






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase  							= {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							= ["MarianTokenizer"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							= [
	    "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "MarianForCausalLM",
	    "MarianModel",
	    "MarianMTModel",
	    "MarianPreTrainedModel",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							= ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							= ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
	from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_marian import MarianTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_marian import (
		    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MarianForCausalLM,
		    MarianModel,
		    MarianMTModel,
		    MarianPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
	import sys

	lowercase  							= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)













from __future__ import annotations

from typing import Any





def 						__UpperCAmelCase      (					*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 						__UpperCAmelCase      (					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 						__UpperCAmelCase      (					a_							,					a_):
							return [[x * n for x in row] for row in matrix]





def 						__UpperCAmelCase      (					a_							,					a_):
							if _check_not_integer(a_) and _check_not_integer(a_):
														snake_case_      ,		snake_case_           =							_verify_matrix_sizes(a_							,					a_)

							if cols[0] != rows[1]:
														snake_case_           =							(
														    '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 						__UpperCAmelCase      (					a_):
							snake_case_           =							int(a_)
							return [[int(row == column) for column in range(a_)] for row in range(a_)]





def 						__UpperCAmelCase      (					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 						__UpperCAmelCase      (					a_							,					a_							,					a_):
							snake_case_           =							matrix[:row] + matrix[row + 1 :]
							return [row[:column] + row[column + 1 :] for row in minor]





def 						__UpperCAmelCase      (					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 						__UpperCAmelCase      (					a_):
							snake_case_           =							determinant(a_)
							if det == 0:
														return None

							snake_case_           =							[
							    [determinant(minor(a_							,					a_							,					a_)) for j in range(len(a_))]
							    for i in range(len(a_))
							]

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





def 						__UpperCAmelCase      (					a_):
							return not isinstance(a_							,					a_) and not isinstance(matrix[0]							,					a_)





def 						__UpperCAmelCase      (					a_):
							return len(a_), len(matrix[0])





def 						__UpperCAmelCase      (					a_							,					a_):
							snake_case_           =							_shape(a_) + _shape(a_)
							if shape[0] != shape[3] or shape[1] != shape[2]:
														snake_case_           =							(
														    '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 						__UpperCAmelCase      (					):
							snake_case_           =							[[12, 10], [3, 9]]
							snake_case_           =							[[3, 4], [7, 4]]
							snake_case_           =							[[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
							snake_case_           =							[[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()





