Fix dpnp.__all__ missing ndarray and __array_namespace_info__

CHANGELOG.md

@@ -118,6 +118,7 @@ This release is compatible with NumPy 2.5.
 * Fixed incorrect results of `dpnp.tensor.vecdot` in some cases with strided outputs and of `dpnp.tensor` reductions, `dpnp.tensor.vecdot` and `dpnp.tensor.matmul` on large inputs with some data types [#3082](https://github.com/IntelPython/dpnp/pull/3082)
 * Fixed `dpnp.median` and `dpnp.nanmedian` raising a `ValueError` for a tuple `axis` when a kept dimension has size 0 [#3081](https://github.com/IntelPython/dpnp/pull/3081)
 * Fixed a `RuntimeError` raised by `dpnp.tensor` kernels launched over more than `INT_MAX` work-items when built with DPC++ compiler 2026.2 or newer, by also passing `-fno-sycl-id-queries-fit-in-int` to the linker [#3089](https://github.com/IntelPython/dpnp/pull/3089)
+* Fixed `dpnp.__all__` missing `ndarray` and `__array_namespace_info__` and listing `mean`, `median` and `min` twice [#3100](https://github.com/IntelPython/dpnp/pull/3100)
 
 ### Security
 

dpnp/__init__.py

@@ -591,7 +591,7 @@
 __all__ = ["__array_namespace_info__", "ndarray"]
 
 # Data types
-__all__ = [
+__all__ += [
     "bool",
     "bool_",
     "byte",
@@ -920,9 +920,6 @@
     "logaddexp2",
     "logsumexp",
     "maximum",
-    "mean",
-    "median",
-    "min",
     "minimum",
     "mod",
     "modf",

dpnp/tests/test_public_api.py

@@ -0,0 +1,16 @@
+import pytest
+
+import dpnp
+
+
+class TestAll:
+    def test_no_duplicates(self):
+        assert len(dpnp.__all__) == len(set(dpnp.__all__))
+
+    def test_names_resolve(self):
+        missing = [name for name in dpnp.__all__ if not hasattr(dpnp, name)]
+        assert not missing
+
+    @pytest.mark.parametrize("name", ["__array_namespace_info__", "ndarray"])
+    def test_contains(self, name):
+        assert name in dpnp.__all__