

def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      )  ->    tuple[list[list[int]], list[list[str]]]:







			'''simple docstring'''

			UpperCAmelCase       		=    list(UpperCamelCase__			)
			UpperCAmelCase       		=    list(UpperCamelCase__			)
			UpperCAmelCase       		=    len(UpperCamelCase__			)
			UpperCAmelCase       		=    len(UpperCamelCase__			)

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

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

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

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

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

			return costs, ops





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    list[str]:







			'''simple docstring'''

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


if __name__ == "__main__":
				__A    :   Optional[Any]          =       compute_transform_tables("Python", "Algorithms", -1, 1, 2, 2)

				__A    :   Tuple          =       len(operations)
				__A    :   List[str]          =       len(operations[0])
				__A    :   Dict          =       assemble_transformation(operations, m - 1, n - 1)

				__A    :   Tuple          =       list("Python")
				__A    :   Optional[int]          =       0
				__A    :   Union[str, Any]          =       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":
																__A    :   int          =       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))










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


__A    :   Tuple          =       {
    "configuration_mobilevitv2": [
        "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileViTV2Config",
        "MobileViTV2OnnxConfig",
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   List[str]          =       [
				    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "MobileViTV2ForImageClassification",
				    "MobileViTV2ForSemanticSegmentation",
				    "MobileViTV2Model",
				    "MobileViTV2PreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    MobileViTVaConfig,
				    MobileViTVaOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mobilevitva import (
								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MobileViTVaForImageClassification,
								    MobileViTVaForSemanticSegmentation,
								    MobileViTVaModel,
								    MobileViTVaPreTrainedModel,
								)

else:
				import sys

				__A    :   Tuple          =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



