


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

import requests





def   _UpperCAmelCase       (     UpperCAmelCase      :			str = "isbn/0140328726"      ):
      """simple docstring"""




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





def   _UpperCAmelCase       (     UpperCAmelCase      :			dict      ):
      """simple docstring"""




      __lowerCamelCase     :      List[Any]       						=						{
          """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)""",
      }
      __lowerCamelCase     :      Dict       						=						{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
      __lowerCamelCase     :      str       						=						[
          get_openlibrary_data(author["""key"""]      )["""name"""] for author in data["""Authors"""]
      ]
      __lowerCamelCase     :      Dict       						=						data["""First sentence"""]["""value"""]
      for key, value in data.items():
            if isinstance(_SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE      ):
                  __lowerCamelCase     :      int       						=						""", """.join(_SCREAMING_SNAKE_CASE      )
      return data


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    while True:
        __UpperCamelCase    :						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:
            __UpperCamelCase    :						Tuple     =							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}.''')







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase    :						Optional[Any]     =							{
    'configuration_swinv2': ['SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Swinv2Config'],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __UpperCamelCase    :						List[Any]     =							[
        'SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST',
        'Swinv2ForImageClassification',
        'Swinv2ForMaskedImageModeling',
        'Swinv2Model',
        'Swinv2PreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_swinva import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwinvaForImageClassification,
            SwinvaForMaskedImageModeling,
            SwinvaModel,
            SwinvaPreTrainedModel,
        )


else:
    import sys

    __UpperCamelCase    :						List[Any]     =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



