{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c043ea4c", "metadata": {}, "outputs": [], "source": [ "from MoneroAna import *" ] }, { "cell_type": "code", "execution_count": 2, "id": "58ec000c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "100\n", "200\n", "300\n", "400\n", "500\n", "600\n", "700\n", "800\n", "900\n", "1000\n", "1100\n", "1200\n", "1300\n", "1400\n", "1500\n", "1600\n", "1700\n", "1800\n", "1900\n", "2000\n", "2100\n", "2200\n", "2300\n", "2400\n", "2500\n", "2600\n", "2700\n", "2800\n", "2900\n", "3000\n", "3100\n", "3200\n", "3300\n", "3400\n", "3500\n", "3600\n", "3700\n", "3800\n", "3900\n", "4000\n", "4100\n", "4200\n", "4300\n", "4400\n", "4500\n", "4600\n", "4700\n", "4800\n", "4900\n", "CPU times: user 6min 56s, sys: 39.1 s, total: 7min 35s\n", "Wall time: 12min 20s\n" ] } ], "source": [ "%%time\n", "registry = {}\n", "minheight = 2927000\n", "maxheight = 2932000\n", "bchain = [block(i) for i in range(2927000, 2932000)]\n", "for j,i in enumerate(bchain):\n", " if j%100==0:\n", " print(j)\n", " i.get_txs(registry=registry)" ] }, { "cell_type": "code", "execution_count": 3, "id": "c58be4ce", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "150948" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(registry)" ] }, { "cell_type": "code", "execution_count": 4, "id": "b8eb05a3", "metadata": {}, "outputs": [], "source": [ "#import pandas as pd\n", "df = pd.read_csv('overseer.txt', delim_whitespace=True, names = [i for i in range(10)])" ] }, { "cell_type": "code", "execution_count": 5, "id": "54d75d4c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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"55000\n", "60000\n", "65000\n", "70000\n", "75000\n", "80000\n", "85000\n", "90000\n", "95000\n", "100000\n", "105000\n", "110000\n", "115000\n", "120000\n", "125000\n", "130000\n", "135000\n", "140000\n", "145000\n", "150000\n", "CPU times: user 4.14 s, sys: 25.3 ms, total: 4.17 s\n", "Wall time: 4.17 s\n" ] } ], "source": [ "%%time\n", "cnt = 0\n", "for i,j in registry.items():\n", " if cnt%5000==0:\n", " print(cnt)\n", " cnt+=1\n", " if j.coinbase==True:\n", " continue\n", " for k in j.rings:\n", " for l in k.get_mixins(registry=registry, min_height=minheight, max_height=maxheight):\n", " continue #print(l)" ] }, { "cell_type": "code", "execution_count": 7, "id": "046b2362", "metadata": {}, "outputs": [], "source": [ "nsources = [len([registry[j].coinbase==False for j in i.sources]) for i in registry.values()]\n", "nsinks = [len([registry[j].coinbase==False for j in i.sinks]) for i in registry.values()]" ] }, { "cell_type": "code", "execution_count": 8, "id": "9aa9b74b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "119" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(registry['a45cc00801542ed1db0206cc9b0ddb0c5f7b99a9cb9940c295635e4b48825e14'].sources)" ] }, { "cell_type": "code", "execution_count": 13, "id": "4f28c9f9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(20.670131435991202, 20.670131435991202)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.mean(nsources), np.mean(nsinks)" ] }, { "cell_type": "code", "execution_count": 16, "id": "22856e41", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(64.08571478443594, 