




from __future__ import annotations

from decimal import Decimal

from numpy import array

def  UpperCAmelCase_							(				__UpperCAmelCase						:     list[list[float]]							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      Decimal

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

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

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

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

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





from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str = "isbn/0140328726"							) ->			dict:
      SCREAMING_SNAKE_CASE_     						=      olid.strip().strip('/'							)  # Remove leading/trailing whitespace & slashes
      if new_olid.count('/'							) != 1:
            SCREAMING_SNAKE_CASE_     						=      f"{olid} is not a valid Open Library olid"
            raise ValueError(__UpperCAmelCase							)
      return requests.get(f"https://openlibrary.org/{new_olid}.json"							).json()

def  UpperCAmelCase_							(				__UpperCAmelCase						:     dict							) ->			dict:
      SCREAMING_SNAKE_CASE_     						=      {
          'title': 'Title',
          'publish_date': 'Publish date',
          'authors': 'Authors',
          'number_of_pages': 'Number of pages:',
          'first_sentence': 'First sentence',
          'isbn_10': 'ISBN (10)',
          'isbn_13': 'ISBN (13)',
      }
      SCREAMING_SNAKE_CASE_     						=      {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
      SCREAMING_SNAKE_CASE_     						=      [
          get_openlibrary_data(author['key']							)['name'] for author in data['Authors']
      ]
      SCREAMING_SNAKE_CASE_     						=      data['First sentence']['value']
      for key, value in data.items():
            if isinstance(__UpperCAmelCase      ,      __UpperCAmelCase							):
                  SCREAMING_SNAKE_CASE_     						=      ', '.join(__UpperCAmelCase							)
      return data


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   while True:
      lowerCamelCase__			:       Optional[Any]         =							input('\nEnter the ISBN code to search (or \'quit\' to stop): ').strip()
      if isbn.lower() in ("", "q", "quit", "exit", "stop"):
         break

      if len(isbn) not in (10, 13) or not isbn.isdigit():
         print(f'''Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.''')
         continue

      print(f'''\nSearching Open Library for ISBN: {isbn}...\n''')

      try:
         lowerCamelCase__			:       Union[str, Any]         =							summarize_book(get_openlibrary_data(f'''isbn/{isbn}'''))
         print('\n'.join(f'''{key}: {value}''' for key, value in book_summary.items()))
      except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
         print(f'''Sorry, there are no results for ISBN: {isbn}.''')