// shard value is the value per drive shard it
	// will vary based on the parity that is configured
	// for the STANDARD storage_class.
	// inlining means data and metadata are written
	// together in a single file i.e xl.meta
	InlineBlockEnv = "MINIO_STORAGE_CLASS_INLINE_BLOCK"

	// Supported storage class scheme is EC
	schemePrefix = "EC"

	// Min parity drives
	minParityDrives = 0

  for (Node* n : graph->nodes()) {
    TF_ASSIGN_OR_RETURN(const bool is_xla_launch_node, is_xla_launch_node(*n));
    if (is_xla_launch_node) launch_nodes.push_back(n);
  }

  // Replaces each launch function call together with its neighboring
  // XlaClusterOutput nodes with a XlaLaunch node.
  for (Node* launch : launch_nodes) {
    TF_ASSIGN_OR_RETURN(const XlaFunctionInfo xla_function_info,

    return %4 : tensor<2x1xf32>
  }
```

#### Compute Costs Pass
In the compute cost pass, we will essentially compute the cost of each op within
the `FuncOp` based on the target-device cost model and sum them together.


#### Pick Subgraphs Pass
In the pick subgraphs pass, we will pick those subgraphs which can minimize the

After covering how you can declare <<declaring_repositories.adoc#declaring-repositories,repositories>> and <<declaring_dependencies.adoc#declaring-dependencies,dependencies>>, it makes sense to explain how these declarations come together during dependency resolution.

Dependency resolution is a process that consists of two phases, which are repeated until the dependency graph is complete:

	warningMetric.Add(1.0)
	klog.V(4).ErrorS(err, "Please report this error in https://github.com/kubernetes/enhancements/issues/1710, together with full Pod yaml file")
	return nil
}

// Return the volume plugin name, together with the CSI driver name if it's a CSI volume.
func getVolumePluginNameWithDriver(plugin volume.VolumePlugin, spec *volume.Spec) string {
	pluginName := plugin.GetPluginName()

// Discovering clusters of operations based on the policy.
// -------------------------------------------------------------------------- //

// Cluster groups together operations in the single basic block based on the
// given clustering policy set. Clusters can be outlined into nested modules
// later device specific compilation (e.g. for TFRT JIT compiler).
struct Cluster {

     * Serialization stores the forward bimap, the inverse of this inverse.
     * Deserialization calls inverse() on the forward bimap and returns that
     * inverse.
     *
     * If a bimap and its inverse are serialized together, the deserialized
     * instances have inverse() methods that return the other.
     */

    @Override
    @ParametricNullness
    K checkKey(@ParametricNullness K key) {
      return inverse.checkValue(key);

        options.addOption(Option.builder(Character.toString(NON_RECURSIVE))
                .longOpt("non-recursive")
                .desc(
                        "Do not recurse into sub-projects. When used together with -pl, do not recurse into sub-projects of selected aggregators")
                .build());
        options.addOption(Option.builder(Character.toString(UPDATE_SNAPSHOTS))
                .longOpt("update-snapshots")

     *
     * <p>
     * While very similar in functionality to the regular {@link #map(Transformer) map} operation, this method
     * offers a convenient way of connecting together task inputs and outputs. (For a deeper understanding of
     * the topic see the <a href="https://docs.gradle.org/current/userguide/lazy_configuration.html">Lazy Configuration</a>
     * section of the Gradle manual.)</p>
     *

		Policies []struct {
			Operator string
			Key      string
			Value    string
		}
		ContentLengthRange contentLengthRange
	}
}

// implemented to ensure that duplicate keys in JSON
// are merged together into a single JSON key, also
// to remove any extraneous JSON bodies.
//
// Go stdlib doesn't support parsing JSON with duplicate
// keys, so we need to use this technique to merge the
// keys.