"""simple docstring"""






from __future__ import annotations

from decimal import Decimal

from numpy import array


def      UpperCAmelCase__			(							lowerCAmelCase__	:list[list[float]]						)					->       list[list[float]]:
      '''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."""						)




"""simple docstring"""






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  List[Any]				    =      'philschmid/bart-large-cnn-samsum'
      snake_case__     :  int				    =      (
          'This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '
          'and returns a summary of the text.'
      )
      snake_case__     :  Tuple				    =      'summarizer'
      snake_case__     :  int				    =      AutoTokenizer
      snake_case__     :  Any				    =      AutoModelForSeqaSeqLM

      snake_case__     :  Optional[int]				    =      ['text']
      snake_case__     :  Optional[int]				    =      ['text']

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.pre_processor(__lowerCAmelCase						,			return_tensors="""pt"""						,			truncation=__lowerCAmelCase		)

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.model.generate(**__lowerCAmelCase		)[0]







      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.pre_processor.decode(__lowerCAmelCase						,			skip_special_tokens=__lowerCAmelCase						,			clean_up_tokenization_spaces=__lowerCAmelCase		)



