




from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_		:				Tuple									=     logging.get_logger(__name__)

UpperCAmelCase_		:				List[str]									=     {
    "microsoft/trocr-base-handwritten": (
        "https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}




class 		__A      (			__UpperCAmelCase			):
						UpperCamelCase     						=					"""trocr"""
						UpperCamelCase     						=					["""past_key_values"""]
						UpperCamelCase     						=					{
						    """num_attention_heads""": """decoder_attention_heads""",
						    """hidden_size""": """d_model""",
						    """num_hidden_layers""": """decoder_layers""",
						}

						def __init__(		self   :Optional[Any]    , __snake_case   :Optional[Any]=5_02_65    , __snake_case   :List[str]=10_24    , __snake_case   :Tuple=12    , __snake_case   :Dict=16    , __snake_case   :Optional[int]=40_96    , __snake_case   :List[str]="gelu"    , __snake_case   :Tuple=5_12    , __snake_case   :str=0.1    , __snake_case   :List[str]=0.0    , __snake_case   :List[Any]=0.0    , __snake_case   :str=2    , __snake_case   :int=0.02    , __snake_case   :Tuple=0.0    , __snake_case   :List[str]=True    , __snake_case   :str=False    , __snake_case   :str=True    , __snake_case   :str=True    , __snake_case   :Union[str, Any]=1    , __snake_case   :int=0    , __snake_case   :Any=2    , **__snake_case   :Dict    , ):
										'''simple docstring'''

										__magic_name__	:	Any								=vocab_size
										__magic_name__	:	Any								=d_model
										__magic_name__	:	Dict								=decoder_layers
										__magic_name__	:	Dict								=decoder_attention_heads
										__magic_name__	:	str								=decoder_ffn_dim
										__magic_name__	:	Any								=activation_function
										__magic_name__	:	Optional[int]								=max_position_embeddings
										__magic_name__	:	Any								=dropout
										__magic_name__	:	Tuple								=attention_dropout
										__magic_name__	:	Tuple								=activation_dropout
										__magic_name__	:	Any								=init_std
										__magic_name__	:	List[str]								=decoder_layerdrop
										__magic_name__	:	List[str]								=use_cache
										__magic_name__	:	str								=scale_embedding
										__magic_name__	:	Any								=use_learned_position_embeddings
										__magic_name__	:	Optional[Any]								=layernorm_embedding

										super().__init__(
										    pad_token_id=UpperCAmelCase_    , bos_token_id=UpperCAmelCase_    , eos_token_id=UpperCAmelCase_    , decoder_start_token_id=UpperCAmelCase_    , **UpperCAmelCase_    , )










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

import requests




def 		lowerCAmelCase_   (	lowerCamelCase = "isbn/0140328726"   ):
				__magic_name__	:	Optional[Any]								=olid.strip().strip("""/"""   )  # Remove leading/trailing whitespace & slashes
				if new_olid.count("""/"""   ) != 1:
								__magic_name__	:	Union[str, Any]								=F"{olid} is not a valid Open Library olid"
								raise ValueError(lowerCamelCase   )
				return requests.get(F"https://openlibrary.org/{new_olid}.json"   ).json()




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


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							while True:
														UpperCAmelCase_		:				List[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_		:				str									=     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}.""")




