






"""simple docstring"""





from __future__ import annotations

import numpy as np
def        a__     (				lowerCAmelCase__				):
      UpperCAmelCase_			,   UpperCAmelCase_      			=							np.shape(lowerCAmelCase__				)
      if rows != columns:
            UpperCAmelCase_      			=							(
                "'table' has to be of square shaped array but got a "
                f"""{rows}x{columns} array:\n{table}"""
            )
            raise ValueError(lowerCAmelCase__				)

      UpperCAmelCase_      			=							np.zeros((rows, columns)				)
      UpperCAmelCase_      			=							np.zeros((rows, columns)				)
      for i in range(lowerCAmelCase__				):
            for j in range(lowerCAmelCase__				):
                  UpperCAmelCase_      			=							sum(lower[i][k] * upper[k][j] for k in range(lowerCAmelCase__				)				)
                  if upper[j][j] == 0:
                        raise ArithmeticError("No LU decomposition exists"				)
                  UpperCAmelCase_      			=							(table[i][j] - total) / upper[j][j]
            UpperCAmelCase_      			=							1
            for j in range(lowerCAmelCase__     ,      lowerCAmelCase__				):
                  UpperCAmelCase_      			=							sum(lower[i][k] * upper[k][j] for k in range(lowerCAmelCase__				)				)
                  UpperCAmelCase_      			=							table[i][j] - total
      return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()









"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


lowerCamelCase       	=						logging.get_logger(__name__)
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  List[Any]		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						None:


             '''simple docstring'''




             warnings.warn(
                 "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                 " use FlavaImageProcessor instead."		,    _UpperCAmelCase		,    )
             super().__init__(*_UpperCAmelCase		,    **_UpperCAmelCase   )




