barce

def predict_stats(a_stats, i_days):
  x = np.array( list(range(0,len(a_stats))) )
  y = np.array(a_stats)
  z = np.polyfit(x,y,3) # construct x**2 + xy + 3
  p_true = np.poly1d(z)
  return p_true(len(a_stats) + i_days)

barce

#!/usr/bin/env ruby


# Given an array of integers, return indices of the two nums such that they add up to a specific target.
# 
# You may assume that each input would have exactly one solution, and you may not use the same element twice.

def two_sum(nums, target)

  a_copy = []

barce

/***********************************************************************
 * connect.c -- Make socket connection using SOCKS4/5 and HTTP tunnel.
 *
 * Copyright (c) 2000-2004 Shun-ichi Goto
 * Copyright (c) 2002, J. Grant (English Corrections)
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the GNU General Public License
 * as published by the Free Software Foundation; either version 2
 * of the License, or (at your option) any later version.

barce

<?php

function h($string, $esc_type = 'htmlall')
{
	switch ($esc_type) {
		case 'css':
			$string = str_replace(array('<', '>', '\\'), array('&lt;', '&gt;', '&#47;'), $string);
			// get rid of various versions of javascript
			$string = preg_replace(
                    '/j\s*[\\\]*\s*a\s*[\\\]*\s*v\s*[\\\]*\s*a\s*[\\\]*\s*s\s*[\\\]*\s*c\s*[\\\]*\s*r\s*[\\\]*\s*i\s*[\\\]*\s*p\s*[\\\]*\s*t\s*[\\\]*\s*:/i',

barce

#!/usr/bin/env ruby

require 'rubygems'
require 'rmagick'

def is_grayscale(file_name)
  Magick::Image.read('trix_pushed_2_stops.jpg')[0].each_pixel do |pixel, col, row|
    puts "Pixel at: #{col}x#{row}:\tR: #{pixel.red}, G: #{pixel.green}, B: #{pixel.blue}"
    unless (pixel.red == pixel.green) && (pixel.green == pixel.blue)
      return FALSE

barce

from amazonadapi import AmazonClient
import os
client = AmazonClient()
client.refresh_token = os.environ['AMZN_REFRESH_TOKEN']
client.auto_refresh_token()
client.set_region()
client.profile_id = '3586026682031981'
orders = client.get_orders(dsp_advertiser_id)

barce

import collections

c = collections.Counter('helloworld')

print(c)
# Counter({'l': 3, 'o': 2, 'e': 1, 'd': 1, 'h': 1, 'r': 1, 'w': 1})

print(c.most_common(3))
# [('l', 3), ('o', 2), ('e', 1)]

barce

def dispatch_if(operator, x, y):
    if operator == 'add':
        return x + y
    elif operator == 'sub':
        return x - y
    elif operator == 'mul':
        return x * y
    elif operator == 'div':
        return x / y
    else:

barce

require 'rest_client'
require 'json'

# RestClient.log=STDOUT # Optionally turn on logging

q = '{
    "query" : { "term" : { "user" : "kimchy" } }
}
'
r = JSON.parse \

barce

require 'faraday'
conn = Faraday.new(:url => 'https://www.google.com') do |faraday|
     faraday.request  :url_encoded             # form-encode POST params
     faraday.response :logger                  # log requests to STDOUT
     faraday.adapter  Faraday.default_adapter  # make requests with Net::HTTP
end

response = conn.get '/'