


import os

import numpy
import onnx




def    a__    (		snake_case__					:							Optional[Any]						,   snake_case__					:							str     ):
  _UpperCAmelCase		:							List[Any]							=     a.name
  _UpperCAmelCase		:							Union[str, Any]							=     b.name

  _UpperCAmelCase		:							List[Any]							=     """"""
  _UpperCAmelCase		:							int							=     """"""

  _UpperCAmelCase		:							int							=     a == b

  _UpperCAmelCase		:							Dict							=     name_a
  _UpperCAmelCase		:							List[str]							=     name_b

  return res




def    a__    (		snake_case__					:							int						,   snake_case__					:							int						,   snake_case__					:							Dict     ):
  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    a__    (		snake_case__					:							Tuple						,   snake_case__					:							Union[str, Any]						,   snake_case__					:							Optional[int]     ):
  for n in graph_proto.node:
    _node_replace_input_with(snake_case__						,   snake_case__						,   snake_case__     )




def    a__    (		snake_case__					:							List[str]						,   snake_case__					:							Tuple						,   snake_case__					:							Any     ):
  _UpperCAmelCase		:							List[Any]							=     list(model.graph.initializer     )
  _UpperCAmelCase		:							Optional[int]							=     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

    _UpperCAmelCase		:							List[str]							=     inits[i].name
    _UpperCAmelCase		:							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    a__    (		snake_case__					:							Optional[int]     ):
  _UpperCAmelCase		:							List[str]							=     os.path.dirname(snake_case__     )
  _UpperCAmelCase		:							Optional[Any]							=     os.path.basename(snake_case__     )

  _UpperCAmelCase		:							Tuple							=     onnx.load(os.path.join(snake_case__						,   snake_case__     )     )

  _UpperCAmelCase		:							str							=     list(model.graph.initializer     )

  _UpperCAmelCase		:							Dict							=     set()
  _UpperCAmelCase		:							Union[str, Any]							=     {}
  _UpperCAmelCase		:							Tuple							=     []

  _UpperCAmelCase		:							List[str]							=     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__     )

        _UpperCAmelCase		:							List[str]							=     inits[j].data_type
        _UpperCAmelCase		:							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: """						,   snake_case__     )
        total_reduced_size += mem_size

        _UpperCAmelCase		:							List[Any]							=     inits[i].name
        _UpperCAmelCase		:							Optional[Any]							=     inits[j].name

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

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

  _UpperCAmelCase		:							List[Any]							=     sorted(snake_case__     )
  _remove_dup_initializers_from_model(snake_case__						,   snake_case__						,   snake_case__     )

  _UpperCAmelCase		:							Optional[int]							=     """optimized_""" + model_file_name
  _UpperCAmelCase		:							Optional[int]							=     os.path.join(snake_case__						,   snake_case__     )
  onnx.save(snake_case__						,   snake_case__     )

  return new_model









from __future__ import annotations




def    a__    (		snake_case__					:							list[int]     ):
  if len(snake_case__     ) == 0:
    return array

  _UpperCAmelCase,_UpperCAmelCase		:							List[str]							=     min(snake_case__     ), max(snake_case__     )

  # Compute the variables
  _UpperCAmelCase		:							Tuple							=     _max - _min + 1
  _UpperCAmelCase,_UpperCAmelCase		:							Union[str, Any]							=     [0] * holes_range, [0] * holes_range

  # Make the sorting.
  for i in array:
    _UpperCAmelCase		:							Optional[int]							=     i - _min
    _UpperCAmelCase		:							Any							=     i
    holes_repeat[index] += 1

  # Makes the array back by replacing the numbers.
  _UpperCAmelCase		:							List[Any]							=     0
  for i in range(snake_case__     ):
    while holes_repeat[i] > 0:
      _UpperCAmelCase		:							Optional[Any]							=     holes[i]
      index += 1
      holes_repeat[i] -= 1

    # Returns the sorted array.
  return array


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 SCREAMING_SNAKE_CASE__					:     Dict       =     input('Enter numbers separated by comma:\n')
 SCREAMING_SNAKE_CASE__					:     Optional[int]       =     [int(x) for x in user_input.split(',')]
 print(pigeon_sort(unsorted))





