

"""simple docstring"""




import os

import numpy
import onnx
def     UpperCAmelCase_       (						_A				,		_A    ):





     '''simple docstring'''




     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     UpperCAmelCase_       (						_A				,		_A				,		_A    ):





     '''simple docstring'''




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

     if node_proto.op_type == "If":
          _graph_replace_input_with(node_proto.attribute[0].g				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__    )
          _graph_replace_input_with(node_proto.attribute[1].g				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__    )
     if node_proto.op_type == "Loop":
          _graph_replace_input_with(node_proto.attribute[0].g				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__    )
def     UpperCAmelCase_       (						_A				,		_A				,		_A    ):





     '''simple docstring'''




     for n in graph_proto.node:
          _node_replace_input_with(SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__    )
def     UpperCAmelCase_       (						_A				,		_A				,		_A    ):





     '''simple docstring'''




     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				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__    )







def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   os.path.dirname(SCREAMING_SNAKE_CASE__    )
     SCREAMING_SNAKE_CASE__   =   os.path.basename(SCREAMING_SNAKE_CASE__    )

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

     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(SCREAMING_SNAKE_CASE__    )    ):
          if i in dup_set:
               continue

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

                    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 == 11:
                         mem_size *= 8
                    else:
                         print('''unexpected data type: '''				,		SCREAMING_SNAKE_CASE__    )
                    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(SCREAMING_SNAKE_CASE__    )
                    else:
                         SCREAMING_SNAKE_CASE__   =   [name_j]
                    ind_to_replace.append((j, i)    )

     print('''total reduced size: '''				,		total_reduced_size / 10_24 / 10_24 / 10_24				,		'''GB'''    )

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

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

     return new_model





from __future__ import annotations
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   len(_A    ) // 2

     # choose the middle 3 elements
     SCREAMING_SNAKE_CASE__   =   lst[m - 1 : m + 2]

     # if middle element is peak
     if three[1] > three[0] and three[1] > three[2]:
          return three[1]

     # if increasing, recurse on right
     elif three[0] < three[2]:
          if len(lst[:m]    ) == 2:
               m -= 1
          return peak(lst[m:]    )

     # decreasing
     else:
          if len(lst[:m]    ) == 2:
               m += 1
          return peak(lst[:m]    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


