
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__		:     Any     			=      '.'

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






def   lowerCamelCase__							(					a		,		a		,		a      )      ->   List[str]:
   _A:  Optional[int]					=       SavedModel()
   _A:  Dict					=       []

   with open(os.path.join(a		,		'''utils'''		,		'''tf_ops'''		,		'''onnx.json'''      )      ) as f:
      _A:  Optional[int]					=       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[Any]					=       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[Any]					=       sorted(a      )
   _A:  Optional[int]					=       []

   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__":
   UpperCAmelCase__		:     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)'
   )
   UpperCAmelCase__		:     List[Any]     			=      parser.parse_args()

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





import random

from .binary_exp_mod import bin_exp_mod






def   lowerCamelCase__							(					a		,		a=10_00      )      ->   Optional[int]:
   if n < 2:
      return False

   if n % 2 == 0:
      return n == 2

   # this means n is odd
   _A:  List[Any]					=       n - 1
   _A:  Dict					=       0
   while d % 2 == 0:
      d /= 2
      exp += 1

   # n - 1=d*(2**exp)
   _A:  List[str]					=       0
   while count < prec:
      _A:  Optional[int]					=       random.randint(2		,		n - 1      )
      _A:  Union[str, Any]					=       bin_exp_mod(a		,		a		,		a      )
      if b != 1:
         _A:  Optional[Any]					=       True
         for _ in range(a      ):
            if b == n - 1:
               _A:  int					=       False
               break
            _A:  Optional[Any]					=       b * b
            b %= n
         if flag:
            return False
         count += 1
   return True


if __name__ == "__main__":
   UpperCAmelCase__		:     Dict     			=      abs(int(input('Enter bound : ').strip()))
   print('Here\'s the list of primes:')
   print(', '.join(str(i) for i in range(n + 1) if is_prime_big(i)))



