



'''simple docstring'''






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: Optional[Any]							=						'.'

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

  with open(os.path.join(_A			,      'utils'			,      'tf_ops'			,      'onnx.json'    )    ) as f:
    a						: List[str]					       =					json.load(_A    )['opsets']

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

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

  a						: Optional[int]					       =					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
  a						: List[str]					       =					sorted(_A    )
  a						: Union[str, Any]					       =					[]

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

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


if __name__ == "__main__":
     lowerCAmelCase: Optional[int]							=						argparse.ArgumentParser()
     parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
     parser.add_argument(
         '--opset', default=1_2, 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: Any							=						parser.parse_args()

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




'''simple docstring'''






import argparse
import os
import re

import packaging.version


lowerCAmelCase: List[str]							=						'examples/'
lowerCAmelCase: List[Any]							=						{
    'examples': (re.compile(r'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(r'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(r'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), r'\1version="VERSION",'),
    'doc': (re.compile(r'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
lowerCAmelCase: str							=						{
    'init': 'src/transformers/__init__.py',
    'setup': 'setup.py',
}
lowerCAmelCase: str							=						'README.md'
def 				lowerCamelCase__	(						_A			,      _A			,      _A    ):
  with open(_A			,      'r'			,      encoding='utf-8'			,      newline='\n'    ) as f:
    a						: Tuple					       =					f.read()
  a       ,     a						: Tuple					       =					REPLACE_PATTERNS[pattern]
  a						: Dict					       =					replace.replace('VERSION'			,      _A    )
  a						: Dict					       =					re_pattern.sub(_A			,      _A    )
  with open(_A			,      'w'			,      encoding='utf-8'			,      newline='\n'    ) as f:
    f.write(_A    )
def 				lowerCamelCase__	(						_A    ):
  for folder, directories, fnames in os.walk(_A    ):
    # Removing some of the folders with non-actively maintained examples from the walk
    if "research_projects" in directories:
      directories.remove('research_projects'    )
    if "legacy" in directories:
      directories.remove('legacy'    )
    for fname in fnames:
      if fname.endswith('.py'    ):
        update_version_in_file(os.path.join(_A			,      _A    )			,      _A			,      pattern='examples'    )
def 				lowerCamelCase__	(						_A			,      _A=False    ):
  for pattern, fname in REPLACE_FILES.items():
    update_version_in_file(_A			,      _A			,      _A    )
  if not patch:
    update_version_in_examples(_A    )
def 				lowerCamelCase__	(						):
  a						: Tuple					       =					'🤗 Transformers currently provides the following architectures'
  a						: Any					       =					'1. Want to contribute a new model?'
  with open(_A			,      'r'			,      encoding='utf-8'			,      newline='\n'    ) as f:
    a						: Tuple					       =					f.readlines()

  # Find the start of the list.
  a						: Optional[int]					       =					0
  while not lines[start_index].startswith(_start_prompt    ):
    start_index += 1
  start_index += 1

  a						: Optional[int]					       =					start_index
  # Update the lines in the model list.
  while not lines[index].startswith(_end_prompt    ):
    if lines[index].startswith('1.'    ):
      a						: List[Any]					       =					lines[index].replace(
          'https://huggingface.co/docs/transformers/main/model_doc'			,      'https://huggingface.co/docs/transformers/model_doc'			,      )
    index += 1

  with open(_A			,      'w'			,      encoding='utf-8'			,      newline='\n'    ) as f:
    f.writelines(_A    )
def 				lowerCamelCase__	(						):
  with open(REPLACE_FILES['init']			,      'r'    ) as f:
    a						: Union[str, Any]					       =					f.read()
  a						: Tuple					       =					REPLACE_PATTERNS['init'][0].search(_A    ).groups()[0]
  return packaging.version.parse(_A    )
def 				lowerCamelCase__	(						_A=False    ):
  a						: int					       =					get_version()
  if patch and default_version.is_devrelease:
    raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'    )
  if default_version.is_devrelease:
    a						: Any					       =					default_version.base_version
  elif patch:
    a						: Dict					       =					f"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
  else:
    a						: Union[str, Any]					       =					f"""{default_version.major}.{default_version.minor + 1}.0"""

  # Now let's ask nicely if that's the right one.
  a						: List[Any]					       =					input(f"""Which version are you releasing? [{default_version}]"""    )
  if len(_A    ) == 0:
    a						: Union[str, Any]					       =					default_version

  print(f"""Updating version to {version}."""    )
  global_version_update(_A			,      patch=_A    )
  if not patch:
    print('Cleaning main README, don\'t forget to run `make fix-copies`.'    )
    clean_main_ref_in_model_list()
def 				lowerCamelCase__	(						):
  a						: int					       =					get_version()
  a						: Any					       =					f"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
  a						: int					       =					current_version.base_version

  # Check with the user we got that right.
  a						: Tuple					       =					input(f"""Which version are we developing now? [{dev_version}]"""    )
  if len(_A    ) == 0:
    a						: Optional[int]					       =					dev_version

  print(f"""Updating version to {version}."""    )
  global_version_update(_A    )
  print('Cleaning main README, don\'t forget to run `make fix-copies`.'    )
  clean_main_ref_in_model_list()


if __name__ == "__main__":
     lowerCAmelCase: Tuple							=						argparse.ArgumentParser()
     parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
     parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
     lowerCAmelCase: Optional[Any]							=						parser.parse_args()
     if not args.post_release:
          pre_release_work(patch=args.patch)
     elif args.patch:
          print('Nothing to do after a patch :-)')
     else:
          post_release_work()