






"""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
SCREAMING_SNAKE_CASE_					:	int							  =						'.'

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





def  _snake_case     (    UpperCAmelCase_  :					str					,   UpperCAmelCase_  :					Optional[int]					,   UpperCAmelCase_  :					str			):
     A__										=  SavedModel()
     A__										=  []

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

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

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

     A__										=  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__										=  sorted(__snake_case			)
     A__										=  []

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

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


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_					:	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)'
 )
 SCREAMING_SNAKE_CASE_					:	Dict							  =						parser.parse_args()

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









"""simple docstring"""



from collections.abc import Callable





def  _snake_case     (    UpperCAmelCase_  :					Callable[[float], float]					,   UpperCAmelCase_  :					float					,   UpperCAmelCase_  :					float			):
     A__										=  a
     A__										=  b
     if function(UpperCAmelCase_			) == 0:  # one of the a or b is a root for the function
          return a
     elif function(UpperCAmelCase_			) == 0:
          return b
     elif (
         function(UpperCAmelCase_			) * function(UpperCAmelCase_			) > 0
     ):  # if none of these are root and they are both positive or negative,
          # then this algorithm can't find the root
          raise ValueError("""could not find root in given interval."""			)
     else:
          A__										=  start + (end - start) / 2.0
          while abs(start - mid			) > 10**-7:  # until precisely equals to 10^-7
               if function(UpperCAmelCase_			) == 0:
                    return mid
               elif function(UpperCAmelCase_			) * function(UpperCAmelCase_			) < 0:
                    A__										=  mid
               else:
                    A__										=  mid
               A__										=  start + (end - start) / 2.0
          return mid





def  _snake_case     (    UpperCAmelCase_  :					float			):
     return x**3 - 2 * x - 5


if __name__ == "__main__":
 print(bisection(f, 1, 1_0_0_0))

 import doctest

 doctest.testmod()






