],\n",
|
|
" [2781108],\n",
|
|
" [2781036],\n",
|
|
" [2780535],\n",
|
|
" [1346404],\n",
|
|
" [1345930],\n",
|
|
" [1287248],\n",
|
|
" [1286948],\n",
|
|
" [1283597],\n",
|
|
" [1228129]]),\n",
|
|
" array([[2927356],\n",
|
|
" [2927337],\n",
|
|
" [2927310],\n",
|
|
" [2926829],\n",
|
|
" [2925429],\n",
|
|
" [2924970],\n",
|
|
" [2924857]]),\n",
|
|
" array([[2931860],\n",
|
|
" [2931425],\n",
|
|
" [2930982],\n",
|
|
" [2930971],\n",
|
|
" [2928422],\n",
|
|
" [2927381],\n",
|
|
" [2926483],\n",
|
|
" [2926232],\n",
|
|
" [2926068],\n",
|
|
" [2922740],\n",
|
|
" [2904179],\n",
|
|
" [2904054],\n",
|
|
" [2903760],\n",
|
|
" [2897704],\n",
|
|
" [2897566],\n",
|
|
" [2896232],\n",
|
|
" [2896066],\n",
|
|
" [2895742],\n",
|
|
" [2886516],\n",
|
|
" [2886022],\n",
|
|
" [2879799],\n",
|
|
" [2774692],\n",
|
|
" [2774423],\n",
|
|
" [2773211],\n",
|
|
" [2773004],\n",
|
|
" [2758243]]),\n",
|
|
" array([[2931013],\n",
|
|
" [2758763],\n",
|
|
" [2747662],\n",
|
|
" [2743330],\n",
|
|
" [2740539],\n",
|
|
" [2684986],\n",
|
|
" [2680365],\n",
|
|
" [2680172],\n",
|
|
" [2680151],\n",
|
|
" [2679322],\n",
|
|
" [2669970],\n",
|
|
" [2669176],\n",
|
|
" [2666502],\n",
|
|
" [2663162],\n",
|
|
" [2663018],\n",
|
|
" [2662269],\n",
|
|
" [2662175],\n",
|
|
" [2662162],\n",
|
|
" [2662130],\n",
|
|
" [2645133],\n",
|
|
" [2645123],\n",
|
|
" [2642266],\n",
|
|
" [2642228],\n",
|
|
" [2642212],\n",
|
|
" [2642191],\n",
|
|
" [2641612],\n",
|
|
" [2636123],\n",
|
|
" [2635491],\n",
|
|
" [2618338],\n",
|
|
" [2618165],\n",
|
|
" [2616490],\n",
|
|
" [2615370],\n",
|
|
" [2612818],\n",
|
|
" [2612710],\n",
|
|
" [2591434],\n",
|
|
" [2587319],\n",
|
|
" [2587269],\n",
|
|
" [2587014],\n",
|
|
" [2586975],\n",
|
|
" [2582145],\n",
|
|
" [2575564],\n",
|
|
" [2575522],\n",
|
|
" [2575483],\n",
|
|
" [2575350],\n",
|
|
" [2575325],\n",
|
|
" [2574522]]),\n",
|
|
" array([[2931747],\n",
|
|
" [2931469],\n",
|
|
" [2931435],\n",
|
|
" [2927419],\n",
|
|
" [2812562],\n",
|
|
" [2809020],\n",
|
|
" [2806041],\n",
|
|
" [2806003],\n",
|
|
" [2805978],\n",
|
|
" [2805094],\n",
|
|
" [2804412],\n",
|
|
" [2804371],\n",
|
|
" [2793876],\n",
|
|
" [2793779],\n",
|
|
" [2792952],\n",
|
|
" [2792739]]),\n",
|
|
" array([[2931428],\n",
|
|
" [2646835],\n",
|
|
" [2645468],\n",
|
|
" [2644586],\n",
|
|
" [2644419],\n",
|
|
" [2644409],\n",
|
|
" [2644328],\n",
|
|
" [2642430],\n",
|
|
" [2640902],\n",
|
|
" [2633332],\n",
|
|
" [2268617],\n",
|
|
" [2268603],\n",
|
|
" [1981576],\n",
|
|
" [1842851],\n",
|
|
" [1841646],\n",
|
|
" [1840907],\n",
|
|
" [1799543],\n",
|
|
" [1798746],\n",
|
|
" [1798679],\n",
|
|
" [1798629],\n",
|
|
" [1371738],\n",
|
|
" [1356071],\n",
|
|
" [1324388],\n",
|
|
" [1324376],\n",
|
|
" [1323993],\n",
|
|
" [1316751],\n",
|
|
" [1315914],\n",
|
|
" [1315898],\n",
|
|
" [1271609],\n",
|
|
" [1263944]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931794]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2926849],\n",
|
|
" [2926835],\n",
|
|
" [2925750],\n",
|
|
" [2925667],\n",
|
|
" [2924480],\n",
|
|
" [2923295],\n",
|
|
" [2915993],\n",
|
|
" [2915473],\n",
|
|
" [2912472],\n",
|
|
" [2874117],\n",
|
|
" [2870888],\n",
|
|
" [2869212],\n",
|
|
" [2869006],\n",
|
|
" [2867887],\n",
|
|
" [2864285],\n",
|
|
" [2864267],\n",
|
|
" [2848955]]),\n",
|
|
" array([[2931736],\n",
|
|
" [2931212],\n",
|
|
" [2928912],\n",
|
|
" [2928365],\n",
|
|
" [2828749],\n",
|
|
" [2803506]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2915928],\n",
|
|
" [2914752],\n",
|
|
" [2897128],\n",
|
|
" [2889797],\n",
|
|
" [2888602],\n",
|
|
" [2888275],\n",
|
|
" [2888246],\n",
|
|
" [2887806],\n",
|
|
" [2887759],\n",
|
|
" [2887581],\n",
|
|
" [2863370],\n",
|
|
" [2862133],\n",
|
|
" [2856783],\n",
|
|
" [2856439],\n",
|
|
" [2855844]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2925385]]),\n",
|
|
" array([[2931017],\n",
|
|
" [2906010],\n",
|
|
" [2881538],\n",
|
|
" [2880881],\n",
|
|
" [2880752],\n",
|
|
" [2843815],\n",
|
|
" [2795307],\n",
|
|
" [2792342],\n",
|
|
" [2791885],\n",
|
|
" [2789423],\n",
|
|
" [2776816],\n",
|
|
" [2776697],\n",
|
|
" [2776565],\n",
|
|
" [2775668],\n",
|
|
" [2775570],\n",
|
|
" [2771456],\n",
|
|
" [2771420],\n",
|
|
" [2771262],\n",
|
|
" [2768935],\n",
|
|
" [2768800],\n",
|
|
" [2762769],\n",
|
|
" [2759765],\n",
|
|
" [2754957],\n",
|
|
" [2749920]]),\n",
|
|
" array([[2928625],\n",
|
|
" [2928545],\n",
|
|
" [2915385],\n",
|
|
" [2913543],\n",
|
|
" [2913141],\n",
|
|
" [2912174],\n",
|
|
" [2911779],\n",
|
|
" [2910636],\n",
|
|
" [2908682],\n",
|
|
" [2894263],\n",
|
|
" [2894245],\n",
|
|
" [2846624],\n",
|
|
" [2658247],\n",
|
|
" [2658223],\n",
|
|
" [2656480],\n",
|
|
" [2656434],\n",
|
|
" [2655350],\n",
|
|
" [2653590],\n",
|
|
" [2634855],\n",
|
|
" [2634059],\n",
|
|
" [2632175],\n",
|
|
" [2628844],\n",
|
|
" [2625819],\n",
|
|
" [2625730],\n",
|
|
" [2623083],\n",
|
|
" [2621811],\n",
|
|
" [2621562],\n",
|
|
" [2619913],\n",
|
|
" [2619380],\n",
|
|
" [2045118],\n",
|
|
" [2043278],\n",
|
|
" [2043250],\n",
|
|
" [2042559],\n",
|
|
" [2042533],\n",
|
|
" [2033158],\n",
|
|
" [1970002],\n",
|
|
" [1929831]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931521],\n",
|
|
" [2930290],\n",
|
|
" [2930201],\n",
|
|
" [2929714],\n",
|
|
" [2929670],\n",
|
|
" [2867392],\n",
|
|
" [2866523],\n",
|
|
" [2866434],\n",
|
|
" [2864811],\n",
|
|
" [2864178],\n",
|
|
" [2862633],\n",
|
|
" [2862601],\n",
|
|
" [2862579],\n",
|
|
" [2789842]]),\n",
|
|
" array([[2931612],\n",
|
|
" [2890713],\n",
|
|
" [2889709],\n",
|
|
" [2882896],\n",
|
|
" [2882668],\n",
|
|
" [2882400],\n",
|
|
" [2882185],\n",
|
|
" [2830718]]),\n",
|
|
" array([[2658776],\n",
|
|
" [2658608],\n",
|
|
" [1758889],\n",
|
|
" [1756084],\n",
|
|
" [1681784],\n",
|
|
" [1649866],\n",
|
|
" [1648309],\n",
|
|
" [1563752],\n",
|
|
" [1563734],\n",
|
|
" [1563710],\n",
|
|
" [1329047],\n",
|
|
" [1318175],\n",
|
|
" [1318164],\n",
|
|
" [1305552],\n",
|
|
" [1303047],\n",
|
|
" [1270963]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2931772],\n",
|
|
" [2885628],\n",
|
|
" [2881630],\n",
|
|
" [2879840]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2924891],\n",
|
|
" [2915816],\n",
|
|
" [2914158],\n",
|
|
" [2902869],\n",
|
|
" [2902856],\n",
|
|
" [2875509],\n",
|
|
" [2875114],\n",
|
|
" [2875099],\n",
|
|
" [2872348],\n",
|
|
" [2872266],\n",
|
|
" [2869210]]),\n",
|
|
" array([[2931213],\n",
|
|
" [2842411]]),\n",
|
|
" array([[2658776],\n",
|
|
" [2655724],\n",
|
|
" [2651968],\n",
|
|
" [2651404],\n",
|
|
" [2644966],\n",
|
|
" [2369824],\n",
|
|
" [2366715],\n",
|
|
" [2366041],\n",
|
|
" [2365817],\n",
|
|
" [2363787],\n",
|
|
" [2361997],\n",
|
|
" [2251835],\n",
|
|
" [2251803],\n",
|
|
" [2232656],\n",
|
|
" [2232637],\n",
|
|
" [2232494],\n",
|
|
" [2232439],\n",
|
|
" [2231772],\n",
|
|
" [2227219],\n",
|
|
" [2227074],\n",
|
|
" [2226991],\n",
|
|
" [2226141],\n",
|
|
" [1425971],\n",
|
|
" [1248117],\n",
|
|
" [1244784],\n",
|
|
" [1244683],\n",
|
|
" [1230309],\n",
|
|
" [1228059],\n",
|
|
" [1226778],\n",
|
|
" [1226755],\n",
|
|
" [1223790],\n",
|
|
" [ 115979]]),\n",
|
|
" array([[2929804],\n",
|
|
" [2751661]]),\n",
|
|
" array([[2928986],\n",
|
|
" [2924505],\n",
|
|
" [2659170],\n",
|
|
" [2658519],\n",
|
|
" [2657778],\n",
|
|
" [2652778],\n",
|
|
" [2651419],\n",
|
|
" [2651132],\n",
|
|
" [2606136],\n",
|
|
" [2605330],\n",
|
|
" [2605290],\n",
|
|
" [2599737],\n",
|
|
" [2598394],\n",
|
|
" [2582387],\n",
|
|
" [2580466],\n",
|
|
" [2519249],\n",
|
|
" [2518291],\n",
|
|
" [2312545],\n",
|
|
" [2310473],\n",
|
|
" [2308511],\n",
|
|
" [2308407],\n",
|
|
" [2305999],\n",
|
|
" [2302695],\n",
|
|
" [2292449],\n",
|
|
" [2133575],\n",
|
|
" [2133522],\n",
|
|
" [2133498],\n",
|
|
" [2132048],\n",
|
|
" [2131370],\n",
|
|
" [2131360],\n",
|
|
" [2131279],\n",
|
|
" [2131258],\n",
|
|
" [2127977],\n",
|
|
" [2124935],\n",
|
|
" [2124294],\n",
|
|
" [2090319]]),\n",
|
|
" array([[2928986],\n",
|
|
" [2925999],\n",
|
|
" [2824946],\n",
|
|
" [2824162],\n",
|
|
" [2824145],\n",
|
|
" [2823850],\n",
|
|
" [2823785],\n",
|
|
" [2823336],\n",
|
|
" [2822325],\n",
|
|
" [2822112],\n",
|
|
" [2821438],\n",
|
|
" [2821348],\n",
|
|
" [2820322],\n",
|
|
" [2811514],\n",
|
|
" [2811259]]),\n",
|
|
" array([[2931631],\n",
|
|
" [2927564],\n",
|
|
" [2920604],\n",
|
|
" [2910050],\n",
|
|
" [2909777],\n",
|
|
" [2909251],\n",
|
|
" [2908554],\n",
|
|
" [2907299],\n",
|
|
" [2875769],\n",
|
|
" [2875075],\n",
|
|
" [2874980],\n",
|
|
" [2874885],\n",
|
|
" [2869905]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2931852],\n",
|
|
" [2915717],\n",
|
|
" [2915390],\n",
|
|
" [2893608]]),\n",
|
|
" array([[2931860],\n",
|
|
" [2928627],\n",
|
|
" [2928576],\n",
|
|
" [2928385],\n",
|
|
" [2925381],\n",
|
|
" [2923865],\n",
|
|
" [2912534],\n",
|
|
" [2912445]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931745],\n",
|
|
" [2916136],\n",
|
|
" [2912052],\n",
|
|
" [2910329],\n",
|
|
" [2909607],\n",
|
|
" [2908921]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2931731],\n",
|
|
" [2930912],\n",
|
|
" [2930893],\n",
|
|
" [2907436],\n",
|
|
" [2907001],\n",
|
|
" [2892375],\n",
|
|
" [2891949],\n",
|
|
" [2477726],\n",
|
|
" [2165604],\n",
|
|
" [2161529],\n",
|
|
" [2161401],\n",
|
|
" [2016940],\n",
|
|
" [2013524],\n",
|
|
" [2011235],\n",
|
|
" [1993978],\n",
|
|
" [1959329],\n",
|
|
" [1958627],\n",
|
|
" [1957961],\n",
|
|
" [1957010],\n",
|
|
" [1956911],\n",
|
|
" [1956756],\n",
|
|
" [1956379],\n",
|
|
" [1954855],\n",
|
|
" [1954543],\n",
|
|
" [1942730]]),\n",
|
|
" array([[2930710],\n",
|
|
" [2926140],\n",
|
|
" [2918576],\n",
|
|
" [2913961],\n",
|
|
" [2908489],\n",
|
|
" [2889197],\n",
|
|
" [2889172],\n",
|
|
" [2888691],\n",
|
|
" [2885679],\n",
|
|
" [2885375],\n",
|
|
" [2883244],\n",
|
|
" [2874343],\n",
|
|
" [2874280],\n",
|
|
" [2874045],\n",
|
|
" [2873038]]),\n",
|
|
" array([[2931609],\n",
|
|
" [2908090],\n",
|
|
" [2907622],\n",
|
|
" [2907521],\n",
|
|
" [2850168],\n",
|
|
" [2849975],\n",
|
|
" [2849579],\n",
|
|
" [2849544],\n",
|
|
" [2843397],\n",
|
|
" [2842022],\n",
|
|
" [2770450]]),\n",
|
|
" array([[2929596],\n",
|
|
" [2929397],\n",
|
|
" [2929386],\n",
|
|
" [2928723],\n",
|
|
" [2925340],\n",
|
|
" [2921652],\n",
|
|
" [2921459],\n",
|
|
" [2911669],\n",
|
|
" [2905521],\n",
|
|
" [2900294],\n",
|
|
" [2882318],\n",
|
|
" [2881185],\n",
|
|
" [2851245],\n",
|
|
" [2851163],\n",
|
|
" [2777779],\n",
|
|
" [2731548],\n",
|
|
" [2731484]]),\n",
|
|
" array([[2924666]]),\n",
|
|
" array([[2921889],\n",
|
|
" [2921826],\n",
|
|
" [2921717],\n",
|
|
" [2916012],\n",
|
|
" [2915818],\n",
|
|
" [2915598],\n",
|
|
" [2915575],\n",
|
|
" [2915525],\n",
|
|
" [2915447],\n",
|
|
" [2900814],\n",
|
|
" [2775593],\n",
|
|
" [2344865],\n",
|
|
" [1980378],\n",
|
|
" [1962295],\n",
|
|
" [1962150],\n",
|
|
" [1961110],\n",
|
|
" [1936825],\n",
|
|
" [1934737],\n",
|
|
" [1934719],\n",
|
|
" [1933841],\n",
|
|
" [1929953],\n",
|
|
" [1929663],\n",
|
|
" [1923744],\n",
|
|
" [1923552],\n",
|
|
" [1921351],\n",
|
|
" [1921170],\n",
|
|
" [1921014],\n",
|
|
" [1868416],\n",
|
|
" [1866155],\n",
|
|
" [1865017],\n",
|
|
" [1863504],\n",
|
|
" [1849610],\n",
|
|
" [1849320],\n",
|
|
" [1849161],\n",
|
|
" [1846742],\n",
|
|
" [1846592]]),\n",
|
|
" array([[2929685],\n",
|
|
" [2893430],\n",
|
|
" [2888851]]),\n",
|
|
" array([[2922991],\n",
|
|
" [2922979],\n",
|
|
" [2922136],\n",
|
|
" [2812041],\n",
|
|
" [2789664]]),\n",
|
|
" array([[2929596],\n",
|
|
" [2929586],\n",
|
|
" [2929119],\n",
|
|
" [2929108],\n",
|
|
" [2915991],\n",
|
|
" [2915972],\n",
|
|
" [2911382],\n",
|
|
" [2660974],\n",
|
|
" [2660683],\n",
|
|
" [2660232],\n",
|
|
" [2659840],\n",
|
|
" [2658658],\n",
|
|
" [2658636],\n",
|
|
" [2617912],\n",
|
|
" [2617691],\n",
|
|
" [2617486],\n",
|
|
" [2564369],\n",
|
|
" [2559369],\n",
|
|
" [2559351],\n",
|
|
" [2558635],\n",
|
|
" [2552219],\n",
|
|
" [2550248],\n",
|
|
" [2535606],\n",
|
|
" [2535533],\n",
|
|
" [2533828],\n",
|
|
" [2533795],\n",
|
|
" [2533784],\n",
|
|
" [2530047]]),\n",
|
|
" array([[2931872],\n",
|
|
" [2931615],\n",
|
|
" [2924011],\n",
|
|
" [2919503],\n",
|
|
" [2909545],\n",
|
|
" [2909369],\n",
|
|
" [2908641],\n",
|
|
" [2336320],\n",
|
|
" [2332160],\n",
|
|
" [2332121],\n",
|
|
" [2331429],\n",
|
|
" [2331413],\n",
|
|
" [2331305],\n",
|
|
" [2330517],\n",
|
|
" [2330469],\n",
|
|
" [2330450],\n",
|
|
" [2328868],\n",
|
|
" [2328280],\n",
|
|
" [2328021],\n",
|
|
" [2254092],\n",
|
|
" [2237641],\n",
|
|
" [2236704]]),\n",
|
|
" array([[2931810],\n",
|
|
" [2930118],\n",
|
|
" [2928847],\n",
|
|
" [2926030],\n",
|
|
" [2849125],\n",
|
|
" [2843914],\n",
|
|
" [2843876],\n",
|
|
" [2843629]]),\n",
|
|
" array([[2931609],\n",
|
|
" [2827276],\n",
|
|
" [2735605],\n",
|
|
" [2728765],\n",
|
|
" [2727032],\n",
|
|
" [2726689],\n",
|
|
" [2725217],\n",
|
|
" [2683099],\n",
|
|
" [2682698],\n",
|
|
" [2682601],\n",
|
|
" [2677173],\n",
|
|
" [2677154],\n",
|
|
" [2632509]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2931717],\n",
|
|
" [2931630],\n",
|
|
" [2930383],\n",
|
|
" [2921595],\n",
|
|
" [2921576],\n",
|
|
" [2921541],\n",
|
|
" [2921097],\n",
|
|
" [2920827],\n",
|
|
" [2920775],\n",
|
|
" [2918843],\n",
|
|
" [2918584],\n",
|
|
" [2918550],\n",
|
|
" [2914590],\n",
|
|
" [2906434],\n",
|
|
" [2906403],\n",
|
|
" [2900176]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2931818],\n",
|
|
" [2931742],\n",
|
|
" [2920288],\n",
|
|
" [2917128],\n",
|
|
" [1801975],\n",
|
|
" [1733205],\n",
|
|
" [1722694],\n",
|
|
" [1722294]]),\n",
|
|
" array([[2931609],\n",
|
|
" [2931297],\n",
|
|
" [2928640]]),\n",
|
|
" array([[2924666]]),\n",
|
|
" array([[2921889],\n",
|
|
" [2796695],\n",
|
|
" [2796652],\n",
|
|
" [2783463],\n",
|
|
" [2782849],\n",
|
|
" [2780904],\n",
|
|
" [2776109],\n",
|
|
" [2775928],\n",
|
|
" [2775755],\n",
|
|
" [2774916]]),\n",
|
|
" array([[2931341],\n",
|
|
" [2931065],\n",
|
|
" [2917129],\n",
|
|
" [2859087],\n",
|
|
" [2855680],\n",
|
|
" [2681520],\n",
|
|
" [2681326],\n",
|
|
" [2679741],\n",
|
|
" [2663676],\n",
|
|
" [2614904],\n",
|
|
" [2614889],\n",
|
|
" [2612549],\n",
|
|
" [2610201]]),\n",
|
|
" array([[2931341],\n",
|
|
" [2929108],\n",
|
|
" [2928421],\n",
|
|
" [2911528],\n",
|
|
" [2905837],\n",
|
|
" [2905749],\n",
|
|
" [2897691],\n",
|
|
" [2897678],\n",
|
|
" [2894844],\n",
|
|
" [2893025],\n",
|
|
" [2892932],\n",
|
|
" [2890944],\n",
|
|
" [2761074],\n",
|
|
" [2748117],\n",
|
|
" [2748007],\n",
|
|
" [2726316],\n",
|
|
" [2725802],\n",
|
|
" [2725211],\n",
|
|
" [2724138],\n",
|
|
" [2723747]]),\n",
|
|
" array([[2931424],\n",
|
|
" [2931384],\n",
|
|
" [2473476],\n",
|
|
" [2472493],\n",
|
|
" [2469771],\n",
|
|
" [2469416],\n",
|
|
" [2430943],\n",
|
|
" [2426620],\n",
|
|
" [2426563],\n",
|
|
" [2412495],\n",
|
|
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|
|
" [2383848],\n",
|
|
" [2383079],\n",
|
|
" [2382829],\n",
|
|
" [2382114],\n",
|
|
" [2380950],\n",
|
|
" [2379219],\n",
|
|
" [2379180],\n",
|
|
" [2379126],\n",
|
|
" [2378988],\n",
|
|
" [2365391],\n",
|
|
" [2305541],\n",
|
|
" [2305423],\n",
|
|
" [2304780],\n",
|
|
" [2304734],\n",
|
|
" [2304604],\n",
|
|
" [2304466],\n",
|
|
" [2304300],\n",
|
|
" [2302059],\n",
|
|
" [2287837],\n",
|
|
" [2287715],\n",
|
|
" [2287584],\n",
|
|
" [2249413],\n",
|
|
" [2249126],\n",
|
|
" [2055611],\n",
|
|
" [2055390],\n",
|
|
" [2052976],\n",
|
|
" [2052915],\n",
|
|
" [2051409],\n",
|
|
" [2051093],\n",
|
|
" [2050746],\n",
|
|
" [2050168]]),\n",
|
|
" array([[2931756],\n",
|
|
" [2924383],\n",
|
|
" [2922164],\n",
|
|
" [2921826],\n",
|
|
" [2919561],\n",
|
|
" [2141637],\n",
|
|
" [2128898],\n",
|
|
" [2121526],\n",
|
|
" [2120956],\n",
|
|
" [2120863],\n",
|
|
" [2120842],\n",
|
|
" [2120691],\n",
|
|
" [2120622],\n",
|
|
" [2120316],\n",
|
|
" [2119966],\n",
|
|
" [2119229],\n",
|
|
" [1843821],\n",
|
|
" [1843742],\n",
|
|
" [1842743],\n",
|
|
" [1842495],\n",
|
|
" [1842444],\n",
|
|
" [1842268],\n",
|
|
" [1842255],\n",
|
|
" [1842239],\n",
|
|
" [1841002],\n",
|
|
" [1840407],\n",
|
|
" [1753837],\n",
|
|
" [1753313],\n",
|
|
" [1748824],\n",
|
|
" [1747353],\n",
|
|
" [1732830],\n",
|
|
" [1732818],\n",
|
|
" [1729678],\n",
|
|
" [1729242],\n",
|
|
" [1725076],\n",
|
|
" [1716427],\n",
|
|
" [1685379]]),\n",
|
|
" array([[2931108],\n",
|
|
" [2931017],\n",
|
|
" [2930628],\n",
|
|
" [2930262],\n",
|
|
" [2818522],\n",
|
|
" [2818461],\n",
|
|
" [2817028],\n",
|
|
" [2813879],\n",
|
|
" [2687856],\n",
|
|
" [2687827],\n",
|
|
" [2567171],\n",
|
|
" [2566690],\n",
|
|
" [2566571],\n",
|
|
" [2559262],\n",
|
|
" [2552545],\n",
|
|
" [2468851],\n",
|
|
" [2468562],\n",
|
|
" [2433608],\n",
|
|
" [2433234],\n",
|
|
" [2363573],\n",
|
|
" [2363551],\n",
|
|
" [2359634],\n",
|
|
" [2359595],\n",
|
|
" [2359283],\n",
|
|
" [2358597],\n",
|
|
" [2357704],\n",
|
|
" [2357687],\n",
|
|
" [2357484],\n",
|
|
" [2357138],\n",
|
|
" [2352357],\n",
|
|
" [2351191],\n",
|
|
" [2351146],\n",
|
|
" [2350750],\n",
|
|
" [2347782],\n",
|
|
" [2347754],\n",
|
|
" [2347739],\n",
|
|
" [2347094],\n",
|
|
" [2347017],\n",
|
|
" [2346565],\n",
|
|
" [2344989],\n",
|
|
" [2282168],\n",
|
|
" [2281959],\n",
|
|
" [2281112],\n",
|
|
" [2280910],\n",
|
|
" [2271935],\n",
|
|
" [2266550],\n",
|
|
" [2265398],\n",
|
|
" [2264324],\n",
|
|
" [2262864],\n",
|
|
" [2262766],\n",
|
|
" [2251499],\n",
|
|
" [2250543],\n",
|
|
" [2250529],\n",
|
|
" [2250105],\n",
|
|
" [2235268],\n",
|
|
" [2235221],\n",
|
|
" [2226168],\n",
|
|
" [2191492],\n",
|
|
" [2191427],\n",
|
|
" [2191292],\n",
|
|
" [2191176],\n",
|
|
" [2190991],\n",
|
|
" [2188523],\n",
|
|
" [2188277],\n",
|
|
" [1861985],\n",
|
|
" [1860824],\n",
|
|
" [1860073],\n",
|
|
" [1859463]]),\n",
|
|
" array([[2922991],\n",
|
|
" [2916159],\n",
|
|
" [2915072],\n",
|
|
" [2897049],\n",
|
|
" [2757600],\n",
|
|
" [2753755],\n",
|
|
" [2753723],\n",
|
|
" [2753700],\n",
|
|
" [2753669],\n",
|
|
" [2752624],\n",
|
|
" [2752610],\n",
|
|
" [2742236],\n",
|
|
" [2742217],\n",
|
|
" [2741533],\n",
|
|
" [2741335],\n",
|
|
" [2735733],\n",
|
|
" [2668157],\n",
|
|
" [2667803],\n",
|
|
" [2666103],\n",
|
|
" [2644442],\n",
|
|
" [2634217],\n",
|
|
" [2633781],\n",
|
|
" [2632241],\n",
|
|
" [2632229],\n",
|
|
" [2606112],\n",
|
|
" [2591610],\n",
|
|
" [2591594],\n",
|
|
" [2574889],\n",
|
|
" [2572480],\n",
|
|
" [2565135],\n",
|
|
" [2554973],\n",
|
|
" [2550809],\n",
|
|
" [2543952],\n",
|
|
" [2543866],\n",
|
|
" [2541076],\n",
|
|
" [2537813],\n",
|
|
" [2525076],\n",
|
|
" [2523469],\n",
|
|
" [2520816]]),\n",
|
|
" array([[2924666]]),\n",
|
|
" array([[2931872],\n",
|
|
" [2931856],\n",
|
|
" [2918919],\n",
|
|
" [2915639],\n",
|
|
" [2915135],\n",
|
|
" [2915091],\n",
|
|
" [2914537],\n",
|
|
" [2914473],\n",
|
|
" [2913801],\n",
|
|
" [2913537],\n",
|
|
" [2913270],\n",
|
|
" [2912786],\n",
|
|
" [2893604]]),\n",
|
|
" array([[2912951],\n",
|
|
" [2909732],\n",
|
|
" [2909248],\n",
|
|
" [2697374],\n",
|
|
" [2681519],\n",
|
|
" [2677247],\n",
|
|
" [2677127]]),\n",
|
|
" array([[2929596],\n",
|
|
" [2777298],\n",
|
|
" [2771744],\n",
|
|
" [2771642],\n",
|
|
" [2771631],\n",
|
|
" [2765820],\n",
|
|
" [2475164],\n",
|
|
" [2475117],\n",
|
|
" [2475055],\n",
|
|
" [2475003],\n",
|
|
" [2473990],\n",
|
|
" [2472775],\n",
|
|
" [2472741],\n",
|
|
" [2449151],\n",
|
|
" [2448879],\n",
|
|
" [2222524],\n",
|
|
" [2222056],\n",
|
|
" [2221989],\n",
|
|
" [2221977],\n",
|
|
" [2218567],\n",
|
|
" [2218550],\n",
|
|
" [2218520],\n",
|
|
" [2218484],\n",
|
|
" [2218069],\n",
|
|
" [2123482],\n",
|
|
" [2113589],\n",
|
|
" [2113347],\n",
|
|
" [1940269],\n",
|
|
" [1936722],\n",
|
|
" [1497250],\n",
|
|
" [1496764],\n",
|
|
" [1496611],\n",
|
|
" [1490777]]),\n",
|
|
" array([[2931424],\n",
|
|
" [2878163],\n",
|
|
" [2872927],\n",
|
|
" [2872794],\n",
|
|
" [2737145],\n",
|
|
" [2737123],\n",
|
|
" [2737012],\n",
|
|
" [2735685],\n",
|
|
" [2735601],\n",
|
|
" [2735022],\n",
|
|
" [2734590],\n",
|
|
" [2701200],\n",
|
|
" [2701189],\n",
|
|
" [2697684],\n",
|
|
" [2692969],\n",
|
|
" [2692932],\n",
|
|
" [2692829],\n",
|
|
" [2661306],\n",
|
|
" [2661003],\n",
|
|
" [2660966],\n",
|
|
" [2637402],\n",
|
|
" [2540829],\n",
|
|
" [2491796],\n",
|
|
" [2490348],\n",
|
|
" [2474162],\n",
|
|
" [2458582],\n",
|
|
" [2445699],\n",
|
|
" [2445657],\n",
|
|
" [2444727],\n",
|
|
" [2442114],\n",
|
|
" [2442023],\n",
|
|
" [2441417],\n",
|
|
" [2439654],\n",
|
|
" [2439639],\n",
|
|
" [2437699],\n",
|
|
" [2437476],\n",
|
|
" [1952816],\n",
|
|
" [1952755],\n",
|
|
" [1952071],\n",
|
|
" [1951850],\n",
|
|
" [1905039],\n",
|
|
" [1905016],\n",
|
|
" [1903921]]),\n",
|
|
" array([[2922991],\n",
|
|
" [2922858],\n",
|
|
" [2922400],\n",
|
|
" [2922264],\n",
|
|
" [2922210],\n",
|
|
" [2827087],\n",
|
|
" [2826881]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2931813],\n",
|
|
" [2931786],\n",
|
|
" [2930470],\n",
|
|
" [2929372],\n",
|
|
" [2929176],\n",
|
|
" [2928584],\n",
|
|
" [2928451],\n",
|
|
" [2928372],\n",
|
|
" [2922437],\n",
|
|
" [2922420],\n",
|
|
" [2922188],\n",
|
|
" [2917684],\n",
|
|
" [2896182]]),\n",
|
|
" array([[2922991],\n",
|
|
" [2922880],\n",
|
|
" [2919592],\n",
|
|
" [2917735],\n",
|
|
" [2800124],\n",
|
|
" [2799490]]),\n",
|
|
" array([[2931341],\n",
|
|
" [2929108],\n",
|
|
" [2928694],\n",
|
|
" [2875155],\n",
|
|
" [2875117],\n",
|
|
" [2874787],\n",
|
|
" [2874247],\n",
|
|
" [2873401],\n",
|
|
" [2870970],\n",
|
|
" [2870206]]),\n",
|
|
" array([[2927118],\n",
|
|
" [2926967],\n",
|
|
" [2926829],\n",
|
|
" [2926755]]),\n",
|
|
" array([[2930494],\n",
|
|
" [2930463],\n",
|
|
" [2645408],\n",
|
|
" [2644973],\n",
|
|
" [2639841],\n",
|
|
" [2638235]]),\n",
|
|
" array([[2892582],\n",
|
|
" [2891400],\n",
|
|
" [2890444],\n",
|
|
" [2890367]]),\n",
|
|
" array([[2892582],\n",
|
|
" [2891314],\n",
|
|
" [2890490],\n",
|
|
" [2890286],\n",
|
|
" [2889882],\n",
|
|
" [2889541],\n",
|
|
" [2885452],\n",
|
|
" [2515297],\n",
|
|
" [2500719],\n",
|
|
" [2500639],\n",
|
|
" [2497830],\n",
|
|
" [2494576],\n",
|
|
" [2493848],\n",
|
|
" [2218161],\n",
|
|
" [2217131],\n",
|
|
" [2215630],\n",
|
|
" [2178223],\n",
|
|
" [2177479],\n",
|
|
" [2176678],\n",
|
|
" [2142272],\n",
|
|
" [2142258],\n",
|
|
" [2083589],\n",
|
|
" [2083323],\n",
|
|
" [1909520]]),\n",
|
|
" array([[2892582],\n",
|
|
" [2892569],\n",
|
|
" [2892540],\n",
|
|
" [2765574],\n",
|
|
" [2765478],\n",
|
|
" [2763931],\n",
|
|
" [2763747],\n",
|
|
" [2763375],\n",
|
|
" [2763363],\n",
|
|
" [2761431],\n",
|
|
" [2761303]]),\n",
|
|
" array([[2931658],\n",
|
|
" [2931130],\n",
|
|
" [2930928],\n",
|
|
" [2930871],\n",
|
|
" [2930787],\n",
|
|
" [2922373],\n",
|
|
" [2921748],\n",
|
|
" [2921736],\n",
|
|
" [2921532],\n",
|
|
" [2921327],\n",
|
|
" [2778737],\n",
|
|
" [2778655],\n",
|
|
" [2778116],\n",
|
|
" [2751220]]),\n",
|
|
" array([[2899800],\n",
|
|
" [2898919],\n",
|
|
" [2898875],\n",
|
|
" [2898848],\n",
|
|
" [2892427],\n",
|
|
" [2891883],\n",
|
|
" [2889759]]),\n",
|
|
" array([[2931869],\n",
|
|
" [2788269],\n",
|
|
" [2786967],\n",
|
|
" [2786894],\n",
|
|
" [2786309],\n",
|
|
" [2785575]]),\n",
|
|
" array([[2931824],\n",
|
|
" [2931683],\n",
|
|
" [2927700],\n",
|
|
" [2926817],\n",
|
|
" [2923218],\n",
|
|
" [2922982],\n",
|
|
" [2922560],\n",
|
|
" [2920424],\n",
|
|
" [2918881],\n",
|
|
" [2917902],\n",
|
|
" [2904985],\n",
|
|
" [2904526],\n",
|
|
" [2904457],\n",
|
|
" [2880367]]),\n",
|
|
" array([[2899800],\n",
|
|
" [2899038],\n",
|
|
" [2895658],\n",
|
|
" [2894788],\n",
|
|
" [2893398],\n",
|
|
" [2893279],\n",
|
|
" [2891165],\n",
|
|
" [2891013],\n",
|
|
" [2801535]]),\n",
|
|
" array([[2931824],\n",
|
|
" [2927003],\n",
|
|
" [2924652],\n",
|
|
" [2924605],\n",
|
|
" [2902667],\n",
|
|
" [2896345],\n",
|
|
" [2892822],\n",
|
|
" [2891728],\n",
|
|
" [2890979]]),\n",
|
|
" array([[2930834],\n",
|
|
" [2930769]]),\n",
|
|
" array([[2930494],\n",
|
|
" [2926867],\n",
|
|
" [2926484],\n",
|
|
" [2926456],\n",
|
|
" [2926328],\n",
|
|
" [2925657],\n",
|
|
" [2669452],\n",
|
|
" [2669431],\n",
|
|
" [2668802],\n",
|
|
" [2668088],\n",
|
|
" [2668036],\n",
|
|
" [2657448],\n",
|
|
" [2637227],\n",
|
|
" [2559167],\n",
|
|
" [1367564]]),\n",
|
|
" array([[2930834],\n",
|
|
" [2929326],\n",
|
|
" [2929309],\n",
|
|
" [2924437],\n",
|
|
" [2923814],\n",
|
|
" [2923564],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2019986],\n",
|
|
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|
|
" [2018240],\n",
|
|
" [1977077],\n",
|
|
" [1874746],\n",
|
|
" [1874563],\n",
|
|
" [1867617],\n",
|
|
" [1867058],\n",
|
|
" [1766035]]),\n",
|
|
" array([[2931824],\n",
|
|
" [2931683],\n",
|
|
" [2931433],\n",
|
|
" [2931421],\n",
|
|
" [2930700]]),\n",
|
|
" array([[2931912],\n",
|
|
" [2931429],\n",
|
|
" [2931356],\n",
|
|
" [2931307],\n",
|
|
" [2931296],\n",
|
|
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|
|
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|
|
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|
|
" [2880766],\n",
|
|
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|
|
" [2858867],\n",
|
|
" [2669575],\n",
|
|
" [2669513]]),\n",
|
|
" array([[2931869],\n",
|
|
" [2728396],\n",
|
|
" [2728375],\n",
|
|
" [2727546],\n",
|
|
" [2727241],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2711898],\n",
|
|
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|
|
" [2679214],\n",
|
|
" [2679138],\n",
|
|
" [2667955],\n",
|
|
" [2623111],\n",
|
|
" [2623066],\n",
|
|
" [2621560],\n",
|
|
" [2621544],\n",
|
|
" [2620992],\n",
|
|
" [2611158],\n",
|
|
" [2458013],\n",
|
|
" [2450883],\n",
|
|
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|
|
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|
|
" [2446372],\n",
|
|
" [2317435],\n",
|
|
" [2316724],\n",
|
|
" [2312850],\n",
|
|
" [2297045],\n",
|
|
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|
|
" [2295819],\n",
|
|
" [2295217],\n",
|
|
" [2293267],\n",
|
|
" [2293214],\n",
|
|
" [2293077],\n",
|
|
" [2288226],\n",
|
|
" [2286053],\n",
|
|
" [2285362],\n",
|
|
" [2284763],\n",
|
|
" [2284543],\n",
|
|
" [2076503],\n",
|
|
" [2075064],\n",
|
|
" [2074840],\n",
|
|
" [2074190],\n",
|
|
" [2073586],\n",
|
|
" [2073518],\n",
|
|
" [2073302],\n",
|
|
" [2007460],\n",
|
|
" [2007346],\n",
|
|
" [2007244],\n",
|
|
" [1976285],\n",
|
|
" [1957701]]),\n",
|
|
" array([[2931912],\n",
|
|
" [2841923],\n",
|
|
" [2841520],\n",
|
|
" [2839999],\n",
|
|
" [2714501],\n",
|
|
" [2609937],\n",
|
|
" [2609806],\n",
|
|
" [2607743],\n",
|
|
" [2606379],\n",
|
|
" [2605700],\n",
|
|
" [2604070],\n",
|
|
" [2602629],\n",
|
|
" [2601980]]),\n",
|
|
" array([[2927118],\n",
|
|
" [2896800],\n",
|
|
" [2896769],\n",
|
|
" [2896562],\n",
|
|
" [2896523],\n",
|
|
" [2889002],\n",
|
|
" [2888925]]),\n",
|
|
" array([[2899800],\n",
|
|
" [2898919],\n",
|
|
" [2898886],\n",
|
|
" [2887755],\n",
|
|
" [2887662],\n",
|
|
" [2862534],\n",
|
|
" [2862520],\n",
|
|
" [2861993],\n",
|
|
" [2861881],\n",
|
|
" [2846068],\n",
|
|
" [2845866],\n",
|
|
" [2845567],\n",
|
|
" [2845254],\n",
|
|
" [2844650],\n",
|
|
" [2832660],\n",
|
|
" [2808422],\n",
|
|
" [2808318],\n",
|
|
" [2711087],\n",
|
|
" [2710704],\n",
|
|
" [2710684],\n",
|
|
" [2710011],\n",
|
|
" [2709209],\n",
|
|
" [2693521]]),\n",
|
|
" array([[2927118],\n",
|
|
" [2925321],\n",
|
|
" [2905374],\n",
|
|
" [2901452],\n",
|
|
" [2900742],\n",
|
|
" [2899032],\n",
|
|
" [2899010],\n",
|
|
" [2898928],\n",
|
|
" [2898835],\n",
|
|
" [2536633],\n",
|
|
" [2536622],\n",
|
|
" [2532337],\n",
|
|
" [2526064],\n",
|
|
" [2510769],\n",
|
|
" [2507991]]),\n",
|
|
" array([[2931824],\n",
|
|
" [2929640],\n",
|
|
" [2924584],\n",
|
|
" [2825757]]),\n",
|
|
" array([[2930571],\n",
|
|
" [2926727],\n",
|
|
" [2921617],\n",
|
|
" [2921439],\n",
|
|
" [2921277],\n",
|
|
" [2921007],\n",
|
|
" [2920378],\n",
|
|
" [2919432],\n",
|
|
" [2918378],\n",
|
|
" [2915969],\n",
|
|
" [2915959],\n",
|
|
" [2892159]]),\n",
|
|
" array([[2931824],\n",
|
|
" [2931683],\n",
|
|
" [2929610],\n",
|
|
" [2929258],\n",
|
|
" [2925948],\n",
|
|
" [2925523],\n",
|
|
" [2924280],\n",
|
|
" [2923226],\n",
|
|
" [2923157],\n",
|
|
" [2916300],\n",
|
|
" [2913979],\n",
|
|
" [2913962],\n",
|
|
" [2913817],\n",
|
|
" [2912898],\n",
|
|
" [2912792],\n",
|
|
" [2906698],\n",
|
|
" [2904301],\n",
|
|
" [2771328],\n",
|
|
" [2742951],\n",
|
|
" [2742329],\n",
|
|
" [2742270],\n",
|
|
" [2742246],\n",
|
|
" [2741523],\n",
|
|
" [2734959],\n",
|
|
" [2702739],\n",
|
|
" [2702615],\n",
|
|
" [2698586],\n",
|
|
" [2683441],\n",
|
|
" [2683182],\n",
|
|
" [2682448],\n",
|
|
" [2682383]]),\n",
|
|
" array([[2924521],\n",
|
|
" [2924496],\n",
|
|
" [2924410],\n",
|
|
" [2924120],\n",
|
|
" [2923981],\n",
|
|
" [2923845],\n",
|
|
" [2923340],\n",
|
|
" [2923115],\n",
|
|
" [2922326],\n",
|
|
" [2922271],\n",
|
|
" [2921738],\n",
|
|
" [2921078],\n",
|
|
" [2917945]]),\n",
|
|
" array([[2930834],\n",
|
|
" [2926227],\n",
|
|
" [2926165],\n",
|
|
" [2925967],\n",
|
|
" [2925528],\n",
|
|
" [2925304],\n",
|
|
" [2924860],\n",
|
|
" [2924045],\n",
|
|
" [2923973],\n",
|
|
" [2890920],\n",
|
|
" [2888113],\n",
|
|
" [2887972],\n",
|
|
" [2887915],\n",
|
|
" [2887829],\n",
|
|
" [2886655],\n",
|
|
" [2885847],\n",
|
|
" [2885677]]),\n",
|
|
" array([[2931658],\n",
|
|
" [2931130],\n",
|
|
" [2760843]]),\n",
|
|
" array([[2930571],\n",
|
|
" [2929288],\n",
|
|
" [2929001],\n",
|
|
" [2927122],\n",
|
|
" [2922682],\n",
|
|
" [2915692]]),\n",
|
|
" array([[2892582],\n",
|
|
" [2891836],\n",
|
|
" [2891762],\n",
|
|
" [2891505],\n",
|
|
" [2891026],\n",
|
|
" [2890445],\n",
|
|
" [2890425],\n",
|
|
" [2732365],\n",
|
|
" [2728675],\n",
|
|
" [2728014]]),\n",
|
|
" array([[2930736],\n",
|
|
" [2930705],\n",
|
|
" [2930103]]),\n",
|
|
" array([[2904279]]),\n",
|
|
" array([[2902123],\n",
|
|
" [2902088],\n",
|
|
" [2901995],\n",
|
|
" [2901934],\n",
|
|
" [2901912],\n",
|
|
" [2891464],\n",
|
|
" [2891438],\n",
|
|
" [2884876],\n",
|
|
" [2884768],\n",
|
|
" [2884190],\n",
|
|
" [2883479],\n",
|
|
" [2870337],\n",
|
|
" [2867050],\n",
|
|
" [2867038],\n",
|
|
" [2866716],\n",
|
|
" [2866689],\n",
|
|
" [2857530],\n",
|
|
" [2857246],\n",
|
|
" [2828124],\n",
|
|
" [2827961]]),\n",
|
|
" array([[2899846],\n",
|
|
" [2897741],\n",
|
|
" [2888858],\n",
|
|
" [2888693],\n",
|
|
" [2885832],\n",
|
|
" [2885753],\n",
|
|
" [2646035],\n",
|
|
" [2580733],\n",
|
|
" [2566586],\n",
|
|
" [2566072],\n",
|
|
" [2562044],\n",
|
|
" [2544282]]),\n",
|
|
" array([[2929181],\n",
|
|
" [2929073],\n",
|
|
" [2928967],\n",
|
|
" [2926880],\n",
|
|
" [2922918],\n",
|
|
" [2921490],\n",
|
|
" [2921085],\n",
|
|
" [2921059],\n",
|
|
" [2879205],\n",
|
|
" [2879103],\n",
|
|
" [2877009],\n",
|
|
" [2875889],\n",
|
|
" [2875782],\n",
|
|
" [2875375],\n",
|
|
" [2875223],\n",
|
|
" [2873494],\n",
|
|
" [2821830],\n",
|
|
" [2815705],\n",
|
|
" [2813468]]),\n",
|
|
" array([[2136640],\n",
|
|
" [2136453],\n",
|
|
" [2123578],\n",
|
|
" [2120975],\n",
|
|
" [2077355],\n",
|
|
" [2071071],\n",
|
|
" [2038098],\n",
|
|
" [2037314],\n",
|
|
" [2031996],\n",
|
|
" [2031977],\n",
|
|
" [2031894],\n",
|
|
" [2020799],\n",
|
|
" [1647031],\n",
|
|
" [1639043],\n",
|
|
" [1638326],\n",
|
|
" [1607057],\n",
|
|
" [1481875],\n",
|
|
" [1461493],\n",
|
|
" [1460407],\n",
|
|
" [1459611],\n",
|
|
" [1459564],\n",
|
|
" [1323072],\n",
|
|
" [1322397],\n",
|
|
" [1318090],\n",
|
|
" [1303704],\n",
|
|
" [1303057],\n",
|
|
" [1260203],\n",
|
|
" [1251205],\n",
|
|
" [1226504],\n",
|
|
" [1223843],\n",
|
|
" [1221846],\n",
|
|
" [1221710],\n",
|
|
" [1220881],\n",
|
|
" [1220681],\n",
|
|
" [1220629],\n",
|
|
" [1193061],\n",
|
|
" [ 402650],\n",
|
|
" [ 402171]]),\n",
|
|
" array([[2902123],\n",
|
|
" [2901904],\n",
|
|
" [2901207],\n",
|
|
" [2900262],\n",
|
|
" [2890436],\n",
|
|
" [2890381],\n",
|
|
" [2890366],\n",
|
|
" [2890274],\n",
|
|
" [2889709],\n",
|
|
" [2867630]]),\n",
|
|
" array([[2929181],\n",
|
|
" [2928773],\n",
|
|
" [2927329],\n",
|
|
" [2916157],\n",
|
|
" [2905688],\n",
|
|
" [2899533],\n",
|
|
" [2897564],\n",
|
|
" [2897541],\n",
|
|
" [2889736],\n",
|
|
" [2889709],\n",
|
|
" [2888305],\n",
|
|
" [2783354],\n",
|
|
" [2783199],\n",
|
|
" [2779236],\n",
|
|
" [2758739]]),\n",
|
|
" array([[2136640],\n",
|
|
" [2136274],\n",
|
|
" [2134118],\n",
|
|
" [2042397],\n",
|
|
" [2042047],\n",
|
|
" [1981903],\n",
|
|
" [1977931],\n",
|
|
" [1970491],\n",
|
|
" [1970340]]),\n",
|
|
" array([[2904279]]),\n",
|
|
" array([[2902123],\n",
|
|
" [2902088],\n",
|
|
" [2902047],\n",
|
|
" [2902032],\n",
|
|
" [2900175],\n",
|
|
" [2763493],\n",
|
|
" [2763022],\n",
|
|
" [2759938],\n",
|
|
" [2759099]]),\n",
|
|
" array([[2931219],\n",
|
|
" [2930905],\n",
|
|
" [2914304],\n",
|
|
" [2913716],\n",
|
|
" [2913670],\n",
|
|
" [2911731],\n",
|
|
" [2904338],\n",
|
|
" [2904326],\n",
|
|
" [2796922],\n",
|
|
" [2796454]]),\n",
|
|
" array([[2931879],\n",
|
|
" [2929550],\n",
|
|
" [2928989]]),\n",
|
|
" array([[2580174],\n",
|
|
" [2569565],\n",
|
|
" [2569549],\n",
|
|
" [2558457],\n",
|
|
" [2556799],\n",
|
|
" [2556598],\n",
|
|
" [2551166]]),\n",
|
|
" array([[2904279]]),\n",
|
|
" array([[2930521],\n",
|
|
" [2911636],\n",
|
|
" [2911557],\n",
|
|
" [2911379],\n",
|
|
" [2133112],\n",
|
|
" [2133052],\n",
|
|
" [2132909],\n",
|
|
" [2132888],\n",
|
|
" [2132855],\n",
|
|
" [2130532],\n",
|
|
" [2125326],\n",
|
|
" [2123983],\n",
|
|
" [2123851],\n",
|
|
" [2123839],\n",
|
|
" [2122935],\n",
|
|
" [2122864],\n",
|
|
" [2122267],\n",
|
|
" [2121874],\n",
|
|
" [2121798],\n",
|
|
" [2117986],\n",
|
|
" [2116548],\n",
|
|
" [2116192],\n",
|
|
" [2115985],\n",
|
|
" [2115973],\n",
|
|
" [2107132],\n",
|
|
" [2107118],\n",
|
|
" [2107035],\n",
|
|
" [2106617],\n",
|
|
" [2105380],\n",
|
|
" [2104011],\n",
|
|
" [1917277],\n",
|
|
" [1916263],\n",
|
|
" [1915986],\n",
|
|
" [1915840],\n",
|
|
" [1914643]]),\n",
|
|
" array([[2136640],\n",
|
|
" [2136585],\n",
|
|
" [2136514],\n",
|
|
" [2090871],\n",
|
|
" [2089947],\n",
|
|
" [2088640],\n",
|
|
" [1845428],\n",
|
|
" [1845416],\n",
|
|
" [1835667],\n",
|
|
" [1835561],\n",
|
|
" [1835163],\n",
|
|
" [1834697],\n",
|
|
" [1755909],\n",
|
|
" [1752729]]),\n",
|
|
" array([[2931886],\n",
|
|
" [2931356],\n",
|
|
" [2931210],\n",
|
|
" [2928441],\n",
|
|
" [2926199],\n",
|
|
" [2923314],\n",
|
|
" [2923243]]),\n",
|
|
" array([[2136640],\n",
|
|
" [2136585],\n",
|
|
" [2136514],\n",
|
|
" [2136446],\n",
|
|
" [2136200],\n",
|
|
" [2102706],\n",
|
|
" [2102600],\n",
|
|
" [2102042],\n",
|
|
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|
|
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|
|
" [2078803],\n",
|
|
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|
|
" [2077993],\n",
|
|
" [2077694],\n",
|
|
" [2076777],\n",
|
|
" [2075503]]),\n",
|
|
" array([[2930521],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1991878],\n",
|
|
" [1991668],\n",
|
|
" [1990145],\n",
|
|
" [1990083]]),\n",
|
|
" array([[2931407],\n",
|
|
" [2929119],\n",
|
|
" [2928704],\n",
|
|
" [2923865],\n",
|
|
" [2879987],\n",
|
|
" [2876761],\n",
|
|
" [2876275]]),\n",
|
|
" array([[2902123],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2851861],\n",
|
|
" [2798671],\n",
|
|
" [2797216]]),\n",
|
|
" array([[2930897],\n",
|
|
" [2930010],\n",
|
|
" [2929928],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2911556],\n",
|
|
" [2910954],\n",
|
|
" [2755322]]),\n",
|
|
" array([[2580174],\n",
|
|
" [2579295],\n",
|
|
" [2579193],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2219597],\n",
|
|
" [2219275],\n",
|
|
" [2174759]]),\n",
|
|
" array([[2931886],\n",
|
|
" [2929691],\n",
|
|
" [2928081],\n",
|
|
" [2926217],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1750455],\n",
|
|
" [1747987],\n",
|
|
" [1735530]]),\n",
|
|
" array([[2929646],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1702520],\n",
|
|
" [1684520],\n",
|
|
" [1653846],\n",
|
|
" [1653073],\n",
|
|
" [1278193]]),\n",
|
|
" array([[2930897],\n",
|
|
" [2930160],\n",
|
|
" [2928709],\n",
|
|
" [2928380],\n",
|
|
" [2926554],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2886547],\n",
|
|
" [2886454],\n",
|
|
" [2886175],\n",
|
|
" [2722333],\n",
|
|
" [2721560]]),\n",
|
|
" array([[2929181],\n",
|
|
" [2928362],\n",
|
|
" [2928325],\n",
|
|
" [2923310],\n",
|
|
" [2917275],\n",
|
|
" [2915331],\n",
|
|
" [2889563],\n",
|
|
" [2889327],\n",
|
|
" [2888770],\n",
|
|
" [2884381]]),\n",
|
|
" array([[2904279]]),\n",
|
|
" array([[2899846],\n",
|
|
" [2897086],\n",
|
|
" [2895267],\n",
|
|
" [2894097],\n",
|
|
" [2892079],\n",
|
|
" [2850806],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2761176],\n",
|
|
" [2726874],\n",
|
|
" [2555199],\n",
|
|
" [2554907],\n",
|
|
" [2554884],\n",
|
|
" [2554416]]),\n",
|
|
" array([[2931762],\n",
|
|
" [2929307],\n",
|
|
" [2929058],\n",
|
|
" [2929037],\n",
|
|
" [2929018],\n",
|
|
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|
|
" [2708138],\n",
|
|
" [2694069],\n",
|
|
" [2693702],\n",
|
|
" [2693154],\n",
|
|
" [2693034],\n",
|
|
" [2675770],\n",
|
|
" [2675474]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2931668],\n",
|
|
" [2930027],\n",
|
|
" [2929409],\n",
|
|
" [2926907],\n",
|
|
" [2926103],\n",
|
|
" [2903186],\n",
|
|
" [2903156],\n",
|
|
" [2901614],\n",
|
|
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|
|
" [2901405],\n",
|
|
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|
|
" [2898562],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2851406],\n",
|
|
" [2850726],\n",
|
|
" [2850711],\n",
|
|
" [2848298],\n",
|
|
" [2703992],\n",
|
|
" [2703930],\n",
|
|
" [2703543]]),\n",
|
|
" array([[2739240]]),\n",
|
|
" array([[2931245],\n",
|
|
" [2928841],\n",
|
|
" [2925938],\n",
|
|
" [2924703],\n",
|
|
" [2547461]]),\n",
|
|
" array([[2931871],\n",
|
|
" [2931836],\n",
|
|
" [2931818],\n",
|
|
" [2929243],\n",
|
|
" [2927790],\n",
|
|
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|
|
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|
|
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|
|
" [2865291],\n",
|
|
" [2863943],\n",
|
|
" [2862793],\n",
|
|
" [2861186],\n",
|
|
" [2861121]]),\n",
|
|
" array([[2931793],\n",
|
|
" [2931264],\n",
|
|
" [2920849]]),\n",
|
|
" array([[2739240]]),\n",
|
|
" array([[2931730],\n",
|
|
" [2929544],\n",
|
|
" [2928545],\n",
|
|
" [2927223],\n",
|
|
" [2912913],\n",
|
|
" [2912440],\n",
|
|
" [1569849],\n",
|
|
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|
|
" [1491354],\n",
|
|
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|
|
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|
|
" [1490466],\n",
|
|
" [1382366],\n",
|
|
" [1382236],\n",
|
|
" [1358986],\n",
|
|
" [1282100]]),\n",
|
|
" array([[2931755],\n",
|
|
" [2929587],\n",
|
|
" [2929550],\n",
|
|
" [2888922],\n",
|
|
" [2878953],\n",
|
|
" [2832890],\n",
|
|
" [2831273],\n",
|
|
" [2831165],\n",
|
|
" [2831140],\n",
|
|
" [2830924],\n",
|
|
" [2809435],\n",
|
|
" [2809137],\n",
|
|
" [2808972]]),\n",
|
|
" array([[2931245],\n",
|
|
" [2927944],\n",
|
|
" [2924361],\n",
|
|
" [2924082],\n",
|
|
" [2924070],\n",
|
|
" [2922244],\n",
|
|
" [2920166],\n",
|
|
" [2918238],\n",
|
|
" [2914934],\n",
|
|
" [2914180],\n",
|
|
" [2913031],\n",
|
|
" [2901028],\n",
|
|
" [2900955],\n",
|
|
" [2900857],\n",
|
|
" [2859839],\n",
|
|
" [2859572],\n",
|
|
" [2859448],\n",
|
|
" [2778087],\n",
|
|
" [2777546],\n",
|
|
" [2777485],\n",
|
|
" [2563170],\n",
|
|
" [2559329],\n",
|
|
" [2559270],\n",
|
|
" [2558194],\n",
|
|
" [2547929],\n",
|
|
" [2547655],\n",
|
|
" [2546564],\n",
|
|
" [2546091],\n",
|
|
" [2545172],\n",
|
|
" [2543059],\n",
|
|
" [2542929],\n",
|
|
" [2524216],\n",
|
|
" [2522887],\n",
|
|
" [2522036],\n",
|
|
" [2522026],\n",
|
|
" [2521394],\n",
|
|
" [2521208],\n",
|
|
" [2520619],\n",
|
|
" [2518485]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2931600],\n",
|
|
" [2808279],\n",
|
|
" [2803487],\n",
