victor-iyi

from nltk.corpus import wordnet
import threading
from queue import Queue
from datetime import datetime
import time

class WordSearch:

    def __init__(self):
        self.combo = set()

victor-iyi

import uuid
import hashlib

splitter = '$'

def hash_password(password):
  # userid is used to generate a random number
  salt = uuid.uuid4().hex # salt is stored in hex value
  hash_pass = '{}{}{}'.format(
    hashlib.sha256(salt.encode() + password.encode()).hexdigest(),

victor-iyi

'''
VICTOR's sorting algorithm!
=> vicSort

HOW vicSort WORKS

not_sorted = [2, 4, 1, 8, 5]

sorted =  []
          [2] # If no element in `sorted` add the first one

victor-iyi

import os
import numpy as np

project_dir = '/Users/victor/Documents/Devcrib/DigiSchools/desktop/digischools-desktop'
ignored_files = ['node_modules', 'package-lock.json', 'uploads', 'fonts',
                 'bootstrap-grid.min.css', 'bootstrap.css', 'bootstrap.min.css', 'dropzone.css',
                 'owl.carousel.min.js', 'jquery.min.js', 'jquery-1.10.2.js', 'owl.carousel.min.css',
                 'owl.theme.default.min.css', 'owl.video.play.png', 'pretty.min.css',
                 'jquery_upload.min.js', 'datatables.min.js', 'dataTables', 'datatables.min.css',
                 'bootstrap.min.js', 'dropzone.js', 'tether.min.js', 'wow.min.js', 'font-awesome.min.css',

victor-iyi

import nltk
from nltk.corpus import state_union
from nltk.tokenize import PunktSentenceTokenizer


'''
POS tag list:

CC	coordinating conjunction
CD	cardinal digit

victor-iyi

# coding: utf-8

# # 5-Layer Convnet for classifying the MNIST dataset

# In[1]:

# importing the dependencies
import tensorflow as tf
import numpy as np

victor-iyi

import re

'''
Identifiers:

\d = any number
\D = anything but a number
\s = space
\S = anything but a space
\w = any letter

victor-iyi

import numpy as np

time_taken_for_one_weight = 0.04
weights_to_try = 1000
weights_in_net = 8 # for 1 layer
one_year = 3600*24*365

years_to_train = time_taken_for_one_weight*(weights_to_try**weights_in_net)/one_year
print('{:,}'.format(years_to_train))

victor-iyi

import urllib.request
import urllib.parse

def get(url):
    try:
        
        headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'}
        req = urllib.request.Request(url, headers=headers)
        reqeust = urllib.request.urlopen(req)
        resp = request.read().decode()

victor-iyi

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import urllib
import numpy as np

def bytespdates2num(formt, encoding='utf-8'):
    strconverter = mdates.strpdate2num(formt)
    def bytesconverter(b):
        s = b.decode(encoding)
        return strconverter(s)