// Typical server response after copying chunks
            byte[] buffer = createValidCopyChunkResponse(16, // 16 chunks written
                    1048576, // 1MB per chunk
                    16777216 // 16MB total
            );

            int bytesDecoded = response.decode(buffer, 0, buffer.length);

            assertEquals(12, bytesDecoded);

{* ../../docs_src/advanced_middleware/tutorial003_py39.py hl[2,6] *}

Die folgenden Argumente werden unterstützt:

* `minimum_size` – Responses, die kleiner als diese Mindestgröße in Bytes sind, nicht per GZip komprimieren. Der Defaultwert ist `500`.

          <type>String</type>
          <defaultValue>per-lookup</defaultValue>
          <description>Specify the instantiation strategy.</description>
        </field>
        <field>
          <name>executionStrategy</name>
          <version>1.0.0/1.1.0</version>
          <type>String</type>
          <description>
            Specify the execution strategy: {@code once-per-session}, {@code always}.
          </description>

        final KDFCounterBytesGenerator gen = new KDFCounterBytesGenerator(new HMac(new SHA256Digest()));

        final int r = 32;
        final byte[] suffix = new byte[label.length + context.length + 5];
        // per bouncycastle
        // <li>1: K(i) := PRF( KI, [i]_2 || Label || 0x00 || Context || [L]_2 ) with the counter at the very beginning
        // of the fixedInputData (The default implementation has this format)</li>

     */
    @Test
    void testToStringContainsExpectedFields() {
        // Given
        int sid = 4660; // 0x1234, printed as decimal
        int resumeKey = 0x01020304; // shows only low 4 hex digits per implementation
        String name = "name";
        Trans2FindNext2 next = new Trans2FindNext2(sid, resumeKey, name);

        // When
        String s = next.toString();

        // Then

#### A "professional" attack { #a-professional-attack }

Of course, the attackers would not try all this by hand, they would write a program to do it, possibly with thousands or millions of tests per second. And they would get just one extra correct letter at a time.

	echo
	echo -e "${GREEN}Running test_resiliency_failure_with_server_down_and_single_disk_offline ...${NC}"
	# Stop one node
	docker stop resiliency-minio1-1
	# In additional, suspend one more disk per set in order to induce a failure
	docker exec resiliency-minio2-1 /bin/sh -c "mv /data2/.minio.sys /data2/.minio.bkp && touch /data2/.minio.sys"

     */
    private boolean existNextPage;

    /**
     * The list of page numbers for navigation.
     */
    private List<Integer> pageNumberList;

    /**
     * The number of records per page.
     */
    private int pageSize;

    /**
     * The current page number.
     */
    private int currentPageNumber;

    /** Bad word ID for search filtering. */
    public String id;

simultaneous connections wastes resources; too few harms latency.

For asynchronous calls, [`Dispatcher`](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-dispatcher/) implements policy for maximum simultaneous requests. You can set maximums per-webserver (default is 5), and overall (default is 64)....

awscli s3api put-object-lock-configuration --bucket mybucket --object-lock-configuration 'ObjectLockEnabled=\"Enabled\",Rule={DefaultRetention={Mode=\"GOVERNANCE\",Days=1}}'
```

### Set object lock

PutObject API allows setting per object retention mode and retention duration using `x-amz-object-lock-mode` and `x-amz-object-lock-retain-until-date` headers. This takes precedence over any bucket object lock configuration w.r.t retention.

```sh