riceluxs1t

import random
SWIPE = 0.1 # Percentage of times user unlocks when he sees rewards.

# Sample randomly from the seconds space of a day, N times. 
# Simulates user on/off actions
def sample_ticks(n):
	wakeups = [random.randrange(1, 3600*24 + 1) for _ in range(n)]
	wakeups.sort()
	return wakeups

riceluxs1t

from django.core.management.base import BaseCommand
from billi.redis_utils import get_redis, KEY_DAILY_ACTIVE_USER
from django.contrib.auth.models import User
from billi.utils import from_string_to_utc, utcnow, from_utc_to_local
from dateutil.rrule import rrule, DAILY
import binascii
from billi.settings import BILLI_DEFAULT_TIMEZONE_OFFSET, BILLI_DEFAULT_TIMEZONE
import logging
from datetime import timedelta

riceluxs1t

# -*- coding: utf-8 -*-
def compute_mean(alist):

	sum_ = 0
	for idx in range(len(alist)):
		sum_ = sum_ + alist[idx]

	return sum_/float(len(alist))

def compute_median(alist):

riceluxs1t

import timeit

def fibonacci_while_loop(n):
	#compute the n-th fibonacci number. n > 2
	count = 2
	first, last = 1, 1
	while count < n:
		first, last = last, first + last
		count += 1
	return last

riceluxs1t

__author__ = 'Nate'
import requests
import datetime
import json
import re
import sys

channel_mapping = {
    'new-adn-campaign-jp': 'C0CV6C3JP',
    'new-adn-campaign-tw': 'C0CV6C3RR',

riceluxs1t

#include <iostream>
using namespace std;
 
char board[12][6];
int processed[12][6];
char dir[4][2] = {
    {-1,0}, //up 
    {1,0}, //down
    {0,1}, //right
    {0,-1}, //left

riceluxs1t

# -*- coding:utf-8 -*-
import random
from collections import defaultdict
def weighted_choice(choices, n):
    """
    n개의 에드네트워크 정보를 픽한다. 단 이미 선택된 에드네트워크는 고려 대상에서 제외된다 (sample without replacement).
    힙 자료구조를 이용한다. O(nlogn)

    :param choices: 에드네트워크 초이스 정보가 담긴 리스트. 각 초이스정보는 딕셔너리. 딕셔너리의 키는 weight, adnetwork id, api key.
    :param n: 픽 갯수.

riceluxs1t

func throw_dice (arr_weights) {
  W <- sum(arr_weights)
  T <- RANDOM(0, W) // sample uniformly from [0, W)
  
  cumsum <- 0

  FOR i in 0..n-1, DO {
    
    IF T-cumsum <= arr_weigths[i], THEN
      RETURN arr_weights[i]

riceluxs1t

variant = [[1,2,4,5,6],[7,8,10,11,12],[13,14,16,17,18],[19,20,22,23,24],[25,26,28,29,30]]

for a in variant:
 row = a
 next = row[1]
 for i in row:
  if next-i == 1:
   if next == row[1]:
    next = row[2]
   elif next == row[2]:

riceluxs1t

variant = [[1,2,4,5,6],[7,8,10,11,12],[13,14,16,17,18],[19,20,22,23,24],[25,26,28,29,30]]

for a in variant:
 row = a
 next = row[1]
 for i in row:
  if next-i == 1:
   if next == row[1]:
    next = row[2]
   elif next == row[2]: