🔧 .mypyignore cleanup (#392)

Author: jorenham

.mypyignore

@@ -20,28 +20,30 @@ scipy\.stats\._rcont\.rcont
 # why is this even included in the wheels?
 scipy\.special\._precompute\..*
 
-# omitted methods that always return `NotImplemented` or always raise
-# scipy\.sparse\._(\w+)\._(\w+)\.__(len|i(add|mul|sub)|(i|r)(true)?div)__
-
 # workarounds for mypy bugs
-scipy\.signal\._short_time_fft\.(FFT_MODE_TYPE|PAD_TYPE)  # `Literal[...] != def (*, **)`
-scipy\.(_lib|integrate|stats)\.((_|\w)+\.)+__replace__  # `NamedTuple` on `python >= 3.13`
-
-# stubtest doesn't understand `if sys.version_info >= _: ...` blocks
-scipy\.sparse\.(\w+)\.warn
+scipy\.(_lib|integrate|stats)\.((_|\w)+\.)+__replace__  # `NamedTuple` on `python>=3.13`
+scipy\.sparse\.(\w+)\.warn  # all `if sys.version_info` branches are checked...?
 
 # annoying and useless __new__
 scipy\.stats\.(_new_distributions\.)?Normal\.__new__
 
 # mypy fails recognize type-check-only ufunc subtypes as ufuncs
+# https://github.com/KotlinIsland/basedmypy/issues/815
 # https://github.com/KotlinIsland/basedmypy/issues/816
-scipy\.special\._basic\.digamma
-scipy\.special\._support_alternative_backends\..*
 scipy\.stats\._qmvnt\.phi(nv)?
-
-# https://github.com/KotlinIsland/basedmypy/issues/815
-scipy\.special\._ufuncs\._(hypergeom|nbinom|nc(f|t))_(mean|variance|skewness|kurtosis_excess)
+scipy\.special\._basic\.digamma
+scipy\.special\._support_alternative_backends\.betaincc?
+scipy\.special\._support_alternative_backends\.gamma(incc?|ln)
+scipy\.special\._support_alternative_backends\.(rel_)?entr
+scipy\.special\._support_alternative_backends\.erfc?
+scipy\.special\._support_alternative_backends\.(exp|log)it
+scipy\.special\._support_alternative_backends\.i(0|1)e?
+scipy\.special\._support_alternative_backends\.xlogy
+scipy\.special\._support_alternative_backends\.chdtrc?
+scipy\.special\._support_alternative_backends\.(log_)?ndtri?
+scipy\.special\._support_alternative_backends\.stdtr
 scipy\.special\._ufuncs\._(hypergeom|n?binom)_(pm|cd|pp|i?s)f
+scipy\.special\._ufuncs\._(hypergeom|nbinom|nc(f|t))_(mean|variance|skewness|kurtosis_excess)
 scipy\.special\._ufuncs\._(beta|cauchy|invgauss|landau|nc(f|t|x2)|skewnorm)_(pd|cd|pp|i?s)f
 scipy\.special\._ufuncs\._cosine_(inv)?cdf
 scipy\.special\._ufuncs\._(cos|sin)pi

scipy-stubs/signal/_short_time_fft.pyi

@@ -8,8 +8,12 @@ from .windows._windows import _ToWindow
 
 __all__ = ["ShortTimeFFT"]
 
+###
+
 _InexactND: TypeAlias = onp.ArrayND[np.inexact[Any]]
 
+_PadType: TypeAlias = Literal["zeros", "edge", "even", "odd"]
+_FFTModeType: TypeAlias = Literal["twosided", "centered", "onesided", "onesided2X"]
 _ScaleTo: TypeAlias = Literal["magnitude", "psd"]
 _Detr: TypeAlias = (
     Literal["linear", "constant"]
@@ -19,77 +23,100 @@ _Detr: TypeAlias = (
 
