mirror of
https://github.com/MPCStats/zk-stats-demo.git
synced 2026-01-06 20:33:56 -05:00
feat: no manually setting selected_columns
This commit is contained in:
mhchia
@@ -9,48 +9,45 @@
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"name": "stdout",
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"text": [
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"Requirement already satisfied: zkstats==0.1.5 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (0.1.5)\n",
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"Requirement already satisfied: click<9.0.0,>=8.1.7 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.5) (8.1.7)\n",
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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"Requirement already satisfied: zkstats==0.1.10 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (0.1.10)\n",
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"Requirement already satisfied: statistics<2.0.0,>=1.0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (1.0.3.5)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.10) (2024.8.30)\n",
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"Requirement already satisfied: docutils>=0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from statistics<2.0.0,>=1.0.3->zkstats==0.1.10) (0.21.2)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"source": [
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"%pip install zkstats==0.1.5"
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"%pip install zkstats==0.1.10"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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"version": "3.12.5"
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}
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},
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"nbformat": 4,
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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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"execution_count": 15,
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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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"Requirement already satisfied: torch in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (2.2.2)\n",
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"Requirement already satisfied: onnx<2.0.0,>=1.15.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.8) (1.16.0)\n",
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"Requirement already satisfied: requests<3.0.0,>=2.31.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.8) (2.31.0)\n",
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"Requirement already satisfied: scipy<2.0.0,>=1.11.4 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.8) (1.13.0)\n",
|
||||
"Requirement already satisfied: statistics<2.0.0,>=1.0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.8) (1.0.3.5)\n",
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||||
"Requirement already satisfied: filelock in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (3.13.4)\n",
|
||||
"Requirement already satisfied: typing-extensions>=4.8.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (4.11.0)\n",
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||||
"Requirement already satisfied: sympy in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (1.12)\n",
|
||||
"Requirement already satisfied: torch in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (2.2.0)\n",
|
||||
"Requirement already satisfied: zkstats==0.1.10 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (0.1.10)\n",
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"Requirement already satisfied: click<9.0.0,>=8.1.7 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (8.1.7)\n",
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||||
"Requirement already satisfied: ezkl==9.1.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (9.1.0)\n",
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||||
"Requirement already satisfied: matplotlib<4.0.0,>=3.8.2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (3.9.2)\n",
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||||
"Requirement already satisfied: numpy<2.0.0,>=1.26.2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (1.26.4)\n",
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"Requirement already satisfied: onnx<2.0.0,>=1.15.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (1.16.2)\n",
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||||
"Requirement already satisfied: requests<3.0.0,>=2.31.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (2.32.3)\n",
|
||||
"Requirement already satisfied: scipy<2.0.0,>=1.11.4 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (1.13.1)\n",
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||||
"Requirement already satisfied: statistics<2.0.0,>=1.0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from zkstats==0.1.10) (1.0.3.5)\n",
|
||||
"Requirement already satisfied: filelock in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (3.16.0)\n",
|
||||
"Requirement already satisfied: typing-extensions>=4.8.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (4.12.2)\n",
|
||||
"Requirement already satisfied: sympy in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (1.13.2)\n",
|
||||
"Requirement already satisfied: networkx in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (3.2.1)\n",
|
||||
"Requirement already satisfied: jinja2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (3.1.3)\n",
|
||||
"Requirement already satisfied: fsspec in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (2024.3.1)\n",
|
||||
"Requirement already satisfied: contourpy>=1.0.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (1.2.1)\n",
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||||
"Requirement already satisfied: cycler>=0.10 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (0.12.1)\n",
|
||||
"Requirement already satisfied: fonttools>=4.22.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (4.51.0)\n",
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||||
"Requirement already satisfied: kiwisolver>=1.3.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (1.4.5)\n",
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||||
"Requirement already satisfied: packaging>=20.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (24.0)\n",
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||||
"Requirement already satisfied: pillow>=8 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (10.3.0)\n",
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"Requirement already satisfied: pyparsing>=2.3.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (3.1.2)\n",
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||||
"Requirement already satisfied: python-dateutil>=2.7 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (2.9.0.post0)\n",
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||||
"Requirement already satisfied: protobuf>=3.20.2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from onnx<2.0.0,>=1.15.0->zkstats==0.1.8) (4.25.3)\n",
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||||
"Requirement already satisfied: charset-normalizer<4,>=2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.8) (3.3.2)\n",
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||||
"Requirement already satisfied: idna<4,>=2.5 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.8) (3.7)\n",
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||||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.8) (2.2.1)\n",
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||||
"Requirement already satisfied: certifi>=2017.4.17 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.8) (2024.2.2)\n",
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||||
"Requirement already satisfied: docutils>=0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from statistics<2.0.0,>=1.0.3->zkstats==0.1.8) (0.21.1)\n",
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||||
"Requirement already satisfied: jinja2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (3.1.4)\n",
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||||
"Requirement already satisfied: fsspec in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from torch) (2024.9.0)\n",
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||||
"Requirement already satisfied: contourpy>=1.0.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (1.3.0)\n",
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||||
"Requirement already satisfied: cycler>=0.10 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (0.12.1)\n",
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||||
"Requirement already satisfied: fonttools>=4.22.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (4.53.1)\n",
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||||
"Requirement already satisfied: kiwisolver>=1.3.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (1.4.7)\n",
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||||
"Requirement already satisfied: packaging>=20.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (24.1)\n",
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||||
"Requirement already satisfied: pillow>=8 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (10.4.0)\n",
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||||
"Requirement already satisfied: pyparsing>=2.3.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (3.1.4)\n",
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||||
"Requirement already satisfied: python-dateutil>=2.7 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (2.9.0.post0)\n",
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||||
"Requirement already satisfied: protobuf>=3.20.2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from onnx<2.0.0,>=1.15.0->zkstats==0.1.10) (5.28.1)\n",
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||||
"Requirement already satisfied: charset-normalizer<4,>=2 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.10) (3.3.2)\n",
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||||
"Requirement already satisfied: idna<4,>=2.5 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.10) (3.8)\n",
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||||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.10) (2.2.3)\n",
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||||
"Requirement already satisfied: certifi>=2017.4.17 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from requests<3.0.0,>=2.31.0->zkstats==0.1.10) (2024.8.30)\n",
