) {
    responses.add(RecordedResponse(call.request(), null, null, null, e))
    (this as Object).notifyAll()
  }

  @Synchronized
  override fun onResponse(
    call: Call,
    response: Response,
  ) {
    val body = response.body.string()
    responses.add(RecordedResponse(call.request(), response, null, body, null))
    (this as Object).notifyAll()
  }

  /**

                    "required": ["username"],
                    "type": "object",
                    "properties": {"username": {"title": "Username", "type": "string"}},
                },
                "ValidationError": {
                    "title": "ValidationError",
                    "required": ["loc", "msg", "type"],
                    "type": "object",
                    "properties": {
                        "loc": {

    Set<Integer> x = set(1, 2);
    Set<String> y = set("3", "4");

    List<Object> exp1 = list((Object) 1, "3");
    List<Object> exp2 = list((Object) 1, "4");
    List<Object> exp3 = list((Object) 2, "3");
    List<Object> exp4 = list((Object) 2, "4");

    assertThat(Sets.<Object>cartesianProduct(x, y))
        .containsExactly(exp1, exp2, exp3, exp4)
        .inOrder();
  }

Then it would be very easy to provide a different settings object during testing by creating a dependency override for `get_settings`:

```Python hl_lines="9-10  13  21"
{!../../docs_src/settings/app02/test_main.py!}
```

In the dependency override we set a new value for the `admin_email` when creating the new `Settings` object, and then we return that new object.

Then we can test that it is used.

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

                }
            }
        }
        return tokens;
    }

    protected String[] getFieldValues(final Map<String, Object> document, final String fieldName) {
        final Object value = document.get(fieldName);
        if (value instanceof String) {
            return new String[] { value.toString() };
        }
        if (value instanceof String[]) {

    assertEquals(2 * values.size(), alternatingKeysAndValues.length);
    for (int i = 0; i < map.size(); i++) {
      Object expectedKey = alternatingKeysAndValues[2 * i];
      Object expectedValue = alternatingKeysAndValues[2 * i + 1];
      Entry<Object, Object> expectedEntry = immutableEntry(expectedKey, expectedValue);
      assertEquals(expectedEntry, entries.get(i));
      assertEquals(expectedKey, keys.get(i));

  // it acts on some changes in a ReplicaSet object.
  // +optional
  optional k8s.io.api.core.v1.ObjectReference regarding = 8;

  // related is the optional secondary object for more complex actions. E.g. when regarding object triggers
  // a creation or deletion of related object.
  // +optional
  optional k8s.io.api.core.v1.ObjectReference related = 9;

    /**
     * @throws Exception
     */
    @Test
    public void testPerformance() throws Exception {
        int num = 100000;
        Map<String, Object> hmap = new HashMap<String, Object>();
        Map<String, Object> amap = new ArrayMap<String, Object>();

        long start = System.currentTimeMillis();
        for (int i = 0; i < num; i++) {
            hmap.put(String.valueOf(i), null);
        }

		mkTest(16, 4, 8),
		// Exact simple majority consensus
		mkTest(16, 4, 9),
		// non-tiered object require read quorum of EcM
		nonTieredTest(15, 3, 12),
		// non-tiered object with fewer than EcM in consensus
		nonTieredTest(15, 3, 11),
		// non-tiered object require read quorum of EcM
		nonTieredTest(16, 4, 12),
		// non-tiered object with fewer than EcM in consensus
		nonTieredTest(16, 4, 11),
	}
	for i, test := range tests {