"""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
UpperCAmelCase__     						=  """."""

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






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					SavedModel()
  _UpperCAmelCase         =					[]

  with open(os.path.join(lowercase      ,"""utils"""      ,"""tf_ops"""      ,"""onnx.json"""						)						) as f:
    _UpperCAmelCase         =					json.load(lowercase						)["""opsets"""]

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

  with open(lowercase      ,"""rb"""						) as f:
    saved_model.ParseFromString(f.read()						)

  _UpperCAmelCase         =					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
  _UpperCAmelCase         =					sorted(lowercase						)
  _UpperCAmelCase         =					[]

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

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


if __name__ == "__main__":
    UpperCAmelCase__     						=  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)"""
    )
    UpperCAmelCase__     						=  parser.parse_args()

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

"""simple docstring"""


from __future__ import annotations






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					get_failure_array(lowercase						)

  # 2) Step through text searching for pattern
  _UpperCAmelCase       , _UpperCAmelCase         =					0, 0  # index into text, pattern
  while i < len(lowercase						):
    if pattern[j] == text[i]:
      if j == (len(lowercase						) - 1):
        return True
      j += 1

    # if this is a prefix in our pattern
    # just go back far enough to continue
    elif j > 0:
      _UpperCAmelCase         =					failure[j - 1]
      continue
    i += 1
  return False






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					[0]
  _UpperCAmelCase         =					0
  _UpperCAmelCase         =					1
  while j < len(lowercase						):
    if pattern[i] == pattern[j]:
      i += 1
    elif i > 0:
      _UpperCAmelCase         =					failure[i - 1]
      continue
    j += 1
    failure.append(lowercase						)
  return failure


if __name__ == "__main__":
    # Test 1)
    UpperCAmelCase__     						=  """abc1abc12"""
    UpperCAmelCase__     						=  """alskfjaldsabc1abc1abc12k23adsfabcabc"""
    UpperCAmelCase__     						=  """alskfjaldsk23adsfabcabc"""
    assert kmp(pattern, texta) and not kmp(pattern, texta)

    # Test 2)
    UpperCAmelCase__     						=  """ABABX"""
    UpperCAmelCase__     						=  """ABABZABABYABABX"""
    assert kmp(pattern, text)

    # Test 3)
    UpperCAmelCase__     						=  """AAAB"""
    UpperCAmelCase__     						=  """ABAAAAAB"""
    assert kmp(pattern, text)

    # Test 4)
    UpperCAmelCase__     						=  """abcdabcy"""
    UpperCAmelCase__     						=  """abcxabcdabxabcdabcdabcy"""
    assert kmp(pattern, text)

    # Test 5)
    UpperCAmelCase__     						=  """aabaabaaa"""
    assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]