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||||
"Requirement already satisfied: docutils>=0.3 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from statistics<2.0.0,>=1.0.3->zkstats==0.1.10) (0.21.2)\n",
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||||
"Requirement already satisfied: MarkupSafe>=2.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from jinja2->torch) (2.1.5)\n",
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||||
"Requirement already satisfied: mpmath>=0.19 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from sympy->torch) (1.3.0)\n",
|
||||
"Requirement already satisfied: six>=1.5 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib<4.0.0,>=3.8.2->zkstats==0.1.8) (1.16.0)\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1.1\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
|
||||
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from sympy->torch) (1.3.0)\n",
|
||||
"Requirement already satisfied: six>=1.5 in /Users/mhchia/Library/Caches/pypoetry/virtualenvs/zkstats-brXmXluj-py3.12/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib<4.0.0,>=3.8.2->zkstats==0.1.10) (1.16.0)\n",
|
||||
"Note: you may need to restart the kernel to use updated packages.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install torch zkstats==0.1.8"
|
||||
"%pip install torch zkstats==0.1.10"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 16,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import os\n",
|
||||
"from zkstats.core import (\n",
|
||||
" setup,\n",
|
||||
@@ -76,7 +72,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 17,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -92,17 +88,6 @@
|
||||
"User select the columns"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# FIXME: this should be provided by users\n",
|
||||
"# selected_columns = [\"x\", \"y\"]\n",
|
||||
"selected_columns = [\"x\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
@@ -112,10 +97,10 @@
|
||||
"A computation should be of type `TComputation`. For example, the following code snippet defines a computation that computes the sum of the private data.\n",
|
||||
"\n",
|
||||
"```python\n",
|
||||
"def computation(state: State, x: list[torch.Tensor]):\n",
|
||||
" out_0 = state.median(x[0])\n",
|
||||
" out_1 = state.median(x[1])\n",
|
||||
" return state.mean(torch.cat([out_0.unsqueeze(0), out_1.unsqueeze(0)]).reshape(-1,1))\n",
|
||||
"def computation(state: State, args: Args):\n",
|
||||
" x = args[\"x\"]\n",
|
||||
" y = args[\"y\"]\n",
|
||||
" return state.mean(x), state.mean(y)\n",
|
||||
"```\n",
|
||||
"\n",
|
||||
"FIXME: The following code snippet is entirely from the user. You MUST check\n",
|
||||
@@ -125,7 +110,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -135,7 +120,8 @@
|
||||
"\n",
|
||||
"def computation(state: State, args: Args):\n",
|
||||
" x = args[\"x\"]\n",
|
||||
" return state.mean(x), state.median(x)"
|
||||
" y = args[\"y\"]\n",
|
||||
" return state.mean(x), state.mean(y)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -147,7 +133,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -166,9 +152,16 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"==== setting up ezkl ====\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
@@ -183,17 +176,16 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"==== setting up ezkl ====\n",
|
||||
"Time setup: 0.5496859550476074 seconds\n"
|
||||
"Time setup: 0.907416820526123 seconds\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[51.5, 46.25]"
|
||||
"[51.5390625, 4.0859375]"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -223,27 +215,49 @@
|
||||
"\n",
|
||||
"from zkstats.core import verifier_define_calculation, verifier_verify\n",
|
||||
"\n",
|
||||
"verifier_model_path = f\"{output_dir}/verifier_model.onnx\"\n",
|
||||
"verifier_compiled_model_path = f\"{output_dir}/verifier_model.compiled\"\n",
|
||||
"verifier_vk_path = f\"{output_dir}/verifier_model.vk\"\n",
|
||||
"verifier_pk_path = f\"{output_dir}/verifier_model.pk\"\n",
|
||||
"dummy_data_path = f\"{output_dir}/dummy_data.json\"\n",
|
||||
"sel_dummy_data_path = f\"{output_dir}/sel_dummy_data.json\"\n",
|
||||
"\n",
|
||||
"# NOTE: generate the verifier model with the `precal_witness_path` provided by the prover\n",
|
||||
"_, verifier_model = computation_to_model(computation, precal_witness_path, isProver=False, selected_columns=selected_columns)\n",
|
||||
"def generate_verifier_model_and_setup(\n",
|
||||
" output_dir: str,\n",
|
||||
" computation, # from myself\n",
|
||||
" precal_witness_path, # from prover\n",
|
||||
" data_shape, # from prover\n",
|
||||
"):\n",
|
||||
" # Generate the verifier model with the `precal_witness_path` provided by the prover\n",
|
||||
" selected_columns, _, verifier_model = computation_to_model(computation, precal_witness_path, data_shape, isProver=False)\n",
|
||||
"\n",
|
||||
" verifier_model_path = f\"{output_dir}/verifier_model.onnx\"\n",
|
||||
" verifier_compiled_model_path = f\"{output_dir}/verifier_model.compiled\"\n",
|
||||
"\n",
|
||||
" verifier_vk_path = f\"{output_dir}/verifier_model.vk\"\n",
|
||||
" verifier_pk_path = f\"{output_dir}/verifier_model.pk\"\n",
|
||||
" dummy_data_path = f\"{output_dir}/dummy_data.json\"\n",
|
||||
