Dont assert functions that assert

assert either raises or doesn't. If it doesn't tm.assert_* returns None,
and there's no need to assert XXX is None.

Author: samuelsinayoko

pandas/tests/indexes/interval/test_interval.py

@@ -541,12 +541,12 @@ def test_get_loc_datetimelike_overlapping(self, arrays):
         value = index[0].mid + Timedelta('12 hours')
         result = np.sort(index.get_loc(value))
         expected = np.array([0, 1], dtype='intp')
-        assert tm.assert_numpy_array_equal(result, expected)
+        tm.assert_numpy_array_equal(result, expected)
 
         interval = Interval(index[0].left, index[1].right)
         result = np.sort(index.get_loc(interval))
         expected = np.array([0, 1, 2], dtype='intp')
-        assert tm.assert_numpy_array_equal(result, expected)
+        tm.assert_numpy_array_equal(result, expected)
 
     # To be removed, replaced by test_interval_new.py (see #16316, #16386)
     def test_get_indexer(self):

pandas/tests/io/parser/test_textreader.py

@@ -349,5 +349,5 @@ def test_empty_csv_input(self):
 
 def assert_array_dicts_equal(left, right):
     for k, v in compat.iteritems(left):
-        assert tm.assert_numpy_array_equal(np.asarray(v),
+        tm.assert_numpy_array_equal(np.asarray(v),
                                            np.asarray(right[k]))

pandas/tests/tools/test_numeric.py

@@ -242,7 +242,7 @@ def test_really_large_scalar(large_val, signed, transform, errors):
     else:
         expected = float(val) if (errors == "coerce" and
                                   val_is_string) else val
-        assert tm.assert_almost_equal(to_numeric(val, **kwargs), expected)
+        tm.assert_almost_equal(to_numeric(val, **kwargs), expected)
 
 
 def test_really_large_in_arr(large_val, signed, transform,