|
|
" [2802225],\n",
|
|
" [2793221],\n",
|
|
" [2771887],\n",
|
|
" [2770897],\n",
|
|
" [2770727],\n",
|
|
" [2681804],\n",
|
|
" [2680196],\n",
|
|
" [2648249],\n",
|
|
" [2645792],\n",
|
|
" [2613741],\n",
|
|
" [2592082],\n",
|
|
" [2589567],\n",
|
|
" [2587479],\n",
|
|
" [2416709],\n",
|
|
" [2416692],\n",
|
|
" [2416591],\n",
|
|
" [2393625],\n",
|
|
" [2260692],\n",
|
|
" [2259648],\n",
|
|
" [2258579],\n",
|
|
" [2258523],\n",
|
|
" [2258414],\n",
|
|
" [2258398],\n",
|
|
" [2257913],\n",
|
|
" [2257755],\n",
|
|
" [2254828],\n",
|
|
" [2248216],\n",
|
|
" [2241699],\n",
|
|
" [2232554],\n",
|
|
" [2103546],\n",
|
|
" [2103443],\n",
|
|
" [2103432],\n",
|
|
" [2093731],\n",
|
|
" [2093587],\n",
|
|
" [2093452],\n",
|
|
" [2093018],\n",
|
|
" [2086834],\n",
|
|
" [2082268],\n",
|
|
" [2077523],\n",
|
|
" [2070337],\n",
|
|
" [2060417],\n",
|
|
" [2055113],\n",
|
|
" [2042485],\n",
|
|
" [1953154],\n",
|
|
" [1931222],\n",
|
|
" [1930988],\n",
|
|
" [1930873],\n",
|
|
" [1928912]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2905908],\n",
|
|
" [2900070],\n",
|
|
" [2900055],\n",
|
|
" [2886633],\n",
|
|
" [2886612],\n",
|
|
" [2885808],\n",
|
|
" [2880443],\n",
|
|
" [2880305],\n",
|
|
" [2849487],\n",
|
|
" [2803460]]),\n",
|
|
" array([[2927008],\n",
|
|
" [2926996],\n",
|
|
" [2735669],\n",
|
|
" [2735549],\n",
|
|
" [2725222],\n",
|
|
" [2724893],\n",
|
|
" [2722685],\n",
|
|
" [2722298]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2929152],\n",
|
|
" [2925308],\n",
|
|
" [2925221]]),\n",
|
|
" array([[2929056],\n",
|
|
" [2928488],\n",
|
|
" [2928461],\n",
|
|
" [2927685],\n",
|
|
" [2927467],\n",
|
|
" [2927448],\n",
|
|
" [2902147]]),\n",
|
|
" array([[2931552],\n",
|
|
" [2931532],\n",
|
|
" [2930923],\n",
|
|
" [2930531],\n",
|
|
" [2907716],\n",
|
|
" [2907094],\n",
|
|
" [2902953],\n",
|
|
" [2902930],\n",
|
|
" [2902479],\n",
|
|
" [2899807],\n",
|
|
" [2899776],\n",
|
|
" [2895871],\n",
|
|
" [2857823],\n",
|
|
" [2855748],\n",
|
|
" [2854073],\n",
|
|
" [2735890],\n",
|
|
" [2707471],\n",
|
|
" [2707199]]),\n",
|
|
" array([[2931597],\n",
|
|
" [2931501],\n",
|
|
" [2776978],\n",
|
|
" [2619069],\n",
|
|
" [2619054],\n",
|
|
" [2617857],\n",
|
|
" [2617782],\n",
|
|
" [2617768],\n",
|
|
" [2614713],\n",
|
|
" [2606730],\n",
|
|
" [2594736],\n",
|
|
" [2594454],\n",
|
|
" [2593785],\n",
|
|
" [2591794]]),\n",
|
|
" array([[2931245],\n",
|
|
" [2930887],\n",
|
|
" [2930644],\n",
|
|
" [2930556],\n",
|
|
" [2895132],\n",
|
|
" [2894216],\n",
|
|
" [2894124],\n",
|
|
" [2881384],\n",
|
|
" [2881272],\n",
|
|
" [2880368],\n",
|
|
" [2852774],\n",
|
|
" [2841390],\n",
|
|
" [2832970],\n",
|
|
" [2815655],\n",
|
|
" [2813939],\n",
|
|
" [2611824],\n",
|
|
" [2611772],\n",
|
|
" [2611157]]),\n",
|
|
" array([[2931755],\n",
|
|
" [2931490],\n",
|
|
" [2931302],\n",
|
|
" [2914197],\n",
|
|
" [2888385],\n",
|
|
" [2886936],\n",
|
|
" [2886802],\n",
|
|
" [2886789],\n",
|
|
" [2884035],\n",
|
|
" [2883218]]),\n",
|
|
" array([[2929107],\n",
|
|
" [2927657],\n",
|
|
" [2900144],\n",
|
|
" [2900080],\n",
|
|
" [2899100],\n",
|
|
" [2899035],\n",
|
|
" [2897414],\n",
|
|
" [2833038],\n",
|
|
" [2832974]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2929152],\n",
|
|
" [2928987],\n",
|
|
" [2928684],\n",
|
|
" [2923521],\n",
|
|
" [2922009],\n",
|
|
" [2919672],\n",
|
|
" [2799727]]),\n",
|
|
" array([[2931753],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2870020],\n",
|
|
" [2869922],\n",
|
|
" [2869777]]),\n",
|
|
" array([[2931552],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2748748],\n",
|
|
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|
|
" [2730785]]),\n",
|
|
" array([[2931753],\n",
|
|
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|
|
" [2931041],\n",
|
|
" [2910362],\n",
|
|
" [2910324],\n",
|
|
" [2910260],\n",
|
|
" [2909458]]),\n",
|
|
" array([[2931785],\n",
|
|
" [2905908],\n",
|
|
" [2890057],\n",
|
|
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|
|
" [2856892],\n",
|
|
" [2853834],\n",
|
|
" [2851799]]),\n",
|
|
" array([[2931597],\n",
|
|
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|
|
" [2931471],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2856922],\n",
|
|
" [2856516],\n",
|
|
" [2856182]]),\n",
|
|
" array([[2929567],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1941162],\n",
|
|
" [1941081],\n",
|
|
" [1940959]]),\n",
|
|
" array([[2931245],\n",
|
|
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|
|
" [2930584],\n",
|
|
" [2903166],\n",
|
|
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|
|
" [2883610],\n",
|
|
" [2882679],\n",
|
|
" [2882609]]),\n",
|
|
" array([[2739240]]),\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1965060],\n",
|
|
" [1956447],\n",
|
|
" [1948912]]),\n",
|
|
" array([[2931730],\n",
|
|
" [2930518],\n",
|
|
" [2930353],\n",
|
|
" [2928234],\n",
|
|
" [2927863]]),\n",
|
|
" array([[2931618],\n",
|
|
" [2921595],\n",
|
|
" [2921573],\n",
|
|
" [2921557],\n",
|
|
" [2920950],\n",
|
|
" [2920666]]),\n",
|
|
" array([[2931618],\n",
|
|
" [2930121],\n",
|
|
" [2929892],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2700336],\n",
|
|
" [2697981],\n",
|
|
" [2696762],\n",
|
|
" [2677127]]),\n",
|
|
" array([[2931788],\n",
|
|
" [2930969],\n",
|
|
" [2927358],\n",
|
|
" [2919995],\n",
|
|
" [2919960],\n",
|
|
" [2896641],\n",
|
|
" [2896606],\n",
|
|
" [2895039]]),\n",
|
|
" array([[2930657],\n",
|
|
" [2754049]]),\n",
|
|
" array([[2931809],\n",
|
|
" [2927997],\n",
|
|
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|
|
" [2927661],\n",
|
|
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|
|
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|
|
" [2921632],\n",
|
|
" [2920910],\n",
|
|
" [2911497]]),\n",
|
|
" array([[2929413],\n",
|
|
" [2922103],\n",
|
|
" [2922077],\n",
|
|
" [2920233],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1222170],\n",
|
|
" [1221821],\n",
|
|
" [1221025],\n",
|
|
" [1220731]]),\n",
|
|
" array([[2931890],\n",
|
|
" [2927613],\n",
|
|
" [2925038],\n",
|
|
" [2883007],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2276262],\n",
|
|
" [2275752],\n",
|
|
" [2274847],\n",
|
|
" [1868346],\n",
|
|
" [1868286]]),\n",
|
|
" array([[2931788],\n",
|
|
" [2931755],\n",
|
|
" [2931720],\n",
|
|
" [2931516],\n",
|
|
" [2929898],\n",
|
|
" [2929678],\n",
|
|
" [2929665],\n",
|
|
" [2929654],\n",
|
|
" [2929435]]),\n",
|
|
" array([[2930597],\n",
|
|
" [2929949],\n",
|
|
" [2849849]]),\n",
|
|
" array([[2335870],\n",
|
|
" [2335734],\n",
|
|
" [2334434],\n",
|
|
" [2334392],\n",
|
|
" [1886862]]),\n",
|
|
" array([[2930657],\n",
|
|
" [2929791],\n",
|
|
" [2925934],\n",
|
|
" [2902635],\n",
|
|
" [2901578],\n",
|
|
" [2899898],\n",
|
|
" [2899350],\n",
|
|
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|
|
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|
|
" [2881609],\n",
|
|
" [2881571],\n",
|
|
" [2879660],\n",
|
|
" [2879566],\n",
|
|
" [2878791],\n",
|
|
" [2678494],\n",
|
|
" [2557165],\n",
|
|
" [2557128],\n",
|
|
" [2556187],\n",
|
|
" [2555847],\n",
|
|
" [2551497],\n",
|
|
" [2541430],\n",
|
|
" [1699629],\n",
|
|
" [1699509],\n",
|
|
" [1594545],\n",
|
|
" [1563687],\n",
|
|
" [1563209],\n",
|
|
" [1562555],\n",
|
|
" [1561795],\n",
|
|
" [1435516],\n",
|
|
" [1291763],\n",
|
|
" [1272565],\n",
|
|
" [1272166],\n",
|
|
" [1269275],\n",
|
|
" [1249248],\n",
|
|
" [1249236],\n",
|
|
" [1246821],\n",
|
|
" [1245575],\n",
|
|
" [1243766],\n",
|
|
" [1241057]]),\n",
|
|
" array([[2926423],\n",
|
|
" [2925798],\n",
|
|
" [2924810],\n",
|
|
" [2924596]]),\n",
|
|
" array([[2890743],\n",
|
|
" [2890592],\n",
|
|
" [2890333]]),\n",
|
|
" array([[2931479],\n",
|
|
" [2928803],\n",
|
|
" [2924514],\n",
|
|
" [2923920],\n",
|
|
" [2918965],\n",
|
|
" [2908125],\n",
|
|
" [2904212],\n",
|
|
" [2904071],\n",
|
|
" [2902993]]),\n",
|
|
" array([[2931618],\n",
|
|
" [2928312],\n",
|
|
" [2928277],\n",
|
|
" [2926768],\n",
|
|
" [2925378],\n",
|
|
" [2925312],\n",
|
|
" [2924801],\n",
|
|
" [2924732],\n",
|
|
" [2833975],\n",
|
|
" [2826091],\n",
|
|
" [2823093],\n",
|
|
" [2822956],\n",
|
|
" [2821798],\n",
|
|
" [2821776],\n",
|
|
" [2821764],\n",
|
|
" [2821484],\n",
|
|
" [2811623],\n",
|
|
" [2800681],\n",
|
|
" [2800661],\n",
|
|
" [2799410],\n",
|
|
" [2788878],\n",
|
|
" [2788773]]),\n",
|
|
" array([[2928292],\n",
|
|
" [2928270],\n",
|
|
" [2928118],\n",
|
|
" [2927607],\n",
|
|
" [2927567],\n",
|
|
" [2917137],\n",
|
|
" [2917117],\n",
|
|
" [2914701],\n",
|
|
" [2914496],\n",
|
|
" [2913768],\n",
|
|
" [2889378],\n",
|
|
" [2888726],\n",
|
|
" [2887302]]),\n",
|
|
" array([[2931788],\n",
|
|
" [2684828],\n",
|
|
" [2683475],\n",
|
|
" [2676049],\n",
|
|
" [2675979],\n",
|
|
" [1797997]]),\n",
|
|
" array([[2916615],\n",
|
|
" [2914529],\n",
|
|
" [2911109],\n",
|
|
" [2890400],\n",
|
|
" [2887359],\n",
|
|
" [2887337],\n",
|
|
" [2886997],\n",
|
|
" [2736019]]),\n",
|
|
" array([[2930657],\n",
|
|
" [2930510],\n",
|
|
" [2928944],\n",
|
|
" [2917564],\n",
|
|
" [2916873],\n",
|
|
" [2916800],\n",
|
|
" [2916679],\n",
|
|
" [2908727],\n",
|
|
" [2908697],\n",
|
|
" [2908665],\n",
|
|
" [2904243],\n",
|
|
" [2808752]]),\n",
|
|
" array([[2931809],\n",
|
|
" [2926713],\n",
|
|
" [2916832],\n",
|
|
" [2916173],\n",
|
|
" [2916157],\n",
|
|
" [2916114],\n",
|
|
" [2916050],\n",
|
|
" [2890580],\n",
|
|
" [2890363]]),\n",
|
|
" array([[2916615],\n",
|
|
" [2914151],\n",
|
|
" [2910451],\n",
|
|
" [2904701],\n",
|
|
" [2904633],\n",
|
|
" [2904331],\n",
|
|
" [2904190],\n",
|
|
" [2904151],\n",
|
|
" [2899488],\n",
|
|
" [2899295],\n",
|
|
" [2899143],\n",
|
|
" [2897161],\n",
|
|
" [2859500],\n",
|
|
" [2859436],\n",
|
|
" [2858574]]),\n",
|
|
" array([[2930057],\n",
|
|
" [2921595],\n",
|
|
" [2904690],\n",
|
|
" [2904496],\n",
|
|
" [2900140],\n",
|
|
" [2890851],\n",
|
|
" [2890634]]),\n",
|
|
" array([[2926423],\n",
|
|
" [2923388],\n",
|
|
" [2923115],\n",
|
|
" [2923022],\n",
|
|
" [2887101],\n",
|
|
" [2860836],\n",
|
|
" [2856049],\n",
|
|
" [2614173],\n",
|
|
" [2613512],\n",
|
|
" [2538231],\n",
|
|
" [2535424],\n",
|
|
" [2535402],\n",
|
|
" [2534737],\n",
|
|
" [2533310],\n",
|
|
" [2532072],\n",
|
|
" [2513440],\n",
|
|
" [2512652],\n",
|
|
" [1502760],\n",
|
|
" [1502750],\n",
|
|
" [1469004],\n",
|
|
" [1468064],\n",
|
|
" [1467536],\n",
|
|
" [1237797],\n",
|
|
" [1233983],\n",
|
|
" [1230441],\n",
|
|
" [1227749],\n",
|
|
" [1227465]]),\n",
|
|
" array([[2931788],\n",
|
|
" [2931743],\n",
|
|
" [2931664],\n",
|
|
" [2931365],\n",
|
|
" [2931262],\n",
|
|
" [2887288],\n",
|
|
" [2887247],\n",
|
|
" [2881637],\n",
|
|
" [2881557],\n",
|
|
" [2663317],\n",
|
|
" [2662468],\n",
|
|
" [2662279],\n",
|
|
" [2659496],\n",
|
|
" [2659473],\n",
|
|
" [2536762],\n",
|
|
" [2535255],\n",
|
|
" [2534336],\n",
|
|
" [2526183],\n",
|
|
" [2526164],\n",
|
|
" [2525989],\n",
|
|
" [2474817],\n",
|
|
" [2474210],\n",
|
|
" [2471262],\n",
|
|
" [2471093],\n",
|
|
" [2431221],\n",
|
|
" [2430805],\n",
|
|
" [2260933],\n",
|
|
" [2260592],\n",
|
|
" [2255855],\n",
|
|
" [2228035],\n",
|
|
" [2227075],\n",
|
|
" [2223381],\n",
|
|
" [2221366],\n",
|
|
" [2219071],\n",
|
|
" [2219011],\n",
|
|
" [2218977],\n",
|
|
" [2213770],\n",
|
|
" [2212504],\n",
|
|
" [2193368],\n",
|
|
" [2193313],\n",
|
|
" [1960640],\n",
|
|
" [1959989],\n",
|
|
" [1959908],\n",
|
|
" [1945335],\n",
|
|
" [1945059],\n",
|
|
" [1944386],\n",
|
|
" [1943326],\n",
|
|
" [1942720]]),\n",
|
|
" array([[2931166],\n",
|
|
" [2930246],\n",
|
|
" [2926812],\n",
|
|
" [2922816],\n",
|
|
" [2921057],\n",
|
|
" [2920459],\n",
|
|
" [2920379],\n",
|
|
" [2913833],\n",
|
|
" [2913706],\n",
|
|
" [2911649]]),\n",
|
|
" array([[2904950]]),\n",
|
|
" array([[2931788],\n",
|
|
" [2927841],\n",
|
|
" [2927575],\n",
|
|
" [2927467],\n",
|
|
" [2921633],\n",
|
|
" [2921548],\n",
|
|
" [2920796],\n",
|
|
" [2897488],\n",
|
|
" [2896661],\n",
|
|
" [2895903],\n",
|
|
" [2892435],\n",
|
|
" [2891798],\n",
|
|
" [2887839],\n",
|
|
" [2852127],\n",
|
|
" [2851432],\n",
|
|
" [2838602],\n",
|
|
" [2837069],\n",
|
|
" [2836977],\n",
|
|
" [2836894],\n",
|
|
" [2836179],\n",
|
|
" [2820083],\n",
|
|
" [2820065],\n",
|
|
" [2716860],\n",
|
|
" [2716254],\n",
|
|
" [2716244],\n",
|
|
" [2712280],\n",
|
|
" [2712169]]),\n",
|
|
" array([[2890743],\n",
|
|
" [2890708],\n",
|
|
" [2890081],\n",
|
|
" [2887927],\n",
|
|
" [2882828],\n",
|
|
" [2882610],\n",
|
|
" [2882531]]),\n",
|
|
" array([[2931890],\n",
|
|
" [2923682],\n",
|
|
" [2910983],\n",
|
|
" [2910779],\n",
|
|
" [2874869],\n",
|
|
" [2846076],\n",
|
|
" [2845990],\n",
|
|
" [2845650],\n",
|
|
" [2839186],\n",
|
|
" [2838899],\n",
|
|
" [2832683],\n",
|
|
" [2832620]]),\n",
|
|
" array([[2931890],\n",
|
|
" [2889513],\n",
|
|
" [2868597],\n",
|
|
" [2861428],\n",
|
|
" [2694676],\n",
|
|
" [2692703],\n",
|
|
" [2691534],\n",
|
|
" [2690905],\n",
|
|
" [2690767],\n",
|
|
" [2690743],\n",
|
|
" [2507583]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2931843],\n",
|
|
" [2931830],\n",
|
|
" [2931626]]),\n",
|
|
" array([[2915666],\n",
|
|
" [2913278],\n",
|
|
" [2907136],\n",
|
|
" [2683987],\n",
|
|
" [2633860],\n",
|
|
" [2633014],\n",
|
|
" [2632982],\n",
|
|
" [2632660],\n",
|
|
" [2564175],\n",
|
|
" [2564050],\n",
|
|
" [2564031],\n",
|
|
" [2563987],\n",
|
|
" [2552199],\n",
|
|
" [2552157],\n",
|
|
" [2548352],\n",
|
|
" [2548215],\n",
|
|
" [2512383]]),\n",
|
|
" array([[2931867],\n",
|
|
" [2924924],\n",
|
|
" [2924780],\n",
|
|
" [2888133],\n",
|
|
" [2888086],\n",
|
|
" [2885839],\n",
|
|
" [2882762],\n",
|
|
" [2798229],\n",
|
|
" [2798013],\n",
|
|
" [2795307],\n",
|
|
" [2795256],\n",
|
|
" [2794099],\n",
|
|
" [2794087],\n",
|
|
" [2793954]]),\n",
|
|
" array([[2928669]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2931830],\n",
|
|
" [2740565],\n",
|
|
" [2735820],\n",
|
|
" [2735807],\n",
|
|
" [2735366]]),\n",
|
|
" array([[2931542],\n",
|
|
" [2921316],\n",
|
|
" [2921116],\n",
|
|
" [2921002],\n",
|
|
" [2920949],\n",
|
|
" [2918844]]),\n",
|
|
" array([[2931818],\n",
|
|
" [2790466],\n",
|
|
" [2790408],\n",
|
|
" [2790388],\n",
|
|
" [2790356],\n",
|
|
" [2775223],\n",
|
|
" [2775160],\n",
|
|
" [2770017],\n",
|
|
" [2769570],\n",
|
|
" [2766985],\n",
|
|
" [2762428],\n",
|
|
" [2762306],\n",
|
|
" [2757391],\n",
|
|
" [2756972],\n",
|
|
" [2692881],\n",
|
|
" [2692856],\n",
|
|
" [2692563],\n",
|
|
" [2687540],\n",
|
|
" [2687530],\n",
|
|
" [2687265],\n",
|
|
" [2677119],\n",
|
|
" [2676639],\n",
|
|
" [2542662],\n",
|
|
" [2542535],\n",
|
|
" [2542501],\n",
|
|
" [2535518],\n",
|
|
" [2523111],\n",
|
|
" [2521755],\n",
|
|
" [2521388],\n",
|
|
" [2517109],\n",
|
|
" [2517025],\n",
|
|
" [2516749],\n",
|
|
" [2516390],\n",
|
|
" [2504334],\n",
|
|
" [2504274],\n",
|
|
" [2504254],\n",
|
|
" [2499831],\n",
|
|
" [2499686],\n",
|
|
" [2489291],\n",
|
|
" [2489077],\n",
|
|
" [2487401],\n",
|
|
" [2482353],\n",
|
|
" [2481935],\n",
|
|
" [2481376],\n",
|
|
" [2480402],\n",
|
|
" [2479904],\n",
|
|
" [2479857],\n",
|
|
" [2479775],\n",
|
|
" [2479233],\n",
|
|
" [2479196],\n",
|
|
" [2479132],\n",
|
|
" [2477580],\n",
|
|
" [2477565],\n",
|
|
" [2477364],\n",
|
|
" [2418575],\n",
|
|
" [2411923],\n",
|
|
" [2411905],\n",
|
|
" [2410547],\n",
|
|
" [2402450],\n",
|
|
" [2402229],\n",
|
|
" [2402032],\n",
|
|
" [2399103],\n",
|
|
" [2398999],\n",
|
|
" [2365807],\n",
|
|
" [2365761],\n",
|
|
" [2361993],\n",
|
|
" [2361209],\n",
|
|
" [2359770],\n",
|
|
" [2349358],\n",
|
|
" [2349307],\n",
|
|
" [2319909],\n",
|
|
" [2290770],\n",
|
|
" [2290758],\n",
|
|
" [2290644],\n",
|
|
" [2289944],\n",
|
|
" [1904713],\n",
|
|
" [1229176],\n",
|
|
" [1228839],\n",
|
|
" [1226122],\n",
|
|
" [1225958],\n",
|
|
" [1225884],\n",
|
|
" [1224841],\n",
|
|
" [1223013],\n",
|
|
" [1222188],\n",
|
|
" [ 357140],\n",
|
|
" [ 356825],\n",
|
|
" [ 356712],\n",
|
|
" [ 356082]]),\n",
|
|
" array([[2931764],\n",
|
|
" [2931748],\n",
|
|
" [2931197],\n",
|
|
" [2931117],\n",
|
|
" [2803745],\n",
|
|
" [2802940],\n",
|
|
" [2800933],\n",
|
|
" [2799215],\n",
|
|
" [2796219],\n",
|
|
" [2795958]]),\n",
|
|
" array([[2931706],\n",
|
|
" [2931482],\n",
|
|
" [2931013],\n",
|
|
" [2915787],\n",
|
|
" [2915755],\n",
|
|
" [2915130],\n",
|
|
" [2914517],\n",
|
|
" [2913182],\n",
|
|
" [2911843],\n",
|
|
" [2911639],\n",
|
|
" [2911624],\n",
|
|
" [2891272],\n",
|
|
" [2890729],\n",
|
|
" [2890277],\n",
|
|
" [2886961]]),\n",
|
|
" array([[2931407],\n",
|
|
" [2931324],\n",
|
|
" [2928260],\n",
|
|
" [2923044],\n",
|
|
" [2923008],\n",
|
|
" [2921572],\n",
|
|
" [2921559],\n",
|
|
" [2920245],\n",
|
|
" [2920120],\n",
|
|
" [2910043]]),\n",
|
|
" array([[2925579],\n",
|
|
" [2925518],\n",
|
|
" [2925448],\n",
|
|
" [2699687]]),\n",
|
|
" array([[2282957],\n",
|
|
" [2184520],\n",
|
|
" [2184410],\n",
|
|
" [2183699],\n",
|
|
" [2180534]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2931506],\n",
|
|
" [2916119],\n",
|
|
" [2913151],\n",
|
|
" [2909693],\n",
|
|
" [2909352],\n",
|
|
" [2897674],\n",
|
|
" [2896124],\n",
|
|
" [2861208],\n",
|
|
" [2861138],\n",
|
|
" [2848339],\n",
|
|
" [2847726],\n",
|
|
" [2846209],\n",
|
|
" [1590133],\n",
|
|
" [1589311],\n",
|
|
" [1553463],\n",
|
|
" [1423062],\n",
|
|
" [1379963],\n",
|
|
" [1347904],\n",
|
|
" [1347715],\n",
|
|
" [1347704],\n",
|
|
" [1315044],\n",
|
|
" [ 47610],\n",
|
|
" [ 16427]]),\n",
|
|
" array([[2915666],\n",
|
|
" [2915641],\n",
|
|
" [2144032],\n",
|
|
" [2144011],\n",
|
|
" [2039292],\n",
|
|
" [2037822],\n",
|
|
" [2037212],\n",
|
|
" [2027718],\n",
|
|
" [2027697],\n",
|
|
" [2027065],\n",
|
|
" [2012085],\n",
|
|
" [2012004],\n",
|
|
" [2011964],\n",
|
|
" [2011912],\n",
|
|
" [2011618],\n",
|
|
" [2011557],\n",
|
|
" [2009114],\n",
|
|
" [2008653],\n",
|
|
" [2008601],\n",
|
|
" [1991469],\n",
|
|
" [1991433],\n",
|
|
" [1991302],\n",
|
|
" [1991139],\n",
|
|
" [1990546],\n",
|
|
" [1987963],\n",
|
|
" [1987926],\n",
|
|
" [1987898],\n",
|
|
" [1970082],\n",
|
|
" [1967728],\n",
|
|
" [1967716],\n",
|
|
" [1967663],\n",
|
|
" [1967593],\n",
|
|
" [1963775],\n",
|
|
" [1963668],\n",
|
|
" [1963099],\n",
|
|
" [1905050],\n",
|
|
" [1904729]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2826167],\n",
|
|
" [2825921],\n",
|
|
" [2811711],\n",
|
|
" [2811519],\n",
|
|
" [2796451],\n",
|
|
" [2796399],\n",
|
|
" [2788305],\n",
|
|
" [2771806],\n",
|
|
" [2768753],\n",
|
|
" [2767886],\n",
|
|
" [2767771],\n",
|
|
" [2767545],\n",
|
|
" [2767008],\n",
|
|
" [2764068],\n",
|
|
" [2675058],\n",
|
|
" [2675045],\n",
|
|
" [2641093],\n",
|
|
" [2627506],\n",
|
|
" [2595819],\n",
|
|
" [2594450],\n",
|
|
" [2548792],\n",
|
|
" [2548712],\n",
|
|
" [2548488],\n",
|
|
" [2544545],\n",
|
|
" [2544531],\n",
|
|
" [2544504],\n",
|
|
" [2543492],\n",
|
|
" [2418374],\n",
|
|
" [2418189],\n",
|
|
" [2418178],\n",
|
|
" [2417896],\n",
|
|
" [2417856],\n",
|
|
" [2417582],\n",
|
|
" [2412651],\n",
|
|
" [2412624],\n",
|
|
" [2409205],\n",
|
|
" [2390968],\n",
|
|
" [2390562]]),\n",
|
|
" array([[2931609],\n",
|
|
" [2887742],\n",
|
|
" [2885783],\n",
|
|
" [2870313],\n",
|
|
" [2870293],\n",
|
|
" [2868932]]),\n",
|
|
" array([[2931867],\n",
|
|
" [2931409],\n",
|
|
" [2924768],\n",
|
|
" [2919822],\n",
|
|
" [2919679],\n",
|
|
" [2910440],\n",
|
|
" [2896166],\n",
|
|
" [2895183],\n",
|
|
" [2890348],\n",
|
|
" [2889748],\n",
|
|
" [2832682],\n",
|
|
" [2798265],\n",
|
|
" [2798240],\n",
|
|
" [2798159],\n",
|
|
" [2797000]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2931204],\n",
|
|
" [2931054]]),\n",
|
|
" array([[2931764],\n",
|
|
" [2931707],\n",
|
|
" [2931688],\n",
|
|
" [2931510],\n",
|
|
" [2919265],\n",
|
|
" [2919205],\n",
|
|
" [2915799],\n",
|
|
" [2915789],\n",
|
|
" [2846914],\n",
|
|
" [2844417],\n",
|
|
" [2844148],\n",
|
|
" [2843777],\n",
|
|
" [2843672],\n",
|
|
" [2716788],\n",
|
|
" [2686670]]),\n",
|
|
" array([[2931706],\n",
|
|
" [2810546],\n",
|
|
" [2810262],\n",
|
|
" [2809724],\n",
|
|
" [2805945],\n",
|
|
" [2805931],\n",
|
|
" [2769967],\n",
|
|
" [2764423],\n",
|
|
" [2763015],\n",
|
|
" [2762898],\n",
|
|
" [2760849],\n",
|
|
" [2760407],\n",
|
|
" [2760137],\n",
|
|
" [2754468],\n",
|
|
" [2753432],\n",
|
|
" [2753046],\n",
|
|
" [2752967],\n",
|
|
" [2751431],\n",
|
|
" [2751083],\n",
|
|
" [2746230],\n",
|
|
" [2680028],\n",
|
|
" [2679020],\n",
|
|
" [2678450],\n",
|
|
" [2647407],\n",
|
|
" [2647394],\n",
|
|
" [2646140],\n",
|
|
" [2629560],\n",
|
|
" [2600233],\n",
|
|
" [2600118]]),\n",
|
|
" array([[2931390],\n",
|
|
" [2931326],\n",
|
|
" [2931136],\n",
|
|
" [2924850],\n",
|
|
" [2903093],\n",
|
|
" [2899006],\n",
|
|
" [2896311],\n",
|
|
" [2895138],\n",
|
|
" [2895088],\n",
|
|
" [2895054],\n",
|
|
" [2891293],\n",
|
|
" [2891263],\n",
|
|
" [2890922],\n",
|
|
" [2886513],\n",
|
|
" [2886171],\n",
|
|
" [2850815],\n",
|
|
" [2833495],\n",
|
|
" [2833298],\n",
|
|
" [2831831],\n",
|
|
" [2831818],\n",
|
|
" [2818608]]),\n",
|
|
" array([[2931542],\n",
|
|
" [2929479],\n",
|
|
" [2929384],\n",
|
|
" [2929369],\n",
|
|
" [2929106],\n",
|
|
" [1562170],\n",
|
|
" [1437424],\n",
|
|
" [1388470],\n",
|
|
" [1388460],\n",
|
|
" [1355678],\n",
|
|
" [1335671],\n",
|
|
" [1268692],\n",
|
|
" [1268277],\n",
|
|
" [1268005],\n",
|
|
" [1267735],\n",
|
|
" [1265719],\n",
|
|
" [1254406],\n",
|
|
" [1240400],\n",
|
|
" [1239704],\n",
|
|
" [1236590],\n",
|
|
" [ 973450],\n",
|
|
" [ 181651],\n",
|
|
" [ 86546],\n",
|
|
" [ 86481]]),\n",
|
|
" array([[2931867],\n",
|
|
" [2928853],\n",
|
|
" [2928696],\n",
|
|
" [2924882],\n",
|
|
" [2902130]]),\n",
|
|
" array([[2929712],\n",
|
|
" [2929536],\n",
|
|
" [2926839],\n",
|
|
" [2925725],\n",
|
|
" [2924923],\n",
|
|
" [2923568],\n",
|
|
" [2922229],\n",
|
|
" [2921974],\n",
|
|
" [2921766],\n",
|
|
" [2921707],\n",
|
|
" [2901958],\n",
|
|
" [2898065]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2928364],\n",
|
|
" [2928180],\n",
|
|
" [2882704],\n",
|
|
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|
|
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|
|
" [2827423],\n",
|
|
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|
|
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|
|
" [2826086],\n",
|
|
" [2825010],\n",
|
|
" [2824872]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2931356],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2817697],\n",
|
|
" [2816581],\n",
|
|
" [2816527],\n",
|
|
" [2812444]]),\n",
|
|
" array([[2929712],\n",
|
|
" [2921213],\n",
|
|
" [2905524]]),\n",
|
|
" array([[2931818],\n",
|
|
" [2929553],\n",
|
|
" [2929538],\n",
|
|
" [2929463],\n",
|
|
" [2929156]]),\n",
|
|
" array([[2928048],\n",
|
|
" [2927049],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2683627],\n",
|
|
" [2683413],\n",
|
|
" [2683379],\n",
|
|
" [2683292],\n",
|
|
" [2682715],\n",
|
|
" [2681913]]),\n",
|
|
" array([[2931390],\n",
|
|
" [2930021],\n",
|
|
" [2926602],\n",
|
|
" [2926083],\n",
|
|
" [2926022]]),\n",
|
|
" array([[2925854],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [ 623455],\n",
|
|
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|
|
" [ 620831],\n",
|
|
" [ 620120],\n",
|
|
" [ 615504],\n",
|
|
" [ 261980],\n",
|
|
" [ 129925],\n",
|
|
" [ 129765],\n",
|
|
" [ 100685],\n",
|
|
" [ 100556]]),\n",
|
|
" array([[2923373],\n",
|
|
" [2903077],\n",
|
|
" [2901785]]),\n",
|
|
" array([[2921769],\n",
|
|
" [2920240],\n",
|
|
" [2919213],\n",
|
|
" [2919179],\n",
|
|
" [2919078],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2888114],\n",
|
|
" [2887514],\n",
|
|
" [2881346],\n",
|
|
" [2881333],\n",
|
|
" [2881217]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931841],\n",
|
|
" [2931754],\n",
|
|
" [2931403],\n",
|
|
" [2931160],\n",
|
|
" [2930405],\n",
|
|
" [2930377],\n",
|
|
" [2925672]]),\n",
|
|
" array([[2920367],\n",
|
|
" [2920123],\n",
|
|
" [2918953],\n",
|
|
" [1868158],\n",
|
|
" [1859803],\n",
|
|
" [1853162],\n",
|
|
" [1840315],\n",
|
|
" [1840279],\n",
|
|
" [1840144]]),\n",
|
|
" array([[2921231],\n",
|
|
" [2920730],\n",
|
|
" [2913650],\n",
|
|
" [2910773],\n",
|
|
" [2863729],\n",
|
|
" [2861111],\n",
|
|
" [2783776],\n",
|
|
" [2783633],\n",
|
|
" [2783621],\n",
|
|
" [2783526],\n",
|
|
" [2783457]]),\n",
|
|
" array([[2930220],\n",
|
|
" [2929887]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2930769]]),\n",
|
|
" array([[2921231],\n",
|
|
" [2881749],\n",
|
|
" [2881100],\n",
|
|
" [2881046],\n",
|
|
" [2880006],\n",
|
|
" [2874871],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2867554],\n",
|
|
" [2634400],\n",
|
|
" [2611926],\n",
|
|
" [2611872],\n",
|
|
" [2611755],\n",
|
|
" [2611077],\n",
|
|
" [2610619],\n",
|
|
" [2608881],\n",
|
|
" [2601501],\n",
|
|
" [2600861],\n",
|
|
" [2544913]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2925095],\n",
|
|
" [2924755],\n",
|
|
" [2919995],\n",
|
|
" [2919912],\n",
|
|
" [2910809],\n",
|
|
" [2910693],\n",
|
|
" [2910573]]),\n",
|
|
" array([[2923373],\n",
|
|
" [2923201],\n",
|
|
" [2923179],\n",
|
|
" [2923123],\n",
|
|
" [2916911],\n",
|
|
" [2736180]]),\n",
|
|
" array([[2840798],\n",
|
|
" [2837247],\n",
|
|
" [2837079],\n",
|
|
" [2833616]]),\n",
|
|
" array([[2921769],\n",
|
|
" [2921518]]),\n",
|
|
" array([[2923373],\n",
|
|
" [2903077],\n",
|
|
" [2902930],\n",
|
|
" [2902547],\n",
|
|
" [2902235],\n",
|
|
" [2895219],\n",
|
|
" [2895209],\n",
|
|
" [2895189],\n",
|
|
" [2895043],\n",
|
|
" [2893913],\n",
|
|
" [2889041],\n",
|
|
" [2885015]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2930019],\n",
|
|
" [2929939],\n",
|
|
" [2839067],\n",
|
|
" [2833203],\n",
|
|
" [2832342],\n",
|
|
" [2817363],\n",
|
|
" [2816612]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2906612],\n",
|
|
" [2906577],\n",
|
|
" [2886597],\n",
|
|
" [2886509],\n",
|
|
" [2886429],\n",
|
|
" [2884866],\n",
|
|
" [2687326],\n",
|
|
" [2687305],\n",
|
|
" [2684971],\n",
|
|
" [2684835],\n",
|
|
" [2683861],\n",
|
|
" [2683820],\n",
|
|
" [2680760],\n",
|
|
" [2680372],\n",
|
|
" [2680124],\n",
|
|
" [2680094],\n",
|
|
" [2611979],\n",
|
|
" [2601685],\n",
|
|
" [2589239],\n",
|
|
" [2588808],\n",
|
|
" [2588783],\n",
|
|
" [2588557],\n",
|
|
" [2578959],\n",
|
|
" [2558655],\n",
|
|
" [2555872]]),\n",
|
|
" array([[2921769],\n",
|
|
" [2918492],\n",
|
|
" [2886780]]),\n",
|
|
" array([[2923373],\n",
|
|
" [2914200],\n",
|
|
" [2883257],\n",
|
|
" [2773247],\n",
|
|
" [2101966],\n",
|
|
" [2101488],\n",
|
|
" [2096793],\n",
|
|
" [2096038],\n",
|
|
" [2096003],\n",
|
|
" [2095983],\n",
|
|
" [2095607]]),\n",
|
|
" array([[2925854],\n",
|
|
" [2925465],\n",
|
|
" [2925311],\n",
|
|
" [2925293],\n",
|
|
" [2915284],\n",
|
|
" [2904555],\n",
|
|
" [2904543],\n",
|
|
" [2904514],\n",
|
|
" [2904468],\n",
|
|
" [2903740],\n",
|
|
" [2861904],\n",
|
|
" [2861160],\n",
|
|
" [2753333],\n",
|
|
" [2752717],\n",
|
|
" [2738600],\n",
|
|
" [2673129],\n",
|
|
" [2671747],\n",
|
|
" [2671711],\n",
|
|
" [2669865],\n",
|
|
" [2669666],\n",
|
|
" [2515576],\n",
|
|
" [2514705],\n",
|
|
" [2514549],\n",
|
|
" [2510306],\n",
|
|
" [2510190],\n",
|
|
" [2509813],\n",
|
|
" [2508274],\n",
|
|
" [2508255],\n",
|
|
" [2508060],\n",
|
|
" [2507742],\n",
|
|
" [2507726],\n",
|
|
" [2506667],\n",
|
|
" [2504256],\n",
|
|
" [2417744],\n",
|
|
" [2417449],\n",
|
|
" [2416820],\n",
|
|
" [2406783]]),\n",
|
|
" array([[2923373],\n",
|
|
" [2923334],\n",
|
|
" [2916054],\n",
|
|
" [2915983],\n",
|
|
" [2915955],\n",
|
|
" [2915926],\n",
|
|
" [2915833],\n",
|
|
" [2915700]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2904738],\n",
|
|
" [2904649],\n",
|
|
" [2903700],\n",
|
|
" [2903686],\n",
|
|
" [2902983],\n",
|
|
" [2902948],\n",
|
|
" [2902759],\n",
|
|
" [2902498],\n",
|
|
" [2884870],\n",
|
|
" [2884525],\n",
|
|
" [2881583],\n",
|
|
" [2840178]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2931903],\n",
|
|
" [2931795],\n",
|
|
" [2922991],\n",
|
|
" [2922443],\n",
|
|
" [2921956]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931697],\n",
|
|
" [2926459],\n",
|
|
" [2924111],\n",
|
|
" [2892303],\n",
|
|
" [2879354],\n",
|
|
" [2879284],\n",
|
|
" [2879209],\n",
|
|
" [2873379],\n",
|
|
" [2866961],\n",
|
|
" [2866782],\n",
|
|
" [2842677],\n",
|
|
" [2806001],\n",
|
|
" [2779017],\n",
|
|
" [2778984],\n",
|
|
" [2778799],\n",
|
|
" [2778474],\n",
|
|
" [2777337],\n",
|
|
" [2741148],\n",
|
|
" [2737008],\n",
|
|
" [2732053],\n",
|
|
" [2731980],\n",
|
|
" [2643875],\n",
|
|
" [2643862],\n",
|
|
" [2425289],\n",
|
|
" [2337634],\n",
|
|
" [2325552],\n",
|
|
" [2325380],\n",
|
|
" [2324789],\n",
|
|
" [2321804],\n",
|
|
" [2321703],\n",
|
|
" [2321496],\n",
|
|
" [2318755],\n",
|
|
" [2318708],\n",
|
|
" [2318621],\n",
|
|
" [2303119],\n",
|
|
" [2298307],\n",
|
|
" [2286072],\n",
|
|
" [2272866],\n",
|
|
" [2271995],\n",
|
|
" [2247307],\n",
|
|
" [2247284],\n",
|
|
" [2243955],\n",
|
|
" [2243005],\n",
|
|
" [2238817],\n",
|
|
" [2009360],\n",
|
|
" [2009347],\n",
|
|
" [2009108]]),\n",
|
|
" array([[2930414],\n",
|
|
" [2929796],\n",
|
|
" [2929484],\n",
|
|
" [2929234],\n",
|
|
" [2928090],\n",
|
|
" [2921524]]),\n",
|
|
" array([[2927468],\n",
|
|
" [2883080],\n",
|
|
" [2882413],\n",
|
|
" [2881855],\n",
|
|
" [2881801],\n",
|
|
" [2881689]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2925095],\n",
|
|
" [2920067],\n",
|
|
" [2268404],\n",
|
|
" [2253662],\n",
|
|
" [2253635],\n",
|
|
" [2244934],\n",
|
|
" [2244281],\n",
|
|
" [2219930],\n",
|
|
" [2219686],\n",
|
|
" [2214162],\n",
|
|
" [2208676],\n",
|
|
" [2208187],\n",
|
|
" [2207936],\n",
|
|
" [2207544],\n",
|
|
" [2199380],\n",
|
|
" [2198887],\n",
|
|
" [2198268],\n",
|
|
" [2196605],\n",
|
|
" [2196462],\n",
|
|
" [2196446],\n",
|
|
" [2196381],\n",
|
|
" [2196366],\n",
|
|
" [2176959],\n",
|
|
" [2176637],\n",
|
|
" [2176604],\n",
|
|
" [2176577],\n",
|
|
" [2175536],\n",
|
|
" [2166775],\n",
|
|
" [2163311],\n",
|
|
" [2163226],\n",
|
|
" [2163079],\n",
|
|
" [2161882],\n",
|
|
" [2098234],\n",
|
|
" [2070362],\n",
|
|
" [2070318],\n",
|
|
" [2069821],\n",
|
|
" [2068566],\n",
|
|
" [1847935],\n",
|
|
" [1847736],\n",
|
|
" [1837272],\n",
|
|
" [1833851],\n",
|
|
" [1833110],\n",
|
|
" [1833089],\n",
|
|
" [1832906],\n",
|
|
" [1631908],\n",
|
|
" [1631404],\n",
|
|
" [1629085],\n",
|
|
" [1629072],\n",
|
|
" [1628909],\n",
|
|
" [1628024],\n",
|
|
" [1623106],\n",
|
|
" [1603917],\n",
|
|
" [1589568],\n",
|
|
" [1576607],\n",
|
|
" [1377009],\n",
|
|
" [1278339],\n",
|
|
" [1242035],\n",
|
|
" [1241863],\n",
|
|
" [1239428],\n",
|
|
" [1238915],\n",
|
|
" [1233921],\n",
|
|
" [1230731],\n",
|
|
" [1230537],\n",
|
|
" [1230403],\n",
|
|
" [ 556933],\n",
|
|
" [ 555363],\n",
|
|
" [ 554095],\n",
|
|
" [ 381454],\n",
|
|
" [ 381022],\n",
|
|
" [ 62134],\n",
|
|
" [ 62038]]),\n",
|
|
" array([[2920367],\n",
|
|
" [2918627],\n",
|
|
" [2917091],\n",
|
|
" [2916992],\n",
|
|
" [2880824],\n",
|
|
" [2862788],\n",
|
|
" [2443545],\n",
|
|
" [2438623],\n",
|
|
" [2438480],\n",
|
|
" [2437941]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2876785],\n",
|
|
" [2876603],\n",
|
|
" [2876454]]),\n",
|
|
" array([[2593903],\n",
|
|
" [2593627],\n",
|
|
" [2593395]]),\n",
|
|
" array([[2593903],\n",
|
|
" [1270639],\n",
|
|
" [1233533],\n",
|
|
" [1229082],\n",
|
|
" [1169733],\n",
|
|
" [ 77258],\n",
|
|
" [ 77102]]),\n",
|
|
" array([[2929222],\n",
|
|
" [2806898],\n",
|
|
" [2797323],\n",
|
|
" [2796922],\n",
|
|
" [2790735],\n",
|
|
" [2770777],\n",
|
|
" [2770711],\n",
|
|
" [2769966],\n",
|
|
" [2769786],\n",
|
|
" [2769321],\n",
|
|
" [2768297],\n",
|
|
" [2767816],\n",
|
|
" [2766934],\n",
|
|
" [2120162],\n",
|
|
" [2113385],\n",
|
|
" [1524458],\n",
|
|
" [1395518],\n",
|
|
" [1381907],\n",
|
|
" [1365921],\n",
|
|
" [1363613],\n",
|
|
" [1351129],\n",
|
|
" [1335014],\n",
|
|
" [1265501]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2923029],\n",
|
|
" [2921826],\n",
|
|
" [2921685]]),\n",
|
|
" array([[2931762],\n",
|
|
" [2931576],\n",
|
|
" [2757341],\n",
|
|
" [2757315],\n",
|
|
" [2756054],\n",
|
|
" [2747065],\n",
|
|
" [2741160],\n",
|
|
" [2741141],\n",
|
|
" [2739440],\n",
|
|
" [2739142],\n",
|
|
" [2732127],\n",
|
|
" [2726014],\n",
|
|
" [2719181],\n",
|
|
" [2714728],\n",
|
|
" [2713416],\n",
|
|
" [2703870],\n",
|
|
" [2703847],\n",
|
|
" [2693132],\n",
|
|
" [2692971],\n",
|
|
" [2670790],\n",
|
|
" [2571598],\n",
|
|
" [2571316],\n",
|
|
" [2567877],\n",
|
|
" [2537910]]),\n",
|
|
" array([[2931762],\n",
|
|
" [2931576],\n",
|
|
" [2929840],\n",
|
|
" [2929636],\n",
|
|
" [2929072],\n",
|
|
" [2920687],\n",
|
|
" [2913378],\n",
|
|
" [2913365],\n",
|
|
" [2912553],\n",
|
|
" [2899896],\n",
|
|
" [2895919],\n",
|
|
" [2892088],\n",
|
|
" [2880892],\n",
|
|
" [2880433],\n",
|
|
" [2880409],\n",
|
|
" [2879336],\n",
|
|
" [2878886],\n",
|
|
" [2878390],\n",
|
|
" [2856325],\n",
|
|
" [2849767],\n",
|
|
" [2685993],\n",
|
|
" [2655841],\n",
|
|
" [2655823],\n",
|
|
" [2554906],\n",
|
|
" [2553815],\n",
|
|
" [2553785],\n",
|
|
" [2553719],\n",
|
|
" [2552732],\n",
|
|
" [2552035],\n",
|
|
" [2551627],\n",
|
|
" [2551614],\n",
|
|
" [2551602],\n",
|
|
" [2551538],\n",
|
|
" [2551365],\n",
|
|
" [2549458],\n",
|
|
" [2546573],\n",
|
|
" [2545218],\n",
|
|
" [2516761],\n",
|
|
" [2516542]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2931328],\n",
|
|
" [2931279],\n",
|
|
" [2930752],\n",
|
|
" [2930589],\n",
|
|
" [2927754],\n",
|
|
" [2927596],\n",
|
|
" [2927007],\n",
|
|
" [2920595],\n",
|
|
" [2915539],\n",
|
|
" [2913790],\n",
|
|
" [2911933],\n",
|
|
" [2911865],\n",
|
|
" [2911810],\n",
|
|
" [2910809],\n",
|
|
" [2910790],\n",
|
|
" [2910774],\n",
|
|
" [2910142],\n",
|
|
" [2908835],\n",
|
|
" [2908438],\n",
|
|
" [2907095],\n",
|
|
" [2899238],\n",
|
|
" [2899098],\n",
|
|
" [2898956],\n",
|
|
" [2897512],\n",
|
|
" [2821347],\n",
|
|
" [2820361],\n",
|
|
" [2806996],\n",
|
|
" [2806729],\n",
|
|
" [2804566],\n",
|
|
" [2721633],\n",
|
|
" [2721607],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2719546],\n",
|
|
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|
|
" [2717537],\n",
|
|
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|
|
" [2716958],\n",
|
|
" [2716941],\n",
|
|
" [2716750],\n",
|
|
" [2716583],\n",
|
|
" [2716312],\n",
|
|
" [2715877],\n",
|
|
" [2715691],\n",
|
|
" [2715419],\n",
|
|
" [2715374],\n",
|
|
" [2715154],\n",
|
|
" [2714673],\n",
|
|
" [2714356],\n",
|
|
" [2713974],\n",
|
|
" [2713260],\n",
|
|
" [2713206],\n",
|
|
" [2713083],\n",
|
|
" [2712990],\n",
|
|
" [2712875],\n",
|
|
" [2712454],\n",
|
|
" [2712421],\n",
|
|
" [2711937],\n",
|
|
" [2711680],\n",
|
|
" [2711423],\n",
|
|
" [2710870],\n",
|
|
" [2710652],\n",
|
|
" [2710460],\n",
|
|
" [2710284],\n",
|
|
" [2710216],\n",
|
|
" [2709550],\n",
|
|
" [2709072],\n",
|
|
" [2708591],\n",
|
|
" [2708331],\n",
|
|
" [2708130],\n",
|
|
" [2707552],\n",
|
|
" [2707248],\n",
|
|
" [2706778],\n",
|
|
" [2706456],\n",
|
|
" [2706099],\n",
|
|
" [2705847],\n",
|
|
" [2705119],\n",
|
|
" [2704505],\n",
|
|
" [2703636],\n",
|
|
" [2702493],\n",
|
|
" [2702014],\n",
|
|
" [2701717],\n",
|
|
" [2701696],\n",
|
|
" [2701643],\n",
|
|
" [2701594],\n",
|
|
" [2701301],\n",
|
|
" [2700898],\n",
|
|
" [2700830],\n",
|
|
" [2700648],\n",
|
|
" [2698094],\n",
|
|
" [2697984],\n",
|
|
" [2697691],\n",
|
|
" [2694747],\n",
|
|
" [2605257],\n",
|
|
" [2605154],\n",
|
|
" [2605095],\n",
|
|
" [2605013],\n",
|
|
" [2601182],\n",
|
|
" [2601156],\n",
|
|
" [2601126],\n",
|
|
" [2600667],\n",
|
|
" [2596121],\n",
|
|
" [2595984],\n",
|
|
" [2587798],\n",
|
|
" [2587767],\n",
|
|
" [2586715],\n",
|
|
" [2586690],\n",
|
|
" [2461402],\n",
|
|
" [2459081],\n",
|
|
" [2459043],\n",
|
|
" [2458356],\n",
|
|
" [2375204],\n",
|
|
" [2375158],\n",
|
|
" [2368379],\n",
|
|
" [2364337],\n",
|
|
" [2363391]]),\n",
|
|
" array([[2930333]]),\n",
|
|
" array([[2931792]]),\n",
|
|
" array([[2931792]]),\n",
|
|
" array([[2929222],\n",
|
|
" [2896363],\n",
|
|
" [2896232],\n",
|
|
" [2545748],\n",
|
|
" [2523034],\n",
|
|
" [2510516],\n",
|
|
" [2363039],\n",
|
|
" [2362280],\n",
|
|
" [2346939],\n",
|
|
" [2346653],\n",
|
|
" [2346575],\n",
|
|
" [2346487],\n",
|
|
" [2345731],\n",
|
|
" [2344102],\n",
|
|
" [2343551],\n",
|
|
" [2343492],\n",
|
|
" [2343368],\n",
|
|
" [2343347],\n",
|
|
" [2342058],\n",
|
|
" [2342031],\n",
|
|
" [2341358],\n",
|
|
" [2335301],\n",
|
|
" [2333487],\n",
|
|
" [2328546],\n",
|
|
" [2328476],\n",
|
|
" [2324347],\n",
|
|
" [2318697],\n",
|
|
" [2318360],\n",
|
|
" [2315102],\n",
|
|
" [2314829],\n",
|
|
" [2314656],\n",
|
|
" [2314127],\n",
|
|
" [2313848],\n",
|
|
" [2313809],\n",
|
|
" [2308211],\n",
|
|
" [2304924],\n",
|
|
" [2303738],\n",
|
|
" [2302617],\n",
|
|
" [2302401],\n",
|
|
" [2249936],\n",
|
|
" [2249227],\n",
|
|
" [2247071],\n",
|
|
" [2246710],\n",
|
|
" [2240886],\n",
|
|
" [2239720],\n",
|
|
" [2239647],\n",
|
|
" [1908817],\n",
|
|
" [1908322],\n",
|
|
" [1908219]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2931117],\n",
|
|
" [2930738],\n",
|
|
" [2930284],\n",
|
|
" [2929420],\n",
|
|
" [2929046],\n",
|
|
" [2926661],\n",
|
|
" [2924498],\n",
|
|
" [2920582],\n",
|
|
" [2920127],\n",
|
|
" [2901691],\n",
|
|
" [2862542],\n",
|
|
" [2858835]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2931624],\n",
|
|
" [2924946],\n",
|
|
" [2910199],\n",
|
|
" [2888671],\n",
|
|
" [2884399],\n",
|
|
" [2884179],\n",
|
|
" [2867784],\n",
|
|
" [2855569],\n",
|
|
" [2853558],\n",
|
|
" [1781328],\n",
|
|
" [1779566],\n",
|
|
" [1779241],\n",
|
|
" [1779120],\n",
|
|
" [1773921],\n",
|
|
" [1743740],\n",
|
|
" [1742612],\n",
|
|
" [1701547],\n",
|
|
" [1701062],\n",
|
|
" [1694310],\n",
|
|
" [1693980],\n",
|
|
" [1693961],\n",
|
|
" [1652701]]),\n",
|
|
" array([[2930333]]),\n",
|
|
" array([[2929222],\n",
|
|
" [2927830],\n",
|
|
" [2927304],\n",
|
|
" [2926688],\n",
|
|
" [2926496],\n",
|
|
" [2926051],\n",
|
|
" [2925689],\n",
|
|
" [2925146],\n",
|
|
" [2924637],\n",
|
|
" [2924120],\n",
|
|
" [2923818],\n",
|
|
" [2923346],\n",
|
|
" [2923211],\n",
|
|
" [2922986],\n",
|
|
" [2922278],\n",
|
|
" [2921843],\n",
|
|
" [2921734],\n",
|
|
" [2921700],\n",
|
|
" [2921459],\n",
|
|
" [2920972],\n",
|
|
" [2918747],\n",
|
|
" [2917952],\n",
|
|
" [2917697],\n",
|
|
" [2917416],\n",
|
|
" [2917191],\n",
|
|
" [2917080],\n",
|
|
" [2916779],\n",
|
|
" [2916366],\n",
|
|
" [2916241],\n",
|
|
" [2911709],\n",
|
|
" [2911596],\n",
|
|
" [2911504],\n",
|
|
" [2904634],\n",
|
|
" [2903845],\n",
|
|
" [2902198],\n",
|
|
" [2892181],\n",
|
|
" [2891373],\n",
|
|
" [2891250],\n",
|
|
" [2808591],\n",
|
|
" [2806540],\n",
|
|
" [2767275],\n",
|
|
" [2761930],\n",
|
|
" [2358324],\n",
|
|
" [2358154],\n",
|
|
" [2357543],\n",
|
|
" [2320771],\n",
|
|
" [2319543],\n",
|
|
" [2319014],\n",
|
|
" [2318913],\n",
|
|
" [2310778],\n",
|
|
" [2303737],\n",
|
|
" [2300684],\n",
|
|
" [2300008],\n",
|
|
" [2297144],\n",
|
|
" [2297041],\n",
|
|
" [2277619],\n",
|
|
" [2271549],\n",
|
|
" [2270216],\n",
|
|
" [2269975],\n",
|
|
" [2254968],\n",
|
|
" [2254912],\n",
|
|
" [2254855],\n",
|
|
" [2253981],\n",
|
|
" [2219269],\n",
|
|
" [2216980],\n",
|
|
" [2216506],\n",
|
|
" [2216273],\n",
|
|
" [2154527],\n",
|
|
" [2154506],\n",
|
|
" [2150844],\n",
|
|
" [2138010],\n",
|
|
" [2137892],\n",
|
|
" [2137105],\n",
|
|
" [2136808],\n",
|
|
" [2134614],\n",
|
|
" [2134097],\n",
|
|
" [2133918],\n",
|
|
" [2131328],\n",
|
|
" [2131147],\n",
|
|
" [2130356],\n",
|
|
" [2130293],\n",
|
|
" [2130249],\n",
|
|
" [2125499],\n",
|
|
" [2123506],\n",
|
|
" [2123164],\n",
|
|
" [2123131],\n",
|
|
" [2117816],\n",
|
|
" [2117716],\n",
|
|
" [2115917],\n",
|
|
" [2104219],\n",
|
|
" [2104068],\n",
|
|
" [2104017],\n",
|
|
" [2102918],\n",
|
|
" [2102885],\n",
|
|
" [2102718],\n",
|
|
" [2101634],\n",
|
|
" [2099756],\n",
|
|
" [2099745],\n",
|
|
" [2005853],\n",
|
|
" [1998024],\n",
|
|
" [1996570],\n",
|
|
" [1993908]]),\n",
|
|
" array([[2929222],\n",
|
|
" [2928812],\n",
|
|
" [2928789],\n",
|
|
" [2928613],\n",
|
|
" [2928371],\n",
|
|
" [2927933],\n",
|
|
" [2926883],\n",
|
|
" [2918025],\n",
|
|
" [2902879],\n",
|
|
" [2878949],\n",
|
|
" [2877364],\n",
|
|
" [2877343],\n",
|
|
" [2875322],\n",
|
|
" [2874505],\n",
|
|
" [2873378],\n",
|
|
" [2873333],\n",
|
|
" [2599080],\n",
|
|
" [2596620],\n",
|
|
" [2501705],\n",
|
|
" [2500370],\n",
|
|
" [2436949],\n",
|
|
" [2436494],\n",
|
|
" [2436401],\n",
|
|
" [2436240],\n",
|
|
" [2435183],\n",
|
|
" [2434666],\n",
|
|
" [2434304],\n",
|
|
" [2422139],\n",
|
|
" [2419216],\n",
|
|
" [2416632],\n",
|
|
" [2416471],\n",
|
|
" [2416076],\n",
|
|
" [2415841],\n",
|
|
" [2415803],\n",
|
|
" [2411209],\n",
|
|
" [2411046],\n",
|
|
" [2410560],\n",
|
|
" [2410547],\n",
|
|
" [2410488],\n",
|
|
" [2410477],\n",
|
|
" [2408556],\n",
|
|
" [2178696],\n",
|
|
" [2178619],\n",
|
|
" [2098898],\n",
|
|
" [2061257],\n",
|
|
" [2060363],\n",
|
|
" [2055962],\n",
|
|
" [2053644],\n",
|
|
" [2053534],\n",
|
|
" [2052942],\n",
|
|
" [2052338],\n",
|
|
" [2051113],\n",
|
|
" [2043717],\n",
|
|
" [2027560],\n",
|
|
" [2026888]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2858620],\n",
|
|
" [2850008],\n",
|
|
" [2849815],\n",
|
|
" [2849799],\n",
|
|
" [2258032],\n",
|
|
" [2254883],\n",
|
|
" [2244028],\n",
|
|
" [2243690],\n",
|
|
" [2241924],\n",
|
|
" [2239106],\n",
|
|
" [2238474],\n",
|
|
" [2238404],\n",
|
|
" [2238011],\n",
|
|
" [2237944],\n",
|
|
" [2163979],\n",
|
|
" [2162523],\n",
|
|
" [2162456],\n",
|
|
" [2162425],\n",
|
|
" [2162413],\n",
|
|
" [2159106],\n",
|
|
" [2158728],\n",
|
|
" [2149958],\n",
|
|
" [2149376],\n",
|
|
" [2110711],\n",
|
|
" [2109069],\n",
|
|
" [2069753],\n",
|
|
" [2062965],\n",
|
|
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|
|
" [2060405],\n",
|
|
" [2060265],\n",
|
|
" [2060038],\n",
|
|
" [2003991],\n",
|
|
" [2000056],\n",
|
|
" [1999812]]),\n",
|
|
" array([[2912525],\n",
|
|
" [2912413],\n",
|
|
" [2912144],\n",
|
|
" [2911481],\n",
|
|
" [2688542],\n",
|
|
" [2688041],\n",
|
|
" [2687356],\n",
|
|
" [2686316],\n",
|
|
" [2683387]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2924335],\n",
|
|
" [2924308],\n",
|
|
" [2924265],\n",
|
|
" [2915099],\n",
|
|
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|
|
" [2914789],\n",
|
|
" [2914461],\n",
|
|
" [2914373],\n",
|
|
" [2914002],\n",
|
|
" [2913778],\n",
|
|
" [2913583],\n",
|
|
" [2908292]]),\n",
|
|
" array([[2931762],\n",
|
|
" [2931711],\n",
|
|
" [2918956]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2927930],\n",
|
|
" [2927577],\n",
|
|
" [2927551],\n",
|
|
" [2926911],\n",
|
|
" [2926895],\n",
|
|
" [2926775],\n",
|
|
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|
|
" [2926187],\n",
|
|
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|
|
" [2923686],\n",
|
|
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|
|
" [2923607],\n",
|
|
" [2923532],\n",
|
|
" [2918475],\n",
|
|
" [2916744],\n",
|
|
" [2916720],\n",
|
|
" [2904786],\n",
|
|
" [2872675]]),\n",
|
|
" array([[2931857],\n",
|
|
" [2931570],\n",
|
|
" [2929181],\n",
|
|
" [2900849],\n",
|
|
" [2900455],\n",
|
|
" [2900420],\n",
|
|
" [2900405],\n",
|
|
" [2891519],\n",
|
|
" [2891135],\n",
|
|
" [2879749],\n",
|
|
" [2879028],\n",
|
|
" [2878815]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2931724],\n",
|
|
" [2931704],\n",
|
|
" [2778701],\n",
|
|
" [2773137],\n",
|
|
" [2773054]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2930162],\n",
|
|
" [2648445],\n",
|
|
" [2648154],\n",
|
|
" [2646005]]),\n",
|
|
" array([[2930333]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2912525],\n",
|
|
" [2906415],\n",
|
|
" [2905836],\n",
|
|
" [2153970],\n",
|
|
" [2151902],\n",
|
|
" [2151790],\n",
|
|
" [2151733],\n",
|
|
" [2148746],\n",
|
|
" [2137453],\n",
|
|
" [2137202],\n",
|
|
" [2127096],\n",
|
|
" [2103850],\n",
|
|
" [2096546],\n",
|
|
" [2096255],\n",
|
|
" [2096206],\n",
|
|
" [2082237],\n",
|
|
" [1860948],\n",
|
|
" [1860521],\n",
|
|
" [1860381],\n",
|
|
" [1859713],\n",
|
|
" [1858100],\n",
|
|
" [1851851],\n",
|
|
" [1851730],\n",
|
|
" [1839453],\n",
|
|
" [1838829],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1814004],\n",
|
|
" [1813990],\n",
|
|
" [1813841],\n",
|
|
" [1772680],\n",
|
|
" [1765874]]),\n",
|
|
" array([[2930333]]),\n",
|
|
" array([[2930333]]),\n",
|
|
" array([[2931807],\n",
|
|
" [2931765],\n",
|
|
" [2931271],\n",
|
|
" [2931028],\n",
|
|
" [2887788],\n",
|
|
" [2887289],\n",
|
|
" [2881764],\n",
|
|
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|
|
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|
|
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|
|
" [2417534],\n",
|
|
" [2413067],\n",
|
|
" [2365747],\n",
|
|
" [2361971],\n",
|
|
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|
|
" [2361715],\n",
|
|
" [2361541],\n",
|
|
" [2361529],\n",
|
|
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|
|
" [2355429],\n",
|
|
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|
|
" [2353474],\n",
|
|
" [2353416],\n",
|
|
" [2338044],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2321347],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2092652],\n",
|
|
" [2091400],\n",
|
|
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|
|
" [2077545],\n",
|
|
" [2023427],\n",
|
|
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|
|
" [2018208],\n",
|
|
" [2013594],\n",
|
|
" [2013556],\n",
|
|
" [2013487],\n",
|
|
" [2013313],\n",
|
|
" [2010837]]),\n",
|
|
" array([[2931792]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2924305],\n",
|
|
" [2924289],\n",
|
|
" [2924276],\n",
|
|
" [2922460],\n",
|
|
" [2922328],\n",
|
|
" [2922301],\n",
|
|
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|
|
" [2919863],\n",
|
|
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|
|
" [2849646],\n",
|
|
" [2823840],\n",
|
|
" [2823785],\n",
|
|
" [2823615],\n",
|
|
" [2823556],\n",
|
|
" [2812338],\n",
|
|
" [2812308],\n",
|
|
" [2811822],\n",
|
|
" [2722026],\n",
|
|
" [2702534],\n",
|
|
" [2600563],\n",
|
|
" [2600359]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2931823],\n",
|
|
" [2931555],\n",
|
|
" [2927617],\n",
|
|
" [2927594],\n",
|
|
" [2922386],\n",
|
|
" [2921904],\n",
|
|
" [2921462],\n",
|
|
" [2920795],\n",
|
|
" [2920575],\n",
|
|
" [2914527],\n",
|
|
" [1933136],\n",
|
|
" [1932962]]),\n",
|
|
" array([[2926085],\n",
|
|
" [2921541],\n",
|
|
" [2921159],\n",
|
|
" [2920950],\n",
|
|
" [2920934],\n",
|
|
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|
|
" [2824614],\n",
|
|
" [2824254],\n",
|
|
" [2824180],\n",
|
|
" [2819761],\n",
|
|
" [2810426],\n",
|
|
" [2809575]]),\n",
|
|
" array([[2931526],\n",
|
|
" [2931300],\n",
|
|
" [2073811],\n",
|
|
" [2073797],\n",
|
|
" [2073785],\n",
|
|
" [2049240],\n",
|
|
" [2049229],\n",
|
|
" [2049213],\n",
|
|
" [2048850],\n",
|
|
" [2035968],\n",
|
|
" [2035946],\n",
|
|
" [2035398],\n",
|
|
" [1993961],\n",
|
|
" [1984963],\n",
|
|
" [1981840],\n",
|
|
" [1978995]]),\n",
|
|
" array([[2928462],\n",
|
|
" [2911180],\n",
|
|
" [2911093],\n",
|
|
" [2897172],\n",
|
|
" [2721564],\n",
|
|
" [2721453],\n",
|
|
" [2720705],\n",
|
|
" [2720443],\n",
|
|
" [2579128],\n",
|
|
" [2550291],\n",
|
|
" [2544852],\n",
|
|
" [2544270],\n",
|
|
" [2283776],\n",
|
|
" [2283498],\n",
|
|
" [2247359],\n",
|
|
" [2244841],\n",
|
|
" [2244815],\n",
|
|
" [2244442],\n",
|
|
" [2244420],\n",
|
|
" [2244275],\n",
|
|
" [2244128],\n",
|
|
" [2243941],\n",
|
|
" [2243746],\n",
|
|
" [2242831],\n",
|
|
" [2242333],\n",
|
|
" [2241607],\n",
|
|
" [2241234],\n",
|
|
" [2238390],\n",
|
|
" [2205369],\n",
|
|
" [2198984],\n",
|
|
" [2198945],\n",
|
|
" [2198890],\n",
|
|
" [2198764],\n",
|
|
" [2198714],\n",
|
|
" [2198621],\n",
|
|
" [2195263],\n",
|
|
" [2195243],\n",
|
|
" [2070677],\n",
|
|
" [2070651],\n",
|
|
" [2061636],\n",
|
|
" [2061564],\n",
|
|
" [2055710],\n",
|
|
" [2055031],\n",
|
|
" [2050011],\n",
|
|
" [2013587],\n",
|
|
" [2011911],\n",
|
|
" [2011833],\n",
|
|
" [2007734],\n",
|
|
" [2005769],\n",
|
|
" [2005631],\n",
|
|
" [2002849],\n",
|
|
" [1853945],\n",
|
|
" [1853906],\n",
|
|
" [1853800],\n",
|
|
" [1853626],\n",
|
|
" [1853384],\n",
|
|
" [1850401],\n",
|
|
" [1849950]]),\n",
|
|
" array([[2931392],\n",
|
|
" [2877259],\n",
|
|
" [2877121],\n",
|
|
" [2873556],\n",
|
|
" [2873389]]),\n",
|
|
" array([[2931526],\n",
|
|
" [2918390],\n",
|
|
" [2890877],\n",
|
|
" [2890844],\n",
|
|
" [2884374]]),\n",
|
|
" array([[2931630],\n",
|
|
" [2929373],\n",
|
|
" [2928835],\n",
|
|
" [2927304],\n",
|
|
" [2926815],\n",
|
|
" [2926784],\n",
|
|
" [2913521],\n",
|
|
" [2911960],\n",
|
|
" [2911718],\n",
|
|
" [2911645],\n",
|
|
" [2911423],\n",
|
|
" [2910046],\n",
|
|
" [2910018],\n",
|
|
" [2909494],\n",
|
|
" [2907934],\n",
|
|
" [2907878],\n",
|
|
" [2866458],\n",
|
|
" [2865945],\n",
|
|
" [2865919],\n",
|
|
" [2849733],\n",
|
|
" [2849647],\n",
|
|
" [2848040],\n",
|
|
" [2847600],\n",
|
|
" [2847535],\n",
|
|
" [2845646],\n",
|
|
" [2834042],\n",
|
|
" [2833933],\n",
|
|
" [2833908],\n",
|
|
" [2833882],\n",
|
|
" [2833285],\n",
|
|
" [2615396],\n",
|
|
" [2606926],\n",
|
|
" [2511290],\n",
|
|
" [2511272],\n",
|
|
" [2511221],\n",
|
|
" [2509677],\n",
|
|
" [2509653],\n",
|
|
" [2491338],\n",
|
|
" [2485574],\n",
|
|
" [2484152],\n",
|
|
" [2476207],\n",
|
|
" [2475539],\n",
|
|
" [2377925],\n",
|
|
" [2375103],\n",
|
|
" [2373209],\n",
|
|
" [2373155],\n",
|
|
" [2303216],\n",
|
|
" [2303200],\n",
|
|
" [2300463],\n",
|
|
" [2297932],\n",
|
|
" [2297887],\n",
|
|
" [2122884]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2931690],\n",
|
|
" [2928708],\n",
|
|
" [2928533],\n",
|
|
" [2928521],\n",
|
|
" [2922527],\n",
|
|
" [2922486],\n",
|
|
" [2921734],\n",
|
|
" [2576541]]),\n",
|
|
" array([[2931630],\n",
|
|
" [2931004],\n",
|
|
" [2929426],\n",
|
|
" [2929410],\n",
|
|
" [2929289],\n",
|
|
" [2765004],\n",
|
|
" [2764340],\n",
|
|
" [2764224],\n",
|
|
" [2763400]]),\n",
|
|
" array([[2926085],\n",
|
|
" [2919617],\n",
|
|
" [2918554],\n",
|
|
" [2918280],\n",
|
|
" [2918217],\n",
|
|
" [2917890]]),\n",
|
|
" array([[2931392],\n",
|
|
" [2921409],\n",
|
|
" [2918349],\n",
|
|
" [2916235],\n",
|
|
" [2913081],\n",
|
|
" [2912373],\n",
|
|
" [2905658],\n",
|
|
" [2905193],\n",
|
|
" [2905040],\n",
|
|
" [2900182],\n",
|
|
" [2900121]]),\n",
|
|
" array([[2926085],\n",
|
|
" [2925928],\n",
|
|
" [2916109],\n",
|
|
" [2915174],\n",
|
|
" [2911328],\n",
|
|
" [2909070],\n",
|
|
" [2909015],\n",
|
|
" [2908628],\n",
|
|
" [2903658],\n",
|
|
" [2903077],\n",
|
|
" [2882604],\n",
|
|
" [2880685],\n",
|
|
" [2880422],\n",
|
|
" [2868932],\n",
|
|
" [2868308],\n",
|
|
" [2853943],\n",
|
|
" [2853728],\n",
|
|
" [2853666],\n",
|
|
" [2853453],\n",
|
|
" [2853048],\n",
|
|
" [2809349],\n",
|
|
" [2690026],\n",
|
|
" [2690010],\n",
|
|
" [2688122],\n",
|
|
" [2687898],\n",
|
|
" [2283786],\n",
|
|
" [2283455],\n",
|
|
" [2283371],\n",
|
|
" [2252447],\n",
|
|
" [2251594],\n",
|
|
" [2251553],\n",
|
|
" [2251538],\n",
|
|
" [2250511],\n",
|
|
" [2250497],\n",
|
|
" [2173984],\n",
|
|
" [2172679],\n",
|
|
" [2172651],\n",
|
|
" [2169093],\n",
|
|
" [2167671],\n",
|
|
" [2167491],\n",
|
|
" [2090304],\n",
|
|
" [2090033],\n",
|
|
" [2089990],\n",
|
|
" [2089889],\n",
|
|
" [2088652],\n",
|
|
" [2088374],\n",
|
|
" [2088055],\n",
|
|
" [1971795],\n",
|
|
" [1971531],\n",
|
|
" [1964707],\n",
|
|
" [1380313],\n",
|
|
" [1332139],\n",
|
|
" [1331687],\n",
|
|
" [1305737],\n",
|
|
" [1305009]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2931869],\n",
|
|
" [2930465],\n",
|
|
" [2930408],\n",
|
|
" [2930318],\n",
|
|
" [2913770],\n",
|
|
" [2910055],\n",
|
|
" [2909914],\n",
|
|
" [2893797],\n",
|
|
" [2893027],\n",
|
|
" [2892942],\n",
|
|
" [2888096],\n",
|
|
" [2887041],\n",
|
|
" [2873812]]),\n",
|
|
" array([[2931630],\n",
|
|
" [2926305],\n",
|
|
" [2924548],\n",
|
|
" [2924163]]),\n",
|
|
" array([[2931908],\n",
|
|
" [2931498],\n",
|
|
" [2930571],\n",
|
|
" [2930546],\n",
|
|
" [2929403],\n",
|
|
" [2929338],\n",
|
|
" [2927836],\n",
|
|
" [2926597],\n",
|
|
" [2925695],\n",
|
|
" [2925341],\n",
|
|
" [2924372],\n",
|
|
" [2921517],\n",
|
|
" [2907708],\n",
|
|
" [2907611],\n",
|
|
" [2907513]]),\n",
|
|
" array([[2931747],\n",
|
|
" [2931736],\n",
|
|
" [2930868],\n",
|
|
" [2930715],\n",
|
|
" [2929841]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2920911],\n",
|
|
" [2920743],\n",
|
|
" [2920687],\n",
|
|
" [2920643],\n",
|
|
" [2920631],\n",
|
|
" [2920499],\n",
|
|
" [2920362],\n",
|
|
" [2811427],\n",
|
|
" [2783205],\n",
|
|
" [2783153],\n",
|
|
" [2781121]]),\n",
|
|
" array([[2931747],\n",
|
|
" [2926214],\n",
|
|
" [2925946],\n",
|
|
" [2924865],\n",
|
|
" [2900065],\n",
|
|
" [2898883],\n",
|
|
" [2829482],\n",
|
|
" [2829267],\n",
|
|
" [2829244],\n",
|
|
" [2822417],\n",
|
|
" [2822401],\n",
|
|
" [2822281],\n",
|
|
" [2822099]]),\n",
|
|
" array([[2928462],\n",
|
|
" [2928079],\n",
|
|
" [2927346],\n",
|
|
" [2927164],\n",
|
|
" [2926956],\n",
|
|
" [2926876],\n",
|
|
" [2691530],\n",
|
|
" [2690544],\n",
|
|
" [2690266],\n",
|
|
" [2690059]]),\n",
|
|
" array([[2930861]]),\n",
|
|
" array([[2926085],\n",
|
|
" [2882902],\n",
|
|
" [2882008],\n",
|
|
" [2881810],\n",
|
|
" [2872026],\n",
|
|
" [2871910],\n",
|
|
" [2850593],\n",
|
|
" [2847230],\n",
|
|
" [2844782],\n",
|
|
" [2843309]]),\n",
|
|
" array([[2931134]]),\n",
|
|
" array([[2928462],\n",
|
|
" [2927548],\n",
|
|
" [2926342]]),\n",
|
|
" array([[2931505],\n",
|
|
" [2931079],\n",
|
|
" [2929889],\n",
|
|
" [2910308],\n",
|
|
" [2910297],\n",
|
|
" [2910194],\n",
|
|
" [2865656],\n",
|
|
" [2861515],\n",
|
|
" [2763651],\n",
|
|
" [2712805]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2931821],\n",
|
|
" [2504116],\n",
|
|
" [2503982],\n",
|
|
" [2503677],\n",
|
|
" [2502384],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2480747],\n",
|
|
" [2415565],\n",
|
|
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|
|
" [2409745],\n",
|
|
" [2409672],\n",
|
|
" [1418474],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [1262512],\n",
|
|
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|
|
" [1251274],\n",
|
|
" [1238661],\n",
|
|
" [1238492],\n",
|
|
" [1237393],\n",
|
|
" [1224499],\n",
|
|
" [1224122],\n",
|
|
" [1222431],\n",
|
|
" [1222260],\n",
|
|
" [1222167],\n",
|
|
" [1218701],\n",
|
|
" [ 147122],\n",
|
|
" [ 144349],\n",
|
|
" [ 141708]]),\n",
|
|
" array([[2928462],\n",
|
|
" [2924409],\n",
|
|
" [2924365],\n",
|
|
" [2924353],\n",
|
|
" [2923947],\n",
|
|
" [2923937],\n",
|
|
" [2923346],\n",
|
|
" [2918890],\n",
|
|
" [2918690],\n",
|
|
" [2918600]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2931727],\n",
|
|
" [2925390],\n",
|
|
" [2925360],\n",
|
|
" [2924574],\n",
|
|
" [2922196],\n",
|
|
" [2922032],\n",
|
|
" [2921543],\n",
|
|
" [2912417],\n",
|
|
" [2909338],\n",
|
|
" [2909093]]),\n",
|
|
" array([[2926085],\n",
|
|
" [2882902],\n",
|
|
" [2882855],\n",
|
|
" [2882629],\n",
|
|
" [2872338],\n",
|
|
" [2830108],\n",
|
|
" [2798644],\n",
|
|
" [2726360],\n",
|
|
" [2725716],\n",
|
|
" [2718596],\n",
|
|
" [2691729],\n",
|
|
" [2687784],\n",
|
|
" [2687770],\n",
|
|
" [1789966],\n",
|
|
" [1785778],\n",
|
|
" [1768268]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2930201],\n",
|
|
" [2921901],\n",
|
|
" [2921790],\n",
|
|
" [2921683],\n",
|
|
" [2919093],\n",
|
|
" [2908184],\n",
|
|
" [2908076],\n",
|
|
" [2908041],\n",
|
|
" [2906066],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2884226],\n",
|
|
" [2884171],\n",
|
|
" [2854247],\n",
|
|
" [2852706],\n",
|
|
" [2606940],\n",
|
|
" [2605683],\n",
|
|
" [2605178],\n",
|
|
" [2601105],\n",
|
|
" [2600963],\n",
|
|
" [2600600],\n",
|
|
" [2600543],\n",
|
|
" [2297430],\n",
|
|
" [2292719],\n",
|
|
" [1879937],\n",
|
|
" [1878574],\n",
|
|
" [1878514]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2931028],\n",
|
|
" [2929705],\n",
|
|
" [2928295],\n",
|
|
" [2928232],\n",
|
|
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|
|
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|
|
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|
|
" [2923113],\n",
|
|
" [2920066],\n",
|
|
" [2919931],\n",
|
|
" [2905788],\n",
|
|
" [2889454],\n",
|
|
" [2887623]]),\n",
|
|
" array([[2931355],\n",
|
|
" [2931275],\n",
|
|
" [2931075],\n",
|
|
" [2931045],\n",
|
|
" [2930858],\n",
|
|
" [2930847],\n",
|
|
" [2928043],\n",
|
|
" [2926866],\n",
|
|
" [2926842],\n",
|
|
" [2922808],\n",
|
|
" [2898437],\n",
|
|
" [2852771],\n",
|
|
" [2852497],\n",
|
|
" [2852430],\n",
|
|
" [2838379],\n",
|
|
" [2838260]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2931522],\n",
|
|
" [2930537],\n",
|
|
" [2930470],\n",
|
|
" [2929876],\n",
|
|
" [2929770],\n",
|
|
" [2928977],\n",
|
|
" [2922290],\n",
|
|
" [2922094],\n",
|
|
" [2922006],\n",
|
|
" [2921826],\n",
|
|
" [2921762],\n",
|
|
" [2921595],\n",
|
|
" [2921571],\n",
|
|
" [2869947],\n",
|
|
" [2869193]]),\n",
|
|
" array([[2931218],\n",
|
|
" [2924638],\n",
|
|
" [2923662],\n",
|
|
" [2923299],\n",
|
|
" [2922720]]),\n",
|
|
" array([[2929683],\n",
|
|
" [2913936],\n",
|
|
" [2874944],\n",
|
|
" [2874819],\n",
|
|
" [2856835],\n",
|
|
" [2856823],\n",
|
|
" [2823418],\n",
|
|
" [2822359],\n",
|
|
" [2816851],\n",
|
|
" [2816613],\n",
|
|
" [2816156],\n",
|
|
" [2813297],\n",
|
|
" [2812489],\n",
|
|
" [2812463],\n",
|
|
" [2808283],\n",
|
|
" [2807824],\n",
|
|
" [2806859],\n",
|
|
" [2670791],\n",
|
|
" [2670495],\n",
|
|
" [2670296],\n",
|
|
" [2670256],\n",
|
|
" [2659129],\n",
|
|
" [2612892]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2929670],\n",
|
|
" [2929640],\n",
|
|
" [2929552],\n",
|
|
" [2929448]]),\n",
|
|
" array([[2931366],\n",
|
|
" [2916714],\n",
|
|
" [2907886],\n",
|
|
" [2856510],\n",
|
|
" [2856460],\n",
|
|
" [2855833],\n",
|
|
" [2806139],\n",
|
|
" [2796427],\n",
|
|
" [2796269],\n",
|
|
" [2795759],\n",
|
|
" [2795620],\n",
|
|
" [2795573],\n",
|
|
" [2795501],\n",
|
|
" [2795384],\n",
|
|
" [2795146],\n",
|
|
" [2794784],\n",
|
|
" [2794753],\n",
|
|
" [2694023],\n",
|
|
" [2693994],\n",
|
|
" [2693845],\n",
|
|
" [2692947],\n",
|
|
" [2691708],\n",
|
|
" [2688047],\n",
|
|
" [2687859],\n",
|
|
" [2687822],\n",
|
|
" [2687172],\n",
|
|
" [2687143],\n",
|
|
" [2686637],\n",
|
|
" [2683609],\n",
|
|
" [2683345],\n",
|
|
" [2675679],\n",
|
|
" [2675659],\n",
|
|
" [2357316],\n",
|
|
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|
|
" [2349485],\n",
|
|
" [2337014],\n",
|
|
" [2336033],\n",
|
|
" [2334134],\n",
|
|
" [2279793],\n",
|
|
" [2279737],\n",
|
|
" [2278741],\n",
|
|
" [2278143],\n",
|
|
" [2271084],\n",
|
|
" [2270909],\n",
|
|
" [2254435],\n",
|
|
" [2253756],\n",
|
|
" [2253731],\n",
|
|
" [2249445],\n",
|
|
" [2249271],\n",
|
|
" [2249150],\n",
|
|
" [2248684],\n",
|
|
" [2247539],\n",
|
|
" [2247450],\n",
|
|
" [2247378],\n",
|
|
" [2247336],\n",
|
|
" [2247255],\n",
|
|
" [2247195],\n",
|
|
" [2245627],\n",
|
|
" [2245551],\n",
|
|
" [2245521],\n",
|
|
" [2245495],\n",
|
|
" [2232168],\n",
|
|
" [2231416],\n",
|
|
" [2207698],\n",
|
|
" [2207502],\n",
|
|
" [2196656],\n",
|
|
" [2196613],\n",
|
|
" [2133927],\n",
|
|
" [2133543],\n",
|
|
" [2133466],\n",
|
|
" [2121230],\n",
|
|
" [2121208],\n",
|
|
" [2109906],\n",
|
|
" [2109697],\n",
|
|
" [2109297],\n",
|
|
" [2106952],\n",
|
|
" [2092470],\n",
|
|
" [2091610],\n",
|
|
" [2091554],\n",
|
|
" [2091249],\n",
|
|
" [2083504],\n",
|
|
" [2083210],\n",
|
|
" [2072522],\n",
|
|
" [2072499],\n",
|
|
" [2072362],\n",
|
|
" [2071038],\n",
|
|
" [2069814],\n",
|
|
" [1481800],\n",
|
|
" [1477337],\n",
|
|
" [1477083],\n",
|
|
" [1365235],\n",
|
|
" [1363807]]),\n",
|
|
" array([[2931807],\n",
|
|
" [2930733],\n",
|
|
" [2929673],\n",
|
|
" [2929391],\n",
|
|
" [2918475],\n",
|
|
" [2917356],\n",
|
|
" [2903667],\n",
|
|
" [2903123],\n",
|
|
" [2903076],\n",
|
|
" [2901930],\n",
|
|
" [2889295]]),\n",
|
|
" array([[2931711],\n",
|
|
" [2931185],\n",
|
|
" [2930880],\n",
|
|
" [2928380],\n",
|
|
" [2928341],\n",
|
|
" [2927647],\n",
|
|
" [2916684],\n",
|
|
" [2914740],\n",
|
|
" [2913439]]),\n",
|
|
" array([[2931650],\n",
|
|
" [2927460],\n",
|
|
" [2927347],\n",
|
|
" [2925921],\n",
|
|
" [2910175],\n",
|
|
" [2904196],\n",
|
|
" [2904185],\n",
|
|
" [2904168],\n",
|
|
" [2882727]]),\n",
|
|
" array([[2931366],\n",
|
|
" [2931302],\n",
|
|
" [2913383],\n",
|
|
" [2906785],\n",
|
|
" [2906605],\n",
|
|
" [2881248],\n",
|
|
" [2880895],\n",
|
|
" [2880796],\n",
|
|
" [2880206],\n",
|
|
" [2770666],\n",
|
|
" [2770533],\n",
|
|
" [2769130],\n",
|
|
" [2768571],\n",
|
|
" [2742125]]),\n",
|
|
" array([[2487897],\n",
|
|
" [2485674],\n",
|
|
" [2485301],\n",
|
|
" [2484727],\n",
|
|
" [2484715],\n",
|
|
" [2484164],\n",
|
|
" [2483331],\n",
|
|
" [2482400],\n",
|
|
" [2478756],\n",
|
|
" [2468529],\n",
|
|
" [2468516],\n",
|
|
" [2466347],\n",
|
|
" [2457850],\n",
|
|
" [2232902],\n",
|
|
" [2232889],\n",
|
|
" [2232828],\n",
|
|
" [2232568],\n",
|
|
" [2220828],\n",
|
|
" [2220749],\n",
|
|
" [2219139],\n",
|
|
" [2216722],\n",
|
|
" [2210526],\n",
|
|
" [2141164],\n",
|
|
" [2132646],\n",
|
|
" [2132584],\n",
|
|
" [2132544],\n",
|
|
" [2125921],\n",
|
|
" [2124809]]),\n",
|
|
" array([[2931366],\n",
|
|
" [2929895],\n",
|
|
" [2929047],\n",
|
|
" [2876584],\n",
|
|
" [2872160],\n",
|
|
" [2872138],\n",
|
|
" [2872035],\n",
|
|
" [2828140]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2930340],\n",
|
|
" [2926281],\n",
|
|
" [2926045],\n",
|
|
" [2925772],\n",
|
|
" [2925674],\n",
|
|
" [2775319],\n",
|
|
" [2775258],\n",
|
|
" [2775237],\n",
|
|
" [2601160],\n",
|
|
" [2599120],\n",
|
|
" [2596797],\n",
|
|
" [2596583],\n",
|
|
" [2586884],\n",
|
|
" [2579600],\n",
|
|
" [2579541],\n",
|
|
" [2576930],\n",
|
|
" [2416384],\n",
|
|
" [2206461],\n",
|
|
" [2192509],\n",
|
|
" [2184952],\n",
|
|
" [2133444],\n",
|
|
" [2130318],\n",
|
|
" [2099487],\n",
|
|
" [2099409],\n",
|
|
" [2098667],\n",
|
|
" [2098653],\n",
|
|
" [2095433],\n",
|
|
" [2095339],\n",
|
|
" [2095137],\n",
|
|
" [2047154],\n",
|
|
" [2046996],\n",
|
|
" [2045627],\n",
|
|
" [2005212],\n",
|
|
" [2005097],\n",
|
|
" [1805970],\n",
|
|
" [1798759],\n",
|
|
" [1798269],\n",
|
|
" [1798120],\n",
|
|
" [1759962],\n",
|
|
" [1758946],\n",
|
|
" [1757245],\n",
|
|
" [1756211],\n",
|
|
" [1750945],\n",
|
|
" [1750684],\n",
|
|
" [1748137],\n",
|
|
" [1747853]]),\n",
|
|
" array([[2931878],\n",
|
|
" [2921683],\n",
|
|
" [2921659],\n",
|
|
" [2864050],\n",
|
|
" [2809827],\n",
|
|
" [2802801],\n",
|
|
" [2741646],\n",
|
|
" [2573855],\n",
|
|
" [2305404],\n",
|
|
" [2265393],\n",
|
|
" [2226470],\n",
|
|
" [2226453],\n",
|
|
" [2226164],\n",
|
|
" [1879951],\n",
|
|
" [1856374],\n",
|
|
" [1854087],\n",
|
|
" [1853823],\n",
|
|
" [1853166],\n",
|
|
" [1853142],\n",
|
|
" [1852792],\n",
|
|
" [1847276],\n",
|
|
" [1808620]]),\n",
|
|
" array([[2931366],\n",
|
|
" [2897036],\n",
|
|
" [2896778],\n",
|
|
" [2896192],\n",
|
|
" [2866376],\n",
|
|
" [2814117],\n",
|
|
" [2810807],\n",
|
|
" [2736741],\n",
|
|
" [2677261],\n",
|
|
" [2677240],\n",
|
|
" [2478082],\n",
|
|
" [2477196],\n",
|
|
" [2469990],\n",
|
|
" [2467791],\n",
|
|
" [2455534],\n",
|
|
" [2454214],\n",
|
|
" [2451102],\n",
|
|
" [2450880],\n",
|
|
" [2443484],\n",
|
|
" [2439988],\n",
|
|
" [2438710],\n",
|
|
" [2437748],\n",
|
|
" [2437485],\n",
|
|
" [2435304],\n",
|
|
" [2382853],\n",
|
|
" [2382832],\n",
|
|
" [2381284],\n",
|
|
" [2363682],\n",
|
|
" [2363245],\n",
|
|
" [2359712],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1973379],\n",
|
|
" [1948113],\n",
|
|
" [1947966]]),\n",
|
|
" array([[2931914],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2854382],\n",
|
|
" [2795043]]),\n",
|
|
" array([[2931218],\n",
|
|
" [2929871],\n",
|
|
" [2929768],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2880081],\n",
|
|
" [2873046],\n",
|
|
" [2872831]]),\n",
|
|
" array([[2931355],\n",
|
|
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|
|
" [2926449],\n",
|
|
" [2925124],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2516307],\n",
|
|
" [2516140],\n",
|
|
" [2515885]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2930853]]),\n",
|
|
" array([[2931711],\n",
|
|
" [2931467],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2921738],\n",
|
|
" [2921634],\n",
|
|
" [2918706]]),\n",
|
|
" array([[2931650],\n",
|
|
" [2927460],\n",
|
|
" [2927088],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2150700],\n",
|
|
" [2150186],\n",
|
|
" [2150114],\n",
|
|
" [2148769],\n",
|
|
" [2148580]]),\n",
|
|
" array([[2487897],\n",
|
|
" [2487044],\n",
|
|
" [2399961],\n",
|
|
" [2380251],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2069590],\n",
|
|
" [2055822],\n",
|
|
" [2014370],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1759639],\n",
|
|
" [1747769],\n",
|
|
" [1747736],\n",
|
|
" [1730594]]),\n",
|
|
" array([[2931366],\n",
|
|
" [2931104],\n",
|
|
" [2930905],\n",
|
|
" [2930841],\n",
|
|
" [2930652],\n",
|
|
" [2930108]]),\n",
|
|
" array([[2931878],\n",
|
|
" [2931263],\n",
|
|
" [2928388],\n",
|
|
" [2928289],\n",
|
|
" [2859389],\n",
|
|
" [2859342],\n",
|
|
" [2852859]]),\n",
|
|
" array([[2487897],\n",
|
|
" [2468733],\n",
|
|
" [2468139],\n",
|
|
" [2467956],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2440041],\n",
|
|
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|
|
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|
|
" [2436337],\n",
|
|
" [2435221],\n",
|
|
" [2405758],\n",
|
|
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|
|
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|
|
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|
|
" [2403582],\n",
|
|
" [2403070],\n",
|
|
" [2401529],\n",
|
|
" [2003453],\n",
|
|
" [2003420],\n",
|
|
" [1981972],\n",
|
|
" [1979811]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2931542],\n",
|
|
" [2931520],\n",
|
|
" [2922318],\n",
|
|
" [2919999],\n",
|
|
" [2843171],\n",
|
|
" [2843104],\n",
|
|
" [2842582]]),\n",
|
|
" array([[2931355],\n",
|
|
" [2930044],\n",
|
|
" [2925762],\n",
|
|
" [2925657],\n",
|
|
" [2925457],\n",
|
|
" [2868771],\n",
|
|
" [2862813],\n",
|
|
" [2862580],\n",
|
|
" [2862517]]),\n",
|
|
" array([[2929683],\n",
|
|
" [2926707],\n",
|
|
" [2923945],\n",
|
|
" [2923896],\n",
|
|
" [2923884],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2849127],\n",
|
|
" [2849085],\n",
|
|
" [2848168],\n",
|
|
" [2833752]]),\n",
|
|
" array([[2930634],\n",
|
|
" [2930584],\n",
|
|
" [2930073],\n",
|
|
" [2924323],\n",
|
|
" [2922619],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2756797],\n",
|
|
" [2739765],\n",
|
|
" [2739752],\n",
|
|
" [2739694],\n",
|
|
" [2739549]]),\n",
|
|
" array([[2487897],\n",
|
|
" [2487551],\n",
|
|
" [2486999],\n",
|
|
" [2354447],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2177229],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2169641],\n",
|
|
" [2164553],\n",
|
|
" [2163779],\n",
|
|
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|
|
" [2158173],\n",
|
|
" [2154704],\n",
|
|
" [2154693],\n",
|
|
" [2144958],\n",
|
|
" [2144932],\n",
|
|
" [2142353],\n",
|
|
" [2138128],\n",
|
|
" [2137918],\n",
|
|
" [2135179],\n",
|
|
" [2134527],\n",
|
|
" [1929283],\n",
|
|
" [1919345],\n",
|
|
" [1918112]]),\n",
|
|
" array([[2931587],\n",
|
|
" [2930471],\n",
|
|
" [2930392],\n",
|
|
" [2929438],\n",
|
|
" [2929154],\n",
|
|
" [2880590],\n",
|
|
" [2880153]]),\n",
|
|
" array([[2928327],\n",
|
|
" [2926808],\n",
|
|
" [2923226],\n",
|
|
" [2921698],\n",
|
|
" [2921670],\n",
|
|
" [2921024],\n",
|
|
" [2917691],\n",
|
|
" [2724503],\n",
|
|
" [2015700],\n",
|
|
" [2003192]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2929925],\n",
|
|
" [2916046],\n",
|
|
" [2916003],\n",
|
|
" [2905757],\n",
|
|
" [2905651],\n",
|
|
" [2905498],\n",
|
|
" [2905131],\n",
|
|
" [2905105],\n",
|
|
" [2900918],\n",
|
|
" [2872393],\n",
|
|
" [2872382],\n",
|
|
" [2872254],\n",
|
|
" [2872235],\n",
|
|
" [2844603],\n",
|
|
" [2837801],\n",
|
|
" [2837224],\n",
|
|
" [2836755]]),\n",
|
|
" array([[2931488],\n",
|
|
" [2931066],\n",
|
|
" [2930837],\n",
|
|
" [2930816],\n",
|
|
" [2928099],\n",
|
|
" [2842662],\n",
|
|
" [2842601],\n",
|
|
" [2842326],\n",
|
|
" [2842077],\n",
|
|
" [2841336],\n",
|
|
" [2841278],\n",
|
|
" [2841140],\n",
|
|
" [2840472]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2931204],\n",
|
|
" [2930921],\n",
|
|
" [2930056],\n",
|
|
" [1874151],\n",
|
|
" [1748035],\n",
|
|
" [1744268],\n",
|
|
" [1743890]]),\n",
|
|
" array([[2929460],\n",
|
|
" [2929387],\n",
|
|
" [2928432],\n",
|
|
" [2926753],\n",
|
|
" [2268017],\n",
|
|
" [2267026],\n",
|
|
" [2266979],\n",
|
|
" [2266547],\n",
|
|
" [2253417],\n",
|
|
" [2253283],\n",
|
|
" [2253222],\n",
|
|
" [2253208],\n",
|
|
" [2251935],\n",
|
|
" [2251023],\n",
|
|
" [2250764],\n",
|
|
" [2250555],\n",
|
|
" [2249613],\n",
|
|
" [2249057],\n",
|
|
" [2244384],\n",
|
|
" [2243898],\n",
|
|
" [2217841],\n",
|
|
" [2217801],\n",
|
|
" [2214980],\n",
|
|
" [2204074],\n",
|
|
" [2200017],\n",
|
|
" [2199569],\n",
|
|
" [2199542],\n",
|
|
" [2199504],\n",
|
|
" [1812480],\n",
|
|
" [1776660],\n",
|
|
" [1758346],\n",
|
|
" [1689012]]),\n",
|
|
" array([[2927346],\n",
|
|
" [2926946],\n",
|
|
" [2925967],\n",
|
|
" [2925853],\n",
|
|
" [2783870],\n",
|
|
" [2783830],\n",
|
|
" [2783284],\n",
|
|
" [2780141],\n",
|
|
" [2779974],\n",
|
|
" [2777658],\n",
|
|
" [2777491]]),\n",
|
|
" array([[2929970],\n",
|
|
" [2929153],\n",
|
|
" [2928285]]),\n",
|
|
" array([[2931587],\n",
|
|
" [2931433],\n",
|
|
" [2879428],\n",
|
|
" [2876527],\n",
|
|
" [2876421],\n",
|
|
" [2873477],\n",
|
|
" [2873422],\n",
|
|
" [2872159],\n",
|
|
" [2871677]]),\n",
|
|
" array([[2931795],\n",
|
|
" [2904964],\n",
|
|
" [2901238],\n",
|
|
" [2879299],\n",
|
|
" [2870861],\n",
|
|
" [2851155],\n",
|
|
" [2820335],\n",
|
|
" [2814382],\n",
|
|
" [2814334],\n",
|
|
" [2803154]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2930654],\n",
|
|
" [2930463],\n",
|
|
" [2930372],\n",
|
|
" [2929026],\n",
|
|
" [2928317],\n",
|
|
" [2928004],\n",
|
|
" [2926677],\n",
|
|
" [2926114],\n",
|
|
" [2925640],\n",
|
|
" [2914517],\n",
|
|
" [2914466],\n",
|
|
" [2914325],\n",
|
|
" [2913889],\n",
|
|
" [2901756],\n",
|
|
" [2901028]]),\n",
|
|
" array([[2931850],\n",
|
|
" [2922057],\n",
|
|
" [2896076],\n",
|
|
" [2895920],\n",
|
|
" [2895739],\n",
|
|
" [2895723],\n",
|
|
" [2894190],\n",
|
|
" [2894149],\n",
|
|
" [2894063],\n",
|
|
" [2892325],\n",
|
|
" [2892271],\n",
|
|
" [2892242],\n",
|
|
" [2660187],\n",
|
|
" [2659719],\n",
|
|
" [2658624],\n",
|
|
" [2658571],\n",
|
|
" [2657927]]),\n",
|
|
" array([[2931008],\n",
|
|
" [2930693],\n",
|
|
" [2916873],\n",
|
|
" [2916782],\n",
|
|
" [2916236],\n",
|
|
" [2916109],\n",
|
|
" [2621275],\n",
|
|
" [2621114],\n",
|
|
" [2610491],\n",
|
|
" [2610320]]),\n",
|
|
" array([[2931673],\n",
|
|
" [2915329],\n",
|
|
" [2908720],\n",
|
|
" [2908219],\n",
|
|
" [2829697],\n",
|
|
" [2567084],\n",
|
|
" [2566839],\n",
|
|
" [2564034],\n",
|
|
" [2557923],\n",
|
|
" [2557886],\n",
|
|
" [2458221],\n",
|
|
" [2455894],\n",
|
|
" [2454123],\n",
|
|
" [2451759],\n",
|
|
" [2407970],\n",
|
|
" [2403603],\n",
|
|
" [2403539],\n",
|
|
" [2398203],\n",
|
|
" [2398128],\n",
|
|
" [2382638],\n",
|
|
" [2382592],\n",
|
|
" [2382561],\n",
|
|
" [2375936],\n",
|
|
" [2375841],\n",
|
|
" [2365443],\n",
|
|
" [2365404],\n",
|
|
" [2365026],\n",
|
|
" [2364467],\n",
|
|
" [2364104],\n",
|
|
" [2356913],\n",
|
|
" [2351378],\n",
|
|
" [2343087],\n",
|
|
" [2343049],\n",
|
|
" [2337593],\n",
|
|
" [2337218],\n",
|
|
" [2337165],\n",
|
|
" [2334586],\n",
|
|
" [2319670],\n",
|
|
" [2319616],\n",
|
|
" [2319172],\n",
|
|
" [2319149],\n",
|
|
" [2319117],\n",
|
|
" [2318957],\n",
|
|
" [2314670],\n",
|
|
" [2314656],\n",
|
|
" [2314162],\n",
|
|
" [2310383],\n",
|
|
" [2310200]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2916124],\n",
|
|
" [2915971],\n",
|
|
" [2912248],\n",
|
|
" [2908110],\n",
|
|
" [2908090],\n",
|
|
" [2908041],\n",
|
|
" [2906411],\n",
|
|
" [2905189],\n",
|
|
" [2880810],\n",
|
|
" [2843914]]),\n",
|
|
" array([[2931795],\n",
|
|
" [2931630],\n",
|
|
" [2931100],\n",
|
|
" [2929803],\n",
|
|
" [2929302]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2919921],\n",
|
|
" [2919220],\n",
|
|
" [2916284],\n",
|
|
" [2916160],\n",
|
|
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|
|
" [2911652],\n",
|
|
" [2911633],\n",
|
|
" [2910874]]),\n",
|
|
" array([[2928052],\n",
|
|
" [2926966],\n",
|
|
" [2925722],\n",
|
|
" [2923850],\n",
|
|
" [2923417],\n",
|
|
" [2922044],\n",
|
|
" [2921198]]),\n",
|
|
" array([[2928327],\n",
|
|
" [2927161],\n",
|
|
" [2926176],\n",
|
|
" [2924827],\n",
|
|
" [2921948],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2906338],\n",
|
|
" [2906238],\n",
|
|
" [2906056],\n",
|
|
" [2904809],\n",
|
|
" [2904529]]),\n",
|
|
" array([[2832159]]),\n",
|
|
" array([[2931291],\n",
|
|
" [2929809],\n",
|
|
" [2927324],\n",
|
|
" [2919409],\n",
|
|
" [2913399],\n",
|
|
" [2911496],\n",
|
|
" [2862852]]),\n",
|
|
" array([[2899314],\n",
|
|
" [2897360]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2931766],\n",
|
|
" [2920256],\n",
|
|
" [2913196]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2928167],\n",
|
|
" [2928062],\n",
|
|
" [2928025],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2767988],\n",
|
|
" [2766307],\n",
|
|
" [2765765]]),\n",
|
|
" array([[2637675],\n",
|
|
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|
|
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|
|
" [2633302],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2564250],\n",
|
|
" [2564173],\n",
|
|
" [2363966],\n",
|
|
" [2353840]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2931766],\n",
|
|
" [2929864],\n",
|
|
" [2919721],\n",
|
|
" [2919670],\n",
|
|
" [2915705],\n",
|
|
" [2915185],\n",
|
|
" [2914398],\n",
|
|
" [2891550],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2877599],\n",
|
|
" [2877586],\n",
|
|
" [2868707],\n",
|
|
" [2799960]]),\n",
|
|
" array([[2920887],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2704760],\n",
|
|
" [2704498],\n",
|
|
" [2704464],\n",
|
|
" [2703162]]),\n",
|
|
" array([[2931779],\n",
|
|
" [2927397],\n",
|
|
" [2926889]]),\n",
|
|
" array([[2899314],\n",
|
|
" [2824934],\n",
|
|
" [2821882]]),\n",
|
|
" array([[2931673],\n",
|
|
" [2931608],\n",
|
|
" [2924235],\n",
|
|
" [2923782],\n",
|
|
" [2923076],\n",
|
|
" [2921583],\n",
|
|
" [2907006],\n",
|
|
" [2905709],\n",
|
|
" [2905649]]),\n",
|
|
" array([[2929135],\n",
|
|
" [2928771],\n",
|
|
" [2917278]]),\n",
|
|
" array([[2929734],\n",
|
|
" [2929015],\n",
|
|
" [2926933],\n",
|
|
" [2898022],\n",
|
|
" [2897875],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2529133],\n",
|
|
" [2529116],\n",
|
|
" [2528206]]),\n",
|
|
" array([[2931801],\n",
|
|
" [2931531],\n",
|
|
" [2931488],\n",
|
|
" [2930075],\n",
|
|
" [2929972],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2870663],\n",
|
|
" [2870020],\n",
|
|
" [2863063],\n",
|
|
" [2862024],\n",
|
|
" [2665920]]),\n",
|
|
" array([[2808574]]),\n",
|
|
" array([[2930242]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2931185],\n",
|
|
" [2866278],\n",
|
|
" [2857627],\n",
|
|
" [2793929]]),\n",
|
|
" array([[2930242]]),\n",
|
|
" array([[2922807],\n",
|
|
" [2921962]]),\n",
|
|
" array([[2922807],\n",
|
|
" [2922296],\n",
|
|
" [2922252],\n",
|
|
" [2884515],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1919771],\n",
|
|
" [1919685],\n",
|
|
" [1918966],\n",
|
|
" [1912486],\n",
|
|
" [1911571]]),\n",
|
|
" array([[2930581],\n",
|
|
" [2929247],\n",
|
|
" [2929176],\n",
|
|
" [2928690],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2918360],\n",
|
|
" [2918333],\n",
|
|
" [2918079],\n",
|
|
" [2917711]]),\n",
|
|
" array([[2892622]]),\n",
|
|
" array([[2923945],\n",
|
|
" [2923731],\n",
|
|
" [2921891],\n",
|
|
" [2919356],\n",
|
|
" [2919011],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2907537],\n",
|
|
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|
|
" [2478785],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2324243],\n",
|
|
" [2324198],\n",
|
|
" [2323916],\n",
|
|
" [2323883],\n",
|
|
" [2323298]]),\n",
|
|
" array([[2929135],\n",
|
|
" [2929061],\n",
|
|
" [2928747],\n",
|
|
" [2928231],\n",
|
|
" [2927266],\n",
|
|
" [2851587],\n",
|
|
" [2850666],\n",
|
|
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|
|
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|
|
" [2845822],\n",
|
|
" [2845315],\n",
|
|
" [2842948],\n",
|
|
" [2839908],\n",
|
|
" [2742387],\n",
|
|
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|
|
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|
|
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|
|
" [2725561],\n",
|
|
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|
|
" [2722073],\n",
|
|
" [2721776],\n",
|
|
" [2718330],\n",
|
|
" [2718245],\n",
|
|
" [2549306],\n",
|
|
" [2504715],\n",
|
|
" [2448885],\n",
|
|
" [2417682],\n",
|
|
" [2417638],\n",
|
|
" [2417442],\n",
|
|
" [2375039],\n",
|
|
" [2368028],\n",
|
|
" [2366908],\n",
|
|
" [1836960],\n",
|
|
" [1833476],\n",
|
|
" [1832089],\n",
|
|
" [1831999],\n",
|
|
" [1831194],\n",
|
|
" [1810559],\n",
|
|
" [1809000],\n",
|
|
" [1808892]]),\n",
|
|
" array([[2926219],\n",
|
|
" [2925916],\n",
|
|
" [2915308],\n",
|
|
" [2875050],\n",
|
|
" [2875023],\n",
|
|
" [2864469]]),\n",
|
|
" array([[2931390],\n",
|
|
" [2930440],\n",
|
|
" [2884103],\n",
|
|
" [2884070],\n",
|
|
" [2883992],\n",
|
|
" [2883979],\n",
|
|
" [1967200],\n",
|
|
" [1963833],\n",
|
|
" [1963797],\n",
|
|
" [1920365],\n",
|
|
" [1920341],\n",
|
|
" [1918745],\n",
|
|
" [1916247],\n",
|
|
" [1915528]]),\n",
|
|
" array([[2930855],\n",
|
|
" [2926677],\n",
|
|
" [2925186],\n",
|
|
" [2891416],\n",
|
|
" [2891329],\n",
|
|
" [2891310],\n",
|
|
" [2874315],\n",
|
|
" [2872969],\n",
|
|
" [2871234],\n",
|
|
" [2871089],\n",
|
|
" [2868538],\n",
|
|
" [2724783],\n",
|
|
" [2724046],\n",
|
|
" [2691653],\n",
|
|
" [2690713],\n",
|
|
" [2667805],\n",
|
|
" [2655736],\n",
|
|
" [2655554],\n",
|
|
" [2655320],\n",
|
|
" [2652833],\n",
|
|
" [2572957],\n",
|
|
" [2443912],\n",
|
|
" [2441103],\n",
|
|
" [2409825],\n",
|
|
" [1943591],\n",
|
|
" [1943545],\n",
|
|
" [1896447],\n",
|
|
" [1710995]]),\n",
|
|
" array([[2746140],\n",
|
|
" [2745943],\n",
|
|
" [2479688],\n",
|
|
" [2478137],\n",
|
|
" [2473862],\n",
|
|
" [2430042],\n",
|
|
" [2430018],\n",
|
|
" [2429433],\n",
|
|
" [2428566],\n",
|
|
" [2401647],\n",
|
|
" [2401384],\n",
|
|
" [2382164],\n",
|
|
" [1978308],\n",
|
|
" [1855614],\n",
|
|
" [1847048],\n",
|
|
" [1614273],\n",
|
|
" [1613883],\n",
|
|
" [1556646],\n",
|
|
" [1556391],\n",
|
|
" [1555358],\n",
|
|
" [1554835],\n",
|
|
" [1241584],\n",
|
|
" [1240789],\n",
|
|
" [1239688],\n",
|
|
" [1239044],\n",
|
|
" [1238978]]),\n",
|
|
" array([[2922807],\n",
|
|
" [2636689],\n",
|
|
" [2636677],\n",
|
|
" [2636608],\n",
|
|
" [2635972],\n",
|
|
" [2635903],\n",
|
|
" [2635128],\n",
|
|
" [2634744],\n",
|
|
" [2633763],\n",
|
|
" [2632818],\n",
|
|
" [2632159]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2931710],\n",
|
|
" [2930906],\n",
|
|
" [2928230],\n",
|
|
" [2920930],\n",
|
|
" [2920920],\n",
|
|
" [2919556],\n",
|
|
" [2919399],\n",
|
|
" [2919259],\n",
|
|
" [2919106],\n",
|
|
" [2917865],\n",
|
|
" [2917390],\n",
|
|
" [2917073],\n",
|
|
" [2916709],\n",
|
|
" [2913203],\n",
|
|
" [2913183],\n",
|
|
" [2909776],\n",
|
|
" [2731211],\n",
|
|
" [2730244],\n",
|
|
" [2730094],\n",
|
|
" [2729459]]),\n",
|
|
" array([[2929135],\n",
|
|
" [2922162],\n",
|
|
" [2887446],\n",
|
|
" [2884734],\n",
|
|
" [2884438],\n",
|
|
" [2884320],\n",
|
|
" [2826537],\n",
|
|
" [2688124],\n",
|
|
" [2526881],\n",
|
|
" [2522112],\n",
|
|
" [2360823],\n",
|
|
" [2347835],\n",
|
|
" [2339098],\n",
|
|
" [2334044],\n",
|
|
" [2333139],\n",
|
|
" [2333067],\n",
|
|
" [2071476],\n",
|
|
" [2068810],\n",
|
|
" [2063233],\n",
|
|
" [2062514],\n",
|
|
