




'''simple docstring'''






def 		a_( lowerCamelCase   ,				lowerCamelCase   ,				lowerCamelCase   ,				lowerCamelCase   ,				lowerCamelCase   ,				lowerCamelCase   ,				)				->tuple[list[list[int]], list[list[str]]]:






       '''simple docstring'''




       lowercase  :		List[Any]						=      list(_UpperCAmelCase      )
       lowercase  :		Union[str, Any]						=      list(_UpperCAmelCase      )
       lowercase  :		Optional[int]						=      len(_UpperCAmelCase      )
       lowercase  :		List[Any]						=      len(_UpperCAmelCase      )

       lowercase  :		str						=      [
           [0 for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
       ]
       lowercase  :		str						=      [
           ['0' for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
       ]

       for i in range(1   ,				len_source_seq + 1      ):
              lowercase  :		int						=      i * delete_cost
              lowercase  :		List[str]						=      f"""D{source_seq[i - 1]:c}"""

       for i in range(1   ,				len_destination_seq + 1      ):
              lowercase  :		Tuple						=      i * insert_cost
              lowercase  :		Union[str, Any]						=      f"""I{destination_seq[i - 1]:c}"""

       for i in range(1   ,				len_source_seq + 1      ):
              for j in range(1   ,				len_destination_seq + 1      ):
                     if source_seq[i - 1] == destination_seq[j - 1]:
                            lowercase  :		str						=      costs[i - 1][j - 1] + copy_cost
                            lowercase  :		Tuple						=      f"""C{source_seq[i - 1]:c}"""
                     else:
                            lowercase  :		Optional[int]						=      costs[i - 1][j - 1] + replace_cost
                            lowercase  :		Optional[int]						=      f"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]      )

                     if costs[i - 1][j] + delete_cost < costs[i][j]:
                            lowercase  :		List[str]						=      costs[i - 1][j] + delete_cost
                            lowercase  :		Optional[int]						=      f"""D{source_seq[i - 1]:c}"""

                     if costs[i][j - 1] + insert_cost < costs[i][j]:
                            lowercase  :		Union[str, Any]						=      costs[i][j - 1] + insert_cost
                            lowercase  :		str						=      f"""I{destination_seq[j - 1]:c}"""

       return costs, ops




def 		a_( lowerCamelCase   ,				lowerCamelCase   ,				lowerCamelCase      )				->list[str]:






       '''simple docstring'''




       if i == 0 and j == 0:
              return []
       else:
              if ops[i][j][0] == "C" or ops[i][j][0] == "R":
                     lowercase  :		List[str]						=      assemble_transformation(_UpperCAmelCase   ,				i - 1   ,				j - 1      )
                     seq.append(ops[i][j]      )
                     return seq
              elif ops[i][j][0] == "D":
                     lowercase  :		int						=      assemble_transformation(_UpperCAmelCase   ,				i - 1   ,				_UpperCAmelCase      )
                     seq.append(ops[i][j]      )
                     return seq
              else:
                     lowercase  :		Tuple						=      assemble_transformation(_UpperCAmelCase   ,				_UpperCAmelCase   ,				j - 1      )
                     seq.append(ops[i][j]      )
                     return seq


if __name__ == "__main__":
      lowercase	:      List[str]	=       compute_transform_tables('''Python''', '''Algorithms''', -1, 1, 2, 2)

      lowercase	:      Optional[int]	=       len(operations)
      lowercase	:      Optional[Any]	=       len(operations[0])
      lowercase	:      Any	=       assemble_transformation(operations, m - 1, n - 1)

      lowercase	:      int	=       list('''Python''')
      lowercase	:      Tuple	=       0
      lowercase	:      Tuple	=       0

      with open('''min_cost.txt''', '''w''') as file:
            for op in sequence:
                  print(''''''.join(string))

                  if op[0] == "C":
                        file.write('''%-16s''' % '''Copy %c''' % op[1])
                        file.write('''\t\t\t''' + ''''''.join(string))
                        file.write('''\r\n''')

                        cost -= 1
                  elif op[0] == "R":
                        lowercase	:      Any	=       op[2]

                        file.write('''%-16s''' % ('''Replace %c''' % op[1] + ''' with ''' + str(op[2])))
                        file.write('''\t\t''' + ''''''.join(string))
                        file.write('''\r\n''')

                        cost += 1
                  elif op[0] == "D":
                        string.pop(i)

                        file.write('''%-16s''' % '''Delete %c''' % op[1])
                        file.write('''\t\t\t''' + ''''''.join(string))
                        file.write('''\r\n''')

                        cost += 2
                  else:
                        string.insert(i, op[1])

                        file.write('''%-16s''' % '''Insert %c''' % op[1])
                        file.write('''\t\t\t''' + ''''''.join(string))
                        file.write('''\r\n''')

                        cost += 2

                  i += 1

            print(''''''.join(string))
            print('''Cost: ''', cost)

            file.write('''\r\nMinimum cost: ''' + str(cost))










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase	:      Optional[int]				=       {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase	:      List[str]				=       [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

      lowercase	:      int				=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




