* are valid.
   *
   * @param rowKey row key of mapping to be erased
   * @param columnKey column key of mapping to be erased
   * @return the value previously associated with the keys, or {@code null} if no mapping existed
   *     for the keys
   */
  @CanIgnoreReturnValue
  public @Nullable V erase(@Nullable Object rowKey, @Nullable Object columnKey) {
    Integer rowIndex = rowKeyToIndex.get(rowKey);

When using Veeam Backup and Replication, you can use S3 compatible object storage such as MinIO as a capacity tier for backups.  This disaggregates storage for the Veeam infrastructure and allows you to retain control of your data. With the ease of use of setup and administration of MinIO, it allows a Veeam backup admin to easily deploy their own object store for capacity tiering.

## Prerequisites

## Detalhes Técnicos

Versões modernas de Python tem suporte para **"código assíncrono"** usando algo chamado **"corrotinas"**, com sintaxe **`async` e `await`**.

Vamos ver aquela frase por partes na seção abaixo:

* **Código assíncrono**
* **`async` e `await`**
* **Corrotinas**

## Código assíncrono

## Detalles Técnicos

Las versiones modernas de Python tienen soporte para **"código asíncrono"** utilizando algo llamado **"coroutines"**, con la sintaxis **`async` y `await`**.

Veamos esa frase por partes en las secciones a continuación:

* **Código Asíncrono**
* **`async` y `await`**
* **Coroutines**

## Código Asíncrono

Each endpoint can be queried as needed via a scrape configuration in Prometheus or a compatible metrics collection tool. You should schedule scrape operations so a prior scrape completes before the next one begins.

For ease of configuration, each (non-empty) parent of the path serves all the metric endpoints at its child paths. For example, to query all system metrics scrape `/minio/metrics/v3/system/`.

		result := sliceOfString(slices.Collect(Lines([]byte(s.a))))
		if !slices.Equal(result, s.b) {
			t.Errorf(`slices.Collect(Lines(%q)) = %q; want %q`, s.a, result, s.b)
		}
	}
}

// For ease of reading, the test cases use strings that are converted to byte
// slices before invoking the functions.

var abcd = "abcd"
var faces = "☺☻☹"
var commas = "1,2,3,4"
var dots = "1....2....3....4"

Yasir Modak, Yong Tang, Yongfeng Gu, Yuchen Ying, Yuxin Wu, zyeric, 王振华 (Zhenhua
Wang)

# Release 2.0.0

## Major Features and Improvements

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.