assertThat(graph.incidentEdgeOrder()).isEqualTo(ElementOrder.stable());
  }

  @Test
  public void copyOf_fromUnorderedGraph_incidentEdgeOrder() {
    ImmutableGraph<Object> graph =
        ImmutableGraph.copyOf(
            GraphBuilder.undirected().incidentEdgeOrder(ElementOrder.unordered()).build());

    assertThat(graph.incidentEdgeOrder()).isEqualTo(ElementOrder.stable());
  }

  @Test

    assertThat(graph.incidentEdgeOrder()).isEqualTo(ElementOrder.stable());
  }

  @Test
  public void copyOf_fromUnorderedGraph_incidentEdgeOrder() {
    ImmutableGraph<Object> graph =
        ImmutableGraph.copyOf(
            GraphBuilder.undirected().incidentEdgeOrder(ElementOrder.unordered()).build());

    assertThat(graph.incidentEdgeOrder()).isEqualTo(ElementOrder.stable());
  }

  @Test

      keyTable[keyBucket] = newEntry;
      valueTable[valueBucket] = newEntry;
      entries[i] = newEntry;
      hashCode += keyHash ^ valueHash;
    }
    return new RegularImmutableBiMap<>(keyTable, valueTable, entries, mask, hashCode);
  }

  private RegularImmutableBiMap(
      @Nullable ImmutableMapEntry<K, V> @Nullable [] keyTable,

    assertThat(successCalls[0]).isEqualTo(1);
    assertThat(failureCalls[0]).isEqualTo(0);
  }

  public void testWildcardFuture() {
    SettableFuture<String> settable = SettableFuture.create();
    ListenableFuture<?> f = settable;
    FutureCallback<@Nullable Object> callback =
        new FutureCallback<@Nullable Object>() {
          @Override
          public void onSuccess(@Nullable Object result) {}

    Builder(ValueGraphBuilder<N, V> graphBuilder) {
      // The incidentEdgeOrder for immutable graphs is always stable. However, we don't want to
      // modify this builder, so we make a copy instead.
      this.mutableValueGraph =
          graphBuilder.copy().incidentEdgeOrder(ElementOrder.<N>stable()).build();
    }

    /**
     * Adds {@code node} if it is not already present.
     *

Un detalle interesante es que el porcentaje de **CPU utilizado** por cada proceso puede **variar** mucho con el tiempo, pero la **memoria (RAM)** normalmente permanece más o menos **estable**.

Si tienes una API que hace una cantidad comparable de cálculos cada vez y tienes muchos clientes, entonces la **utilización de CPU** probablemente *también sea estable* (en lugar de constantemente subir y bajar rápidamente).

  pull-requests: read

jobs:
  golangci:
    name: lint
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: stable
      - name: golangci-lint
        uses: golangci/golangci-lint-action@v7
        with:
          version: v2.0

Run the following command to install the latest stable MinIO package using [Homebrew](https://brew.sh/). Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data.

```sh
brew install minio/stable/minio
minio server /data
```

> [!NOTE]
> If you previously installed minio using `brew install minio` then it is recommended that you reinstall minio from `minio/stable/minio` official repo instead.

```sh

# Security Policy

## Supported Versions

We support the past two Go releases (for example, Go 1.17.x and Go 1.18.x when Go 1.18.x is the latest stable release).

See https://go.dev/wiki/Go-Release-Cycle and in particular the
[Release Maintenance](https://go.dev/wiki/Go-Release-Cycle#release-maintenance)
part of that page.

## Reporting a Vulnerability

        Artifact a = createArtifact("a", "0.0.1-SNAPSHOT");
        File file = new File(localRepository.getBasedir(), localRepository.pathOf(a));
        file.delete();
        a.setFile(file);

        File touchFile = updateCheckManager.getTouchfile(a);
        touchFile.delete();

        assertTrue(updateCheckManager.isUpdateRequired(a, remoteRepository));

        file.getParentFile().mkdirs();