




'''simple docstring'''






import unittest

import numpy as np


def 				snake_case_  (      _lowerCAmelCase						:		np.ndarray     ,   _lowerCAmelCase						:		np.ndarray     ,   _lowerCAmelCase						:		np.ndarray     ,   _lowerCAmelCase						:		np.ndarray | None = None     ,   )   ->     np.ndarray:
							UpperCAmelCase				: List[Any]											=	np.shape(_lowerCAmelCase						)
							UpperCAmelCase				: Any											=	np.shape(_lowerCAmelCase						)
							UpperCAmelCase				: int											=	np.shape(_lowerCAmelCase						)

							if shape_a[0] != shape_b[0]:
														UpperCAmelCase				: Optional[Any]											=	(
														    '''Expected the same number of rows for A and B. '''
														    f"""Instead found A of size {shape_a} and B of size {shape_b}"""
														)
														raise ValueError(_lowerCAmelCase						)

							if shape_b[1] != shape_c[1]:
														UpperCAmelCase				: List[Any]											=	(
														    '''Expected the same number of columns for B and C. '''
														    f"""Instead found B of size {shape_b} and C of size {shape_c}"""
														)
														raise ValueError(_lowerCAmelCase						)

							UpperCAmelCase				: Union[str, Any]											=	pseudo_inv
							if a_inv is None:
														try:
																					UpperCAmelCase				: Optional[int]											=	np.linalg.inv(_lowerCAmelCase						)
														except np.linalg.LinAlgError:
																					raise ValueError(
																					    '''Input matrix A is not invertible. Cannot compute Schur complement.'''						)

							return mat_c - mat_b.T @ a_inv @ mat_b

class        SCREAMING_SNAKE_CASE(							unittest.TestCase    ):







	"""simple docstring"""






	def   A			(		self    :  Tuple	)    ->	None:
								UpperCAmelCase				: Tuple											=	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]	)
								UpperCAmelCase				: Any											=	np.array([[0, 3], [3, 0], [2, 3]]	)
								UpperCAmelCase				: List[Any]											=	np.array([[2, 1], [6, 3]]	)

								UpperCAmelCase				: int											=	schur_complement(__snake_case	,    __snake_case	,    __snake_case	)

								UpperCAmelCase				: Union[str, Any]											=	np.block([[a, b], [b.T, c]]	)

								UpperCAmelCase				: Optional[Any]											=	np.linalg.det(__snake_case	)
								UpperCAmelCase				: Any											=	np.linalg.det(__snake_case	)
								UpperCAmelCase				: str											=	np.linalg.det(__snake_case	)

								self.assertAlmostEqual(__snake_case	,    det_a * det_s	)







	def   A			(		self    :  int	)    ->	None:
								UpperCAmelCase				: Dict											=	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]	)
								UpperCAmelCase				: List[Any]											=	np.array([[0, 3], [3, 0], [2, 3]]	)
								UpperCAmelCase				: int											=	np.array([[2, 1], [6, 3]]	)

								with self.assertRaises(__snake_case	):
															schur_complement(__snake_case	,    __snake_case	,    __snake_case	)







	def   A			(		self    :  Optional[int]	)    ->	None:
								UpperCAmelCase				: List[Any]											=	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]	)
								UpperCAmelCase				: Union[str, Any]											=	np.array([[0, 3], [3, 0], [2, 3]]	)
								UpperCAmelCase				: Optional[Any]											=	np.array([[2, 1, 3], [6, 3, 5]]	)

								with self.assertRaises(__snake_case	):
															schur_complement(__snake_case	,    __snake_case	,    __snake_case	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						unittest.main()










'''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]}")





