





from __future__ import annotations

from decimal import Decimal

from numpy import array





def lowerCAmelCase__(__snake_case							)				->      list[list[float]]:







	'''simple docstring'''







	lowerCamelCase__								=		Decimal

	# Check if the provided matrix has 2 rows and 2 columns
	# since this implementation only works for 2x2 matrices
	if len(__snake_case							) == 2 and len(matrix[0]							) == 2 and len(matrix[1]							) == 2:
		# Calculate the determinant of the matrix
		lowerCamelCase__								=		float(
		    d(matrix[0][0]							) * d(matrix[1][1]							) - d(matrix[1][0]							) * d(matrix[0][1]							)							)
		if determinant == 0:
			raise ValueError('''This matrix has no inverse.'''							)

		# Creates a copy of the matrix with swapped positions of the elements
		lowerCamelCase__								=		[[0.0, 0.0], [0.0, 0.0]]
		lowerCamelCase__				,	lowerCamelCase__								=		matrix[1][1], matrix[0][0]
		lowerCamelCase__				,	lowerCamelCase__								=		-matrix[1][0], -matrix[0][1]

		# Calculate the inverse of the matrix
		return [
		    [(float(d(__snake_case							)							) / determinant) or 0.0 for n in row] for row in swapped_matrix
		]
	elif (
	    len(__snake_case							) == 3
	    and len(matrix[0]							) == 3
	    and len(matrix[1]							) == 3
	    and len(matrix[2]							) == 3
	):
		# Calculate the determinant of the matrix using Sarrus rule
		lowerCamelCase__								=		float(
		    (
		        (d(matrix[0][0]							) * d(matrix[1][1]							) * d(matrix[2][2]							))
		        + (d(matrix[0][1]							) * d(matrix[1][2]							) * d(matrix[2][0]							))
		        + (d(matrix[0][2]							) * d(matrix[1][0]							) * d(matrix[2][1]							))
		    )
		    - (
		        (d(matrix[0][2]							) * d(matrix[1][1]							) * d(matrix[2][0]							))
		        + (d(matrix[0][1]							) * d(matrix[1][0]							) * d(matrix[2][2]							))
		        + (d(matrix[0][0]							) * d(matrix[1][2]							) * d(matrix[2][1]							))
		    )							)
		if determinant == 0:
			raise ValueError('''This matrix has no inverse.'''							)

		# Creating cofactor matrix
		lowerCamelCase__								=		[
		    [d(0.0							), d(0.0							), d(0.0							)],
		    [d(0.0							), d(0.0							), d(0.0							)],
		    [d(0.0							), d(0.0							), d(0.0							)],
		]
		lowerCamelCase__								=		(d(matrix[1][1]							) * d(matrix[2][2]							)) - (
		    d(matrix[1][2]							) * d(matrix[2][1]							)
		)
		lowerCamelCase__								=		-(
		    (d(matrix[1][0]							) * d(matrix[2][2]							)) - (d(matrix[1][2]							) * d(matrix[2][0]							))
		)
		lowerCamelCase__								=		(d(matrix[1][0]							) * d(matrix[2][1]							)) - (
		    d(matrix[1][1]							) * d(matrix[2][0]							)
		)
		lowerCamelCase__								=		-(
		    (d(matrix[0][1]							) * d(matrix[2][2]							)) - (d(matrix[0][2]							) * d(matrix[2][1]							))
		)
		lowerCamelCase__								=		(d(matrix[0][0]							) * d(matrix[2][2]							)) - (
		    d(matrix[0][2]							) * d(matrix[2][0]							)
		)
		lowerCamelCase__								=		-(
		    (d(matrix[0][0]							) * d(matrix[2][1]							)) - (d(matrix[0][1]							) * d(matrix[2][0]							))
		)
		lowerCamelCase__								=		(d(matrix[0][1]							) * d(matrix[1][2]							)) - (
		    d(matrix[0][2]							) * d(matrix[1][1]							)
		)
		lowerCamelCase__								=		-(
		    (d(matrix[0][0]							) * d(matrix[1][2]							)) - (d(matrix[0][2]							) * d(matrix[1][0]							))
		)
		lowerCamelCase__								=		(d(matrix[0][0]							) * d(matrix[1][1]							)) - (
		    d(matrix[0][1]							) * d(matrix[1][0]							)
		)

		# Transpose the cofactor matrix (Adjoint matrix)
		lowerCamelCase__								=		array(__snake_case							)
		for i in range(3							):
			for j in range(3							):
				lowerCamelCase__								=		cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
		lowerCamelCase__								=		array(__snake_case							)
		for i in range(3							):
			for j in range(3							):
				inverse_matrix[i][j] /= d(__snake_case							)

        # Calculate the inverse of the matrix
		return [[float(d(__snake_case							)							) or 0.0 for n in row] for row in inverse_matrix]
	raise ValueError('''Please provide a matrix of size 2x2 or 3x3.'''							)










from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a 						=      logging.get_logger(__name__)

_a 						=      {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						"""camembert"""





			def __init__(    self       ,  __lowerCAmelCase=3_0_5_2_2       ,  __lowerCAmelCase=7_6_8       ,  __lowerCAmelCase=1_2       ,  __lowerCAmelCase=1_2       ,  __lowerCAmelCase=3_0_7_2       ,  __lowerCAmelCase="gelu"       ,  __lowerCAmelCase=0.1       ,  __lowerCAmelCase=0.1       ,  __lowerCAmelCase=5_1_2       ,  __lowerCAmelCase=2       ,  __lowerCAmelCase=0.02       ,  __lowerCAmelCase=1E-12       ,  __lowerCAmelCase=1       ,  __lowerCAmelCase=0       ,  __lowerCAmelCase=2       ,  __lowerCAmelCase="absolute"       ,  __lowerCAmelCase=True       ,  __lowerCAmelCase=None       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				super().__init__(pad_token_id=__lowerCAmelCase       ,  bos_token_id=__lowerCAmelCase       ,  eos_token_id=__lowerCAmelCase       ,  **__lowerCAmelCase							)

				lowerCamelCase__								=		vocab_size
				lowerCamelCase__								=		hidden_size
				lowerCamelCase__								=		num_hidden_layers
				lowerCamelCase__								=		num_attention_heads
				lowerCamelCase__								=		hidden_act
				lowerCamelCase__								=		intermediate_size
				lowerCamelCase__								=		hidden_dropout_prob
				lowerCamelCase__								=		attention_probs_dropout_prob
				lowerCamelCase__								=		max_position_embeddings
				lowerCamelCase__								=		type_vocab_size
				lowerCamelCase__								=		initializer_range
				lowerCamelCase__								=		layer_norm_eps
				lowerCamelCase__								=		position_embedding_type
				lowerCamelCase__								=		use_cache
				lowerCamelCase__								=		classifier_dropout






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			@property
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				if self.task == "multiple-choice":
					lowerCamelCase__								=		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
				else:
					lowerCamelCase__								=		{0: '''batch''', 1: '''sequence'''}
				return OrderedDict(
				    [
				        ('''input_ids''', dynamic_axis),
				        ('''attention_mask''', dynamic_axis),
				    ]							)



