sshh12

from xml.dom import minidom
import requests
import time

Q_ID = 17937
LOC_ID = 3532
DAYS = 3
AUTH = "fill me"
TARGET_MONTH = "fill me"

sshh12

import matplotlib.pyplot as plt
import random
import math

def get_prob(n, k, trials=200000):

    perfect = 0

    for _ in range(trials):

sshh12

def get_scores(nums, turn=0, a=0, b=0):

    if len(nums) == 0:
        
        return (a, b)

    else:

        left = get_scores(nums[1:],

sshh12

def multiadder(n):
  if n == 1:
    return lambda t: t
  else:
    return lambda a: lambda b: multiadder(n-1)(a+b)

def multiadder2(n):
  if n == 1:
    def f(x):
        return x

sshh12

Email Response

The information you sent was amazing. I think you definitely have a future in computers. 

I am sharing your information with the manufacture of the Home Access Center (HAC), SunGard. 

I will share their findings with you as well. 

Thank you again for your honorable and ethical approach to an issue. 

sshh12

import glob
import os

## Count

exts = ['.py', '.js', '.md', 'java', '.html', '.css', '.pde']

def count_lines(fn):

	i = 0

sshh12

sshh12

from textblob.classifiers import DecisionTreeClassifier as TextClassifier
from datetime import datetime
import matplotlib.pyplot as plt
import csv

num_months = 13

with open('train.csv', 'r') as fp:
    
    clf = TextClassifier(fp, format="csv")

sshh12

public class ArrayMaker {
    
    public static void main(String[] args) {
    
        int N = 150000;
        
        for(int n = 500; n < N; n += 100) {
            
            long sumInt = 0, sumLong = 0, sumObject = 0;

sshh12

import numpy as np
import cv2


class CellularAutomaton:

    def __init__(self, size=1000, rule=0):

        self.size = size
        self.rule = rule