





import os

import numpy
import onnx


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						str:
    SCREAMING_SNAKE_CASE__											=			a.name
    SCREAMING_SNAKE_CASE__											=			b.name

    SCREAMING_SNAKE_CASE__											=			''''''
    SCREAMING_SNAKE_CASE__											=			''''''

    SCREAMING_SNAKE_CASE__											=			a == b

    SCREAMING_SNAKE_CASE__											=			name_a
    SCREAMING_SNAKE_CASE__											=			name_b

    return res


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						List[Any]:
    for i, input_name in enumerate(node_proto.input	):
        if input_name == name:
            node_proto.input.insert(lowerCAmelCase_ ,							lowerCAmelCase_	)
            node_proto.input.pop(i + 1	)

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


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						int:
    for n in graph_proto.node:
        _node_replace_input_with(lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Tuple:
    SCREAMING_SNAKE_CASE__											=			list(model.graph.initializer	)
    SCREAMING_SNAKE_CASE__											=			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

        SCREAMING_SNAKE_CASE__											=			inits[i].name
        SCREAMING_SNAKE_CASE__											=			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 ,							lowerCAmelCase_ ,							lowerCAmelCase_	)



def 							__snake_case							(    lowerCAmelCase_	)				->						Union[str, Any]:
    SCREAMING_SNAKE_CASE__											=			os.path.dirname(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			os.path.basename(lowerCAmelCase_	)

    SCREAMING_SNAKE_CASE__											=			onnx.load(os.path.join(lowerCAmelCase_ ,							lowerCAmelCase_	)	)

    SCREAMING_SNAKE_CASE__											=			list(model.graph.initializer	)

    SCREAMING_SNAKE_CASE__											=			set()
    SCREAMING_SNAKE_CASE__											=			{}
    SCREAMING_SNAKE_CASE__											=			[]

    SCREAMING_SNAKE_CASE__											=			0

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

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

                SCREAMING_SNAKE_CASE__											=			inits[j].data_type
                SCREAMING_SNAKE_CASE__											=			numpy.prod(inits[j].dims	)
                if dtype == 1:
                    mem_size *= 4
                elif dtype == 6:
                    mem_size *= 4
                elif dtype == 7 or dtype == 1_1:
                    mem_size *= 8
                else:
                    print('''unexpected data type: ''' ,							lowerCAmelCase_	)
                total_reduced_size += mem_size

                SCREAMING_SNAKE_CASE__											=			inits[i].name
                SCREAMING_SNAKE_CASE__											=			inits[j].name

                if name_i in dup_map:
                    dup_map[name_i].append(lowerCAmelCase_	)
                else:
                    SCREAMING_SNAKE_CASE__											=			[name_j]
                ind_to_replace.append((j, i)	)

    print('''total reduced size: ''' ,							total_reduced_size / 1_0_2_4 / 1_0_2_4 / 1_0_2_4 ,							'''GB'''	)

    SCREAMING_SNAKE_CASE__											=			sorted(lowerCAmelCase_	)
    _remove_dup_initializers_from_model(lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)

    SCREAMING_SNAKE_CASE__											=			'''optimized_''' + model_file_name
    SCREAMING_SNAKE_CASE__											=			os.path.join(lowerCAmelCase_ ,							lowerCAmelCase_	)
    onnx.save(lowerCAmelCase_ ,							lowerCAmelCase_	)

    return new_model




'''simple docstring'''







def       lowercase					(_A       ):







       """simple docstring"""







       _lowerCAmelCase     :				Union[str, Any]       =							len(_A       )
       for i in range(length - 1       ):
              _lowerCAmelCase     :				List[Any]       =							i
              for k in range(i + 1 ,    _A       ):
                     if collection[k] < collection[least]:
                            _lowerCAmelCase     :				List[str]       =							k
              if least != i:
                     _lowerCAmelCase      ,  _lowerCAmelCase     :				Union[str, Any]       =							(collection[i], collection[least])
       return collection


if __name__ == "__main__":
       lowerCAmelCase     :  Optional[Any]											=    input("""Enter numbers separated by a comma:\n""").strip()
       lowerCAmelCase     :  Tuple											=    [int(item) for item in user_input.split(""",""")]
       print(selection_sort(unsorted))

