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pbelevichpbelevich
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Comment decrypt until #95 is available
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‎notebooks/encrypt_decrypt.ipynb

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"metadata": {
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"colab": {
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"name": "Encryption examples.ipynb",
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"provenance": []
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"provenance": [],
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"accelerator": "GPU"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/pbelevich/csprng/blob/encrypt_decrypt_notebook/notebooks/encrypt_decrypt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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{
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"cell_type": "code",
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"metadata": {
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"id": "jC1O-C25vI0W"
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"id": "jC1O-C25vI0W",
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"outputId": "beee40f0-7fa8-4354-affd-2fcf18305685",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"# !pip install --pre torchcsprng -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html\n",
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"# for CUDA runtime:\n",
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"!pip install --pre torchcsprng -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html"
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],
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"execution_count": null,
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"outputs": []
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"execution_count": 1,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Looking in links: https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html\n",
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"Collecting torchcsprng\n",
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"\u001b[?25l Downloading https://download.pytorch.org/whl/nightly/cu101/torchcsprng-0.2.0.dev20201210%2Bcu101-cp36-cp36m-linux_x86_64.whl (4.4MB)\n",
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"\u001b[K |████████████████████████████████| 4.4MB 552kB/s \n",
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"\u001b[?25hCollecting torch==1.8.0.dev20201210+cu101\n",
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"\u001b[?25l Downloading https://download.pytorch.org/whl/nightly/cu101/torch-1.8.0.dev20201210%2Bcu101-cp36-cp36m-linux_x86_64.whl (788.6MB)\n",
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"\u001b[K |████████████████████████████████| 788.6MB 25kB/s \n",
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"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.6/dist-packages (from torch==1.8.0.dev20201210+cu101->torchcsprng) (3.7.4.3)\n",
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"Requirement already satisfied: dataclasses; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from torch==1.8.0.dev20201210+cu101->torchcsprng) (0.8)\n",
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"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torch==1.8.0.dev20201210+cu101->torchcsprng) (1.18.5)\n",
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"\u001b[31mERROR: torchvision 0.8.1+cu101 has requirement torch==1.7.0, but you'll have torch 1.8.0.dev20201210+cu101 which is incompatible.\u001b[0m\n",
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"Installing collected packages: torch, torchcsprng\n",
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" Found existing installation: torch 1.7.0+cu101\n",
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" Uninstalling torch-1.7.0+cu101:\n",
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" Successfully uninstalled torch-1.7.0+cu101\n",
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"Successfully installed torch-1.8.0.dev20201210+cu101 torchcsprng-0.2.0.dev20201210+cu101\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
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"import torch\n",
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"import torchcsprng as csprng"
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],
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"execution_count": null,
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"execution_count": 2,
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"outputs": []
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},
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{
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"source": [
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"device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')"
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],
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"execution_count": null,
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"execution_count": 3,
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"outputs": []
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},
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{
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{
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"cell_type": "code",
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"metadata": {
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"id": "rw7WYZ-50To9"
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"id": "rw7WYZ-50To9",
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"outputId": "7e9accec-5ac1-4de2-fcc5-860df06ad338",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"key = torch.empty(16, dtype=torch.uint8, device=device).random_(0, 256)\n",
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"key"
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],
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"execution_count": null,
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"outputs": []
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"execution_count": 4,
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"tensor([ 94, 155, 111, 73, 36, 65, 95, 175, 103, 249, 39, 221, 225, 106,\n",
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" 147, 18], dtype=torch.uint8)"
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]
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},
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"metadata": {
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"tags": []
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},
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"execution_count": 4
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}
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]
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},
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{
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"cell_type": "markdown",
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{
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"cell_type": "code",
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"metadata": {
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"id": "LcuVmhyU0WTn"
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"id": "LcuVmhyU0WTn",
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"outputId": "2b887caa-ef4c-4e2a-bc7e-d00191cb727c",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"initial = torch.empty(42, dtype=torch.float32, device=device).normal_(-24.0, 42.0)\n",
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"initial"
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],
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"execution_count": null,
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"outputs": []
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"execution_count": 5,
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"tensor([ -33.2154, -4.4617, -2.9105, -37.1893, -6.0623, -47.4273,\n",
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" -44.7682, 23.7199, 52.3595, -80.1355, 10.7041, -52.0069,\n",
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" -59.1335, -51.7051, -96.7531, -47.6263, -37.4668, -26.9140,\n",
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" -8.7239, -68.0884, -73.8865, -35.0378, -24.9022, -71.3780,\n",
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" -83.3700, -73.9181, -56.9136, -14.0332, -0.1193, -24.6635,\n",
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" -12.3755, 26.1501, -21.7292, 61.0362, -8.2424, -27.3287,\n",
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" -116.2249, -32.5120, -56.9908, -44.0908, 15.9910, -12.2838])"
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]
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},
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"metadata": {
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"tags": []
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},
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"execution_count": 5
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"encrypted = torch.empty(22, dtype=torch.int64, device=device)"
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],
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"execution_count": null,
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"execution_count": 6,
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"outputs": []
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},
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{
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{
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"cell_type": "code",
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"metadata": {
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"id": "TK4OjPRq4lsJ"
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"id": "TK4OjPRq4lsJ",
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"outputId": "a9c7bee0-e95c-49fa-a6a8-8a33b58695e0",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"source": [
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"csprng.encrypt(initial, encrypted, key, \"aes128\", \"ecb\")"
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],
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"execution_count": null,
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"outputs": []
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"execution_count": 7,
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"tensor([-1712310488599806515, -8311769289706173237, -8219472943074007291,\n",
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" 4944862344658876406, 5289614356287313567, -6556419268017486570,\n",
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" -2070634943111059129, -6988005632242749066, -6786984565899259673,\n",
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" 2617853683610034142, 7394987086142621793, 9037048344238914391,\n",
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" -4389724417591829293, 639143755047053321, 6630155308790632093,\n",
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" 8233678956273288167, 7762736707078557167, -66820074992426839,\n",
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" 2506358826618882964, 3811127519115226076, 7223286519671228245,\n",
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" -4680879586720463643])"
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]
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},
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"metadata": {
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"tags": []
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},
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"execution_count": 7
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"decrypted = torch.empty_like(initial)"
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],
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"execution_count": null,
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"execution_count": 8,
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"outputs": []
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},
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{
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"id": "kojXCFGK5v6l"
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},
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"source": [
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"csprng.decrypt(encrypted, decrypted, key, \"aes128\", \"ecb\")"
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"# csprng.decrypt(encrypted, decrypted, key, \"aes128\", \"ecb\")"
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],
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"execution_count": null,
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"execution_count": 10,
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"outputs": []
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},
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{

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