MeherajUlMahmmud

digits = [
    '০', '১', '২', '৩', '৪', '৫', '৬', '৭', '৮', '৯',
]
vowels = [
    'অ', 'আ', 'ই', 'ঈ', 'উ', 'ঊ', 'ঋ', 'এ', 'ঐ', 'ও', 'ঔ',
]
consonants = [
    'ক', 'খ', 'গ', 'ঘ', 'ঙ', 'চ', 'ছ', 'জ', 'ঝ', 'ঞ', 'ট', 'ঠ', 'ড', 'ঢ', 'ণ', 'ত', 'থ', 'দ', 'ধ', 'ন', 'প', 'ফ', 'ব',
    'ভ', 'ম', 'য', 'র', 'ল', 'শ', 'ষ', 'স', 'হ', 'ড়', 'ঢ়', 'য়', 'ৎ', 'ং', 'ঃ', 'ঁ',
]

MeherajUlMahmmud

def levenshtein_distance(str1, str2):
    m, n = len(str1), len(str2)
    
    # Initialize a matrix to store distances
    dp = [[0] * (n + 1) for _ in range(m + 1)]
    
    # Fill the matrix with base cases
    for i in range(m + 1):
        for j in range(n + 1):
            if i == 0:

MeherajUlMahmmud

import cv2
import numpy as np

def pad_image(image, padding_percent):
    """
    Pad the image and return it
    :param image: Numpy array
    :param padding_percent: float
    :return: padded_image: Numpy array
    """

MeherajUlMahmmud

var seatplan = [
	[3, 4],
	[4, 5],
	[2, 3],
	[3, 4],
];
// var seatplan = [
// 	[3, 2],
// 	[4, 3],
// 	[2, 3],

MeherajUlMahmmud

  Future pickDateTime(BuildContext context) async {
    final date = await pickDate(context);
    if (date == null) return;

    final time = await pickTime(context);
    if (time == null) return;

    setState(() {
      dateTime = DateTime(

MeherajUlMahmmud

# Reading the dataset
import matplotlib.pyplot as plt
import pandas as pd

df = pd.read_csv('SimpleLinearRegression.csv')
df.columns = ['YearsExperience', 'Salary']

X = df['YearsExperience']
y = df['Salary']

MeherajUlMahmmud

def multiply(mat1, mat2):
    row1 = len(mat1)
    col1 = len(mat1[0])
    rows2 = len(mat2)
    col2 = len(mat2[0])
 
    result = zeros(row1, col2)
            
    if (len(mat1[0]) != len(mat2)):
        print('The two matrices cannot be multiplied')

MeherajUlMahmmud

def subtract(mat1, mat2):
    row1 = len(mat1)
    col2 = len(mat2[0])
 
    result = zeros(row1, col2)
    
    for i in range(row1):
        for j in range(col2):
            result[i][j] = mat1[i][j] - mat2[i][j]

MeherajUlMahmmud

def add(mat1, mat2):
    row1 = len(mat1)
    col2 = len(mat2[0])
 
    result = zeros(row1, col2)
    
    for i in range(row1):
    	for j in range(col2):
    		result[i][j] = mat1[i][j] + mat2[i][j]
    

MeherajUlMahmmud

def identity(n):
    mat = zeros(n, n)
    for i in range(n):
        mat[i][i] = 1
    return mat
  
mat = identity(3)