
"""simple docstring"""





from __future__ import annotations

import numpy as np
def 				A_  (__a					):

					'''simple docstring'''





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

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


UpperCamelCase_       :    Dict						      =			{
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
		from .config import (
		    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
		    OnnxConfig,
		    OnnxConfigWithPast,
		    OnnxSeqaSeqConfigWithPast,
		    PatchingSpec,
		)
		from .convert import export, validate_model_outputs
		from .features import FeaturesManager
		from .utils import ParameterFormat, compute_serialized_parameters_size

else:
		import sys

		UpperCamelCase_       :    List[Any]						      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




