reuse dh.all_dtypes

Author: ev-br

Diff for: array_api_tests/test_data_type_functions.py

@@ -19,10 +19,6 @@ def non_complex_dtypes():
     return xps.boolean_dtypes() | hh.real_dtypes
 
 
-def numeric_dtypes():
-    return xps.boolean_dtypes() | hh.real_dtypes | hh.complex_dtypes
-
-
 def float32(n: Union[int, float]) -> float:
     return struct.unpack("!f", struct.pack("!f", float(n)))[0]
 
@@ -115,13 +111,9 @@ def test_broadcast_to(x, data):
     # TODO: test values
 
 
-@given(_from=numeric_dtypes(), to=numeric_dtypes(), data=st.data())
-def test_can_cast(_from, to, data):
-    from_ = data.draw(
-        st.just(_from) | hh.arrays(dtype=_from, shape=hh.shapes()), label="from_"
-    )
-
-    out = xp.can_cast(from_, to)
+@given(_from=hh.all_dtypes, to=hh.all_dtypes)
+def test_can_cast(_from, to):
+    out = xp.can_cast(_from, to)
 
     f_func = f"[can_cast({dh.dtype_to_name[_from]}, {dh.dtype_to_name[to]})]"
     assert isinstance(out, bool), f"{type(out)=}, but should be bool {f_func}"