
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
_snake_case      :							Union[str, Any]     	=    "."

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

def  __snake_case							(	__magic_name__		,    __magic_name__		,    __magic_name__						):







				'''simple docstring'''


				lowercase         =      SavedModel()
				lowercase         =      []

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

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

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

				lowercase         =      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
				lowercase         =      sorted(__magic_name__						)
				lowercase         =      []

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

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


if __name__ == "__main__":
						_snake_case      :							List[Any]     	=    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)"
						)
						_snake_case      :							Optional[int]     	=    parser.parse_args()

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


from __future__ import annotations

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				if len(__magic_name__						) == 0:
								return []
				lowercase     ,	lowercase         =      min(__magic_name__						), max(__magic_name__						)
				lowercase         =      int(max_value - min_value						) + 1
				lowercase         =      [[] for _ in range(__magic_name__						)]

				for i in my_list:
								buckets[int(i - min_value						)].append(__magic_name__						)

				return [v for bucket in buckets for v in sorted(__magic_name__						)]


if __name__ == "__main__":
						from doctest import testmod

						testmod()
						assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
						assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]
