Add initial implementation of resampy library

stubs/resampy/@tests/stubtest_allowlist.txt

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+# Part of internal API which is not needed for public type stubs:
+resampy.interpn

stubs/resampy/METADATA.toml

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+version = "0.4.*"
+upstream_repository = "https://github.com/bmcfee/resampy"
+# Requires a version of numpy with a `py.typed` file
+requires = ["numpy>=1.20"]

stubs/resampy/resampy/__init__.pyi

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+from . import filters as filters
+from .core import *

stubs/resampy/resampy/core.pyi

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+from collections.abc import Callable
+from typing import Any
+from typing_extensions import TypeAlias, TypeVar
+
+import numpy as np
+
+__all__ = ["resample", "resample_nu"]
+
+_FloatArray = TypeVar("_FloatArray", bound=np.ndarray[tuple[int, ...], np.dtype[np.floating[Any]]])
+
+# np.floating[Any] because precision is not important
+
+_FilterType: TypeAlias = str | Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]]
+
+def resample(
+    x: _FloatArray,
+    sr_orig: float,
+    sr_new: float,
+    axis: int = -1,
+    filter: _FilterType = "kaiser_best",
+    parallel: bool = False,
+    *,
+    num_zeros: int = 64,
+    precision: int = 9,
+    rolloff: float = 0.945,
+) -> _FloatArray: ...
+def resample_nu(
+    x: _FloatArray,
+    sr_orig: float,
+    t_out: _FloatArray,
+    axis: int = -1,
+    filter: _FilterType = "kaiser_best",
+    parallel: bool = False,
+    *,
+    num_zeros: int = 64,
+    precision: int = 9,
+    rolloff: float = 0.945,
+) -> _FloatArray: ...

stubs/resampy/resampy/filters.pyi

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+from collections.abc import Callable
+from typing_extensions import TypeAlias
+
+import numpy as np
+
+__all__ = ["get_filter", "clear_cache", "sinc_window"]
+
+# Dictionary to cache loaded filters
+FILTER_CACHE: dict[str, tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]]
+
+# List of filter functions available
+FILTER_FUNCTIONS: list[str]
+
+_FilterType: TypeAlias = str | Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]]
+
+def sinc_window(
+    num_zeros: int = 64,
+    precision: int = 9,
+    window: Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]] | None = None,
+    rolloff: float = 0.945,
+) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def get_filter(
+    name_or_function: _FilterType, *, num_zeros: int = 64, precision: int = 9, rolloff: float = 0.945
+) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def load_filter(filter_name: str) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def clear_cache() -> None: ...

stubs/resampy/resampy/version.pyi

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+from typing import Final
+
+short_version: Final[str]
+version: Final[str]