" [2062224],\n",
|
|
" [1922911],\n",
|
|
" [1921126],\n",
|
|
" [1921099],\n",
|
|
" [1920490],\n",
|
|
" [1920389],\n",
|
|
" [1919487],\n",
|
|
" [1919412],\n",
|
|
" [1918754],\n",
|
|
" [1917629],\n",
|
|
" [1917465],\n",
|
|
" [1911139],\n",
|
|
" [1895981],\n",
|
|
" [1895877],\n",
|
|
" [1890720],\n",
|
|
" [1890711],\n",
|
|
" [1890708],\n",
|
|
" [1885734],\n",
|
|
" [1885425],\n",
|
|
" [1884959],\n",
|
|
" [1884870],\n",
|
|
" [1881426],\n",
|
|
" [1868440],\n",
|
|
" [1867118],\n",
|
|
" [1716580],\n",
|
|
" [1684227],\n",
|
|
" [1670449],\n",
|
|
" [1602691],\n",
|
|
" [1489057],\n",
|
|
" [1469135],\n",
|
|
" [1385043],\n",
|
|
" [1349710],\n",
|
|
" [1347196],\n",
|
|
" [1328923],\n",
|
|
" [1327843],\n",
|
|
" [1268726],\n",
|
|
" [1268321],\n",
|
|
" [1268181]]),\n",
|
|
" array([[2930585],\n",
|
|
" [2829149],\n",
|
|
" [2828962],\n",
|
|
" [2828888],\n",
|
|
" [2820289]]),\n",
|
|
" array([[2808574]]),\n",
|
|
" array([[2912461],\n",
|
|
" [2907652],\n",
|
|
" [2880038],\n",
|
|
" [2878554],\n",
|
|
" [2688347],\n",
|
|
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|
|
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|
|
" [2685686],\n",
|
|
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|
|
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|
|
" [2682244],\n",
|
|
" [2678967],\n",
|
|
" [2678951],\n",
|
|
" [2678207],\n",
|
|
" [2678117]]),\n",
|
|
" array([[2929135],\n",
|
|
" [2928912]]),\n",
|
|
" array([[2931847],\n",
|
|
" [2930933],\n",
|
|
" [2930841],\n",
|
|
" [2930544],\n",
|
|
" [2925089],\n",
|
|
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|
|
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|
|
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|
|
" [2889219],\n",
|
|
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|
|
" [2882993],\n",
|
|
" [2882873],\n",
|
|
" [2881462],\n",
|
|
" [2881442],\n",
|
|
" [2881420],\n",
|
|
" [2880455],\n",
|
|
" [2880444],\n",
|
|
" [2862646],\n",
|
|
" [2854860],\n",
|
|
" [2854097],\n",
|
|
" [2852013]]),\n",
|
|
" array([[2931482],\n",
|
|
" [2931374],\n",
|
|
" [2931357],\n",
|
|
" [2929185],\n",
|
|
" [2917474],\n",
|
|
" [2917311],\n",
|
|
" [2916008],\n",
|
|
" [2847634],\n",
|
|
" [2842315],\n",
|
|
" [2841300],\n",
|
|
" [2841285],\n",
|
|
" [2841194],\n",
|
|
" [2752256],\n",
|
|
" [2666361],\n",
|
|
" [2660389]]),\n",
|
|
" array([[2931390],\n",
|
|
" [2931366],\n",
|
|
" [2931200],\n",
|
|
" [2929394],\n",
|
|
" [2926425],\n",
|
|
" [2926247],\n",
|
|
" [2926019],\n",
|
|
" [2925938],\n",
|
|
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|
|
" [2874151],\n",
|
|
" [2854986],\n",
|
|
" [2852545],\n",
|
|
" [2850701],\n",
|
|
" [2769542],\n",
|
|
" [2767887],\n",
|
|
" [2762823],\n",
|
|
" [2754075],\n",
|
|
" [2753711],\n",
|
|
" [2753541],\n",
|
|
" [2753291],\n",
|
|
" [2740585],\n",
|
|
" [2737403],\n",
|
|
" [2737161],\n",
|
|
" [2735597],\n",
|
|
" [2729948],\n",
|
|
" [2729843],\n",
|
|
" [2685901],\n",
|
|
" [2678094],\n",
|
|
" [1945867],\n",
|
|
" [1905365],\n",
|
|
" [1905251],\n",
|
|
" [1890608],\n",
|
|
" [1845314],\n",
|
|
" [1841385],\n",
|
|
" [1840172],\n",
|
|
" [1814873],\n",
|
|
" [1754131],\n",
|
|
" [1672367],\n",
|
|
" [1665553],\n",
|
|
" [1664898],\n",
|
|
" [1658919],\n",
|
|
" [1595424],\n",
|
|
" [1509708],\n",
|
|
" [1509686],\n",
|
|
" [1509254]]),\n",
|
|
" array([[2930242]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2929042],\n",
|
|
" [2928921],\n",
|
|
" [2928640],\n",
|
|
" [2925387],\n",
|
|
" [2925339],\n",
|
|
" [2925201],\n",
|
|
" [2918706]]),\n",
|
|
" array([[2931482],\n",
|
|
" [2931339],\n",
|
|
" [2925812]]),\n",
|
|
" array([[2915863],\n",
|
|
" [2915818],\n",
|
|
" [2908151],\n",
|
|
" [2883111],\n",
|
|
" [2882851],\n",
|
|
" [2878857],\n",
|
|
" [2878844],\n",
|
|
" [2874230],\n",
|
|
" [2206295],\n",
|
|
" [2206064],\n",
|
|
" [2205867],\n",
|
|
" [2205712],\n",
|
|
" [2205591],\n",
|
|
" [2202715],\n",
|
|
" [2202704],\n",
|
|
" [2194825],\n",
|
|
" [2193411],\n",
|
|
" [2193112],\n",
|
|
" [2193076],\n",
|
|
" [2192423],\n",
|
|
" [2156447],\n",
|
|
" [2154306],\n",
|
|
" [2144237],\n",
|
|
" [2142752],\n",
|
|
" [2142044],\n",
|
|
" [2141415],\n",
|
|
" [2137685],\n",
|
|
" [2137612],\n",
|
|
" [2112943],\n",
|
|
" [2112397],\n",
|
|
" [2112057],\n",
|
|
" [2110817],\n",
|
|
" [2110790],\n",
|
|
" [2109516],\n",
|
|
" [2109472],\n",
|
|
" [2109360]]),\n",
|
|
" array([[2554492]]),\n",
|
|
" array([[2737430],\n",
|
|
" [2737392],\n",
|
|
" [2680837],\n",
|
|
" [2680050]]),\n",
|
|
" array([[2915863],\n",
|
|
" [2915846],\n",
|
|
" [2915094],\n",
|
|
" [2912225],\n",
|
|
" [2908679]]),\n",
|
|
" array([[2927695],\n",
|
|
" [2926948],\n",
|
|
" [2908428],\n",
|
|
" [2908409],\n",
|
|
" [2908362],\n",
|
|
" [2907165],\n",
|
|
" [2906956],\n",
|
|
" [2890875],\n",
|
|
" [2758352],\n",
|
|
" [2757021]]),\n",
|
|
" array([[2910552],\n",
|
|
" [2909167],\n",
|
|
" [2886998],\n",
|
|
" [2885737],\n",
|
|
" [2885510],\n",
|
|
" [2577612],\n",
|
|
" [2499231],\n",
|
|
" [2489358],\n",
|
|
" [2489225],\n",
|
|
" [2486061],\n",
|
|
" [2483948],\n",
|
|
" [2479961],\n",
|
|
" [2418143],\n",
|
|
" [2417051],\n",
|
|
" [2416823],\n",
|
|
" [2416786],\n",
|
|
" [2416244],\n",
|
|
" [2413421],\n",
|
|
" [2398860],\n",
|
|
" [2395975],\n",
|
|
" [2395920],\n",
|
|
" [2191250],\n",
|
|
" [2009616],\n",
|
|
" [1990110],\n",
|
|
" [1989999],\n",
|
|
" [1989683],\n",
|
|
" [1988632],\n",
|
|
" [1988126],\n",
|
|
" [1987997],\n",
|
|
" [1986937]]),\n",
|
|
" array([[2930617]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2931785],\n",
|
|
" [2931703],\n",
|
|
" [2924109],\n",
|
|
" [2923802],\n",
|
|
" [2923400]]),\n",
|
|
" array([[2930617]]),\n",
|
|
" array([[2916800],\n",
|
|
" [2907339],\n",
|
|
" [2907311],\n",
|
|
" [2907156],\n",
|
|
" [2906084],\n",
|
|
" [2905740],\n",
|
|
" [2903410],\n",
|
|
" [2902621],\n",
|
|
" [2899384],\n",
|
|
" [2898809],\n",
|
|
" [2898759],\n",
|
|
" [2897776],\n",
|
|
" [2776158],\n",
|
|
" [2773980],\n",
|
|
" [2773864],\n",
|
|
" [2725919],\n",
|
|
" [2725521],\n",
|
|
" [2722526],\n",
|
|
" [2722120]]),\n",
|
|
" array([[2931913],\n",
|
|
" [2931306],\n",
|
|
" [2931295],\n",
|
|
" [2927525],\n",
|
|
" [2927486],\n",
|
|
" [2926554],\n",
|
|
" [2926127],\n",
|
|
" [2925139],\n",
|
|
" [2924399],\n",
|
|
" [2923654],\n",
|
|
" [2923117],\n",
|
|
" [2923023],\n",
|
|
" [2922946],\n",
|
|
" [2919442],\n",
|
|
" [2913406],\n",
|
|
" [2913020],\n",
|
|
" [2912099],\n",
|
|
" [2909657],\n",
|
|
" [2908292],\n",
|
|
" [2894290],\n",
|
|
" [2886042]]),\n",
|
|
" array([[2929052],\n",
|
|
" [2252124],\n",
|
|
" [2251241],\n",
|
|
" [2249949],\n",
|
|
" [2249906],\n",
|
|
" [2249868],\n",
|
|
" [2225119],\n",
|
|
" [2221543],\n",
|
|
" [2221435],\n",
|
|
" [2220999],\n",
|
|
" [2220720],\n",
|
|
" [1521660],\n",
|
|
" [1521421],\n",
|
|
" [1386778],\n",
|
|
" [1370334],\n",
|
|
" [1329607],\n",
|
|
" [1327310],\n",
|
|
" [1147159],\n",
|
|
" [1146871],\n",
|
|
" [ 241743],\n",
|
|
" [ 241237]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2931687],\n",
|
|
" [2902930],\n",
|
|
" [2902725],\n",
|
|
" [2901447],\n",
|
|
" [2900381],\n",
|
|
" [2887481],\n",
|
|
" [2887274],\n",
|
|
" [2887092],\n",
|
|
" [2884286],\n",
|
|
" [2884270],\n",
|
|
" [2883385],\n",
|
|
" [2883218]]),\n",
|
|
" array([[2916800],\n",
|
|
" [2916574],\n",
|
|
" [2820500],\n",
|
|
" [2820470],\n",
|
|
" [2819932],\n",
|
|
" [2819063],\n",
|
|
" [2818966],\n",
|
|
" [2815533],\n",
|
|
" [2814543]]),\n",
|
|
" array([[2554492]]),\n",
|
|
" array([[2916800],\n",
|
|
" [2916377],\n",
|
|
" [2910503],\n",
|
|
" [2909991],\n",
|
|
" [2908984],\n",
|
|
" [2908323]]),\n",
|
|
" array([[2910552],\n",
|
|
" [2910469],\n",
|
|
" [2910426],\n",
|
|
" [2910094],\n",
|
|
" [2909823],\n",
|
|
" [2909458]]),\n",
|
|
" array([[2929552],\n",
|
|
" [2920210],\n",
|
|
" [2920109],\n",
|
|
" [2903846],\n",
|
|
" [2888990],\n",
|
|
" [2888908],\n",
|
|
" [2878724],\n",
|
|
" [2851104],\n",
|
|
" [2848888],\n",
|
|
" [2848701],\n",
|
|
" [2840494],\n",
|
|
" [2805410],\n",
|
|
" [2800250],\n",
|
|
" [2793537],\n",
|
|
" [2788501],\n",
|
|
" [2787800],\n",
|
|
" [2779827],\n",
|
|
" [2779310],\n",
|
|
" [2779263],\n",
|
|
" [2775776],\n",
|
|
" [2774158],\n",
|
|
" [2774035]]),\n",
|
|
" array([[2931787],\n",
|
|
" [2931775],\n",
|
|
" [2930193],\n",
|
|
" [2930128],\n",
|
|
" [2929220]]),\n",
|
|
" array([[2930608],\n",
|
|
" [2930591],\n",
|
|
" [2925589],\n",
|
|
" [2915867],\n",
|
|
" [2915564],\n",
|
|
" [2913301],\n",
|
|
" [2913215],\n",
|
|
" [2906588],\n",
|
|
" [2906557],\n",
|
|
" [2906294],\n",
|
|
" [2906113],\n",
|
|
" [2904846],\n",
|
|
" [2904402],\n",
|
|
" [2904367],\n",
|
|
" [2896338],\n",
|
|
" [2896231],\n",
|
|
" [2896212],\n",
|
|
" [2892074],\n",
|
|
" [2838979],\n",
|
|
" [2837506],\n",
|
|
" [2830566],\n",
|
|
" [2826218],\n",
|
|
" [2826096],\n",
|
|
" [2826010],\n",
|
|
" [2825573],\n",
|
|
" [2825345],\n",
|
|
" [2824998],\n",
|
|
" [2821901],\n",
|
|
" [2789625],\n",
|
|
" [2788178],\n",
|
|
" [2786453],\n",
|
|
" [2786426],\n",
|
|
" [2783676]]),\n",
|
|
" array([[2737430],\n",
|
|
" [2737274],\n",
|
|
" [2737059],\n",
|
|
" [2232202],\n",
|
|
" [2228598],\n",
|
|
" [2228496],\n",
|
|
" [2227930],\n",
|
|
" [2195871],\n",
|
|
" [2195041],\n",
|
|
" [2194052],\n",
|
|
" [2193568],\n",
|
|
" [2192958],\n",
|
|
" [2179478],\n",
|
|
" [1933157],\n",
|
|
" [1932917],\n",
|
|
" [1931029],\n",
|
|
" [1930061],\n",
|
|
" [1929541],\n",
|
|
" [1929308],\n",
|
|
" [1929133],\n",
|
|
" [1926310],\n",
|
|
" [1925469],\n",
|
|
" [1925446],\n",
|
|
" [1925324]]),\n",
|
|
" array([[2930445],\n",
|
|
" [2924936],\n",
|
|
" [2917077],\n",
|
|
" [2916048],\n",
|
|
" [2916031],\n",
|
|
" [2915991],\n",
|
|
" [2905139],\n",
|
|
" [2905019],\n",
|
|
" [2905008],\n",
|
|
" [2867348],\n",
|
|
" [2866903],\n",
|
|
" [2866423],\n",
|
|
" [2866397],\n",
|
|
" [2866276],\n",
|
|
" [2864591],\n",
|
|
" [2864578],\n",
|
|
" [2863574],\n",
|
|
" [2862945],\n",
|
|
" [2858847],\n",
|
|
" [2858699],\n",
|
|
" [2808206],\n",
|
|
" [2807014]]),\n",
|
|
" array([[2931166],\n",
|
|
" [2931099],\n",
|
|
" [2931082],\n",
|
|
" [2929008],\n",
|
|
" [2925598],\n",
|
|
" [2924885],\n",
|
|
" [2915841],\n",
|
|
" [2914410],\n",
|
|
" [2914399],\n",
|
|
" [2913957],\n",
|
|
" [2913817],\n",
|
|
" [2913778],\n",
|
|
" [2913644],\n",
|
|
" [2913040],\n",
|
|
" [2912493],\n",
|
|
" [2912363],\n",
|
|
" [2912327],\n",
|
|
" [2911440],\n",
|
|
" [2770369],\n",
|
|
" [2770117],\n",
|
|
" [2767844],\n",
|
|
" [2767056],\n",
|
|
" [2315507],\n",
|
|
" [2054712],\n",
|
|
" [2053949],\n",
|
|
" [2053906],\n",
|
|
" [2051012],\n",
|
|
" [2050996],\n",
|
|
" [2014117],\n",
|
|
" [2011947],\n",
|
|
" [2011477],\n",
|
|
" [2011462],\n",
|
|
" [2006421],\n",
|
|
" [2006376],\n",
|
|
" [1994751],\n",
|
|
" [1988941],\n",
|
|
" [1988053],\n",
|
|
" [1987870],\n",
|
|
" [1987194],\n",
|
|
" [1987115],\n",
|
|
" [1978502],\n",
|
|
" [1978132],\n",
|
|
" [1977848],\n",
|
|
" [1977831],\n",
|
|
" [1977779],\n",
|
|
" [1973791],\n",
|
|
" [1792034],\n",
|
|
" [1791689],\n",
|
|
" [1791677],\n",
|
|
" [1790217]]),\n",
|
|
" array([[2929052],\n",
|
|
" [2904744],\n",
|
|
" [2904723],\n",
|
|
" [2903595],\n",
|
|
" [2903097],\n",
|
|
" [2840342],\n",
|
|
" [2752949],\n",
|
|
" [2735630],\n",
|
|
" [2699543],\n",
|
|
" [2699206],\n",
|
|
" [2697760],\n",
|
|
" [2687646],\n",
|
|
" [2477486],\n",
|
|
" [2458053],\n",
|
|
" [2420582],\n",
|
|
" [2420422],\n",
|
|
" [2419689],\n",
|
|
" [2409296],\n",
|
|
" [2409066],\n",
|
|
" [2404017],\n",
|
|
" [2403277],\n",
|
|
" [2403003],\n",
|
|
" [2318262],\n",
|
|
" [2318172],\n",
|
|
" [2318140],\n",
|
|
" [2317016],\n",
|
|
" [2317001],\n",
|
|
" [2285520],\n",
|
|
" [2285354],\n",
|
|
" [2279139],\n",
|
|
" [2278102],\n",
|
|
" [2164842],\n",
|
|
" [2164831],\n",
|
|
" [2164610],\n",
|
|
" [2164297],\n",
|
|
" [2163990],\n",
|
|
" [2117549]]),\n",
|
|
" array([[2929052],\n",
|
|
" [2918953],\n",
|
|
" [2918920],\n",
|
|
" [2918812],\n",
|
|
" [2918429],\n",
|
|
" [2918392],\n",
|
|
" [2478199],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2459093],\n",
|
|
" [2452941],\n",
|
|
" [2452799],\n",
|
|
" [2328021],\n",
|
|
" [2304546],\n",
|
|
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|
|
" [2301746],\n",
|
|
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|
|
" [2283848],\n",
|
|
" [2269132],\n",
|
|
" [2254051],\n",
|
|
" [2248414],\n",
|
|
" [2245829],\n",
|
|
" [2245657]]),\n",
|
|
" array([[2930617]]),\n",
|
|
" array([[2554492]]),\n",
|
|
" array([[2554492]]),\n",
|
|
" array([[2931787],\n",
|
|
" [2931674],\n",
|
|
" [2931464],\n",
|
|
" [2930544],\n",
|
|
" [2929972],\n",
|
|
" [2928436],\n",
|
|
" [2928380],\n",
|
|
" [2927493],\n",
|
|
" [2927465],\n",
|
|
" [2927193],\n",
|
|
" [2925593],\n",
|
|
" [2864923],\n",
|
|
" [2859174],\n",
|
|
" [2854709],\n",
|
|
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|
|
" [2853828],\n",
|
|
" [2853725],\n",
|
|
" [2843482],\n",
|
|
" [2810465],\n",
|
|
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|
|
" [2655322],\n",
|
|
" [2655038],\n",
|
|
" [2652961],\n",
|
|
" [2652779],\n",
|
|
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|
|
" [2416341],\n",
|
|
" [2206443],\n",
|
|
" [2206404],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2193318],\n",
|
|
" [2163593],\n",
|
|
" [2163503],\n",
|
|
" [1329255],\n",
|
|
" [1327518],\n",
|
|
" [1324689]]),\n",
|
|
" array([[2927695],\n",
|
|
" [2927636],\n",
|
|
" [2894558],\n",
|
|
" [2887234],\n",
|
|
" [2886527],\n",
|
|
" [2860602],\n",
|
|
" [2843441]]),\n",
|
|
" array([[2931859],\n",
|
|
" [2931838],\n",
|
|
" [2929858],\n",
|
|
" [2928480],\n",
|
|
" [2924711],\n",
|
|
" [2924612],\n",
|
|
" [2919217],\n",
|
|
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|
|
" [2900051],\n",
|
|
" [2897644],\n",
|
|
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|
|
" [2895048],\n",
|
|
" [2891513],\n",
|
|
" [2848277],\n",
|
|
" [2776013],\n",
|
|
" [2775125],\n",
|
|
" [2571613],\n",
|
|
" [2571571],\n",
|
|
" [2484797],\n",
|
|
" [2481662],\n",
|
|
" [2479799],\n",
|
|
" [2474532],\n",
|
|
" [2471132],\n",
|
|
" [2469984],\n",
|
|
" [2468118],\n",
|
|
" [2467842],\n",
|
|
" [2458541],\n",
|
|
" [2458393],\n",
|
|
" [2458133],\n",
|
|
" [2188176],\n",
|
|
" [2186765],\n",
|
|
" [2184045],\n",
|
|
" [2180261],\n",
|
|
" [2179685],\n",
|
|
" [2177126],\n",
|
|
" [2177093],\n",
|
|
" [2174001],\n",
|
|
" [2173866],\n",
|
|
" [2151511],\n",
|
|
" [2147641],\n",
|
|
" [2117476],\n",
|
|
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|
|
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|
|
" [2116428],\n",
|
|
" [2109373],\n",
|
|
" [2109160],\n",
|
|
" [2107168],\n",
|
|
" [2106663],\n",
|
|
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|
|
" [2099390],\n",
|
|
" [2072218],\n",
|
|
" [2072058],\n",
|
|
" [2072034],\n",
|
|
" [2059400],\n",
|
|
" [2058133],\n",
|
|
" [2057705],\n",
|
|
" [2057595],\n",
|
|
" [2057375],\n",
|
|
" [2057052],\n",
|
|
" [2055581],\n",
|
|
" [2055568],\n",
|
|
" [2053100],\n",
|
|
" [2033406],\n",
|
|
" [2031472],\n",
|
|
" [2029214],\n",
|
|
" [2029019],\n",
|
|
" [2029008],\n",
|
|
" [2007223],\n",
|
|
" [2006834],\n",
|
|
" [1830272],\n",
|
|
" [1830233],\n",
|
|
" [1435507],\n",
|
|
" [1435494],\n",
|
|
" [1435441],\n",
|
|
" [1364324],\n",
|
|
" [1363772],\n",
|
|
" [1295740],\n",
|
|
" [1287293],\n",
|
|
" [1286932]]),\n",
|
|
" array([[2931876],\n",
|
|
" [2931278]]),\n",
|
|
" array([[2929854],\n",
|
|
" [2806323],\n",
|
|
" [2806139],\n",
|
|
" [2802980],\n",
|
|
" [2802968],\n",
|
|
" [2733639],\n",
|
|
" [2733479],\n",
|
|
" [2658832],\n",
|
|
" [2646137],\n",
|
|
" [2646100],\n",
|
|
" [2645172],\n",
|
|
" [2273083],\n",
|
|
" [2272725],\n",
|
|
" [1439319],\n",
|
|
" [1223481],\n",
|
|
" [1222874]]),\n",
|
|
" array([[2931795],\n",
|
|
" [2582612]]),\n",
|
|
" array([[2930656],\n",
|
|
" [2923957],\n",
|
|
" [2923881],\n",
|
|
" [2921985],\n",
|
|
" [2912374],\n",
|
|
" [2912319],\n",
|
|
" [2911851],\n",
|
|
" [2911637],\n",
|
|
" [2911538],\n",
|
|
" [2907883],\n",
|
|
" [2896960],\n",
|
|
" [2891755],\n",
|
|
" [2889322],\n",
|
|
" [2888788],\n",
|
|
" [2888739],\n",
|
|
" [2887412],\n",
|
|
" [2887368],\n",
|
|
" [2883165],\n",
|
|
" [2366458],\n",
|
|
" [2364039],\n",
|
|
" [2364028],\n",
|
|
" [2363987],\n",
|
|
" [2363212],\n",
|
|
" [2362340],\n",
|
|
" [2361477],\n",
|
|
" [2262863],\n",
|
|
" [2262735],\n",
|
|
" [2262061],\n",
|
|
" [2261991],\n",
|
|
" [2254196],\n",
|
|
" [2244520],\n",
|
|
" [2244435],\n",
|
|
" [2244195],\n",
|
|
" [2244159],\n",
|
|
" [2244074],\n",
|
|
" [2244032],\n",
|
|
" [2242400],\n",
|
|
" [2217130],\n",
|
|
" [2209707],\n",
|
|
" [2209678],\n",
|
|
" [2208352],\n",
|
|
" [2208227],\n",
|
|
" [2208122],\n",
|
|
" [2208059],\n",
|
|
" [2207737],\n",
|
|
" [2161632],\n",
|
|
" [2122654],\n",
|
|
" [2122214],\n",
|
|
" [2121735],\n",
|
|
" [2121647],\n",
|
|
" [2117387],\n",
|
|
" [2117268],\n",
|
|
" [2117239],\n",
|
|
" [2115000],\n",
|
|
" [2114221]]),\n",
|
|
" array([[2931859],\n",
|
|
" [2931836],\n",
|
|
" [2929846],\n",
|
|
" [2929358],\n",
|
|
" [2929047],\n",
|
|
" [2888275],\n",
|
|
" [2883727],\n",
|
|
" [2883001],\n",
|
|
" [2882975],\n",
|
|
" [2882780],\n",
|
|
" [2881959],\n",
|
|
" [2881941],\n",
|
|
" [2881543],\n",
|
|
" [2881510],\n",
|
|
" [2881397],\n",
|
|
" [2843896],\n",
|
|
" [2649175],\n",
|
|
" [2649044],\n",
|
|
" [2645161],\n",
|
|
" [2641937],\n",
|
|
" [2640970],\n",
|
|
" [2640820],\n",
|
|
" [2640760],\n",
|
|
" [2638841]]),\n",
|
|
" array([[2928680],\n",
|
|
" [2926907],\n",
|
|
" [2926693],\n",
|
|
" [2876106],\n",
|
|
" [2874950],\n",
|
|
" [2874773],\n",
|
|
" [2871622],\n",
|
|
" [2871272],\n",
|
|
" [2870416],\n",
|
|
" [2868504],\n",
|
|
" [2856285],\n",
|
|
" [2856083]]),\n",
|
|
" array([[2931795],\n",
|
|
" [2910069],\n",
|
|
" [2619770],\n",
|
|
" [2619347],\n",
|
|
" [2617215],\n",
|
|
" [2617126],\n",
|
|
" [2616892],\n",
|
|
" [2474684],\n",
|
|
" [2469992],\n",
|
|
" [2469237],\n",
|
|
" [2468354],\n",
|
|
" [2467504],\n",
|
|
" [2467468],\n",
|
|
" [2466985],\n",
|
|
" [2463561],\n",
|
|
" [2462577],\n",
|
|
" [2462553],\n",
|
|
" [2462282],\n",
|
|
" [2462201],\n",
|
|
" [2462053],\n",
|
|
" [2462039],\n",
|
|
" [2461808]]),\n",
|
|
" array([[2931859],\n",
|
|
" [2928372],\n",
|
|
" [2927589],\n",
|
|
" [2903569],\n",
|
|
" [2901797],\n",
|
|
" [2901735],\n",
|
|
" [2901721],\n",
|
|
" [2901622],\n",
|
|
" [2901221],\n",
|
|
" [2898833],\n",
|
|
" [2873767],\n",
|
|
" [2850861],\n",
|
|
" [2847761],\n",
|
|
" [2846757],\n",
|
|
" [2846601]]),\n",
|
|
" array([[2931859],\n",
|
|
" [2931626]]),\n",
|
|
" array([[2889938],\n",
|
|
" [2865801],\n",
|
|
" [2865559],\n",
|
|
" [2865390],\n",
|
|
" [2865190],\n",
|
|
" [2864991],\n",
|
|
" [2864735]]),\n",
|
|
" array([[2931339],\n",
|
|
" [2931204],\n",
|
|
" [2917894],\n",
|
|
" [2917524],\n",
|
|
" [2916588],\n",
|
|
" [2908831],\n",
|
|
" [2908774],\n",
|
|
" [2908762],\n",
|
|
" [2906712],\n",
|
|
" [2903940],\n",
|
|
" [2903727],\n",
|
|
" [2903705],\n",
|
|
" [2902905],\n",
|
|
" [2901095],\n",
|
|
" [2899481],\n",
|
|
" [2899444],\n",
|
|
" [2894695],\n",
|
|
" [2892444],\n",
|
|
" [2892363],\n",
|
|
" [2891512],\n",
|
|
" [2890579],\n",
|
|
" [1518661],\n",
|
|
" [1237497]]),\n",
|
|
" array([[2927018],\n",
|
|
" [2866491],\n",
|
|
" [2839106],\n",
|
|
" [2821940],\n",
|
|
" [2821330],\n",
|
|
" [2820922],\n",
|
|
" [2820410],\n",
|
|
" [2820301],\n",
|
|
" [2820009],\n",
|
|
" [2815564],\n",
|
|
" [2812593],\n",
|
|
" [2812514],\n",
|
|
" [2811080],\n",
|
|
" [2810881]]),\n",
|
|
" array([[2914200],\n",
|
|
" [2913624],\n",
|
|
" [2882003],\n",
|
|
" [2867033],\n",
|
|
" [2866855],\n",
|
|
" [2866843],\n",
|
|
" [2865418],\n",
|
|
" [2834112],\n",
|
|
" [2832035],\n",
|
|
" [2828308],\n",
|
|
" [2826589],\n",
|
|
" [2826198],\n",
|
|
" [2822188],\n",
|
|
" [2821294],\n",
|
|
" [2812420],\n",
|
|
" [2737789],\n",
|
|
" [2736697]]),\n",
|
|
" array([[2930025],\n",
|
|
" [2895184],\n",
|
|
" [2755542],\n",
|
|
" [2755223],\n",
|
|
" [2752798],\n",
|
|
" [2747149],\n",
|
|
" [2728263],\n",
|
|
" [2728018]]),\n",
|
|
" array([[2931777],\n",
|
|
" [2931511],\n",
|
|
" [2930936],\n",
|
|
" [2930914],\n",
|
|
" [2929684],\n",
|
|
" [2925222],\n",
|
|
" [2922929],\n",
|
|
" [2921244],\n",
|
|
" [2921228],\n",
|
|
" [2892146],\n",
|
|
" [2889683],\n",
|
|
" [2889198]]),\n",
|
|
" array([[2929797],\n",
|
|
" [2929636],\n",
|
|
" [2502247],\n",
|
|
" [2491889],\n",
|
|
" [2484355],\n",
|
|
" [2459313],\n",
|
|
" [2459121],\n",
|
|
" [2459013],\n",
|
|
" [2458718],\n",
|
|
" [2458667],\n",
|
|
" [2451200],\n",
|
|
" [2435578],\n",
|
|
" [2435297],\n",
|
|
" [2434058],\n",
|
|
" [2433870],\n",
|
|
" [2147164],\n",
|
|
" [2102857],\n",
|
|
" [2101647],\n",
|
|
" [2100981],\n",
|
|
" [2100171],\n",
|
|
" [2100040],\n",
|
|
" [1559878],\n",
|
|
" [1559315],\n",
|
|
" [1559252],\n",
|
|
" [1558545],\n",
|
|
" [1375282],\n",
|
|
" [1371790],\n",
|
|
" [1335872],\n",
|
|
" [1334464],\n",
|
|
" [1308534],\n",
|
|
" [1295973],\n",
|
|
" [1135740],\n",
|
|
" [1135517],\n",
|
|
" [ 402604]]),\n",
|
|
" array([[2931878],\n",
|
|
" [2926090],\n",
|
|
" [2911070],\n",
|
|
" [2911060],\n",
|
|
" [2910964],\n",
|
|
" [2906303],\n",
|
|
" [2904295],\n",
|
|
" [2879745],\n",
|
|
" [2677977],\n",
|
|
" [2204767],\n",
|
|
" [2204703],\n",
|
|
" [2204675],\n",
|
|
" [2200989],\n",
|
|
" [2199573],\n",
|
|
" [2199260],\n",
|
|
" [2199085],\n",
|
|
" [2198841],\n",
|
|
" [2198636],\n",
|
|
" [2186166],\n",
|
|
" [2185130],\n",
|
|
" [2185117],\n",
|
|
" [2185074],\n",
|
|
" [2183108],\n",
|
|
" [2182974],\n",
|
|
" [2182892],\n",
|
|
" [2182643],\n",
|
|
" [1602468],\n",
|
|
" [1515978],\n",
|
|
" [1515354],\n",
|
|
" [1331473],\n",
|
|
" [1202485],\n",
|
|
" [ 492751],\n",
|
|
" [ 492285],\n",
|
|
" [ 491330],\n",
|
|
" [ 490230],\n",
|
|
" [ 490134],\n",
|
|
" [ 488448]]),\n",
|
|
" array([[2929854],\n",
|
|
" [2920278],\n",
|
|
" [2901171],\n",
|
|
" [2899547],\n",
|
|
" [2898893],\n",
|
|
" [2898880],\n",
|
|
" [2895315]]),\n",
|
|
" array([[2931777],\n",
|
|
" [2927002],\n",
|
|
" [2915908],\n",
|
|
" [2915866],\n",
|
|
" [2915700]]),\n",
|
|
" array([[2931747]]),\n",
|
|
" array([[2919058],\n",
|
|
" [2917653],\n",
|
|
" [2904929],\n",
|
|
" [2904703],\n",
|
|
" [2904654],\n",
|
|
" [2904633],\n",
|
|
" [2865837],\n",
|
|
" [2865488]]),\n",
|
|
" array([[2931769],\n",
|
|
" [2929284],\n",
|
|
" [2926563],\n",
|
|
" [2925848],\n",
|
|
" [2882078],\n",
|
|
" [2874174],\n",
|
|
" [2874127],\n",
|
|
" [2873728],\n",
|
|
" [2867030],\n",
|
|
" [2867003],\n",
|
|
" [2866260],\n",
|
|
" [2866248],\n",
|
|
" [2866146],\n",
|
|
" [2866001],\n",
|
|
" [2865531],\n",
|
|
" [2828356],\n",
|
|
" [2825155],\n",
|
|
" [2824942],\n",
|
|
" [2822568],\n",
|
|
" [2822558],\n",
|
|
" [2808799]]),\n",
|
|
" array([[2931743],\n",
|
|
" [2931681],\n",
|
|
" [2916000],\n",
|
|
" [2831982],\n",
|
|
" [2831771]]),\n",
|
|
" array([[2931795],\n",
|
|
" [2931060],\n",
|
|
" [2929481],\n",
|
|
" [2857471],\n",
|
|
" [2855511],\n",
|
|
" [2855172],\n",
|
|
" [2851835],\n",
|
|
" [2755775],\n",
|
|
" [2740565],\n",
|
|
" [2740042],\n",
|
|
" [2738727],\n",
|
|
" [2738711],\n",
|
|
" [2645093],\n",
|
|
" [2645058],\n",
|
|
" [2645002],\n",
|
|
" [2644758],\n",
|
|
" [2644248],\n",
|
|
" [2644112],\n",
|
|
" [2641389],\n",
|
|
" [2639055],\n",
|
|
" [2636734],\n",
|
|
" [2636680],\n",
|
|
" [2636404],\n",
|
|
" [2636373],\n",
|
|
" [2636179],\n",
|
|
" [2636149],\n",
|
|
" [2634716],\n",
|
|
" [2634444],\n",
|
|
" [2590386],\n",
|
|
" [2573673],\n",
|
|
" [2573603],\n",
|
|
" [2573312],\n",
|
|
" [2563579],\n",
|
|
" [2562852],\n",
|
|
" [2561473],\n",
|
|
" [2561070],\n",
|
|
" [2560543]]),\n",
|
|
" array([[2929797],\n",
|
|
" [2924631]]),\n",
|
|
" array([[2931747]]),\n",
|
|
" array([[2931769],\n",
|
|
" [2924247],\n",
|
|
" [2924134],\n",
|
|
" [2922440],\n",
|
|
" [2899834],\n",
|
|
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|
|
" [2895179],\n",
|
|
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|
|
" [2878412],\n",
|
|
" [2878128],\n",
|
|
" [2877791],\n",
|
|
" [2869110],\n",
|
|
" [2868758],\n",
|
|
" [2846013],\n",
|
|
" [2845779],\n",
|
|
" [2844809],\n",
|
|
" [2843548],\n",
|
|
" [2843496],\n",
|
|
" [2842744],\n",
|
|
" [2842694],\n",
|
|
" [2841026],\n",
|
|
" [2829149],\n",
|
|
" [2828978],\n",
|
|
" [2624524],\n",
|
|
" [2624214],\n",
|
|
" [2549887],\n",
|
|
" [2549687],\n",
|
|
" [2549399],\n",
|
|
" [2549361],\n",
|
|
" [2546150],\n",
|
|
" [2546027],\n",
|
|
" [2242679],\n",
|
|
" [2160135],\n",
|
|
" [2105766],\n",
|
|
" [2105634],\n",
|
|
" [2103788],\n",
|
|
" [2100130],\n",
|
|
" [2062924],\n",
|
|
" [2062287],\n",
|
|
" [2062028],\n",
|
|
" [2058035],\n",
|
|
" [2058008],\n",
|
|
" [2053526],\n",
|
|
" [1991122],\n",
|
|
" [1987363],\n",
|
|
" [1987346],\n",
|
|
" [1903023],\n",
|
|
" [1901295],\n",
|
|
" [1900518],\n",
|
|
" [1900418],\n",
|
|
" [1900314],\n",
|
|
" [1716710],\n",
|
|
" [1695350],\n",
|
|
" [1680767]]),\n",
|
|
" array([[2927018],\n",
|
|
" [2926969],\n",
|
|
" [2926923],\n",
|
|
" [2916216],\n",
|
|
" [2916105],\n",
|
|
" [2909843],\n",
|
|
" [2909795],\n",
|
|
" [2892584],\n",
|
|
" [2892172],\n",
|
|
" [2740676],\n",
|
|
" [2740653],\n",
|
|
" [2739417],\n",
|
|
" [2737201],\n",
|
|
" [2680217],\n",
|
|
" [2675161],\n",
|
|
" [2675133],\n",
|
|
" [2668632],\n",
|
|
" [2663949],\n",
|
|
" [2662970],\n",
|
|
" [2662678],\n",
|
|
" [2661268],\n",
|
|
" [2660599]]),\n",
|
|
" array([[2928680],\n",
|
|
" [2924640],\n",
|
|
" [2922878],\n",
|
|
" [2922692],\n",
|
|
" [2922264],\n",
|
|
" [2907843],\n",
|
|
" [2906931],\n",
|
|
" [2906796],\n",
|
|
" [2906276],\n",
|
|
" [2881873]]),\n",
|
|
" array([[2883236],\n",
|
|
" [2882823],\n",
|
|
" [2882809],\n",
|
|
" [2881499],\n",
|
|
" [2881435],\n",
|
|
" [2880396],\n",
|
|
" [2879238],\n",
|
|
" [2878897]]),\n",
|
|
" array([[2930383],\n",
|
|
" [2926503],\n",
|
|
" [2925606],\n",
|
|
" [2922825],\n",
|
|
" [2922342],\n",
|
|
" [2916002],\n",
|
|
" [2914076]]),\n",
|
|
" array([[2917031],\n",
|
|
" [2913238],\n",
|
|
" [2899312],\n",
|
|
" [2899219],\n",
|
|
" [2850485],\n",
|
|
" [2850376],\n",
|
|
" [2848848],\n",
|
|
" [2773750],\n",
|
|
" [2773711],\n",
|
|
" [2773699],\n",
|
|
" [2755144],\n",
|
|
" [2755027],\n",
|
|
" [2753917],\n",
|
|
" [2750476],\n",
|
|
" [2740316],\n",
|
|
" [2737498],\n",
|
|
" [2737403],\n",
|
|
" [2736015],\n",
|
|
" [2735934],\n",
|
|
" [2735904],\n",
|
|
" [2735479],\n",
|
|
" [2735344],\n",
|
|
" [2637483],\n",
|
|
" [2637464],\n",
|
|
" [2636202]]),\n",
|
|
" array([[2919380],\n",
|
|
" [2918674],\n",
|
|
" [2881386]]),\n",
|
|
" array([[2919380],\n",
|
|
" [2897005],\n",
|
|
" [2889352],\n",
|
|
" [2874467],\n",
|
|
" [2874294],\n",
|
|
" [2873081],\n",
|
|
" [2742075],\n",
|
|
" [2733871],\n",
|
|
" [2733244],\n",
|
|
" [2733181],\n",
|
|
" [2689264]]),\n",
|
|
" array([[2930323],\n",
|
|
" [2928176],\n",
|
|
" [2928150],\n",
|
|
" [2928099],\n",
|
|
" [2841512],\n",
|
|
" [2841339],\n",
|
|
" [2839593],\n",
|
|
" [2831001],\n",
|
|
" [2650385],\n",
|
|
" [2650255],\n",
|
|
" [2649871],\n",
|
|
" [2329313],\n",
|
|
" [2329196],\n",
|
|
" [2329142],\n",
|
|
" [2328547],\n",
|
|
" [2328505],\n",
|
|
" [2327981],\n",
|
|
" [2327435],\n",
|
|
" [2327372],\n",
|
|
" [2326856],\n",
|
|
" [2326531],\n",
|
|
" [2326517],\n",
|
|
" [2326350],\n",
|
|
" [2323713],\n",
|
|
" [2323689],\n",
|
|
" [2254677],\n",
|
|
" [2253900],\n",
|
|
" [2253848],\n",
|
|
" [2250871],\n",
|
|
" [2249747],\n",
|
|
" [2072573],\n",
|
|
" [1946863],\n",
|
|
" [1937222],\n",
|
|
" [1934044],\n",
|
|
" [1933184],\n",
|
|
" [1933055],\n",
|
|
" [1933024],\n",
|
|
" [1932752],\n",
|
|
" [1927399],\n",
|
|
" [1919546],\n",
|
|
" [1918931]]),\n",
|
|
" array([[2928239],\n",
|
|
" [2373701],\n",
|
|
" [2373414],\n",
|
|
" [2371072],\n",
|
|
" [2338205],\n",
|
|
" [2322508],\n",
|
|
" [2318726],\n",
|
|
" [2317719],\n",
|
|
" [2316927],\n",
|
|
" [2316730],\n",
|
|
" [2316719],\n",
|
|
" [2292796],\n",
|
|
" [2232758],\n",
|
|
" [2232083],\n",
|
|
" [2229996],\n",
|
|
" [2229929],\n",
|
|
" [2228573],\n",
|
|
" [2228282],\n",
|
|
" [2227855],\n",
|
|
" [2227807],\n",
|
|
" [2227755],\n",
|
|
" [2227720],\n",
|
|
" [2215128],\n",
|
|
" [2198661],\n",
|
|
" [2197760],\n",
|
|
" [2190133],\n",
|
|
" [2190115],\n",
|
|
" [2190087],\n",
|
|
" [2189838],\n",
|
|
" [2187325],\n",
|
|
" [2182195],\n",
|
|
" [2182159],\n",
|
|
" [2173086],\n",
|
|
" [2172886],\n",
|
|
" [2172239],\n",
|
|
" [2172213],\n",
|
|
" [2172184],\n",
|
|
" [2172082],\n",
|
|
" [2170891],\n",
|
|
" [2170777],\n",
|
|
" [2168295],\n",
|
|
" [2096323],\n",
|
|
" [2096069],\n",
|
|
" [2096038],\n",
|
|
" [1612210],\n",
|
|
" [1612049],\n",
|
|
" [1459577],\n",
|
|
" [1259577],\n",
|
|
" [1124890],\n",
|
|
" [ 390410]]),\n",
|
|
" array([[2883236],\n",
|
|
" [2860803],\n",
|
|
" [2860490],\n",
|
|
" [2858156],\n",
|
|
" [2857595],\n",
|
|
" [2844302],\n",
|
|
" [2844209]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2928266],\n",
|
|
" [2926665],\n",
|
|
" [2926561],\n",
|
|
" [2926315],\n",
|
|
" [2926267],\n",
|
|
" [2926225],\n",
|
|
" [2925825]]),\n",
|
|
" array([[2883236],\n",
|
|
" [2881599],\n",
|
|
" [2880915],\n",
|
|
" [2461298],\n",
|
|
" [2442851],\n",
|
|
" [2442738],\n",
|
|
" [1729615]]),\n",
|
|
" array([[2919380],\n",
|
|
" [2918639],\n",
|
|
" [2918574],\n",
|
|
" [2918146],\n",
|
|
" [2880497]]),\n",
|
|
" array([[2927520],\n",
|
|
" [2927308],\n",
|
|
" [2927270],\n",
|
|
" [2927255],\n",
|
|
" [2925129],\n",
|
|
" [2921480],\n",
|
|
" [2820162]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2916375],\n",
|
|
" [2916065],\n",
|
|
" [2914816],\n",
|
|
" [2912510],\n",
|
|
" [2899070],\n",
|
|
" [2898932],\n",
|
|
" [2898707],\n",
|
|
" [2897301],\n",
|
|
" [2897170],\n",
|
|
" [2897146],\n",
|
|
" [2895066],\n",
|
|
" [2894239],\n",
|
|
" [2892638],\n",
|
|
" [2892257],\n",
|
|
" [2888187],\n",
|
|
" [2888136],\n",
|
|
" [2888079],\n",
|
|
" [2887979],\n",
|
|
" [2887706]]),\n",
|
|
" array([[2930323],\n",
|
|
" [2930150],\n",
|
|
" [2904628],\n",
|
|
" [2897114],\n",
|
|
" [2896065],\n",
|
|
" [2895981],\n",
|
|
" [2893653],\n",
|
|
" [2890415],\n",
|
|
" [2890126],\n",
|
|
" [2890043],\n",
|
|
" [2889952],\n",
|
|
" [2889680],\n",
|
|
" [2885177],\n",
|
|
" [2885134],\n",
|
|
" [2882990],\n",
|
|
" [2876402],\n",
|
|
" [2875376],\n",
|
|
" [2874271],\n",
|
|
" [2874014],\n",
|
|
" [2873592],\n",
|
|
" [2861594],\n",
|
|
" [2859480],\n",
|
|
" [2858688],\n",
|
|
" [2826033],\n",
|
|
" [2825915],\n",
|
|
" [2825625],\n",
|
|
" [2824826],\n",
|
|
" [2806156],\n",
|
|
" [2806072],\n",
|
|
" [2805620],\n",
|
|
" [2805156],\n",
|
|
" [2804541],\n",
|
|
" [2803705],\n",
|
|
" [2803673],\n",
|
|
" [2802920],\n",
|
|
" [2802573],\n",
|
|
" [2802105],\n",
|
|
" [2801715],\n",
|
|
" [2801018],\n",
|
|
" [2800993],\n",
|
|
" [2800721],\n",
|
|
" [2799833],\n",
|
|
" [2798096],\n",
|
|
" [2798067],\n",
|
|
" [2797974],\n",
|
|
" [2797724],\n",
|
|
" [2793534],\n",
|
|
" [2793386],\n",
|
|
" [2774117],\n",
|
|
" [2747564],\n",
|
|
" [2745860],\n",
|
|
" [2744860]]),\n",
|
|
" array([[2917031],\n",
|
|
" [2917011],\n",
|
|
" [2916334],\n",
|
|
" [2657219],\n",
|
|
" [2657158],\n",
|
|
" [2657100],\n",
|
|
" [2656976],\n",
|
|
" [2632774],\n",
|
|
" [2616750],\n",
|
|
" [2616738],\n",
|
|
" [2595307]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2931801],\n",
|
|
" [2821348],\n",
|
|
" [2814613],\n",
|
|
" [2814516],\n",
|
|
" [2811871],\n",
|
|
" [2804993],\n",
|
|
" [2803567],\n",
|
|
" [2795419]]),\n",
|
|
" array([[2928239],\n",
|
|
" [2925789],\n",
|
|
" [2925422],\n",
|
|
" [2925344],\n",
|
|
" [2925261],\n",
|
|
" [2925205],\n",
|
|
" [2924336],\n",
|
|
" [2924231]]),\n",
|
|
" array([[2927520],\n",
|
|
" [2927507],\n",
|
|
" [2926425],\n",
|
|
" [2926299],\n",
|
|
" [2922805],\n",
|
|
" [2922682],\n",
|
|
" [2922637],\n",
|
|
" [2922415],\n",
|
|
" [2920876],\n",
|
|
" [2907243],\n",
|
|
" [2907232],\n",
|
|
" [2907203],\n",
|
|
" [2907189],\n",
|
|
" [2904391],\n",
|
|
" [2904370],\n",
|
|
" [2896422],\n",
|
|
" [2896283],\n",
|
|
" [2894000],\n",
|
|
" [2892200],\n",
|
|
" [2892178],\n",
|
|
" [2880513],\n",
|
|
" [2854905],\n",
|
|
" [2850861],\n",
|
|
" [2827021],\n",
|
|
" [2826870],\n",
|
|
" [2826582],\n",
|
|
" [2826292],\n",
|
|
" [2159321],\n",
|
|
" [2158704],\n",
|
|
" [2158620],\n",
|
|
" [2157063],\n",
|
|
" [2086860],\n",
|
|
" [2084143],\n",
|
|
" [2083684],\n",
|
|
" [2081638],\n",
|
|
" [2063067],\n",
|
|
" [2062363],\n",
|
|
" [2030045],\n",
|
|
" [2030004],\n",
|
|
" [1956922],\n",
|
|
" [1868887],\n",
|
|
" [1868685],\n",
|
|
" [1865755],\n",
|
|
" [1865732],\n",
|
|
" [1865006],\n",
|
|
" [1864817]]),\n",
|
|
" array([[2853600],\n",
|
|
" [2848968],\n",
|
|
" [2841245],\n",
|
|
" [2839063],\n",
|
|
" [2836418],\n",
|
|
" [2815651],\n",
|
|
" [2815027]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2924547],\n",
|
|
" [2919207],\n",
|
|
" [2918540],\n",
|
|
" [2912730],\n",
|
|
" [2912119],\n",
|
|
" [2910677],\n",
|
|
" [2910438],\n",
|
|
" [2889308],\n",
|
|
" [2885988],\n",
|
|
" [2867543],\n",
|
|
" [2867518],\n",
|
|
" [2831922],\n",
|
|
" [2831849],\n",
|
|
" [2821238],\n",
|
|
" [2820534],\n",
|
|
" [2820454],\n",
|
|
" [2820358]]),\n",
|
|
" array([[2931546],\n",
|
|
" [2931016],\n",
|
|
" [2930942],\n",
|
|
" [2930887],\n",
|
|
" [2930452],\n",
|
|
" [2930432],\n",
|
|
" [2923151],\n",
|
|
" [2923064],\n",
|
|
" [2922903],\n",
|
|
" [2922686],\n",
|
|
" [2922658],\n",
|
|
" [2921572],\n",
|
|
" [2917309],\n",
|
|
" [2916981],\n",
|
|
" [2916861],\n",
|
|
" [2909266],\n",
|
|
" [2908646],\n",
|
|
" [2888573],\n",
|
|
" [2887613],\n",
|
|
" [2819825],\n",
|
|
" [2819192]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2931426],\n",
|
|
" [2931336],\n",
|
|
" [2905467],\n",
|
|
" [2905005]]),\n",
|
|
" array([[2919380],\n",
|
|
" [2918633],\n",
|
|
" [2868324]]),\n",
|
|
" array([[2927520],\n",
|
|
" [2927472],\n",
|
|
" [2926914],\n",
|
|
" [2880442],\n",
|
|
" [2880077],\n",
|
|
" [2879598],\n",
|
|
" [2776459],\n",
|
|
" [2773591],\n",
|
|
" [2726704],\n",
|
|
" [2717341],\n",
|
|
" [2710063],\n",
|
|
" [2696360],\n",
|
|
" [2692125],\n",
|
|
" [2691474]]),\n",
|
|
" array([[2921862],\n",
|
|
" [2918345],\n",
|
|
" [2918304],\n",
|
|
" [2918174],\n",
|
|
" [2917865],\n",
|
|
" [2914655],\n",
|
|
" [2914406],\n",
|
|
" [2912383],\n",
|
|
" [2899346]]),\n",
|
|
" array([[2928669]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2930188],\n",
|
|
" [2922512],\n",
|
|
" [2922442]]),\n",
|
|
" array([[2931813],\n",
|
|
" [2929598],\n",
|
|
" [2928142],\n",
|
|
" [2928047],\n",
|
|
" [2927899],\n",
|
|
" [2927702],\n",
|
|
" [2927689],\n",
|
|
" [2915135],\n",
|
|
" [2914187],\n",
|
|
" [2910723],\n",
|
|
" [2903880],\n",
|
|
" [2903461],\n",
|
|
" [2903307],\n",
|
|
" [2902804],\n",
|
|
" [2893048],\n",
|
|
" [2892932],\n",
|
|
" [2888246],\n",
|
|
" [2858057],\n",
|
|
" [2857721],\n",
|
|
" [2857704],\n",
|
|
" [2857468],\n",
|
|
" [2834144],\n",
|
|
" [2834073],\n",
|
|
" [2833871]]),\n",
|
|
" array([[2931628],\n",
|
|
" [2931542],\n",
|
|
" [2931511],\n",
|
|
" [2931416],\n",
|
|
" [2899704],\n",
|
|
" [2899654],\n",
|
|
" [2899516],\n",
|
|
" [2899464],\n",
|
|
" [2899438],\n",
|
|
" [2897813],\n",
|
|
" [2812449],\n",
|
|
" [2812436],\n",
|
|
" [2812400],\n",
|
|
" [2801073],\n",
|
|
" [2801046],\n",
|
|
" [2775178],\n",
|
|
" [2775166],\n",
|
|
" [2775148],\n",
|
|
" [2762310],\n",
|
|
" [2745950],\n",
|
|
" [2729068],\n",
|
|
" [2729024],\n",
|
|
" [2726326],\n",
|
|
" [2726195],\n",
|
|
" [2724152]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931438],\n",
|
|
" [2931414],\n",
|
|
" [2929419],\n",
|
|
" [2928912]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931868],\n",
|
|
" [2931355],\n",
|
|
" [2930097],\n",
|
|
" [2930056],\n",
|
|
" [2929889],\n",
|
|
" [2929530],\n",
|
|
" [2924536],\n",
|
|
" [2923524],\n",
|
|
" [2923475],\n",
|
|
" [2916876],\n",
|
|
" [2675058],\n",
|
|
" [2631121],\n",
|
|
" [2586666]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2931813],\n",
|
|
" [2931700],\n",
|
|
" [2930877],\n",
|
|
" [2930371],\n",
|
|
" [2755448],\n",
|
|
" [2622180],\n",
|
|
" [2621973],\n",
|
|
" [2614392],\n",
|
|
" [2453871],\n",
|
|
" [2432658],\n",
|
|
" [2398847],\n",
|
|
" [2230381],\n",
|
|
" [2230355],\n",
|
|
" [2225788],\n",
|
|
" [2217558],\n",
|
|
" [2217500],\n",
|
|
" [2217402],\n",
|
|
" [2202550],\n",
|
|
" [2190980],\n",
|
|
" [2189940],\n",
|
|
" [2189693],\n",
|
|
" [2189541],\n",
|
|
" [2187700],\n",
|
|
" [2187143],\n",
|
|
" [2184640],\n",
|
|
" [2184613],\n",
|
|
" [1284958],\n",
|
|
" [1279799],\n",
|
|
" [1119394],\n",
|
|
" [ 848611],\n",
|
|
" [ 841657]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2929070],\n",
|
|
" [2928953],\n",
|
|
" [2923121],\n",
|
|
" [2922881],\n",
|
|
" [2922762],\n",
|
|
" [2922111],\n",
|
|
" [2919207],\n",
|
|
" [2904696],\n",
|
|
" [2904290],\n",
|
|
" [2904261],\n",
|
|
" [2902206],\n",
|
|
" [2901996],\n",
|
|
" [2850139],\n",
|
|
" [2847518],\n",
|
|
" [2847484],\n",
|
|
" [2847117],\n",
|
|
" [2846942],\n",
|
|
" [2846240],\n",
|
|
" [2846154],\n",
|
|
" [2843803],\n",
|
|
" [2816358]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2780018],\n",
|
|
" [2777424],\n",
|
|
" [2776885],\n",
|
|
" [2771870],\n",
|
|
" [2769316],\n",
|
|
" [2769270],\n",
|
|
" [2768171],\n",
|
|
" [2767156],\n",
|
|
" [2767097],\n",
|
|
" [2766968]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2928765],\n",
|
|
" [2928203],\n",
|
|
" [2925764],\n",
|
|
" [2922278],\n",
|
|
" [2922144],\n",
|
|
" [2920138],\n",
|
|
" [2919364],\n",
|
|
" [2918770],\n",
|
|
" [2918353],\n",
|
|
" [2918263],\n",
|
|
" [2918198],\n",
|
|
" [2916287]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931218],\n",
|
|
" [2931036],\n",
|
|
" [2930523],\n",
|
|
" [2930085],\n",
|
|
" [2929570],\n",
|
|
" [2929174],\n",
|
|
" [2929138],\n",
|
|
" [2926631],\n",
|
|
" [2925296],\n",
|
|
" [2925284],\n",
|
|
" [2924286],\n",
|
|
" [2924118],\n",
|
|
" [2924032],\n",
|
|
" [2922986],\n",
|
|
" [2922963],\n",
|
|
" [2921526],\n",
|
|
" [2921512],\n",
|
|
" [2917756],\n",
|
|
" [2788308]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2930560],\n",
|
|
" [2930422],\n",
|
|
" [2930408],\n",
|
|
" [2926143],\n",
|
|
" [2924623],\n",
|
|
" [2919561],\n",
|
|
" [2904196],\n",
|
|
" [2903656],\n",
|
|
" [2903586],\n",
|
|
" [2903177],\n",
|
|
" [2895346],\n",
|
|
" [2880001],\n",
|
|
" [2879931],\n",
|
|
" [2879921],\n",
|
|
" [2878992],\n",
|
|
" [2875829],\n",
|
|
" [2875342],\n",
|
|
" [2716945],\n",
|
|
" [2715624],\n",
|
|
" [2697428],\n",
|
|
" [2697417],\n",
|
|
" [2697398],\n",
|
|
" [2697279],\n",
|
|
" [2694632],\n",
|
|
" [2690372],\n",
|
|
" [2676830],\n",
|
|
" [2675119],\n",
|
|
" [2674161],\n",
|
|
" [2664583],\n",
|
|
" [2446884],\n",
|
|
" [2434823],\n",
|
|
" [2434797],\n",
|
|
" [2434530],\n",
|
|
" [2430116],\n",
|
|
" [2430041],\n",
|
|
" [2429879],\n",
|
|
" [2420123],\n",
|
|
" [2381123]]),\n",
|
|
" array([[2931916],\n",
|
|
" [2922372],\n",
|
|
" [2922326],\n",
|
|
" [2917223]]),\n",
|
|
" array([[2931909],\n",
|
|
" [2931225],\n",
|
|
" [2923437],\n",
|
|
" [2888582],\n",
|
|
" [2887913],\n",
|
|
" [2886406],\n",
|
|
" [2886360],\n",
|
|
" [2885952],\n",
|
|
" [2885884],\n",
|
|
" [2699937],\n",
|
|
" [2699579],\n",
|
|
" [2691612],\n",
|
|
" [2691372],\n",
|
|
" [2691142],\n",
|
|
" [2677448],\n",
|
|
" [2676538],\n",
|
|
" [2676083],\n",
|
|
" [2676071],\n",
|
|
" [2675946],\n",
|
|
" [2675677],\n",
|
|
" [2675377]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2931676],\n",
|
|
" [2931366],\n",
|
|
" [2931353],\n",
|
|
" [2931293],\n",
|
|
" [2931026],\n",
|
|
" [2904918]]),\n",
|
|
" array([[2931905],\n",
|
|
" [2926594],\n",
|
|
" [2925774],\n",
|
|
" [2854216],\n",
|
|
" [2853487],\n",
|
|
" [2853451],\n",
|
|
" [2852907],\n",
|
|
" [2852720],\n",
|
|
" [2851362],\n",
|
|
" [2850212],\n",
|
|
" [2848662],\n",
