Videre

linedance-app/venv/lib/python3.12/site-packages/soxr/soxr_ext.pyi

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+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