CLN: de-duplicate numeric type check in _libs/testing

pandas/_libs/testing.pyx

@@ -7,36 +7,13 @@ from numpy cimport import_array
 
 import_array()
 
-from pandas._libs.util cimport is_array
 from pandas._libs.lib import is_complex
+from pandas._libs.util cimport is_array, is_real_number_object
 
 from pandas.core.dtypes.common import is_dtype_equal
 from pandas.core.dtypes.missing import array_equivalent, isna
 
 
-cdef NUMERIC_TYPES = (
-    bool,
-    int,
-    float,
-    np.bool_,
-    np.int8,
-    np.int16,
-    np.int32,
-    np.int64,
-    np.uint8,
-    np.uint16,
-    np.uint32,
-    np.uint64,
-    np.float16,
-    np.float32,
-    np.float64,
-)
-
-
-cdef bint is_comparable_as_number(obj):
-    return isinstance(obj, NUMERIC_TYPES)
-
-
 cdef bint isiterable(obj):
     return hasattr(obj, '__iter__')
 
@@ -200,7 +177,7 @@ cpdef assert_almost_equal(a, b,
         # object comparison
         return True
 
-    if is_comparable_as_number(a) and is_comparable_as_number(b):
+    if is_real_number_object(a) and is_real_number_object(b):
         if array_equivalent(a, b, strict_nan=True):
             # inf comparison
             return True

pandas/_libs/tslibs/util.pxd

@@ -121,6 +121,10 @@ cdef inline bint is_bool_object(object obj) nogil:
             PyObject_TypeCheck(obj, &PyBoolArrType_Type))
 
 
+cdef inline bint is_real_number_object(object obj) nogil:
+    return is_bool_object(obj) or is_integer_object(obj) or is_float_object(obj)
+
+
 cdef inline bint is_timedelta64_object(object obj) nogil:
     """
     Cython equivalent of `isinstance(val, np.timedelta64)`