djamrozik

import tensorflow as tf 
import numpy as np
import matplotlib.pyplot as plt  # used to show a graph of the data

# random data to find a formula from
trainX = np.asarray(np.linspace(0, 2, 30))
trainY = 2 * trainX + np.random.randn(trainX.shape[0]) * 0.33

# used in operations later

djamrozik

var options = {
  url: 'https://oauth.reddit.com/api/v1/me', // the endpoint to hit
  headers: {
    'Authorization': 'bearer <YOUR ACCESS TOKEN>',
    'User-Agent': '<YOUR USER AGENT HERE>'
  }
}
  
request(options, (error, response, body) => {
  if (error) {

djamrozik

var buffer = new Buffer(app_client_id + ':' + app_client_secret).toString('base64')
var auth = 'Basic ' + buffer

var options = {
  url: 'https://www.reddit.com/api/v1/access_token',
  form: {
    "grant_type": "password",
    "username": reddit_username,
    "password": reddit_password
  },