





from __future__ import annotations

from typing import Any




def  A_(      *A ):
	if all(_check_not_integer(A ) for m in matrix_s ):
		for i in matrix_s[1:]:
			_verify_matrix_sizes(matrix_s[0]					,   A )
		return [[sum(A ) for t in zip(*A )] for m in zip(*A )]
	raise TypeError("""Expected a matrix, got int/list instead""" )




def  A_(      A					,   A ):
	if (
	    _check_not_integer(A )
	    and _check_not_integer(A )
	    and _verify_matrix_sizes(A					,   A )
	):
		return [[i - j for i, j in zip(*A )] for m in zip(A					,   A )]
	raise TypeError("""Expected a matrix, got int/list instead""" )




def  A_(      A					,   A ):
	return [[x * n for x in row] for row in matrix]




def  A_(      A					,   A ):
	if _check_not_integer(A ) and _check_not_integer(A ):
		UpperCAmelCase_    ,						UpperCAmelCase_		    =  _verify_matrix_sizes(A					,   A )

	if cols[0] != rows[1]:
		UpperCAmelCase_		    =  (
		    """Cannot multiply matrix of dimensions """
		    f"""({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"""
		)
		raise ValueError(A )
	return [
	    [sum(m * n for m, n in zip(A					,   A ) ) for j in zip(*A )] for i in matrix_a
	]




def  A_(      A ):
	UpperCAmelCase_		    =  int(A )
	return [[int(row == column ) for column in range(A )] for row in range(A )]




def  A_(      A					,   A = True ):
	if _check_not_integer(A ):
		if return_map:
			return map(A					,   zip(*A ) )
		else:
			return list(map(A					,   zip(*A ) ) )
	raise TypeError("""Expected a matrix, got int/list instead""" )




def  A_(      A					,   A					,   A ):
	UpperCAmelCase_		    =  matrix[:row] + matrix[row + 1 :]
	return [row[:column] + row[column + 1 :] for row in minor]




def  A_(      A ):
	if len(A ) == 1:
		return matrix[0][0]

	return sum(
	    x * determinant(minor(A					,   0					,   A ) ) * (-1) ** i
	    for i, x in enumerate(matrix[0] ) )




def  A_(      A ):
	UpperCAmelCase_		    =  determinant(A )
	if det == 0:
		return None

	UpperCAmelCase_		    =  [
	    [determinant(minor(A					,   A					,   A ) ) for j in range(len(A ) )]
	    for i in range(len(A ) )
	]

	UpperCAmelCase_		    =  [
	    [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row] )]
	    for row in range(len(A ) )
	]
	UpperCAmelCase_		    =  list(transpose(A ) )
	return scalar_multiply(A					,   1 / det )




def  A_(      A ):
	return not isinstance(A					,   A ) and not isinstance(matrix[0]					,   A )




def  A_(      A ):
	return len(A ), len(matrix[0] )




def  A_(      A					,   A ):
	UpperCAmelCase_		    =  _shape(A ) + _shape(A )
	if shape[0] != shape[3] or shape[1] != shape[2]:
		UpperCAmelCase_		    =  (
		    """operands could not be broadcast together with shape """
		    f"""({shape[0], shape[1]}), ({shape[2], shape[3]})"""
		)
		raise ValueError(A )
	return (shape[0], shape[2]), (shape[1], shape[3])




def  A_(      ):
	UpperCAmelCase_		    =  [[12, 10], [3, 9]]
	UpperCAmelCase_		    =  [[3, 4], [7, 4]]
	UpperCAmelCase_		    =  [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
	UpperCAmelCase_		    =  [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
	print(f"""Add Operation, {add(A					,   A ) = } \n""" )
	print(
	    f"""Multiply Operation, {multiply(A					,   A ) = } \n"""					,   )
	print(f"""Identity: {identity(5 )}\n""" )
	print(f"""Minor of {matrix_c} = {minor(A					,   1					,   2 )} \n""" )
	print(f"""Determinant of {matrix_b} = {determinant(A )} \n""" )
	print(f"""Inverse of {matrix_d} = {inverse(A )}\n""" )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__ :			Union[str, Any]       	=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__ :			int       	=			[
				    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """MobileViTV2ForImageClassification""",
				    """MobileViTV2ForSemanticSegmentation""",
				    """MobileViTV2Model""",
				    """MobileViTV2PreTrainedModel""",
				]

if TYPE_CHECKING:
				from .configuration_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    MobileViTVaConfig,
				    MobileViTVaOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mobilevitva import (
								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MobileViTVaForImageClassification,
								    MobileViTVaForSemanticSegmentation,
								    MobileViTVaModel,
								    MobileViTVaPreTrainedModel,
								)

else:
				import sys

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


