




import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCamelCase__			:       Dict         =							'.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
lowerCamelCase__			:       List[Any]         =							[
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]

def  UpperCAmelCase_							(				__UpperCAmelCase						:     Tuple      ,      __UpperCAmelCase						:     List[Any]      ,      __UpperCAmelCase						:     str							) ->			Any:
      SCREAMING_SNAKE_CASE_     						=      SavedModel()
      SCREAMING_SNAKE_CASE_     						=      []

      with open(os.path.join(__UpperCAmelCase      ,      'utils'      ,      'tf_ops'      ,      'onnx.json'							)							) as f:
            SCREAMING_SNAKE_CASE_     						=      json.load(__UpperCAmelCase							)['opsets']

      for i in range(1      ,      opset + 1							):
            onnx_ops.extend(onnx_opsets[str(__UpperCAmelCase							)]							)

      with open(__UpperCAmelCase      ,      'rb'							) as f:
            saved_model.ParseFromString(f.read()							)

      SCREAMING_SNAKE_CASE_     						=      set()

      # Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
      for meta_graph in saved_model.meta_graphs:
            # Add operations in the graph definition
            model_op_names.update(node.op for node in meta_graph.graph_def.node							)

            # Go through the functions in the graph definition
            for func in meta_graph.graph_def.library.function:
                  # Add operations in each function
                  model_op_names.update(node.op for node in func.node_def							)

    # Convert to list, sorted if you want
      SCREAMING_SNAKE_CASE_     						=      sorted(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_     						=      []

      for op in model_op_names:
            if op not in onnx_ops and op not in INTERNAL_OPS:
                  incompatible_ops.append(__UpperCAmelCase							)

      if strict and len(__UpperCAmelCase							) > 0:
            raise Exception(f"Found the following incompatible ops for the opset {opset}:\n" + incompatible_ops							)
      elif len(__UpperCAmelCase							) > 0:
            print(f"Found the following incompatible ops for the opset {opset}:"							)
            print(*__UpperCAmelCase      ,      sep='\n'							)
      else:
            print(f"The saved model {saved_model_path} can properly be converted with ONNX."							)


if __name__ == "__main__":
   lowerCamelCase__			:       Dict         =							argparse.ArgumentParser()
   parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
   parser.add_argument(
       '--opset', default=12, type=int, help='The ONNX opset against which the model has to be tested.'
   )
   parser.add_argument(
       '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
   )
   parser.add_argument(
       '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
   )
   lowerCamelCase__			:       List[str]         =							parser.parse_args()

   if args.framework == "onnx":
      onnx_compliancy(args.saved_model_path, args.strict, args.opset)





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}.''')