HKAB

sum_10_condition = (
    ((2, 1), (3, 1)),
    ((5, 0), (5, 1)),
    ((7, 0), (7, 1)),
    ((5, 2), (6, 2)),
    ((2, 2), (2, 3)),
    ((1, 3), (2, 3)),
    ((4, 3), (4, 4)),
    ((5, 3), (6, 3)),
    ((7, 2), (7, 3)),

HKAB

# Check per_utt
with open('per_utt', 'r') as f:
    lines = f.read().splitlines()

for i in range(0, len(lines), 4):
    ref, hyp, _, _ = lines[i:i+4]

    id = ref.split()[0]
    ref = ' '.join(ref.split(" ", 1)[1].split())
    hyp = ' '.join(hyp.split(" ", 1)[1].split())

HKAB

from ankipandas import Collection
import pandas as pd
import json

col = Collection("/mnt/c/Users/khoah/AppData/Roaming/Anki2", user="User 1")
col.revs['date'] = col.revs.index
col.revs['seconds'] = (col.revs.index.values/1000).astype(int)
col.revs['times'] = 1
my_dict = dict()
for s, t in zip(col.revs['seconds'].values, col.revs['times'].values):

HKAB

def encrypt(plaintext, key):
    key_length = len(key)
    key_as_int = [ord(i) - ord('a') for i in key]
    plaintext_int = [ord(i) - ord('a') for i in plaintext]
    ciphertext = ''
    for i in range(len(plaintext_int)):
        value = (plaintext_int[i] + key_as_int[i % key_length]) % 26
        ciphertext += chr(value + ord('a'))
    return ciphertext
def decrypt(ciphertext, key):

HKAB

N = 10
S = [0]*256
T = [0]*256
K = [10, 20, 25, 15, 40, 60, 30, 70, 75, 90]
P = [1, 2, 2, 2]
C = []

for i in range(0, 256):
	S[i] = i
	T[i] = K[i % N]

HKAB

p = '111000'

# 19b, 21b, 22b
k = '1100110110101101011011001010110001101110011100010011100011101111'#1100110110101101011. 0110010101100011011100.11100010011100011101111

x = k[:19]
y = k[19:41]
z = k[41:]
s = ''
# print(x, y, z)

HKAB

import numpy as np
import sys
import PySimpleGUI as sg

# Tutorial: https://www.jigsawacademy.com/blogs/cyber-security/hill-cipher/

def matrix_cofactor(matrix):
    return np.linalg.inv(matrix).T * np.linalg.det(matrix)

def egcd(a, b):

HKAB

<script>alert("it's me!")</script>

HKAB

import numpy as np

Allocation = np.array([	[0, 1, 0], 
			[2, 0, 0], 
			[3, 0, 2], 
			[2, 1, 1], 
			[0, 0, 2]]
					)
Max = np.array([[7, 5, 3], 
		[3, 2, 2], 

HKAB

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
argon2-cffi=20.1.0=pypi_0
async-generator=1.10=pypi_0
attrs=20.3.0=pypi_0
backcall=0.2.0=pyhd3eb1b0_0
bleach=3.3.0=pypi_0
ca-certificates=2021.1.19=h06a4308_0