🐛 fix wrong parameter defaults

scipy-stubs/cluster/hierarchy.pyi

@@ -87,7 +87,7 @@ class ClusterNode:
         self: ClusterNode, /, id: int, left: None = None, right: None = None, dist: float = 0.0, count: int = 1
     ) -> None: ...
     @overload
-    def __init__(self, /, id: int, left: ClusterNode, right: ClusterNode, dist: float = 0, count: int = 1) -> None: ...
+    def __init__(self, /, id: int, left: ClusterNode, right: ClusterNode, dist: float = 0.0, count: int = 1) -> None: ...
 
     # NOTE: These raise a `ValueError` if passed anything other than `ClusterNode`
     @override

scipy-stubs/fftpack/_realtransforms.pyi

@@ -103,7 +103,7 @@ def dct(
     x: onp.ToFloatND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal: ...
@@ -112,7 +112,7 @@ def dct(
     x: onp.ToComplexND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal | _ArrayComplex: ...
@@ -123,7 +123,7 @@ def idct(
     x: onp.ToFloatND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal: ...
@@ -132,7 +132,7 @@ def idct(
     x: onp.ToComplexND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal | _ArrayComplex: ...
@@ -143,7 +143,7 @@ def dst(
     x: onp.ToFloatND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal: ...
@@ -152,7 +152,7 @@ def dst(
     x: onp.ToComplexND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal | _ArrayComplex: ...
@@ -163,7 +163,7 @@ def idst(
     x: onp.ToFloatND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal: ...
@@ -172,7 +172,7 @@ def idst(
     x: onp.ToComplexND,
     type: DCTType = 2,
     n: onp.ToInt | None = None,
-    axis: op.CanIndex | None = None,
+    axis: op.CanIndex = -1,
     norm: _NormKind = None,
     overwrite_x: onp.ToBool = False,
 ) -> _ArrayReal | _ArrayComplex: ...

scipy-stubs/linalg/_decomp.pyi

@@ -479,7 +479,7 @@ def eigh(
 @overload  # float, eigvals_only: False = ..., select: _SelectA = ...
 def eig_banded(
     a_band: onp.ToFloatND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     select: _SelectA = "a",
@@ -490,7 +490,7 @@ def eig_banded(
 @overload  # float, eigvals_only: False = ..., select: _SelectV (keyword)
 def eig_banded(
     a_band: onp.ToFloatND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     *,
@@ -502,7 +502,7 @@ def eig_banded(
 @overload  # float, eigvals_only: False = ..., select: _SelectI (keyword)
 def eig_banded(
     a_band: onp.ToFloatND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     *,
@@ -514,7 +514,7 @@ def eig_banded(
 @overload  # complex, eigvals_only: False = ..., select: _SelectA = ...
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     select: _SelectA = "a",
@@ -525,7 +525,7 @@ def eig_banded(
 @overload  # complex, eigvals_only: False = ..., select: _SelectV (keyword)
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     *,
@@ -537,7 +537,7 @@ def eig_banded(
 @overload  # complex, eigvals_only: False = ..., select: _SelectI (keyword)
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     eigvals_only: onp.ToFalse = False,
     overwrite_a_band: op.CanBool = False,
     *,
@@ -560,7 +560,7 @@ def eig_banded(
 @overload  # eigvals_only: True  (keyword), select: _SelectA = ... (keyword)
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     *,
     eigvals_only: onp.ToTrue,
     overwrite_a_band: op.CanBool = False,
@@ -584,7 +584,7 @@ def eig_banded(
 @overload  # eigvals_only: True  (keyword), select: _SelectV (keyword)
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     *,
     eigvals_only: onp.ToTrue,
     overwrite_a_band: op.CanBool = False,
@@ -608,7 +608,7 @@ def eig_banded(
 @overload  # eigvals_only: True (keyword), select: _SelectI (keyword)
 def eig_banded(
     a_band: onp.ToComplexND,
-    lower: op.CanBool = True,
+    lower: op.CanBool = False,
     *,
     eigvals_only: onp.ToTrue,
     overwrite_a_band: op.CanBool = False,

scipy-stubs/linalg/_decomp_lu.pyi

@@ -139,7 +139,7 @@ def lu(
     a: onp.ToJustComplexND,
     permute_l: onp.ToTrue,
     overwrite_a: onp.ToBool = False,
-    check_finite: onp.ToBool = False,
+    check_finite: onp.ToBool = True,
     p_indices: onp.ToBool = False,
 ) -> tuple[_ComplexND, _ComplexND]: ...
 @overload  # fallback, permute_l=False, p_indices=False
@@ -168,6 +168,6 @@ def lu(
     a: onp.ToComplexND,
     permute_l: onp.ToTrue,
     overwrite_a: onp.ToBool = False,
-    check_finite: onp.ToBool = False,
+    check_finite: onp.ToBool = True,
     p_indices: onp.ToBool = False,
 ) -> tuple[_InexactND, _InexactND]: ...

scipy-stubs/optimize/_optimize.pyi

@@ -320,7 +320,7 @@ def fmin_cg(
     retall: onp.ToFalse = 0,
     callback: _Callback_1d | None = None,
     c1: onp.ToFloat = 1e-4,
-    c2: onp.ToFloat = 0.9,
+    c2: onp.ToFloat = 0.4,
 ) -> _Float1D: ...
 @overload  # full_output: False = ..., retall: True  (keyword)
 def fmin_cg(
@@ -338,7 +338,7 @@ def fmin_cg(
     retall: onp.ToTrue,
     callback: _Callback_1d | None = None,
     c1: onp.ToFloat = 1e-4,
-    c2: onp.ToFloat = 0.9,
+    c2: onp.ToFloat = 0.4,
 ) -> tuple[_Float1D, _AllVecs]: ...
 @overload  # full_output: True (keyword), retall: False = ...
 def fmin_cg(
@@ -356,7 +356,7 @@ def fmin_cg(
     retall: onp.ToFalse = 0,
     callback: _Callback_1d | None = None,
     c1: onp.ToFloat = 1e-4,
-    c2: onp.ToFloat = 0.9,
+    c2: onp.ToFloat = 0.4,
 ) -> tuple[_Float1D, _Float, int, int, _WarnFlag]: ...
 @overload  # full_output: True (keyword), retall: True (keyword)
 def fmin_cg(
@@ -374,7 +374,7 @@ def fmin_cg(
     retall: onp.ToTrue,
     callback: _Callback_1d | None = None,
     c1: onp.ToFloat = 1e-4,
-    c2: onp.ToFloat = 0.9,
+    c2: onp.ToFloat = 0.4,
 ) -> tuple[_Float1D, _Float, int, int, _WarnFlag, _AllVecs]: ...
 @overload  # full_output: False = ..., retall: False = ...
 def fmin_ncg(

scipy-stubs/sparse/_base.pyi

@@ -196,20 +196,20 @@ class _spbase(SparseABC, Generic[_ScalarT_co, _ShapeT_co]):
     #
     @overload  # shape
     def __init__(
-        self: _spbase[np.float64], /, arg1: tuple[SupportsIndex, *tuple[SupportsIndex, ...]], *, maxprint: int | None = 50
+        self: _spbase[np.float64], /, arg1: tuple[SupportsIndex, *tuple[SupportsIndex, ...]], *, maxprint: int | None = None
     ) -> None: ...
     @overload  # sparse
-    def __init__(self, /, arg1: _spbase[_ScalarT_co], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self, /, arg1: _spbase[_ScalarT_co], *, maxprint: int | None = None) -> None: ...
     @overload  # dense array-like
-    def __init__(self, /, arg1: _ToSparseArray[_ScalarT_co], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self, /, arg1: _ToSparseArray[_ScalarT_co], *, maxprint: int | None = None) -> None: ...
     @overload  # dense array-like bool
-    def __init__(self: _spbase[np.bool_], /, arg1: _ToSparseSeq[bool], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self: _spbase[np.bool_], /, arg1: _ToSparseSeq[bool], *, maxprint: int | None = None) -> None: ...
     @overload  # dense array-like int
-    def __init__(self: _spbase[np.int_], /, arg1: _ToSparseSeq[op.JustInt], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self: _spbase[np.int_], /, arg1: _ToSparseSeq[op.JustInt], *, maxprint: int | None = None) -> None: ...
     @overload  # dense array-like float
-    def __init__(self: _spbase[np.float64], /, arg1: _ToSparseSeq[op.JustFloat], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self: _spbase[np.float64], /, arg1: _ToSparseSeq[op.JustFloat], *, maxprint: int | None = None) -> None: ...
     @overload  # dense array-like cfloat
-    def __init__(self: _spbase[np.complex128], /, arg1: _ToSparseSeq[op.JustComplex], *, maxprint: int | None = 50) -> None: ...
+    def __init__(self: _spbase[np.complex128], /, arg1: _ToSparseSeq[op.JustComplex], *, maxprint: int | None = None) -> None: ...
 
