🎨 poe codemod PosOnlySelf

Author: jorenham

scipy-stubs/interpolate/_bary_rational.pyi

@@ -44,14 +44,15 @@ class AAA(_BarycentricRational[_SCT_co, tuple[int]], Generic[_SCT_co]):
     weights: onp.Array1D[_SCT_co]
 
     @property
-    def support_points(self) -> onp.Array1D[_SCT_co]: ...
+    def support_points(self, /) -> onp.Array1D[_SCT_co]: ...
     @property
-    def support_values(self) -> onp.Array1D[_SCT_co]: ...
+    def support_values(self, /) -> onp.Array1D[_SCT_co]: ...
 
     #
     @overload
     def __init__(
         self,
+        /,
         x: onp.CanArrayND[_SCT_co] | Sequence[_SCT_co],
         y: onp.CanArrayND[_SCT_co | _ToFloat16] | Sequence[_SCT_co | _ToFloat16],
         *,
@@ -63,6 +64,7 @@ class AAA(_BarycentricRational[_SCT_co, tuple[int]], Generic[_SCT_co]):
     @overload
     def __init__(
         self: AAA[np.float64],
+        /,
         x: Sequence[float],
         y: onp.CanArrayND[_ToFloat64] | Sequence[float | _ToFloat64],
         *,
@@ -74,6 +76,7 @@ class AAA(_BarycentricRational[_SCT_co, tuple[int]], Generic[_SCT_co]):
     @overload
     def __init__(
         self: AAA[np.float64],
+        /,
         x: onp.CanArrayND[_ToFloat64] | Sequence[float | _ToFloat64],
         y: Sequence[float],
         *,
@@ -85,6 +88,7 @@ class AAA(_BarycentricRational[_SCT_co, tuple[int]], Generic[_SCT_co]):
     @overload
     def __init__(
         self: AAA[np.complex128],
+        /,
         x: Sequence[complex],
         y: onp.CanArrayND[_ToFloat64] | Sequence[complex | _ToComplex128],
         *,
@@ -96,6 +100,7 @@ class AAA(_BarycentricRational[_SCT_co, tuple[int]], Generic[_SCT_co]):
     @overload
     def __init__(
         self: AAA[np.complex128],
+        /,
         x: onp.CanArrayND[_ToComplex128] | Sequence[complex | _ToComplex128],
         y: Sequence[complex],
         *,

scipy-stubs/stats/_distribution_infrastructure.pyi

@@ -341,6 +341,7 @@ class ContinuousDistribution(_BaseDistribution[_FloatT_co, _ShapeT_co], Generic[
     def reset_cache(self, /) -> None: ...
     def plot(
         self,
+        /,
         x: _PlotQuantity = "x",
         y: _PlotQuantity = "pdf",
         *,

scipy-stubs/stats/_resampling.pyi

@@ -59,6 +59,7 @@ class MonteCarloMethod(ResamplingMethod):
 
     def __init__(
         self,
+        /,
         n_resamples: int = 9_999,
         batch: int | None = None,
         rvs: _RVSCallable | Sequence[_RVSCallable] | None = None,
@@ -81,6 +82,7 @@ class PermutationMethod(ResamplingMethod):
     @overload
     def __init__(
         self,
+        /,
         n_resamples: int = 9_999,
         batch: int | None = None,
         random_state: None = None,
@@ -89,10 +91,12 @@ class PermutationMethod(ResamplingMethod):
     ) -> None: ...
     @overload
     @deprecated("`random_state` is deprecated, use `rng` instead")  # this is a reasonable lie
-    def __init__(self, n_resamples: int, batch: int | None, random_state: ToRNG, *, rng: ToRNG = None) -> None: ...
+    def __init__(self, /, n_resamples: int, batch: int | None, random_state: ToRNG, *, rng: ToRNG = None) -> None: ...
     @overload
     @deprecated("`random_state` is deprecated, use `rng` instead")  # this is a reasonable lie
-    def __init__(self, n_resamples: int = 9_999, batch: int | None = None, *, random_state: ToRNG, rng: ToRNG = None) -> None: ...
+    def __init__(
+        self, /, n_resamples: int = 9_999, batch: int | None = None, *, random_state: ToRNG, rng: ToRNG = None
+    ) -> None: ...
 
 @dataclass(match_args=False)
 class BootstrapMethod(ResamplingMethod):