strumer69

import torch
import time

def measure_time(device):
    # create random matrix
    size=1000 # size of matrix
    mat1=torch.randn(size,size, device=device)
    mat2=torch.randn(size,size , device=device)

    # measure the time taken for matrix multiplication

strumer69

import mysql.connector

try:
    connection = mysql.connector.connect(host='localhost',
                                         database='sakila',
                                         user='root',
                                         password='sql12345678')

    sql_select_Query = "select * from customer"
    cursor = connection.cursor()

strumer69

def detect_outliers(data):
    outliers=[]
     
    threshold=3
    mean = np.mean(data)
    std =np.std(data)
     
     
    for i in data:
        z_score= (i - mean)/std 

strumer69

import numpy as np
import cv2

def correction(
        img,
        shadow_amount_percent, shadow_tone_percent, shadow_radius,
        highlight_amount_percent, highlight_tone_percent, highlight_radius,
        color_percent
):
    """