

'''simple docstring'''

import numpy as np
from numpy import floataa
from numpy.typing import NDArray

def      __magic_name__							(			A       , A				)      ->		NDArray[floataa]:
	snake_case			,			snake_case							=					np.shape(A				)

	snake_case							=					np.zeros((rows, 1)       , dtype=A				)
	for row in reversed(range(A				)				):
		snake_case							=					0
		for col in range(row + 1       , A				):
			total += coefficients[row, col] * x[col]

		snake_case							=					(vector[row] - total) / coefficients[row, row]

	return x

def      __magic_name__							(			A       , A				)      ->		NDArray[floataa]:
	snake_case			,			snake_case							=					np.shape(A				)
	if rows != columns:
		return np.array(()       , dtype=A				)

	# augmented matrix
	snake_case							=					np.concatenate((coefficients, vector)       , axis=1				)
	snake_case							=					augmented_mat.astype('float64'				)

	# scale the matrix leaving it triangular
	for row in range(rows - 1				):
		snake_case							=					augmented_mat[row, row]
		for col in range(row + 1       , A				):
			snake_case							=					augmented_mat[col, row] / pivot
			augmented_mat[col, :] -= factor * augmented_mat[row, :]

	snake_case							=					retroactive_resolution(
	    augmented_mat[:, 0:columns]       , augmented_mat[:, columns : columns + 1]				)

	return x


if __name__ == "__main__":
						import doctest

						doctest.testmod()










'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


SCREAMING_SNAKE_CASE__     : Dict				=   logging.get_logger(__name__)




class 				__lowerCAmelCase(							lowerCAmelCase__      ):






			def __init__(   self  :							List[Any]      ,       *SCREAMING_SNAKE_CASE  :							int      ,       **SCREAMING_SNAKE_CASE  :							Optional[int]	):




					"""simple docstring"""







					warnings.warn(
					    'The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use MaskFormerImageProcessor instead.'      ,       SCREAMING_SNAKE_CASE      ,       )
					super().__init__(*SCREAMING_SNAKE_CASE      ,       **SCREAMING_SNAKE_CASE	)
