


'''simple docstring'''






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

import requests






def 		_A			(lowerCAmelCase__					:str = "isbn/0140328726"						)				->					dict:




     '''simple docstring'''



     _a      =							olid.strip().strip('/'						)  # Remove leading/trailing whitespace & slashes
     if new_olid.count('/'						) != 1:
          _a      =							f'{olid} is not a valid Open Library olid'
          raise ValueError(lowerCAmelCase__						)
     return requests.get(f'https://openlibrary.org/{new_olid}.json'						).json()






def 		_A			(lowerCAmelCase__					:dict						)				->					dict:




     '''simple docstring'''



     _a      =							{
         '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)',
     }
     _a      =							{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
     _a      =							[
         get_openlibrary_data(author['key']						)['name'] for author in data['Authors']
     ]
     _a      =							data['First sentence']['value']
     for key, value in data.items():
          if isinstance(lowerCAmelCase__			,  lowerCAmelCase__						):
               _a      =							', '.join(lowerCAmelCase__						)
     return data


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 while True:
  a_   :      Union[str, 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 (1_0, 1_3) 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:
   a_   :      Dict				    =      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}.''')





'''simple docstring'''






from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable


a_   :      int				    =      {
    "configuration_gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXJapaneseConfig"],
    "tokenization_gpt_neox_japanese": ["GPTNeoXJapaneseTokenizer"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_   :      List[str]				    =      [
     "GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
     "GPTNeoXJapaneseForCausalLM",
     "GPTNeoXJapaneseLayer",
     "GPTNeoXJapaneseModel",
     "GPTNeoXJapanesePreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
 from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_gpt_neox_japanese import (
      GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
      GPTNeoXJapaneseForCausalLM,
      GPTNeoXJapaneseLayer,
      GPTNeoXJapaneseModel,
      GPTNeoXJapanesePreTrainedModel,
  )


else:
 import sys

 a_   :      int				    =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

