Use better keyword argument name

Author: asmeurer

array_api_tests/dtype_helpers.py

@@ -157,15 +157,15 @@ def is_int_dtype(dtype):
     return dtype in all_int_dtypes
 
 
-def is_float_dtype(dtype, real=False):
+def is_float_dtype(dtype, *, include_complex=True):
     # None equals NumPy's xp.float64 object, so we specifically check it here.
     # xp.float64 is in fact an alias of np.dtype('float64'), and its equality
     # with None is meant to be deprecated at some point.
     # See https://github.com/numpy/numpy/issues/18434
     if dtype is None:
         return False
     valid_dtypes = real_float_dtypes
-    if api_version > "2021.12" and not real:
+    if api_version > "2021.12" and include_complex:
         valid_dtypes += complex_dtypes
     return dtype in valid_dtypes
 

array_api_tests/test_statistical_functions.py

@@ -145,7 +145,7 @@ def test_prod(x, data):
                     _dtype = x.dtype
                 else:
                     _dtype = default_dtype
-        elif dh.is_float_dtype(x.dtype, real=True):
+        elif dh.is_float_dtype(x.dtype, include_complex=False):
             if dh.dtype_nbits[x.dtype] > dh.dtype_nbits[dh.default_float]:
                 _dtype = x.dtype
             else:
@@ -261,7 +261,7 @@ def test_sum(x, data):
                     _dtype = x.dtype
                 else:
                     _dtype = default_dtype
-        elif dh.is_float_dtype(x.dtype, real=True):
+        elif dh.is_float_dtype(x.dtype, include_complex=False):
             if dh.dtype_nbits[x.dtype] > dh.dtype_nbits[dh.default_float]:
                 _dtype = x.dtype
             else: