}

  dlm_tensor->dl_tensor.shape = shape_arr->data();
  // There are two ways to represent compact row-major data
  // 1) nullptr indicates tensor is compact and row-majored.
  // 2) fill in the strides array as the real case for compact row-major data.
  // Here we choose option 2, since some frameworks didn't handle the strides
  // argument properly.

		flat.Compacted = true
		var compact bool
		if flat.Objects < dataScannerCompactLeastObject {
			compact = true
		} else {
			// Compact if we only have objects as children...
			compact = true
			for k := range into.Children {
				if v, ok := f.newCache.Cache[k]; ok {
					if len(v.Children) > 0 || v.Objects > 1 {
						compact = false
						break
					}
				}
			}

		}

        val lowerBoundText = prettyPrint { renderType(type.lowerBound, this@prettyPrint) }
        val upperBoundText = prettyPrint { renderType(type.upperBound, this@prettyPrint) }
        printer.append(DescriptorRenderer.COMPACT.renderFlexibleType(lowerBoundText, upperBoundText, type.builtIns))
    }

    private fun Fe10AnalysisContext.renderDefinitelyNotNullType(type: DefinitelyNotNullType, printer: PrettyPrinter) {

 * that {@linkplain #mightContain(Object)} will erroneously return {@code true} for an object that
 * has not actually been put in the {@code BloomFilter}.
 *
 * <p>Bloom filters are serializable. They also support a more compact serial representation via the
 * {@link #writeTo} and {@link #readFrom} methods. Both serialized forms will continue to be
 * supported by future versions of this library. However, serial forms generated by newer versions

	}
	c, err := b.ReadByte()
	if err != nil {
		t.Fatalf("ReadByte: %v", err)
	}
	if c != 'm' {
		t.Errorf("ReadByte = %q; want %q", c, 'm')
	}
}

// Tests that we occasionally compact. Issue 5154.
func TestBufferGrowth(t *testing.T) {
	var b Buffer
	buf := make([]byte, 1024)
	b.Write(buf[0:1])
	var cap0 int
	for i := 0; i < 5<<10; i++ {
		b.Write(buf)
		b.Read(buf)
		if i == 0 {

func (d *dataUsageCache) reduceChildrenOf(path dataUsageHash, limit int, compactSelf bool) {
	e, ok := d.Cache[path.Key()]
	if !ok {
		return
	}
	if e.Compacted {
		return
	}
	// If direct children have more, compact all.
	if len(e.Children) > limit && compactSelf {
		flat := d.sizeRecursive(path.Key())
		flat.Compacted = true
		d.deleteRecursive(path)
		d.replaceHashed(path, nil, *flat)
		return
	}

pkg debug/elf, const EM_AMDGPU Machine
pkg debug/elf, const EM_ARCA = 109
pkg debug/elf, const EM_ARCA Machine
pkg debug/elf, const EM_ARC_COMPACT = 93
pkg debug/elf, const EM_ARC_COMPACT Machine
pkg debug/elf, const EM_ARC_COMPACT2 = 195
pkg debug/elf, const EM_ARC_COMPACT2 Machine
pkg debug/elf, const EM_AVR = 83
pkg debug/elf, const EM_AVR Machine
pkg debug/elf, const EM_AVR32 = 185
pkg debug/elf, const EM_AVR32 Machine

   */
  public static final MediaType JAVASCRIPT_UTF_8 =
      createConstantUtf8(APPLICATION_TYPE, "javascript");

  /**
   * For <a href="https://tools.ietf.org/html/rfc7515">JWS or JWE objects using the Compact
   * Serialization</a>.
   *
   * @since 27.1
   */
  public static final MediaType JOSE = createConstant(APPLICATION_TYPE, "jose");

  /**

 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
 * very compact {@code Striped<Lock>} of {@code availableProcessors() * 4} stripes, instead of
 * possibly thousands of locks which could be created in a {@code Map<K, Lock>} structure.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */

<setting id="org.eclipse.jdt.core.formatter.brace_position_for_lambda_body" value="end_of_line"/>
<setting id="org.eclipse.jdt.core.formatter.compact_else_if" value="true"/>
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_comma_in_type_parameters" value="do not insert"/>