ENH: Use `intp` as return type for all appropiate functions

Since `intp` is now annotated it can be used in place of `signedinteger[Any]`

2 files changed, 18 insertions, 18 deletions

diff --git a/numpy/typing/tests/data/reveal/fromnumeric.py b/numpy/typing/tests/data/reveal/fromnumeric.py
index 2972fa1af..2d823b2e2 100644
--- a/numpy/typing/tests/data/reveal/fromnumeric.py
+++ b/numpy/typing/tests/data/reveal/fromnumeric.py
@@ -66,8 +66,8 @@ reveal_type(np.partition(c, 0, axis=None))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.partition(A, 0))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.partition(B, 0))  # E: numpy.ndarray[Any, Any]
 
-reveal_type(np.argpartition(a, 0))  # E: numpy.integer[Any]
-reveal_type(np.argpartition(b, 0))  # E: numpy.integer[Any]
+reveal_type(np.argpartition(a, 0))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.argpartition(b, 0))  # E: numpy.signedinteger[numpy.typing._
 reveal_type(np.argpartition(c, 0))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.argpartition(A, 0))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.argpartition(B, 0))  # E: numpy.ndarray[Any, Any]
@@ -78,18 +78,18 @@ reveal_type(np.sort(B, 0))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.argsort(A, 0))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.argsort(B, 0))  # E: numpy.ndarray[Any, Any]
 
-reveal_type(np.argmax(A))  # E: numpy.integer[Any]
-reveal_type(np.argmax(B))  # E: numpy.integer[Any]
-reveal_type(np.argmax(A, axis=0))  # E: Union[numpy.integer[Any], numpy.ndarray[Any, Any]]
-reveal_type(np.argmax(B, axis=0))  # E: Union[numpy.integer[Any], numpy.ndarray[Any, Any]]
+reveal_type(np.argmax(A))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.argmax(B))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.argmax(A, axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
+reveal_type(np.argmax(B, axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
 
-reveal_type(np.argmin(A))  # E: numpy.integer[Any]
-reveal_type(np.argmin(B))  # E: numpy.integer[Any]
-reveal_type(np.argmin(A, axis=0))  # E: Union[numpy.integer[Any], numpy.ndarray[Any, Any]]
-reveal_type(np.argmin(B, axis=0))  # E: Union[numpy.integer[Any], numpy.ndarray[Any, Any]]
+reveal_type(np.argmin(A))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.argmin(B))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.argmin(A, axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
+reveal_type(np.argmin(B, axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
 
-reveal_type(np.searchsorted(A[0], 0))  # E: numpy.integer[Any]
-reveal_type(np.searchsorted(B[0], 0))  # E: numpy.integer[Any]
+reveal_type(np.searchsorted(A[0], 0))  # E: numpy.signedinteger[numpy.typing._
+reveal_type(np.searchsorted(B[0], 0))  # E: numpy.signedinteger[numpy.typing._
 reveal_type(np.searchsorted(A[0], [0]))  # E: numpy.ndarray[Any, Any]
 reveal_type(np.searchsorted(B[0], [0]))  # E: numpy.ndarray[Any, Any]
 
diff --git a/numpy/typing/tests/data/reveal/ndarray_misc.py b/numpy/typing/tests/data/reveal/ndarray_misc.py
index 3e640b3ba..df6cd4586 100644
--- a/numpy/typing/tests/data/reveal/ndarray_misc.py
+++ b/numpy/typing/tests/data/reveal/ndarray_misc.py
@@ -26,14 +26,14 @@ reveal_type(A.any(axis=0))  # E: Union[numpy.bool_, numpy.ndarray[Any, Any]]
 reveal_type(A.any(keepdims=True))  # E: Union[numpy.bool_, numpy.ndarray[Any, Any]]
 reveal_type(A.any(out=B))  # E: SubClass
 
-reveal_type(f8.argmax())  # E: numpy.signedinteger[Any]
-reveal_type(A.argmax())  # E: numpy.signedinteger[Any]
-reveal_type(A.argmax(axis=0))  # E: Union[numpy.signedinteger[Any], numpy.ndarray[Any, Any]]
+reveal_type(f8.argmax())  # E: numpy.signedinteger[numpy.typing._
+reveal_type(A.argmax())  # E: numpy.signedinteger[numpy.typing._
+reveal_type(A.argmax(axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
 reveal_type(A.argmax(out=B))  # E: SubClass
 
-reveal_type(f8.argmin())  # E: numpy.signedinteger[Any]
-reveal_type(A.argmin())  # E: numpy.signedinteger[Any]
-reveal_type(A.argmin(axis=0))  # E: Union[numpy.signedinteger[Any], numpy.ndarray[Any, Any]]
+reveal_type(f8.argmin())  # E: numpy.signedinteger[numpy.typing._
+reveal_type(A.argmin())  # E: numpy.signedinteger[numpy.typing._
+reveal_type(A.argmin(axis=0))  # E: Union[numpy.ndarray[Any, Any], numpy.signedinteger[numpy.typing._
 reveal_type(A.argmin(out=B))  # E: SubClass
 
 reveal_type(f8.argsort())  # E: numpy.ndarray[Any, Any]