message: add test value of test_default_value_saved_as_tuple and test_dtype_should_be_string_or_integer
diff: @@ -265,11 +265,13 @@ class NumericColumnTest(test.TestCase):
  self.assertEqual(((3., 2.),), a.default_value)
  def test_shape_and_default_value_compatibility(self):
  - fc.numeric_column('aaa', shape=[2], default_value=[1, 2.])
  + a = fc.numeric_column('aaa', shape=[2], default_value=[1, 2.])
  + self.assertEqual((1, 2.), a.default_value)
  with self.assertRaisesRegexp(ValueError, 'The shape of default_value'):
  fc.numeric_column('aaa', shape=[2], default_value=[1, 2, 3.])
  - fc.numeric_column(
  + a = fc.numeric_column(
  'aaa', shape=[3, 2], default_value=[[2, 3], [1, 2], [2, 3.]])
  + self.assertEqual(((2, 3), (1, 2), (2, 3.)), a.default_value)
  with self.assertRaisesRegexp(ValueError, 'The shape of default_value'):
  fc.numeric_column(
  'aaa', shape=[3, 1], default_value=[[2, 3], [1, 2], [2, 3.]])
  @@ -858,8 +860,11 @@ class HashedCategoricalColumnTest(test.TestCase):
  fc.categorical_column_with_hash_bucket('aaa', 0)
  def test_dtype_should_be_string_or_integer(self):
  - fc.categorical_column_with_hash_bucket('aaa', 10, dtype=dtypes.string)
  - fc.categorical_column_with_hash_bucket('aaa', 10, dtype=dtypes.int32)
  + a = fc.categorical_column_with_hash_bucket('aaa', 10, dtype=dtypes.string)
  + b = fc.categorical_column_with_hash_bucket('aaa', 10, dtype=dtypes.int32)
  + self.assertEqual(dtypes.string, a.dtype)
  + self.assertEqual(dtypes.int32, b.dtype)
  +
  with self.assertRaisesRegexp(ValueError, 'dtype must be string or integer'):
  fc.categorical_column_with_hash_bucket('aaa', 10, dtype=dtypes.float32)
  