# This file is auto-generated by python/tools/gen_stubs.py. # Do not edit by hand. To update it after changing the public Python API, # rebuild the package and run: # python tools/gen_stubs.py --output src/sentencepiece/__init__.pyi from typing import Any, IO, Literal, Sequence, overload __version__: str _OutType = type[int] | type[str] | type[bytes] | Literal["serialized_proto", "proto", "numpy", "offset_mapping"] _DecodeOutType = type[str] | type[bytes] | Literal["serialized_proto", "proto", "offset_mapping"] class ThreadPool: def __init__(self, num_threads: int) -> None: ... def num_threads(self) -> int: ... class SentencePieceProcessor: def __getitem__(self, piece: str) -> int: ... def __init__(self, model_file: str | None = ..., model_proto: bytes | None = ..., return_type: _OutType | None = ..., add_bos: bool = ..., add_eos: bool = ..., reverse: bool = ..., emit_unk_piece: bool = ..., enable_sampling: bool = ..., nbest_size: int = ..., alpha: float = ..., num_threads: int = ..., out_type: _OutType | None = ...) -> None: ... def __len__(self) -> int: ... def CalculateEntropy(self, input: str | Sequence[str], alpha: float, num_threads: int | None = ...) -> float | list[float]: ... def Decode(self, input: int | str | bytes | Sequence[int] | Sequence[str] | Sequence[bytes] | Sequence[Sequence[int]] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _DecodeOutType | None = ..., return_bytes: bool | None = ...) -> Any: ... def DecodeIds(self, input: int | Sequence[int] | Sequence[Sequence[int]], return_type: _DecodeOutType = ..., out_type: _DecodeOutType = ..., **kwargs: Any) -> Any: ... def DecodeIdsAsImmutableProto(self, input: int | Sequence[int] | Sequence[Sequence[int]], **kwargs: Any) -> Any: ... def DecodeIdsAsProto(self, input: int | Sequence[int] | Sequence[Sequence[int]], **kwargs: Any) -> Any: ... def DecodeIdsAsSerializedProto(self, input: int | Sequence[int] | Sequence[Sequence[int]], return_type: Literal["serialized_proto"] = ..., out_type: Literal["serialized_proto"] = ..., **kwargs: Any) -> Any: ... def DecodePieces(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType = ..., out_type: _DecodeOutType = ..., **kwargs: Any) -> Any: ... def DecodePiecesAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], **kwargs: Any) -> Any: ... def DecodePiecesAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], **kwargs: Any) -> Any: ... def DecodePiecesAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: Literal["serialized_proto"] = ..., out_type: Literal["serialized_proto"] = ..., **kwargs: Any) -> Any: ... def Detokenize(self, input: int | str | bytes | Sequence[int] | Sequence[str] | Sequence[bytes] | Sequence[Sequence[int]] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _DecodeOutType | None = ..., return_bytes: bool | None = ...) -> Any: ... def Encode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., enable_sampling: bool | None = ..., nbest_size: int | None = ..., alpha: float | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def EncodeAsIds(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsNumpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsOffsetMapping(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsPieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def EncodeAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def GetPieceSize(self) -> int: ... @overload def GetScore(self, id: int) -> float: ... @overload def GetScore(self, id: list[int]) -> list[float]: ... @overload def IdToPiece(self, id: int) -> str: ... @overload def IdToPiece(self, id: list[int]) -> list[str]: ... @overload def IsByte(self, id: int) -> bool: ... @overload def IsByte(self, id: list[int]) -> list[bool]: ... @overload def IsControl(self, id: int) -> bool: ... @overload def IsControl(self, id: list[int]) -> list[bool]: ... @overload def IsUnknown(self, id: int) -> bool: ... @overload def IsUnknown(self, id: list[int]) -> list[bool]: ... @overload def IsUnused(self, id: int) -> bool: ... @overload def IsUnused(self, id: list[int]) -> list[bool]: ... def Load(self, model_file: str | None = ..., model_proto: bytes | None = ...) -> bool: ... def LoadFromFile(self, arg: str) -> bool: ... def LoadFromSerializedProto(self, serialized: bytes) -> bool: ... def NBestEncode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., nbest_size: int | None = ..., out_type: _OutType | None = ...) -> Any: ... def NBestEncodeAsIds(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def NBestEncodeAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def NBestEncodeAsNumpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def NBestEncodeAsPieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def NBestEncodeAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def NBestEncodeAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def Normalize(self, input: str | bytes | Sequence[str] | Sequence[bytes], with_offsets: bool | None = ...) -> Any: ... def OverrideNormalizerSpec(self, **kwargs: object) -> bool: ... def