mirror of
https://github.com/MPCStats/zk-stats-lib.git
synced 2026-01-09 21:48:10 -05:00
288 lines
26 KiB
Plaintext
288 lines
26 KiB
Plaintext
{
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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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"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: ezkl==9.1.0 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 1)) (9.1.0)\n",
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"Requirement already satisfied: torch in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 2)) (2.2.0)\n",
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"Requirement already satisfied: requests in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 3)) (2.31.0)\n",
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"Requirement already satisfied: scipy in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 4)) (1.12.0)\n",
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"Requirement already satisfied: numpy in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 5)) (1.26.3)\n",
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"Requirement already satisfied: matplotlib in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 6)) (3.8.2)\n",
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"Requirement already satisfied: statistics in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 7)) (1.0.3.5)\n",
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"Requirement already satisfied: onnx in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from -r ../../requirements.txt (line 8)) (1.15.0)\n",
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"Requirement already satisfied: filelock in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (3.13.1)\n",
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"Requirement already satisfied: typing-extensions>=4.8.0 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (4.9.0)\n",
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"Requirement already satisfied: sympy in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (1.12)\n",
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"Requirement already satisfied: networkx in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (3.2.1)\n",
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"Requirement already satisfied: jinja2 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (3.1.3)\n",
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"Requirement already satisfied: fsspec in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from torch->-r ../../requirements.txt (line 2)) (2023.12.2)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from requests->-r ../../requirements.txt (line 3)) (3.3.2)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from requests->-r ../../requirements.txt (line 3)) (3.6)\n",
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"Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from requests->-r ../../requirements.txt (line 3)) (2.2.0)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from requests->-r ../../requirements.txt (line 3)) (2024.2.2)\n",
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"Requirement already satisfied: contourpy>=1.0.1 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (1.2.0)\n",
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"Requirement already satisfied: cycler>=0.10 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (0.12.1)\n",
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"Requirement already satisfied: fonttools>=4.22.0 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (4.47.2)\n",
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"Requirement already satisfied: kiwisolver>=1.3.1 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (1.4.5)\n",
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"Requirement already satisfied: packaging>=20.0 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (23.2)\n",
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"Requirement already satisfied: pillow>=8 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (10.2.0)\n",
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"Requirement already satisfied: pyparsing>=2.3.1 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (3.1.1)\n",
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"Requirement already satisfied: python-dateutil>=2.7 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from matplotlib->-r ../../requirements.txt (line 6)) (2.8.2)\n",
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"Requirement already satisfied: docutils>=0.3 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from statistics->-r ../../requirements.txt (line 7)) (0.20.1)\n",
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"Requirement already satisfied: protobuf>=3.20.2 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from onnx->-r ../../requirements.txt (line 8)) (4.25.2)\n",
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"Requirement already satisfied: six>=1.5 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib->-r ../../requirements.txt (line 6)) (1.16.0)\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from jinja2->torch->-r ../../requirements.txt (line 2)) (2.1.4)\n",
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"Requirement already satisfied: mpmath>=0.19 in /Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages (from sympy->torch->-r ../../requirements.txt (line 2)) (1.3.0)\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;49m23.2.1\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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"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 -r ../../requirements.txt"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import ezkl\n",
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"import torch\n",
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"from torch import nn\n",
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"import json\n",
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"import os\n",
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"import time\n",
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"import scipy\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import statistics\n",
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"import math"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"from zkstats.core import create_dummy, verifier_define_calculation, prover_gen_settings, setup, prover_gen_proof, verifier_verify, get_data_commitment_maps"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# init path\n",
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"os.makedirs(os.path.dirname('shared/'), exist_ok=True)\n",
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"os.makedirs(os.path.dirname('prover/'), exist_ok=True)\n",
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"verifier_model_path = os.path.join('shared/verifier.onnx')\n",
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"prover_model_path = os.path.join('prover/prover.onnx')\n",
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"verifier_compiled_model_path = os.path.join('shared/verifier.compiled')\n",
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"prover_compiled_model_path = os.path.join('prover/prover.compiled')\n",
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"pk_path = os.path.join('shared/test.pk')\n",
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"vk_path = os.path.join('shared/test.vk')\n",
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"proof_path = os.path.join('shared/test.pf')\n",
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"settings_path = os.path.join('shared/settings.json')\n",
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"srs_path = os.path.join('shared/kzg.srs')\n",
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"witness_path = os.path.join('prover/witness.json')\n",
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"# this is private to prover since it contains actual data\n",
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"sel_data_path = os.path.join('prover/sel_data.json')\n",
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"# this is just dummy random value\n",
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"sel_dummy_data_path = os.path.join('shared/sel_dummy_data.json')"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"======================= ZK-STATS FLOW ======================="
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"data_path = os.path.join('data.json')\n",
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"dummy_data_path = os.path.join('shared/dummy_data.json')\n",
