TYP: Remove trapz, in1d and row_stack leftovers

BvB93 · BvB93 · commit 476d3d87b916 · 2023-12-21T17:35:50.000+01:00
xref numpy#24445
diff --git a/numpy/__init__.pyi b/numpy/__init__.pyi
@@ -410,7 +410,6 @@ from numpy.lib._arraypad_impl import (
 
 from numpy.lib._arraysetops_impl import (
     ediff1d as ediff1d,
-    in1d as in1d,
     intersect1d as intersect1d,
     isin as isin,
     setdiff1d as setdiff1d,
@@ -453,7 +452,6 @@ from numpy.lib._function_base_impl import (
     bartlett as bartlett,
     blackman as blackman,
     kaiser as kaiser,
-    trapz as trapz,
     i0 as i0,
     meshgrid as meshgrid,
     delete as delete,
@@ -531,7 +529,6 @@ from numpy.lib._polynomial_impl import (
 
 from numpy.lib._shape_base_impl import (
     column_stack as column_stack,
-    row_stack as row_stack,
     dstack as dstack,
     array_split as array_split,
     split as split,
diff --git a/numpy/lib/_arraysetops_impl.pyi b/numpy/lib/_arraysetops_impl.pyi
@@ -365,13 +365,6 @@ def setxor1d(
     assume_unique: bool = ...,
 ) -> NDArray[Any]: ...
 
-def in1d(
-    ar1: ArrayLike,
-    ar2: ArrayLike,
-    assume_unique: bool = ...,
-    invert: bool = ...,
-) -> NDArray[np.bool]: ...
-
 def isin(
     element: ArrayLike,
     test_elements: ArrayLike,
diff --git a/numpy/lib/_function_base_impl.pyi b/numpy/lib/_function_base_impl.pyi
@@ -621,14 +621,6 @@ def percentile(
 # (that we can reuse)
 quantile = percentile
 
-# TODO: Returns a scalar for <= 1D array-likes; returns an ndarray otherwise
-def trapz(
-    y: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co,
-    x: None | _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co = ...,
-    dx: float = ...,
-    axis: SupportsIndex = ...,
-) -> Any: ...
-
 def meshgrid(
     *xi: ArrayLike,
     copy: bool = ...,
diff --git a/numpy/lib/_shape_base_impl.pyi b/numpy/lib/_shape_base_impl.pyi
@@ -53,8 +53,6 @@ class _SupportsArrayWrap(Protocol):
 
 __all__: list[str]
 
-row_stack = vstack
-
 def take_along_axis(
     arr: _SCT | NDArray[_SCT],
     indices: NDArray[integer[Any]],
