MAINT: Rename interpolation to method in percentile stubs

Author: seberg

numpy/lib/function_base.pyi

@@ -500,7 +500,7 @@ def median(
     keepdims: bool = ...,
 ) -> _ArrayType: ...
 
-_InterpolationKind = L[
+_MethodKind = L[
     "inverted_cdf",
     "averaged_inverted_cdf",
     "closest_observation",
@@ -523,7 +523,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> floating[Any]: ...
 @overload
@@ -533,7 +533,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> complexfloating[Any, Any]: ...
 @overload
@@ -543,7 +543,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> timedelta64: ...
 @overload
@@ -553,7 +553,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> datetime64: ...
 @overload
@@ -563,7 +563,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> Any: ...
 @overload
@@ -573,7 +573,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> NDArray[floating[Any]]: ...
 @overload
@@ -583,7 +583,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> NDArray[complexfloating[Any, Any]]: ...
 @overload
@@ -593,7 +593,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> NDArray[timedelta64]: ...
 @overload
@@ -603,7 +603,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> NDArray[datetime64]: ...
 @overload
@@ -613,7 +613,7 @@ def percentile(
     axis: None = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: L[False] = ...,
 ) -> NDArray[object_]: ...
 @overload
@@ -623,7 +623,7 @@ def percentile(
     axis: None | _ShapeLike = ...,
     out: None = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: bool = ...,
 ) -> Any: ...
 @overload
@@ -633,7 +633,7 @@ def percentile(
     axis: None | _ShapeLike = ...,
     out: _ArrayType = ...,
     overwrite_input: bool = ...,
-    interpolation: _InterpolationKind = ...,
+    method: _MethodKind = ...,
     keepdims: bool = ...,
 ) -> _ArrayType: ...
 

numpy/typing/tests/data/reveal/lib_function_base.pyi

@@ -144,7 +144,7 @@ reveal_type(np.percentile(AR_O, 50))  # E: Any
 reveal_type(np.percentile(AR_f8, [50]))  # E: ndarray[Any, dtype[floating[Any]]]
 reveal_type(np.percentile(AR_c16, [50]))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
 reveal_type(np.percentile(AR_m, [50]))  # E: ndarray[Any, dtype[timedelta64]]
-reveal_type(np.percentile(AR_M, [50], interpolation="nearest"))  # E: ndarray[Any, dtype[datetime64]]
+reveal_type(np.percentile(AR_M, [50], method="nearest"))  # E: ndarray[Any, dtype[datetime64]]
 reveal_type(np.percentile(AR_O, [50]))  # E: ndarray[Any, dtype[object_]]
 reveal_type(np.percentile(AR_f8, [50], keepdims=True))  # E: Any
 reveal_type(np.percentile(AR_f8, [50], axis=[1]))  # E: Any
@@ -158,7 +158,7 @@ reveal_type(np.quantile(AR_O, 0.5))  # E: Any
 reveal_type(np.quantile(AR_f8, [0.5]))  # E: ndarray[Any, dtype[floating[Any]]]
 reveal_type(np.quantile(AR_c16, [0.5]))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
 reveal_type(np.quantile(AR_m, [0.5]))  # E: ndarray[Any, dtype[timedelta64]]
-reveal_type(np.quantile(AR_M, [0.5], interpolation="nearest"))  # E: ndarray[Any, dtype[datetime64]]
+reveal_type(np.quantile(AR_M, [0.5], method="nearest"))  # E: ndarray[Any, dtype[datetime64]]
 reveal_type(np.quantile(AR_O, [0.5]))  # E: ndarray[Any, dtype[object_]]
 reveal_type(np.quantile(AR_f8, [0.5], keepdims=True))  # E: Any
 reveal_type(np.quantile(AR_f8, [0.5], axis=[1]))  # E: Any