37.225930744631754)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.std(nsinks), np.std(nsources)" ] }, { "cell_type": "code", "execution_count": 10, "id": "51c5f819", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([1.48714e+05, 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4030.71428571, 4152.85714286, 4275. ]),\n", " )" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6 d7fe2c66925084abfa7afa4c620399fd4c374b386dc35d72713c441a21133a0b 0\n", "8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6 6b1ca86936d9a924380829a4fc48983413d4b769374b31c29227f982b6b78189 0\n", "8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6 ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317 0\n" ] } ], "source": [ "for i in df[4][:8]:\n", " for j in df[4][:8]:\n", " if i!=j:\n", " intersect = list_intersection(registry[i].sinks, registry[j].sinks)\n", " print(i,j,len(intersect))\n", " if len(intersect)>0:\n", " print(intersect)\n", " " ] }, { "cell_type": "code", "execution_count": 33, "id": "063bc44f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6',\n", " '8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6')" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "i,j" ] }, { "cell_type": "code", "execution_count": 32, "id": "d906783e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'017b2c9c078b84629c2b0585151e30aa3228318b88ca358a35843a856604a68d',\n", " '0538d20035911caa6cf7f09c8702eb4902484a6ec30db13b7991a1cab58e2aca',\n", " '1962fb884d4b1b738bed5b15ac94e328dc94757667d35d7d9770722d7c60efdd',\n", " '1c4d045f75e6a7e1529399962538e5c3ecd9274e6750e88689ea0ab2975fc54a',\n", " '1f697dd88c22280a41927f1b645968d18adb48326f6ce283652fbf785eca8197',\n", " '230f9c3d1f0bcbe5053c161cb4cd2984ebb3956a78c70a898618486996472813',\n", " '2343f013e8bfca37e59abb4f12c65079fef95933057af0e36006b3ae7c948c42',\n", " '240b18c4778c41ab6ce3443c71d7a8d624cf8023d12f85fd28b22c16db4d35fb',\n", " '2544a000756c576a605eb1eb03a4afdda3f163c56af56837e91e8c0a9e56f4c0',\n", " '3ab559d3bd270272d37d6614c7eb61a84e355a8b1d0045ff9c4bb8e96728afe8',\n", " '3d9ece294f63908a7498abd95ba24d7897212d4ed90e3f8b6ae19b1a175225d1',\n", " '44fe023c5ae3052b92ce977a2c677524ed9fb5775a739cfd8e214e94ba2fbed0',\n", " '473b5b2f151626ed2a4e7fd9d92d62dcd27061e69abd53cce8e7afea3a2801bc',\n", " '507c2d3dd8c6a87bbfea6e340547b47ca3decf9578f518ae4615ad417d002d70',\n", " '52d85c53cb87be6e892a754dde39db201ae95990fc4e6976444857fccea93d58',\n", " '5b22f791759358828175574ce45b2ee343baab7460ef61fa2324d60dc9bb3898',\n", " '5b991f53e4e2dffc5cbe57d6dc77433ab2569ae42184f75bce39953b4548f6ce',\n", " '66076f82aeb6d8c939b5f3646ad17c2fc47cd521ad8fcc0616849acd319fd38c',\n", " '6ae4fa8a446593e19204f3679f8d8e172d4002fddc9307f05f65b9821eaffeb2',\n", " '6b1ca86936d9a924380829a4fc48983413d4b769374b31c29227f982b6b78189',\n", " '6c77e44ba0d82092a8b1271ab0867c12e751cc9bf59b980603091949e96385d1',\n", " '70afd6a30eaa91a26e4b45c9d1f059b058bb6b6be75f2b8d07ffab76d4438f1e',\n", " '7419fc1d104dcb6fdf2e8bfc8b80301801643c6684651a6c8599c8380ee7bc3d',\n", " '754d81891b37d367dddcef9a324286196cb6675149c74ce9169f7ecb33b48221',\n", " '75fd4c7443ac9e39ee5ad9b2c90354098df5721520d32b49b671e31e0bead0e9',\n", " '7ed4b10ef5c97c22e33ef877d801ce235cb923cc21381c5c1903f88958295417',\n", " '80d2844c8a13ed7575d5bdc3a3932af5b040d5fdfb53d23eaed9c3c05467f543',\n", " '84414281cf25b144c