
'''simple docstring'''






import os

import numpy
import onnx







def 		A_       (	_lowerCAmelCase   :    int				,	_lowerCAmelCase   :    Tuple							):



      """simple docstring"""




      _lowerCamelCase				:   Union[str, Any]								=   a.name
      _lowerCamelCase				:   Optional[int]								=   b.name

      _lowerCamelCase				:   Optional[int]								=   ""
      _lowerCamelCase				:   int								=   ""

      _lowerCamelCase				:   List[str]								=   a == b

      _lowerCamelCase				:   Tuple								=   name_a
      _lowerCamelCase				:   int								=   name_b

      return res







def 		A_       (	_lowerCAmelCase   :    Optional[Any]				,	_lowerCAmelCase   :    Optional[Any]				,	_lowerCAmelCase   :    Union[str, Any]							):



      """simple docstring"""




      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 		A_       (	_lowerCAmelCase   :    Union[str, Any]				,	_lowerCAmelCase   :    Tuple				,	_lowerCAmelCase   :    Optional[Any]							):



      """simple docstring"""




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







def 		A_       (	_lowerCAmelCase   :    List[str]				,	_lowerCAmelCase   :    str				,	_lowerCAmelCase   :    int							):



      """simple docstring"""




      _lowerCamelCase				:   List[str]								=   list(model.graph.initializer							)
      _lowerCamelCase				:   Dict								=   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

            _lowerCamelCase				:   Optional[Any]								=   inits[i].name
            _lowerCamelCase				:   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				,	_lowerCAmelCase				,	_lowerCAmelCase							)







def 		A_       (	_lowerCAmelCase   :    Any							):



      """simple docstring"""




      _lowerCamelCase				:   Optional[Any]								=   os.path.dirname(_lowerCAmelCase							)
      _lowerCamelCase				:   str								=   os.path.basename(_lowerCAmelCase							)

      _lowerCamelCase				:   Union[str, Any]								=   onnx.load(os.path.join(_lowerCAmelCase				,	_lowerCAmelCase							)							)

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

      _lowerCamelCase				:   str								=   set()
      _lowerCamelCase				:   int								=   {}
      _lowerCamelCase				:   Union[str, Any]								=   []

      _lowerCamelCase				:   List[Any]								=   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							)

                        _lowerCamelCase				:   Optional[Any]								=   inits[j].data_type
                        _lowerCamelCase				:   List[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: "				,	_lowerCAmelCase							)
                        total_reduced_size += mem_size

                        _lowerCamelCase				:   Union[str, Any]								=   inits[i].name
                        _lowerCamelCase				:   Optional[Any]								=   inits[j].name

                        if name_i in dup_map:
                              dup_map[name_i].append(_lowerCAmelCase							)
                        else:
                              _lowerCamelCase				:   Any								=   [name_j]
                        ind_to_replace.append((j, i)							)

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

      _lowerCamelCase				:   Dict								=   sorted(_lowerCAmelCase							)
      _remove_dup_initializers_from_model(_lowerCAmelCase				,	_lowerCAmelCase				,	_lowerCAmelCase							)

      _lowerCamelCase				:   Tuple								=   "optimized_" + model_file_name
      _lowerCamelCase				:   int								=   os.path.join(_lowerCAmelCase				,	_lowerCAmelCase							)
      onnx.save(_lowerCAmelCase				,	_lowerCAmelCase							)

      return new_model

'''simple docstring'''






def 		A_       (	_lowerCAmelCase   :    float							):



      """simple docstring"""




      return 10 - x * x







def 		A_       (	_lowerCAmelCase   :    float				,	_lowerCAmelCase   :    float							):



      """simple docstring"""




      if equation(_lowerCAmelCase							) * equation(_lowerCAmelCase							) >= 0:
            raise ValueError("Wrong space!"							)

      _lowerCamelCase				:   List[str]								=   a
      while (b - a) >= 0.0_1:
            # Find middle point
            _lowerCamelCase				:   Union[str, Any]								=   (a + b) / 2
            # Check if middle point is root
            if equation(_lowerCAmelCase							) == 0.0:
                  break
            # Decide the side to repeat the steps
            if equation(_lowerCAmelCase							) * equation(_lowerCAmelCase							) < 0:
                  _lowerCamelCase				:   Union[str, Any]								=   c
            else:
                  _lowerCamelCase				:   Any								=   c
      return c


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 print(bisection(-2, 5))
 print(bisection(0, 6))