




'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		int = 50						)   ->     Any:
							UpperCAmelCase				: Optional[int]											=	[1] * (length + 1)

							for row_length in range(length + 1						):
														for tile_length in range(2     ,   5						):
																					for tile_start in range(row_length - tile_length + 1						):
																												ways_number[row_length] += ways_number[
																												    row_length - tile_start - tile_length
																												]

							return ways_number[length]


if __name__ == "__main__":
						print(F"{solution() = }")










'''simple docstring'''






from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

UpperCamelCase__:     Union[str, Any]										=    "https://www.indeed.co.in/jobs?q=mobile+app+development&l="


def 				snake_case_  (      _lowerCAmelCase						:		str = "mumbai"						)   ->     Generator[tuple[str, str], None, None]:
							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				: int											=	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]}")





