if (!vertices.contains(vertex)) {
            vertices.add(vertex);
        }

        if (parentVertex != null) // then create the edge
        {
            ArtifactMetadata md = node.getMd();
            MetadataGraphEdge e =
                    new MetadataGraphEdge(md.version, md.resolved, md.artifactScope, md.artifactUri, depth, pomOrder);

        long start = System.currentTimeMillis() / 1000 * 1000;
        // this is not too great as it depends on timing/clockskew
        // first we need to obtain a ticket, therefor need valid credentials
        // then we need to wait until the ticket is expired
        int wait = 10 * 1000;
        long princExp = start + ( wait / 2 );

   * is requested for a domain minimum or maximum. For example, if {@code set} was created from the
   * range {@code [1..Integer.MAX_VALUE]} then {@code set.range(CLOSED, OPEN)} must return {@code
   * [1..∞)}.
   *
   * @throws NoSuchElementException if this set is empty
   */
  public abstract Range<C> range(BoundType lowerBoundType, BoundType upperBoundType);

   * Multimap#asMap} view determines the ordering in which data is written to the stream.
   *
   * <p>The serialized output consists of the number of distinct keys, and then for each distinct
   * key: the key, the number of values for that key, and the key's values.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void writeMultimap(

 * the access mask of the ACE, the access check is successful. Otherwise,
 * more ACEs are evaluated until all desired access bits (combined)
 * are "allowed". If all of the desired access bits are not "allowed"
 * the then same process is repeated for inherited ACEs.
 * <p>
 * For example, if user <tt>WNET\alice</tt> tries to open a file
 * with desired access bits <tt>0x00000003</tt> (<tt>FILE_READ_DATA |

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied
# to tensorflow/ which does have these two directories.

try:
  del python
except NameError:
  pass
try:
  del core
except NameError:
  pass
try:
  del compiler

   * While intuitively, using CharsetEncoder to encode the CharSequence directly to the buffer (or
   * even to an intermediate buffer) should be considerably more efficient than potentially
   * copying the CharSequence to a String and then calling getBytes(Charset) on that String, in
   * reality there are optimizations that make the getBytes(Charset) approach considerably faster,
   * at least for commonly used charsets like UTF-8.
   */

  @Override

        return interpolate(model, context, true);
    }

    /**
     * Serialize the inbound Model instance to a StringWriter, perform the regex replacement to resolve
     * POM expressions, then re-parse into the resolved Model instance.
     * <p>
     * <b>NOTE:</b> This will result in a different instance of Model being returned!!!
     *

    assertThrows(IndexOutOfBoundsException.class, () -> sink.putBytes(new byte[8], 0, -1));
  }

  /**
   * This test creates a long random sequence of inputs, then a lot of differently configured sinks
   * process it; all should produce the same answer, the only difference should be the number of
   * process()/processRemaining() invocations, due to alignment.
   */

Follow below steps to get started with MinIO monitoring using Prometheus.

### 1. Download Prometheus

[Download the latest release](https://prometheus.io/download) of Prometheus for your platform, then extract it

```sh
tar xvfz prometheus-*.tar.gz
cd prometheus-*
```