     #
     def __bool__(self, /) -> bool: ...

scipy-stubs/sparse/linalg/_isolve/_gcrotmk.pyi

@@ -37,7 +37,7 @@ def gcrotmk(
     *,
     rtol: onp.ToFloat = 1e-5,
     atol: onp.ToFloat = 0.0,
-    maxiter: int | None = None,
+    maxiter: int = 1_000,
     M: _ToLinearOperator[_FloatT | _ToInt] | None = None,
     callback: _Callback[_FloatT] | None = None,
     m: int = 20,
@@ -54,7 +54,7 @@ def gcrotmk(
     *,
     rtol: onp.ToFloat = 1e-5,
     atol: onp.ToFloat = 0.0,
-    maxiter: int | None = None,
+    maxiter: int = 1_000,
     M: _ToLinearOperator[_ComplexT] | None = None,
     callback: _Callback[_ComplexT] | None = None,
     m: int = 20,

scipy-stubs/sparse/linalg/_isolve/lgmres.pyi

@@ -34,7 +34,7 @@ def lgmres(
     *,
     rtol: onp.ToFloat = 1e-5,
     atol: onp.ToFloat = 0.0,
-    maxiter: int | None = None,
+    maxiter: int = 1_000,
     M: _ToLinearOperator[_FloatT | _ToInt] | None = None,
     callback: _Callback[_FloatT] | None = None,
     inner_m: int = 30,
@@ -51,7 +51,7 @@ def lgmres(
     *,
     rtol: onp.ToFloat = 1e-5,
     atol: onp.ToFloat = 0.0,
-    maxiter: int | None = None,
+    maxiter: int = 1_000,
     M: _ToLinearOperator[_ComplexT] | None = None,
     callback: _Callback[_ComplexT] | None = None,
     inner_m: int = 30,

scipy-stubs/spatial/_ckdtree.pyi

@@ -178,7 +178,7 @@ class cKDTree(_CythonMixin, Generic[_BoxSizeT_co, _BoxSizeDataT_co]):
         x: onp.ToFloatND,
         r: onp.ToFloatND,
         p: onp.ToFloat = 2.0,
-        eps: onp.ToFloat = 0,  # noqa: missing-default
+        eps: onp.ToFloat = ...,  # noqa: missing-default
         workers: op.CanIndex | None = None,
         return_sorted: onp.ToBool | None = None,
         return_length: onp.ToFalse = False,
@@ -259,15 +259,15 @@ class cKDTree(_CythonMixin, Generic[_BoxSizeT_co, _BoxSizeDataT_co]):
     #
     @overload
     def query_pairs(
-        self, /, r: onp.ToFloat, p: onp.ToFloat = 2.0, eps: onp.ToFloat = 0, output_type: L["set"] = "set"
+        self, /, r: onp.ToFloat, p: onp.ToFloat = 2.0, eps: onp.ToFloat = 0.0, output_type: L["set"] = "set"
     ) -> set[tuple[int, int]]: ...
     @overload
     def query_pairs(
         self, /, r: onp.ToFloat, p: onp.ToFloat, eps: onp.ToFloat, output_type: L["ndarray"]
     ) -> onp.ArrayND[np.intp]: ...
     @overload
     def query_pairs(
-        self, /, r: onp.ToFloat, p: onp.ToFloat = 2.0, eps: onp.ToFloat = 0, *, output_type: L["ndarray"]
+        self, /, r: onp.ToFloat, p: onp.ToFloat = 2.0, eps: onp.ToFloat = 0.0, *, output_type: L["ndarray"]
     ) -> onp.ArrayND[np.intp]: ...
 
