0466          ; mapped                 ; 0467          # 1.1  CYRILLIC CAPITAL LETTER LITTLE YUS
0467          ; valid                                  # 1.1  CYRILLIC SMALL LETTER LITTLE YUS
0468          ; mapped                 ; 0469          # 1.1  CYRILLIC CAPITAL LETTER IOTIFIED LITTLE YUS
0469          ; valid                                  # 1.1  CYRILLIC SMALL LETTER IOTIFIED LITTLE YUS

			} else if !strings.HasSuffix(errs[0].Field, "."+tc.errfield) {
				t.Errorf("[%d: %q] expected error on field %q, got %q", i, tc.name, tc.errfield, errs[0].Field)
			}
		}
	}
}

// This test is a little too top-to-bottom.  Ideally we would test each volume
// type on its own, but we want to also make sure that the logic works through
// the one-of wrapper, so we just do it all in one place.

takes arguments in reversed order and with different keywords. In particular we
now match NumPy order as `tf.concat(values, axis, name)`. *
`tf.image.decode_jpeg` by default uses the faster DCT method, sacrificing a
little fidelity for improved speed. One can revert to the old behavior by
specifying the attribute `dct_method='INTEGER_ACCURATE'`. * `tf.complex_abs` has
been removed from the Python interface. `tf.abs` supports complex tensors and