import enum from typing import Annotated from numpy.typing import ArrayLike 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[ArrayLike, dict(dtype='float32', writable=False, shape=(None, None), order='C', device='cpu')], arg1: bool, /) -> Annotated[ArrayLike, dict(dtype='float32')]: ... def process_float64(self, arg0: Annotated[ArrayLike, dict(dtype='float64', writable=False, shape=(None, None), order='C', device='cpu')], arg1: bool, /) -> Annotated[ArrayLike, dict(dtype='float64')]: ... def process_int32(self, arg0: Annotated[ArrayLike, dict(dtype='int32', writable=False, shape=(None, None), order='C', device='cpu')], arg1: bool, /) -> Annotated[ArrayLike, dict(dtype='int32')]: ... def process_int16(self, arg0: Annotated[ArrayLike, dict(dtype='int16', writable=False, shape=(None, None), order='C', device='cpu')], arg1: bool, /) -> Annotated[ArrayLike, dict(dtype='int16')]: ... def num_clips(self) -> int: ... def delay(self) -> float: ... def engine(self) -> str: ... def clear(self) -> None: ... HQ: int = 4 LQ: int = 1 MQ: int = 2 QQ: int = 0 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_INT16_I: soxr_datatype_t = soxr_datatype_t.SOXR_INT16_I SOXR_INT32_I: soxr_datatype_t = soxr_datatype_t.SOXR_INT32_I VHQ: int = 6 def csoxr_divide_proc_float32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float32', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float32')]: ... def csoxr_divide_proc_float64(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float64', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float64')]: ... def csoxr_divide_proc_int16(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int16', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int16')]: ... def csoxr_divide_proc_int32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int32', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int32')]: ... def csoxr_oneshot_float32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float32', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float32')]: ... def csoxr_oneshot_float64(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float64', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float64')]: ... def csoxr_oneshot_int16(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int16', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int16')]: ... def csoxr_oneshot_int32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int32', writable=False, shape=(None, None), order='C', device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int32')]: ... def csoxr_split_ch_float32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float32', writable=False, shape=(None, None), device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float32')]: ... def csoxr_split_ch_float64(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='float64', writable=False, shape=(None, None), device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='float64')]: ... def csoxr_split_ch_int16(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int16', writable=False, shape=(None, None), device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int16')]: ... def csoxr_split_ch_int32(arg0: float, arg1: float, arg2: Annotated[ArrayLike, dict(dtype='int32', writable=False, shape=(None, None), device='cpu')], arg3: int, /) -> Annotated[ArrayLike, dict(dtype='int32')]: ... def libsoxr_version() -> str: ... class soxr_datatype_t(enum.Enum): SOXR_FLOAT32_I = 0 SOXR_FLOAT64_I = 1 SOXR_INT32_I = 2 SOXR_INT16_I = 3