import enum from typing import Annotated import numpy from numpy.typing import NDArray def libsoxr_version() -> str: ... class CSoxr: def __init__(self, arg0: float, arg1: float, arg2: int, arg3: soxr_datatype_t, arg4: int, /) -> None: ... @property def in_rate(self) -> float: ... @property def out_rate(self) -> float: ... @property def ntype(self) -> soxr_datatype_t: ... @property def channels(self) -> int: ... @property def ended(self) -> bool: ... def process_float32(self, arg0: Annotated[NDArray[numpy.float32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg1: bool, /) -> NDArray[numpy.float32]: ... def process_float64(self, arg0: Annotated[NDArray[numpy.float64], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg1: bool, /) -> NDArray[numpy.float64]: ... def process_int32(self, arg0: Annotated[NDArray[numpy.int32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg1: bool, /) -> NDArray[numpy.int32]: ... def process_int16(self, arg0: Annotated[NDArray[numpy.int16], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg1: bool, /) -> NDArray[numpy.int16]: ... def num_clips(self) -> int: ... def delay(self) -> float: ... def engine(self) -> str: ... def clear(self) -> None: ... def csoxr_divide_proc_float32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float32]: ... def csoxr_divide_proc_float64(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float64], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float64]: ... def csoxr_divide_proc_int32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int32]: ... def csoxr_divide_proc_int16(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int16], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int16]: ... def csoxr_split_ch_float32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float32], dict(shape=(None, None), device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float32]: ... def csoxr_split_ch_float64(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float64], dict(shape=(None, None), device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float64]: ... def csoxr_split_ch_int32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int32], dict(shape=(None, None), device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int32]: ... def csoxr_split_ch_int16(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int16], dict(shape=(None, None), device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int16]: ... def csoxr_oneshot_float32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float32]: ... def csoxr_oneshot_float64(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.float64], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.float64]: ... def csoxr_oneshot_int32(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int32], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int32]: ... def csoxr_oneshot_int16(arg0: float, arg1: float, arg2: Annotated[NDArray[numpy.int16], dict(shape=(None, None), order='C', device='cpu', writable=False)], arg3: int, /) -> NDArray[numpy.int16]: ... class soxr_datatype_t(enum.Enum): SOXR_FLOAT32_I = 0 SOXR_FLOAT64_I = 1 SOXR_INT32_I = 2 SOXR_INT16_I = 3 SOXR_FLOAT32_I: soxr_datatype_t = soxr_datatype_t.SOXR_FLOAT32_I SOXR_FLOAT64_I: soxr_datatype_t = soxr_datatype_t.SOXR_FLOAT64_I SOXR_INT32_I: soxr_datatype_t = soxr_datatype_t.SOXR_INT32_I SOXR_INT16_I: soxr_datatype_t = soxr_datatype_t.SOXR_INT16_I QQ: int = 0 LQ: int = 1 MQ: int = 2 HQ: int = 4 VHQ: int = 6