|
|
" [2848526],\n",
|
|
" [2845567],\n",
|
|
" [2841134],\n",
|
|
" [2839531],\n",
|
|
" [2839487],\n",
|
|
" [2810703]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2931813],\n",
|
|
" [2928982],\n",
|
|
" [2928969],\n",
|
|
" [2921946],\n",
|
|
" [2920959],\n",
|
|
" [2908001],\n",
|
|
" [2891467],\n",
|
|
" [2891450],\n",
|
|
" [2891212],\n",
|
|
" [2890909],\n",
|
|
" [2887826],\n",
|
|
" [2887697],\n",
|
|
" [2887446],\n",
|
|
" [2887430],\n",
|
|
" [2887379],\n",
|
|
" [2887280],\n",
|
|
" [2887228],\n",
|
|
" [2879765],\n",
|
|
" [2879734],\n",
|
|
" [2879715],\n",
|
|
" [2876609],\n",
|
|
" [2876551],\n",
|
|
" [2746627],\n",
|
|
" [2743760],\n",
|
|
" [2743736],\n",
|
|
" [2726235],\n",
|
|
" [2726221],\n",
|
|
" [2719381],\n",
|
|
" [2694982],\n",
|
|
" [2694729],\n",
|
|
" [2694708],\n",
|
|
" [2693628],\n",
|
|
" [2693276]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931794]]),\n",
|
|
" array([[2931912],\n",
|
|
" [2931601],\n",
|
|
" [2930518],\n",
|
|
" [2929938],\n",
|
|
" [2922532],\n",
|
|
" [2922157],\n",
|
|
" [2921181]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931106],\n",
|
|
" [2922645]]),\n",
|
|
" array([[2931913],\n",
|
|
" [2870941]]),\n",
|
|
" array([[2931913],\n",
|
|
" [2931045],\n",
|
|
" [2929749],\n",
|
|
" [2877062],\n",
|
|
" [2812203],\n",
|
|
" [2797260],\n",
|
|
" [2795503],\n",
|
|
" [2795440]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2924576],\n",
|
|
" [2924534],\n",
|
|
" [2924507],\n",
|
|
" [2908696],\n",
|
|
" [2908571],\n",
|
|
" [2844418],\n",
|
|
" [2800986],\n",
|
|
" [2792963],\n",
|
|
" [2791752],\n",
|
|
" [2788315],\n",
|
|
" [2786473],\n",
|
|
" [2785942]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2922788]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931854],\n",
|
|
" [2931753],\n",
|
|
" [2931630],\n",
|
|
" [2917891],\n",
|
|
" [2917865],\n",
|
|
" [2917628],\n",
|
|
" [2856553],\n",
|
|
" [2854205],\n",
|
|
" [2854173],\n",
|
|
" [2854117],\n",
|
|
" [2854092],\n",
|
|
" [2852962],\n",
|
|
" [2852626],\n",
|
|
" [2852434],\n",
|
|
" [2852113],\n",
|
|
" [2848613],\n",
|
|
" [2848184],\n",
|
|
" [2848173],\n",
|
|
" [2848086],\n",
|
|
" [2306777],\n",
|
|
" [2304062],\n",
|
|
" [2303987],\n",
|
|
" [2301281],\n",
|
|
" [2301245],\n",
|
|
" [2298256],\n",
|
|
" [2288612],\n",
|
|
" [2287591],\n",
|
|
" [2287063],\n",
|
|
" [2286592],\n",
|
|
" [2286565],\n",
|
|
" [2286552],\n",
|
|
" [2285473],\n",
|
|
" [2268215],\n",
|
|
" [2248623],\n",
|
|
" [2248581],\n",
|
|
" [2248538],\n",
|
|
" [2248487],\n",
|
|
" [2248101],\n",
|
|
" [2247102],\n",
|
|
" [2246874],\n",
|
|
" [2246770],\n",
|
|
" [2246685],\n",
|
|
" [2246671],\n",
|
|
" [2235838],\n",
|
|
" [2232842],\n",
|
|
" [2227189],\n",
|
|
" [2227157],\n",
|
|
" [2218362],\n",
|
|
" [2218096],\n",
|
|
" [2218059],\n",
|
|
" [2218049],\n",
|
|
" [2213424],\n",
|
|
" [2207214],\n",
|
|
" [2207203],\n",
|
|
" [2206945],\n",
|
|
" [2205394],\n",
|
|
" [1437004],\n",
|
|
" [1412471],\n",
|
|
" [1329259],\n",
|
|
" [1329172],\n",
|
|
" [ 620041],\n",
|
|
" [ 126150],\n",
|
|
" [ 126014],\n",
|
|
" [ 125924],\n",
|
|
" [ 120726]]),\n",
|
|
" array([[2931905],\n",
|
|
" [2931834],\n",
|
|
" [2930909]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931205],\n",
|
|
" [2929501],\n",
|
|
" [2929337],\n",
|
|
" [2928967],\n",
|
|
" [2928956],\n",
|
|
" [2924507],\n",
|
|
" [2922931],\n",
|
|
" [2922279],\n",
|
|
" [2922209],\n",
|
|
" [2921169],\n",
|
|
" [2920759],\n",
|
|
" [2919581],\n",
|
|
" [2915249],\n",
|
|
" [2912902],\n",
|
|
" [2912364],\n",
|
|
" [2911355],\n",
|
|
" [2905342],\n",
|
|
" [2897961],\n",
|
|
" [2888053],\n",
|
|
" [2887676],\n",
|
|
" [2886683],\n",
|
|
" [2817723],\n",
|
|
" [2817417],\n",
|
|
" [2817373],\n",
|
|
" [2756656],\n",
|
|
" [2756636],\n",
|
|
" [2756598],\n",
|
|
" [2754176]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2927761],\n",
|
|
" [2927100],\n",
|
|
" [2926753],\n",
|
|
" [2926736],\n",
|
|
" [2926041],\n",
|
|
" [2911950],\n",
|
|
" [2784444],\n",
|
|
" [2770958]]),\n",
|
|
" array([[2931906],\n",
|
|
" [2931597],\n",
|
|
" [2922876],\n",
|
|
" [2922583],\n",
|
|
" [2922548],\n",
|
|
" [2863109],\n",
|
|
" [2860556],\n",
|
|
" [2860122],\n",
|
|
" [2860111],\n",
|
|
" [2858267],\n",
|
|
" [2858243],\n",
|
|
" [2856135],\n",
|
|
" [2855974],\n",
|
|
" [2853999],\n",
|
|
" [2853967],\n",
|
|
" [2853953],\n",
|
|
" [2809578]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931229],\n",
|
|
" [2930187],\n",
|
|
" [2879665],\n",
|
|
" [2879652],\n",
|
|
" [2879639],\n",
|
|
" [2873669],\n",
|
|
" [2869908],\n",
|
|
" [2856907],\n",
|
|
" [2856384],\n",
|
|
" [2854508]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2915964],\n",
|
|
" [2915904],\n",
|
|
" [2899590],\n",
|
|
" [2899447],\n",
|
|
" [2841132],\n",
|
|
" [2840721],\n",
|
|
" [2840623],\n",
|
|
" [2840541],\n",
|
|
" [2838890]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2883828],\n",
|
|
" [2882916],\n",
|
|
" [2882905],\n",
|
|
" [2882776],\n",
|
|
" [2865878]]),\n",
|
|
" array([[2931907],\n",
|
|
" [2931893],\n",
|
|
" [2891233],\n",
|
|
" [2891139],\n",
|
|
" [2890837],\n",
|
|
" [2890808],\n",
|
|
" [2881959],\n",
|
|
" [2881935],\n",
|
|
" [2879145],\n",
|
|
" [2760023],\n",
|
|
" [2759242],\n",
|
|
" [2757776],\n",
|
|
" [2753633],\n",
|
|
" [2753201]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2926552],\n",
|
|
" [2925637],\n",
|
|
" [1619093],\n",
|
|
" [1617788],\n",
|
|
" [1448968],\n",
|
|
" [1349003],\n",
|
|
" [1308387],\n",
|
|
" [1264862],\n",
|
|
" [1240496],\n",
|
|
" [1237511],\n",
|
|
" [1237492],\n",
|
|
" [1237474],\n",
|
|
" [1236378],\n",
|
|
" [1232016],\n",
|
|
" [1231582]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931559],\n",
|
|
" [2931543],\n",
|
|
" [2931284],\n",
|
|
" [2929953]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2866400],\n",
|
|
" [2855544],\n",
|
|
" [2853342],\n",
|
|
" [2853124]]),\n",
|
|
" array([[2929829],\n",
|
|
" [2929802],\n",
|
|
" [2743603],\n",
|
|
" [2728842],\n",
|
|
" [2728391],\n",
|
|
" [2709390],\n",
|
|
" [2709193]]),\n",
|
|
" array([[2931244],\n",
|
|
" [2931233],\n",
|
|
" [2931213],\n",
|
|
" [2927096],\n",
|
|
" [2926820],\n",
|
|
" [2925478],\n",
|
|
" [2924613],\n",
|
|
" [2924487]]),\n",
|
|
" array([[2882461],\n",
|
|
" [2882274],\n",
|
|
" [2881662],\n",
|
|
" [2878550],\n",
|
|
" [2878504],\n",
|
|
" [2878433],\n",
|
|
" [2877761],\n",
|
|
" [2877729],\n",
|
|
" [2877716],\n",
|
|
" [2840151]]),\n",
|
|
" array([[2931593],\n",
|
|
" [2931096],\n",
|
|
" [2910459],\n",
|
|
" [2906409],\n",
|
|
" [2906380],\n",
|
|
" [2901083],\n",
|
|
" [2900650],\n",
|
|
" [2898838],\n",
|
|
" [2893571],\n",
|
|
" [2890486]]),\n",
|
|
" array([[2900156],\n",
|
|
" [2900145],\n",
|
|
" [2898169],\n",
|
|
" [2885857],\n",
|
|
" [2870531]]),\n",
|
|
" array([[2927472],\n",
|
|
" [2927144],\n",
|
|
" [2926594],\n",
|
|
" [2926083],\n",
|
|
" [2926042],\n",
|
|
" [2924045],\n",
|
|
" [2524587],\n",
|
|
" [2524097],\n",
|
|
" [2523875],\n",
|
|
" [2523852],\n",
|
|
" [2518808],\n",
|
|
" [2511194]]),\n",
|
|
" array([[2916625],\n",
|
|
" [2913417],\n",
|
|
" [2433451],\n",
|
|
" [2365823],\n",
|
|
" [2365687],\n",
|
|
" [2365629],\n",
|
|
" [2362450],\n",
|
|
" [2362431],\n",
|
|
" [2361388],\n",
|
|
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|
|
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|
|
" [2359375],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2342166],\n",
|
|
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|
|
" [2319931],\n",
|
|
" [2319638],\n",
|
|
" [2125222],\n",
|
|
" [2120875],\n",
|
|
" [2117969],\n",
|
|
" [2117363]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2931100],\n",
|
|
" [2927906],\n",
|
|
" [2927478],\n",
|
|
" [2923241],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2391902],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2359575],\n",
|
|
" [2356705],\n",
|
|
" [2356682],\n",
|
|
" [2354377],\n",
|
|
" [2352748]]),\n",
|
|
" array([[2916625],\n",
|
|
" [2916506],\n",
|
|
" [2916476],\n",
|
|
" [2916424],\n",
|
|
" [2916399],\n",
|
|
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|
|
" [2913730],\n",
|
|
" [2913011],\n",
|
|
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|
|
" [2868771],\n",
|
|
" [2865135],\n",
|
|
" [2860480]]),\n",
|
|
" array([[2931162],\n",
|
|
" [2913278],\n",
|
|
" [2902869],\n",
|
|
" [2902603],\n",
|
|
" [2900311],\n",
|
|
" [2899764],\n",
|
|
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|
|
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|
|
" [2896781],\n",
|
|
" [2896283],\n",
|
|
" [2893265],\n",
|
|
" [2893025],\n",
|
|
" [2880965],\n",
|
|
" [2875337]]),\n",
|
|
" array([[2929665],\n",
|
|
" [2927682],\n",
|
|
" [2927672],\n",
|
|
" [2927636],\n",
|
|
" [2927210],\n",
|
|
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|
|
" [2910826],\n",
|
|
" [2910089],\n",
|
|
" [2908959],\n",
|
|
" [2908578]]),\n",
|
|
" array([[2929829],\n",
|
|
" [2929802],\n",
|
|
" [2929597],\n",
|
|
" [2929526],\n",
|
|
" [2929125],\n",
|
|
" [2770977]]),\n",
|
|
" array([[2637177],\n",
|
|
" [2637123],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2130005],\n",
|
|
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|
|
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|
|
" [2126504],\n",
|
|
" [2126213],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2107714],\n",
|
|
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|
|
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|
|
" [2061722],\n",
|
|
" [2059411],\n",
|
|
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|
|
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|
|
" [1954796],\n",
|
|
" [1953778],\n",
|
|
" [1953590],\n",
|
|
" [1761618],\n",
|
|
" [1758435],\n",
|
|
" [1537437]]),\n",
|
|
" array([[2535402],\n",
|
|
" [2534891],\n",
|
|
" [2519482],\n",
|
|
" [2519368],\n",
|
|
" [2515916],\n",
|
|
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|
|
" [2511734],\n",
|
|
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|
|
" [2511235],\n",
|
|
" [2510597],\n",
|
|
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|
|
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|
|
" [2348589],\n",
|
|
" [2252009],\n",
|
|
" [2251661],\n",
|
|
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|
|
" [2064838],\n",
|
|
" [2041636],\n",
|
|
" [2041366],\n",
|
|
" [2041255],\n",
|
|
" [2041028],\n",
|
|
" [2039432],\n",
|
|
" [2029812],\n",
|
|
" [2029658],\n",
|
|
" [2029402],\n",
|
|
" [2029170],\n",
|
|
" [2029140],\n",
|
|
" [1990494],\n",
|
|
" [1990423],\n",
|
|
" [1985983],\n",
|
|
" [1985755],\n",
|
|
" [1984061],\n",
|
|
" [1984036],\n",
|
|
" [1984017],\n",
|
|
" [1983924],\n",
|
|
" [1983707],\n",
|
|
" [1983455],\n",
|
|
" [1983433],\n",
|
|
" [1983364],\n",
|
|
" [1982089],\n",
|
|
" [1742853],\n",
|
|
" [1742841],\n",
|
|
" [1730519]]),\n",
|
|
" array([[2927472],\n",
|
|
" [2924683],\n",
|
|
" [2924517],\n",
|
|
" [2901341],\n",
|
|
" [2893755]]),\n",
|
|
" array([[2922964],\n",
|
|
" [2908909],\n",
|
|
" [2902908],\n",
|
|
" [2901974],\n",
|
|
" [2567793],\n",
|
|
" [2509893],\n",
|
|
" [2509701],\n",
|
|
" [2501446],\n",
|
|
" [2501428],\n",
|
|
" [2499783],\n",
|
|
" [2488346],\n",
|
|
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|
|
" [2357931],\n",
|
|
" [2357910],\n",
|
|
" [2357868],\n",
|
|
" [2356019],\n",
|
|
" [2355977],\n",
|
|
" [2347557],\n",
|
|
" [2345755],\n",
|
|
" [2345590],\n",
|
|
" [2344404],\n",
|
|
" [2343593],\n",
|
|
" [2342730],\n",
|
|
" [2342158],\n",
|
|
" [2333353],\n",
|
|
" [2325581],\n",
|
|
" [2324922],\n",
|
|
" [2314718],\n",
|
|
" [2312045],\n",
|
|
" [2311816],\n",
|
|
" [2298515],\n",
|
|
" [2296010],\n",
|
|
" [2286603],\n",
|
|
" [2285955],\n",
|
|
" [2285927],\n",
|
|
" [2275203],\n",
|
|
" [2272659],\n",
|
|
" [2265591],\n",
|
|
" [2260938],\n",
|
|
" [2260811],\n",
|
|
" [2238413],\n",
|
|
" [2219832],\n",
|
|
" [2219620],\n",
|
|
" [2219558],\n",
|
|
" [2219526],\n",
|
|
" [2219502],\n",
|
|
" [2214893],\n",
|
|
" [2214590],\n",
|
|
" [2213931],\n",
|
|
" [2213800],\n",
|
|
" [2209938],\n",
|
|
" [2206122],\n",
|
|
" [2166546],\n",
|
|
" [2166499],\n",
|
|
" [2166325],\n",
|
|
" [2165980],\n",
|
|
" [1912017],\n",
|
|
" [1894776],\n",
|
|
" [1894699],\n",
|
|
" [1878305],\n",
|
|
" [1692486],\n",
|
|
" [1687811],\n",
|
|
" [1687797],\n",
|
|
" [1681203],\n",
|
|
" [1641092],\n",
|
|
" [1618797],\n",
|
|
" [1618137],\n",
|
|
" [1618101],\n",
|
|
" [1618072],\n",
|
|
" [1601140],\n",
|
|
" [1600296],\n",
|
|
" [1574156],\n",
|
|
" [ 726574],\n",
|
|
" [ 722135],\n",
|
|
" [ 720808],\n",
|
|
" [ 478921],\n",
|
|
" [ 378852],\n",
|
|
" [ 43205],\n",
|
|
" [ 43109],\n",
|
|
" [ 39272],\n",
|
|
" [ 39206]]),\n",
|
|
" array([[2931345],\n",
|
|
" [2926670],\n",
|
|
" [2926037],\n",
|
|
" [2925996],\n",
|
|
" [2925777],\n",
|
|
" [2925767],\n",
|
|
" [2922899],\n",
|
|
" [2922697],\n",
|
|
" [2922420],\n",
|
|
" [2922209],\n",
|
|
" [2921359],\n",
|
|
" [2918628],\n",
|
|
" [2918608],\n",
|
|
" [2918458],\n",
|
|
" [2918314],\n",
|
|
" [2916917],\n",
|
|
" [2915921],\n",
|
|
" [2906502],\n",
|
|
" [2904976],\n",
|
|
" [2904802],\n",
|
|
" [2904786],\n",
|
|
" [2895088]]),\n",
|
|
" array([[2928977],\n",
|
|
" [2928959],\n",
|
|
" [2643630],\n",
|
|
" [2641483],\n",
|
|
" [2639218],\n",
|
|
" [2638809],\n",
|
|
" [2633769],\n",
|
|
" [2625284],\n",
|
|
" [2625002],\n",
|
|
" [2624531],\n",
|
|
" [2624516],\n",
|
|
" [2540217],\n",
|
|
" [2539294],\n",
|
|
" [2438949],\n",
|
|
" [2437912],\n",
|
|
" [2437763],\n",
|
|
" [2434290],\n",
|
|
" [2350381],\n",
|
|
" [2348196],\n",
|
|
" [2309163],\n",
|
|
" [2295479],\n",
|
|
" [2295174],\n",
|
|
" [2293205],\n",
|
|
" [2293181],\n",
|
|
" [2293128],\n",
|
|
" [2254484],\n",
|
|
" [2209054],\n",
|
|
" [2208992],\n",
|
|
" [2208686],\n",
|
|
" [2205291],\n",
|
|
" [2205219],\n",
|
|
" [2205024],\n",
|
|
" [2204873],\n",
|
|
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|
|
" [2203670],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1990724],\n",
|
|
" [1989217],\n",
|
|
" [1977299],\n",
|
|
" [1977238]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2921087],\n",
|
|
" [2916106],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2047893],\n",
|
|
" [2043323],\n",
|
|
" [2043072],\n",
|
|
" [1482732]]),\n",
|
|
" array([[2882461],\n",
|
|
" [2882448],\n",
|
|
" [2882427],\n",
|
|
" [2881685],\n",
|
|
" [2881468],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2736920],\n",
|
|
" [2736899],\n",
|
|
" [2736868],\n",
|
|
" [2484263]]),\n",
|
|
" array([[2931189],\n",
|
|
" [2931139],\n",
|
|
" [2931003],\n",
|
|
" [2930949],\n",
|
|
" [2789388],\n",
|
|
" [2788309]]),\n",
|
|
" array([[2931620],\n",
|
|
" [2929640],\n",
|
|
" [2929457],\n",
|
|
" [2929188],\n",
|
|
" [2925771]]),\n",
|
|
" array([[2931049],\n",
|
|
" [2930395],\n",
|
|
" [2916485],\n",
|
|
" [2916355],\n",
|
|
" [2803110],\n",
|
|
" [2802731],\n",
|
|
" [2802706],\n",
|
|
" [2801687],\n",
|
|
" [2801677],\n",
|
|
" [2800420],\n",
|
|
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|
|
" [2693071],\n",
|
|
" [2692327],\n",
|
|
" [2692182],\n",
|
|
" [2691975],\n",
|
|
" [2688817],\n",
|
|
" [2688798],\n",
|
|
" [2688180],\n",
|
|
" [2688113],\n",
|
|
" [2687811]]),\n",
|
|
" array([[2930160],\n",
|
|
" [2930125],\n",
|
|
" [2930093],\n",
|
|
" [2928669]]),\n",
|
|
" array([[2928977],\n",
|
|
" [1656696],\n",
|
|
" [1656501],\n",
|
|
" [1606767]]),\n",
|
|
" array([[2931713],\n",
|
|
" [2931249],\n",
|
|
" [2931234],\n",
|
|
" [2930038],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2580345],\n",
|
|
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|
|
" [2573932],\n",
|
|
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|
|
" [2568829],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2499715],\n",
|
|
" [2496262],\n",
|
|
" [2496207],\n",
|
|
" [2495117]]),\n",
|
|
" array([[2923167],\n",
|
|
" [2889351],\n",
|
|
" [2873465],\n",
|
|
" [2869402],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2594253],\n",
|
|
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|
|
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|
|
" [2350016],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2206332],\n",
|
|
" [2206284],\n",
|
|
" [2203699],\n",
|
|
" [2097738]]),\n",
|
|
" array([[2931908],\n",
|
|
" [2931742],\n",
|
|
" [2931036],\n",
|
|
" [2926701],\n",
|
|
" [2371423],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2337795],\n",
|
|
" [2337341],\n",
|
|
" [2337286],\n",
|
|
" [2336809]]),\n",
|
|
" array([[2931345],\n",
|
|
" [2931204],\n",
|
|
" [2931185],\n",
|
|
" [2902753],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2278354],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2215526],\n",
|
|
" [2214811],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2203713],\n",
|
|
" [2202944],\n",
|
|
" [2202862],\n",
|
|
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|
|
" [2189747],\n",
|
|
" [2189422],\n",
|
|
" [2188747],\n",
|
|
" [2188716],\n",
|
|
" [2188196],\n",
|
|
" [2170366]]),\n",
|
|
" array([[2931205],\n",
|
|
" [2931184],\n",
|
|
" [2930787],\n",
|
|
" [2909776],\n",
|
|
" [2903632],\n",
|
|
" [2903596],\n",
|
|
" [2903491],\n",
|
|
" [2903478],\n",
|
|
" [2519552],\n",
|
|
" [2519217],\n",
|
|
" [2519006],\n",
|
|
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|
|
" [2517778],\n",
|
|
" [2517706],\n",
|
|
" [2514097],\n",
|
|
" [2514017],\n",
|
|
" [2509964],\n",
|
|
" [2508147],\n",
|
|
" [2507510],\n",
|
|
" [2470831],\n",
|
|
" [2458363],\n",
|
|
" [2457806],\n",
|
|
" [2452046],\n",
|
|
" [2437388],\n",
|
|
" [2437128],\n",
|
|
" [2436376],\n",
|
|
" [2436363],\n",
|
|
" [2424353],\n",
|
|
" [2282182],\n",
|
|
" [2280865],\n",
|
|
" [2280626],\n",
|
|
" [2280223],\n",
|
|
" [2192132],\n",
|
|
" [2182266],\n",
|
|
" [2179098]]),\n",
|
|
" array([[2931255],\n",
|
|
" [2931163]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2854366],\n",
|
|
" [2852642],\n",
|
|
" [2851949],\n",
|
|
" [2066618],\n",
|
|
" [2029902],\n",
|
|
" [2029342],\n",
|
|
" [2029277],\n",
|
|
" [2029141],\n",
|
|
" [1852503],\n",
|
|
" [1848461]]),\n",
|
|
" array([[2931870],\n",
|
|
" [2931264],\n",
|
|
" [2899130],\n",
|
|
" [2899105],\n",
|
|
" [2898195],\n",
|
|
" [2897977],\n",
|
|
" [2897683],\n",
|
|
" [2897310],\n",
|
|
" [2897232],\n",
|
|
" [2896677],\n",
|
|
" [2896667],\n",
|
|
" [2896624],\n",
|
|
" [2896512],\n",
|
|
" [2896042],\n",
|
|
" [2892873],\n",
|
|
" [2887805],\n",
|
|
" [2887368],\n",
|
|
" [2885264],\n",
|
|
" [2860621],\n",
|
|
" [2860364],\n",
|
|
" [2860331],\n",
|
|
" [2859501],\n",
|
|
" [2856516],\n",
|
|
" [2856370],\n",
|
|
" [2830062],\n",
|
|
" [2815402],\n",
|
|
" [2814954],\n",
|
|
" [1593570],\n",
|
|
" [1568955],\n",
|
|
" [1410262],\n",
|
|
" [1311327],\n",
|
|
" [1310593]]),\n",
|
|
" array([[2931870],\n",
|
|
" [2931143],\n",
|
|
" [2931129],\n",
|
|
" [2929140],\n",
|
|
" [2914479],\n",
|
|
" [2914418],\n",
|
|
" [2912382],\n",
|
|
" [2910521],\n",
|
|
" [2903793],\n",
|
|
" [2900645],\n",
|
|
" [2892700],\n",
|
|
" [2891470],\n",
|
|
" [2884676],\n",
|
|
" [2882682],\n",
|
|
" [2882632],\n",
|
|
" [2696933],\n",
|
|
" [2696629],\n",
|
|
" [2693607],\n",
|
|
" [2693586],\n",
|
|
" [2693572],\n",
|
|
" [2690971],\n",
|
|
" [2677296],\n",
|
|
" [2677283],\n",
|
|
" [2677003],\n",
|
|
" [2676773],\n",
|
|
" [2675867],\n",
|
|
" [2675827],\n",
|
|
" [2671346],\n",
|
|
" [2646313],\n",
|
|
" [2645085],\n",
|
|
" [2644129],\n",
|
|
" [2642758],\n",
|
|
" [2639563],\n",
|
|
" [2634342],\n",
|
|
" [2634318],\n",
|
|
" [2634194],\n",
|
|
" [2629349],\n",
|
|
" [2597166],\n",
|
|
" [2596665],\n",
|
|
" [2591459],\n",
|
|
" [2591396],\n",
|
|
" [2577125],\n",
|
|
" [2575905],\n",
|
|
" [2542545],\n",
|
|
" [2428908],\n",
|
|
" [2406347],\n",
|
|
" [2406088],\n",
|
|
" [2373059],\n",
|
|
" [2219361],\n",
|
|
" [2219281],\n",
|
|
" [2131782],\n",
|
|
" [2131253],\n",
|
|
" [2130282],\n",
|
|
" [2130271],\n",
|
|
" [1823028],\n",
|
|
" [1822890],\n",
|
|
" [1822863],\n",
|
|
" [1822706],\n",
|
|
" [1813762],\n",
|
|
" [1813085],\n",
|
|
" [1795577],\n",
|
|
" [1795260],\n",
|
|
" [1782161],\n",
|
|
" [1307693],\n",
|
|
" [1304734],\n",
|
|
" [1286629],\n",
|
|
" [1285985],\n",
|
|
" [1278580],\n",
|
|
" [1245397],\n",
|
|
" [1244776],\n",
|
|
" [1243087],\n",
|
|
" [1242929],\n",
|
|
" [1242907],\n",
|
|
" [1232481],\n",
|
|
" [1230406],\n",
|
|
" [1229995]]),\n",
|
|
" array([[2931891],\n",
|
|
" [2931753],\n",
|
|
" [2931707],\n",
|
|
" [2931587],\n",
|
|
" [2929202],\n",
|
|
" [2922906],\n",
|
|
" [2911420],\n",
|
|
" [2910875],\n",
|
|
" [2910816],\n",
|
|
" [2909999],\n",
|
|
" [2909563],\n",
|
|
" [2909548],\n",
|
|
" [2907808],\n",
|
|
" [2906705],\n",
|
|
" [2906684],\n",
|
|
" [2906478],\n",
|
|
" [2906360],\n",
|
|
" [2906276]]),\n",
|
|
" array([[2922210],\n",
|
|
" [2922145],\n",
|
|
" [2922119],\n",
|
|
" [2922107],\n",
|
|
" [2921436],\n",
|
|
" [2921422],\n",
|
|
" [2917427],\n",
|
|
" [2906599],\n",
|
|
" [2904423],\n",
|
|
" [2855392],\n",
|
|
" [2776874],\n",
|
|
" [2775355],\n",
|
|
" [2775319],\n",
|
|
" [2773712]]),\n",
|
|
" array([[2916001],\n",
|
|
" [2915974],\n",
|
|
" [2886420],\n",
|
|
" [2886336],\n",
|
|
" [2885519],\n",
|
|
" [2884385],\n",
|
|
" [2373035],\n",
|
|
" [2372893],\n",
|
|
" [2370161],\n",
|
|
" [2369730],\n",
|
|
" [2369555],\n",
|
|
" [2367929],\n",
|
|
" [2332133],\n",
|
|
" [2331466],\n",
|
|
" [2331282],\n",
|
|
" [2327756],\n",
|
|
" [2327696],\n",
|
|
" [2319052],\n",
|
|
" [2317115],\n",
|
|
" [2316939],\n",
|
|
" [2310089],\n",
|
|
" [2309758],\n",
|
|
" [2295863],\n",
|
|
" [2295534],\n",
|
|
" [2288773],\n",
|
|
" [2283392],\n",
|
|
" [2258361],\n",
|
|
" [2258349],\n",
|
|
" [2258197],\n",
|
|
" [2254240],\n",
|
|
" [2241423],\n",
|
|
" [2235119],\n",
|
|
" [1311226],\n",
|
|
" [1289031],\n",
|
|
" [1276428],\n",
|
|
" [1276238],\n",
|
|
" [1263224]]),\n",
|
|
" array([[2931205],\n",
|
|
" [2931147],\n",
|
|
" [2930351],\n",
|
|
" [2924487]]),\n",
|
|
" array([[2916001],\n",
|
|
" [2905385],\n",
|
|
" [2905351],\n",
|
|
" [2813160]]),\n",
|
|
" array([[2928962],\n",
|
|
" [2928846],\n",
|
|
" [2928757],\n",
|
|
" [2928501],\n",
|
|
" [2927601],\n",
|
|
" [2927346],\n",
|
|
" [2899727],\n",
|
|
" [2899216],\n",
|
|
" [2892919],\n",
|
|
" [2885014],\n",
|
|
" [2872918],\n",
|
|
" [2872193],\n",
|
|
" [2872178],\n",
|
|
" [2871902],\n",
|
|
" [2766347],\n",
|
|
" [2766208]]),\n",
|
|
" array([[2931255],\n",
|
|
" [2930403],\n",
|
|
" [2810370],\n",
|
|
" [2808419]]),\n",
|
|
" array([[2916001],\n",
|
|
" [2915787],\n",
|
|
" [2914970],\n",
|
|
" [2910795],\n",
|
|
" [2909307],\n",
|
|
" [2905216],\n",
|
|
" [2904868],\n",
|
|
" [2904339],\n",
|
|
" [2893798],\n",
|
|
" [2893690],\n",
|
|
" [2888256],\n",
|
|
" [2888153]]),\n",
|
|
" array([[2780651],\n",
|
|
" [2780552],\n",
|
|
" [2780207],\n",
|
|
" [2710923],\n",
|
|
" [2710637],\n",
|
|
" [2710274],\n",
|
|
" [2708132],\n",
|
|
" [2703782],\n",
|
|
" [2702885],\n",
|
|
" [2702438],\n",
|
|
" [2695401],\n",
|
|
" [2693337],\n",
|
|
" [2678572],\n",
|
|
" [2677051],\n",
|
|
" [2672313],\n",
|
|
" [2665304],\n",
|
|
" [2665195],\n",
|
|
" [2663562],\n",
|
|
" [2513761],\n",
|
|
" [2513751],\n",
|
|
" [2513284],\n",
|
|
" [2509732],\n",
|
|
" [2502021],\n",
|
|
" [2470193],\n",
|
|
" [2466213],\n",
|
|
" [2465371],\n",
|
|
" [2465133],\n",
|
|
" [2463920],\n",
|
|
" [2463732],\n",
|
|
" [2462506],\n",
|
|
" [2455088],\n",
|
|
" [2454939],\n",
|
|
" [2444154],\n",
|
|
" [2444109],\n",
|
|
" [2443909],\n",
|
|
" [2440655],\n",
|
|
" [2440576],\n",
|
|
" [2440516],\n",
|
|
" [2419983],\n",
|
|
" [2419869],\n",
|
|
" [2419784],\n",
|
|
" [2418437]]),\n",
|
|
" array([[2916001],\n",
|
|
" [2911019],\n",
|
|
" [2910863],\n",
|
|
" [2790942]]),\n",
|
|
" array([[2780651],\n",
|
|
" [2754145],\n",
|
|
" [2754133],\n",
|
|
" [2732719],\n",
|
|
" [2732477],\n",
|
|
" [2732377],\n",
|
|
" [2527238],\n",
|
|
" [2510398],\n",
|
|
" [2509907],\n",
|
|
" [2501601],\n",
|
|
" [2466372],\n",
|
|
" [2464588],\n",
|
|
" [2464494],\n",
|
|
" [2462313],\n",
|
|
" [2457753],\n",
|
|
" [2457606],\n",
|
|
" [2456417],\n",
|
|
" [2455387],\n",
|
|
" [2438356],\n",
|
|
" [2438320],\n",
|
|
" [2438201],\n",
|
|
" [2437816],\n",
|
|
" [2437213],\n",
|
|
" [2437084],\n",
|
|
" [2433417]]),\n",
|
|
" array([[2929889],\n",
|
|
" [2862111],\n",
|
|
" [2842204],\n",
|
|
" [2669212],\n",
|
|
" [2668828],\n",
|
|
" [2666849],\n",
|
|
" [2666050],\n",
|
|
" [2658952],\n",
|
|
" [2646956],\n",
|
|
" [2646944],\n",
|
|
" [2459668],\n",
|
|
" [2459654],\n",
|
|
" [2459493],\n",
|
|
" [2459399],\n",
|
|
" [2459313],\n",
|
|
" [2458196],\n",
|
|
" [2457841],\n",
|
|
" [2453687],\n",
|
|
" [2453347],\n",
|
|
" [2255555],\n",
|
|
" [1841726],\n",
|
|
" [1841227],\n",
|
|
" [1841118],\n",
|
|
" [1840922],\n",
|
|
" [1840676]]),\n",
|
|
" array([[2928962],\n",
|
|
" [2928892],\n",
|
|
" [2928462],\n",
|
|
" [2926247],\n",
|
|
" [2926085],\n",
|
|
" [2917157],\n",
|
|
" [2908520],\n",
|
|
" [2906535],\n",
|
|
" [2905720]]),\n",
|
|
" array([[2931727],\n",
|
|
" [2902155],\n",
|
|
" [2902090],\n",
|
|
" [2901980]]),\n",
|
|
" array([[2931255],\n",
|
|
" [2910079],\n",
|
|
" [2905799],\n",
|
|
" [2904610],\n",
|
|
" [2904109],\n",
|
|
" [2893324],\n",
|
|
" [2888918],\n",
|
|
" [2888828],\n",
|
|
" [2886674],\n",
|
|
" [2885876],\n",
|
|
" [2885815],\n",
|
|
" [2790398],\n",
|
|
" [2790304],\n",
|
|
" [2789495],\n",
|
|
" [2779741],\n",
|
|
" [2755102],\n",
|
|
" [2755035]]),\n",
|
|
" array([[2928962],\n",
|
|
" [2928485]]),\n",
|
|
" array([[2931900],\n",
|
|
" [2931416],\n",
|
|
" [2918909],\n",
|
|
" [2762083],\n",
|
|
" [2761852],\n",
|
|
" [2761205],\n",
|
|
" [2760235]]),\n",
|
|
" array([[2928962],\n",
|
|
" [2926791],\n",
|
|
" [2916660]]),\n",
|
|
" array([[2780651],\n",
|
|
" [2737534]]),\n",
|
|
" array([[2928198],\n",
|
|
" [2926642],\n",
|
|
" [2925166],\n",
|
|
" [2868824],\n",
|
|
" [2859451]]),\n",
|
|
" array([[2928198],\n",
|
|
" [2433449],\n",
|
|
" [2433308],\n",
|
|
" [2407816],\n",
|
|
" [2407758],\n",
|
|
" [2407700],\n",
|
|
" [2399591],\n",
|
|
" [2398173],\n",
|
|
" [2316764],\n",
|
|
" [2314049],\n",
|
|
" [2314017],\n",
|
|
" [2313587],\n",
|
|
" [2292321],\n",
|
|
" [2292262],\n",
|
|
" [2288813],\n",
|
|
" [2283860],\n",
|
|
" [2283770],\n",
|
|
" [2283523],\n",
|
|
" [2220397],\n",
|
|
" [2219632],\n",
|
|
" [2218346],\n",
|
|
" [2213689],\n",
|
|
" [2213582],\n",
|
|
" [2213539],\n",
|
|
" [2213482],\n",
|
|
" [2213100],\n",
|
|
" [1546003],\n",
|
|
" [1413928],\n",
|
|
" [1241653],\n",
|
|
" [1229953],\n",
|
|
" [ 803528],\n",
|
|
" [ 803421],\n",
|
|
" [ 803331],\n",
|
|
" [ 803121],\n",
|
|
" [ 800204],\n",
|
|
" [ 800024],\n",
|
|
" [ 798422],\n",
|
|
" [ 797760],\n",
|
|
" [ 797199],\n",
|
|
" [ 796049],\n",
|
|
" [ 789967],\n",
|
|
" [ 789635],\n",
|
|
" [ 789225],\n",
|
|
" [ 788934],\n",
|
|
" [ 787600],\n",
|
|
" [ 778517],\n",
|
|
" [ 778487],\n",
|
|
" [ 777422],\n",
|
|
" [ 777419],\n",
|
|
" [ 777374],\n",
|
|
" [ 777331],\n",
|
|
" [ 774449]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2887627],\n",
|
|
" [2887481],\n",
|
|
" [2887467],\n",
|
|
" [2884399],\n",
|
|
" [2884222],\n",
|
|
" [2847869],\n",
|
|
" [2847138],\n",
|
|
" [2847061],\n",
|
|
" [2843177],\n",
|
|
" [2843162],\n",
|
|
" [2841155]]),\n",
|
|
" array([[2931891],\n",
|
|
" [2931867],\n",
|
|
" [2761159],\n",
|
|
" [2761110],\n",
|
|
" [2760338],\n",
|
|
" [2759020],\n",
|
|
" [2758586],\n",
|
|
" [2757328],\n",
|
|
" [2757000],\n",
|
|
" [2756970],\n",
|
|
" [2720067],\n",
|
|
" [2709072]]),\n",
|
|
" array([[2931891],\n",
|
|
" [2910701],\n",
|
|
" [2910482],\n",
|
|
" [2910445],\n",
|
|
" [2910404],\n",
|
|
" [2909945],\n",
|
|
" [2786653],\n",
|
|
" [2577856],\n",
|
|
" [2562504]]),\n",
|
|
" array([[2916001],\n",
|
|
" [2902955],\n",
|
|
" [2901907],\n",
|
|
" [2896265],\n",
|
|
" [2855239]]),\n",
|
|
" array([[2928224],\n",
|
|
" [2928185],\n",
|
|
" [2928132],\n",
|
|
" [2927369],\n",
|
|
" [2927054],\n",
|
|
" [2925615],\n",
|
|
" [2924231],\n",
|
|
" [2923304],\n",
|
|
" [2620005],\n",
|
|
" [2438852],\n",
|
|
" [2435438],\n",
|
|
" [2435394],\n",
|
|
" [2434809],\n",
|
|
" [2431636],\n",
|
|
" [2431559],\n",
|
|
" [2423834],\n",
|
|
" [2423824],\n",
|
|
" [2420849],\n",
|
|
" [2420538],\n",
|
|
" [2418425],\n",
|
|
" [2336005],\n",
|
|
" [2333089],\n",
|
|
" [2333056],\n",
|
|
" [2328992],\n",
|
|
" [2324978],\n",
|
|
" [2314086],\n",
|
|
" [2314071],\n",
|
|
" [1491192],\n",
|
|
" [1491168],\n",
|
|
" [1490581],\n",
|
|
" [1426410],\n",
|
|
" [1338864],\n",
|
|
" [1338842],\n",
|
|
" [1338477],\n",
|
|
" [1337904],\n",
|
|
" [1326145],\n",
|
|
" [1290904],\n",
|
|
" [1226459],\n",
|
|
" [1225647],\n",
|
|
" [1225169],\n",
|
|
" [1224792],\n",
|
|
" [1224269]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2928200],\n",
|
|
" [2915828],\n",
|
|
" [2906805],\n",
|
|
" [2906559],\n",
|
|
" [2906545],\n",
|
|
" [2807679],\n",
|
|
" [2800420],\n",
|
|
" [2776096],\n",
|
|
" [2725544]]),\n",
|
|
" array([[2931879],\n",
|
|
" [2924610],\n",
|
|
" [2923817],\n",
|
|
" [2819661]]),\n",
|
|
" array([[2931711],\n",
|
|
" [2931687],\n",
|
|
" [2929685],\n",
|
|
" [2824897],\n",
|
|
" [2688588],\n",
|
|
" [2683892],\n",
|
|
" [2683775],\n",
|
|
" [2679503],\n",
|
|
" [2679131],\n",
|
|
" [2676323],\n",
|
|
" [2675218],\n",
|
|
" [2674871],\n",
|
|
" [2674707],\n",
|
|
" [2672969],\n",
|
|
" [2664294],\n",
|
|
" [2378133],\n",
|
|
" [2367942],\n",
|
|
" [1863725],\n",
|
|
" [1851079],\n",
|
|
" [1850996],\n",
|
|
" [1850937],\n",
|
|
" [1850841],\n",
|
|
" [1850531],\n",
|
|
" [1850339],\n",
|
|
" [1849386],\n",
|
|
" [1663795],\n",
|
|
" [1610315],\n",
|
|
" [1455696],\n",
|
|
" [1343110],\n",
|
|
" [1324811]]),\n",
|
|
" array([[2825292],\n",
|
|
" [2825188],\n",
|
|
" [2747062],\n",
|
|
" [2743744],\n",
|
|
" [2743622],\n",
|
|
" [2742942],\n",
|
|
" [2741864],\n",
|
|
" [2738455],\n",
|
|
" [2738445],\n",
|
|
" [2729684],\n",
|
|
" [2729667],\n",
|
|
" [2729419]]),\n",
|
|
" array([[2928892],\n",
|
|
" [2926728],\n",
|
|
" [2924125],\n",
|
|
" [2723907],\n",
|
|
" [2619563],\n",
|
|
" [2619522],\n",
|
|
" [2618488],\n",
|
|
" [2617722],\n",
|
|
" [2617552],\n",
|
|
" [2541715],\n",
|
|
" [2525184],\n",
|
|
" [2524897],\n",
|
|
" [2522775],\n",
|
|
" [2522168],\n",
|
|
" [2431695],\n",
|
|
" [2431403],\n",
|
|
" [2390054],\n",
|
|
" [2388262],\n",
|
|
" [2388134],\n",
|
|
" [2385456],\n",
|
|
" [2384429],\n",
|
|
" [2361197],\n",
|
|
" [2360809],\n",
|
|
" [2360771],\n",
|
|
" [2359624],\n",
|
|
" [2359594],\n",
|
|
" [2359562],\n",
|
|
" [2358627],\n",
|
|
" [2358467],\n",
|
|
" [2358266],\n",
|
|
" [2343173],\n",
|
|
" [2337027],\n",
|
|
" [2335216],\n",
|
|
" [2318741],\n",
|
|
" [2318481],\n",
|
|
" [2318135],\n",
|
|
" [2317675],\n",
|
|
" [2317611]]),\n",
|
|
" array([[2931810],\n",
|
|
" [2931770],\n",
|
|
" [2931731],\n",
|
|
" [2931716],\n",
|
|
" [2916669],\n",
|
|
" [2914806],\n",
|
|
" [2862606],\n",
|
|
" [2862583],\n",
|
|
" [2403592],\n",
|
|
" [2403531],\n",
|
|
" [2402218]]),\n",
|
|
" array([[2930174],\n",
|
|
" [2930079],\n",
|
|
" [2928959],\n",
|
|
" [2909714],\n",
|
|
" [2909122],\n",
|
|
" [2906935],\n",
|
|
" [2906918],\n",
|
|
" [2905918],\n",
|
|
" [2827293],\n",
|
|
" [2814691],\n",
|
|
" [2814298],\n",
|
|
" [2796698],\n",
|
|
" [2796473],\n",
|
|
" [2787461],\n",
|
|
" [2787436],\n",
|
|
" [2783193],\n",
|
|
" [2783064]]),\n",
|
|
" array([[2898910],\n",
|
|
" [2898043],\n",
|
|
" [2848165],\n",
|
|
" [2848150],\n",
|
|
" [2847863],\n",
|
|
" [2847814],\n",
|
|
" [2847083],\n",
|
|
" [2846541],\n",
|
|
" [2832106],\n",
|
|
" [2832048],\n",
|
|
" [2819053],\n",
|
|
" [2819025],\n",
|
|
" [2818905],\n",
|
|
" [2817383]]),\n",
|
|
" array([[2929892],\n",
|
|
" [2929686],\n",
|
|
" [2929467],\n",
|
|
" [2929004],\n",
|
|
" [2928474],\n",
|
|
" [2928369],\n",
|
|
" [2928305],\n",
|
|
" [2928266],\n",
|
|
" [2928252],\n",
|
|
" [2925108],\n",
|
|
" [2913221],\n",
|
|
" [2911302],\n",
|
|
" [2909366],\n",
|
|
" [2908752],\n",
|
|
" [2908737],\n",
|
|
" [2784469],\n",
|
|
" [2781054],\n",
|
|
" [2780935],\n",
|
|
" [2773203],\n",
|
|
" [2773190],\n",
|
|
" [2770286],\n",
|
|
" [2768546],\n",
|
|
" [2765128],\n",
|
|
" [2762781],\n",
|
|
" [2490676],\n",
|
|
" [2466153],\n",
|
|
" [2460095],\n",
|
|
" [2455606],\n",
|
|
" [2453720],\n",
|
|
" [2438035],\n",
|
|
" [2434492],\n",
|
|
" [2434192],\n",
|
|
" [2433335],\n",
|
|
" [2433299],\n",
|
|
" [2433258],\n",
|
|
" [2423308],\n",
|
|
" [2373668],\n",
|
|
" [2373640],\n",
|
|
" [2368059],\n",
|
|
" [2295911],\n",
|
|
" [2292576],\n",
|
|
" [1880703],\n",
|
|
" [1879839],\n",
|
|
" [1879687],\n",
|
|
" [1853980]]),\n",
|
|
" array([[2929892],\n",
|
|
" [2929686],\n",
|
|
" [2929673],\n",
|
|
" [2922947],\n",
|
|
" [2887290],\n",
|
|
" [2886925],\n",
|
|
" [2886912],\n",
|
|
" [2886585],\n",
|
|
" [2881613],\n",
|
|
" [2868075],\n",
|
|
" [2867940]]),\n",
|
|
" array([[2919167],\n",
|
|
" [2919156],\n",
|
|
" [2918750],\n",
|
|
" [2912486],\n",
|
|
" [2912293]]),\n",
|
|
" array([[2930893],\n",
|
|
" [2918249],\n",
|
|
" [2918239],\n",
|
|
" [2917757],\n",
|
|
" [2917688],\n",
|
|
" [2917677],\n",
|
|
" [2916902],\n",
|
|
" [2912872],\n",
|
|
" [2912782],\n",
|
|
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|
|
" [2774477],\n",
|
|
" [2770132],\n",
|
|
" [2770082],\n",
|
|
" [2769143],\n",
|
|
" [2768539],\n",
|
|
" [2765186],\n",
|
|
" [2765158],\n",
|
|
" [2764699],\n",
|
|
" [2763896],\n",
|
|
" [2760618],\n",
|
|
" [2750634],\n",
|
|
" [2749007],\n",
|
|
" [2748947],\n",
|
|
" [2748918],\n",
|
|
" [2748809],\n",
|
|
" [2748673],\n",
|
|
" [2741226],\n",
|
|
" [2500322],\n",
|
|
" [2495480]]),\n",
|
|
" array([[2767529],\n",
|
|
" [2700289],\n",
|
|
" [2700264],\n",
|
|
" [2700117],\n",
|
|
" [2698343]]),\n",
|
|
" array([[2930623],\n",
|
|
" [2917731],\n",
|
|
" [2916794],\n",
|
|
" [2916770],\n",
|
|
" [2479674],\n",
|
|
" [2411438],\n",
|
|
" [2410240],\n",
|
|
" [2407995],\n",
|
|
" [2401758],\n",
|
|
" [2401508],\n",
|
|
" [2398151],\n",
|
|
" [2373113],\n",
|
|
" [2364950],\n",
|
|
" [2360207],\n",
|
|
" [2340407],\n",
|
|
" [2339533],\n",
|
|
" [2339487],\n",
|
|
" [2337930],\n",
|
|
" [2337764],\n",
|
|
" [2293882],\n",
|
|
" [2258848],\n",
|
|
" [2256986],\n",
|
|
" [2256763],\n",
|
|
" [2253378],\n",
|
|
" [2233483],\n",
|
|
" [2233441],\n",
|
|
" [2232405],\n",
|
|
" [2231161],\n",
|
|
" [2231119],\n",
|
|
" [2230889],\n",
|
|
" [2229923],\n",
|
|
" [2226256],\n",
|
|
" [2226133],\n",
|
|
" [2226088],\n",
|
|
" [2226004],\n",
|
|
" [2223926],\n",
|
|
" [2222810],\n",
|
|
" [2222740],\n",
|
|
" [2222090],\n",
|
|
" [2221605],\n",
|
|
" [2221008],\n",
|
|
" [2114013],\n",
|
|
" [2111066],\n",
|
|
" [2110346],\n",
|
|
" [2066374],\n",
|
|
" [2066234],\n",
|
|
" [2065818],\n",
|
|
" [2063840],\n",
|
|
" [2062885],\n",
|
|
" [2061016],\n",
|
|
" [2057691],\n",
|
|
" [2057227],\n",
|
|
" [2057118],\n",
|
|
" [2055605],\n",
|
|
" [2029935],\n",
|
|
" [2029820],\n",
|
|
" [2025559],\n",
|
|
" [2025502],\n",
|
|
" [2025428],\n",
|
|
" [2023749],\n",
|
|
" [2023665],\n",
|
|
" [2021966],\n",
|
|
" [2019892],\n",
|
|
" [1992985],\n",
|
|
" [1986479]]),\n",
|
|
" array([[2927616],\n",
|
|
" [2514897],\n",
|
|
" [2510377],\n",
|
|
" [2364597],\n",
|
|
" [2363675],\n",
|
|
" [2363114],\n",
|
|
" [2362333],\n",
|
|
" [2361203],\n",
|
|
" [2357702],\n",
|
|
" [2355783],\n",
|
|
" [2339659],\n",
|
|
" [2335146],\n",
|
|
" [2335087],\n",
|
|
" [2291475],\n",
|
|
" [2290528],\n",
|
|
" [2290441],\n",
|
|
" [2058684],\n",
|
|
" [2056100],\n",
|
|
" [2044111],\n",
|
|
" [2044077],\n",
|
|
" [2043231],\n",
|
|
" [2043214],\n",
|
|
" [2040616],\n",
|
|
" [2040582],\n",
|
|
" [2040564],\n",
|
|
" [2036527],\n",
|
|
" [2036441],\n",
|
|
" [1849307],\n",
|
|
" [1590172],\n",
|
|
" [1415471],\n",
|
|
" [1409680],\n",
|
|
" [1409215],\n",
|
|
" [1409111],\n",
|
|
" [1409063],\n",
|
|
" [1387708],\n",
|
|
" [1385786],\n",
|
|
" [1385676],\n",
|
|
" [1385520],\n",
|
|
" [1376051],\n",
|
|
" [1146933],\n",
|
|
" [1146912],\n",
|
|
" [ 60750],\n",
|
|
" [ 59715],\n",
|
|
" [ 59107],\n",
|
|
" [ 59076],\n",
|
|
" [ 59012]]),\n",
|
|
" array([[2926421],\n",
|
|
" [2926117],\n",
|
|
" [2892409],\n",
|
|
" [2892277],\n",
|
|
" [2889991],\n",
|
|
" [2681215],\n",
|
|
" [2681135],\n",
|
|
" [2585185],\n",
|
|
" [2584308],\n",
|
|
" [2571526],\n",
|
|
" [2571317],\n",
|
|
" [2567064]]),\n",
|
|
" array([[2928892],\n",
|
|
" [2878379],\n",
|
|
" [2878367],\n",
|
|
" [2488806],\n",
|
|
" [2455604],\n",
|
|
" [2455534],\n",
|
|
" [2455451],\n",
|
|
" [2452374],\n",
|
|
" [2046789]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2930054],\n",
|
|
" [2930017],\n",
|
|
" [2892639],\n",
|
|
" [2889226],\n",
|
|
" [2886456],\n",
|
|
" [2886442],\n",
|
|
" [2506977],\n",
|
|
" [2506902],\n",
|
|
" [2506777],\n",
|
|
" [2505274],\n",
|
|
" [2502839],\n",
|
|
" [2502752],\n",
|
|
" [2502701],\n",
|
|
" [2492449],\n",
|
|
" [2492417],\n",
|
|
" [2492078],\n",
|
|
" [2491417],\n",
|
|
" [2489823],\n",
|
|
" [2480888],\n",
|
|
" [2480835],\n",
|
|
" [2475023],\n",
|
|
" [2475004],\n",
|
|
" [2459668],\n",
|
|
" [2459647],\n",
|
|
" [2459554],\n",
|
|
" [2458278],\n",
|
|
" [2458157],\n",
|
|
" [2436243],\n",
|
|
" [2434207],\n",
|
|
" [2434150],\n",
|
|
" [2428663],\n",
|
|
" [2428641],\n",
|
|
" [2428485],\n",
|
|
" [2425462],\n",
|
|
" [2405932],\n",
|
|
" [2401629],\n",
|
|
" [2400558],\n",
|
|
" [2400423],\n",
|
|
" [2399993],\n",
|
|
" [2390822],\n",
|
|
" [2388271],\n",
|
|
" [2388199],\n",
|
|
" [2323698],\n",
|
|
" [2323566],\n",
|
|
" [2322450]]),\n",
|
|
" array([[2930893],\n",
|
|
" [2930599],\n",
|
|
" [2930577],\n",
|
|
" [2929846],\n",
|
|
" [2929025],\n",
|
|
" [2928068],\n",
|
|
" [2913689],\n",
|
|
" [2912413],\n",
|
|
" [2908682],\n",
|
|
" [2908577],\n",
|
|
" [2908552],\n",
|
|
" [2902368],\n",
|
|
" [2901957],\n",
|
|
" [2855496],\n",
|
|
" [2855166],\n",
|
|
" [2851008],\n",
|
|
" [2850622],\n",
|
|
" [2849220],\n",
|
|
" [2847846],\n",
|
|
" [2846779],\n",
|
|
" [2830082],\n",
|
|
" [2829715],\n",
|
|
" [2829449],\n",
|
|
" [2710150],\n",
|
|
" [2709797]]),\n",
|
|
" array([[2926421],\n",
|
|
" [2925865],\n",
|
|
" [2891333],\n",
|
|
" [2655842],\n",
|
|
" [2655827],\n",
|
|
" [2653158],\n",
|
|
" [2640299],\n",
|
|
" [2640228],\n",
|
|
" [2639364],\n",
|
|
" [2541015],\n",
|
|
" [2539562],\n",
|
|
" [2539144],\n",
|
|
" [2535412],\n",
|
|
" [2516884],\n",
|
|
" [2516763],\n",
|
|
" [2516489],\n",
|
|
" [2500668],\n",
|
|
" [2500532],\n",
|
|
" [2492775],\n",
|
|
" [2447724],\n",
|
|
" [2447691],\n",
|
|
" [2445311]]),\n",
|
|
" array([[2928889],\n",
|
|
" [2928741],\n",
|
|
" [2919226],\n",
|
|
" [2918904],\n",
|
|
" [2906384],\n",
|
|
" [2902844],\n",
|
|
" [2901206],\n",
|
|
" [2900369],\n",
|
|
" [2899128],\n",
|
|
" [2813571]]),\n",
|
|
" array([[2930893],\n",
|
|
" [2930858],\n",
|
|
" [2930347],\n",
|
|
" [2930030],\n",
|
|
" [2929829],\n",
|
|
" [2929808],\n",
|
|
" [2926062],\n",
|
|
" [2925934],\n",
|
|
" [2925378],\n",
|
|
" [2922835],\n",
|
|
" [2916634],\n",
|
|
" [2913644],\n",
|
|
" [2913432],\n",
|
|
" [2878653]]),\n",
|
|
" array([[2929892],\n",
|
|
" [2929563],\n",
|
|
" [2881025],\n",
|
|
" [2878356],\n",
|
|
" [2790782],\n",
|
|
" [2719958],\n",
|
|
" [2719656]]),\n",
|
|
" array([[2928892],\n",
|
|
" [2921247],\n",
|
|
" [2914907],\n",
|
|
" [2914721],\n",
|
|
" [2537204],\n",
|
|
" [2537193],\n",
|
|
" [2533938],\n",
|
|
" [2533068],\n",
|
|
" [2532160],\n",
|
|
" [1590919],\n",
|
|
" [1590878],\n",
|
|
" [1452064],\n",
|
|
" [1452016],\n",
|
|
" [1353069],\n",
|
|
" [1332277],\n",
|
|
" [1290692],\n",
|
|
" [1290058],\n",
|
|
" [1289008],\n",
|
|
" [ 151422],\n",
|
|
" [ 98706],\n",
|
|
" [ 98204],\n",
|
|
" [ 97895]]),\n",
|
|
" array([[2898910],\n",
|
|
" [2896222],\n",
|
|
" [2895736],\n",
|
|
" [2796810],\n",
|
|
" [2795750],\n",
|
|
" [2777297],\n",
|
|
" [2776816],\n",
|
|
" [2730549],\n",
|
|
" [2726277],\n",
|
|
" [2718509],\n",
|
|
" [2414247],\n",
|
|
" [2414125],\n",
