






from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

__a:     Dict   					=					'''https://www.indeed.co.in/jobs?q=mobile+app+development&l='''




def       _SCREAMING_SNAKE_CASE (							__snake_case = "mumbai" )				->						Generator[tuple[str, str], None, None]:
       _UpperCAmelCase							=    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							=    job.find("""a"""   ,      attrs={"""data-tn-element""": """jobTitle"""} ).text.strip()
              _UpperCAmelCase							=    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]}")




'''simple docstring'''

def a_     (    __UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase					)				->					list:





			"""simple docstring"""







			snake_case:    Optional[int]      							=len(__UpperCAmelCase					)
			snake_case:    Optional[int]      							=[[0] * n for i in range(__UpperCAmelCase					)]
			for i in range(__UpperCAmelCase					):
						snake_case:    Optional[int]      							=y_points[i]

			for i in range(2				,							__UpperCAmelCase					):
						for j in range(__UpperCAmelCase				,							__UpperCAmelCase					):
									snake_case:    List[str]      							=(
									    (xa - x_points[j - i + 1]) * q[j][i - 1]
									    - (xa - x_points[j]) * q[j - 1][i - 1]
									) / (x_points[j] - x_points[j - i + 1])

			return [q[n - 1][n - 1], q]


if __name__ == "__main__":
	import doctest

	doctest.testmod()