     #

scipy-stubs/stats/_mstats_extras.pyi

@@ -29,17 +29,17 @@ _ToAxis: TypeAlias = op.CanIndex | None
 
 @overload
 def hdquantiles(
-    data: onp.ToFloat1D, prob: _ToProb = [0.25, 0.5, 0.75], axis: _ToAxis = None, var: onp.ToFalse = False
+    data: onp.ToFloat1D, prob: _ToProb = (0.25, 0.5, 0.75), axis: _ToAxis = None, var: onp.ToFalse = False
 ) -> onp.MArray1D[np.float64]: ...
 @overload
 def hdquantiles(data: onp.ToFloat1D, prob: _ToProb, axis: _ToAxis, var: onp.ToTrue) -> onp.MArray2D[np.float64]: ...
 @overload
 def hdquantiles(
-    data: onp.ToFloat1D, prob: _ToProb = [0.25, 0.5, 0.75], axis: _ToAxis = None, *, var: onp.ToTrue
+    data: onp.ToFloat1D, prob: _ToProb = (0.25, 0.5, 0.75), axis: _ToAxis = None, *, var: onp.ToTrue
 ) -> onp.MArray2D[np.float64]: ...
 @overload
 def hdquantiles(
-    data: onp.ToFloatND, prob: _ToProb = [0.25, 0.5, 0.75], axis: _ToAxis = None, var: bool = False
+    data: onp.ToFloatND, prob: _ToProb = (0.25, 0.5, 0.75), axis: _ToAxis = None, var: bool = False
 ) -> onp.MArray[np.float64]: ...
 
 #

scipy-stubs/stats/_quantile.pyi

@@ -51,7 +51,7 @@ def quantile(
     method: _QuantileMethod = "linear",
     axis: op.CanIndex = 0,
     nan_policy: NanPolicy = "propagate",
-    keepdims: op.CanBool | None = False,
+    keepdims: op.CanBool | None = None,
 ) -> onp.ArrayND[np.float64]: ...
 @overload
 def quantile(

scipy-stubs/stats/_stats.pyi

@@ -106,7 +106,7 @@ def gaussian_kernel_estimate(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyFloat32DType,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.float32]: ...
 @overload
 def gaussian_kernel_estimate(
@@ -115,7 +115,7 @@ def gaussian_kernel_estimate(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyFloat64DType | None,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.float64]: ...
 @overload
 def gaussian_kernel_estimate(
@@ -124,7 +124,7 @@ def gaussian_kernel_estimate(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyLongDoubleDType,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.longdouble]: ...  # undocumented
 
 # keep in sync with `gaussian_kernel_estimate`
@@ -135,7 +135,7 @@ def gaussian_kernel_estimate_log(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyFloat32DType,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.float32]: ...
 @overload
 def gaussian_kernel_estimate_log(
@@ -144,7 +144,7 @@ def gaussian_kernel_estimate_log(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyFloat64DType | None,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.float64]: ...
 @overload
 def gaussian_kernel_estimate_log(
@@ -153,5 +153,5 @@ def gaussian_kernel_estimate_log(
     xi: onp.Array2D[_AsReal],
     cho_cov: onp.Array2D[_AsReal],
     dtype: onp.AnyLongDoubleDType,
-    _: _Real | float = 0.0,
+    _: _Real | float = 0,
 ) -> onp.Array2D[np.longdouble]: ...  # undocumented