30e35fbcc9b89c8ed7d64da64d0c0d74c5ade35430e4d7b',\n", " '89f10f227bb53a258a8ee3cdca56dc389894f6ce356a02aaeba7179634d64435',\n", " '8aef89aa214cad07e99e9da8bd0b1bfd607eecc199e9369dde2123952caa5b2c',\n", " '8c827b848a4bd07c55fe959e4f5389692d9e2625e87ec33a92a49be82c7666a1',\n", " '8cc014ed3930b0cb5fa659ced4f8435528f6a13659c529d6ee1d623d65b800a2',\n", " '942c6d17e48560dddd81349b471b7c4b33f35d296db61a4ea91a8c93bc460027',\n", " '98e2d87b6fb066fd32634f8938ab32a606d213b3c44017d8defde2ae8e800e5d',\n", " '9afe292912c8c73250778eb0cc40f0eafd012041e721d62307afd6cac99f7ec7',\n", " 'ad93580e33da8363e827214ed0642419bff58be51022c4406f30c0962a44bedf',\n", " 'b2957e606dbb60bad68804ebb48d226c74c38c1b5565b2cddfdaa35ca328494d',\n", " 'b426883da73d7e544a529796c5b4a94645a6ed991c7b77c34d0b2f233d63d3e5',\n", " 'b8cae2b1eecc194bb0f80e0567d0d9befbeb85c7c1bb9cc9d2c0b45a6bb7d30a',\n", " 'c00b72f94df6e14bc40a2808219c7e4ea360381658e3976a6ed1657468224455',\n", " 'c0174d5f6267731a8c41c76e24ad5b6a4dce8ab61e94f164cfe51b68e0a62655',\n", " 'cae637d5e61cf2b5e8d97aac3b05dac5564fb7a65a22a72f406a1c9d5c21b565',\n", " 'cc249f99b0f88417ecaa15ca62b888120f6e242518ba095899174217f110b985',\n", " 'd0be4b7800c7e3fdd9fb204a95ce02d9e569c0a166480b5b5c1b389d00696017',\n", " 'd26219a7b764caf778be45f38d8ff36c1dcd5fadfe69da98ea483437eca673e0',\n", " 'd7fe2c66925084abfa7afa4c620399fd4c374b386dc35d72713c441a21133a0b',\n", " 'dccf3a07906902fd238e0f77b10352b139e6ba73e0e3885b35b7905aee6590a9',\n", " 'e41df2f6fd13678fa75ca7b9b4e37c0237107911b78452b874557df0956740f0',\n", " 'ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317',\n", " 'eee01f36d6940d8e45c66c9e288e8a6fd6ccc17432b92b4ea5364833da6e063e',\n", " 'f4c0df3cfcd2f19dc5327e9985f091a88126d79b9bec9db4599914326ae0d8ef',\n", " 'f4e6ac06af8d09f13f5d6119b1190a635520f63d31d68a3d287cd7cd1471a153',\n", " 'f80bb0dd6765785e260b78f76049c72b4ec99d0585d28d1b6e47cac5e3cbdfba',\n", " 'f96c1110a30e7ffdce2d757f1afae584d4004e09d9ee3e7aaa8303770c9c556d',\n", " 'fc8144deae3fe30f786b6336914e5fb367d695ce3cfb330a2d10ff77e62a56e2'}" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list_intersection(registry[i].sinks, registry[j].sinks)" ] }, { "cell_type": "code", "execution_count": null, "id": "cbbde1d1", "metadata": {}, "outputs": [], "source": [ "[[i for i in df[4:8] if ] for j in df[4:8]]" ] }, { "cell_type": "code", "execution_count": 30, "id": "a98bb611", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2931928" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "registry['ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317'].block_height" ] }, { "cell_type": "code", "execution_count": 28, "id": "55fcf4a0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "d3d3545c833e5f636118bb7b61b8f46723e42a5d8f377202f2cf735eab40a624 2927466\n", "75c15ea40dc4d3c581087c7926f0d4b99d2f05600342009ebbfba6cb379e5ac5 2929755\n", "430a519a1430f18fc903e53d7934bc04384fc647b773a7751692305fceade13e 2930529\n", "13b3c237af4061aae8b756afd3ad03329fd1a03d672ad39dad9d8780994a101f 2931284\n", "e0763a4abd847bec6603a1c7fde91c2bb7df8d6154000496d0fef9fdd703ec52 2931399\n", "cbaf2d44a8d073153ca29fa23bfa784b69f896b7db57478015e67f5c07f328ac 2931423\n", "1eb7cb2bce2c80de53ca3209da3a62eae195985474a152f9eacffc47679b79d9 2931713\n", "1f335c4a2aebed436dab563740d9922e8bf77eb6f065e3ab786209bd11619e72 