mirror of
https://github.com/fenago/data-science.git
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283 lines
6.2 KiB
Plaintext
283 lines
6.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "kl29WUo3W4D5"
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},
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"outputs": [],
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"source": [
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"import socket\n",
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"import threading\n",
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"import requests\n",
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"import json\n",
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"from flask import Flask, jsonify, request"
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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": null,
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"metadata": {
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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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"colab_type": "code",
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"executionInfo": {
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"elapsed": 855,
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"status": "ok",
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"timestamp": 1574651075864,
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"user": {
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"displayName": "Anthony So",
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"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64",
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"userId": "11809607246124237079"
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},
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"user_tz": -660
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},
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"id": "jSL6D5Q7yxNq",
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"outputId": "e2f2aa1f-42b0-498a-a162-a7ab64e8eb02"
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},
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"outputs": [],
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"source": [
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"ip_address = socket.gethostbyname(socket.gethostname()) + ':8080'\n",
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"ip_address"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "pvYKOG2NzIEc"
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},
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"outputs": [],
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"source": [
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"app = Flask(__name__)"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "IU_Q8MYzzPdK"
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},
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"outputs": [],
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"source": [
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"@app.route(\"/\")\n",
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"def welcome():\n",
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" return \"Welcome to my API!\""
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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": null,
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"metadata": {
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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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"colab_type": "code",
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"executionInfo": {
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"elapsed": 846,
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"status": "ok",
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"timestamp": 1574651075866,
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"user": {
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"displayName": "Anthony So",
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"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64",
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"userId": "11809607246124237079"
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},
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"user_tz": -660
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},
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"id": "6iLQtxEEz6vK",
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"outputId": "a78173bf-b091-461d-8393-552b4bf94baf"
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},
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"outputs": [],
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"source": [
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"flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':8080})\n",
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"flask_thread.start()"
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 51
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},
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"colab_type": "code",
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"executionInfo": {
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"elapsed": 11711,
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"status": "ok",
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"timestamp": 1574651090661,
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"user": {
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"displayName": "Anthony So",
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"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64",
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"userId": "11809607246124237079"
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},
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"user_tz": -660
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},
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"id": "ooPSHPDO0C7f",
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"outputId": "8855b8b7-5c44-454f-eba1-6e5230157d57"
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},
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"outputs": [],
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"source": [
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"r = requests.get(f\"http://{ip_address}\")\n",
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"r.text"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "qrihpEDn0FRf"
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},
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"outputs": [],
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"source": [
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"@app.route('/empty', methods=['POST'])\n",
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"def check_empty():\n",
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" data = request.get_json()\n",
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" return jsonify(not data)"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "h6DSUEWD3CIL"
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},
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"outputs": [],
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"source": [
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"empty_json = json.dumps([])"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "DgH1hJMD3m0v"
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},
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"outputs": [],
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"source": [
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"headers = {'content-type': 'application/json', 'Accept-Charset': 'UTF-8'}"
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 51
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},
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"colab_type": "code",
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"executionInfo": {
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"elapsed": 821,
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"status": "ok",
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"timestamp": 1574651099539,
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"user": {
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"displayName": "Anthony So",
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"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64",
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"userId": "11809607246124237079"
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},
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"user_tz": -660
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},
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"id": "TqqJA5Un32sx",
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"outputId": "46ee7fe5-31c1-42c7-e8d1-6bedc673edfc"
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},
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"outputs": [],
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"source": [
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"r_empty = requests.post(f\"http://{ip_address}/empty\", data=empty_json, headers=headers)\n",
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"r_empty.text"
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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": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "M9J-lEDx4mOe"
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},
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"outputs": [],
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"source": [
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"not_empty_json = json.dumps(['Data Science', 'is', 'so', 'cool', '!'])"
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 51
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},
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"colab_type": "code",
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"executionInfo": {
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"elapsed": 715,
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"status": "ok",
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"timestamp": 1574651101516,
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"user": {
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"displayName": "Anthony So",
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"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64",
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"userId": "11809607246124237079"
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},
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"user_tz": -660
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},
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"id": "5LFjq2ON4k78",
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"outputId": "ab8fac96-e0be-4701-dd2a-fc465553c9ae"
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},
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"outputs": [],
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"source": [
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"r_not_empty = requests.post(f\"http://{ip_address}/empty\", data=not_empty_json, headers=headers)\n",
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"r_not_empty.text"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"name": "Exercise18_01.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.8.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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