






from PIL import Image







def 		_UpperCamelCase				(      UpperCamelCase_    :   Image						)					->				Image:

						"""simple docstring"""



						lowerCAmelCase__  ,    lowerCAmelCase__        =  image.size
						lowerCAmelCase__        =  0
						lowerCAmelCase__        =  image.load()
						for i in range(UpperCamelCase_						):
												for j in range(UpperCamelCase_						):
																		lowerCAmelCase__        =  pixels[j, i]
																		mean += pixel
						mean //= width * height

						for j in range(UpperCamelCase_						):
												for i in range(UpperCamelCase_						):
																		lowerCAmelCase__        =  255 if pixels[i, j] > mean else 0
						return image


if __name__ == "__main__":
					__snake_case      :      Optional[int]             =       mean_threshold(Image.open("""path_to_image""").convert("""L"""))
					image.save("""output_image_path""")













from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

__snake_case      :      Any             =       """https://www.indeed.co.in/jobs?q=mobile+app+development&l="""







def 		_UpperCamelCase				(      UpperCamelCase_    :   str = "mumbai"						)					->				Generator[tuple[str, str], None, None]:

						"""simple docstring"""



						lowerCAmelCase__        =  BeautifulSoup(requests.get(url + location						).content      ,    'html.parser'						)
						# This attribute finds out all the specifics listed in a job
						for job in soup.find_all('div'      ,    attrs={'data-tn-component': 'organicJob'}						):
												lowerCAmelCase__        =  job.find('a'      ,    attrs={'data-tn-element': 'jobTitle'}						).text.strip()
												lowerCAmelCase__        =  job.find('span'      ,    {'class': 'company'}						).text.strip()
												yield job_title, company_name


if __name__ == "__main__":
					for i, job in enumerate(fetch_jobs("""Bangalore"""), 1):
										print(f'Job {i:>2} is {job[0]} at {job[1]}')





