




from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
   import torch

if is_torch_tpu_available(check_device=False):
   import torch_xla.core.xla_model as xm


lowerCamelCase__			:       List[Any]         =							logging.get_logger(__name__)





@dataclass
class 	UpperCAmelCase_							(				A__ ):


 '''simple docstring'''







 lowercase_       =   [
     "no_inference",
     "no_cuda",
     "no_tpu",
     "no_speed",
     "no_memory",
     "no_env_print",
     "no_multi_process",
 ]



 def __init__(							self  :		Dict    ,    **_lowerCAmelCase  :		Optional[int]						):
       for deprecated_arg in self.deprecated_args:
             if deprecated_arg in kwargs:
                   SCREAMING_SNAKE_CASE_     						=      deprecated_arg[3:]
                   setattr(self    ,    __A    ,    not kwargs.pop(__A						)						)
                   logger.warning(
                       F"{deprecated_arg} is depreciated. Please use --no_{positive_arg} or"
                       F" {positive_arg}={kwargs[positive_arg]}"						)

       SCREAMING_SNAKE_CASE_     						=      kwargs.pop('torchscript'    ,    self.torchscript						)
       SCREAMING_SNAKE_CASE_     						=      kwargs.pop('torch_xla_tpu_print_metrics'    ,    self.torch_xla_tpu_print_metrics						)
       SCREAMING_SNAKE_CASE_     						=      kwargs.pop('fp16_opt_level'    ,    self.fpaa_opt_level						)
       super().__init__(**__A						)

 lowercase_       =   field(default=A__	,       metadata={"help": "Trace the models using torchscript"} )
 lowercase_       =   field(default=A__	,       metadata={"help": "Print Xla/PyTorch tpu metrics"} )
 lowercase_       =   field(
     default="O1"	,       metadata={
         "help": (
             "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
             "See details at https://nvidia.github.io/apex/amp.html"
         )
     }	,       )



 @cached_property
 def 				lowerCAmelCase_  (							self  :		str						):
       requires_backends(self    ,    ['torch']						)
       logger.info('PyTorch: setting up devices'						)
       if not self.cuda:
             SCREAMING_SNAKE_CASE_     						=      torch.device('cpu'						)
             SCREAMING_SNAKE_CASE_     						=      0
       elif is_torch_tpu_available():
             SCREAMING_SNAKE_CASE_     						=      xm.xla_device()
             SCREAMING_SNAKE_CASE_     						=      0
       else:
             SCREAMING_SNAKE_CASE_     						=      torch.device('cuda' if torch.cuda.is_available() else 'cpu'						)
             SCREAMING_SNAKE_CASE_     						=      torch.cuda.device_count()
       return device, n_gpu



 @property
 def 				lowerCAmelCase_  (							self  :		str						):
       return is_torch_tpu_available() and self.tpu



 @property
 def 				lowerCAmelCase_  (							self  :		Optional[Any]						):
       requires_backends(self    ,    ['torch']						)
       # TODO(PVP): currently only single GPU is supported
       return torch.cuda.current_device()



 @property
 def 				lowerCAmelCase_  (							self  :		Any						):
       requires_backends(self    ,    ['torch']						)
       return self._setup_devices[0]



 @property
 def 				lowerCAmelCase_  (							self  :		Tuple						):
       requires_backends(self    ,    ['torch']						)
       return self._setup_devices[1]




 @property
 def 				lowerCAmelCase_  (							self  :		List[Any]						):
       return self.n_gpu > 0





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

import requests

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str = "isbn/0140328726"							) ->			dict:
      SCREAMING_SNAKE_CASE_     						=      olid.strip().strip('/'							)  # Remove leading/trailing whitespace & slashes
      if new_olid.count('/'							) != 1:
            SCREAMING_SNAKE_CASE_     						=      f"{olid} is not a valid Open Library olid"
            raise ValueError(__UpperCAmelCase							)
      return requests.get(f"https://openlibrary.org/{new_olid}.json"							).json()

def  UpperCAmelCase_							(				__UpperCAmelCase						:     dict							) ->			dict:
      SCREAMING_SNAKE_CASE_     						=      {
          '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)',
      }
      SCREAMING_SNAKE_CASE_     						=      {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
      SCREAMING_SNAKE_CASE_     						=      [
          get_openlibrary_data(author['key']							)['name'] for author in data['Authors']
      ]
      SCREAMING_SNAKE_CASE_     						=      data['First sentence']['value']
      for key, value in data.items():
            if isinstance(__UpperCAmelCase      ,      __UpperCAmelCase							):
                  SCREAMING_SNAKE_CASE_     						=      ', '.join(__UpperCAmelCase							)
      return data


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   while True:
      lowerCamelCase__			:       Optional[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:
         lowerCamelCase__			:       Union[str, 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}.''')