Correct dependency on numpy version in test_1d_equal_nan_axis0 (#2538)

The `test_1d_equal_nan_axis0` test depends on a fix for numpy#29372. It
was not included as part of numpy 2.3.2 release.
The PR proposes to updated the expected dependency on numpy version with
the fix.

Author: antonwolfy

dpnp/tests/test_manipulation.py

@@ -1850,16 +1850,16 @@ def test_equal_nan(self, eq_nan_kwd):
         expected = numpy.unique(a, **eq_nan_kwd)
         assert_array_equal(result, expected)
 
-    # TODO: uncomment once numpy 2.3.2 release is published
-    # @testing.with_requires("numpy>=2.3.2")
+    # TODO: uncomment once numpy 2.4.0 release is published
+    # @testing.with_requires("numpy>=2.4.0")
     def test_1d_equal_nan_axis0(self):
         a = numpy.array([numpy.nan, 0, 0, numpy.nan])
         ia = dpnp.array(a)
 
         result = dpnp.unique(ia, axis=0, equal_nan=True)
         expected = numpy.unique(a, axis=0, equal_nan=True)
         # TODO: remove when numpy#29372 is released
-        if numpy_version() < "2.3.2":
+        if numpy_version() < "2.4.0":
             expected = numpy.array([0.0, numpy.nan])
         assert_array_equal(result, expected)