
from __future__ import annotations

from decimal import Decimal

from numpy import array



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					lowercase					=		Decimal

					# Check if the provided matrix has 2 rows and 2 columns
					# since this implementation only works for 2x2 matrices
					if len(lowerCAmelCase__	) == 2 and len(matrix[0]	) == 2 and len(matrix[1]	) == 2:
										# Calculate the determinant of the matrix
										lowercase					=		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
										lowercase					=		[[0.0, 0.0], [0.0, 0.0]]
										lowercase			,		lowercase					=		matrix[1][1], matrix[0][0]
										lowercase			,		lowercase					=		-matrix[1][0], -matrix[0][1]

										# Calculate the inverse of the matrix
										return [
										    [(float(d(lowerCAmelCase__	)	) / determinant) or 0.0 for n in row] for row in swapped_matrix
										]
					elif (
					    len(lowerCAmelCase__	) == 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
										lowercase					=		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
										lowercase					=		[
										    [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	)],
										]
										lowercase					=		(d(matrix[1][1]	) * d(matrix[2][2]	)) - (
										    d(matrix[1][2]	) * d(matrix[2][1]	)
										)
										lowercase					=		-(
										    (d(matrix[1][0]	) * d(matrix[2][2]	)) - (d(matrix[1][2]	) * d(matrix[2][0]	))
										)
										lowercase					=		(d(matrix[1][0]	) * d(matrix[2][1]	)) - (
										    d(matrix[1][1]	) * d(matrix[2][0]	)
										)
										lowercase					=		-(
										    (d(matrix[0][1]	) * d(matrix[2][2]	)) - (d(matrix[0][2]	) * d(matrix[2][1]	))
										)
										lowercase					=		(d(matrix[0][0]	) * d(matrix[2][2]	)) - (
										    d(matrix[0][2]	) * d(matrix[2][0]	)
										)
										lowercase					=		-(
										    (d(matrix[0][0]	) * d(matrix[2][1]	)) - (d(matrix[0][1]	) * d(matrix[2][0]	))
										)
										lowercase					=		(d(matrix[0][1]	) * d(matrix[1][2]	)) - (
										    d(matrix[0][2]	) * d(matrix[1][1]	)
										)
										lowercase					=		-(
										    (d(matrix[0][0]	) * d(matrix[1][2]	)) - (d(matrix[0][2]	) * d(matrix[1][0]	))
										)
										lowercase					=		(d(matrix[0][0]	) * d(matrix[1][1]	)) - (
										    d(matrix[0][1]	) * d(matrix[1][0]	)
										)

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

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

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






import logging

from transformers import PretrainedConfig


lowercase__	:int										=					logging.getLogger(__name__)


lowercase__	:Dict										=					{
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Optional[int]       ='''bertabs'''




							def __init__(       self     ,A__=3_0_5_2_2     ,A__=5_1_2     ,A__=6     ,A__=5_1_2     ,A__=8     ,A__=5_1_2     ,A__=0.2     ,A__=6     ,A__=7_6_8     ,A__=8     ,A__=2_0_4_8     ,A__=0.2     ,**A__     ,):
												super().__init__(**A__)

												lowercase					=		vocab_size
												lowercase					=		max_pos

												lowercase					=		enc_layers
												lowercase					=		enc_hidden_size
												lowercase					=		enc_heads
												lowercase					=		enc_ff_size
												lowercase					=		enc_dropout

												lowercase					=		dec_layers
												lowercase					=		dec_hidden_size
												lowercase					=		dec_heads
												lowercase					=		dec_ff_size
												lowercase					=		dec_dropout




