Dbhardwaj99

import matplotlib.pyplot as plt
import numpy as np


def apply_frequency_mask(spectrogram, num_masks=1, mask_width=10):
    """
    Apply frequency masking to the input spectrogram.

    Parameters:
        spectrogram (numpy array): 2D array representing the audio spectrogram.

Dbhardwaj99

import numpy as np
import matplotlib.pyplot as plt
import sounddevice as sd

def generate_random_sound(duration=2.0, sample_rate=16000):
    """
    Generate a random sound.
    
    Parameters:
    duration (float): Duration of the sound in seconds.

Dbhardwaj99

import cv2
import numpy as np
import sqlite3
import pyttsx3

# Database setup
conn = sqlite3.connect('object_tracking.db')
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS objects
             (id INTEGER PRIMARY KEY AUTOINCREMENT, rx INTEGER, ry INTEGER, rw INTEGER, rh INTEGER, roi_hist BLOB)''')

Dbhardwaj99

import socket

# Create a socket object
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

# Get the local machine name
host = socket.gethostname()

# Set the port number
port = 12345

Dbhardwaj99

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

# Load the data for the recommendation system
data = pd.read_csv("posts.csv")

# Select the relevant columns for the ML model
X = data[["hashtags", "time_spent"]]

Dbhardwaj99

Dbhardwaj99

# Question 1
list1 = []
for i in range(20):
    if i % 2 == 0 or i % 4 == 0:
        list1.append(i)


# Question 2
def square(x):
    return x ** 2

Dbhardwaj99

// Linked list operations in C

#include <stdio.h>
#include <stdlib.h>

// Create a node
struct Node {
  int data;
  struct Node* next;
};

Dbhardwaj99

#include <iostream>
using namespace std;
struct cricket
{
    char player_name[11];
    char team[2];
    float bating_avg;
}

a[50];

Dbhardwaj99

#include <stdio.h>

int main()
{
    int i,num,rem,count;
    int ar[50];
    printf("Enter the number:\n");
    scanf("%d",&num);
    count = 0;
    i = 0;