


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						:   str		=   "."

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



def 						lowerCAmelCase		(		_lowerCAmelCase							:   List[Any]						,							_lowerCAmelCase							:   Optional[int]						,							_lowerCAmelCase							:   Optional[int]	):




 """simple docstring"""







 UpperCAmelCase__							 =						SavedModel()
 UpperCAmelCase__							 =						[]

 with open(os.path.join(snake_case__						,							"utils"						,							"tf_ops"						,							"onnx.json"	)	) as f:
  UpperCAmelCase__							 =						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()	)

 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(snake_case__	)
 UpperCAmelCase__							 =						[]

 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__":
  _lowerCAmelCase						:   Tuple		=   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						:   Optional[Any]		=   parser.parse_args()

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











import math



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int	):




 """simple docstring"""







 UpperCAmelCase__							 =						math.loga(math.sqrt(4 * positive_integer + 1	) / 2 + 1 / 2	)

 return exponent == int(_lowerCAmelCase	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   float = 1 / 1_2345	):




 """simple docstring"""







 UpperCAmelCase__							 =						0
 UpperCAmelCase__							 =						0

 UpperCAmelCase__							 =						3
 while True:
  UpperCAmelCase__							 =						(integer**2 - 1) / 4
  # if candidate is an integer, then there is a partition for k
  if partition_candidate == int(_lowerCAmelCase	):
   UpperCAmelCase__							 =						int(_lowerCAmelCase	)
   total_partitions += 1
   if check_partition_perfect(_lowerCAmelCase	):
    perfect_partitions += 1
  if perfect_partitions > 0:
   if perfect_partitions / total_partitions < max_proportion:
    return int(_lowerCAmelCase	)
  integer += 1


if __name__ == "__main__":
  print(F'''{solution() = }''')





