






"""simple docstring"""
from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests

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

def 							snake_case (  A__		):
			UpperCAmelCase_	:					Tuple     	=   {
			    "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)",
			}
			UpperCAmelCase_	:					Optional[int]     	=   {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
			UpperCAmelCase_	:					Tuple     	=   [
			    get_openlibrary_data(author["key"]		)["name"] for author in data["Authors"]
			]
			UpperCAmelCase_	:					Optional[int]     	=   data["First sentence"]["value"]
			for key, value in data.items():
						if isinstance(A__      ,A__		):
									UpperCAmelCase_	:					Dict     	=   ", ".join(A__		)
			return data


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			while True:
						lowerCamelCase_							      = 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_							      = 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"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_camembert import CamembertTokenizer
else:
			lowerCamelCase_							      = None


lowerCamelCase_							      = logging.get_logger(__name__)

lowerCamelCase_							      = {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_							      = {
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/tokenizer.json''',
    },
}

lowerCamelCase_							      = {
    '''camembert-base''': 512,
}

lowerCamelCase_							      = '''▁'''







class      UpperCamelCase_			(__A	):
	__magic_name__       =							VOCAB_FILES_NAMES
	__magic_name__       =							PRETRAINED_VOCAB_FILES_MAP
	__magic_name__       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__       =							['''input_ids''', '''attention_mask''']
	__magic_name__       =							CamembertTokenizer





	def __init__( self   :					Tuple      ,      lowerCAmelCase_   :					List[str]=None      ,      lowerCAmelCase_   :					Optional[int]=None      ,      lowerCAmelCase_   :					Optional[int]="<s>"      ,      lowerCAmelCase_   :					Dict="</s>"      ,      lowerCAmelCase_   :					Any="</s>"      ,      lowerCAmelCase_   :					Union[str, Any]="<s>"      ,      lowerCAmelCase_   :					int="<unk>"      ,      lowerCAmelCase_   :					Union[str, Any]="<pad>"      ,      lowerCAmelCase_   :					Union[str, Any]="<mask>"      ,      lowerCAmelCase_   :					Any=["<s>NOTUSED", "</s>NOTUSED"]      ,      **lowerCAmelCase_   :					Any      ,      )		->     Union[str, Any]:
				# Mask token behave like a normal word, i.e. include the space before it
				UpperCAmelCase_	:					Dict     	=   AddedToken(lowerCAmelCase_      ,      lstrip=lowerCAmelCase_      ,      rstrip=lowerCAmelCase_		) if isinstance(lowerCAmelCase_      ,      lowerCAmelCase_		) else mask_token

				super().__init__(
				    lowerCAmelCase_      ,      tokenizer_file=lowerCAmelCase_      ,      bos_token=lowerCAmelCase_      ,      eos_token=lowerCAmelCase_      ,      sep_token=lowerCAmelCase_      ,      cls_token=lowerCAmelCase_      ,      unk_token=lowerCAmelCase_      ,      pad_token=lowerCAmelCase_      ,      mask_token=lowerCAmelCase_      ,      additional_special_tokens=lowerCAmelCase_      ,      **lowerCAmelCase_      ,      )

				UpperCAmelCase_	:					str     	=   vocab_file
				UpperCAmelCase_	:					Optional[Any]     	=   False if not self.vocab_file else True





	def 	_SCREAMING_SNAKE_CASE ( self   :					Union[str, Any]      ,      lowerCAmelCase_   :					List[int]      ,      lowerCAmelCase_   :					Optional[List[int]] = None		)		->     List[int]:

				if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				UpperCAmelCase_	:					Tuple     	=   [self.cls_token_id]
				UpperCAmelCase_	:					Any     	=   [self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[Any]      ,      lowerCAmelCase_   :					List[int]      ,      lowerCAmelCase_   :					Optional[List[int]] = None		)		->     List[int]:
				UpperCAmelCase_	:					List[Any]     	=   [self.sep_token_id]
				UpperCAmelCase_	:					Optional[int]     	=   [self.cls_token_id]

				if token_ids_a is None:
							return len(cls + token_ids_a + sep		) * [0]
				return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple      ,      lowerCAmelCase_   :					str      ,      lowerCAmelCase_   :					Optional[str] = None		)		->     Tuple[str]:
				if not self.can_save_slow_tokenizer:
							raise ValueError(
							    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
							    "tokenizer."		)

				if not os.path.isdir(lowerCAmelCase_		):
							logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
							return
				UpperCAmelCase_	:					Dict     	=   os.path.join(
				    lowerCAmelCase_      ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

				if os.path.abspath(self.vocab_file		) != os.path.abspath(lowerCAmelCase_		):
							copyfile(self.vocab_file      ,      lowerCAmelCase_		)

				return (out_vocab_file,)



