gurusura

from __future__ import print_function
import os
import subprocess

root = "."

try:
   os.mkdir('compressed')
except FileExistsError:
   pass   

gurusura

"""
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Simple Hyperbolic tiling animation using taichi
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
import taichi as ti
ti.init(arch=ti.cpu)

# ----------------------------------------------
# global settings

gurusura

import sys
from requests import get
from bs4 import BeautifulSoup
# Put in your class details. It scans TRU bookstore to get ISBN
# It uses the ISBN to search Libgen to get MD5 
# It then downloads from Libgen using the MD5
def make_request(url):
    headers = {
    'Host': 'thebookstore.tru.ca',
    'Connection': 'keep-alive',

gurusura

import pandas as pd
import numpy as np
import datetime as dt
import math
import warnings

warnings.filterwarnings("ignore")

prices = pd.read_csv("adjclose.csv", index_col="Date", parse_dates=True)
volumechanges = pd.read_csv("volume.csv", index_col="Date", parse_dates=True).pct_change()*100

gurusura

#-*- coding:utf-8 - *-


def load_dataset():
    "Load the sample dataset."
    return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]


def createC1(dataset):
    "Create a list of candidate item sets of size one."