|
|
" [2244362],\n",
|
|
" [2243560],\n",
|
|
" [2243535],\n",
|
|
" [2242519],\n",
|
|
" [2192348],\n",
|
|
" [2192087],\n",
|
|
" [2191686],\n",
|
|
" [2188916],\n",
|
|
" [2188895],\n",
|
|
" [2188658],\n",
|
|
" [2186536],\n",
|
|
" [2184318],\n",
|
|
" [2162947],\n",
|
|
" [2159916],\n",
|
|
" [2159896],\n",
|
|
" [2159834],\n",
|
|
" [2159064]]),\n",
|
|
" array([[2922166],\n",
|
|
" [2922128],\n",
|
|
" [2060171],\n",
|
|
" [2059272],\n",
|
|
" [1684747],\n",
|
|
" [1682029]]),\n",
|
|
" array([[2898910],\n",
|
|
" [2898667],\n",
|
|
" [2898630],\n",
|
|
" [2861241],\n",
|
|
" [2858436],\n",
|
|
" [2858246],\n",
|
|
" [2857649],\n",
|
|
" [2857614],\n",
|
|
" [2857549],\n",
|
|
" [2857469],\n",
|
|
" [2856790],\n",
|
|
" [2468737],\n",
|
|
" [2460045],\n",
|
|
" [2458363],\n",
|
|
" [2458329],\n",
|
|
" [2457375],\n",
|
|
" [2412235],\n",
|
|
" [2408226],\n",
|
|
" [2348208],\n",
|
|
" [2347116],\n",
|
|
" [2346683]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2930977],\n",
|
|
" [2930602],\n",
|
|
" [2930592],\n",
|
|
" [2929610],\n",
|
|
" [2927308],\n",
|
|
" [2912438],\n",
|
|
" [2912207]]),\n",
|
|
" array([[2931457],\n",
|
|
" [2931335],\n",
|
|
" [2928377],\n",
|
|
" [2927379],\n",
|
|
" [2927285],\n",
|
|
" [2927151],\n",
|
|
" [2636049],\n",
|
|
" [2634975],\n",
|
|
" [2634896],\n",
|
|
" [2616304],\n",
|
|
" [2615733],\n",
|
|
" [2615721],\n",
|
|
" [2614138],\n",
|
|
" [2614095],\n",
|
|
" [2614081],\n",
|
|
" [2613863],\n",
|
|
" [2613755],\n",
|
|
" [2613505],\n",
|
|
" [2613427],\n",
|
|
" [2612749],\n",
|
|
" [2612708],\n",
|
|
" [2053444],\n",
|
|
" [2053149],\n",
|
|
" [2042150],\n",
|
|
" [2040770],\n",
|
|
" [2037490],\n",
|
|
" [2037114],\n",
|
|
" [1982446],\n",
|
|
" [1982431],\n",
|
|
" [1929867],\n",
|
|
" [1929818],\n",
|
|
" [1929418],\n",
|
|
" [1927789],\n",
|
|
" [1927694],\n",
|
|
" [1924560],\n",
|
|
" [1921313],\n",
|
|
" [1912324],\n",
|
|
" [1912095],\n",
|
|
" [1910941],\n",
|
|
" [1909777],\n",
|
|
" [1903301],\n",
|
|
" [1901642],\n",
|
|
" [1901482],\n",
|
|
" [1901430],\n",
|
|
" [1900888],\n",
|
|
" [1900653],\n",
|
|
" [1900621],\n",
|
|
" [1849018],\n",
|
|
" [1849000],\n",
|
|
" [1794038],\n",
|
|
" [1794009],\n",
|
|
" [1767758],\n",
|
|
" [1766306],\n",
|
|
" [1759742],\n",
|
|
" [1759511],\n",
|
|
" [1724478],\n",
|
|
" [1718350]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2929451]]),\n",
|
|
" array([[2931250],\n",
|
|
" [2926632],\n",
|
|
" [2784152]]),\n",
|
|
" array([[2922806]]),\n",
|
|
" array([[2464967],\n",
|
|
" [2398753],\n",
|
|
" [2398729],\n",
|
|
" [2398713],\n",
|
|
" [2342486],\n",
|
|
" [2339195],\n",
|
|
" [2338317],\n",
|
|
" [2337932],\n",
|
|
" [2337743],\n",
|
|
" [2337660],\n",
|
|
" [2332227],\n",
|
|
" [2332089],\n",
|
|
" [2332029],\n",
|
|
" [2330924],\n",
|
|
" [2330834],\n",
|
|
" [2309106],\n",
|
|
" [2308721],\n",
|
|
" [2308642],\n",
|
|
" [2308447],\n",
|
|
" [2305922],\n",
|
|
" [2299251],\n",
|
|
" [2293714],\n",
|
|
" [2292991],\n",
|
|
" [2292956],\n",
|
|
" [2292609],\n",
|
|
" [2292544],\n",
|
|
" [2291950],\n",
|
|
" [2287835],\n",
|
|
" [2287183],\n",
|
|
" [2286973],\n",
|
|
" [1648685],\n",
|
|
" [1648337],\n",
|
|
" [1648282],\n",
|
|
" [1608523],\n",
|
|
" [1607989],\n",
|
|
" [1607688],\n",
|
|
" [1607295],\n",
|
|
" [1607102],\n",
|
|
" [1596110],\n",
|
|
" [1595487],\n",
|
|
" [1595346],\n",
|
|
" [1574451],\n",
|
|
" [1570790],\n",
|
|
" [1570365],\n",
|
|
" [1564965],\n",
|
|
" [1564593]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2928175],\n",
|
|
" [2927699],\n",
|
|
" [2927408],\n",
|
|
" [2901500],\n",
|
|
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|
|
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|
|
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|
|
" [2776857],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2685407],\n",
|
|
" [2684063],\n",
|
|
" [2684022],\n",
|
|
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|
|
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|
|
" [2647598],\n",
|
|
" [2647438],\n",
|
|
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|
|
" [2645425],\n",
|
|
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|
|
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|
|
" [2642099],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2630306],\n",
|
|
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|
|
" [2560839],\n",
|
|
" [2558591],\n",
|
|
" [2554918],\n",
|
|
" [2505862]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2775918],\n",
|
|
" [2775825]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2924499],\n",
|
|
" [2924392],\n",
|
|
" [2913480],\n",
|
|
" [2884641],\n",
|
|
" [2871835],\n",
|
|
" [2871585],\n",
|
|
" [2871486],\n",
|
|
" [2862907],\n",
|
|
" [2862893],\n",
|
|
" [2859001],\n",
|
|
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|
|
" [2852046],\n",
|
|
" [2851843],\n",
|
|
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|
|
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|
|
" [2771655],\n",
|
|
" [2770021],\n",
|
|
" [2770005],\n",
|
|
" [2769954],\n",
|
|
" [2762666],\n",
|
|
" [2760843]]),\n",
|
|
" array([[2931821],\n",
|
|
" [2675838],\n",
|
|
" [2675789],\n",
|
|
" [2675747],\n",
|
|
" [2667233],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2651319],\n",
|
|
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|
|
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|
|
" [2648865],\n",
|
|
" [2646459],\n",
|
|
" [2641948],\n",
|
|
" [2641856],\n",
|
|
" [2641767],\n",
|
|
" [2524393],\n",
|
|
" [2512066]]),\n",
|
|
" array([[2931821],\n",
|
|
" [2912322],\n",
|
|
" [2910259]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931438],\n",
|
|
" [2931389],\n",
|
|
" [2930493],\n",
|
|
" [2929968],\n",
|
|
" [2033301],\n",
|
|
" [2032951],\n",
|
|
" [2032930],\n",
|
|
" [2032737],\n",
|
|
" [1992310],\n",
|
|
" [1992288],\n",
|
|
" [1992133],\n",
|
|
" [1985712],\n",
|
|
" [1984471],\n",
|
|
" [1976332],\n",
|
|
" [1944910],\n",
|
|
" [1938033],\n",
|
|
" [1937416],\n",
|
|
" [1937278],\n",
|
|
" [1930481],\n",
|
|
" [1930086],\n",
|
|
" [1903961],\n",
|
|
" [1903343],\n",
|
|
" [1903193],\n",
|
|
" [1902986],\n",
|
|
" [1902298],\n",
|
|
" [1898088],\n",
|
|
" [1882405],\n",
|
|
" [1882332],\n",
|
|
" [1881395],\n",
|
|
" [1881093],\n",
|
|
" [1879420],\n",
|
|
" [1877471],\n",
|
|
" [1877396],\n",
|
|
" [1877051],\n",
|
|
" [1876592],\n",
|
|
" [1876099],\n",
|
|
" [1876086],\n",
|
|
" [1875402],\n",
|
|
" [1874671]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931899],\n",
|
|
" [2929189],\n",
|
|
" [2919788],\n",
|
|
" [2596221],\n",
|
|
" [2592105],\n",
|
|
" [2592009],\n",
|
|
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|
|
" [2591909],\n",
|
|
" [2591824],\n",
|
|
" [2591802],\n",
|
|
" [2591719],\n",
|
|
" [2555646],\n",
|
|
" [2555621],\n",
|
|
" [2555604],\n",
|
|
" [2554999],\n",
|
|
" [2554514],\n",
|
|
" [2554356],\n",
|
|
" [2553875],\n",
|
|
" [2552674],\n",
|
|
" [2536440],\n",
|
|
" [2525587],\n",
|
|
" [2525539],\n",
|
|
" [2525508],\n",
|
|
" [2525435],\n",
|
|
" [2525043],\n",
|
|
" [2421332],\n",
|
|
" [2421320],\n",
|
|
" [2414255],\n",
|
|
" [2414244],\n",
|
|
" [2413863],\n",
|
|
" [2413690],\n",
|
|
" [2411982],\n",
|
|
" [2411969],\n",
|
|
" [1498675],\n",
|
|
" [1498519],\n",
|
|
" [1497903],\n",
|
|
" [1396654],\n",
|
|
" [1396558],\n",
|
|
" [1395503]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2930781],\n",
|
|
" [2929835],\n",
|
|
" [2928669]]),\n",
|
|
" array([[2931821],\n",
|
|
" [2931414]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2931830],\n",
|
|
" [2903901],\n",
|
|
" [2903596],\n",
|
|
" [2896821],\n",
|
|
" [2893683],\n",
|
|
" [2890046],\n",
|
|
" [2877810],\n",
|
|
" [2877794],\n",
|
|
" [2877678],\n",
|
|
" [2877595],\n",
|
|
" [2877132],\n",
|
|
" [2877031],\n",
|
|
" [2877009],\n",
|
|
" [2861803],\n",
|
|
" [2861203],\n",
|
|
" [2860448],\n",
|
|
" [2821715],\n",
|
|
" [2821461]]),\n",
|
|
" array([[2927952],\n",
|
|
" [2917079],\n",
|
|
" [2916568],\n",
|
|
" [2916060],\n",
|
|
" [2915981],\n",
|
|
" [2915964],\n",
|
|
" [2815571],\n",
|
|
" [2815463],\n",
|
|
" [2814921],\n",
|
|
" [2814433]]),\n",
|
|
" array([[2931250],\n",
|
|
" [2926632],\n",
|
|
" [2920847],\n",
|
|
" [2920649],\n",
|
|
" [2920565],\n",
|
|
" [2617085],\n",
|
|
" [2617068],\n",
|
|
" [2491736],\n",
|
|
" [2491683],\n",
|
|
" [2490789],\n",
|
|
" [2488974],\n",
|
|
" [2488887],\n",
|
|
" [2488860],\n",
|
|
" [2478950],\n",
|
|
" [2405586],\n",
|
|
" [2404464],\n",
|
|
" [2403596],\n",
|
|
" [2397867],\n",
|
|
" [2397800],\n",
|
|
" [2397455],\n",
|
|
" [2386534],\n",
|
|
" [2385708],\n",
|
|
" [2383187],\n",
|
|
" [2379783],\n",
|
|
" [2379752],\n",
|
|
" [2378688],\n",
|
|
" [2378439],\n",
|
|
" [2378231],\n",
|
|
" [2365405],\n",
|
|
" [2365387],\n",
|
|
" [2365299],\n",
|
|
" [2363594]]),\n",
|
|
" array([[2737927],\n",
|
|
" [2606833],\n",
|
|
" [2603651],\n",
|
|
" [2602378],\n",
|
|
" [2602230],\n",
|
|
" [2393441],\n",
|
|
" [2393323],\n",
|
|
" [2392754],\n",
|
|
" [2392586],\n",
|
|
" [2392554],\n",
|
|
" [1276464],\n",
|
|
" [1276092],\n",
|
|
" [ 92040]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931855],\n",
|
|
" [2931769],\n",
|
|
" [2915320],\n",
|
|
" [2915165],\n",
|
|
" [2914701],\n",
|
|
" [2913090],\n",
|
|
" [2903207],\n",
|
|
" [2902795],\n",
|
|
" [2893041],\n",
|
|
" [2892949],\n",
|
|
" [2884890],\n",
|
|
" [2882901],\n",
|
|
" [2881116]]),\n",
|
|
" array([[2930781],\n",
|
|
" [2913998],\n",
|
|
" [2913903],\n",
|
|
" [2913574],\n",
|
|
" [2890908],\n",
|
|
" [2890652],\n",
|
|
" [2887464]]),\n",
|
|
" array([[2931022]]),\n",
|
|
" array([[2931821],\n",
|
|
" [2931319],\n",
|
|
" [2930855],\n",
|
|
" [2928881],\n",
|
|
" [2918317],\n",
|
|
" [2881171]]),\n",
|
|
" array([[2931250],\n",
|
|
" [2930984]]),\n",
|
|
" array([[2922806]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2922806]]),\n",
|
|
" array([[2931748],\n",
|
|
" [2929876],\n",
|
|
" [2929587],\n",
|
|
" [2929419],\n",
|
|
" [2929014],\n",
|
|
" [2928957],\n",
|
|
" [2928945],\n",
|
|
" [2919576],\n",
|
|
" [2919528],\n",
|
|
" [2919491],\n",
|
|
" [2918816],\n",
|
|
" [2918047],\n",
|
|
" [2916265],\n",
|
|
" [2855937],\n",
|
|
" [2776883],\n",
|
|
" [2774925],\n",
|
|
" [2773566],\n",
|
|
" [2772207],\n",
|
|
" [2772135],\n",
|
|
" [2772120],\n",
|
|
" [2768181],\n",
|
|
" [2766474],\n",
|
|
" [2765679],\n",
|
|
" [2763965],\n",
|
|
" [2763751],\n",
|
|
" [2763417],\n",
|
|
" [2734233],\n",
|
|
" [2733569],\n",
|
|
" [2732951],\n",
|
|
" [2732100],\n",
|
|
" [2712026]]),\n",
|
|
" array([[2931250],\n",
|
|
" [2931053],\n",
|
|
" [2922359],\n",
|
|
" [2921757],\n",
|
|
" [2921650],\n",
|
|
" [2920123],\n",
|
|
" [2919579],\n",
|
|
" [1949339],\n",
|
|
" [1949155],\n",
|
|
" [1949023],\n",
|
|
" [1945195],\n",
|
|
" [1944992],\n",
|
|
" [1944803],\n",
|
|
" [1834718],\n",
|
|
" [1834706],\n",
|
|
" [1833387],\n",
|
|
" [1833346],\n",
|
|
" [1831166],\n",
|
|
" [1827486],\n",
|
|
" [1825985],\n",
|
|
" [1825929],\n",
|
|
" [1825164],\n",
|
|
" [1823789]]),\n",
|
|
" array([[2931856],\n",
|
|
" [2931644],\n",
|
|
" [2912323],\n",
|
|
" [2864660],\n",
|
|
" [2864272],\n",
|
|
" [2863446],\n",
|
|
" [2863373],\n",
|
|
" [2863322],\n",
|
|
" [2863287],\n",
|
|
" [2856614],\n",
|
|
" [2856531],\n",
|
|
" [2853196],\n",
|
|
" [2852377],\n",
|
|
" [2792513],\n",
|
|
" [2235177],\n",
|
|
" [2235066],\n",
|
|
" [2231767],\n",
|
|
" [1954268],\n",
|
|
" [1922892],\n",
|
|
" [1919454],\n",
|
|
" [1914945],\n",
|
|
" [1914312],\n",
|
|
" [1914210],\n",
|
|
" [1914136]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931754],\n",
|
|
" [2929714],\n",
|
|
" [2928968],\n",
|
|
" [2928892]]),\n",
|
|
" array([[2931193],\n",
|
|
" [2836436],\n",
|
|
" [2834293]]),\n",
|
|
" array([[2929165],\n",
|
|
" [2929064],\n",
|
|
" [2928871],\n",
|
|
" [2928616],\n",
|
|
" [2928463],\n",
|
|
" [2928057],\n",
|
|
" [2927419],\n",
|
|
" [2927363],\n",
|
|
" [2923467],\n",
|
|
" [2922338],\n",
|
|
" [2914319],\n",
|
|
" [2914296],\n",
|
|
" [2913910],\n",
|
|
" [2912811],\n",
|
|
" [2907167],\n",
|
|
" [2907119],\n",
|
|
" [2891767],\n",
|
|
" [2891727],\n",
|
|
" [2890858],\n",
|
|
" [2890694],\n",
|
|
" [2464971],\n",
|
|
" [2464786],\n",
|
|
" [2460794],\n",
|
|
" [2448593],\n",
|
|
" [2446805],\n",
|
|
" [1864710],\n",
|
|
" [1864695],\n",
|
|
" [1863747]]),\n",
|
|
" array([[2884866],\n",
|
|
" [2769856],\n",
|
|
" [2768674],\n",
|
|
" [2747153],\n",
|
|
" [2743257],\n",
|
|
" [2742462],\n",
|
|
" [2742434],\n",
|
|
" [2742075],\n",
|
|
" [2739376]]),\n",
|
|
" array([[2341704],\n",
|
|
" [2341476],\n",
|
|
" [2341164],\n",
|
|
" [2219559],\n",
|
|
" [2204400],\n",
|
|
" [2202148],\n",
|
|
" [2202094],\n",
|
|
" [2200298],\n",
|
|
" [2191049],\n",
|
|
" [2190965],\n",
|
|
" [2189680],\n",
|
|
" [2189630],\n",
|
|
" [2179480],\n",
|
|
" [2164694],\n",
|
|
" [2140954],\n",
|
|
" [2126489],\n",
|
|
" [2121378],\n",
|
|
" [2118940],\n",
|
|
" [2118227],\n",
|
|
" [2117820],\n",
|
|
" [2117800],\n",
|
|
" [2114829],\n",
|
|
" [2114812],\n",
|
|
" [2114444],\n",
|
|
" [2095373],\n",
|
|
" [2092556],\n",
|
|
" [2085596],\n",
|
|
" [2083241],\n",
|
|
" [2083163],\n",
|
|
" [2077425],\n",
|
|
" [2077116],\n",
|
|
" [2077092],\n",
|
|
" [2017396],\n",
|
|
" [2016897]]),\n",
|
|
" array([[2931175],\n",
|
|
" [2826414],\n",
|
|
" [2823628],\n",
|
|
" [2823517],\n",
|
|
" [2822870],\n",
|
|
" [2822820],\n",
|
|
" [2822558],\n",
|
|
" [2726164],\n",
|
|
" [2725581],\n",
|
|
" [2723037],\n",
|
|
" [2717732],\n",
|
|
" [2717555],\n",
|
|
" [2717003],\n",
|
|
" [2699158],\n",
|
|
" [2698987],\n",
|
|
" [2697462],\n",
|
|
" [2682858],\n",
|
|
" [2680694],\n",
|
|
" [2680132],\n",
|
|
" [2676315],\n",
|
|
" [2561191],\n",
|
|
" [2560766],\n",
|
|
" [2548307],\n",
|
|
" [2547940],\n",
|
|
" [2420074],\n",
|
|
" [2419895],\n",
|
|
" [2414535],\n",
|
|
" [2414494],\n",
|
|
" [2311170],\n",
|
|
" [2311058],\n",
|
|
" [2310512],\n",
|
|
" [2310054],\n",
|
|
" [2259853],\n",
|
|
" [2257896],\n",
|
|
" [2247401],\n",
|
|
" [2243673],\n",
|
|
" [2242575],\n",
|
|
" [2242371],\n",
|
|
" [2240381],\n",
|
|
" [2239582],\n",
|
|
" [2221088],\n",
|
|
" [2220951],\n",
|
|
" [2220801],\n",
|
|
" [1833991],\n",
|
|
" [1833709],\n",
|
|
" [1820195],\n",
|
|
" [1819782]]),\n",
|
|
" array([[2341704],\n",
|
|
" [2340765],\n",
|
|
" [2340750],\n",
|
|
" [2340544],\n",
|
|
" [2339348],\n",
|
|
" [2335766],\n",
|
|
" [2333819],\n",
|
|
" [2333280],\n",
|
|
" [2333071],\n",
|
|
" [2328362],\n",
|
|
" [2326475],\n",
|
|
" [2326326],\n",
|
|
" [2316799],\n",
|
|
" [2316315],\n",
|
|
" [2316159],\n",
|
|
" [2315602],\n",
|
|
" [2295526],\n",
|
|
" [2294716],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1894808],\n",
|
|
" [1835650],\n",
|
|
" [1833076]]),\n",
|
|
" array([[2930642]]),\n",
|
|
" array([[2925441],\n",
|
|
" [2924702]]),\n",
|
|
" array([[2930665],\n",
|
|
" [2877312],\n",
|
|
" [2877049],\n",
|
|
" [2876747],\n",
|
|
" [2855048]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2915939],\n",
|
|
" [2915319],\n",
|
|
" [2870135],\n",
|
|
" [2832624],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1830784],\n",
|
|
" [1830597],\n",
|
|
" [1830249],\n",
|
|
" [1830177],\n",
|
|
" [1816898]]),\n",
|
|
" array([[2929165],\n",
|
|
" [2926907],\n",
|
|
" [2926267],\n",
|
|
" [2926247],\n",
|
|
" [2926049],\n",
|
|
" [2925730],\n",
|
|
" [2923550]]),\n",
|
|
" array([[2585213],\n",
|
|
" [2574594],\n",
|
|
" [2573490],\n",
|
|
" [2573018],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2566850],\n",
|
|
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|
|
" [2565171],\n",
|
|
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|
|
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|
|
" [2562833],\n",
|
|
" [2555432],\n",
|
|
" [2555156],\n",
|
|
" [2545096],\n",
|
|
" [2540674],\n",
|
|
" [2540235]]),\n",
|
|
" array([[2931175],\n",
|
|
" [2930529],\n",
|
|
" [2929627],\n",
|
|
" [2926394],\n",
|
|
" [2926129],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2888407],\n",
|
|
" [2887939],\n",
|
|
" [2887723],\n",
|
|
" [2855652],\n",
|
|
" [2855637],\n",
|
|
" [2853312],\n",
|
|
" [2834729],\n",
|
|
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|
|
" [2834599],\n",
|
|
" [2809806],\n",
|
|
" [2809008],\n",
|
|
" [2808765],\n",
|
|
" [2808464],\n",
|
|
" [2808328],\n",
|
|
" [2805672]]),\n",
|
|
" array([[2931387],\n",
|
|
" [2921664],\n",
|
|
" [2921648],\n",
|
|
" [2920361],\n",
|
|
" [2920015],\n",
|
|
" [2919476],\n",
|
|
" [2915588],\n",
|
|
" [2915012],\n",
|
|
" [2812318]]),\n",
|
|
" array([[2931858],\n",
|
|
" [2931570],\n",
|
|
" [2931552],\n",
|
|
" [2912102],\n",
|
|
" [2904235],\n",
|
|
" [2904217],\n",
|
|
" [2900190],\n",
|
|
" [2898679],\n",
|
|
" [2898668],\n",
|
|
" [2883419],\n",
|
|
" [2873662],\n",
|
|
" [2870678],\n",
|
|
" [2870020],\n",
|
|
" [2743542],\n",
|
|
" [2743059],\n",
|
|
" [2741280],\n",
|
|
" [2741046],\n",
|
|
" [2740979],\n",
|
|
" [2740722]]),\n",
|
|
" array([[2931858],\n",
|
|
" [2931570],\n",
|
|
" [2931548],\n",
|
|
" [2931538],\n",
|
|
" [2931495],\n",
|
|
" [2931472],\n",
|
|
" [2931015],\n",
|
|
" [2931002],\n",
|
|
" [2930808],\n",
|
|
" [2929447],\n",
|
|
" [2929360],\n",
|
|
" [2923705],\n",
|
|
" [2919682],\n",
|
|
" [2918776]]),\n",
|
|
" array([[2931908],\n",
|
|
" [2929577],\n",
|
|
" [2913142],\n",
|
|
" [2909245],\n",
|
|
" [2907972],\n",
|
|
" [2901793],\n",
|
|
" [2901781],\n",
|
|
" [2901689]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931855],\n",
|
|
" [2931792]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931323],\n",
|
|
" [2930306],\n",
|
|
" [2930213],\n",
|
|
" [2928113],\n",
|
|
" [2928029]]),\n",
|
|
" array([[2884866],\n",
|
|
" [2884505],\n",
|
|
" [2827283],\n",
|
|
" [2825387],\n",
|
|
" [2825372],\n",
|
|
" [2779623]]),\n",
|
|
" array([[2341704],\n",
|
|
" [2341690],\n",
|
|
" [2341633],\n",
|
|
" [2341558],\n",
|
|
" [2341033],\n",
|
|
" [2340893],\n",
|
|
" [2340880],\n",
|
|
" [2340726],\n",
|
|
" [2339632],\n",
|
|
" [2339612],\n",
|
|
" [2338930],\n",
|
|
" [2338845],\n",
|
|
" [2338119],\n",
|
|
" [2337457],\n",
|
|
" [2333807],\n",
|
|
" [2333656],\n",
|
|
" [2327035],\n",
|
|
" [2326861]]),\n",
|
|
" array([[2930642]]),\n",
|
|
" array([[2931387],\n",
|
|
" [2926302],\n",
|
|
" [2926276],\n",
|
|
" [2925356]]),\n",
|
|
" array([[2585213],\n",
|
|
" [2488051],\n",
|
|
" [2439106],\n",
|
|
" [2358914],\n",
|
|
" [2356528],\n",
|
|
" [2352003],\n",
|
|
" [2351462],\n",
|
|
" [2351447],\n",
|
|
" [2351424],\n",
|
|
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|
|
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|
|
" [2233499],\n",
|
|
" [2232713],\n",
|
|
" [2232554],\n",
|
|
" [2232375],\n",
|
|
" [2232267],\n",
|
|
" [2230915],\n",
|
|
" [2133190],\n",
|
|
" [2129107],\n",
|
|
" [2129019],\n",
|
|
" [2112275],\n",
|
|
" [2112253],\n",
|
|
" [2112228],\n",
|
|
" [2112169],\n",
|
|
" [2111381],\n",
|
|
" [2107964],\n",
|
|
" [2106517],\n",
|
|
" [2106304],\n",
|
|
" [2106184],\n",
|
|
" [2106000],\n",
|
|
" [2104657],\n",
|
|
" [2104547],\n",
|
|
" [2103732],\n",
|
|
" [2103692],\n",
|
|
" [2103610],\n",
|
|
" [2103573],\n",
|
|
" [2103531],\n",
|
|
" [2103279],\n",
|
|
" [2102405],\n",
|
|
" [2094492],\n",
|
|
" [2070656],\n",
|
|
" [2070619],\n",
|
|
" [2017230],\n",
|
|
" [2017195],\n",
|
|
" [2017119],\n",
|
|
" [2014211],\n",
|
|
" [2012839],\n",
|
|
" [1559146],\n",
|
|
" [1427730],\n",
|
|
" [1228173]]),\n",
|
|
" array([[2925441],\n",
|
|
" [2830896],\n",
|
|
" [2829546],\n",
|
|
" [2829524],\n",
|
|
" [2828346],\n",
|
|
" [2808943]]),\n",
|
|
" array([[2929165],\n",
|
|
" [2831581],\n",
|
|
" [2820415],\n",
|
|
" [2813032],\n",
|
|
" [2812402]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931899],\n",
|
|
" [2931849],\n",
|
|
" [2869897],\n",
|
|
" [2869614],\n",
|
|
" [2868771],\n",
|
|
" [2845483],\n",
|
|
" [2844215],\n",
|
|
" [2833070],\n",
|
|
" [2831528],\n",
|
|
" [2822736],\n",
|
|
" [2822724],\n",
|
|
" [2815468],\n",
|
|
" [2810304],\n",
|
|
" [2792741],\n",
|
|
" [2748111],\n",
|
|
" [2747717],\n",
|
|
" [2747054]]),\n",
|
|
" array([[2930642]]),\n",
|
|
" array([[2931387],\n",
|
|
" [2930180]]),\n",
|
|
" array([[2931858],\n",
|
|
" [2280776],\n",
|
|
" [1925062],\n",
|
|
" [1896010],\n",
|
|
" [1794537],\n",
|
|
" [1777278],\n",
|
|
" [1777094],\n",
|
|
" [1718192],\n",
|
|
" [1713750],\n",
|
|
" [1713203]]),\n",
|
|
" array([[2931719],\n",
|
|
" [2931578]]),\n",
|
|
" array([[2931804],\n",
|
|
" [2931789],\n",
|
|
" [2931104],\n",
|
|
" [2775043],\n",
|
|
" [2773654]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2930964],\n",
|
|
" [2930841],\n",
|
|
" [2930451],\n",
|
|
" [2930419],\n",
|
|
" [2930290],\n",
|
|
" [2930273],\n",
|
|
" [2930212],\n",
|
|
" [2930171],\n",
|
|
" [2929132]]),\n",
|
|
" array([[2931362],\n",
|
|
" [2927192],\n",
|
|
" [2927137],\n",
|
|
" [2926537],\n",
|
|
" [2918113],\n",
|
|
" [2918081],\n",
|
|
" [2917658],\n",
|
|
" [2914377],\n",
|
|
" [2914357],\n",
|
|
" [2912156],\n",
|
|
" [2902968],\n",
|
|
" [2902235]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2921181],\n",
|
|
" [2921127],\n",
|
|
" [2920950],\n",
|
|
" [2920920],\n",
|
|
" [2920686],\n",
|
|
" [2919126],\n",
|
|
" [2908285],\n",
|
|
" [2853056],\n",
|
|
" [2852093],\n",
|
|
" [2846737],\n",
|
|
" [2846295],\n",
|
|
" [2846079],\n",
|
|
" [1259316]]),\n",
|
|
" array([[2931804],\n",
|
|
" [2931789],\n",
|
|
" [2931642],\n",
|
|
" [2929804],\n",
|
|
" [2929763],\n",
|
|
" [2929259],\n",
|
|
" [2929229],\n",
|
|
" [2839114],\n",
|
|
" [2838787],\n",
|
|
" [1849308],\n",
|
|
" [1849156],\n",
|
|
" [1835504],\n",
|
|
" [1835043],\n",
|
|
" [1568236],\n",
|
|
" [1567963],\n",
|
|
" [1567713],\n",
|
|
" [1329985],\n",
|
|
" [1329955],\n",
|
|
" [1295437],\n",
|
|
" [1295418],\n",
|
|
" [1295404],\n",
|
|
" [1295386],\n",
|
|
" [1295371],\n",
|
|
" [1294538],\n",
|
|
" [1275592],\n",
|
|
" [1233220],\n",
|
|
" [1232992]]),\n",
|
|
" array([[2930925],\n",
|
|
" [2930910],\n",
|
|
" [2930753],\n",
|
|
" [2930163],\n",
|
|
" [2929094]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2926302],\n",
|
|
" [2848584],\n",
|
|
" [2845872],\n",
|
|
" [2844935]]),\n",
|
|
" array([[2931805],\n",
|
|
" [2929457],\n",
|
|
" [2928822],\n",
|
|
" [2928483],\n",
|
|
" [2928234],\n",
|
|
" [2928194],\n",
|
|
" [2928175],\n",
|
|
" [2928160],\n",
|
|
" [2922032],\n",
|
|
" [2914054],\n",
|
|
" [2912926],\n",
|
|
" [2911213],\n",
|
|
" [2910752],\n",
|
|
" [2887592],\n",
|
|
" [2887399]]),\n",
|
|
" array([[2931452],\n",
|
|
" [2931402],\n",
|
|
" [2931229],\n",
|
|
" [2929630],\n",
|
|
" [2929529],\n",
|
|
" [2927572],\n",
|
|
" [2916718],\n",
|
|
" [2916672],\n",
|
|
" [2916011],\n",
|
|
" [2915924],\n",
|
|
" [2836439],\n",
|
|
" [2836344],\n",
|
|
" [2822061],\n",
|
|
" [2822050],\n",
|
|
" [2818486],\n",
|
|
" [2817875],\n",
|
|
" [2809020],\n",
|
|
" [2808787]]),\n",
|
|
" array([[2925129],\n",
|
|
" [2920879]]),\n",
|
|
" array([[2931066],\n",
|
|
" [2931017],\n",
|
|
" [2851603],\n",
|
|
" [2811546],\n",
|
|
" [2809371],\n",
|
|
" [2809322],\n",
|
|
" [2809165]]),\n",
|
|
" array([[2931804],\n",
|
|
" [2931748],\n",
|
|
" [2931164],\n",
|
|
" [2929826],\n",
|
|
" [2929665],\n",
|
|
" [2929176],\n",
|
|
" [2923258],\n",
|
|
" [2923202],\n",
|
|
" [2921076],\n",
|
|
" [2174424],\n",
|
|
" [2174030],\n",
|
|
" [2173905],\n",
|
|
" [2173883],\n",
|
|
" [2129633],\n",
|
|
" [2129454],\n",
|
|
" [2117878],\n",
|
|
" [2116961]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2931116],\n",
|
|
" [2925461],\n",
|
|
" [2925449],\n",
|
|
" [2924231]]),\n",
|
|
" array([[2925129],\n",
|
|
" [2920879]]),\n",
|
|
" array([[2930925],\n",
|
|
" [2413482],\n",
|
|
" [2413459],\n",
|
|
" [2270286],\n",
|
|
" [2270258],\n",
|
|
" [2265610],\n",
|
|
" [2256402],\n",
|
|
" [2256358],\n",
|
|
" [2254234],\n",
|
|
" [2211940],\n",
|
|
" [1893862],\n",
|
|
" [1890600],\n",
|
|
" [1889342],\n",
|
|
" [1811263],\n",
|
|
" [1704065],\n",
|
|
" [1697194],\n",
|
|
" [1697177],\n",
|
|
" [1625358],\n",
|
|
" [1529143],\n",
|
|
" [1321341]]),\n",
|
|
" array([[2931066],\n",
|
|
" [2930579],\n",
|
|
" [2930375],\n",
|
|
" [2929570],\n",
|
|
" [2927855],\n",
|
|
" [2927755],\n",
|
|
" [2923527],\n",
|
|
" [2730040],\n",
|
|
" [2729583],\n",
|
|
" [2726808]]),\n",
|
|
" array([[2930925],\n",
|
|
" [2930905],\n",
|
|
" [2930761],\n",
|
|
" [2928942],\n",
|
|
" [2928932],\n",
|
|
" [2923388],\n",
|
|
" [2923371],\n",
|
|
" [2923235],\n",
|
|
" [2818809]]),\n",
|
|
" array([[2931719],\n",
|
|
" [2926008]]),\n",
|
|
" array([[2931362],\n",
|
|
" [2931333],\n",
|
|
" [2931212],\n",
|
|
" [2515334],\n",
|
|
" [2495233],\n",
|
|
" [2489500],\n",
|
|
" [2486939]]),\n",
|
|
" array([[2931362],\n",
|
|
" [2931204]]),\n",
|
|
" array([[2931719],\n",
|
|
" [2931019],\n",
|
|
" [2921633],\n",
|
|
" [2921621],\n",
|
|
" [2906402],\n",
|
|
" [2902667],\n",
|
|
" [2898526],\n",
|
|
" [2898092],\n",
|
|
" [2897894]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2915951],\n",
|
|
" [2915927],\n",
|
|
" [2914053],\n",
|
|
" [2910224],\n",
|
|
" [2902650],\n",
|
|
" [2899731],\n",
|
|
" [2897044],\n",
|
|
" [2897033],\n",
|
|
" [2896785],\n",
|
|
" [2440847],\n",
|
|
" [2440090],\n",
|
|
" [2440046],\n",
|
|
" [2415372],\n",
|
|
" [2415240],\n",
|
|
" [2415189],\n",
|
|
" [2413585],\n",
|
|
" [2410987],\n",
|
|
" [2403818],\n",
|
|
" [2403160],\n",
|
|
" [2397885],\n",
|
|
" [2397660],\n",
|
|
" [2258909],\n",
|
|
" [2257503],\n",
|
|
" [2257019],\n",
|
|
" [2255206],\n",
|
|
" [2253422],\n",
|
|
" [2249126],\n",
|
|
" [2248723],\n",
|
|
" [2248023],\n",
|
|
" [2247981],\n",
|
|
" [2247832],\n",
|
|
" [2247600],\n",
|
|
" [2246486],\n",
|
|
" [2246461],\n",
|
|
" [2239295]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2737741],\n",
|
|
" [2733338]]),\n",
|
|
" array([[2931590],\n",
|
|
" [2929574],\n",
|
|
" [2924855],\n",
|
|
" [2924832],\n",
|
|
" [2924711],\n",
|
|
" [2923696],\n",
|
|
" [2915179],\n",
|
|
" [2914809],\n",
|
|
" [2800659]]),\n",
|
|
" array([[2931757],\n",
|
|
" [2931570],\n",
|
|
" [2931550],\n",
|
|
" [2931008],\n",
|
|
" [2858288],\n",
|
|
" [2857016],\n",
|
|
" [2856468],\n",
|
|
" [2856407],\n",
|
|
" [2853504],\n",
|
|
" [2853447],\n",
|
|
" [2853359]]),\n",
|
|
" array([[2931432],\n",
|
|
" [2930054],\n",
|
|
" [2929943],\n",
|
|
" [2929521],\n",
|
|
" [2901669],\n",
|
|
" [2901430],\n",
|
|
" [2891053],\n",
|
|
" [2890365],\n",
|
|
" [2888691],\n",
|
|
" [2754999],\n",
|
|
" [2749481],\n",
|
|
" [2722112],\n",
|
|
" [2714458],\n",
|
|
" [2702859],\n",
|
|
" [2700848],\n",
|
|
" [2700331],\n",
|
|
" [2699494],\n",
|
|
" [2699438],\n",
|
|
" [2697199],\n",
|
|
" [2695834],\n",
|
|
" [2694917],\n",
|
|
" [2694857],\n",
|
|
" [2694583],\n",
|
|
" [2692468],\n",
|
|
" [2692430],\n",
|
|
" [2692028],\n",
|
|
" [2691846],\n",
|
|
" [2688340],\n",
|
|
" [2688186],\n",
|
|
" [2688093],\n",
|
|
" [2688073],\n",
|
|
" [2677025],\n",
|
|
" [2676505],\n",
|
|
" [2647136],\n",
|
|
" [2647101],\n",
|
|
" [2646524],\n",
|
|
" [2526617],\n",
|
|
" [2523156],\n",
|
|
" [2512669],\n",
|
|
" [2511046],\n",
|
|
" [2485701],\n",
|
|
" [2485064],\n",
|
|
" [2484931],\n",
|
|
" [2484440],\n",
|
|
" [2482044],\n",
|
|
" [2481518]]),\n",
|
|
" array([[2931452],\n",
|
|
" [2931413],\n",
|
|
" [2931382],\n",
|
|
" [2930423],\n",
|
|
" [2927511],\n",
|
|
" [2927436],\n",
|
|
" [2927411],\n",
|
|
" [2927067],\n",
|
|
" [2926991],\n",
|
|
" [2926608],\n",
|
|
" [2926178],\n",
|
|
" [2926095],\n",
|
|
" [2919887],\n",
|
|
" [2919814]]),\n",
|
|
" array([[2931066],\n",
|
|
" [2931055],\n",
|
|
" [2928174],\n",
|
|
" [2926907],\n",
|
|
" [2775676],\n",
|
|
" [2775093],\n",
|
|
" [2728696],\n",
|
|
" [2718560]]),\n",
|
|
" array([[2931791],\n",
|
|
" [2930657],\n",
|
|
" [2930362],\n",
|
|
" [2930093],\n",
|
|
" [2926919],\n",
|
|
" [2926907],\n",
|
|
" [2926859],\n",
|
|
" [2926657],\n",
|
|
" [2925159],\n",
|
|
" [2903611],\n",
|
|
" [2901831],\n",
|
|
" [2901675],\n",
|
|
" [2818322]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2902835],\n",
|
|
" [2890660],\n",
|
|
" [2688758],\n",
|
|
" [2688372],\n",
|
|
" [2688235],\n",
|
|
" [2688180],\n",
|
|
" [2684580],\n",
|
|
" [2684181],\n",
|
|
" [2678159],\n",
|
|
" [2678068],\n",
|
|
" [2677974],\n",
|
|
" [2677553],\n",
|
|
" [2677138],\n",
|
|
" [2676683],\n",
|
|
" [2675827],\n",
|
|
" [2670347],\n",
|
|
" [2670295],\n",
|
|
" [2670177],\n",
|
|
" [2666609],\n",
|
|
" [2647014],\n",
|
|
" [2645619],\n",
|
|
" [2645428],\n",
|
|
" [2639485]]),\n",
|
|
" array([[2496295],\n",
|
|
" [2494666],\n",
|
|
" [2493415],\n",
|
|
" [2482527],\n",
|
|
" [2482213],\n",
|
|
" [2481024],\n",
|
|
" [2112760],\n",
|
|
" [2109325],\n",
|
|
" [2107583],\n",
|
|
" [2106061],\n",
|
|
" [2105588],\n",
|
|
" [2105455],\n",
|
|
" [2104247],\n",
|
|
" [2104218],\n",
|
|
" [2104179],\n",
|
|
" [2102854],\n",
|
|
" [2102833],\n",
|
|
" [2059391],\n",
|
|
" [2058664]]),\n",
|
|
" array([[2931877],\n",
|
|
" [2928693],\n",
|
|
" [2923076]]),\n",
|
|
" array([[2927435],\n",
|
|
" [2898442]]),\n",
|
|
" array([[2496295],\n",
|
|
" [2490742],\n",
|
|
" [2489630],\n",
|
|
" [2488973],\n",
|
|
" [2487846],\n",
|
|
" [2487683]]),\n",
|
|
" array([[2931870],\n",
|
|
" [2931704],\n",
|
|
" [2928865],\n",
|
|
" [2923898],\n",
|
|
" [2922569],\n",
|
|
" [2915863],\n",
|
|
" [2862781],\n",
|
|
" [2862515],\n",
|
|
" [2862439],\n",
|
|
" [2761434]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931840],\n",
|
|
" [2926669],\n",
|
|
" [2884586],\n",
|
|
" [2882539],\n",
|
|
" [2879246],\n",
|
|
" [2802312],\n",
|
|
" [2800234],\n",
|
|
" [2800143],\n",
|
|
" [2799499],\n",
|
|
" [2799178],\n",
|
|
" [2798866],\n",
|
|
" [2798781],\n",
|
|
" [2798240],\n",
|
|
" [2798133],\n",
|
|
" [2797975],\n",
|
|
" [2797560],\n",
|
|
" [2797337],\n",
|
|
" [2797013],\n",
|
|
" [2675992],\n",
|
|
" [2675771],\n",
|
|
" [2675736],\n",
|
|
" [2675218],\n",
|
|
" [2646356],\n",
|
|
" [2646233],\n",
|
|
" [2646181],\n",
|
|
" [2644062],\n",
|
|
" [2209967],\n",
|
|
" [2192894],\n",
|
|
" [2190431],\n",
|
|
" [2189853],\n",
|
|
" [2189688],\n",
|
|
" [2188212],\n",
|
|
" [2187586],\n",
|
|
" [2187487],\n",
|
|
" [2141240],\n",
|
|
" [2136744],\n",
|
|
" [2120300],\n",
|
|
" [2112929],\n",
|
|
" [1826892],\n",
|
|
" [1826869],\n",
|
|
" [1826823],\n",
|
|
" [1826761],\n",
|
|
" [1825402],\n",
|
|
" [1825306],\n",
|
|
" [1824988],\n",
|
|
" [1822792],\n",
|
|
" [1822745],\n",
|
|
" [1820550],\n",
|
|
" [1807365],\n",
|
|
" [1804785],\n",
|
|
" [1804538],\n",
|
|
" [1803715],\n",
|
|
" [1801985],\n",
|
|
" [1800836]]),\n",
|
|
" array([[2757752],\n",
|
|
" [2663594],\n",
|
|
" [2663579],\n",
|
|
" [2498330],\n",
|
|
" [2498312],\n",
|
|
" [2494319],\n",
|
|
" [2494293],\n",
|
|
" [2493070],\n",
|
|
" [2492894],\n",
|
|
" [2491105],\n",
|
|
" [2489164],\n",
|
|
" [2486096],\n",
|
|
" [2485683],\n",
|
|
" [2485339],\n",
|
|
" [2485290],\n",
|
|
" [2484083],\n",
|
|
" [2484064],\n",
|
|
" [2480022],\n",
|
|
" [2415640],\n",
|
|
" [2415094],\n",
|
|
" [2415081],\n",
|
|
" [2414962],\n",
|
|
" [2413742],\n",
|
|
" [2413450],\n",
|
|
" [2413439],\n",
|
|
" [2412857],\n",
|
|
" [2385884],\n",
|
|
" [2340169],\n",
|
|
" [2340038],\n",
|
|
" [2338372],\n",
|
|
" [2337616],\n",
|
|
" [2335865],\n",
|
|
" [2311565],\n",
|
|
" [2311501],\n",
|
|
" [2303573]]),\n",
|
|
" array([[2930692]]),\n",
|
|
" array([[2930692]]),\n",
|
|
" array([[2921796],\n",
|
|
" [2557703],\n",
|
|
" [1585706],\n",
|
|
" [1565017],\n",
|
|
" [1564122],\n",
|
|
" [1564055],\n",
|
|
" [1279196],\n",
|
|
" [1229517],\n",
|
|
" [1228627],\n",
|
|
" [1226959],\n",
|
|
" [1226873],\n",
|
|
" [1220700],\n",
|
|
" [1220609],\n",
|
|
" [1076202],\n",
|
|
" [ 453606]]),\n",
|
|
" array([[2930036],\n",
|
|
" [2853658]]),\n",
|
|
" array([[2931731],\n",
|
|
" [2928097],\n",
|
|
" [2906517],\n",
|
|
" [2899529],\n",
|
|
" [2899106],\n",
|
|
" [2898866],\n",
|
|
" [2898839],\n",
|
|
" [2858028],\n",
|
|
" [2768914],\n",
|
|
" [2768039],\n",
|
|
" [2768010],\n",
|
|
" [2767775],\n",
|
|
" [2766134]]),\n",
|
|
" array([[2877535],\n",
|
|
" [2873781],\n",
|
|
" [2872092]]),\n",
|
|
" array([[2930692]]),\n",
|
|
" array([[2931230],\n",
|
|
" [2930936],\n",
|
|
" [2923458],\n",
|
|
" [2903331],\n",
|
|
" [2900797],\n",
|
|
" [2900749],\n",
|
|
" [2900709],\n",
|
|
" [2889447],\n",
|
|
" [2889242],\n",
|
|
" [2888768],\n",
|
|
" [2851450],\n",
|
|
" [2851420],\n",
|
|
" [2850269],\n",
|
|
" [2850096],\n",
|
|
" [2850017],\n",
|
|
" [2849921],\n",
|
|
" [2828069],\n",
|
|
" [2828014],\n",
|
|
" [2827939],\n",
|
|
" [2826834],\n",
|
|
" [2822480],\n",
|
|
" [2819652],\n",
|
|
" [2819568],\n",
|
|
" [2818846],\n",
|
|
" [2815855],\n",
|
|
" [2815237],\n",
|
|
" [2646078],\n",
|
|
" [2645620],\n",
|
|
" [2644238],\n",
|
|
" [2643894],\n",
|
|
" [2638478],\n",
|
|
" [2638433],\n",
|
|
" [2626408],\n",
|
|
" [2598392],\n",
|
|
" [2330890],\n",
|
|
" [2147050],\n",
|
|
" [2146997],\n",
|
|
" [2144355],\n",
|
|
" [2144338],\n",
|
|
" [2096658],\n",
|
|
" [2079366],\n",
|
|
" [2079169],\n",
|
|
" [2078828],\n",
|
|
" [2076103]]),\n",
|
|
" array([[2921796],\n",
|
|
" [2557703],\n",
|
|
" [2235691],\n",
|
|
" [2232540],\n",
|
|
" [2232122],\n",
|
|
" [2232109],\n",
|
|
" [2232081],\n",
|
|
" [2040330],\n",
|
|
" [2039692],\n",
|
|
" [2039321],\n",
|
|
" [2038631],\n",
|
|
" [2038589],\n",
|
|
" [2038408]]),\n",
|
|
" array([[2927435],\n",
|
|
" [2878008],\n",
|
|
" [2873305]]),\n",
|
|
" array([[2931731],\n",
|
|
" [2911061],\n",
|
|
" [2910329],\n",
|
|
" [2910199],\n",
|
|
" [2908916],\n",
|
|
" [2908862],\n",
|
|
" [2894082],\n",
|
|
" [2894063],\n",
|
|
" [2894035],\n",
|
|
" [2889725],\n",
|
|
" [2889425],\n",
|
|
" [2871086],\n",
|
|
" [2870775],\n",
|
|
" [2298694],\n",
|
|
" [2288207],\n",
|
|
" [2288044],\n",
|
|
" [2287666],\n",
|
|
" [2287601],\n",
|
|
" [2273544],\n",
|
|
" [2271521],\n",
|
|
" [2269309],\n",
|
|
" [2268209],\n",
|
|
" [2267489],\n",
|
|
" [2267455],\n",
|
|
" [2258472],\n",
|
|
" [2258452],\n",
|
|
" [2258092],\n",
|
|
" [2108888],\n",
|
|
" [2107667],\n",
|
|
" [2106060],\n",
|
|
" [2101824],\n",
|
|
" [2098663],\n",
|
|
" [2074487],\n",
|
|
" [2074384],\n",
|
|
" [2073285],\n",
|
|
" [2073274],\n",
|
|
" [2073181],\n",
|
|
" [2072998],\n",
|
|
" [2052013],\n",
|
|
" [2050379],\n",
|
|
" [2045824],\n",
|
|
" [2045689],\n",
|
|
" [2039466],\n",
|
|
" [2038938],\n",
|
|
" [2038826],\n",
|
|
" [2021619],\n",
|
|
" [2021382],\n",
|
|
" [2021144],\n",
|
|
" [2021116],\n",
|
|
" [2020580],\n",
|
|
" [2012727],\n",
|
|
" [1455051],\n",
|
|
" [1451662],\n",
|
|
" [1334788],\n",
|
|
" [1334699],\n",
|
|
" [1334073],\n",
|
|
" [1331692],\n",
|
|
" [1327606],\n",
|
|
" [1327464],\n",
|
|
" [1325727]]),\n",
|
|
" array([[2757752],\n",
|
|
" [2754942],\n",
|
|
" [2754745],\n",
|
|
" [2718906],\n",
|
|
" [2716341]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931872],\n",
|
|
" [2922565],\n",
|
|
" [2920043],\n",
|
|
" [2476410],\n",
|
|
" [2474858],\n",
|
|
" [2474405],\n",
|
|
" [2474153],\n",
|
|
" [2473878],\n",
|
|
" [2473761],\n",
|
|
" [2435246],\n",
|
|
" [2198937],\n",
|
|
" [2198898],\n",
|
|
" [2172954],\n",
|
|
" [2166703],\n",
|
|
" [2162507],\n",
|
|
" [2161159],\n",
|
|
" [2160951],\n",
|
|
" [1483448],\n",
|
|
" [1474988],\n",
|
|
" [1474972],\n",
|
|
" [1474808],\n",
|
|
" [1442653],\n",
|
|
" [1341971],\n",
|
|
" [1011876],\n",
|
|
" [1011682],\n",
|
|
" [ 258211],\n",
|
|
" [ 257437],\n",
|
|
" [ 255467]]),\n",
|
|
" array([[2791255],\n",
|
|
" [2770283],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2207249],\n",
|
|
" [1960739],\n",
|
|
" [1955368],\n",
|
|
" [1955258]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2930443],\n",
|
|
" [2928045],\n",
|
|
" [2928015],\n",
|
|
" [2925838],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2914439],\n",
|
|
" [2913670],\n",
|
|
" [2913437]]),\n",
|
|
" array([[2757752],\n",
|
|
" [2681538],\n",
|
|
" [2680228],\n",
|
|
" [2671029],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2291310],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2278446],\n",
|
|
" [2277660],\n",
|
|
" [2277305],\n",
|
|
" [2275039],\n",
|
|
" [2274987],\n",
|
|
" [2270260],\n",
|
|
" [2270180],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2224869],\n",
|
|
" [2224766],\n",
|
|
" [2180797],\n",
|
|
" [2180691],\n",
|
|
" [2180403],\n",
|
|
" [2177037],\n",
|
|
" [2172252],\n",
|
|
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|
|
" [2171907],\n",
|
|
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|
|
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|
|
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|
|
" [2161313],\n",
|
|
" [2125222],\n",
|
|
" [2125186],\n",
|
|
" [2119815],\n",
|
|
" [2118912],\n",
|
|
" [2118254],\n",
|
|
" [2077573]]),\n",
|
|
" array([[2931512],\n",
|
|
" [2931382],\n",
|
|
" [2893234],\n",
|
|
" [2893000],\n",
|
|
" [2891356],\n",
|
|
" [2882063],\n",
|
|
" [2879300],\n",
|
|
" [2879043],\n",
|
|
" [2878967]]),\n",
|
|
" array([[2931877],\n",
|
|
" [2882419],\n",
|
|
" [2881837],\n",
|
|
" [2860635],\n",
|
|
" [2860577],\n",
|
|
" [2851341],\n",
|
|
" [2851266],\n",
|
|
" [2851244],\n",
|
|
" [2837542],\n",
|
|
" [2771800],\n",
|
|
" [2771279],\n",
|
|
" [2770793],\n",
|
|
" [2770704],\n",
|
|
" [2666585],\n",
|
|
" [1318783],\n",
|
|
" [1297324],\n",
|
|
" [1296968],\n",
|
|
" [1295931]]),\n",
|
|
" array([[2930036],\n",
|
|
" [2929499],\n",
|
|
" [2929434],\n",
|
|
" [2929413],\n",
|
|
" [2927108]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931261],\n",
|
|
" [2930965],\n",
|
|
" [2905261],\n",
|
|
" [2891980],\n",
|
|
" [2886027],\n",
|
|
" [2342669],\n",
|
|
" [2342241],\n",
|
|
" [2341230],\n",
|
|
" [2340856],\n",
|
|
" [2339103],\n",
|
|
" [2339011],\n",
|
|
" [2338982],\n",
|
|
" [2323368],\n",
|
|
" [2322491],\n",
|
|
" [2322461],\n",
|
|
" [2316564],\n",
|
|
" [2281524],\n",
|
|
" [2281484],\n",
|
|
" [2281233],\n",
|
|
" [2278807],\n",
|
|
" [2277799],\n",
|
|
" [2277531],\n",
|
|
" [2277514],\n",
|
|
" [2274446],\n",
|
|
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|
|
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|
|
" [2254184],\n",
|
|
" [2253719],\n",
|
|
" [2236852],\n",
|
|
" [2235169],\n",
|
|
" [2235061],\n",
|
|
" [2234964],\n",
|
|
" [2234921],\n",
|
|
" [2234448],\n",
|
|
" [2233909],\n",
|
|
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|
|
" [2233687],\n",
|
|
" [2230305],\n",
|
|
" [2226928],\n",
|
|
" [2226673],\n",
|
|
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|
|
" [1996733],\n",
|
|
" [1991216],\n",
|
|
" [1982120],\n",
|
|
" [1982110],\n",
|
|
" [1895767],\n",
|
|
" [1887979],\n",
|
|
" [1882149],\n",
|
|
" [1882115],\n",
|
|
" [1880105],\n",
|
|
" [1853847],\n",
|
|
" [1850263],\n",
|
|
" [1801892],\n",
|
|
" [1799989],\n",
|
|
" [1795550],\n",
|
|
" [1793971],\n",
|
|
" [1793388]]),\n",
|
|
" array([[2930692]]),\n",
|
|
" array([[2921796],\n",
|
|
" [2912011],\n",
|
|
" [2911989],\n",
|
|
" [2911756],\n",
|
|
" [2907767],\n",
|
|
" [2904431],\n",
|
|
" [2903769]]),\n",
|
|
" array([[2659446],\n",
|
|
" [2659190],\n",
|
|
" [2657796],\n",
|
|
" [2657333],\n",
|
|
" [2657241],\n",
|
|
" [2550122],\n",
|
|
" [2546153],\n",
|
|
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|
|
" [2540582],\n",
|
|
" [2538729],\n",
|
|
" [2538344],\n",
|
|
" [2535629],\n",
|
|
" [2533874],\n",
|
|
" [2533862],\n",
|
|
" [2533752],\n",
|
|
" [2533741],\n",
|
|
" [2481396],\n",
|
|
" [2481282],\n",
|
|
" [2479672],\n",
|
|
" [2465250],\n",
|
|
" [2465222],\n",
|
|
" [2465177],\n",
|
|
" [2374905],\n",
|
|
" [2373780],\n",
|
|
" [2373260]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2931687],\n",
|
|
" [2922471],\n",
|
|
" [2922213],\n",
|
|
" [2922123],\n",
|
|
" [2920440],\n",
|
|
" [2919795],\n",
|
|
" [2917605],\n",
|
|
" [2917461],\n",
|
|
" [2916534],\n",
|
|
" [2915322],\n",
|
|
" [2911470],\n",
|
|
" [2911374],\n",
|
|
" [2904889],\n",
|
|
" [2904300],\n",
|
|
" [2902602],\n",
|
|
" [2884615],\n",
|
|
" [2882828],\n",
|
|
" [2882586],\n",
|
|
" [2882184],\n",
|
|
" [2882129],\n",
|
|
" [2879668],\n",
|
|
" [2866268],\n",
|
|
" [2866148],\n",
|
|
" [2865615],\n",
|
|
" [2864998],\n",
|
|
" [2864972],\n",
|
|
" [2864635],\n",
|
|
" [2864382],\n",
|
|
" [2864240],\n",
|
|
" [2859647],\n",
|
|
" [2858949],\n",
|
|
" [2858592],\n",
|
|
" [2857701],\n",
|
|
" [2273185],\n",
|
|
" [2272975],\n",
|
|
" [2272383],\n",
|
|
" [2267281],\n",
|
|
" [2265883],\n",
|
|
" [2264688],\n",
|
|
" [2264145],\n",
|
|
" [2260968]]),\n",
|
|
" array([[2931149]]),\n",
|
|
" array([[2846416],\n",
|
|
" [2846136]]),\n",
|
|
" array([[2930320],\n",
|
|
" [2930076],\n",
|
|
" [2888187],\n",
|
|
" [2887939],\n",
|
|
" [2887864],\n",
|
|
" [2887845],\n",
|
|
" [2884372],\n",
|
|
" [2883231],\n",
|
|
" [2881328],\n",
|
|
" [2880864],\n",
|
|
" [2880848],\n",
|
|
" [2719843],\n",
|
|
" [2696432],\n",
|
|
" [2695276],\n",
|
|
" [2695130]]),\n",
|
|
" array([[2846416],\n",
|
|
" [2846218],\n",
|
|
" [2845673],\n",
|
|
" [2845025],\n",
|
|
" [2833961],\n",
|
|
" [2833344],\n",
|
|
" [2831567],\n",
|
|
" [2818947],\n",
|
|
" [2818481],\n",
|
|
" [2818005],\n",
|
|
" [2800289],\n",
|
|
" [2800231],\n",
|
|
" [2797974],\n",
|
|
" [2797736],\n",
|
|
" [2797431],\n",
|
|
" [2797147],\n",
|
|
" [2791659],\n",
|
|
" [1711985],\n",
|
|
" [1710818],\n",
|
|
" [1646255],\n",
|
|
" [1646206],\n",
|
|
" [1518836],\n",
|
|
" [1430549]]),\n",
|
|
" array([[2659446],\n",
|
|
" [2651239]]),\n",
|
|
" array([[2901271],\n",
|
|
" [2897044],\n",
|
|
" [2875173],\n",
|
|
" [2874522],\n",
|
|
" [2874435],\n",
|
|
" [2874419],\n",
|
|
" [2854193],\n",
|
|
" [2854008],\n",
|
|
" [2853995],\n",
|
|
" [2852134],\n",
|
|
" [2850977],\n",
|
|
" [2849139]]),\n",
|
|
" array([[2931126],\n",
|
|
" [2929852],\n",
|
|
" [2928494],\n",
|
|
" [2917892]]),\n",
|
|
" array([[2931913],\n",
|
|
" [2931857],\n",
|
|
" [2931041],\n",
|
|
" [2931028],\n",
|
|
" [2931012],\n",
|
|
" [2926317],\n",
|
|
" [2916153],\n",
|
|
" [2910229],\n",
|
|
" [2888122]]),\n",
|
|
" array([[2918651],\n",
|
|
" [2918635],\n",
|
|
" [2918165],\n",
|
|
" [2918038],\n",
|
|
" [2915924],\n",
|
|
" [2915363],\n",
|
|
" [2908573],\n",
|
|
" [2908184],\n",
|
|
" [2905078],\n",
|
|
" [2905054],\n",
|
|
" [2904876],\n",
|
|
" [2901675],\n",
|
|
" [2866328],\n",
|
|
" [2863085],\n",
|
|
" [2862012],\n",
|
|
" [2861984],\n",
|
|
" [2853918],\n",
|
|
" [2853748],\n",
|
|
" [2853733],\n",
|
|
" [2644898],\n",
|
|
" [2644733],\n",
|
|
" [2644700],\n",
|
|
" [2559345],\n",
|
|
" [2559292],\n",
|
|
" [2559176],\n",
|
|
" [2555001],\n",
|
|
" [2554973],\n",
|
|
" [2554961],\n",
|
|
" [2554908],\n",
|
|
" [2552308],\n",
|
|
" [2551797],\n",
|
|
" [2543670],\n",
|
|
" [2543043],\n",
|
|
" [2540053],\n",
|
|
" [2540028],\n",
|
|
" [2540005],\n",
|
|
" [2539982],\n",
|
|
" [2539381],\n",
|
|
" [2538847],\n",
|
|
" [2538837],\n",
|
|
" [2534543],\n",
|
|
" [2533998],\n",
|
|
" [2533120],\n",
|
|
" [2525192],\n",
|
|
" [2524599],\n",
|
|
" [2507776],\n",
|
|
" [2481285],\n",
|
|
" [2480645]]),\n",
|
|
" array([[2918651],\n",
|
|
" [2910867],\n",
|
|
" [2905368],\n",
|
|
" [2905107],\n",
|
|
" [2905045],\n",
|
|
" [2903501],\n",
|
|
" [2903480],\n",
|
|
" [2902765],\n",
|
|
" [2895360],\n",
|
|
" [2891770],\n",
|
|
" [2875854],\n",
|
|
" [2875819],\n",
|
|
" [2875633],\n",
|
|
" [2875421],\n",
|
|
" [2875390],\n",
|
|
" [2869572],\n",
|
|
" [2869402],\n",
|
|
" [2869298],\n",
|
|
" [2858886],\n",
|
|
" [2858105]]),\n",
|
|
" array([[2923757]]),\n",
|
|
" array([[2846416],\n",
|
|
" [2846395],\n",
|
|
" [2738918],\n",
|
|
" [2738362],\n",
|
|
" [2738287],\n",
|
|
" [2738048],\n",
|
|
" [2737978],\n",
|
|
" [2607713],\n",
|
|
" [2607440],\n",
|
|
" [2606917],\n",
|
|
" [2523853],\n",
|
|
" [2523843],\n",
|
|
" [2523589]]),\n",
|
|
" array([[2901795]]),\n",
|
|
" array([[2659446],\n",
|
|
" [2659403],\n",
|
|
" [2659164],\n",
|
|
" [2617102],\n",
|
|
" [2614584],\n",
|
|
" [2608579],\n",
|
|
" [2600364],\n",
|
|
" [2589222],\n",
|
|
" [2482385],\n",
|
|
" [2480621],\n",
|
|
" [2479948],\n",
|
|
" [2479931],\n",
|
|
" [2412628],\n",
|
|
" [2411518],\n",
|
|
" [2410458],\n",
|
|
" [2410442],\n",
|
|
" [2361115],\n",
|
|
" [2361066],\n",
|
|
" [2345756],\n",
|
|
" [2326140],\n",
|
|
" [2326114],\n",
|
|
" [2311188],\n",
|
|
" [2311138],\n",
|
|
" [2311082],\n",
|
|
" [2310799],\n",
|
|
" [2284502],\n",
|
|
" [2284288],\n",
|
|
" [2283027],\n",
|
|
" [2283005],\n",
|
|
" [2282983],\n",
|
|
" [2265116],\n",
|
|
" [2241679],\n",
|
|
" [2241312],\n",
|
|
" [2234345],\n",
|
|
" [2233984],\n",
|
|
" [2228423],\n",
|
|
" [2227140],\n",
|
|
" [2221582],\n",
|
|
" [2220938],\n",
|
|
" [2219856],\n",
|
|
" [2217727],\n",
|
|
" [2217638],\n",
|
|
" [2216482],\n",
|
|
" [2215926],\n",
|
|
" [2215430],\n",
|
|
" [2215268],\n",
|
|
" [2215198],\n",
|
|
" [2215116],\n",
|
|
" [2195217],\n",
|
|
" [2195188],\n",
|
|
" [2193541],\n",
|
|
" [1916680],\n",
|
|
" [1916503],\n",
|
|
" [1914222]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2931313],\n",
|
|
" [2931184],\n",
|
|
" [2931162],\n",
|
|
" [2917134],\n",
|
|
" [2916821],\n",
|
|
" [2916308],\n",
|
|
" [2915675],\n",
|
|
" [2914486],\n",
|
|
" [2908016],\n",
|
|
" [2907977],\n",
|
|
" [2903757],\n",
|
|
" [2903403],\n",
|
|
" [2855714],\n",
|
|
" [2854618]]),\n",
|
|
" array([[2918651],\n",
|
|
" [2687897],\n",
|
|
" [2660055],\n",
|
|
" [2658145],\n",
|
|
" [2635024],\n",
|
|
" [2630258]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2929100],\n",
|
|
" [2928969],\n",
|
|
" [2906451],\n",
|
|
" [2906172],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2902698],\n",
|
|
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|
|
" [2895412],\n",
|
|
" [2895356],\n",
|
|
" [2871000],\n",
|
|
" [2808929]]),\n",
|
|
" array([[2901271],\n",
|
|
" [2898013],\n",
|
|
" [2897131],\n",
|
|
" [2896170],\n",
|
|
" [2893405]]),\n",
|
|
" array([[2644772],\n",
|
|
" [2644603],\n",
|
|
" [2643683],\n",
|
|
" [2624831]]),\n",
|
|
" array([[2930320],\n",
|
|
" [2930076],\n",
|
|
" [2930065],\n",
|
|
" [2875922],\n",
|
|
" [2874868],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2868572],\n",
|
|
" [2862040],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2665034],\n",
|
|
" [2664362],\n",
|
|
" [2660173],\n",
|
|
" [2652207]]),\n",
|
|
" array([[2931742],\n",
|
|
" [2927362],\n",
|
|
" [2925545],\n",
|
|
" [2923862],\n",
|
|
" [2481857],\n",
|
|
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|
|
" [2480511],\n",
|
|
" [2480422],\n",
|
|
" [2473001]]),\n",
|
|
" array([[2659446],\n",
|
|
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|
|
" [2658228],\n",
|
|
" [2657487],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2577070],\n",
|
|
" [2577052],\n",
|
|
" [2576561],\n",
|
|
" [2551520],\n",
|
|
" [2551055]]),\n",
|
|
" array([[2659446],\n",
|
|
" [2656870],\n",
|
|
" [2656047],\n",
|
|
" [2654894],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2646930],\n",
|
|
" [2646082],\n",
|
|
" [2645525],\n",
|
|
" [2602838]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2930893],\n",
|
|
" [2930779],\n",
|
|
" [2924550]]),\n",
|
|
" array([[2644772],\n",
|
|
" [2490930],\n",
|
|
" [2489557],\n",
|
|
" [2488169],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1283494],\n",
|
|
" [1283325],\n",
|
|
" [1283246],\n",
|
|
" [1282968]]),\n",
|
|
" array([[2931126],\n",
|
|
" [2930912],\n",
|
|
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|
|
" [2930218],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2177005],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2172643],\n",
|
|
" [2172414],\n",
|
|
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|
|
" [2156837],\n",
|
|
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|
|
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|
|
" [2123880],\n",
|
|
" [2085677],\n",
|
|
" [2076747],\n",
|
|
" [2060126],\n",
|
|
" [2060009],\n",
|
|
" [1909673],\n",
|
|
" [1904305],\n",
|
|
" [1903937],\n",
|
|
" [1903693],\n",
|
|
" [1903668],\n",
|
|
" [1902827],\n",
|
|
" [1902355],\n",
|
|
" [1587557],\n",
|
|
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|
|
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|
|
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|
|
" [1235955],\n",
|
|
" [1232656],\n",
|
|
" [1208335],\n",
|
|
" [ 88995],\n",
|
|
" [ 88962],\n",
|
|
" [ 88933],\n",
|
|
" [ 88863]]),\n",
|
|
" array([[2659446],\n",
|
|
" [2659384],\n",
|
|
" [2658949],\n",
|
|
" [2638493],\n",
|
|
" [2637800],\n",
|
|
" [2637187],\n",
|
|
" [2637073],\n",
|
|
" [2637021],\n",
|
|
" [2628590],\n",
|
|
" [2628558],\n",
|
|
" [2628543],\n",
|
|
" [2611664],\n",
|
|
" [2605314],\n",
|
|
" [2605255],\n",
|
|
" [2605196],\n",
|
|
" [2604955],\n",
|
|
" [2601031],\n",
|
|
" [2600979],\n",
|
|
" [2600892],\n",
|
|
" [2580055]]),\n",
|
|
" array([[2923757]]),\n",
|
|
" array([[2902774],\n",
|
|
" [2902752],\n",
|
|
" [2891117],\n",
|
|
" [2887968],\n",
|
|
" [2887954],\n",
|
|
" [2886065],\n",
|
|
" [2885801]]),\n",
|
|
" array([[2931870],\n",
|
|
" [2931644],\n",
|
|
" [2930269],\n",
|
|
" [2926595],\n",
|
|
" [2926520]]),\n",
|
|
" array([[2931250],\n",
|
|
" [2931226],\n",
|
|
" [2897166],\n",
|
|
" [2897045],\n",
|
|
" [2891097],\n",
|
|
" [2890923],\n",
|
|
" [2890728],\n",
|
|
" [2888536],\n",
|
|
" [2888451],\n",
|
|
" [2888417],\n",
|
|
" [2885758],\n",
|
|
" [2853487],\n",
|
|
" [2847552],\n",
|
|
" [2636466],\n",
|
|
" [2581445],\n",
|
|
" [2580468],\n",
|
|
" [2580456],\n",
|
|
" [2580044],\n",
|
|
" [2579891],\n",
|
|
" [2577245],\n",
|
|
" [2576880],\n",
|
|
" [2530492],\n",
|
|
" [2529344],\n",
|
|
" [2529044],\n",
|
|
" [2528239],\n",
|
|
" [2527225],\n",
|
|
" [2526825],\n",
|
|
" [2489717],\n",
|
|
" [2481376],\n",
|
|
" [2481363],\n",
|
|
" [2480921],\n",
|
|
" [2432279],\n",
|
|
" [2431838],\n",
|
|
" [2431764],\n",
|
|
" [2431663],\n",
|
|
" [2430407],\n",
|
|
" [2429625],\n",
|
|
" [2427916],\n",
|
|
" [2417935],\n",
|
|
" [2417757],\n",
|
|
" [2404353],\n",
|
|
" [2403686],\n",
|
|
" [2403542],\n",
|
|
" [1458382],\n",
|
|
" [1392176],\n",
|
|
" [1381564],\n",
|
|
" [1369868],\n",
|
|
" [1293268],\n",
|
|
" [1291394],\n",
|
|
" [1262525],\n",
|
|
" [1262294]]),\n",
|
|
" array([[2931890],\n",
|
|
" [2931588],\n",
|
|
" [2927527],\n",
|
|
" [2925306],\n",
|
|
" [2923650],\n",
|
|
" [2922683],\n",
|
|
" [2913882],\n",
|
|
" [2908724]]),\n",
|
|
" array([[2832906],\n",
|
|
" [2832726],\n",
|
|
" [2832564]]),\n",
|
|
" array([[2912106],\n",
|
|
" [2912070],\n",
|
|
" [2911649],\n",
|
|
" [2800077]]),\n",
|
|
" array([[2925379],\n",
|
|
" [2747391],\n",
|
|
" [2747083],\n",
|
|
" [2743457],\n",
|
|
" [2740650],\n",
|
|
" [2738153],\n",
|
|
" [2736919],\n",
|
|
" [2736722],\n",
|
|
" [2736385],\n",
|
|
" [2736149],\n",
|
|
" [2690601],\n",
|
|
" [2690586],\n",
|
|
" [2489273],\n",
|
|
" [2474881],\n",
|
|
" [2474848],\n",
|
|
" [2386087]]),\n",
|
|
" array([[2931843],\n",
|
|
" [2931770],\n",
|
|
" [2931517],\n",
|
|
" [2931388],\n",
|
|
" [2930911],\n",
|
|
" [2830425],\n",
|
|
" [2828566],\n",
|
|
" [2828393],\n",
|
|
" [2826971],\n",
|
|
" [2826437],\n",
|
|
" [2826253],\n",
|
|
" [2494547],\n",
|
|
" [2494349],\n",
|
|
" [2492460],\n",
|
|
" [2492257],\n",
|
|
" [2489125],\n",
|
|
" [2488936],\n",
|
|
" [2337924],\n",
|
|
" [2337287]]),\n",
|
|
" array([[2897254],\n",
|
|
" [2896524],\n",
|
|
" [2896475],\n",
|
|
" [2893970],\n",
|
|
" [2893572],\n",
|
|
" [2884229],\n",
|
|
" [2841669],\n",
|
|
" [2319702],\n",
|
|
" [2318559],\n",
|
|
" [2210016],\n",
|
|
" [2209421],\n",
|
|
" [2209312],\n",
|
|
" [2193258],\n",
|
|
" [2193247],\n",
|
|
" [2192511],\n",
|
|
" [2187143],\n",
|
|
" [2186656],\n",
|
|
" [2186084],\n",
|
|
" [2177245],\n",
|
|
" [2124195],\n",
|
|
" [2124182],\n",
|
|
" [2124089],\n",
|
|
" [2123113],\n",
|
|
" [2120831],\n",
|
|
" [2027600],\n",
|
|
" [2016641],\n",
|
|
" [1997671],\n",
|
|
" [1997509],\n",
|
|
" [1926563],\n",
|
|
" [1926532],\n",
|
|
" [1916241],\n",
|
|
" [1915362],\n",
|
|
" [1915296],\n",
|
|
" [1911891],\n",
|
|
" [1911869],\n",
|
|
" [1910420],\n",
|
|
" [1900141],\n",
|
|
" [1899411],\n",
|
|
" [1859914],\n",
|
|
" [1849432]]),\n",
|
|
" array([[2930368],\n",
|
|
" [2929117],\n",
|
|
" [2928831],\n",
|
|
" [2928556]]),\n",
|
|
" array([[2931201],\n",
|
|
" [2915903]]),\n",
|
|
" array([[2931843],\n",
|
|
" [2930076],\n",
|
|
" [2929956],\n",
|
|
" [2929901],\n",
|
|
" [2929017],\n",
|
|
" [2929004],\n",
|
|
" [2928993],\n",
|
|
" [2928367],\n",
|
|
" [2926923],\n",
|
|
" [2925159],\n",
|
|
" [2924684],\n",
|
|
" [2924545],\n",
|
|
" [2920481],\n",
|
|
" [2918272],\n",
|
|
" [2918097],\n",
|
|
" [2901648],\n",
|
|
" [2901627],\n",
|
|
" [2901186],\n",
|
|
" [2769368],\n",
|
|
" [2768972]]),\n",
|
|
" array([[2931776],\n",
|
|
" [2884515],\n",
|
|
" [2884478],\n",
|
|
" [2882715],\n",
|
|
" [2882704],\n",
|
|
" [2882547],\n",
|
|
" [2882276],\n",
|
|
" [2880113],\n",
|
|
" [2878768],\n",
|
|
" [2878679],\n",
|
|
" [2878034],\n",
|
|
" [2483700],\n",
|
|
" [2478746],\n",
|
|
" [2478066],\n",
|
|
" [2398713],\n",
|
|
" [2368920],\n",
|
|
" [2368894],\n",
|
|
" [2368875],\n",
|
|
" [2368742],\n",
|
|
" [2368379],\n",
|
|
" [2367966],\n",
|
|
" [2366394]]),\n",
|
|
" array([[2718833],\n",
|
|
" [2718583],\n",
|
|
" [2713118],\n",
|
|
" [2653289],\n",
|
|
" [2650787],\n",
|
|
" [2444968],\n",
|
|
" [2436587],\n",
|
|
" [2436435],\n",
|
|
" [2435698],\n",
|
|
" [2355212],\n",
|
|
" [2355174],\n",
|
|
" [2355155],\n",
|
|
" [2353987],\n",
|
|
" [2353812],\n",
|
|
" [2353580],\n",
|
|
" [2353352],\n",
|
|
" [2353068],\n",
|
|
" [2335491],\n",
|
|
" [2335426],\n",
|
|
" [2314513],\n",
|
|
" [2314464],\n",
|
|
" [2310169]]),\n",
|
|
" array([[2931858],\n",
|
|
" [2593656],\n",
|
|
" [2593260],\n",
|
|
" [2592200],\n",
|
|
" [2592165],\n",
|
|
" [2592114],\n",
|
|
" [2591829],\n",
|
|
" [2574517],\n",
|
|
" [2572432],\n",
|
|
" [2572314],\n",
|
|
" [2569002],\n",
|
|
" [2568938],\n",
|
|
" [2568679],\n",
|
|
" [2568515],\n",
|
|
" [2551943]]),\n",
|
|
" array([[2931201],\n",
|
|
" [2575708],\n",
|
|
" [2544684],\n",
|
|
" [2541991],\n",
|
|
" [2532186],\n",
|
|
" [2532135],\n",
|
|
" [2531447],\n",
|
|
" [2482538],\n",
|
|
" [2480250],\n",
|
|
" [2480209],\n",
|
|
" [2470794],\n",
|
|
" [2470328],\n",
|
|
" [2470308],\n",
|
|
" [2464605],\n",
|
|
" [2464225],\n",
|
|
" [2464085],\n",
|
|
" [2317241],\n",
|
|
" [2315066],\n",
|
|
" [2314512],\n",
|
|
" [2314488],\n",
|
|
" [2314477],\n",
|
|
" [2265516],\n",
|
|
" [2265504],\n",
|
|
" [2265069],\n",
|
|
" [2071361],\n",
|
|
" [2071320],\n",
|
|
" [2069845],\n",
|
|
" [2068882],\n",
|
|
" [2068857],\n",
|
|
" [2068587],\n",
|
|
" [2061303]]),\n",
|
|
" array([[2928841],\n",
|
|
" [2925916],\n",
|
|
" [2925735],\n",
|
|
" [2921685]]),\n",
|
|
" array([[2718833],\n",
|
|
" [2718782],\n",
|
|
" [2717348],\n",
|
|
" [2717241]]),\n",
|
|
" array([[2925379],\n",
|
|
" [2890028],\n",
|
|
" [2491105],\n",
|
|
" [2470317]]),\n",
|
|
" array([[2931843],\n",
|
|
" [2931781],\n",
|
|
" [2931333],\n",
|
|
" [2929434],\n",
|
|
" [2928515],\n",
|
|
" [2928135],\n",
|
|
" [2926753],\n",
|
|
" [2926489],\n",
|
|
" [2926150]]),\n",
|
|
" array([[2930368],\n",
|
|
" [2929478],\n",
|
|
" [2929036],\n",
|
|
" [2928967],\n",
|
|
" [2928349],\n",
|
|
" [2928047],\n",
|
|
" [2891341],\n",
|
|
" [2891326],\n",
|
|
" [2891279],\n",
|
|
" [2891252],\n",
|
|
" [2890780],\n",
|
|
" [2890744],\n",
|
|
" [2889428],\n",
|
|
" [2879118],\n",
|
|
" [2875801],\n",
|
|
" [2875768],\n",
|
|
" [2874415]]),\n",
|
|
" array([[2925379],\n",
|
|
" [2789454],\n",
|
|
" [2789092],\n",
|
|
" [2740430],\n",
|
|
" [2738746]]),\n",
|
|
" array([[2738789],\n",
|
|
" [2618019],\n",
|
|
" [2588153]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2638945],\n",
|
|
" [2638788],\n",
|
|
" [2637252],\n",
|
|
" [2637230],\n",
|
|
" [2636792],\n",
|
|
" [2635034],\n",
|
|
" [2635000],\n",
|
|
" [2631835],\n",
|
|
" [2631228],\n",
|
|
" [2630974],\n",
|
|
" [2630575],\n",
|
|
" [2630499],\n",
|
|
" [2628539],\n",
|
|
" [2627858],\n",
|
|
" [2627608],\n",
|
|
" [2627343],\n",
|
|
" [2626328],\n",
|
|
" [2592386],\n",
|
|
" [2587299],\n",
|
|
" [2587227],\n",
|
|
" [2581146],\n",
|
|
" [2579550],\n",
|
|
" [2578316],\n",
|
|
" [2578145],\n",
|
|
" [2567382],\n",
|
|
" [2565283],\n",
|
|
" [2565267],\n",
|
|
" [2565053],\n",
|
|
" [2564150]]),\n",
|
|
" array([[2930368],\n",
|
|
" [2924800],\n",
|
|
" [2918958],\n",
|
|
" [2917492],\n",
|
|
" [2905827],\n",
|
|
" [2823977],\n",
|
|
" [2822443],\n",
|
|
" [2821865],\n",
|
|
" [2820220],\n",
|
|
" [2818646],\n",
|
|
" [2818356],\n",
|
|
" [2665288],\n",
|
|
" [2662220],\n",
|
|
" [2661474],\n",
|
|
" [2656617],\n",
|
|
" [2656576],\n",
|
|
" [2656235],\n",
|
|
" [2656149],\n",
|
|
" [2652375],\n",
|
|
" [2650533],\n",
|
|
" [2586462],\n",
|
|
" [2586242],\n",
|
|
" [2586213],\n",
|
|
" [2548854],\n",
|
|
" [2543009],\n",
|
|
" [2542997],\n",
|
|
" [2541912],\n",
|
|
" [2541817],\n",
|
|
" [1856806],\n",
|
|
" [1856774],\n",
|
|
" [1843383],\n",
|
|
" [1843330],\n",
|
|
" [1843145],\n",
|
|
" [1842837],\n",
|
|
" [1842766],\n",
|
|
" [1842238],\n",
|
|
" [1842210],\n",
|
|
" [1841006],\n",
|
|
" [1840882],\n",
|
|
" [1840782],\n",
|
|
" [1840552],\n",
|
|
" [1840179]]),\n",
|
|
" array([[2931897],\n",
|
|
" [2931794]]),\n",
|
|
" array([[2931897],\n",
|
|
" [2908621],\n",
|
|
" [2908604],\n",
|
|
" [2865594],\n",
|
|
" [2864774]]),\n",
|
|
" array([[2930368],\n",
|
|
" [2929745],\n",
|
|
" [2927443]]),\n",
|
|
" array([[2902774],\n",
|
|
" [2902710],\n",
|
|
" [2902370],\n",
|
|
" [2902333],\n",
|
|
" [2901660],\n",
|
|
" [2901543],\n",
|
|
" [2901504],\n",
|
|
" [2894084],\n",
|
|
" [2893802],\n",
|
|
" [2893781],\n",
|
|
" [2882728],\n",
|
|
" [2857833],\n",
|
|
" [2857608],\n",
|
|
" [2856621],\n",
|
|
" [2855769],\n",
|
|
" [2853203],\n",
|
|
" [2798764]]),\n",
|
|
" array([[2832906],\n",
|
|
" [2832865],\n",
|
|
" [2832803],\n",
|
|
" [2832715],\n",
|
|
" [2832695],\n",
|
|
" [2831666]]),\n",
|
|
" array([[2918871],\n",
|
|
" [2911626]]),\n",
|
|
" array([[2911477],\n",
|
|
" [2838754]]),\n",
|
|
" array([[2931356],\n",
|
|
" [2834981],\n",
|
|
" [2834016],\n",
|
|
" [2833998],\n",
|
|
" [2792922],\n",
|
|
" [2792525],\n",
|
|
" [2791532],\n",
|
|
" [2791481],\n",
|
|
" [2786559]]),\n",
|
|
" array([[2931537],\n",
|
|
" [2925108],\n",
|
|
" [2924574],\n",
|
|
" [2924081],\n",
|
|
" [2923757]]),\n",
|
|
" array([[2928682],\n",
|
|
" [2928339],\n",
|
|
" [2928038],\n",
|
|
" [2927985],\n",
|
|
" [2927834],\n",
|
|
" [2899180],\n",
|
|
" [2897907],\n",
|
|
" [2894277],\n",
|
|
" [2894263],\n",
|
|
" [2893841],\n",
|
|
" [2889125],\n",
|
|
" [2889021],\n",
|
|
" [2886388],\n",
|
|
" [2886207],\n",
|
|
" [2885006],\n",
|
|
" [2884842],\n",
|
|
" [2884422],\n",
|
|
" [2873712],\n",
|
|
" [2867869]]),\n",
|
|
" array([[2911477],\n",
|
|
" [2910831],\n",
|
|
" [2910670],\n",
|
|
" [2910606],\n",
|
|
" [2367009],\n",
|
|
" [2342316],\n",
|
|
" [2211486]]),\n",
|
|
" array([[2931700],\n",
|
|
" [2919661]]),\n",
|
|
" array([[2911477],\n",
|
|
" [2903059],\n",
|
|
" [2628468],\n",
|
|
" [2622885],\n",
|
|
" [2622653],\n",
|
|
" [2620554],\n",
|
|
" [2620523],\n",
|
|
" [2611551],\n",
|
|
" [2598791],\n",
|
|
" [2598688],\n",
|
|
" [2598540],\n",
|
|
" [2594735],\n",
|
|
" [2583400],\n",
|
|
" [2569482],\n",
|
|
" [2531985],\n",
|
|
" [2531916],\n",
|
|
" [2531514],\n",
|
|
" [2531503],\n",
|
|
" [2529499],\n",
|
|
" [2505954],\n",
|
|
" [2505720],\n",
|
|
" [2504648],\n",
|
|
" [2504168],\n",
|
|
" [2467118]]),\n",
|
|
" array([[2929007],\n",
|
|
" [2928502]]),\n",
|
|
" array([[2747279],\n",
|
|
" [2747263],\n",
|
|
" [2737967],\n",
|
|
" [2737379],\n",
|
|
" [2604850],\n",
|
|
" [2600738],\n",
|
|
" [2600238],\n",
|
|
" [2600098]]),\n",
|
|
" array([[2931356],\n",
|
|
" [2931168],\n",
|
|
" [2865683],\n",
|
|
" [2864097],\n",
|
|
" [2767735],\n",
|
|
" [2707324],\n",
|
|
" [2702504],\n",
|
|
" [2699922]]),\n",
|
|
" array([[2918871],\n",
|
|
" [2915549],\n",
|
|
" [2913112],\n",
|
|
" [2731283],\n",
|
|
" [2725132]]),\n",
|
|
" array([[2931682],\n",
|
|
" [2931284],\n",
|
|
" [2926083]]),\n",
|
|
" array([[2931537],\n",
|
|
" [2931356],\n",
|
|
" [2926009],\n",
|
|
" [2925609],\n",
|
|
" [2924977],\n",
|
|
" [2924943],\n",
|
|
" [2924438],\n",
|
|
" [2923550]]),\n",
|
|
" array([[2931700],\n",
|
|
" [2927683],\n",
|
|
" [2927647],\n",
|
|
" [2909652],\n",
|
|
" [2909252],\n",
|
|
" [2806645],\n",
|
|
" [2782016],\n",
|
|
" [2777898],\n",
|
|
" [2777222],\n",
|
|
" [2777109],\n",
|
|
" [2775628],\n",
|
|
" [2775605],\n",
|
|
" [2775589],\n",
|
|
" [2725865],\n",
|
|
" [2723684],\n",
|
|
" [2723649],\n",
|
|
" [2721755],\n",
|
|
" [2721244],\n",
|
|
" [2721223],\n",
|
|
" [2710439],\n",
|
|
" [2710314]]),\n",
|
|
" array([[2872343],\n",
|
|
" [2494836],\n",
|
|
" [2494060],\n",
|
|
" [2493559],\n",
|
|
" [2493512],\n",
|
|
" [2493501],\n",
|
|
" [2492559],\n",
|
|
" [2490166],\n",
|
|
" [2490150],\n",
|
|
" [2490127],\n",
|
|
" [2490049],\n",
|
|
" [2484378],\n",
|
|
" [2483701],\n",
|
|
" [2483458],\n",
|
|
" [2482649],\n",
|
|
" [2476630],\n",
|
|
" [2476572],\n",
|
|
" [2474646],\n",
|
|
" [2143930],\n",
|
|
" [2139274],\n",
|
|
" [2134251],\n",
|
|
" [2134125],\n",
|
|
" [2133997],\n",
|
|
" [2133050],\n",
|
|
" [2128765],\n",
|
|
" [2128732],\n",
|
|
" [2128696],\n",
|
|
" [2128685],\n",
|
|
" [2128470]]),\n",
|
|
" array([[2928682],\n",
|
|
" [2928504],\n",
|
|
" [2878771],\n",
|
|
" [2877866],\n",
|
|
" [2877640],\n",
|
|
" [2877600],\n",
|
|
" [2820113],\n",
|
|
" [2781656],\n",
|
|
" [2781002],\n",
|
|
" [2780899],\n",
|
|
" [2780572],\n",
|
|
" [2772775],\n",
|
|
" [2772441],\n",
|
|
" [2772274],\n",
|
|
" [2765188],\n",
|
|
" [2756982]]),\n",
|
|
" array([[2929545],\n",
|
|
" [2929297],\n",
|
|
" [2920411],\n",
|
|
" [2915983],\n",
|
|
" [2912652],\n",
|
|
" [2910893],\n",
|
|
" [2910867],\n",
|
|
" [2909320],\n",
|
|
" [2909275],\n",
|
|
" [2906565],\n",
|
|
" [2906361],\n",
|
|
" [2901406],\n",
|
|
" [2901254],\n",
|
|
" [2901236],\n",
|
|
" [2886249],\n",
|
|
" [2884541],\n",
|
|
" [2880679],\n",
|
|
" [2880030],\n",
|
|
" [2879838],\n",
|
|
" [2834640]]),\n",
|
|
" array([[2918871],\n",
|
|
" [2469784],\n",
|
|
" [2469538],\n",
|
|
" [2442751]]),\n",
|
|
" array([[2929007],\n",
|
|
" [2913877],\n",
|
|
" [2913010],\n",
|
|
" [2912851],\n",
|
|
" [2912786],\n",
|
|
" [2912100]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2931229],\n",
|
|
" [2928851]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2730515],\n",
|
|
" [2730090],\n",
|
|
" [2729024],\n",
|
|
" [2709284],\n",
|
|
" [2708489]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2898486],\n",
|
|
" [2894334],\n",
|
|
" [2892436],\n",
|
|
" [2892242],\n",
|
|
" [2892177],\n",
|
|
" [2892162],\n",
|
|
" [2889318],\n",
|
|
" [2889021],\n",
|
|
" [2888957],\n",
|
|
" [2887419],\n",
|
|
" [2878991],\n",
|
|
" [2878972],\n",
|
|
" [2878696],\n",
|
|
" [2877414],\n",
|
|
" [2784986],\n",
|
|
" [2784171],\n",
|
|
" [2783018],\n",
|
|
" [2755083],\n",
|
|
" [2728749],\n",
|
|
" [2717110]]),\n",
|
|
" array([[2928682],\n",
|
|
" [2928503],\n",
|
|
" [2928006],\n",
|
|
" [2925397],\n",
|
|
" [2875643],\n",
|
|
" [2875129],\n",
|
|
" [2875022],\n",
|
|
" [2874795],\n",
|
|
" [2874035],\n",
|
|
" [2873681],\n",
|
|
" [2851380],\n",
|
|
" [2812296],\n",
|
|
" [2812060],\n",
|
|
" [2811749]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2931890],\n",
|
|
" [2888685],\n",
|
|
" [2888618],\n",
|
|
" [2888602],\n",
|
|
" [2881796],\n",
|
|
" [2769276],\n",
|
|
" [2767979],\n",
|
|
" [2755288],\n",
|
|
" [2755256],\n",
|
|
" [2755090],\n",
|
|
" [2752593],\n",
|
|
" [2750903]]),\n",
|
|
" array([[2925035],\n",
|
|
" [2924900],\n",
|
|
" [2922417],\n",
|
|
" [2922225],\n",
|
|
" [2883242],\n",
|
|
" [2883199],\n",
|
|
" [2883121],\n",
|
|
" [2882307],\n",
|
|
" [2873406],\n",
|
|
" [2873299],\n",
|
|
" [2843164],\n",
|
|
" [2843078],\n",
|
|
" [2707952],\n",
|
|
" [2706083],\n",
|
|
" [2705453],\n",
|
|
" [2701922],\n",
|
|
" [2701900],\n",
|
|
" [2701773],\n",
|
|
" [2700175]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2929408],\n",
|
|
" [2887109],\n",
|
|
" [2886262],\n",
|
|
" [2885893],\n",
|
|
" [2884959],\n",
|
|
" [2884721],\n",
|
|
" [2884496],\n",
|
|
" [2884484],\n",
|
|
" [2884349],\n",
|
|
" [2884256],\n",
|
|
" [2873790],\n",
|
|
" [2873779],\n",
|
|
" [2872363],\n",
|
|
" [2807382],\n",
|
|
" [2807042],\n",
|
|
" [2796785],\n",
|
|
" [2796452],\n",
|
|
" [2793569]]),\n",
|
|
" array([[2931537],\n",
|
|
" [2918540]]),\n",
|
|
" array([[2931914],\n",
|
|
" [2929408],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2645644],\n",
|
|
" [2633960],\n",
|
|
" [2628632]]),\n",
|
|
" array([[2929754],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2880708],\n",
|
|
" [2873327],\n",
|
|
" [2873082]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2923076],\n",
|
|
" [2918515],\n",
|
|
" [2916848],\n",
|
|
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|
|
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|
|
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|
|
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|
|
" [2867201],\n",
|
|
" [2866796],\n",
|
|
" [2826753]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2897412],\n",
|
|
" [2897266],\n",
|
|
" [2896441],\n",
|
|
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|
|
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|
|
" [2894172],\n",
|
|
" [2894102],\n",
|
|
" [2893790],\n",
|
|
" [2884566],\n",
|
|
" [2875463]]),\n",
|
|
" array([[2931876],\n",
|
|
" [2928648],\n",
|
|
" [2921483],\n",
|
|
" [2919367],\n",
|
|
" [2917106]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2931320],\n",
|
|
" [2926687],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2850164],\n",
|
|
" [2849714],\n",
|
|
" [2849511]]),\n",
|
|
" array([[2928946],\n",
|
|
" [2928931],\n",
|
|
" [2928566],\n",
|
|
" [2928414],\n",
|
|
" [2928148],\n",
|
|
" [2919546],\n",
|
|
" [2919421]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2931898],\n",
|
|
" [2931035],\n",
|
|
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|
|
" [2926665],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2924992],\n",
|
|
" [2904654],\n",
|
|
" [2904595],\n",
|
|
" [2898921],\n",
|
|
" [2898785]]),\n",
|
|
" array([[2931800],\n",
|
|
" [2931760],\n",
|
|
" [2931730],\n",
|
|
" [2931719],\n",
|
|
" [2550581],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2275210],\n",
|
|
" [2246546],\n",
|
|
" [2243280],\n",
|
|
" [2242963],\n",
|
|
" [2242494]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2931216],\n",
|
|
" [2930606],\n",
|
|
" [2920088],\n",
|
|
" [2871560],\n",
|
|
" [2860500],\n",
|
|
" [2815302],\n",
|
|
" [2815101]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2931752],\n",
|
|
" [2930089],\n",
|
|
" [2774621]]),\n",
|
|
" array([[2931898],\n",
|
|
" [1583100],\n",
|
|
" [1469570],\n",
|
|
" [1349708],\n",
|
|
" [1349644]]),\n",
|
|
" array([[2931726],\n",
|
|
" [2929623],\n",
|
|
" [2924078],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1411154],\n",
|
|
" [1405496],\n",
|
|
" [1334320],\n",
|
|
" [1268365]]),\n",
|
|
" array([[2903775]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2925941],\n",
|
|
" [2845772],\n",
|
|
" [2836428]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2931213],\n",
|
|
" [2852153],\n",
|
|
" [2852111],\n",
|
|
" [2843564],\n",
|
|
" [2843545],\n",
|
|
" [2841372],\n",
|
|
" [2810385]]),\n",
|
|
" array([[2923909],\n",
|
|
" [2922781],\n",
|
|
" [2920678],\n",
|
|
" [2920350],\n",
|
|
" [2920229],\n",
|
|
" [2832692],\n",
|
|
" [2819255],\n",
|
|
" [2812308],\n",
|
|
" [2807434]]),\n",
|
|
" array([[2931865],\n",
|
|
" [2931821],\n",
|
|
" [2931755],\n",
|
|
" [2931302],\n",
|
|
" [2930213],\n",
|
|
" [2927634],\n",
|
|
" [2916163],\n",
|
|
" [2916066],\n",
|
|
" [2915682],\n",
|
|
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|
|
" [2859915],\n",
|
|
" [2830286],\n",
|
|
" [2830259],\n",
|
|
" [2490163],\n",
|
|
" [2489300],\n",
|
|
" [2483740]]),\n",
|
|
" array([[2931832],\n",
|
|
" [2931656],\n",
|
|
" [2924946],\n",
|
|
" [2924780],\n",
|
|
" [2924635],\n",
|
|
" [2922701],\n",
|
|
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|
|
" [2919367],\n",
|
|
" [2911051],\n",
|
|
" [2886990],\n",
|
|
" [2886844],\n",
|
|
" [2886175],\n",
|
|
" [2885229]]),\n",
|
|
" array([[2903775]]),\n",
|
|
" array([[2928946],\n",
|
|
" [2916497],\n",
|
|
" [2913319]]),\n",
|
|
" array([[2931832],\n",
|
|
" [2931710],\n",
|
|
" [2931500],\n",
|
|
" [2931274],\n",
|
|
" [2931250],\n",
|
|
" [2899160],\n",
|
|
" [2890934],\n",
|
|
" [2879956],\n",
|
|
" [2879931],\n",
|
|
" [2879917],\n",
|
|
" [2878563],\n",
|
|
" [2878506],\n",
|
|
" [2878482],\n",
|
|
" [2853864],\n",
|
|
" [2853840],\n",
|
|
" [2848566],\n",
|
|
" [2826249],\n",
|
|
" [2776729],\n",
|
|
" [2776018],\n",
|
|
" [2775864]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2927603],\n",
|
|
" [2927476],\n",
|
|
" [2927465],\n",
|
|
" [2909023],\n",
|
|
" [2799473],\n",
|
|
" [2798245]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2923076],\n",
|
|
" [2922998],\n",
|
|
" [2922931],\n",
|
|
" [2922145],\n",
|
|
" [2921849],\n",
|
|
" [2918372],\n",
|
|
" [2912089],\n",
|
|
" [2912052],\n",
|
|
" [2677470],\n",
|
|
" [2536455],\n",
|
|
" [2536228],\n",
|
|
" [2535654]]),\n",
|
|
" array([[2931374],\n",
|
|
" [2930551],\n",
|
|
" [2930379],\n",
|
|
" [2930292],\n",
|
|
" [2929338],\n",
|
|
" [2911443],\n",
|
|
" [2911421],\n",
|
|
" [2910024],\n",
|
|
" [2884835],\n",
|
|
" [2884361],\n",
|
|
" [2877320],\n",
|
|
" [2876729],\n",
|
|
" [2875275],\n",
|
|
" [2875016],\n",
|
|
" [2873661],\n",
|
|
" [2873621],\n",
|
|
" [2873000],\n",
|
|
" [2865173],\n",
|
|
" [2847382],\n",
|
|
" [2847035],\n",
|
|
" [2847018],\n",
|
|
" [2836057],\n",
|
|
" [2825674],\n",
|
|
" [2816479],\n",
|
|
" [2811838],\n",
|
|
" [2811651],\n",
|
|
" [2811634],\n",
|
|
" [2810991],\n",
|
|
" [2810813],\n",
|
|
" [2805743],\n",
|
|
" [2801887],\n",
|
|
" [2801498],\n",
|
|
" [2791730],\n",
|
|
" [2782346],\n",
|
|
" [2770783],\n",
|
|
" [2766322],\n",
|
|
" [2765114]]),\n",
|
|
" array([[2931876],\n",
|
|
" [2931798],\n",
|
|
" [2931729],\n",
|
|
" [2922264],\n",
|
|
" [2902184],\n",
|
|
" [2902148],\n",
|
|
" [2894727],\n",
|
|
" [2894475],\n",
|
|
" [2894114],\n",
|
|
" [2890786],\n",
|
|
" [2890333]]),\n",
|
|
" array([[2903775]]),\n",
|
|
" array([[2930455],\n",
|
|
" [2918800],\n",
|
|
" [2915528],\n",
|
|
" [2910485],\n",
|
|
" [2908227]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2931754],\n",
|
|
" [2883579]]),\n",
|
|
" array([[2931903],\n",
|
|
" [2927397],\n",
|
|
" [2926403],\n",
|
|
" [2680192],\n",
|
|
" [2680083]]),\n",
|
|
" array([[2919634],\n",
|
|
" [2919356],\n",
|
|
" [2919204],\n",
|
|
" [2918237],\n",
|
|
" [2908891],\n",
|
|
" [2871874],\n",
|
|
" [2869041],\n",
|
|
" [2867876],\n",
|
|
" [2867085],\n",
|
|
" [2852528],\n",
|
|
" [2852491],\n",
|
|
" [2852417],\n",
|
|
" [2849242],\n",
|
|
" [2821834],\n",
|
|
" [2816705]]),\n",
|
|
" array([[2931436],\n",
|
|
" [2930532],\n",
|
|
" [2930350],\n",
|
|
" [2929914],\n",
|
|
" [2929804],\n",
|
|
" [2861845],\n",
|
|
" [2853695],\n",
|
|
" [2852698],\n",
|
|
" [2846517],\n",
|
|
" [2844588],\n",
|
|
" [2843151]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2924715],\n",
|
|
" [2923211],\n",
|
|
" [2923058]]),\n",
|
|
" array([[2931205],\n",
|
|
" [2931128],\n",
|
|
" [2930725]]),\n",
|
|
" array([[2931830],\n",
|
|
" [2931639],\n",
|
|
" [2931550],\n",
|
|
" [2914140],\n",
|
|
" [2823941],\n",
|
|
" [2813337],\n",
|
|
" [2769719],\n",
|
|
" [2769509],\n",
|
|
" [2680762],\n",
|
|
" [2679137],\n",
|
|
" [2678922]]),\n",
|
|
" array([[2931205],\n",
|
|
" [2931101],\n",
|
|
" [2930996],\n",
|
|
" [2832752],\n",
|
|
" [2787432],\n",
|
|
" [2787244],\n",
|
|
" [2456117],\n",
|
|
" [2455916],\n",
|
|
" [2455733],\n",
|
|
" [2455627],\n",
|
|
" [2451087],\n",
|
|
" [2450703],\n",
|
|
" [2450621],\n",
|
|
" [2445556],\n",
|
|
" [2442957],\n",
|
|
" [2432218],\n",
|
|
" [2331899],\n",
|
|
" [2329554],\n",
|
|
" [2328134],\n",
|
|
" [2320694],\n",
|
|
" [2289420],\n",
|
|
" [2289059],\n",
|
|
" [2172378],\n",
|
|
" [2172365],\n",
|
|
" [2150068],\n",
|
|
" [2149637],\n",
|
|
" [2143296],\n",
|
|
" [2141496],\n",
|
|
" [2141430],\n",
|
|
" [2141005],\n",
|
|
" [2139319],\n",
|
|
" [2138951],\n",
|
|
" [2137872],\n",
|
|
" [1941585],\n",
|
|
" [1940747]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2927894],\n",
|
|
" [2927450],\n",
|
|
" [2927355],\n",
|
|
" [2926922],\n",
|
|
" [2926629],\n",
|
|
" [2925474],\n",
|
|
" [2925412],\n",
|
|
" [2924520],\n",
|
|
" [2923053],\n",
|
|
" [2921458],\n",
|
|
" [2920748],\n",
|
|
" [2920735],\n",
|
|
" [2918740],\n",
|
|
" [2918685],\n",
|
|
" [2918577],\n",
|
|
" [2917187],\n",
|
|
" [2810164],\n",
|
|
" [2807100],\n",
|
|
" [2806895],\n",
|
|
" [2806251]]),\n",
|
|
" array([[2931888],\n",
|
|
" [2930822],\n",
|
|
" [2930811],\n",
|
|
" [2929989],\n",
|
|
" [2926517],\n",
|
|
" [2922210],\n",
|
|
" [2921782],\n",
|
|
" [2916163],\n",
|
|
" [2912201]]),\n",
|
|
" array([[2929775],\n",
|
|
" [2909258]]),\n",
|
|
" array([[2931830],\n",
|
|
" [2931494],\n",
|
|
" [2893804]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2916307],\n",
|
|
" [2916139],\n",
|
|
" [2895603],\n",
|
|
" [2890785],\n",
|
|
" [2890774],\n",
|
|
" [2890753],\n",
|
|
" [2890542],\n",
|
|
" [2886213],\n",
|
|
" [2647733]]),\n",
|
|
" array([[2911703],\n",
|
|
" [2910538],\n",
|
|
" [2909212],\n",
|
|
" [2907228],\n",
|
|
" [2907019],\n",
|
|
" [2907001],\n",
|
|
" [2906626],\n",
|
|
" [2906397],\n",
|
|
" [2884999],\n",
|
|
" [2883802],\n",
|
|
" [2878980],\n",
|
|
" [2878791],\n",
|
|
" [2877327],\n",
|
|
" [2734685]]),\n",
|
|
" array([[2923928]]),\n",
|
|
" array([[2931830],\n",
|
|
" [2931494],\n",
|
|
" [2930804],\n",
|
|
" [2929768],\n",
|
|
" [2493910],\n",
|
|
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|
|
" [2493837],\n",
|
|
" [2486967],\n",
|
|
" [2486660],\n",
|
|
" [1381991],\n",
|
|
" [ 53408],\n",
|
|
" [ 53379],\n",
|
|
" [ 53367],\n",
|
|
" [ 53355],\n",
|
|
" [ 53288]]),\n",
|
|
" array([[2931008],\n",
|
|
" [2930979],\n",
|
|
" [2930964],\n",
|
|
" [2930864],\n",
|
|
" [2907189],\n",
|
|
" [2905084],\n",
|
|
" [2905006],\n",
|
|
" [2904828]]),\n",
|
|
" array([[2919634],\n",
|
|
" [2915690],\n",
|
|
" [2914885],\n",
|
|
" [2867081],\n",
|
|
" [2866132],\n",
|
|
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|
|
" [2857130],\n",
|
|
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|
|
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|
|
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|
|
" [2569663],\n",
|
|
" [2556056],\n",
|
|
" [2552293],\n",
|
|
" [2552212],\n",
|
|
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|
|
" [2549224],\n",
|
|
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|
|
" [2534981],\n",
|
|
" [2534499],\n",
|
|
" [2524280],\n",
|
|
" [2523970],\n",
|
|
" [2523918],\n",
|
|
" [2521485],\n",
|
|
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|
|
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|
|
" [2518879],\n",
|
|
" [2515046],\n",
|
|
" [2514475],\n",
|
|
" [2489972],\n",
|
|
" [2471555],\n",
|
|
" [2471496],\n",
|
|
" [2446092],\n",
|
|
" [2446079],\n",
|
|
" [2439952],\n",
|
|
" [2260143],\n",
|
|
" [2234749],\n",
|
|
" [2234597],\n",
|
|
" [2221205],\n",
|
|
" [2197080],\n",
|
|
" [2196925],\n",
|
|
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|
|
" [2154935],\n",
|
|
" [2153921],\n",
|
|
" [2153888],\n",
|
|
" [2148373],\n",
|
|
" [2077640],\n",
|
|
" [1771024],\n",
|
|
" [1769939]]),\n",
|
|
" array([[2931855],\n",
|
|
" [2931600],\n",
|
|
" [2712413],\n",
|
|
" [2712356],\n",
|
|
" [2712102],\n",
|
|
" [2711752],\n",
|
|
" [2709523],\n",
|
|
" [2701794],\n",
|
|
" [2701771],\n",
|
|
" [2701701],\n",
|
|
" [2701402],\n",
|
|
" [2701379],\n",
|
|
" [2700882],\n",
|
|
" [2700567]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2728305],\n",
|
|
" [2726788],\n",
|
|
" [2726253],\n",
|
|
" [2725309],\n",
|
|
" [2724786]]),\n",
|
|
" array([[2931722],\n",
|
|
" [2928086],\n",
|
|
" [2928029],\n",
|
|
" [2927467],\n",
|
|
" [2926522],\n",
|
|
" [2926163],\n",
|
|
" [2925938],\n",
|
|
" [2893900],\n",
|
|
" [2656102],\n",
|
|
" [2655994],\n",
|
|
" [2655903],\n",
|
|
" [2655882],\n",
|
|
" [2611204],\n",
|
|
" [2606685],\n",
|
|
" [2504525],\n",
|
|
" [2504217],\n",
|
|
" [2501739],\n",
|
|
" [2501664],\n",
|
|
" [2486999],\n",
|
|
" [2485566],\n",
|
|
" [2485544],\n",
|
|
" [2482522],\n",
|
|
" [2479511],\n",
|
|
" [2474702],\n",
|
|
" [2448029],\n",
|
|
" [2447819],\n",
|
|
" [2446817],\n",
|
|
" [2436604],\n",
|
|
" [2118983],\n",
|
|
" [2118949],\n",
|
|
" [2118834],\n",
|
|
" [2096116]]),\n",
|
|
" array([[2931722],\n",
|
|
" [2931709],\n",
|
|
" [2809036],\n",
|
|
" [2744051],\n",
|
|
" [2585879],\n",
|
|
" [2584033],\n",
|
|
" [2563152],\n",
|
|
" [2560908],\n",
|
|
" [2560656],\n",
|
|
" [2553226],\n",
|
|
" [2553086],\n",
|
|
" [2545993],\n",
|
|
" [2545868],\n",
|
|
" [2544617],\n",
|
|
" [2544594],\n",
|
|
" [2535121],\n",
|
|
" [2535062],\n",
|
|
" [2534777],\n",
|
|
" [2534650],\n",
|
|
" [2424818],\n",
|
|
" [2424330],\n",
|
|
" [2416473],\n",
|
|
" [2416231],\n",
|
|
" [2415589],\n",
|
|
" [2415453],\n",
|
|
" [2393808],\n",
|
|
" [2384074],\n",
|
|
" [2381903],\n",
|
|
" [2292047],\n",
|
|
" [2292023],\n",
|
|
" [2263989],\n",
|
|
" [2222271],\n",
|
|
" [2220843],\n",
|
|
" [2220763],\n",
|
|
" [2220729],\n",
|
|
" [2147994],\n",
|
|
" [2147906]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2922529],\n",
|
|
" [2917956],\n",
|
|
" [2917282],\n",
|
|
" [2916476],\n",
|
|
" [2916278],\n",
|
|
" [2916224],\n",
|
|
" [2916198],\n",
|
|
" [2916106],\n",
|
|
" [2909297],\n",
|
|
" [2908857],\n",
|
|
" [2875101],\n",
|
|
" [2874941],\n",
|
|
" [2870849],\n",
|
|
" [2864044],\n",
|
|
" [2861520],\n",
|
|
" [2722922]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2930994]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2923033],\n",
|
|
" [2922815],\n",
|
|
" [2922433],\n",
|
|
" [2913107],\n",
|
|
" [2913011],\n",
|
|
" [2909046],\n",
|
|
" [2908182],\n",
|
|
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|
|
" [2905462],\n",
|
|
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|
|
" [2903953],\n",
|
|
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|
|
" [2900839],\n",
|
|
" [2900816],\n",
|
|
" [2898787],\n",
|
|
" [2775129],\n",
|
|
" [2773070],\n",
|
|
" [2773023],\n",
|
|
" [2772858],\n",
|
|
" [2772817],\n",
|
|
" [2770297],\n",
|
|
" [2770286],\n",
|
|
" [2768899],\n",
|
|
" [2757560],\n",
|
|
" [2757421],\n",
|
|
" [2757409],\n",
|
|
" [2757373],\n",
|
|
" [2746533],\n",
|
|
" [2746388],\n",
|
|
" [2746026],\n",
|
|
" [2745682],\n",
|
|
" [2743307],\n",
|
|
" [2742702],\n",
|
|
" [2742346],\n",
|
|
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|
|
" [2737852],\n",
|
|
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|
|
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|
|
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|
|
" [2731731],\n",
|
|
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|
|
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|
|
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|
|
" [2728906],\n",
|
|
" [2726270],\n",
|
|
" [2424296],\n",
|
|
" [2423034],\n",
|
|
" [2421360],\n",
|
|
" [2421237],\n",
|
|
" [2420492],\n",
|
|
" [2420362],\n",
|
|
" [2417735],\n",
|
|
" [2411921],\n",
|
|
" [2411722]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2924567],\n",
|
|
" [2923688],\n",
|
|
" [2923462],\n",
|
|
" [2921626],\n",
|
|
" [2921582],\n",
|
|
" [2918174],\n",
|
|
" [2778132]]),\n",
|
|
" array([[2931888],\n",
|
|
" [2929827],\n",
|
|
" [2928849],\n",
|
|
" [2928669],\n",
|
|
" [2924017],\n",
|
|
" [2924006],\n",
|
|
" [2923989],\n",
|
|
" [2446187],\n",
|
|
" [2409816],\n",
|
|
" [2388365],\n",
|
|
" [2387254],\n",
|
|
" [2386599],\n",
|
|
" [2383978],\n",
|
|
" [2383791],\n",
|
|
" [2382784],\n",
|
|
" [2363842],\n",
|
|
" [2363805],\n",
|
|
" [2363668],\n",
|
|
