rResources := make([]string, 1000)
	quorum := 0
	l := newLocker()
	ctx := t.Context()
	for i := range wResources {
		arg := dsync.LockArgs{
			UID:       mustGetUUID(),
			Resources: []string{mustGetUUID()},
			Source:    t.Name(),
			Owner:     "owner",
			Quorum:    &quorum,
		}
		ok, err := l.Lock(ctx, arg)
		if err != nil {
			t.Fatal(err)
		}
		if !ok {
			t.Fatal("did not get write lock")
		}

     *
     * @param session the {@link Session}, must not be {@code null}
     * @param installationToolchainsFile The {@link Source} pointing to the installation toolchains, must not be {@code null}
     * @param userToolchainsSource The {@link Source} pointing to the user toolchains, must not be {@code null}
     * @throws ToolchainsBuilderException if the project cannot be created

  val onException: (IOException) -> Unit,
) : ForwardingSink(delegate) {
  private var hasErrors = false

  override fun write(
    source: Buffer,
    byteCount: Long,
  ) {
    if (hasErrors) {
      source.skip(byteCount)
      return
    }
    try {
      super.write(source, byteCount)
    } catch (e: IOException) {
      hasErrors = true
      onException(e)
    }
  }

  override fun flush() {

 */
class HeadersReader(
  val source: BufferedSource,
) {
  private var headerLimit = HEADER_LIMIT.toLong()

  /** Read a single line counted against the header size limit. */
  fun readLine(): String {
    val line = source.readUtf8LineStrict(headerLimit)
    headerLimit -= line.length.toLong()
    return line
  }

<module>
<source path="">
  <!-- Hack to keep collect from hiding collect.testing supersource: -->
  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

### Bug Fixes and Other Changes

*   Add TensorFlow Quantizer to TensorFlow pip package.

*   `tf.sparse.segment_sum` `tf.sparse.segment_mean` `tf.sparse.segment_sqrt_n` `SparseSegmentSum/Mean/SqrtN[WithNumSegments]`

    *   Added `sparse_gradient` option (default=false) that makes the gradient of these functions/ops sparse (`IndexedSlices`) instead of dense (`Tensor`), using new `SparseSegmentSum/Mean/SqrtNGradV2` ops.

    /**
     * Install an artifact from a particular file.
     *
     * @param source the file to install
     * @param artifact the artifact definition
     * @param localRepository the local repository to install into
     * @throws ArtifactInstallationException if an error occurred installing the artifact
     */
    void install(File source, Artifact artifact, ArtifactRepository localRepository)

    private static final int CHUNK_SIZE = 24;

    @Mock
    private SrvCopychunk mockChunk;

    @BeforeEach
    void setUp() {
    }

    @Nested
    @DisplayName("Constructor Tests")
    class ConstructorTests {

        @Test
        @DisplayName("Should create instance with source key and single chunk")

      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,

      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,