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