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‎oct22.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"name": "oct22.ipynb",
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"version": "0.3.2",
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"provenance": [],
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"toc_visible": true,
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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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"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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"[View in Colaboratory](https://colab.research.google.com/github/RonRichman/100daysofcode-with-python-course/blob/master/oct22.ipynb)"
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]
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},
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{
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"metadata": {
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"id": "xJuP_KS7VXOa",
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"colab_type": "text"
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},
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"cell_type": "markdown",
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"source": [
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"## Installing fastai in GPU enabled runtime\n",
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"\n",
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"Enable GPU runtime from the the runtime menu option-->Change runtime type\n",
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" \n",
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"\n",
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"\n",
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"1. Enable GPU runtime from the the runtime menu option-->Change runtime type\n",
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"2. Under the Hardware Accelerator, choose GPU\n",
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"3. Follow the below steps to install Pytorch GPU version followed by fastai"
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]
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},
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{
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"metadata": {
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"id": "sL1gDkp3FrW8",
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"colab_type": "code",
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"colab": {}
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},
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"cell_type": "code",
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"source": [
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"!pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu92/torch_nightly.html\n"
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],
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"execution_count": 0,
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"outputs": []
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},
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{
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"metadata": {
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"id": "oeMIL1FwK0gS",
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"colab_type": "code",
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"colab": {}
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},
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"cell_type": "code",
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"source": [
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"!pip install fastai\n"
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],
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"execution_count": 0,
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"outputs": []
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},
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{
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"metadata": {
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"id": "eOh7l8ArLydL",
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"colab_type": "code",
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"cellView": "both",
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"outputId": "18114a18-fa21-4a35-db4f-892e9fb7ecce",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 1003
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}
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},
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"cell_type": "code",
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"source": [
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"#@title\n",
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"import fastai\n",
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"fastai.show_install(1)"
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],
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"execution_count": 0,
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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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"\n",
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"\n",
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"```text\n",
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"=== Software === \n",
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"python version : 3.6.6\n",
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"fastai version : 1.0.11\n",
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"torch version : 1.0.0.dev20181019\n",
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"nvidia driver : 396.44\n",
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"torch cuda ver : 9.2.148\n",
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"torch cuda is : available\n",
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"torch cudnn ver : 7104\n",
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"torch cudnn is : enabled\n",
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"\n",
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"=== Hardware === \n",
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"nvidia gpus : 1\n",
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"torch available : 1\n",
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" - gpu0 : 11441MB | Tesla K80\n",
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"\n",
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"=== Environment === \n",
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"platform : Linux-4.14.65+-x86_64-with-Ubuntu-18.04-bionic\n",
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"distro : #1 SMP Sun Sep 9 02:18:33 PDT 2018\n",
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"conda env : Unknown\n",
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"python : /usr/bin/python3\n",
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"sys.path : \n",
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"/env/python\n",
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"/usr/lib/python36.zip\n",
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"/usr/lib/python3.6\n",
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"/usr/lib/python3.6/lib-dynload\n",
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"/usr/local/lib/python3.6/dist-packages\n",
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"/usr/lib/python3/dist-packages\n",
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"/usr/local/lib/python3.6/dist-packages/IPython/extensions\n",
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"/root/.ipython\n",
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"\n",
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"Sun Oct 21 06:21:51 2018 \n",
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"+-----------------------------------------------------------------------------+\n",
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"| NVIDIA-SMI 396.44 Driver Version: 396.44 |\n",
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"|-------------------------------+----------------------+----------------------+\n",
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"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
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"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
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"|===============================+======================+======================|\n",
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"| 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 |\n",
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"| N/A 34C P8 31W / 149W | 11MiB / 11441MiB | 0% Default |\n",
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"+-------------------------------+----------------------+----------------------+\n",
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" \n",
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"+-----------------------------------------------------------------------------+\n",
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"| Processes: GPU Memory |\n",
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"| GPU PID Type Process name Usage |\n",
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"|=============================================================================|\n",
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"| No running processes found |\n",
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"+-----------------------------------------------------------------------------+\n",
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"\n",
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"```\n",
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"\n",
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"Please make sure to include opening/closing ``` when you paste into forums/github to make the reports appear formatted as code sections.\n",
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"\n",
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"Optional package(s) to enhance the diagnostics can be installed with:\n",
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"pip install distro\n",
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"Once installed, re-run this utility to get the additional information\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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"metadata": {
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"id": "FgF7KvT9L214",
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"colab_type": "code",
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"outputId": "7b766b11-bd7c-4e0f-eb7e-3a741f6cb6fd",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 34
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}
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},
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"cell_type": "code",
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"source": [
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"import torch\n",
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"torch.cuda.is_available()"
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],
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"execution_count": 0,
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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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"True"
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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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"metadata": {
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"id": "U5tq4yh7QE5J",
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"colab_type": "code",
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"colab": {}
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},
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"cell_type": "code",
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"source": [
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""
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],
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"execution_count": 0,
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"outputs": []
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}
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]
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}

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