"""simple docstring"""





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

import requests


def       lowercase_      (      _lowerCamelCase:		Optional[int] = "isbn/0140328726"					)       ->					Dict:



							'''simple docstring'''

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


def       lowercase_      (      _lowerCamelCase:		int					)       ->					Tuple:



							'''simple docstring'''

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


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				while True:
								__A     = 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:
												__A     = 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 ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__  :  str						     =	{
    'configuration_mctct': ['MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MCTCTConfig'],
    'feature_extraction_mctct': ['MCTCTFeatureExtractor'],
    'processing_mctct': ['MCTCTProcessor'],
}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  :  Any						     =	[
						    'MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MCTCTForCTC',
						    'MCTCTModel',
						    'MCTCTPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
						from .feature_extraction_mctct import MCTCTFeatureExtractor
						from .processing_mctct import MCTCTProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
						import sys

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



