





def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		)					->  tuple[list[list[int]], list[list[str]]]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		list(_UpperCAmelCase      )
      SCREAMING_SNAKE_CASE						=		list(_UpperCAmelCase      )
      SCREAMING_SNAKE_CASE						=		len(_UpperCAmelCase      )
      SCREAMING_SNAKE_CASE						=		len(_UpperCAmelCase      )

      SCREAMING_SNAKE_CASE						=		[
          [0 for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
      ]
      SCREAMING_SNAKE_CASE						=		[
          ['0' for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
      ]

      for i in range(1					,		len_source_seq + 1      ):
            SCREAMING_SNAKE_CASE						=		i * delete_cost
            SCREAMING_SNAKE_CASE						=		F"""D{source_seq[i - 1]:c}"""

      for i in range(1					,		len_destination_seq + 1      ):
            SCREAMING_SNAKE_CASE						=		i * insert_cost
            SCREAMING_SNAKE_CASE						=		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]:
                        SCREAMING_SNAKE_CASE						=		costs[i - 1][j - 1] + copy_cost
                        SCREAMING_SNAKE_CASE						=		F"""C{source_seq[i - 1]:c}"""
                  else:
                        SCREAMING_SNAKE_CASE						=		costs[i - 1][j - 1] + replace_cost
                        SCREAMING_SNAKE_CASE						=		F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]      )

                  if costs[i - 1][j] + delete_cost < costs[i][j]:
                        SCREAMING_SNAKE_CASE						=		costs[i - 1][j] + delete_cost
                        SCREAMING_SNAKE_CASE						=		F"""D{source_seq[i - 1]:c}"""

                  if costs[i][j - 1] + insert_cost < costs[i][j]:
                        SCREAMING_SNAKE_CASE						=		costs[i][j - 1] + insert_cost
                        SCREAMING_SNAKE_CASE						=		F"""I{destination_seq[j - 1]:c}"""

      return costs, ops



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE      )					->  list[str]:


      '''simple docstring'''


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


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE_		  =			compute_transform_tables("""Python""", """Algorithms""", -1, 1, 2, 2)

      SCREAMING_SNAKE_CASE_		  =			len(operations)
      SCREAMING_SNAKE_CASE_		  =			len(operations[0])
      SCREAMING_SNAKE_CASE_		  =			assemble_transformation(operations, m - 1, n - 1)

      SCREAMING_SNAKE_CASE_		  =			list("""Python""")
      SCREAMING_SNAKE_CASE_		  =			0
      SCREAMING_SNAKE_CASE_		  =			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":
                        SCREAMING_SNAKE_CASE_		  =			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_tokenizers_available, is_torch_available


_UpperCamelCase:					Optional[Any]     				=	{
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					Union[str, Any]     				=	['CodeGenTokenizerFast']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					str     				=	[
         'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
         'CodeGenForCausalLM',
         'CodeGenModel',
         'CodeGenPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
     from .tokenization_codegen import CodeGenTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_codegen_fast import CodeGenTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_codegen import (
              CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
              CodeGenForCausalLM,
              CodeGenModel,
              CodeGenPreTrainedModel,
          )

else:
     import sys

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