TaintEffectNoSchedule TaintEffect = "NoSchedule"
	// Like TaintEffectNoSchedule, but the scheduler tries not to schedule
	// new pods onto the node, rather than prohibiting new pods from scheduling
	// onto the node entirely. Enforced by the scheduler.
	TaintEffectPreferNoSchedule TaintEffect = "PreferNoSchedule"
	// NOT YET IMPLEMENTED. TODO: Uncomment field once it is implemented.

`localhost` or `127.0.0.1` as a `host` is risky unless you take great care to run this webhook on all hosts which run an apiserver which might need to make calls to this webhook. Such installs are likely to be non-portable, i.e., not easy to turn up in a new cluster.\n\nThe scheme must be \"https\"; the URL must begin with \"https://\".\n\nA path is optional, and if present may be any string permissible in a URL. You may use the path to pass an arbitrary string to the webhook, for example, a cluster id...

            "type": "string"
          }

  // +-------+-------+-------+
  // The number of domains is less than 5(MinDomains), so "global minimum" is treated as 0.
  // In this situation, new pod with the same labelSelector cannot be scheduled,
  // because computed skew will be 3(3 - 0) if new Pod is scheduled to any of the three zones,
  // it will violate MaxSkew.
  //

  // +-------+-------+-------+
  // The number of domains is less than 5(MinDomains), so "global minimum" is treated as 0.
  // In this situation, new pod with the same labelSelector cannot be scheduled,
  // because computed skew will be 3(3 - 0) if new Pod is scheduled to any of the three zones,
  // it will violate MaxSkew.
  // +optional
  optional int32 minDomains = 5;

        UserCQ cq = new UserCQ();
        queryLambda.callback(cq);
        final Collection<FilterFunctionBuilder> list = new ArrayList<>();
        if (functionsLambda != null) {
            functionsLambda.callback((cqLambda, scoreFunctionBuilder) -> {
                UserCQ cf = new UserCQ();
                cqLambda.callback(cf);
                list.add(new FilterFunctionBuilder(cf.getQuery(), scoreFunctionBuilder));

	"resourceClaimTemplateName": "ResourceClaimTemplateName is the name of a ResourceClaimTemplate object in the same namespace as this pod.\n\nThe template will be used to create a new ResourceClaim, which will be bound to this pod. When this pod is deleted, the ResourceClaim will also be deleted. The pod name and resource name, along with a generated component, will be used to form a unique name for the ResourceClaim, which will...

// shaped types. This is to be used for legacy lowerings that both use non
// left-padded broadcasting and static shapes. Its use should not be permitted
// in new code.
// May return nullptr on invalid static broadcast dimensions.
// ABSL_DEPRECATED()
static RankedTensorType GetStaticBroadcastType(
    RankedTensorType x, RankedTensorType y,

	// INFO: in.HostIPC opted out of conversion generation
	// INFO: in.ShareProcessNamespace opted out of conversion generation
	if in.SecurityContext != nil {
		in, out := &in.SecurityContext, &out.SecurityContext
		*out = new(core.PodSecurityContext)
		if err := Convert_v1_PodSecurityContext_To_core_PodSecurityContext(*in, *out, s); err != nil {
			return err
		}
	} else {
		out.SecurityContext = nil
	}

  // For StridedSlice input[1, tf.new_axis, ..., 8:, :10, 2:6:2, tf.new_axis]
  // New axis mask is at index 1 and 6 of sparse spec, so
  // new_axis_mask = 2^1 + 2^6 = 66
  // The ellipsis mask is applied to dim #1, #2 of input i.e, we get
  // canonicalized slice input[1, :, :, 8:, :10, 2:6:2]
  // This is then reshaped to add the new axes.

  // The start, limit indices and strides attributes of mhlo.slice would