 ###
 
-# awkward naming, but this matches the "attempts at type-aliases" in the implementation
-PAD_TYPE: TypeAlias = Literal["zeros", "edge", "even", "odd"]
-FFT_MODE_TYPE: TypeAlias = Literal["twosided", "centered", "onesided", "onesided2X"]
-
 class ShortTimeFFT:
-    def __init__(
-        self,
-        /,
-        win: _InexactND,
-        hop: int,
-        fs: float,
-        *,
-        fft_mode: FFT_MODE_TYPE = "onesided",
-        mfft: int | None = None,
-        dual_win: _InexactND | None = None,
-        scale_to: _ScaleTo | None = None,
-        phase_shift: int | None = 0,
-    ) -> None: ...
-    @classmethod
-    def from_dual(
-        cls,
-        dual_win: _InexactND,
-        hop: int,
-        fs: float,
-        *,
-        fft_mode: FFT_MODE_TYPE = "onesided",
-        mfft: int | None = None,
-        scale_to: _ScaleTo | None = None,
-        phase_shift: int | None = 0,
-    ) -> Self: ...
-    @classmethod
-    def from_window(
-        cls,
-        win_param: _ToWindow,
-        fs: float,
-        nperseg: int,
-        noverlap: int,
-        *,
-        symmetric_win: bool = False,
-        fft_mode: FFT_MODE_TYPE = "onesided",
-        mfft: int | None = None,
-        scale_to: _ScaleTo | None = None,
-        phase_shift: int | None = 0,
-    ) -> Self: ...
     @property
     def win(self, /) -> _InexactND: ...
     @property
+    def dual_win(self, /) -> _InexactND: ...
+    @property
     def hop(self, /) -> int: ...
     @property
+    def invertible(self, /) -> bool: ...
+    @property
+    def fac_magnitude(self, /) -> float: ...
+    @property
+    def fac_psd(self, /) -> float: ...
+    @property
+    def m_num(self, /) -> int: ...
+    @property
+    def m_num_mid(self, /) -> int: ...
+    @property
+    def k_min(self, /) -> int: ...
+    @property
+    def p_min(self, /) -> int: ...
+    @property
+    def lower_border_end(self, /) -> tuple[int, int]: ...
+    @property
+    def delta_t(self, /) -> float: ...
+    @property
+    def delta_f(self, /) -> float: ...
+    @property
+    def f_pts(self, /) -> int: ...
+    @property
+    def f(self, /) -> _InexactND: ...
+    @property
+    def onesided_fft(self, /) -> bool: ...
+
+    #
+    @property
     def T(self, /) -> float: ...
     @T.setter
     def T(self, /, v: float) -> None: ...
+
+    #
     @property
     def fs(self, /) -> float: ...
     @fs.setter
     def fs(self, /, v: float) -> None: ...
+
+    #
     @property
-    def fft_mode(self, /) -> FFT_MODE_TYPE: ...
+    def fft_mode(self, /) -> _FFTModeType: ...
     @fft_mode.setter
-    def fft_mode(self, /, t: FFT_MODE_TYPE) -> None: ...
+    def fft_mode(self, /, t: _FFTModeType) -> None: ...
+
+    #
     @property
     def mfft(self, /) -> int: ...
     @mfft.setter
     def mfft(self, /, n_: int) -> None: ...
-    @property
-    def scaling(self, /) -> _ScaleTo | None: ...
-    def scale_to(self, /, scaling: _ScaleTo) -> None: ...
+
+    #
     @property
     def phase_shift(self, /) -> int | None: ...
     @phase_shift.setter
     def phase_shift(self, /, v: int | None) -> None: ...
+
+    #
+    @property
+    def scaling(self, /) -> _ScaleTo | None: ...
+
+    #
+    def __init__(
+        self,
+        /,
+        win: _InexactND,
+        hop: int,
+        fs: float,
+        *,
+        fft_mode: _FFTModeType = "onesided",
+        mfft: int | None = None,
+        dual_win: _InexactND | None = None,
+        scale_to: _ScaleTo | None = None,
+        phase_shift: int | None = 0,
+    ) -> None: ...
+
+    #
+    def k_max(self, /, n: int) -> int: ...
+    def p_max(self, /, n: int) -> int: ...
+    def p_num(self, /, n: int) -> int: ...
+    def nearest_k_p(self, /, k: int, left: bool = True) -> int: ...
+    def upper_border_begin(self, /, n: int) -> tuple[int, int]: ...
+    def p_range(self, /, n: int, p0: int | None = None, p1: int | None = None) -> tuple[int, int]: ...
+    def t(self, /, n: int, p0: int | None = None, p1: int | None = None, k_offset: int = 0) -> _InexactND: ...
+    def scale_to(self, /, scaling: _ScaleTo) -> None: ...
+
+    #
     def stft(
         self,
         /,
@@ -98,9 +125,19 @@ class ShortTimeFFT:
         p1: int | None = None,
         *,
         k_offset: int = 0,
-        padding: PAD_TYPE = "zeros",
+        padding: _PadType = "zeros",
         axis: int = -1,
     ) -> _InexactND: ...
+    def istft(
+        self,
+        /,
+        S: _InexactND,
+        k0: int = 0,
+        k1: int | None = None,
+        *,
+        f_axis: int = -2,
+        t_axis: int = -1,
+    ) -> _InexactND: ...
     def stft_detrend(
         self,
         /,
@@ -110,7 +147,7 @@ class ShortTimeFFT:
         p1: int | None = None,
         *,
         k_offset: int = 0,
-        padding: PAD_TYPE = "zeros",
+        padding: _PadType = "zeros",
         axis: int = -1,
     ) -> _InexactND: ...
     def spectrogram(
@@ -123,58 +160,41 @@ class ShortTimeFFT:
         p0: int | None = None,
         p1: int | None = None,
         k_offset: int = 0,
-        padding: PAD_TYPE = "zeros",
+        padding: _PadType = "zeros",
         axis: int = -1,
     ) -> _InexactND: ...
-    @property
-    def dual_win(self, /) -> _InexactND: ...
-    @property
-    def invertible(self, /) -> bool: ...
-    def istft(
-        self,
-        /,
-        S: _InexactND,
-        k0: int = 0,
-        k1: int | None = None,
-        *,
-        f_axis: int = -2,
-        t_axis: int = -1,
-    ) -> _InexactND: ...
-    @property
-    def fac_magnitude(self, /) -> float: ...
-    @property
-    def fac_psd(self, /) -> float: ...
-    @property
-    def m_num(self, /) -> int: ...
-    @property
-    def m_num_mid(self, /) -> int: ...
-    @property
-    def k_min(self, /) -> int: ...
-    @property
-    def p_min(self, /) -> int: ...
-    def k_max(self, /, n: int) -> int: ...
-    def p_max(self, /, n: int) -> int: ...
-    def p_num(self, /, n: int) -> int: ...
-    @property
-    def lower_border_end(self, /) -> tuple[int, int]: ...
-    def upper_border_begin(self, /, n: int) -> tuple[int, int]: ...
-    @property
-    def delta_t(self, /) -> float: ...
-    def p_range(self, /, n: int, p0: int | None = None, p1: int | None = None) -> tuple[int, int]: ...
-    def t(self, /, n: int, p0: int | None = None, p1: int | None = None, k_offset: int = 0) -> _InexactND: ...
-    def nearest_k_p(self, /, k: int, left: bool = True) -> int: ...
-    @property
-    def delta_f(self, /) -> float: ...
-    @property
-    def f_pts(self, /) -> int: ...
-    @property
-    def onesided_fft(self, /) -> bool: ...
-    @property
-    def f(self, /) -> _InexactND: ...
     def extent(
         self,
         /,
         n: int,
         axes_seq: Literal["tf", "ft"] = "tf",
         center_bins: bool = False,
     ) -> tuple[float, float, float, float]: ...
+
+    #
+    @classmethod
+    def from_dual(
+        cls,
+        dual_win: _InexactND,
+        hop: int,
+        fs: float,
+        *,
+        fft_mode: _FFTModeType = "onesided",
+        mfft: int | None = None,
+        scale_to: _ScaleTo | None = None,
+        phase_shift: int | None = 0,
+    ) -> Self: ...
+    @classmethod
+    def from_window(
+        cls,
+        win_param: _ToWindow,
+        fs: float,
+        nperseg: int,
+        noverlap: int,
+        *,
+        symmetric_win: bool = False,
+        fft_mode: _FFTModeType = "onesided",
+        mfft: int | None = None,
+        scale_to: _ScaleTo | None = None,
+        phase_shift: int | None = 0,
+    ) -> Self: ...

