


from PIL import Image

def 			_a  (				SCREAMING_SNAKE_CASE	:				int     ):







 """simple docstring"""



 UpperCamelCase__       ,				UpperCamelCase__					:    List[Any]          =   image.size
 UpperCamelCase__					:    Dict          =   0
 UpperCamelCase__					:    Union[str, Any]          =   image.load()
 for i in range(SCREAMING_SNAKE_CASE     ):
  for j in range(SCREAMING_SNAKE_CASE     ):
   UpperCamelCase__					:    Tuple          =   pixels[j, i]
   mean += pixel
 mean //= width * height

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


if __name__ == "__main__":
 __UpperCamelCase       :       Dict						       =				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

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

def 			_a  (				SCREAMING_SNAKE_CASE	:				str = "mumbai"     ):







 """simple docstring"""



 UpperCamelCase__					:    Optional[int]          =   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'''}     ):
  UpperCamelCase__					:    Optional[Any]          =   job.find('''a'''    , attrs={'''data-tn-element''': '''jobTitle'''}     ).text.strip()
  UpperCamelCase__					:    Union[str, Any]          =   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]}")


