*/
  public static <T extends @Nullable Object> T[] newArray(T[] reference, int length) {
    return Platform.newArray(reference, length);
  }

  /**
   * Returns a new array that contains the concatenated contents of two arrays.
   *
   * @param first the first array of elements to concatenate
   * @param second the second array of elements to concatenate
   * @param type the component type of the returned array
   */

     * aka OPEN_ALWAYS
     */

    static final int FILE_OPEN_IF = 0x3;

    /*
     * Open the file and overwrite it's contents or fail if it does not exist
     * aka TRUNCATE_EXISTING
     */

    static final int FILE_OVERWRITE = 0x4;

    /*
     * Open the file and overwrite it's contents or create it if it does not exist
     * aka CREATE_ALWAYS (according to the wire when calling CreateFile)
     */

  }

  /**
   * Creates an ImmutableMap from the first n entries in entryArray. This implementation may replace
   * the entries in entryArray with its own entry objects (though they will have the same key/value
   * contents), and may take ownership of entryArray.
   */
  static <K, V> ImmutableMap<K, V> fromEntryArray(
      int n, @Nullable Entry<K, V>[] entryArray, boolean throwIfDuplicateKeys) {
    checkPositionIndex(n, entryArray.length);

   * '\n'}), a carriage return ({@code '\r'}), or a carriage return followed immediately by a
   * linefeed ({@code "\r\n"}).
   *
   * @return a {@code String} containing the contents of the line, not including any
   *     line-termination characters, or {@code null} if the end of the stream has been reached.
   * @throws IOException if an I/O error occurs
   */
  @CanIgnoreReturnValue // to skip a line

Zum Beispiel können Sie innerhalb einer `async` *Pfadoperation-Funktion* den Inhalt wie folgt auslesen:

```Python
contents = await myfile.read()
```

Wenn Sie sich innerhalb einer normalen `def`-*Pfadoperation-Funktion* befinden, können Sie direkt auf `UploadFile.file` zugreifen, zum Beispiel:

```Python
contents = myfile.file.read()
```

/// note | Technische Details zu `async`

 * library.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/PrimitivesExplained">primitive utilities</a>.
 *
 * <h2>Contents</h2>
 *
 * <h3>Value types</h3>
 *
 * <ul>
 *   <li>{@link ImmutableDoubleArray}
 *   <li>{@link ImmutableIntArray}
 *   <li>{@link ImmutableLongArray}
 *   <li>{@link UnsignedInteger}

# limitations under the License.
# ==============================================================================

name: ARM CI

on:
  push:
    branches:
      - master
      - r2.**
permissions:
  contents: read

jobs:
  build:
    # Don't do this in forks, and if labeled, only for 'kokoro:force-run'

Decommissiong is a mechanism in MinIO to drain older pools (usually with old hardware) and migrate the content from such pools to a newer pools (usually better hardware). Decommissioning spreads the data across all pools - for example, if you decommission `pool1`, all the data from `pool1` spreads across `pool2` and `pool3`.

## Features

- A pool in decommission still allows READ access to all its contents, newer WRITEs will automatically be scheduled to only pools not in decommission status.

      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write
      # Uncomment the permissions below if installing in a private repository.
      # contents: read
      # actions: read

    steps:
      - name: "Checkout code"
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
        with:
          persist-credentials: false

name: ARM CD

on:
  push:
    tags:
      - v2.**
    branches:
      - r2.**
  schedule:
    - cron: '0 8 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      fail-fast: false
      matrix: