n++;
                int size = chain.size();
                int cost = chain.getCreditCost();
                CommonServerMessageBlockRequest next = chain.getNext();
                if ( log.isTraceEnabled() ) {
                    log.trace(
                        String.format("%s costs %d avail %d (%s)", chain.getClass().getName(), cost, this.credits.availablePermits(), this.name));
                }

				// errors upwards.
				return nil, dmTime, errFileNotFound
			}
			return nil, dmTime, errUnsupportedDisk
		}
		return nil, dmTime, err
	}

	if discard {
		// This discard is mostly true for DELETEEs
		// so we need to make sure we do not keep
		// page-cache references after.
		defer disk.Fdatasync(f)
	}

	defer f.Close()

	// Get size for precise allocation.

   * E} is an {@link Enum} type, use {@link EnumSet#noneOf} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,

  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',
      'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
  config_info_line('monolithic', 'Config for mostly static monolithic build.')
  config_info_line('numa', 'Build with NUMA support.')
  config_info_line(
      'dynamic_kernels',
      '(Experimental) Build kernels into separate shared objects.')

    return setValueStrength(Strength.WEAK);
  }

  /**
   * Specifies that each value (not key) stored in the cache should be wrapped in a {@link
   * SoftReference} (by default, strong references are used). Softly-referenced objects will be
   * garbage-collected in a <i>globally</i> least-recently-used manner, in response to memory
   * demand.
   *

  // +optional
  // +patchStrategy=merge
  repeated string finalizers = 14;

  // ManagedFields maps workflow-id and version to the set of fields
  // that are managed by that workflow. This is mostly for internal
  // housekeeping, and users typically shouldn't need to set or
  // understand this field. A workflow can be the user's name, a
  // controller's name, or the name of a specific apply path like

build:ios_sim_arm64 --cpu=ios_sim_arm64
build:ios_x86_64 --config=ios
build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.

 * creation. However, the methods of this class have a large number of overloads that prevent such
 * allocations in many common cases.
 *
 * <p>The message string is not formatted unless the exception will be thrown, so the cost of the
 * string formatting itself should not be a concern.
 *
 * <p>As with any performance concerns, you should consider profiling your code (in a production

    return new MergingIterator<>(iterators, comparator);
  }

  /**
   * An iterator that performs a lazy N-way merge, calculating the next value each time the iterator
   * is polled. This amortizes the sorting cost over the iteration and requires less memory than
   * sorting all elements at once.
   *
   * <p>Retrieving a single element takes approximately O(log(M)) time, where M is the number of

    return new MergingIterator<>(iterators, comparator);
  }

  /**
   * An iterator that performs a lazy N-way merge, calculating the next value each time the iterator
   * is polled. This amortizes the sorting cost over the iteration and requires less memory than
   * sorting all elements at once.
   *
   * <p>Retrieving a single element takes approximately O(log(M)) time, where M is the number of