" [2363619],\n",
|
|
" [2363609],\n",
|
|
" [2363481],\n",
|
|
" [2363031],\n",
|
|
" [2317807],\n",
|
|
" [2317796],\n",
|
|
" [2304082],\n",
|
|
" [2303364],\n",
|
|
" [2303340],\n",
|
|
" [2303221],\n",
|
|
" [2302741],\n",
|
|
" [2302709],\n",
|
|
" [2302525],\n",
|
|
" [2298808],\n",
|
|
" [2277174],\n",
|
|
" [2273884],\n",
|
|
" [2269575],\n",
|
|
" [2265401],\n",
|
|
" [2246938],\n",
|
|
" [2243840],\n",
|
|
" [2243824],\n",
|
|
" [2241337],\n",
|
|
" [2241149],\n",
|
|
" [2218486],\n",
|
|
" [2218165],\n",
|
|
" [1952473]]),\n",
|
|
" array([[2919634],\n",
|
|
" [2919401],\n",
|
|
" [2753544],\n",
|
|
" [2732138],\n",
|
|
" [2732066],\n",
|
|
" [2728612]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2931570],\n",
|
|
" [2931479],\n",
|
|
" [2924624],\n",
|
|
" [2923743],\n",
|
|
" [2907042],\n",
|
|
" [2906273],\n",
|
|
" [2905879]]),\n",
|
|
" array([[2924848],\n",
|
|
" [2922062],\n",
|
|
" [2921393],\n",
|
|
" [2921171],\n",
|
|
" [2917954],\n",
|
|
" [2917924],\n",
|
|
" [2913683],\n",
|
|
" [2902833],\n",
|
|
" [2892354],\n",
|
|
" [2892312],\n",
|
|
" [2892204],\n",
|
|
" [2891769],\n",
|
|
" [2886727],\n",
|
|
" [2886503],\n",
|
|
" [2853529]]),\n",
|
|
" array([[2931888],\n",
|
|
" [2925310],\n",
|
|
" [2925178],\n",
|
|
" [2924885],\n",
|
|
" [2921685]]),\n",
|
|
" array([[2911703],\n",
|
|
" [2906275]]),\n",
|
|
" array([[2681369],\n",
|
|
" [2675482],\n",
|
|
" [2529097],\n",
|
|
" [2224946],\n",
|
|
" [2224843],\n",
|
|
" [2224820],\n",
|
|
" [2172170],\n",
|
|
" [2171644],\n",
|
|
" [2170925],\n",
|
|
" [2170740],\n",
|
|
" [2170722],\n",
|
|
" [2170105],\n",
|
|
" [2170060],\n",
|
|
" [2168323],\n",
|
|
" [2159796],\n",
|
|
" [2092628],\n",
|
|
" [2084761],\n",
|
|
" [2084703],\n",
|
|
" [2078154],\n",
|
|
" [2077741],\n",
|
|
" [2077577],\n",
|
|
" [2077565],\n",
|
|
" [2061599],\n",
|
|
" [2061553],\n",
|
|
" [2061505],\n",
|
|
" [2058988],\n",
|
|
" [2058173],\n",
|
|
" [2055006],\n",
|
|
" [1613633],\n",
|
|
" [1598603],\n",
|
|
" [1554412],\n",
|
|
" [1413441],\n",
|
|
" [1305214]]),\n",
|
|
" array([[2930508]]),\n",
|
|
" array([[2916888],\n",
|
|
" [2916732],\n",
|
|
" [2916638],\n",
|
|
" [2916486],\n",
|
|
" [2916453],\n",
|
|
" [2912819],\n",
|
|
" [2903356],\n",
|
|
" [2179350],\n",
|
|
" [2179220],\n",
|
|
" [2170436],\n",
|
|
" [2170411],\n",
|
|
" [2168484],\n",
|
|
" [2162969],\n",
|
|
" [1413186],\n",
|
|
" [1412997],\n",
|
|
" [1327889],\n",
|
|
" [1326419],\n",
|
|
" [1326388],\n",
|
|
" [1326375],\n",
|
|
" [1324095]]),\n",
|
|
" array([[2928669]]),\n",
|
|
" array([[2924596],\n",
|
|
" [2922584],\n",
|
|
" [2763327],\n",
|
|
" [2763094],\n",
|
|
" [2762279],\n",
|
|
" [2735555],\n",
|
|
" [2734098],\n",
|
|
" [2734079],\n",
|
|
" [2733503],\n",
|
|
" [2726867],\n",
|
|
" [2697585],\n",
|
|
" [2692064]]),\n",
|
|
" array([[2927752],\n",
|
|
" [2414907],\n",
|
|
" [2414651],\n",
|
|
" [2413996],\n",
|
|
" [2411042],\n",
|
|
" [2346803],\n",
|
|
" [2344410],\n",
|
|
" [2344192],\n",
|
|
" [2331864],\n",
|
|
" [2324530],\n",
|
|
" [2324234],\n",
|
|
" [2302184],\n",
|
|
" [2302167],\n",
|
|
" [2301602],\n",
|
|
" [2300954],\n",
|
|
" [2299746],\n",
|
|
" [2299603],\n",
|
|
" [2293668],\n",
|
|
" [2293166],\n",
|
|
" [2292950],\n",
|
|
" [2292512],\n",
|
|
" [2290994],\n",
|
|
" [2288560],\n",
|
|
" [2288267],\n",
|
|
" [2287428],\n",
|
|
" [2281140],\n",
|
|
" [2104403],\n",
|
|
" [2104392],\n",
|
|
" [2103630],\n",
|
|
" [2102611],\n",
|
|
" [2101366],\n",
|
|
" [2100940],\n",
|
|
" [2092843],\n",
|
|
" [2045040],\n",
|
|
" [2038385]]),\n",
|
|
" array([[2928669]]),\n",
|
|
" array([[1607751],\n",
|
|
" [1450090],\n",
|
|
" [1323161],\n",
|
|
" [1322582],\n",
|
|
" [1315166],\n",
|
|
" [1287646]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931903],\n",
|
|
" [2931828],\n",
|
|
" [2931201]]),\n",
|
|
" array([[2930508]]),\n",
|
|
" array([[2931421],\n",
|
|
" [2931401],\n",
|
|
" [2930619],\n",
|
|
" [2930588],\n",
|
|
" [2929429],\n",
|
|
" [2928057],\n",
|
|
" [2928039],\n",
|
|
" [2924317],\n",
|
|
" [2924206]]),\n",
|
|
" array([[2931915],\n",
|
|
" [2931449],\n",
|
|
" [2931125],\n",
|
|
" [2926703],\n",
|
|
" [2798692],\n",
|
|
" [2747680]]),\n",
|
|
" array([[2924596],\n",
|
|
" [2917832],\n",
|
|
" [2913406],\n",
|
|
" [2910262],\n",
|
|
" [2909465],\n",
|
|
" [2909454],\n",
|
|
" [2909088],\n",
|
|
" [2906032],\n",
|
|
" [2901036],\n",
|
|
" [2890077],\n",
|
|
" [2870267],\n",
|
|
" [2870246],\n",
|
|
" [2870154],\n",
|
|
" [2868611],\n",
|
|
" [2867254],\n",
|
|
" [2867163],\n",
|
|
" [2867132],\n",
|
|
" [2847774],\n",
|
|
" [2846978],\n",
|
|
" [2843323],\n",
|
|
" [2517008],\n",
|
|
" [2516753],\n",
|
|
" [2513658],\n",
|
|
" [2513581],\n",
|
|
" [2512994],\n",
|
|
" [2503310],\n",
|
|
" [2503290],\n",
|
|
" [2503252],\n",
|
|
" [2464326],\n",
|
|
" [2464152],\n",
|
|
" [2463673],\n",
|
|
" [2425801],\n",
|
|
" [2425203],\n",
|
|
" [2425131],\n",
|
|
" [2425106],\n",
|
|
" [2424019],\n",
|
|
" [2423850],\n",
|
|
" [2422977],\n",
|
|
" [2385689],\n",
|
|
" [2373297],\n",
|
|
" [2100891],\n",
|
|
" [2100800],\n",
|
|
" [2097339],\n",
|
|
" [2091867],\n",
|
|
" [2090162],\n",
|
|
" [2071579],\n",
|
|
" [2071270],\n",
|
|
" [2066427],\n",
|
|
" [2060014],\n",
|
|
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|
|
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|
|
" [2050382],\n",
|
|
" [2046060],\n",
|
|
" [2041170],\n",
|
|
" [2040628]]),\n",
|
|
" array([[2879921],\n",
|
|
" [2879911],\n",
|
|
" [2879120],\n",
|
|
" [2878994],\n",
|
|
" [2876687]]),\n",
|
|
" array([[2924596],\n",
|
|
" [2922833],\n",
|
|
" [2922788],\n",
|
|
" [2922623],\n",
|
|
" [2772137],\n",
|
|
" [2772005]]),\n",
|
|
" array([[2916466],\n",
|
|
" [2916077],\n",
|
|
" [2916062],\n",
|
|
" [2915848],\n",
|
|
" [2915535],\n",
|
|
" [2915005]]),\n",
|
|
" array([[2931809],\n",
|
|
" [2930936],\n",
|
|
" [2929175],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2822725],\n",
|
|
" [2822606],\n",
|
|
" [2817460],\n",
|
|
" [2817291],\n",
|
|
" [2793793]]),\n",
|
|
" array([[2916466],\n",
|
|
" [2916453],\n",
|
|
" [2915959],\n",
|
|
" [2915871],\n",
|
|
" [2911865],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2737790],\n",
|
|
" [2737765],\n",
|
|
" [2737391],\n",
|
|
" [2736581]]),\n",
|
|
" array([[2923941],\n",
|
|
" [2923818],\n",
|
|
" [2923497]]),\n",
|
|
" array([[2879921],\n",
|
|
" [2879909],\n",
|
|
" [2879726],\n",
|
|
" [2879604],\n",
|
|
" [2870072],\n",
|
|
" [2868591],\n",
|
|
" [2856181],\n",
|
|
" [2851953],\n",
|
|
" [2851880]]),\n",
|
|
" array([[2477406],\n",
|
|
" [2458828],\n",
|
|
" [2456155],\n",
|
|
" [2450610],\n",
|
|
" [2450500]]),\n",
|
|
" array([[1607751],\n",
|
|
" [1447269],\n",
|
|
" [1402314],\n",
|
|
" [1390072],\n",
|
|
" [1273156],\n",
|
|
" [1272082],\n",
|
|
" [1255147],\n",
|
|
" [1252327],\n",
|
|
" [1247856],\n",
|
|
" [1231040],\n",
|
|
" [1229786],\n",
|
|
" [1226958],\n",
|
|
" [1224096],\n",
|
|
" [1222045]]),\n",
|
|
" array([[2879921],\n",
|
|
" [2879798],\n",
|
|
" [2227913],\n",
|
|
" [1965056],\n",
|
|
" [1964509],\n",
|
|
" [1961787],\n",
|
|
" [1948844],\n",
|
|
" [1948720],\n",
|
|
" [1850015],\n",
|
|
" [1834912],\n",
|
|
" [1834772]]),\n",
|
|
" array([[2681369],\n",
|
|
" [2678949],\n",
|
|
" [2677697],\n",
|
|
" [2676415],\n",
|
|
" [2674381]]),\n",
|
|
" array([[2924596],\n",
|
|
" [2923151],\n",
|
|
" [2921024],\n",
|
|
" [2919275],\n",
|
|
" [2917559],\n",
|
|
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|
|
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|
|
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|
|
" [2841682],\n",
|
|
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|
|
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|
|
" [2817291],\n",
|
|
" [2200308],\n",
|
|
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|
|
" [2194057],\n",
|
|
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|
|
" [2189431],\n",
|
|
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|
|
" [2117456],\n",
|
|
" [2112691],\n",
|
|
" [2023234],\n",
|
|
" [2010175],\n",
|
|
" [2009347],\n",
|
|
" [2009162],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1982688],\n",
|
|
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|
|
" [1972363],\n",
|
|
" [1970821],\n",
|
|
" [1970810],\n",
|
|
" [1967737]]),\n",
|
|
" array([[2927752],\n",
|
|
" [2927718],\n",
|
|
" [2898116],\n",
|
|
" [2897577],\n",
|
|
" [2897536],\n",
|
|
" [2895819],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2856630],\n",
|
|
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|
|
" [2853514],\n",
|
|
" [2847582],\n",
|
|
" [2845129],\n",
|
|
" [2817367],\n",
|
|
" [2815645],\n",
|
|
" [2813781]]),\n",
|
|
" array([[2931809],\n",
|
|
" [2927191],\n",
|
|
" [2927068],\n",
|
|
" [2926704],\n",
|
|
" [2926681],\n",
|
|
" [2926481],\n",
|
|
" [2926394],\n",
|
|
" [2764555]]),\n",
|
|
" array([[2931809],\n",
|
|
" [2047392],\n",
|
|
" [2047210],\n",
|
|
" [2045608],\n",
|
|
" [2044573]]),\n",
|
|
" array([[2927752],\n",
|
|
" [2414907],\n",
|
|
" [2414896],\n",
|
|
" [2414659],\n",
|
|
" [2414521],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2357138],\n",
|
|
" [2345806],\n",
|
|
" [2345766],\n",
|
|
" [1967024],\n",
|
|
" [1963210],\n",
|
|
" [1962047],\n",
|
|
" [1954777],\n",
|
|
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|
|
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|
|
" [1803888],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1425293],\n",
|
|
" [1424467],\n",
|
|
" [1424398],\n",
|
|
" [1424322]]),\n",
|
|
" array([[2916888],\n",
|
|
" [2916792],\n",
|
|
" [2916732],\n",
|
|
" [2916648],\n",
|
|
" [2916210],\n",
|
|
" [2915876],\n",
|
|
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|
|
" [2905349],\n",
|
|
" [2748389],\n",
|
|
" [2743784],\n",
|
|
" [2743332],\n",
|
|
" [2697209],\n",
|
|
" [2697193],\n",
|
|
" [2697173],\n",
|
|
" [2696991]]),\n",
|
|
" array([[2930428],\n",
|
|
" [2930248]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2930465],\n",
|
|
" [2666600],\n",
|
|
" [2666027],\n",
|
|
" [2662172],\n",
|
|
" [2656958],\n",
|
|
" [2656885],\n",
|
|
" [2654956],\n",
|
|
" [2621437],\n",
|
|
" [2621392],\n",
|
|
" [2609902],\n",
|
|
" [2609822],\n",
|
|
" [2609806],\n",
|
|
" [2597222]]),\n",
|
|
" array([[2931709],\n",
|
|
" [2931464],\n",
|
|
" [2930475],\n",
|
|
" [2652048],\n",
|
|
" [2652026],\n",
|
|
" [2648847],\n",
|
|
" [2632725],\n",
|
|
" [2632652],\n",
|
|
" [2623017],\n",
|
|
" [2622637],\n",
|
|
" [2621969],\n",
|
|
" [2621674],\n",
|
|
" [2621617],\n",
|
|
" [2620642],\n",
|
|
" [2596059],\n",
|
|
" [2595317],\n",
|
|
" [2506944],\n",
|
|
" [2506472],\n",
|
|
" [2506355],\n",
|
|
" [2506275],\n",
|
|
" [2506224],\n",
|
|
" [2050653],\n",
|
|
" [2049656],\n",
|
|
" [2010507],\n",
|
|
" [2010315],\n",
|
|
" [1999197],\n",
|
|
" [1976512],\n",
|
|
" [1976249],\n",
|
|
" [1975872]]),\n",
|
|
" array([[2931794]]),\n",
|
|
" array([[2931861],\n",
|
|
" [2931776],\n",
|
|
" [2925285],\n",
|
|
" [2898600],\n",
|
|
" [2888561],\n",
|
|
" [2863309],\n",
|
|
" [2825081],\n",
|
|
" [2741759],\n",
|
|
" [2740639]]),\n",
|
|
" array([[2926677],\n",
|
|
" [2925934],\n",
|
|
" [2904500],\n",
|
|
" [2904365],\n",
|
|
" [2904091],\n",
|
|
" [2903756],\n",
|
|
" [2844690],\n",
|
|
" [2844140],\n",
|
|
" [2821726],\n",
|
|
" [2821401]]),\n",
|
|
" array([[2931912],\n",
|
|
" [2925586],\n",
|
|
" [2925386],\n",
|
|
" [2925360],\n",
|
|
" [2924490],\n",
|
|
" [2924209]]),\n",
|
|
" array([[2931777],\n",
|
|
" [2931727],\n",
|
|
" [2928462],\n",
|
|
" [2928451],\n",
|
|
" [2928436],\n",
|
|
" [2926042],\n",
|
|
" [2924457],\n",
|
|
" [2924408],\n",
|
|
" [2924019],\n",
|
|
" [2923898],\n",
|
|
" [2923031],\n",
|
|
" [2675564],\n",
|
|
" [2675218],\n",
|
|
" [2665574],\n",
|
|
" [2662488],\n",
|
|
" [2661684],\n",
|
|
" [2660182],\n",
|
|
" [2660085],\n",
|
|
" [2659996],\n",
|
|
" [2658927],\n",
|
|
" [2658526],\n",
|
|
" [2658418],\n",
|
|
" [2657973],\n",
|
|
" [2654147],\n",
|
|
" [2652986]]),\n",
|
|
" array([[2927443],\n",
|
|
" [2927336],\n",
|
|
" [2922539],\n",
|
|
" [2918535],\n",
|
|
" [2918362],\n",
|
|
" [2917708],\n",
|
|
" [2917473],\n",
|
|
" [2917452],\n",
|
|
" [2917434],\n",
|
|
" [2917410],\n",
|
|
" [2916301],\n",
|
|
" [2916136],\n",
|
|
" [2915231],\n",
|
|
" [2882346],\n",
|
|
" [2881474],\n",
|
|
" [2748496],\n",
|
|
" [2748073],\n",
|
|
" [2747788],\n",
|
|
" [2747776],\n",
|
|
" [2737332],\n",
|
|
" [2735820],\n",
|
|
" [2735783],\n",
|
|
" [2735747],\n",
|
|
" [2735592],\n",
|
|
" [2725997],\n",
|
|
" [2724923]]),\n",
|
|
" array([[2878912],\n",
|
|
" [2878219],\n",
|
|
" [2878037],\n",
|
|
" [2877690]]),\n",
|
|
" array([[2929331],\n",
|
|
" [2929285],\n",
|
|
" [2903222],\n",
|
|
" [2901201],\n",
|
|
" [2896446],\n",
|
|
" [2895810],\n",
|
|
" [2889306],\n",
|
|
" [2888698],\n",
|
|
" [2888065],\n",
|
|
" [2888004],\n",
|
|
" [2887985],\n",
|
|
" [2887799],\n",
|
|
" [2887585],\n",
|
|
" [2887378],\n",
|
|
" [2886646],\n",
|
|
" [2886595],\n",
|
|
" [2880351],\n",
|
|
" [2879415],\n",
|
|
" [2876643],\n",
|
|
" [2876515],\n",
|
|
" [2874245],\n",
|
|
" [2777924]]),\n",
|
|
" array([[2915938],\n",
|
|
" [2915326],\n",
|
|
" [2915315],\n",
|
|
" [2915299],\n",
|
|
" [2915232],\n",
|
|
" [2872322],\n",
|
|
" [2872307],\n",
|
|
" [2718142],\n",
|
|
" [2716942],\n",
|
|
" [2716610],\n",
|
|
" [2705692],\n",
|
|
" [2703407],\n",
|
|
" [2694237],\n",
|
|
" [2693924]]),\n",
|
|
" array([[2931370],\n",
|
|
" [2930629],\n",
|
|
" [2928292],\n",
|
|
" [2927845],\n",
|
|
" [2927661],\n",
|
|
" [2926831],\n",
|
|
" [2924595],\n",
|
|
" [2924199],\n",
|
|
" [2923994],\n",
|
|
" [2923500],\n",
|
|
" [2923462],\n",
|
|
" [2918605]]),\n",
|
|
" array([[2931912],\n",
|
|
" [2931899],\n",
|
|
" [2931232],\n",
|
|
" [2927546],\n",
|
|
" [2926162]]),\n",
|
|
" array([[2931614],\n",
|
|
" [2930109],\n",
|
|
" [2925609],\n",
|
|
" [2918906],\n",
|
|
" [2918237],\n",
|
|
" [2912921],\n",
|
|
" [2912540],\n",
|
|
" [2912156],\n",
|
|
" [2911748],\n",
|
|
" [2910735],\n",
|
|
" [2910208],\n",
|
|
" [2910191],\n",
|
|
" [2897561],\n",
|
|
" [2897424],\n",
|
|
" [2897023],\n",
|
|
" [2871495]]),\n",
|
|
" array([[2486041],\n",
|
|
" [2486002],\n",
|
|
" [2483056],\n",
|
|
" [2483013],\n",
|
|
" [2481150],\n",
|
|
" [2478607],\n",
|
|
" [2416373],\n",
|
|
" [2206432],\n",
|
|
" [2205874]]),\n",
|
|
" array([[2931349],\n",
|
|
" [2931339],\n",
|
|
" [2803192],\n",
|
|
" [2802938]]),\n",
|
|
" array([[2931913],\n",
|
|
" [2931896],\n",
|
|
" [2931872],\n",
|
|
" [2931589],\n",
|
|
" [2663786],\n",
|
|
" [2663437],\n",
|
|
" [2663105],\n",
|
|
" [2662880],\n",
|
|
" [2662396],\n",
|
|
" [2662384],\n",
|
|
" [2661941],\n",
|
|
" [2648339],\n",
|
|
" [2648080],\n",
|
|
" [2593505],\n",
|
|
" [2587953],\n",
|
|
" [2587885],\n",
|
|
" [2587474],\n",
|
|
" [2573089],\n",
|
|
" [2569552],\n",
|
|
" [2568277],\n",
|
|
" [2566876],\n",
|
|
" [2565162],\n",
|
|
" [2563864],\n",
|
|
" [2562821],\n",
|
|
" [2557520],\n",
|
|
" [2557463],\n",
|
|
" [2556475],\n",
|
|
" [2556432],\n",
|
|
" [2555817],\n",
|
|
" [2554006],\n",
|
|
" [2553763]]),\n",
|
|
" array([[2931881],\n",
|
|
" [2931496],\n",
|
|
" [2930139]]),\n",
|
|
" array([[2931874],\n",
|
|
" [2906368],\n",
|
|
" [2902435],\n",
|
|
" [2893323],\n",
|
|
" [2893220],\n",
|
|
" [2888359],\n",
|
|
" [2880594],\n",
|
|
" [2880490],\n",
|
|
" [2140555],\n",
|
|
" [2140141],\n",
|
|
" [2138313],\n",
|
|
" [2137197],\n",
|
|
" [2137161],\n",
|
|
" [2137144],\n",
|
|
" [2105927],\n",
|
|
" [2090527],\n",
|
|
" [2090415],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1734862],\n",
|
|
" [1730626],\n",
|
|
" [1730467]]),\n",
|
|
" array([[2930836],\n",
|
|
" [2928325],\n",
|
|
" [2928191],\n",
|
|
" [2914142]]),\n",
|
|
" array([[2923767],\n",
|
|
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|
|
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|
|
" [2923437],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2733403],\n",
|
|
" [2732806],\n",
|
|
" [2732784],\n",
|
|
" [2716174],\n",
|
|
" [2651592],\n",
|
|
" [2650629]]),\n",
|
|
" array([[2930868],\n",
|
|
" [2930631],\n",
|
|
" [2930611],\n",
|
|
" [2928952],\n",
|
|
" [2876974],\n",
|
|
" [2874823],\n",
|
|
" [2874568]]),\n",
|
|
" array([[2914489],\n",
|
|
" [2911358],\n",
|
|
" [2911347],\n",
|
|
" [2908501],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1789504],\n",
|
|
" [1789225],\n",
|
|
" [1741670],\n",
|
|
" [1546709]]),\n",
|
|
" array([[2926677],\n",
|
|
" [2926022]]),\n",
|
|
" array([[2931877],\n",
|
|
" [2931855],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2809673],\n",
|
|
" [2756417],\n",
|
|
" [2742803],\n",
|
|
" [2742218]]),\n",
|
|
" array([[2928105],\n",
|
|
" [2816102],\n",
|
|
" [2813987],\n",
|
|
" [2813958],\n",
|
|
" [2813895],\n",
|
|
" [2813794]]),\n",
|
|
" array([[2931792]]),\n",
|
|
" array([[2931478],\n",
|
|
" [2875107],\n",
|
|
" [2874994],\n",
|
|
" [2394111],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2012674],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [1260186],\n",
|
|
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|
|
" [1224225],\n",
|
|
" [1223184],\n",
|
|
" [1220818],\n",
|
|
" [1219943]]),\n",
|
|
" array([[2911074]]),\n",
|
|
" array([[2931881],\n",
|
|
" [2931774],\n",
|
|
" [2805206],\n",
|
|
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|
|
" [2771695],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2768886],\n",
|
|
" [2768561],\n",
|
|
" [2764660]]),\n",
|
|
" array([[2931881],\n",
|
|
" [2931367],\n",
|
|
" [2920121],\n",
|
|
" [2675630]]),\n",
|
|
" array([[2931682],\n",
|
|
" [2931604],\n",
|
|
" [2836479]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2931322],\n",
|
|
" [2931307],\n",
|
|
" [2931228],\n",
|
|
" [2912427],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2752615],\n",
|
|
" [2741769],\n",
|
|
" [2741757],\n",
|
|
" [2739976]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2929056],\n",
|
|
" [2929032],\n",
|
|
" [2928956],\n",
|
|
" [2928172],\n",
|
|
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|
|
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|
|
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|
|
" [2920026],\n",
|
|
" [2782219],\n",
|
|
" [2782180],\n",
|
|
" [2781192],\n",
|
|
" [2772165],\n",
|
|
" [2771686]]),\n",
|
|
" array([[2931862],\n",
|
|
" [2928270],\n",
|
|
" [2928238],\n",
|
|
" [2928220],\n",
|
|
" [2921725],\n",
|
|
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|
|
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|
|
" [2821277],\n",
|
|
" [2821206],\n",
|
|
" [2821169],\n",
|
|
" [2539131],\n",
|
|
" [2538210],\n",
|
|
" [2538021]]),\n",
|
|
" array([[2931836],\n",
|
|
" [2928646],\n",
|
|
" [2923266],\n",
|
|
" [2870953],\n",
|
|
" [2870941],\n",
|
|
" [2870604],\n",
|
|
" [2870570],\n",
|
|
" [2869473],\n",
|
|
" [2869347],\n",
|
|
" [2866853]]),\n",
|
|
" array([[2929887]]),\n",
|
|
" array([[2931881],\n",
|
|
" [2931862],\n",
|
|
" [2923128],\n",
|
|
" [2921131],\n",
|
|
" [2920566],\n",
|
|
" [2914195],\n",
|
|
" [2913937]]),\n",
|
|
" array([[2931862],\n",
|
|
" [2843301],\n",
|
|
" [2843196],\n",
|
|
" [2842433],\n",
|
|
" [2840651],\n",
|
|
" [2840380],\n",
|
|
" [2840278],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2422986],\n",
|
|
" [2421634],\n",
|
|
" [2421600],\n",
|
|
" [2418520],\n",
|
|
" [2405907],\n",
|
|
" [2404809]]),\n",
|
|
" array([[2931542],\n",
|
|
" [2929376],\n",
|
|
" [2566849],\n",
|
|
" [2565084],\n",
|
|
" [2448402],\n",
|
|
" [2447972],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2343413],\n",
|
|
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|
|
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|
|
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|
|
" [2336263],\n",
|
|
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|
|
" [2326737],\n",
|
|
" [2326551],\n",
|
|
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|
|
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|
|
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|
|
" [2302092],\n",
|
|
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|
|
" [2226896],\n",
|
|
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|
|
" [2218771],\n",
|
|
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|
|
" [2206567],\n",
|
|
" [2206443],\n",
|
|
" [2206038],\n",
|
|
" [2204410],\n",
|
|
" [2204388],\n",
|
|
" [1424048],\n",
|
|
" [1423938],\n",
|
|
" [1393248],\n",
|
|
" [1294874],\n",
|
|
" [1273114],\n",
|
|
" [1273085],\n",
|
|
" [1264768],\n",
|
|
" [1264755],\n",
|
|
" [1236363],\n",
|
|
" [1232745],\n",
|
|
" [1229515],\n",
|
|
" [1228623],\n",
|
|
" [1228176],\n",
|
|
" [1225552],\n",
|
|
" [1223168],\n",
|
|
" [1222987],\n",
|
|
" [1222341],\n",
|
|
" [ 723539]]),\n",
|
|
" array([[2931542],\n",
|
|
" [2928942],\n",
|
|
" [2928847],\n",
|
|
" [2799726],\n",
|
|
" [2799555]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2880367]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2919102],\n",
|
|
" [2919092],\n",
|
|
" [2918968],\n",
|
|
" [2918948],\n",
|
|
" [2918460],\n",
|
|
" [2912296],\n",
|
|
" [2910904],\n",
|
|
" [2910046],\n",
|
|
" [2835019],\n",
|
|
" [2834552],\n",
|
|
" [2834508],\n",
|
|
" [2819526],\n",
|
|
" [2816716],\n",
|
|
" [2816481],\n",
|
|
" [2811422],\n",
|
|
" [2490867],\n",
|
|
" [2489619],\n",
|
|
" [2478710],\n",
|
|
" [2477196],\n",
|
|
" [2476980],\n",
|
|
" [2429691],\n",
|
|
" [1618440],\n",
|
|
" [1617744],\n",
|
|
" [1589398],\n",
|
|
" [1588838],\n",
|
|
" [1558664]]),\n",
|
|
" array([[2931299],\n",
|
|
" [2930502],\n",
|
|
" [2915982],\n",
|
|
" [2915953],\n",
|
|
" [2915850],\n",
|
|
" [2679383],\n",
|
|
" [2678846],\n",
|
|
" [2298521],\n",
|
|
" [2295997],\n",
|
|
" [2295695],\n",
|
|
" [2287545],\n",
|
|
" [2270608],\n",
|
|
" [2263857]]),\n",
|
|
" array([[2923326],\n",
|
|
" [2923246],\n",
|
|
" [2919646],\n",
|
|
" [2919478],\n",
|
|
" [2915451],\n",
|
|
" [2908476],\n",
|
|
" [2907978],\n",
|
|
" [2907470],\n",
|
|
" [2905666],\n",
|
|
" [2817054],\n",
|
|
" [2815353],\n",
|
|
" [2813590],\n",
|
|
" [2813534],\n",
|
|
" [2812667],\n",
|
|
" [2812635],\n",
|
|
" [2566325],\n",
|
|
" [2565099],\n",
|
|
" [2564882],\n",
|
|
" [2564636],\n",
|
|
" [2549933],\n",
|
|
" [2549875],\n",
|
|
" [2549517]]),\n",
|
|
" array([[2931798],\n",
|
|
" [2822502],\n",
|
|
" [2822437],\n",
|
|
" [2821287],\n",
|
|
" [2814885],\n",
|
|
" [2814698],\n",
|
|
" [2443805],\n",
|
|
" [2163177],\n",
|
|
" [2160146],\n",
|
|
" [2156289],\n",
|
|
" [1785713],\n",
|
|
" [1785652],\n",
|
|
" [1774088]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2931648],\n",
|
|
" [2931073],\n",
|
|
" [2930082],\n",
|
|
" [2908494],\n",
|
|
" [2908407],\n",
|
|
" [2908161],\n",
|
|
" [2892318],\n",
|
|
" [2892157],\n",
|
|
" [2891591],\n",
|
|
" [2891577],\n",
|
|
" [2891562],\n",
|
|
" [2891407],\n",
|
|
" [2885302]]),\n",
|
|
" array([[2931881],\n",
|
|
" [2931774],\n",
|
|
" [2847870],\n",
|
|
" [2845641],\n",
|
|
" [2844245],\n",
|
|
" [2843026],\n",
|
|
" [2735465],\n",
|
|
" [2735448],\n",
|
|
" [2732340],\n",
|
|
" [2732146],\n",
|
|
" [2731495],\n",
|
|
" [2653792],\n",
|
|
" [2649937],\n",
|
|
" [2649479],\n",
|
|
" [2649083],\n",
|
|
" [2644276],\n",
|
|
" [2491056],\n",
|
|
" [2491027],\n",
|
|
" [2490733],\n",
|
|
" [2490602],\n",
|
|
" [2490302]]),\n",
|
|
" array([[2931862],\n",
|
|
" [2931600],\n",
|
|
" [2929410],\n",
|
|
" [2929389],\n",
|
|
" [2900881],\n",
|
|
" [2900855],\n",
|
|
" [2680423],\n",
|
|
" [2674542],\n",
|
|
" [2606981],\n",
|
|
" [2579323],\n",
|
|
" [2578769],\n",
|
|
" [2578079],\n",
|
|
" [2576978]]),\n",
|
|
" array([[2931542],\n",
|
|
" [2924039],\n",
|
|
" [2921694],\n",
|
|
" [2662786],\n",
|
|
" [2661249],\n",
|
|
" [2660223]]),\n",
|
|
" array([[2931299],\n",
|
|
" [2927832],\n",
|
|
" [2427260],\n",
|
|
" [2426501],\n",
|
|
" [2426426],\n",
|
|
" [2425534],\n",
|
|
" [2425486],\n",
|
|
" [2421708],\n",
|
|
" [2421072],\n",
|
|
" [2417392],\n",
|
|
" [2413711],\n",
|
|
" [2314366],\n",
|
|
" [2314234],\n",
|
|
" [2269913],\n",
|
|
" [2269466],\n",
|
|
" [2269390],\n",
|
|
" [2249580],\n",
|
|
" [2248926],\n",
|
|
" [2245986],\n",
|
|
" [2245495],\n",
|
|
" [2240403],\n",
|
|
" [2239925],\n",
|
|
" [2239868],\n",
|
|
" [2239850],\n",
|
|
" [2221663]]),\n",
|
|
" array([[2931862],\n",
|
|
" [2930437],\n",
|
|
" [2929720],\n",
|
|
" [2929059],\n",
|
|
" [2929049],\n",
|
|
" [2928757],\n",
|
|
" [2927422],\n",
|
|
" [2918276],\n",
|
|
" [2912117],\n",
|
|
" [2749358],\n",
|
|
" [2748904],\n",
|
|
" [2748692]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2929205],\n",
|
|
" [2924443],\n",
|
|
" [2863791],\n",
|
|
" [2863324],\n",
|
|
" [2863269],\n",
|
|
" [2847275],\n",
|
|
" [2846631],\n",
|
|
" [2846061],\n",
|
|
" [2845136],\n",
|
|
" [2845098],\n",
|
|
" [2840580],\n",
|
|
" [2831053],\n",
|
|
" [2813880],\n",
|
|
" [2810896],\n",
|
|
" [2810881],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2783798],\n",
|
|
" [2781652],\n",
|
|
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|
|
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|
|
" [2776484],\n",
|
|
" [2776449],\n",
|
|
" [2776282],\n",
|
|
" [2773019],\n",
|
|
" [2771979]]),\n",
|
|
" array([[2931910],\n",
|
|
" [2930156],\n",
|
|
" [2906732],\n",
|
|
" [2455448],\n",
|
|
" [2449038],\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" [2378732],\n",
|
|
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|
|
" [2340989],\n",
|
|
" [2331304],\n",
|
|
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|
|
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|
|
" [2324165],\n",
|
|
" [2322794],\n",
|
|
" [2321663],\n",
|
|
" [2321065],\n",
|
|
" [2254210],\n",
|
|
" [2254161],\n",
|
|
" [2253611],\n",
|
|
" [2253268],\n",
|
|
" [2251694],\n",
|
|
" [2251034],\n",
|
|
" [1968643],\n",
|
|
" [1968329],\n",
|
|
" [1967859],\n",
|
|
" [1967782],\n",
|
|
" [1967754],\n",
|
|
" [1967716],\n",
|
|
" [1966306],\n",
|
|
" [1958188],\n",
|
|
" [1923442]]),\n",
|
|
" array([[2931918],\n",
|
|
" [2921577],\n",
|
|
" [2919711],\n",
|
|
" [2919320],\n",
|
|
" [2742647],\n",
|
|
" [2742042]]),\n",
|
|
" array([[2923326],\n",
|
|
" [2894155],\n",
|
|
" [2893897],\n",
|
|
" [2893854],\n",
|
|
" [2879154],\n",
|
|
" [2267210]]),\n",
|
|
" array([[2923326],\n",
|
|
" [2923222],\n",
|
|
" [2920054],\n",
|
|
" [2919409],\n",
|
|
" [2919397],\n",
|
|
" [2918712],\n",
|
|
" [2913216],\n",
|
|
" [2912771],\n",
|
|
" [2888905],\n",
|
|
" [2888595],\n",
|
|
" [2887914],\n",
|
|
" [2887902],\n",
|
|
" [2887056],\n",
|
|
" [2780136],\n",
|
|
" [2780113],\n",
|
|
" [2779535],\n",
|
|
" [2524821],\n",
|
|
" [2519473],\n",
|
|
" [2484193],\n",
|
|
" [2484168],\n",
|
|
" [2483831],\n",
|
|
" [2482183],\n",
|
|
" [2416777],\n",
|
|
" [2397779],\n",
|
|
" [2396324],\n",
|
|
" [2396099],\n",
|
|
" [2361403],\n",
|
|
" [2361158],\n",
|
|
" [2360910],\n",
|
|
" [2358084],\n",
|
|
" [2357561]]),\n",
|
|
" array([[2911074]]),\n",
|
|
" array([[2931498],\n",
|
|
" [2931153],\n",
|
|
" [2892946],\n",
|
|
" [2856936],\n",
|
|
" [2856925],\n",
|
|
" [2856860],\n",
|
|
" [2856773],\n",
|
|
" [2840994],\n",
|
|
" [2834955],\n",
|
|
" [2779966],\n",
|
|
" [2778688],\n",
|
|
" [2778561],\n",
|
|
" [2774893],\n",
|
|
" [2757273],\n",
|
|
" [2749685],\n",
|
|
" [2745693],\n",
|
|
" [2658290],\n",
|
|
" [2657069],\n",
|
|
" [2656849],\n",
|
|
" [2656563],\n",
|
|
" [2656461],\n",
|
|
" [2656435],\n",
|
|
" [2655509],\n",
|
|
" [2652167],\n",
|
|
" [2652143],\n",
|
|
" [2652030],\n",
|
|
" [2605591],\n",
|
|
" [2594802],\n",
|
|
" [2594466],\n",
|
|
" [2593835],\n",
|
|
" [2543280]]),\n",
|
|
" array([[2931647],\n",
|
|
" [2931532],\n",
|
|
" [2931307],\n",
|
|
" [2931002],\n",
|
|
" [2930979],\n",
|
|
" [2929329]]),\n",
|
|
" array([[2931387],\n",
|
|
" [2931165],\n",
|
|
" [2920355],\n",
|
|
" [2920318],\n",
|
|
" [2919960],\n",
|
|
" [2917937],\n",
|
|
" [2917906],\n",
|
|
" [2917860],\n",
|
|
" [2917708],\n",
|
|
" [2850832],\n",
|
|
" [2850436]]),\n",
|
|
" array([[2887514],\n",
|
|
" [2887295],\n",
|
|
" [2883398],\n",
|
|
" [2881267],\n",
|
|
" [2759962],\n",
|
|
" [2740569],\n",
|
|
" [2740523],\n",
|
|
" [2736277],\n",
|
|
" [2732251],\n",
|
|
" [2731900],\n",
|
|
" [2731881],\n",
|
|
" [2731172],\n",
|
|
" [2730783],\n",
|
|
" [2730507],\n",
|
|
" [2730494],\n",
|
|
" [2729915]]),\n",
|
|
" array([[2931894],\n",
|
|
" [2931867],\n",
|
|
" [2931855],\n",
|
|
" [2931742],\n",
|
|
" [2931426],\n",
|
|
" [2681763],\n",
|
|
" [2674259]]),\n",
|
|
" array([[2931860]]),\n",
|
|
" array([[2931482],\n",
|
|
" [2931299],\n",
|
|
" [2925306],\n",
|
|
" [2912644],\n",
|
|
" [2886574],\n",
|
|
" [2449768],\n",
|
|
" [2447842],\n",
|
|
" [2438580],\n",
|
|
" [2438559],\n",
|
|
" [2436533],\n",
|
|
" [2436399],\n",
|
|
" [2436166],\n",
|
|
" [2424272],\n",
|
|
" [2415354],\n",
|
|
" [2414812],\n",
|
|
" [2413590],\n",
|
|
" [2401565],\n",
|
|
" [2401519],\n",
|
|
" [2172244],\n",
|
|
" [2098642],\n",
|
|
" [2098593],\n",
|
|
" [2090727],\n",
|
|
" [2090714],\n",
|
|
" [2090540],\n",
|
|
" [2090516],\n",
|
|
" [2090499],\n",
|
|
" [2089634],\n",
|
|
" [2089607],\n",
|
|
" [2089592],\n",
|
|
" [2089450],\n",
|
|
" [2089437],\n",
|
|
" [2088907],\n",
|
|
" [2088315],\n",
|
|
" [2088245],\n",
|
|
" [2088071],\n",
|
|
" [2087572],\n",
|
|
" [2087526],\n",
|
|
" [2039466],\n",
|
|
" [2039441],\n",
|
|
" [2039408],\n",
|
|
" [2039251],\n",
|
|
" [2038750],\n",
|
|
" [2006084],\n",
|
|
" [2006061],\n",
|
|
" [2005517],\n",
|
|
" [2005478],\n",
|
|
" [2005299],\n",
|
|
" [2004312],\n",
|
|
" [1999154],\n",
|
|
" [1997372],\n",
|
|
" [1995706],\n",
|
|
" [1995332],\n",
|
|
" [1994391],\n",
|
|
" [1994359],\n",
|
|
" [1993945],\n",
|
|
" [1826632],\n",
|
|
" [1826292],\n",
|
|
" [1825599]]),\n",
|
|
" array([[2928689],\n",
|
|
" [2917297]]),\n",
|
|
" array([[2614606],\n",
|
|
" [2614163],\n",
|
|
" [2614043],\n",
|
|
" [2614025],\n",
|
|
" [2613465],\n",
|
|
" [2542737],\n",
|
|
" [2541387],\n",
|
|
" [2540629],\n",
|
|
" [2479078],\n",
|
|
" [2478985],\n",
|
|
" [2478905],\n",
|
|
" [2426639],\n",
|
|
" [2425490],\n",
|
|
" [2414454],\n",
|
|
" [2413741],\n",
|
|
" [2413524],\n",
|
|
" [2413500],\n",
|
|
" [2413270],\n",
|
|
" [2413109],\n",
|
|
" [2378613],\n",
|
|
" [2378586],\n",
|
|
" [2369430],\n",
|
|
" [2354590],\n",
|
|
" [2354354],\n",
|
|
" [2352676],\n",
|
|
" [2352648],\n",
|
|
" [2352070],\n",
|
|
" [2346419],\n",
|
|
" [2345775],\n",
|
|
" [2345000],\n",
|
|
" [2344923],\n",
|
|
" [2344655],\n",
|
|
" [2331516],\n",
|
|
" [2330740],\n",
|
|
" [2328511],\n",
|
|
" [2316995]]),\n",
|
|
" array([[2614606],\n",
|
|
" [2614078],\n",
|
|
" [2612761],\n",
|
|
" [2612717],\n",
|
|
" [2611317],\n",
|
|
" [2605922],\n",
|
|
" [2582823],\n",
|
|
" [2582719],\n",
|
|
" [2579150],\n",
|
|
" [2564570],\n",
|
|
" [2564107],\n",
|
|
" [2525721],\n",
|
|
" [2525208],\n",
|
|
" [2521937],\n",
|
|
" [2461430],\n",
|
|
" [2453658],\n",
|
|
" [2445272],\n",
|
|
" [2445199],\n",
|
|
" [2445032],\n",
|
|
" [2442471],\n",
|
|
" [2442222],\n",
|
|
" [2442093],\n",
|
|
" [2413793],\n",
|
|
" [2412616],\n",
|
|
" [2412472],\n",
|
|
" [1761491],\n",
|
|
" [1761474],\n",
|
|
" [1692283],\n",
|
|
" [1692180],\n",
|
|
" [1681464],\n",
|
|
" [1638227],\n",
|
|
" [1638209],\n",
|
|
" [1624023],\n",
|
|
" [1600047],\n",
|
|
" [1600031],\n",
|
|
" [1599936],\n",
|
|
" [1570197],\n",
|
|
" [1568622],\n",
|
|
" [1487742],\n",
|
|
" [1430414],\n",
|
|
" [1424148]]),\n",
|
|
" array([[2927760],\n",
|
|
" [2920330],\n",
|
|
" [2526623],\n",
|
|
" [2523678],\n",
|
|
" [2523592],\n",
|
|
" [2523151],\n",
|
|
" [2522561],\n",
|
|
" [2517201]]),\n",
|
|
" array([[2924865],\n",
|
|
" [2924845],\n",
|
|
" [2923746]]),\n",
|
|
" array([[2925275],\n",
|
|
" [2923819],\n",
|
|
" [2923638],\n",
|
|
" [2913143],\n",
|
|
" [2913079],\n",
|
|
" [2667129],\n",
|
|
" [2662478],\n",
|
|
" [2606266],\n",
|
|
" [2539318],\n",
|
|
" [2538812],\n",
|
|
" [2531373],\n",
|
|
" [2530903],\n",
|
|
" [2529353],\n",
|
|
" [2421825],\n",
|
|
" [2421776],\n",
|
|
" [2421765],\n",
|
|
" [2419901],\n",
|
|
" [2419869],\n",
|
|
" [2352153],\n",
|
|
" [2351977],\n",
|
|
" [2351919],\n",
|
|
" [2351575],\n",
|
|
" [2351513],\n",
|
|
" [2152954],\n",
|
|
" [2151548],\n",
|
|
" [2151282],\n",
|
|
" [2149047],\n",
|
|
" [2146624],\n",
|
|
" [2144886],\n",
|
|
" [2144582],\n",
|
|
" [1867849],\n",
|
|
" [1866688],\n",
|
|
" [1859801],\n",
|
|
" [1856267],\n",
|
|
" [1856145],\n",
|
|
" [1856012],\n",
|
|
" [1855498],\n",
|
|
" [1855482],\n",
|
|
" [1855008],\n",
|
|
" [1829329],\n",
|
|
" [1545343],\n",
|
|
" [1406018],\n",
|
|
" [1262227],\n",
|
|
" [1261995],\n",
|
|
" [1261857],\n",
|
|
" [1261718],\n",
|
|
" [1242341],\n",
|
|
" [1230993],\n",
|
|
" [1230978],\n",
|
|
" [1228281],\n",
|
|
" [1222639],\n",
|
|
" [1222162],\n",
|
|
" [1221003],\n",
|
|
" [1220685],\n",
|
|
" [1220630],\n",
|
|
" [ 559969],\n",
|
|
" [ 501054]]),\n",
|
|
" array([[2930653],\n",
|
|
" [2929408],\n",
|
|
" [2929396],\n",
|
|
" [2926655],\n",
|
|
" [2926281],\n",
|
|
" [2920350],\n",
|
|
" [2920203],\n",
|
|
" [2919664],\n",
|
|
" [2917577],\n",
|
|
" [2860069],\n",
|
|
" [2860050],\n",
|
|
" [2852060],\n",
|
|
" [2851595],\n",
|
|
" [2850993],\n",
|
|
" [2828010],\n",
|
|
" [2827279]]),\n",
|
|
" array([[2931883],\n",
|
|
" [2928967],\n",
|
|
" [2928625],\n",
|
|
" [2928591],\n",
|
|
" [2928203],\n",
|
|
" [2926963]]),\n",
|
|
" array([[2858011],\n",
|
|
" [2852695],\n",
|
|
" [2851000],\n",
|
|
" [2849809],\n",
|
|
" [2448219],\n",
|
|
" [2434083],\n",
|
|
" [2434062],\n",
|
|
" [2433892]]),\n",
|
|
" array([[2927760],\n",
|
|
" [2927675],\n",
|
|
" [2927050],\n",
|
|
" [2926705],\n",
|
|
" [2926069],\n",
|
|
" [2924896]]),\n",
|
|
" array([[2918480],\n",
|
|
" [2916833],\n",
|
|
" [2916079],\n",
|
|
" [2907284],\n",
|
|
" [2907234],\n",
|
|
" [2906261],\n",
|
|
" [2906106],\n",
|
|
" [2906077],\n",
|
|
" [2904462],\n",
|
|
" [2904046]]),\n",
|
|
" array([[2931650],\n",
|
|
" [2931482],\n",
|
|
" [2930640],\n",
|
|
" [2908682],\n",
|
|
" [2906992],\n",
|
|
" [2879584],\n",
|
|
" [2725163],\n",
|
|
" [2724382],\n",
|
|
" [2724311],\n",
|
|
" [2723182],\n",
|
|
" [2721795],\n",
|
|
" [2720735],\n",
|
|
" [2715464],\n",
|
|
" [2715419],\n",
|
|
" [2715257],\n",
|
|
" [2714758],\n",
|
|
" [2714369],\n",
|
|
" [2713818],\n",
|
|
" [2713273],\n",
|
|
" [2713228],\n",
|
|
" [2712878],\n",
|
|
" [2712537],\n",
|
|
" [2712476],\n",
|
|
" [2712384],\n",
|
|
" [2711668],\n",
|
|
" [2701578],\n",
|
|
" [2701360],\n",
|
|
" [2700949],\n",
|
|
" [2700821],\n",
|
|
" [2700184],\n",
|
|
" [2700131],\n",
|
|
" [2698030],\n",
|
|
" [2416341],\n",
|
|
" [2206443],\n",
|
|
" [2206364],\n",
|
|
" [2206349],\n",
|
|
" [2206245],\n",
|
|
" [2200535],\n",
|
|
" [2068527],\n",
|
|
" [2068268],\n",
|
|
" [2062995],\n",
|
|
" [2061391],\n",
|
|
" [2060601],\n",
|
|
" [2056620],\n",
|
|
" [2056410],\n",
|
|
" [2056389],\n",
|
|
" [2056210],\n",
|
|
" [2056141],\n",
|
|
" [2055935],\n",
|
|
" [2055925],\n",
|
|
" [2055794],\n",
|
|
" [2054165],\n",
|
|
" [1441677],\n",
|
|
" [1429157],\n",
|
|
" [1317755],\n",
|
|
" [ 62467],\n",
|
|
" [ 62365]]),\n",
|
|
" array([[2931253],\n",
|
|
" [2929480]]),\n",
|
|
" array([[2931916],\n",
|
|
" [2931758],\n",
|
|
" [2845524],\n",
|
|
" [2845040]]),\n",
|
|
" array([[2923709],\n",
|
|
" [2922131],\n",
|
|
" [2921592],\n",
|
|
" [2920513]]),\n",
|
|
" array([[2931860]]),\n",
|
|
" array([[2931883],\n",
|
|
" [2931712],\n",
|
|
" [2931499],\n",
|
|
" [2929989],\n",
|
|
" [2929978],\n",
|
|
" [2929955],\n",
|
|
" [2929934],\n",
|
|
" [2927336],\n",
|
|
" [2926948],\n",
|
|
" [2926518]]),\n",
|
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},
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"metadata": {},
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"output_type": "display_data"
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}
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|
],
|
|
"source": [
|
|
"from gtda.plotting import plot_diagram\n",
|
|
"\n",
|
|
"i = 0\n",
|
|
"diagram = pds[37]\n",
|
|
"#plt.title(\"path persistence\")\n",
|
|
"plot_diagram(diagram, plotly_params={'layout':{'title':\"Path Persistence\"}})\n",
|
|
"#plt.savefig(\"fig1.png\")"
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|
]
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},
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{
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"cell_type": "code",
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"execution_count": 50,
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"metadata": {},
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"outputs": [],
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"source": [
|
|
"plot_diagram?"
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]
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},
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{
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"cell_type": "code",
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" ...]"
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]
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},
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"execution_count": 85,
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|
"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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|
"vals = []\n",
|
|
"for i in mpaths:\n",
|
|
" for j in i:\n",
|
|
" vals.append(j[-1][-1].outputs[j[-1][-2]]['amount'])\n",
|
|
"vals"
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|
]
|
|
},
|
|
{
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"cell_type": "code",
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|
"execution_count": 89,
|
|
"id": "914889c7",
|
|
"metadata": {},
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"outputs": [
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|
{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.hist(vals, bins=25)\n",
|
|
"plt.xlabel(\"Hops to Coinbase\");\n",
|
|
"plt.title(\"3300 Path to Coinbase Values from Block 2931928\")\n",
|
|
"plt.savefig('valscoinbase.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 91,
|
|
"id": "e9f840a4",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[2879105,\n",
|
|
" 1228129,\n",
|
|
" 2924857,\n",
|
|
" 2758243,\n",
|
|
" 2574522,\n",
|
|
" 2792739,\n",
|
|
" 1263944,\n",
|
|
" 2931794,\n",
|
|
" 2848955,\n",
|
|
" 2803506,\n",
|
|
" 2855844,\n",
|
|
" 2925385,\n",
|
|
" 2749920,\n",
|
|
" 1929831,\n",
|
|
" 2789842,\n",
|
|
" 2830718,\n",
|
|
" 1270963,\n",
|
|
" 2879840,\n",
|
|
" 2869210,\n",
|
|
" 2842411,\n",
|
|
" 115979,\n",
|
|
" 2751661,\n",
|
|
" 2090319,\n",
|
|
" 2811259,\n",
|
|
" 2869905,\n",
|
|
" 2893608,\n",
|
|
" 2912445,\n",
|
|
" 2908921,\n",
|
|
" 1942730,\n",
|
|
" 2873038,\n",
|
|
" 2770450,\n",
|
|
" 2731484,\n",
|
|
" 2924666,\n",
|
|
" 1846592,\n",
|
|
" 2888851,\n",
|
|
" 2789664,\n",
|
|
" 2530047,\n",
|
|
" 2236704,\n",
|
|
" 2843629,\n",
|
|
" 2632509,\n",
|
|
" 2900176,\n",
|
|
" 1722294,\n",
|
|
" 2928640,\n",
|
|
" 2924666,\n",
|
|
" 2774916,\n",
|
|
" 2610201,\n",
|
|
" 2723747,\n",
|
|
" 2050168,\n",
|
|
" 1685379,\n",
|
|
" 1859463,\n",
|
|
" 2520816,\n",
|
|
" 2924666,\n",
|
|
" 2893604,\n",
|
|
" 2677127,\n",
|
|
" 1490777,\n",
|
|
" 1903921,\n",
|
|
" 2826881,\n",
|
|
" 2896182,\n",
|
|
" 2799490,\n",
|
|
" 2870206,\n",
|
|
" 2926755,\n",
|
|
" 2638235,\n",
|
|
" 2890367,\n",
|
|
" 1909520,\n",
|
|
" 2761303,\n",
|
|
" 2751220,\n",
|
|
" 2889759,\n",
|
|
" 2785575,\n",
|
|
" 2880367,\n",
|
|
" 2801535,\n",
|
|
" 2890979,\n",
|
|
" 2930769,\n",
|
|
" 1367564,\n",
|
|
" 1766035,\n",
|
|
" 2930700,\n",
|
|
" 2669513,\n",
|
|
" 1957701,\n",
|
|
" 2601980,\n",
|
|
" 2888925,\n",
|
|
" 2693521,\n",
|
|
" 2507991,\n",
|
|
" 2825757,\n",
|
|
" 2892159,\n",
|
|
" 2682383,\n",
|
|
" 2917945,\n",
|
|
" 2885677,\n",
|
|
" 2760843,\n",
|
|
" 2915692,\n",
|
|
" 2728014,\n",
|
|
" 2930103,\n",
|
|
" 2904279,\n",
|
|
" 2827961,\n",
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