scipy-stubs/sparse/base.pyi

@@ -1,5 +1,7 @@
+# ruff: noqa: ANN401
 # This module is not meant for public use and will be removed in SciPy v2.0.0.
-from typing import Final
+
+from typing import Any, Final
 from typing_extensions import deprecated
 
 from . import _base, _matrix
@@ -21,7 +23,7 @@ __all__ = [
     "validateaxis",
 ]
 
-MAXPRINT: Final[int]
+MAXPRINT: Final[int] = ...
 
 @deprecated("will be removed in SciPy v2.0.0")
 class SparseWarning(_base.SparseWarning): ...
@@ -36,22 +38,22 @@ class SparseEfficiencyWarning(_base.SparseEfficiencyWarning): ...
 class spmatrix(_matrix.spmatrix): ...
 
 @deprecated("will be removed in SciPy v2.0.0")
-def issparse(x: object) -> object: ...
+def issparse(x: object) -> bool: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def isspmatrix(x: object) -> object: ...
+def isspmatrix(x: object) -> bool: ...
 
 # sputils
 @deprecated("will be removed in SciPy v2.0.0")
-def check_shape(args: object, current_shape: object = ..., *, allow_nd: object = ...) -> object: ...
+def check_shape(args: object, current_shape: object = ..., *, allow_nd: object = ...) -> Any: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def check_reshape_kwargs(kwargs: object) -> object: ...
+def check_reshape_kwargs(kwargs: object) -> Any: ...
 @deprecated("will be removed in SciPy v2.0.0")
 def validateaxis(axis: object) -> None: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def isdense(x: object) -> object: ...
+def isdense(x: object) -> Any: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def isscalarlike(x: object) -> object: ...
+def isscalarlike(x: object) -> Any: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def get_sum_dtype(dtype: object) -> object: ...
+def get_sum_dtype(dtype: object) -> Any: ...
 @deprecated("will be removed in SciPy v2.0.0")
-def asmatrix(data: object, dtype: object = ...) -> object: ...
+def asmatrix(data: object, dtype: object = ...) -> Any: ...