





def      UpperCAmelCase_   (     __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase,    ):
    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      UpperCAmelCase_   (     __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase     ):
    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__":
    lowerCamelCase_						, lowerCamelCase_  						=       compute_transform_tables("Python", "Algorithms", -1, 1, 2, 2)

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

    lowerCamelCase_  						=       list("Python")
    lowerCamelCase_  						=       0
    lowerCamelCase_  						=       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_  						=       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_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase_  						=       {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["MarianTokenizer"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       [
        "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "MarianForCausalLM",
        "MarianModel",
        "MarianMTModel",
        "MarianPreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_  						=       ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
    from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_marian import MarianTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_marian import (
            MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarianForCausalLM,
            MarianModel,
            MarianMTModel,
            MarianPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
    import sys

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