" sel_dummy_data_path = f\"{output_dir}/sel_dummy_data.json\"\n",
|
||||
"\n",
|
||||
" # Create dummy data with the same shape as the original data\n",
|
||||
" create_dummy(data_shape, dummy_data_path)\n",
|
||||
"\n",
|
||||
" # Generate the verifier model given the dummy data and the selected columns\n",
|
||||
" verifier_define_calculation(dummy_data_path, selected_columns, sel_dummy_data_path, verifier_model, verifier_model_path)\n",
|
||||
"\n",
|
||||
" # Generate the verification key\n",
|
||||
" setup(verifier_model_path, verifier_compiled_model_path, settings_path, verifier_vk_path, verifier_pk_path)\n",
|
||||
"\n",
|
||||
" return selected_columns, verifier_vk_path\n",
|
||||
"\n",
|
||||
"# Determine which srs to use with the logrows in the settings.json\n",
|
||||
"with open(settings_path, \"r\") as f:\n",
|
||||
" settings = json.load(f)\n",
|
||||
"logrows = int(settings[\"run_args\"][\"logrows\"])\n",
|
||||
"srs_path = f'~/.ezkl/srs/kzg{logrows}.srs'\n",
|
||||
"\n",
|
||||
"# create dummy data with the same shape as the original data\n",
|
||||
"create_dummy(data_shape, dummy_data_path)\n",
|
||||
"# generate the verifier model given the dummy data and the selected columns\n",
|
||||
"verifier_define_calculation(dummy_data_path, selected_columns, sel_dummy_data_path, verifier_model, verifier_model_path)\n",
|
||||
"# generate the verification key\n",
|
||||
"setup(verifier_model_path, verifier_compiled_model_path, settings_path, verifier_vk_path, verifier_pk_path)\n",
|
||||
"# Call the function with the necessary parameters\n",
|
||||
"selected_columns, verifier_vk_path = generate_verifier_model_and_setup(\n",
|
||||
" output_dir,\n",
|
||||
" computation,\n",
|
||||
" precal_witness_path,\n",
|
||||
" data_shape,\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"# verify the proof\n",
|
||||
"verifier_verify(proof_path, settings_path, verifier_vk_path, selected_columns, data_commitment_path)"
|
||||
]
|
||||
@@ -257,23 +271,21 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Model onnx:\t\t /Users/mhchia/projects/work/pse/demo-next/public/assets/out/verifier_model.onnx\n",
|
||||
"Settings:\t\t /Users/mhchia/projects/work/pse/demo-next/public/assets/out/settings.json\n",
|
||||
"Proof:\t\t\t /Users/mhchia/projects/work/pse/demo-next/public/assets/out/model.pf\n",
|
||||
"Verification key:\t /Users/mhchia/projects/work/pse/demo-next/public/assets/out/verifier_model.vk\n",
|
||||
"Srs path:\t\t ~/.ezkl/srs/kzg11.srs\n"
|
||||
"Srs path:\t\t ~/.ezkl/srs/kzg12.srs\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"Model onnx:\\t\\t\", verifier_model_path)\n",
|
||||
"print(\"Settings:\\t\\t\", settings_path)\n",
|
||||
"print(\"Proof:\\t\\t\\t\", proof_path)\n",
|
||||
"print(\"Verification key:\\t\", verifier_vk_path)\n",
|
||||
@@ -297,7 +309,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.4"
|
||||
"version": "3.12.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -18,8 +18,7 @@ const possibleScales = Array.from({ length: 20 }, (_, i) => i);
|
||||
|
||||
// template notebook settings
|
||||
const templateNotebook = `${assetsURL}/template.ipynb`;
|
||||
const cellForSelectedColumns = 4;
|
||||
const cellForUserComputation = 6;
|
||||
const cellForUserComputation = 4;
|
||||
|
||||
/**
|
||||
* Generate the notebook for the computation
|
||||
@@ -27,16 +26,11 @@ const cellForUserComputation = 6;
|
||||
*/
|
||||
export async function generateJupyterNotebookForComputation(
|
||||
computation: string,
|
||||
selectedColumns: string[],
|
||||
templateURL: string,
|
||||
) {
|
||||
const splitCode = computation.split("\n").map((line) => `${line}\n`);
|
||||
const response = await fetch(templateURL);
|
||||
const template = await response.json();
|
||||
// Fill the selected columns in the notebook
|
||||
const selectedColumnsCell = template.cells[cellForSelectedColumns];
|
||||
// Put `selected_columns = ["col1", "col2", ...]` in the notebook
|
||||
selectedColumnsCell.source = `selected_columns = ${JSON.stringify(selectedColumns)}`;
|
||||
// Fill the user computation in the notebook
|
||||
const codeCell = template.cells[cellForUserComputation];
|
||||
codeCell.source = splitCode;
|
||||
@@ -46,15 +40,14 @@ export async function generateJupyterNotebookForComputation(
|
||||
async function exampleDownloadNotebook() {
|
||||
const name = "mean";
|
||||
const date = Date.now();
|
||||
const selectedColumns = ["x", "y"];
|
||||
const computation = `import torch
|
||||
from zkstats.computation import State
|
||||
from zkstats.computation import State, Args
|
||||
|
||||
def computation(state: State, x: list[torch.Tensor]):
|
||||
out_0 = state.median(x[0])
|
||||
out_1 = state.median(x[1])
|
||||
return state.mean(torch.cat([out_0.unsqueeze(0), out_1.unsqueeze(0)]).reshape(-1,1))`
|
||||
const notebook = await generateJupyterNotebookForComputation(computation, selectedColumns, templateNotebook)
|
||||
def computation(state: State, args: Args):
|
||||
x = args["x"]
|
||||
y = args["y"]
|
||||
return state.mean(x), state.mean(y)`
|
||||
const notebook = await generateJupyterNotebookForComputation(computation, templateNotebook)
|
||||
// Download for testing
|
||||
const element = document.createElement("a");
|
||||
const file = new Blob([notebook], {type: 'text/plain'});
|
||||
|
||||
Reference in New Issue
Block a user