`tf.keras.mixed_precision.experimental.LossScaleOptimizer`, the weights
        of the `DynanmicLossScale` are copied into the `LossScaleOptimizer`
        instead of being reused. This means modifying the weights of the
        `DynamicLossScale` will no longer affect the weights of the
        LossScaleOptimizer, and vice versa.

                        if a sidecar is present in the workload.
                      type: string
                    weight:
                      description: The load balancing weight associated with the endpoint.
                      maximum: 4294967295
                      minimum: 0
                      type: integer
                  type: object

                        if a sidecar is present in the workload.
                      type: string
                    weight:
                      description: The load balancing weight associated with the endpoint.
                      maximum: 4294967295
                      minimum: 0
                      type: integer
                  type: object

                        if a sidecar is present in the workload.
                      type: string
                    weight:
                      description: The load balancing weight associated with the endpoint.
                      type: integer
                  type: object
                type: array
              exportTo:

!important; }\n.text-capitalize { text-transform: capitalize !important; }\n\n// Weight and italics\n\n.font-weight-light   { font-weight: $font-weight-light !important; }\n.font-weight-lighter { font-weight: $font-weight-lighter !important; }\n.font-weight-normal  { font-weight: $font-weight-normal !important; }\n.font-weight-bold    { font-weight: $font-weight-bold !important; }\n.font-weight-bolder  { font-weight: $font-weight-bolder !important; }\n.font-italic         { font-style: italic !important;...

  }];

  let description = [{
Outputs a vector with length `size` and the same dtype as `weights`. If
`weights` are empty, then index `i` stores the number of times the value `i` is
counted in `arr`. If `weights` are non-empty, then index `i` stores the sum of
the value in `weights` at each index where the corresponding value in `arr` is
`i`.

Values in `arr` outside of the range [0, size) are ignored.

owercase{text-transform:lowercase!important}.text-uppercase{text-transform:uppercase!important}.text-capitalize{text-transform:capitalize!important}.font-weight-light{font-weight:300!important}.font-weight-lighter{font-weight:lighter!important}.font-weight-normal{font-weight:400!important}.font-weight-bold{font-weight:700!important}.font-weight-bolder{font-weight:bolder!important}.font-italic{font-style:italic!important}.text-white{color:#fff!important}.text-primary{color:#007bff!important}a.tex...

							NodeSelectorTerms: []core.NodeSelectorTerm{},
						},
					},
				}),
			},
		},
		"invalid weight in preferredDuringSchedulingIgnoredDuringExecution in pod affinity annotations, weight should be in range 1-100": {
			expectedError: "must be in the range 1-100",
			spec: core.Pod{
				ObjectMeta: metav1.ObjectMeta{
					Name:      "123",

                            type: integer
                          weight:
                            default: 1
                            description: |-
                              Weight specifies the proportion of requests forwarded to the referenced
                              backend. This is computed as weight/(sum of all weights in this

fire by the rapid rotation of the Wheels; and some Liquors mix'd with
one another whose Particles come together with an Impetus, as Oil of
Vitriol distilled from its weight of Nitre, and then mix'd with twice
its weight of Oil of Anniseeds. So also a Globe of Glass about 8 or 10
Inches in diameter, being put into a Frame where it may be swiftly
turn'd round its Axis, will in turning shine where it rubs against the