
"""simple docstring"""





import os

import numpy
import onnx







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Any			     =    a.name
   UpperCAmelCase_					:					Optional[Any]			     =    b.name

   UpperCAmelCase_					:					str			     =    ""
   UpperCAmelCase_					:					Optional[Any]			     =    ""

   UpperCAmelCase_					:					Optional[Any]			     =    a == b

   UpperCAmelCase_					:					str			     =    name_a
   UpperCAmelCase_					:					str			     =    name_b

   return res







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   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,		__lowerCamelCase,		__lowerCamelCase  ):
   for n in graph_proto.node:
      _node_replace_input_with(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					List[str]			     =    list(model.graph.initializer  )
   UpperCAmelCase_					:					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

      UpperCAmelCase_					:					List[Any]			     =    inits[i].name
      UpperCAmelCase_					:					List[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  ):
   UpperCAmelCase_					:					int			     =    os.path.dirname(__lowerCamelCase  )
   UpperCAmelCase_					:					Optional[Any]			     =    os.path.basename(__lowerCamelCase  )

   UpperCAmelCase_					:					Optional[int]			     =    onnx.load(os.path.join(__lowerCamelCase,		__lowerCamelCase  )  )

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

   UpperCAmelCase_					:					str			     =    set()
   UpperCAmelCase_					:					Optional[Any]			     =    {}
   UpperCAmelCase_					:					Union[str, Any]			     =    []

   UpperCAmelCase_					:					str			     =    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  )

            UpperCAmelCase_					:					Any			     =    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: ",		__lowerCamelCase  )
            total_reduced_size += mem_size

            UpperCAmelCase_					:					List[str]			     =    inits[i].name
            UpperCAmelCase_					:					int			     =    inits[j].name

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

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

   UpperCAmelCase_					:					Any			     =    sorted(__lowerCamelCase  )
   _remove_dup_initializers_from_model(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )

   UpperCAmelCase_					:					Tuple			     =    "optimized_" + model_file_name
   UpperCAmelCase_					:					List[str]			     =    os.path.join(__lowerCamelCase,		__lowerCamelCase  )
   onnx.save(__lowerCamelCase,		__lowerCamelCase  )

   return new_model




"""simple docstring"""





import os

_a		       =							{'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1_000}







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					Union[str, Any]			     =    0

   UpperCAmelCase_					:					List[str]			     =    0
   while index < len(__lowerCamelCase  ) - 1:
      UpperCAmelCase_					:					Tuple			     =    SYMBOLS[numerals[index]]
      UpperCAmelCase_					:					List[str]			     =    SYMBOLS[numerals[index + 1]]
      if current_value < next_value:
         total_value -= current_value
      else:
         total_value += current_value
      index += 1
   total_value += SYMBOLS[numerals[index]]

   return total_value







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					List[str]			     =    ""

   UpperCAmelCase_					:					Any			     =    num // 1000
   numerals += m_count * "M"
   num %= 1000

   UpperCAmelCase_					:					Any			     =    num // 100
   if c_count == 9:
      numerals += "CM"
      c_count -= 9
   elif c_count == 4:
      numerals += "CD"
      c_count -= 4
   if c_count >= 5:
      numerals += "D"
      c_count -= 5
   numerals += c_count * "C"
   num %= 100

   UpperCAmelCase_					:					str			     =    num // 10
   if x_count == 9:
      numerals += "XC"
      x_count -= 9
   elif x_count == 4:
      numerals += "XL"
      x_count -= 4
   if x_count >= 5:
      numerals += "L"
      x_count -= 5
   numerals += x_count * "X"
   num %= 10

   if num == 9:
      numerals += "IX"
      num -= 9
   elif num == 4:
      numerals += "IV"
      num -= 4
   if num >= 5:
      numerals += "V"
      num -= 5
   numerals += num * "I"

   return numerals







def 	__a     (		__lowerCamelCase = "/p089_roman.txt"  ):
   UpperCAmelCase_					:					int			     =    0

   with open(os.path.dirname(__lowerCamelCase  ) + roman_numerals_filename  ) as filea:
      UpperCAmelCase_					:					Optional[Any]			     =    filea.readlines()

   for line in lines:
      UpperCAmelCase_					:					Tuple			     =    line.strip()
      UpperCAmelCase_					:					Optional[Any]			     =    parse_roman_numerals(__lowerCamelCase  )
      UpperCAmelCase_					:					Tuple			     =    generate_roman_numerals(__lowerCamelCase  )
      savings += len(__lowerCamelCase  ) - len(__lowerCamelCase  )

   return savings


if __name__ == "__main__":
    print(f"""{solution() = }""")


