

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

import requests


def  a__       (    _SCREAMING_SNAKE_CASE   :       str = "isbn/0140328726"				)     ->					Any:


	"""simple docstring"""





	UpperCAmelCase_     :      List[str]						=  olid.strip().strip("/"				)  # Remove leading/trailing whitespace & slashes
	if new_olid.count("/"				) != 1:
		UpperCAmelCase_     :      str						=  F'''{olid} is not a valid Open Library olid'''
		raise ValueError(snake_case__				)
	return requests.get(F'''https://openlibrary.org/{new_olid}.json'''				).json()


def  a__       (    _SCREAMING_SNAKE_CASE   :       List[Any]				)     ->					Dict:


	"""simple docstring"""





	UpperCAmelCase_     :      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)",
	}
	UpperCAmelCase_     :      Any						=  {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
	UpperCAmelCase_     :      Optional[Any]						=  [
	    get_openlibrary_data(author["key"]				)["name"] for author in data["Authors"]
	]
	UpperCAmelCase_     :      str						=  data["First sentence"]["value"]
	for key, value in data.items():
		if isinstance(snake_case__	,				snake_case__				):
			UpperCAmelCase_     :      Optional[Any]						=  ", ".join(snake_case__				)
	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 logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A_				:      Optional[Any]           =			logging.getLogger(__name__)





@dataclass
class  lowerCamelCase    (A__      ):
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=0.0      ,metadata={'help': 'The label smoothing epsilon to apply (if not zero).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'Whether to SortishSamler or not.'}      )
			lowerCamelCase__ :		bool       		=				field(
			    default=A__      ,metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}      )
			lowerCamelCase__ :		bool       		=				field(default=A__      ,metadata={'help': 'whether to use adafactor'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(default=A__      ,metadata={'help': 'Dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[float]       		=				field(
			    default=A__      ,metadata={'help': 'Attention dropout probability. Goes into model.config.'}      )
			lowerCamelCase__ :		Optional[str]       		=				field(
			    default='linear'      ,metadata={'help': f"Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()      )}"}      ,)