ParallelEncode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., chunk_len: int | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def ParallelEncodeAsIds(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def ParallelEncodeAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def ParallelEncodeAsNumpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def ParallelEncodeAsPieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def ParallelEncodeAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def ParallelEncodeAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... @overload def PieceToId(self, piece: str) -> int: ... @overload def PieceToId(self, piece: list[str]) -> list[int]: ... def SampleEncodeAndScore(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., num_samples: int | None = ..., alpha: float | None = ..., wor: bool | None = ..., include_best: bool | None = ..., out_type: _OutType | None = ...) -> Any: ... def SampleEncodeAndScoreAsIds(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAndScoreAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAndScoreAsPieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAndScoreAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAndScoreAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsIds(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsImmutableProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsNumpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsPieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def SampleEncodeAsSerializedProto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def Tokenize(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., enable_sampling: bool | None = ..., nbest_size: int | None = ..., alpha: float | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def bos_id(self) -> int: ... def calculate_entropy(self, input: str | Sequence[str], alpha: float, num_threads: int | None = ...) -> float | list[float]: ... def decode(self, input: int | str | bytes | Sequence[int] | Sequence[str] | Sequence[bytes] | Sequence[Sequence[int]] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _DecodeOutType | None = ..., return_bytes: bool | None = ...) -> Any: ... def decode_ids(self, input: int | Sequence[int] | Sequence[Sequence[int]], return_type: _DecodeOutType = ..., out_type: _DecodeOutType = ..., **kwargs: Any) -> Any: ... def decode_ids_as_immutable_proto(self, input: int | Sequence[int] | Sequence[Sequence[int]], **kwargs: Any) -> Any: ... def decode_ids_as_proto(self, input: int | Sequence[int] | Sequence[Sequence[int]], **kwargs: Any) -> Any: ... def decode_ids_as_serialized_proto(self, input: int | Sequence[int] | Sequence[Sequence[int]], return_type: Literal["serialized_proto"] = ..., out_type: Literal["serialized_proto"] = ..., **kwargs: Any) -> Any: ... def decode_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType = ..., out_type: _DecodeOutType = ..., **kwargs: Any) -> Any: ... def decode_pieces_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], **kwargs: Any) -> Any: ... def decode_pieces_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], **kwargs: Any) -> Any: ... def decode_pieces_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: Literal["serialized_proto"] = ..., out_type: Literal["serialized_proto"] = ..., **kwargs: Any) -> Any: ... def detokenize(self, input: int | str | bytes | Sequence[int] | Sequence[str] | Sequence[bytes] | Sequence[Sequence[int]] | Sequence[Sequence[str]] | Sequence[Sequence[bytes]], return_type: _DecodeOutType | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _DecodeOutType | None = ..., return_bytes: bool | None = ...) -> Any: ... def encode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., enable_sampling: bool | None = ..., nbest_size: int | None = ..., alpha: float | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def encode_as_ids(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_numpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_offset_mapping(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def encode_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def eos_id(self) -> int: ... @classmethod def from_file(cls, model_file: str, return_type: _OutType | None = ..., **kwargs: Any) -> SentencePieceProcessor: ... @classmethod def from_proto(cls, model_proto: bytes, return_type: _OutType | None = ..., **kwargs: Any) -> SentencePieceProcessor: ... def get_piece_size(self) -> int: ... @overload def get_score(self, id: int) -> float: ... @overload def get_score(self, id: list[int]) -> list[float]: ... @overload def id_to_piece(self, id: int) -> str: ... @overload def id_to_piece(self, id: list[int]) -> list[str]: ... @overload def is_byte(self, id: int) -> bool: ... @overload def is_byte(self, id: list[int]) -> list[bool]: ... @overload def is_control(self, id: int) -> bool: ... @overload def is_control(self, id: list[int]) -> list[bool]: ... @overload def is_unknown(self, id: int) -> bool: ... @overload def is_unknown(self, id: list[int]) -> list[bool]: ... @overload def is_unused(self, id: int) -> bool: ... @overload def is_unused(self, id: list[int]) -> list[bool]: ... def load(self, model_file: str | None = ..., model_proto: bytes | None = ...) -> bool: ... def load_from_file(self, arg: str) -> bool: ... def load_from_serialized_proto(self, serialized: bytes) -> bool: ... def nbest_encode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., nbest_size: int | None = ..., out_type: _OutType | None = ...) -> Any: ... def nbest_encode_as_ids(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def nbest_encode_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def nbest_encode_as_numpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def nbest_encode_as_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def nbest_encode_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def nbest_encode_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., **kwargs: Any) -> Any: ... def normalize(self, input: str | bytes | Sequence[str] | Sequence[bytes], with_offsets: bool | None = ...) -> Any: ... def override_normalizer_spec(self, **kwargs: object) -> bool: ... def pad_id(self) -> int: ... def parallel_encode(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., chunk_len: int | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def parallel_encode_as_ids(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def parallel_encode_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def parallel_encode_as_numpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def parallel_encode_as_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def parallel_encode_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def parallel_encode_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], **kwargs: Any) -> Any: ... def piece_size(self) -> int: ... @overload def piece_to_id(self, piece: str) -> int: ... @overload def piece_to_id(self, piece: list[str]) -> list[int]: ... def sample_encode_and_score(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., num_samples: int | None = ..., alpha: float | None = ..., wor: bool | None = ..., include_best: bool | None = ..., out_type: _OutType | None = ...) -> Any: ... def sample_encode_and_score_as_ids(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_and_score_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_and_score_as_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_and_score_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_and_score_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], num_samples: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_ids(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_immutable_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_numpy(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_pieces(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def sample_encode_as_serialized_proto(self, input: str | bytes | Sequence[str] | Sequence[bytes], nbest_size: int | None = ..., alpha: float | None = ..., **kwargs: Any) -> Any: ... def serialized_model_proto(self) -> bytes: ... def tokenize(self, input: str | bytes | Sequence[str] | Sequence[bytes], return_type: _OutType | None = ..., add_bos: bool | None = ..., add_eos: bool | None = ..., reverse: bool | None = ..., emit_unk_piece: bool | None = ..., enable_sampling: bool | None = ..., nbest_size: int | None = ..., alpha: float | None = ..., num_threads: int | None = ..., thread_pool: ThreadPool | None = ..., out_type: _OutType | None = ...) -> Any: ... def unk_id(self) -> int: ... def vocab_size(self) -> int: ... class SentencePieceTrainer: def __init__(self) -> None: ... @staticmethod def Train(arg: str | None = ..., logstream: IO[Any] | None = ..., normalizer: SentencePieceNormalizer | None = ..., **kwargs: Any) -> None: ... @staticmethod def train(arg: str | None = ..., logstream: IO[Any] | None = ..., normalizer: SentencePieceNormalizer | None = ..., **kwargs: Any) -> None: ... class SentencePieceNormalizer: def __init__(self, model_file: str | None = ..., model_proto: bytes | None = ..., normalizer_spec: bytes | None = ..., rule_tsv: str | None = ..., rule_name: str | None = ..., norm_map: Sequence[tuple[str, str]] | None = ..., add_dummy_prefix: bool = ..., escape_whitespaces: bool = ..., remove_extra_whitespaces: bool = ...) -> None: ... def Decompile(self) -> list[tuple[str, str]]: ... def Normalize(self, input: str | bytes | Sequence[str] | Sequence[bytes], with_offsets: bool | None = ...) -> Any: ... def decompile(self) -> list[tuple[str, str]]: ... def normalize(self, input: str | bytes | Sequence[str] | Sequence[bytes], with_offsets: bool | None = ...) -> Any: ... def serialized_model_proto(self) -> bytes: ... def serialized_normalizer_spec(self) -> bytes: ... def SetDataDir(data_dir: str) -> None: ... def SetMinLogLevel(v: int) -> None: ... def SetNBestTimeout(timeout_ms: int) -> None: ... def SetRandomGeneratorSeed(seed: int) -> None: ... def set_min_log_level(v: int) -> None: ... def set_nbest_timeout(timeout_ms: int) -> None: ... def set_random_generator_seed(seed: int) -> None: ...