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"create_dummy(data_path, dummy_data_path)"
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"scales = [3]\n",
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"selected_columns = ['col_name']\n",
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"commitment_maps = get_data_commitment_maps(data_path, scales)"
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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": 7,
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"metadata": {},
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"outputs": [
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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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"/Users/jernkun/Desktop/zk-stats-lib/zkstats/computation.py:166: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
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" is_precise_aggregated = torch.tensor(1.0)\n",
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"/Users/jernkun/Library/Caches/pypoetry/virtualenvs/zkstats-OJpceffF-py3.11/lib/python3.11/site-packages/torch/onnx/symbolic_opset9.py:2174: FutureWarning: 'torch.onnx.symbolic_opset9._cast_Bool' is deprecated in version 2.0 and will be removed in the future. Please Avoid using this function and create a Cast node instead.\n",
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" return fn(g, to_cast_func(g, input, False), to_cast_func(g, other, False))\n"
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]
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}
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],
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"source": [
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"# Verifier/ data consumer side: send desired calculation\n",
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"from zkstats.computation import computation_to_model, State\n",
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"\n",
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"\n",
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"def computation(s: State, data: list[torch.Tensor]) -> torch.Tensor:\n",
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" x = data[0]\n",
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" return s.stdev(x)\n",
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"\n",
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"error = 0.01\n",
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"_, verifier_model = computation_to_model(computation, error)\n",
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"\n",
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"verifier_define_calculation(dummy_data_path, selected_columns, sel_dummy_data_path, verifier_model, verifier_model_path)"
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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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"metadata": {},
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"outputs": [
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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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"\n",
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"\n",
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" <------------- Numerical Fidelity Report (input_scale: 3, param_scale: 3, scale_input_multiplier: 1) ------------->\n",
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"\n",
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"+--------------+--------------+-----------+--------------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
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"| mean_error | median_error | max_error | min_error | mean_abs_error | median_abs_error | max_abs_error | min_abs_error | mean_squared_error | mean_percent_error | mean_abs_percent_error |\n",
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"+--------------+--------------+-----------+--------------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
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"| -0.022477627 | -0.044955254 | 0 | -0.044955254 | 0.022477627 | 0.044955254 | 0.044955254 | 0 | 0.0010104874 | -0.0015416706 | 0.0015416706 |\n",
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"+--------------+--------------+-----------+--------------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
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"\n",
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"\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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"==== Generate & Calibrate Setting ====\n",
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"scale: [3]\n",
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"setting: {\"run_args\":{\"tolerance\":{\"val\":0.0,\"scale\":1.0},\"input_scale\":3,\"param_scale\":3,\"scale_rebase_multiplier\":1,\"lookup_range\":[-20336,4],\"logrows\":15,\"num_inner_cols\":2,\"variables\":[[\"batch_size\",1]],\"input_visibility\":{\"Hashed\":{\"hash_is_public\":true,\"outlets\":[]}},\"output_visibility\":\"Public\",\"param_visibility\":\"Private\",\"div_rebasing\":false,\"rebase_frac_zero_constants\":false,\"check_mode\":\"UNSAFE\"},\"num_rows\":14432,\"total_assignments\":2722,\"total_const_size\":309,\"model_instance_shapes\":[[1],[1]],\"model_output_scales\":[0,3],\"model_input_scales\":[3],\"module_sizes\":{\"kzg\":[],\"poseidon\":[14432,[1]]},\"required_lookups\":[\"Abs\",{\"GreaterThan\":{\"a\":0.0}}],\"required_range_checks\":[[-4,4]],\"check_mode\":\"UNSAFE\",\"version\":\"9.1.0\",\"num_blinding_factors\":null,\"timestamp\":1709451015079}\n"
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]
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}
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],
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"source": [
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"# Prover/ data owner side\n",
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"_, prover_model = computation_to_model(computation, error)\n",
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"\n",
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"prover_gen_settings(data_path, selected_columns, sel_data_path, prover_model,prover_model_path, scales, \"resources\", settings_path)"
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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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"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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"==== setting up ezkl ====\n",
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"Time setup: 3.3544819355010986 seconds\n",
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"=======================================\n",
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"==== Generating Witness ====\n",
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"witness boolean: 1.0\n",
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"witness result 1 : 14.625\n",
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"==== Generating Proof ====\n",
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"proof: {'instances': [['d57f47950cdabf2cb79306e0f33e75726a2c2960806e902b0fc88d3ff949a108', '0100000000000000000000000000000000000000000000000000000000000000', '7500000000000000000000000000000000000000000000000000000000000000']], 'proof': '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'transcript_type': 'EVM'}\n",
|
|
"Time gen prf: 4.1637749671936035 seconds\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Here verifier & prover can concurrently call setup since all params are public to get pk.\n",
|
|
"# Here write as verifier function to emphasize that verifier must calculate its own vk to be sure\n",
|
|
"setup(verifier_model_path, verifier_compiled_model_path, settings_path,vk_path, pk_path )\n",
|
|
"\n",
|
|
"print(\"=======================================\")\n",
|
|
"# Prover generates proof\n",
|
|
"prover_gen_proof(prover_model_path, sel_data_path, witness_path, prover_compiled_model_path, settings_path, proof_path, pk_path)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Verifier gets result: [14.625]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Verifier verifies\n",
|
|
"res = verifier_verify(proof_path, settings_path, vk_path, selected_columns, commitment_maps)\n",
|
|
"print(\"Verifier gets result:\", res)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.4"
|
|
},
|
|
"orig_nbformat": 4
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|