// - such an object exists, but the capacity is zero
//
// The producer of these objects can decide which approach is more suitable.
//
// They are consumed by the kube-scheduler when a CSI driver opts into
// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes

  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,
                             /*opers=*/nullptr, 1, inputs, 1, outputs,
                             /*output_names=*/nullptr,
                             /*opts=*/nullptr, description, s.get());
  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(*func, nullptr);
}

class CApiExperimentalFunctionTest : public ::testing::Test {
 protected:

        "//tensorflow/c/experimental/gradients:math_grad",
        "//tensorflow/c/experimental/gradients:not_differentiable",
        "//tensorflow/c/experimental/gradients/tape:tape_context",
        "//tensorflow/c/experimental/ops",
        "//tensorflow/compiler/mlir/tensorflow/c:mlir_c_api_registration",
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",

// could contain the op type and other attributes.
typedef struct TF_AbstractOp TF_AbstractOp;

// Stores a function representation that can be used for execution or for
// setting functional attributes of other composite ops e.g. control flow.
typedef struct TF_AbstractFunction TF_AbstractFunction;

// This allows the client to swap the implementation of the tracing engine.
// Any future call to TF_CreateFunction will use the implementation defined

func initStorageDisksWithErrors(endpoints Endpoints, opts storageOpts) ([]StorageAPI, []error) {
	// Bootstrap disks.
	storageDisks := make([]StorageAPI, len(endpoints))
	g := errgroup.WithNErrs(len(endpoints))
	for index := range endpoints {
		index := index
		g.Go(func() (err error) {
			storageDisks[index], err = newStorageAPI(endpoints[index], opts)
			return err
		}, index)
	}
	return storageDisks, g.Wait()

## Recap

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

You could use these tools and ideas if you are setting up **your own deployment system** while taking care of the other deployment concepts yourself.

     * started nor stopped.
     */
    FAILED,
  }

  /**
   * A listener for the various state changes that a {@link Service} goes through in its lifecycle.
   *
   * <p>All methods are no-ops by default, implementors should override the ones they care about.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 13.0)
   */
  abstract class Listener {
    /**

}

// Expire expires object versions which have already matched supplied filter conditions
func (r *BatchJobExpire) Expire(ctx context.Context, api ObjectLayer, vc *versioning.Versioning, objsToDel []ObjectToDelete) []error {
	opts := ObjectOptions{
		PrefixEnabledFn:  vc.PrefixEnabled,
		VersionSuspended: vc.Suspended(),
	}

	allErrs := make([]error, 0, len(objsToDel))

	for {
		count := len(objsToDel)
		if count == 0 {

      + custom.withDrawStyle('bars')
      + custom.withStacking({ mode: 'normal' })
      + timeSeries.queryOptions.withInterval('15s')
      + timeSeries.standardOptions.withUnit('ops')
      + custom.withFillOpacity(100)
      + custom.withShowPoints('never')
      + custom.withGradientMode('none'),

    xdsPushes(title, targets, desc=''):
      self.bars(title, targets, desc='')

                  "gradientMode": "none",
                  "showPoints": "never",
                  "stacking": {
                     "mode": "normal"
                  }
               },
               "unit": "ops"
            },
            "overrides": [
               {
                  "matcher": {
                     "id": "byName",
                     "options": "cds"
                  },