2931812\n", "488fc502f73ed51977695540c8a8f3c39a77fb02dd67447a5a746d7a8a6b6620 2931830\n", "9b1a163988f35e8efafd2394fcff57d2216f488ce4a9f7d4192432fc514310d2 2931856\n", "d3edbe231330936a03306115871ccf85c75f5d8263929433aec28120d40ea62b 2931881\n", "fb0c2c8158a01e2704653da72004482bcba76b5a4aa038dc3735cb67590c049e 2931907\n", "cc6656bdca56122a2b223a0f48e5438ecd065c887a1c55642589db416f59a53b 2931909\n", "b710c3122e8b7a7503aae03ca9d92b34decce3e180c30dcad83c9f0727d2b09a 2931913\n", "3e84234aa990efe2342b3b32cfc186299660c6e9c014b38e90962d5f82908e93 2931914\n" ] } ], "source": [ "for i in registry['ee45eddf5fb6bc97b5f9e7ab80ae64850cf78c462fdbb9ff63c050e1b47f7317'].sinks:\n", " print(i, registry[i].block_height)" ] }, { "cell_type": "code", "execution_count": 29, "id": "75ca00c3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['4e9b563c6cb0030d45893c62a8ec2e4260a9b1e6246f723bcabebbc9fc94c6de',\n", " '8126a96f50eac5fabcb0eb0d100c0e639564f689bb746c2b408632acfb5181b6',\n", " '0e425843057b023e6d9f8215f3398aea8518315f2ebc9da2b1b7c9fb18f3141f',\n", " '3451e7a4519a3e28874dab702773407e1bec2216c8d912341c0e92453760d385',\n", " 'fe2ac3ab2743d44703483fe02d1af480ec7609e29694e1925be2da81dbfa61a3',\n", " 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"execution_count": 25, "id": "122cfbd3", "metadata": {}, "outputs": [], "source": [ " \n", "class ring:\n", " def __init__(self, inputs, txo):\n", " self.mixins = [i['tx_hash'] for i in inputs['mixins']]\n", " self.block_no = [i['block_no'] for i in inputs['mixins']]\n", " self.public_key = [i['public_key'] for i in inputs['mixins']]\n", " self.youngest = self.block_no[-1]\n", " self.oldest = self.block_no[0]\n", " self.txo = txo\n", " self.block_height = txo.block_height\n", " self.key_image = inputs['key_image']\n", " self.sources = []\n", " self.sinks = []\n", " \n", " self.get_pers_diagram()\n", " #self.tx_hash = tx_hash\n", " #self.coinbase = self.dat['data']['coinbase']\n", " \n", " def get_mixins(self, registry={}, min_height = -1, max_height = -1):\n", " mixins = []\n", " for i,j in zip(self.block_no,self.mixins):\n", " #print(i,j)\n", " if i > max_height or i < min_height:\n", " continue\n", " else:\n", " #self.txo.sinks.append(j)\n", " if j in registry:\n", " registry[j].sources.append(self.txo.tx_hash)\n", " registry[self.txo.tx_hash].sinks.append(j)\n", " mixins.append(registry[j])\n", " else:\n", " registry[j] = tx(j, registry=registry)\n", " \n", " registry[j].sources.append(self.txo.tx_hash)\n", " registry[self.txo.tx_hash].sinks.append(j)\n", " mixins.append(registry[j])\n", " \n", " return mixins\n", " \n", " def get_distribution(self):\n", " n = len(self.mixins)\n", " self.probabilities = pymc.Categorical([1/n for i in range(n)])\n", " \n", " def get_pers_diagram(self):\n", " pc = np.array(self.block_no).reshape(-1,1)\n", " self.pers_diagram = VR.fit_transform([pc])[0]\n", " #self.pers_diagram[:,1] = np.log10(self.pers_diagram[:,1])\n", "\n", " def __str__(self):\n", " return str(self.mixins)\n", " \n", " def __iter__(self):\n", " for i,j in zip(self.block_no[::-1], self.mixins[::-1]):\n", " yield i, tx(j)\n", " \n", " def __lt__(self, other):\n", " return self.youngest > other.youngest" ] }, { "cell_type": "code", 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