return nil, oErr
	}
	return queueStore, nil
}

// Tear down queue store.
func tearDownQueueStore() error {
	return os.RemoveAll(queueDir)
}

// TestQueueStorePut - tests for store.Put
func TestQueueStorePut(t *testing.T) {
	defer func() {
		if err := tearDownQueueStore(); err != nil {
			t.Fatal("Failed to tear down store ", err)
		}
	}()
	store, err := setUpQueueStore(queueDir, 100)

    double twoToThe53 = Math.pow(2, 53);
    // the representable doubles are 2^53 and 2^53 + 2.
    // 2^53+1 is halfway between, so HALF_UP will go up and HALF_DOWN will go down.
    new RoundToDoubleTester(BigDecimal.valueOf((1L << 53) + 1))
        .setExpectation(twoToThe53, DOWN, FLOOR, HALF_DOWN, HALF_EVEN)
        .setExpectation(Math.nextUp(twoToThe53), CEILING, UP, HALF_UP)
        .roundUnnecessaryShouldThrow()
        .test();
  }

= true ]; then if checkBucketExists $BUCKET ; then echo "Purging bucket '$BUCKET'." set +e ; # don't exit if this fails ${MC} rm -r --force myminio/$BUCKET set -e ; # reset `e` as active else echo "Bucket '$BUCKET' does not exist, skipping purge." fi fi # Create the bucket if it does not exist if ! checkBucketExists $BUCKET ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET else echo "Bucket '$BUCKET' already exists." fi # set versioning for bucket if [ ! -z $VERSIONING ] ; then if...

 maven-it-plugin 0.1 it false true generate-metadata Does nothing. compile false true false false false true process-classes org.apache.maven.plugin.coreit.DMojo java per-lookup once-per-session java Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.AMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} generate-test-metadata Does nothing. test false true false false false true process-test-classes...

    final ProgressListener progressListener = new ProgressListener() {
      boolean firstUpdate = true;

      @Override public void update(long bytesWritten, long contentLength, boolean done) {
        if (done) {
          System.out.println("completed");
        } else {
          if (firstUpdate) {
            firstUpdate = false;
            if (contentLength == -1) {

      description: If so, how does this proposal differ?
      placeholder: |
       Yes or No

       If yes, 
        1. Mention the related proposals 
        2. then describe how this proposal differs       
    validations:
      required: true

  - type: textarea
    id: error-handling-proposal
    attributes:
      label: Does this affect error handling?

= true ]; then if checkBucketExists $BUCKET ; then echo "Purging bucket '$BUCKET'." set +e ; # don't exit if this fails ${MC} rm -r --force myminio/$BUCKET set -e ; # reset `e` as active else echo "Bucket '$BUCKET' does not exist, skipping purge." fi fi # Create the bucket if it does not exist if ! checkBucketExists $BUCKET ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET else echo "Bucket '$BUCKET' already exists." fi # set versioning for bucket if [ ! -z $VERSIONING ] ; then if...

  protected AbstractIterator() {}

  private enum State {
    READY,
    NOT_READY,
    DONE,
    FAILED,
  }

  private @Nullable T next;

  protected abstract @Nullable T computeNext();

  @CanIgnoreReturnValue
  protected final @Nullable T endOfData() {
    state = State.DONE;
    return null;
  }

  @Override
  public final boolean hasNext() {
    checkState(state != State.FAILED);

		return nil, fmt.Errorf("'%s' does not start with '%s'", rangeString, byteRangePrefix)
	}

	// Trim byte range prefix.
	byteRangeString := strings.TrimPrefix(rangeString, byteRangePrefix)

	// Check if range string contains delimiter '-', else return error. eg. "bytes=8"
	sepIndex := strings.Index(byteRangeString, "-")
	if sepIndex == -1 {
		return nil, fmt.Errorf("'%s' does not have a valid range value", rangeString)
	}

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.