


"""simple docstring"""







def _A		(		lowercase ,					lowercase ,					lowercase ,					lowercase ,					lowercase ,					lowercase ,					):







    """simple docstring"""
    a					=list(_UpperCAmelCase	)
    a					=list(_UpperCAmelCase	)
    a					=len(_UpperCAmelCase	)
    a					=len(_UpperCAmelCase	)

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

    for i in range(1 ,					len_source_seq + 1	):
        a					=i * delete_cost
        a					=f'''D{source_seq[i - 1]:c}'''

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

            if costs[i - 1][j] + delete_cost < costs[i][j]:
                a					=costs[i - 1][j] + delete_cost
                a					=f'''D{source_seq[i - 1]:c}'''

            if costs[i][j - 1] + insert_cost < costs[i][j]:
                a					=costs[i][j - 1] + insert_cost
                a					=f'''I{destination_seq[j - 1]:c}'''

    return costs, ops
def _A		(		lowercase ,					lowercase ,					lowercase	):







    """simple docstring"""






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


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

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

  lowerCamelCase_     :     int    		=						list("""Python""")
  lowerCamelCase_     :     Tuple    		=						0
  lowerCamelCase_     :     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":
        lowerCamelCase_     :     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


lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_     :     List[str]    		=						[
           """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DinatForImageClassification""",
           """DinatModel""",
           """DinatPreTrainedModel""",
           """DinatBackbone""",
       ]

if TYPE_CHECKING:
       from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_dinat import (
                  DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DinatBackbone,
                  DinatForImageClassification,
                  DinatModel,
                  DinatPreTrainedModel,
              )

else:
       import sys

       lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)