border-top: 0;\n    }\n  }\n}\n\n.card-footer {\n  padding: $card-spacer-y $card-spacer-x;\n  background-color: $card-cap-bg;\n  border-top: $card-border-width solid $card-border-color;\n\n  &:last-child {\n    @include border-radius(0 0 $card-inner-border-radius $card-inner-border-radius);\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: -$card-spacer-x / 2;\n  margin-bottom: -$card-spacer-y;\n  margin-left: -$card-spacer-x / 2;\n  border-bottom: 0;\n}\n\n.card-header-pills {\n...

border-top: 0;\n    }\n  }\n}\n\n.card-footer {\n  padding: $card-spacer-y $card-spacer-x;\n  background-color: $card-cap-bg;\n  border-top: $card-border-width solid $card-border-color;\n\n  &:last-child {\n    @include border-radius(0 0 $card-inner-border-radius $card-inner-border-radius);\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: -$card-spacer-x / 2;\n  margin-bottom: -$card-spacer-y;\n  margin-left: -$card-spacer-x / 2;\n  border-bottom: 0;\n}\n\n.card-header-pills {\n...

violet-making Rays fall upon the Space P[Greek: p], the least
refrangible or deepest red-making Rays upon the Space T[Greek: t], the
middle sort between the indigo-making and blue-making Rays upon the
Space Q[Greek: ch], the middle sort of the green-making Rays upon the
Space R, the middle sort between the yellow-making and orange-making
Rays upon the Space S[Greek: s], and other intermediate sorts upon

1FFF          ; disallowed                             # NA   <reserved-1FFF>
2000..200A    ; disallowed_STD3_mapped ; 0020          # 1.1  EN QUAD..HAIR SPACE
200B          ; ignored                                # 1.1  ZERO WIDTH SPACE
200C..200D    ; deviation              ;               # 1.1  ZERO WIDTH NON-JOINER..ZERO WIDTH JOINER

		{"Stat_t.Pad_cgo_1", Field, 0},
		{"Stat_t.Pad_cgo_2", Field, 0},
		{"Stat_t.Padding0", Field, 12},
		{"Stat_t.Padding1", Field, 12},
		{"Stat_t.Qspare", Field, 0},
		{"Stat_t.Rdev", Field, 0},
		{"Stat_t.Size", Field, 0},
		{"Stat_t.Spare", Field, 2},
		{"Stat_t.Uid", Field, 0},
		{"Stat_t.X__pad0", Field, 0},
		{"Stat_t.X__pad1", Field, 0},
		{"Stat_t.X__pad2", Field, 0},

            "type": "string"
          },
          "namespace": {

            "type": "string"
          },
          "namespace": {

`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting
deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The
following Python functions have had their arguments changed to use `axis` when

example:

>>> x = tf.constant([1, 2, 3])   # Shape (3,)
>>> y = tf.broadcast_to(x, [2, 3])


When doing broadcasted operations such as multiplying a tensor
by a scalar, broadcasting (usually) confers some time or space
benefit, as the broadcasted tensor is never materialized.

However, `broadcast_to` does not carry with it any such benefits.
The newly-created tensor takes the full memory of the broadcasted

### General ephemeral volumes