from __future__ import annotations

from typing import Any
def 					snake_case						(*__lowercase						)       ->       list[list[int]]:

						'''simple docstring'''



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

						'''simple docstring'''



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

						'''simple docstring'''



						return [[x * n for x in row] for row in matrix]
def 					snake_case						(__lowercase					,			__lowercase						)       ->       list[list[int]]:

						'''simple docstring'''



						if _check_not_integer(__lowercase						) and _check_not_integer(__lowercase						):
												_snake_case				,_snake_case						:     Optional[Any]				=    _verify_matrix_sizes(__lowercase					,			__lowercase						)

						if cols[0] != rows[1]:
												_snake_case						:     List[Any]				=    (
												    "Cannot multiply matrix of dimensions "
												    F"""({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"""
												)
												raise ValueError(__lowercase						)
						return [
						    [sum(m * n for m, n in zip(__lowercase					,			__lowercase						)						) for j in zip(*__lowercase						)] for i in matrix_a
						]
def 					snake_case						(__lowercase						)       ->       list[list[int]]:

						'''simple docstring'''



						_snake_case						:     List[Any]				=    int(__lowercase						)
						return [[int(row == column						) for column in range(__lowercase						)] for row in range(__lowercase						)]
def 					snake_case						(__lowercase					,			__lowercase = True						)       ->       list[list[int]] | map[list[int]]:

						'''simple docstring'''



						if _check_not_integer(__lowercase						):
												if return_map:
																		return map(__lowercase					,			zip(*__lowercase						)						)
												else:
																		return list(map(__lowercase					,			zip(*__lowercase						)						)						)
						raise TypeError("Expected a matrix, got int/list instead"						)
def 					snake_case						(__lowercase					,			__lowercase					,			__lowercase						)       ->       list[list[int]]:

						'''simple docstring'''



						_snake_case						:     Union[str, Any]				=    matrix[:row] + matrix[row + 1 :]
						return [row[:column] + row[column + 1 :] for row in minor]
def 					snake_case						(__lowercase						)       ->       Any:

						'''simple docstring'''



						if len(__lowercase						) == 1:
												return matrix[0][0]

						return sum(
						    x * determinant(minor(__lowercase					,			0					,			__lowercase						)						) * (-1) ** i
						    for i, x in enumerate(matrix[0]						)						)
def 					snake_case						(__lowercase						)       ->       list[list[float]] | None:

						'''simple docstring'''



						_snake_case						:     Any				=    determinant(__lowercase						)
						if det == 0:
												return None

						_snake_case						:     Optional[int]				=    [
						    [determinant(minor(__lowercase					,			__lowercase					,			__lowercase						)						) for j in range(len(__lowercase						)						)]
						    for i in range(len(__lowercase						)						)
						]

						_snake_case						:     Union[str, Any]				=    [
						    [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]						)]
						    for row in range(len(__lowercase						)						)
						]
						_snake_case						:     Union[str, Any]				=    list(transpose(__lowercase						)						)
						return scalar_multiply(__lowercase					,			1 / det						)
def 					snake_case						(__lowercase						)       ->       bool:

						'''simple docstring'''



						return not isinstance(__lowercase					,			__lowercase						) and not isinstance(matrix[0]					,			__lowercase						)
def 					snake_case						(__lowercase						)       ->       tuple[int, int]:

						'''simple docstring'''



						return len(__lowercase						), len(matrix[0]						)
def 					snake_case						(__lowercase					,			__lowercase						)       ->       tuple[tuple[int, int], tuple[int, int]]:

						'''simple docstring'''



						_snake_case						:     Optional[int]				=    _shape(__lowercase						) + _shape(__lowercase						)
						if shape[0] != shape[3] or shape[1] != shape[2]:
												_snake_case						:     Dict				=    (
												    "operands could not be broadcast together with shape "
												    F"""({shape[0], shape[1]}), ({shape[2], shape[3]})"""
												)
												raise ValueError(__lowercase						)
						return (shape[0], shape[2]), (shape[1], shape[3])
def 					snake_case						()       ->       None:

						'''simple docstring'''



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


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()



"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
		import torch

		from transformers import CamembertModel
@require_torch
@require_sentencepiece
@require_tokenizers
class snake_case					(     unittest.TestCase):







		@slow
		def        a_       (    self					:				int						)				->  Tuple:





						'''simple docstring'''







						_A         =	CamembertModel.from_pretrained("camembert-base"						)
						model.to(a__						)

						_A         =	torch.tensor(
						    [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]			,      device=a__			,      dtype=torch.long			,      )  # J'aime le camembert !
						with torch.no_grad():
										_A         =	model(a__						)["last_hidden_state"]
						_A         =	torch.Size((1, 10, 7_68)						)
						self.assertEqual(output.shape			,      a__						)
						# compare the actual values for a slice.
						_A         =	torch.tensor(
						    [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]			,      device=a__			,      dtype=torch.float			,      )
						# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
						# camembert.eval()
						# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

						self.assertTrue(torch.allclose(output[:, :3, :3]			,      a__			,      atol=1E-4						)						)