- url: 'http://127.0.0.1:8010/webhook'
inhibit_rules:
  - source_match:
      severity: 'critical'
    target_match:
      severity: 'warning'
    equal: ['alertname', 'dev', 'instance']
```

This sample configuration uses a `webhook` at http://127.0.0.1:8010/webhook to post the alerts.
Start the AlertManager and it listens on port `9093` by default. Make sure your webhook is up and listening for the alerts.

     */
    private final SmbFileFilter ALWAYSACTIVE = new SmbFileFilter() {
        @Override
        public boolean accept(SmbFile file) throws SmbException {
            // Never inspect the file – simply accept.
            return true;
        }
    };

    /**
     * Helper filter that records the last file passed to it. Useful for
     * verifying interaction.
     */

Mas você também pode explorar os benefícios do paralelismo e multiprocessamento (tendo múltiplos processadores rodando em paralelo) para trabalhos **limitados por CPU** como aqueles em sistemas de Aprendizado de Máquina.

Isso, somado ao simples fato que Python é a principal linguagem para **Data Science**, Aprendizado de Máquina e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Aprendizado de Máquina (entre muitas outras).

      private InputStream trustedCertificatesInputStream() {
        ... // Full source omitted. See sample.
      }

      public SSLContext sslContextForTrustedCertificates(InputStream in) {
        ... // Full source omitted. See sample.
      }
    ```

 [CustomTrustJava]: https://github.com/square/okhttp/blob/master/samples/guide/src/main/java/okhttp3/recipes/CustomTrust.java

 * code verbose. Whenever following this advice, you should check whether {@code Stream} could be
 * adopted more comprehensively in your code; the end result may be quite a bit simpler.
 *
 * <h3>See also</h3>
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/OrderingExplained">{@code Ordering}</a>.
 *
 * @author Jesse Wilson

plugins {
  kotlin("jvm")
  application
}

application {
  mainClass.set("okhttp3.sample.Crawler")
}

dependencies {
  implementation(projects.okhttp)
  implementation(libs.jsoup)
}

tasks.compileJava {
  options.isWarnings = false

    return generator.create(elements.toArray());
  }

  @Override
  public Collection<E> getSampleElements(int howMany) {
    SampleElements<E> samples = samples();
    List<E> allSampleElements =
        asList(samples.e0(), samples.e1(), samples.e2(), samples.e3(), samples.e4());
    return new ArrayList<>(allSampleElements.subList(0, howMany));
  }

  @Override
  public CollectionSize getCollectionSize() {

    }

    @Override
    public SampleElements<Entry<V, K>> samples() {
      SampleElements<Entry<K, V>> samples = generator.samples();
      return new SampleElements<>(
          reverse(samples.e0()),
          reverse(samples.e1()),
          reverse(samples.e2()),
          reverse(samples.e3()),
          reverse(samples.e4()));
    }

    private Entry<V, K> reverse(Entry<K, V> entry) {

        Artifact artifact = new DefaultArtifact(
                "sample.group",
                "sample-art",
                VersionRange.createFromVersion("1.0"),
                "scope",
                "jar",
                "classifier",
                null);
        artifact.setFile(getTestFile("target/sample-art"));

        StringWagon wagon = (StringWagon) wagonManager.getWagon("string");

        docsRoot = new File(projectDir, "docsRoot")
        new File(docsRoot, 'javadoc').mkdirs()
        sampleDoc = new File(docsRoot, "sample.adoc")

        new File(projectDir,"build/working/samples/docs").mkdirs()
        sampleSampleDoc = new File(projectDir, "build/working/samples/docs/sample_sample.adoc")

        new File(projectDir,"build/working/release-notes").mkdirs()