






import os

import numpy
import onnx






def 	UpperCamelCase	(							snake_case__  : int						,snake_case__  : str	):




     '''simple docstring'''






     __snake_case      :Dict 							=    a.name
     __snake_case      :List[Any] 							=    b.name

     __snake_case      :List[Any] 							=    """"""
     __snake_case      :List[Any] 							=    """"""

     __snake_case      :Any 							=    a == b

     __snake_case      :List[Any] 							=    name_a
     __snake_case      :List[str] 							=    name_b

     return res






def 	UpperCamelCase	(							snake_case__  : Optional[int]						,snake_case__  : int						,snake_case__  : int	):




     '''simple docstring'''






     for i, input_name in enumerate(node_proto.input	):
          if input_name == name:
               node_proto.input.insert(snake_case__						,snake_case__	)
               node_proto.input.pop(i + 1	)

     if node_proto.op_type == "If":
          _graph_replace_input_with(node_proto.attribute[0].g						,snake_case__						,snake_case__	)
          _graph_replace_input_with(node_proto.attribute[1].g						,snake_case__						,snake_case__	)
     if node_proto.op_type == "Loop":
          _graph_replace_input_with(node_proto.attribute[0].g						,snake_case__						,snake_case__	)






def 	UpperCamelCase	(							snake_case__  : List[Any]						,snake_case__  : Optional[int]						,snake_case__  : str	):




     '''simple docstring'''






     for n in graph_proto.node:
          _node_replace_input_with(snake_case__						,snake_case__						,snake_case__	)






def 	UpperCamelCase	(							snake_case__  : int						,snake_case__  : Optional[int]						,snake_case__  : Tuple	):




     '''simple docstring'''






     __snake_case      :Union[str, Any] 							=    list(model.graph.initializer	)
     __snake_case      :str 							=    list(model_without_ext.graph.initializer	)
     for i, ref_i in ind_to_replace:
          assert inits_with_data[i].name == inits[i].name
          assert inits_with_data[ref_i].name == inits[ref_i].name
          assert i > ref_i

          __snake_case      :Union[str, Any] 							=    inits[i].name
          __snake_case      :Any 							=    inits[ref_i].name

          model_without_ext.graph.initializer.remove(inits[i]	)

          # for n in model.graph.node:
          _graph_replace_input_with(model_without_ext.graph						,snake_case__						,snake_case__	)






def 	UpperCamelCase	(							snake_case__  : Union[str, Any]	):




     '''simple docstring'''






     __snake_case      :Union[str, Any] 							=    os.path.dirname(snake_case__	)
     __snake_case      :Dict 							=    os.path.basename(snake_case__	)

     __snake_case      :int 							=    onnx.load(os.path.join(snake_case__						,snake_case__	)	)

     __snake_case      :Optional[Any] 							=    list(model.graph.initializer	)

     __snake_case      :int 							=    set()
     __snake_case      :Tuple 							=    {}
     __snake_case      :str 							=    []

     __snake_case      :Optional[Any] 							=    0

     for i in range(len(snake_case__	)	):
          if i in dup_set:
               continue

          for j in range(i + 1						,len(snake_case__	)	):
               if j in dup_set:
                    continue
               if _is_equal_tensor_proto(inits[i]						,inits[j]	):
                    dup_set.add(snake_case__	)
                    dup_set.add(snake_case__	)

                    __snake_case      :Any 							=    inits[j].data_type
                    __snake_case      :str 							=    numpy.prod(inits[j].dims	)
                    if dtype == 1:
                         mem_size *= 4
                    elif dtype == 6:
                         mem_size *= 4
                    elif dtype == 7 or dtype == 11:
                         mem_size *= 8
                    else:
                         print("""unexpected data type: """						,snake_case__	)
                    total_reduced_size += mem_size

                    __snake_case      :Dict 							=    inits[i].name
                    __snake_case      :Optional[int] 							=    inits[j].name

                    if name_i in dup_map:
                         dup_map[name_i].append(snake_case__	)
                    else:
                         __snake_case      :Dict 							=    [name_j]
                    ind_to_replace.append((j, i)	)

     print("""total reduced size: """						,total_reduced_size / 1024 / 1024 / 1024						,"""GB"""	)

     __snake_case      :Dict 							=    sorted(snake_case__	)
     _remove_dup_initializers_from_model(snake_case__						,snake_case__						,snake_case__	)

     __snake_case      :Any 							=    """optimized_""" + model_file_name
     __snake_case      :List[Any] 							=    os.path.join(snake_case__						,snake_case__	)
     onnx.save(snake_case__						,snake_case__	)

     return new_model










def 	UpperCamelCase	(							snake_case__  : float						,snake_case__  : int	):




     '''simple docstring'''






     if digit_amount > 0:
          return round(number - int(snake_case__	)						,snake_case__	)
     return number - int(snake_case__	)


if __name__ == "__main__":
     print(decimal_isolate(1.5_3, 0))
     print(decimal_isolate(3_5.3_4_5, 1))
     print(decimal_isolate(3_5.3_4_5, 2))
     print(decimal_isolate(3_5.3_4_5, 3))
     print(decimal_isolate(-1_4.7_8_9, 3))
     print(decimal_isolate(0, 2))
     print(decimal_isolate(-1_4.1_2_3, 1))
     print(decimal_isolate(-1_4.1_2_3, 2))
     print(decimal_isolate(-1_4.1_2_3, 3))


