def checkstring(string):
    if len(string)==0:
        return True
    else:
        return False
print(checkstring("5gh"))
print(checkstring(""))

#pip install faker
from faker import Faker

fake = Faker()
name = set()

while len(name) < 80000:
    name.add(fake.name())

print(name)

# Hollow Rectangle of '*'
def hollow_pattern(row, col):
    for i in range(row):
        for j in range(col):
            if i == 0 or i == row-1 or j == 0 or j == col-1:
                print('* ', end='')
            else:
                print('  ', end='')
        print('')

import requests
from bs4 import BeautifulSoup as BSP

def get_image_urls(search_query):
    url = f"https://www.google.com/search?q={search_query}&tbm=isch"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        src = img['src']
        if not src.endswith("gif"):
            all_img.append(src)

    return all_img

print(get_image_urls("boy"))

import requests

ask = input("query to search image:-  ")

class Unsplash:
    base_url = "https://mukesh-api.vercel.app/"
    """search image from unsplash api by @mr_sukkun"""

    def __init__(self, ask) -> None:
        self.ask = ask

    def unsplash_reply(self):
        url = f"{self.base_url}unsplash?query={self.ask}"
        response = requests.get(url)
        if response.status_code == 200:
            return response.json()
        else:
            return {"error": "Failed to fetch data"}

x = Unsplash(ask)
print(x.unsplash_reply())

import requests
from bs4 import BeautifulSoup as BSP

def split_url(url):
    return url.split('&')[0]

def get_image_urls(search_query):
    url = f"https://cn.bing.com/images/search?q={search_query}&first=1&cw=1177&ch=678"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        img_url = img.get('src2')
        if img_url and img_url.startswith('https://tse2.mm.bing.net/'):
            img_url = split_url(img_url)
            all_img.append(img_url)

    return all_img

print(get_image_urls("cat"))

['https://tse2.mm.bing.net/th?q=Cat+Portrait', ...']

string = "Lorem ipsum dolor sit amet"
words = string.split(" ")
word_counts = {}

for word in words:
    word = word.lower()
    word_counts[word] = word_counts.get(word, 0) + 1

print(word_counts)

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import cloudscraper

def fetch_leetcode_information(query=""):
    """
    Fetches leetcode information from a given API based on the query parameter.

    Args:
    query (str): The query to filter the results, defaults to an empty string.

    Returns:
    dict: Key-value pairs extracted from the fetched JSON data.
    """
    base_url = "https://mukesh-api.vercel.app/leetcode"
    if query:
        url = f"{base_url}?query={query}"
    else:
        query = input("Please enter a query: ")
        url = f"{base_url}?query={query}"

    scraper = cloudscraper.create_scraper()
    response = scraper.get(url).json()
    return response.get("results", {})


# example 
query = "noob-mukesh"
data = fetch_leetcode_information(query)

for key, value in data.items():
    print(f"{key}: {value}")