




"""simple docstring"""




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

import requests



def     a__ (				snake_case__ = "isbn/0140328726"				)						->					dict:
			lowerCamelCase			      =					olid.strip().strip("""/"""				)  # Remove leading/trailing whitespace & slashes
			if new_olid.count("""/"""				) != 1:
						lowerCamelCase			      =					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__ (				snake_case__				)						->					dict:
			lowerCamelCase			      =					{
			    """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			      =					{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
			lowerCamelCase			      =					[
			    get_openlibrary_data(author["""key"""]				)["""name"""] for author in data["""Authors"""]
			]
			lowerCamelCase			      =					data["""First sentence"""]["""value"""]
			for key, value in data.items():
						if isinstance(snake_case__       , snake_case__				):
									lowerCamelCase			      =					""", """.join(snake_case__				)
			return data


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					while True:
										lowerCAmelCase							:			List[str]     							=							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							:			List[Any]     							=							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 importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp



def     a__ (				)						->					Union[str, Any]:
			lowerCamelCase			      =					ArgumentParser(
			    description=(
			        """PyTorch TPU distributed training launch """
			        """helper utility that will spawn up """
			        """multiple distributed processes"""
			    )				)

			# Optional arguments for the launch helper
			parser.add_argument("""--num_cores"""       , type=snake_case__       , default=1       , help="""Number of TPU cores to use (1 or 8)."""				)

			# positional
			parser.add_argument(
			    """training_script"""       , type=snake_case__       , help=(
			        """The full path to the single TPU training """
			        """program/script to be launched in parallel, """
			        """followed by all the arguments for the """
			        """training script"""
			    )       , )

			# rest from the training program
			parser.add_argument("""training_script_args"""       , nargs=snake_case__				)

			return parser.parse_args()



def     a__ (				)						->					List[str]:
			lowerCamelCase			      =					parse_args()

			# Import training_script as a module.
			lowerCamelCase			      =					Path(args.training_script				)
			sys.path.append(str(script_fpath.parent.resolve()				)				)
			lowerCamelCase			      =					script_fpath.stem
			lowerCamelCase			      =					importlib.import_module(snake_case__				)

			# Patch sys.argv
			lowerCamelCase			      =					[args.training_script] + args.training_script_args + ["""--tpu_num_cores""", str(args.num_cores				)]
			xmp.spawn(mod._mp_fn       , args=()       , nprocs=args.num_cores				)


if __name__ == "__main__":
					main()



