

'''simple docstring'''




from __future__ import annotations

import numpy as np


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : np.ndarray    ):
  UpperCAmelCase				,   UpperCAmelCase    				=						np.shape(SCREAMING_SNAKE_CASE    )
  if rows != columns:
    UpperCAmelCase    				=						(
        '\'table\' has to be of square shaped array but got a '
        f'''{rows}x{columns} array:\n{table}'''
    )
    raise ValueError(SCREAMING_SNAKE_CASE    )

  UpperCAmelCase    				=						np.zeros((rows, columns)    )
  UpperCAmelCase    				=						np.zeros((rows, columns)    )
  for i in range(SCREAMING_SNAKE_CASE    ):
    for j in range(SCREAMING_SNAKE_CASE    ):
      UpperCAmelCase    				=						sum(lower[i][k] * upper[k][j] for k in range(SCREAMING_SNAKE_CASE    )    )
      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(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    ):
      UpperCAmelCase    				=						sum(lower[i][k] * upper[k][j] for k in range(SCREAMING_SNAKE_CASE    )    )
      UpperCAmelCase    				=						table[i][j] - total
  return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import _LazyModule


_a					:			Tuple							=    {'processing_wav2vec2_with_lm': ['Wav2Vec2ProcessorWithLM']}


if TYPE_CHECKING:
  from .processing_wavaveca_with_lm import WavaVecaProcessorWithLM
else:
  import sys

  _a					:			int							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


