linuxandchill

var webpack = require('webpack');
var path = require('path');

module.exports = {
  entry: [
    'webpack-dev-server/client?http://127.0.0.1:8080/',
    'webpack/hot/only-dev-server',
    './src/index.js'
  ],
  output: {

linuxandchill

defmodule Utils do 
  @username Application.get_env(:app_name, :username)
  @password Application.get_env(:app_name, :password)
  @base_url "https://api.intrinio.com/"
  @headers %{"Authorization" => "Basic " <> Base.encode64("#{@username}:#{@password}")}

  def page_loop(current_page \\ 1, acc \\ [], ticker \\ "") do 
    %HTTPoison.Response{body: response} = 
      HTTPoison.get! @base_url <> "prices?ticker=#{ticker}" <>
      "&page_number=#{current_page}", @headers 

linuxandchill

import cv2
from darkflow.net.build import TFNet
import numpy as np
import time
import tensorflow as tf

config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)

linuxandchill

linuxandchill

const fs =  require('fs');
const request = require('request');

// accepts twtr username
// retrieves and runs rosebud face mask model 
// saves img pic to disk
function maskItUp(userName) {
  request.get({url: `https://avatars.io/twitter/${userName}`, encoding: null}, function (err, response, body) {
    // pass img to rosebud masks4all
    // let masked = await processing 

linuxandchill

class Solution:
    def getAllElements(self, root1: TreeNode, root2: TreeNode) -> List[int]:
        one = self.traverse(root1)
        two = self.traverse(root2)
        
        temp = one + (len(two) * [0])
        
        self.merge(temp, len(one), two, len(two))
   
        return temp

linuxandchill

linuxandchill

////////////////////////////////////
/* "dependencies": {
    "@supabase/supabase-js": "^2.13.1",
    "langchain": "^0.0.44"
} */
////////////////////////////////////


import { OpenAI } from "langchain/llms";
import {