


import os

import numpy
import onnx




def   snake_case		(     UpperCamelCase__       :						Optional[Any]			,				UpperCamelCase__       :						Any    )   ->      List[str]:
      lowerCamelCase					:					Optional[Any]        =	a.name
      lowerCamelCase					:					List[str]        =	b.name

      lowerCamelCase					:					int        =	''
      lowerCamelCase					:					Dict        =	''

      lowerCamelCase					:					Optional[Any]        =	a == b

      lowerCamelCase					:					Optional[Any]        =	name_a
      lowerCamelCase					:					Optional[Any]        =	name_b

      return res




def   snake_case		(     UpperCamelCase__       :						Any			,				UpperCamelCase__       :						Optional[Any]			,				UpperCamelCase__       :						Any    )   ->      Union[str, Any]:
      for i, input_name in enumerate(node_proto.input    ):
            if input_name == name:
                  node_proto.input.insert(UpperCamelCase__			,				UpperCamelCase__    )
                  node_proto.input.pop(i + 1    )

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




def   snake_case		(     UpperCamelCase__       :						Dict			,				UpperCamelCase__       :						Union[str, Any]			,				UpperCamelCase__       :						Any    )   ->      Tuple:
      for n in graph_proto.node:
            _node_replace_input_with(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )




def   snake_case		(     UpperCamelCase__       :						List[Any]			,				UpperCamelCase__       :						Dict			,				UpperCamelCase__       :						str    )   ->      List[Any]:
      lowerCamelCase					:					Tuple        =	list(model.graph.initializer    )
      lowerCamelCase					:					List[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

            lowerCamelCase					:					List[str]        =	inits[i].name
            lowerCamelCase					:					Dict        =	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			,				UpperCamelCase__			,				UpperCamelCase__    )






def   snake_case		(     UpperCamelCase__       :						List[Any]    )   ->      str:
      lowerCamelCase					:					List[Any]        =	os.path.dirname(UpperCamelCase__    )
      lowerCamelCase					:					List[str]        =	os.path.basename(UpperCamelCase__    )

      lowerCamelCase					:					Dict        =	onnx.load(os.path.join(UpperCamelCase__			,				UpperCamelCase__    )    )

      lowerCamelCase					:					Optional[int]        =	list(model.graph.initializer    )

      lowerCamelCase					:					Tuple        =	set()
      lowerCamelCase					:					int        =	{}
      lowerCamelCase					:					Optional[Any]        =	[]

      lowerCamelCase					:					Optional[Any]        =	0

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

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

                        lowerCamelCase					:					Any        =	inits[j].data_type
                        lowerCamelCase					:					Dict        =	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: """			,				UpperCamelCase__    )
                        total_reduced_size += mem_size

                        lowerCamelCase					:					List[str]        =	inits[i].name
                        lowerCamelCase					:					List[Any]        =	inits[j].name

                        if name_i in dup_map:
                              dup_map[name_i].append(UpperCamelCase__    )
                        else:
                              lowerCamelCase					:					str        =	[name_j]
                        ind_to_replace.append((j, i)    )

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

      lowerCamelCase					:					Optional[Any]        =	sorted(UpperCamelCase__    )
      _remove_dup_initializers_from_model(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      lowerCamelCase					:					Dict        =	'optimized_' + model_file_name
      lowerCamelCase					:					str        =	os.path.join(UpperCamelCase__			,				UpperCamelCase__    )
      onnx.save(UpperCamelCase__			,				UpperCamelCase__    )

      return new_model








"""simple docstring"""


__lowerCamelCase      :List[Any]	    =		{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

__lowerCamelCase      :Union[str, Any]	    =		{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}




def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]			,				UpperCamelCase__       :						int			,				UpperCamelCase__       :						list[bool]    )   ->      list[int]:
      lowerCamelCase					:					Tuple        =	True
      lowerCamelCase					:					Any        =	[]

      for neighbour in graph[vert]:
            if not visited[neighbour]:
                  order += topology_sort(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      order.append(UpperCamelCase__    )

      return order




def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]			,				UpperCamelCase__       :						int			,				UpperCamelCase__       :						list[bool]    )   ->      list[int]:
      lowerCamelCase					:					List[Any]        =	True
      lowerCamelCase					:					int        =	[vert]

      for neighbour in reversed_graph[vert]:
            if not visited[neighbour]:
                  component += find_components(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      return component






def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]    )   ->      list[list[int]]:
      lowerCamelCase					:					int        =	len(UpperCamelCase__    ) * [False]
      lowerCamelCase					:					dict[int, list[int]]        =	{vert: [] for vert in range(len(UpperCamelCase__    )    )}

      for vert, neighbours in graph.items():
            for neighbour in neighbours:
                  reversed_graph[neighbour].append(UpperCamelCase__    )

      lowerCamelCase					:					int        =	[]
      for i, was_visited in enumerate(UpperCamelCase__    ):
            if not was_visited:
                  order += topology_sort(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      lowerCamelCase					:					Tuple        =	[]
      lowerCamelCase					:					str        =	len(UpperCamelCase__    ) * [False]

      for i in range(len(UpperCamelCase__    )    ):
            lowerCamelCase					:					Any        =	order[len(UpperCamelCase__    ) - i - 1]
            if not visited[vert]:
                  lowerCamelCase					:					List[str]        =	find_components(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
                  components_list.append(UpperCamelCase__    )

      return components_list




