remove w/a related to dpctl-issue-2030

dpnp/dpnp_iface_mathematical.py

@@ -611,7 +611,7 @@ def around(x, /, decimals=0, out=None):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
@@ -791,6 +791,7 @@ def clip(a, /, min=None, max=None, *, out=None, order="K", **kwargs):
 
 conj = conjugate
 
+
 _COPYSIGN_DOCSTRING = """
 Composes a floating-point value with the magnitude of `x1_i` and the sign of
 `x2_i` for each element of input arrays `x1` and `x2`.
@@ -1717,7 +1718,7 @@ def ediff1d(ary, to_end=None, to_begin=None):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
@@ -1878,7 +1879,7 @@ def ediff1d(ary, to_end=None, to_begin=None):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
@@ -4551,7 +4552,7 @@ def trapezoid(y, x=None, dx=1.0, axis=-1):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have a real-valued data type.
+    Input array, expected to have a boolean or real-valued data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.

dpnp/tests/test_mathematical.py

@@ -32,7 +32,6 @@
     get_integer_float_dtypes,
     has_support_aspect16,
     has_support_aspect64,
-    is_gpu_device,
     numpy_version,
 )
 from .third_party.cupy import testing
@@ -2178,25 +2177,11 @@ def test_out(self, func, dt_in, dt_out):
         if dt_in != dt_out:
             if numpy.can_cast(dt_in, dt_out, casting="same_kind"):
                 # NumPy allows "same_kind" casting, dpnp does not
-                if (
-                    func != "fix"
-                    and dt_in == dpnp.bool
-                    and dt_out == dpnp.int8
-                    and is_gpu_device()
-                ):
-                    # TODO: get rid of w/a when dpctl#2030 is fixed
-                    pass
-                else:
-                    assert_raises(ValueError, getattr(dpnp, func), ia, out=iout)
+                assert_raises(ValueError, getattr(dpnp, func), ia, out=iout)
             else:
                 assert_raises(ValueError, getattr(dpnp, func), ia, out=iout)
                 assert_raises(TypeError, getattr(numpy, func), a, out=out)
         else:
-            if func != "fix" and dt_in == dpnp.bool and is_gpu_device():
-                # TODO: get rid of w/a when dpctl#2030 is fixed
-                out = out.astype(numpy.int8)
-                iout = iout.astype(dpnp.int8)
-
             expected = getattr(numpy, func)(a, out=out)
             result = getattr(dpnp, func)(ia, out=iout)
             assert result is iout
@@ -2222,11 +2207,6 @@ def test_out_usm_ndarray(self, func, dt):
         out = numpy.empty(a.shape, dtype=dt)
         ia, usm_out = dpnp.array(a), dpt.asarray(out)
 
-        if func != "fix" and dt == dpnp.bool and is_gpu_device():
-            # TODO: get rid of w/a when dpctl#2030 is fixed
-            out = out.astype(numpy.int8)
-            usm_out = dpt.asarray(usm_out, dtype=dpnp.int8)
-
         expected = getattr(numpy, func)(a, out=out)
         result = getattr(dpnp, func)(ia, out=usm_out)
         assert result.get_array() is usm_out

dpnp/tests/test_umath.py

@@ -108,8 +108,6 @@ def test_umaths(test_cases):
         and is_gpu_device()
     ):
         pytest.skip("dpctl-1652")
-    elif umath in ["ceil", "floor", "trunc"] and args[0].dtype == dpnp.bool:
-        pytest.skip("dpctl-2030")
     elif (
         umath == "tan"
         and dpnp.issubdtype(args[0].dtype, dpnp.complexfloating)