{* ../../docs_src/path_operation_configuration/tutorial003_py310.py hl[18:19] *}

## Description from docstring { #description-from-docstring }

        run: |
          sudo sysctl net.ipv6.conf.all.disable_ipv6=0
          sudo sysctl net.ipv6.conf.default.disable_ipv6=0
          make test-iam
      - name: Test with multiple OpenID providers
        if: matrix.openid == 'http://127.0.0.1:5556/dex'
        env:
          _MINIO_LDAP_TEST_SERVER: ${{ matrix.ldap }}
          _MINIO_ETCD_TEST_SERVER: ${{ matrix.etcd }}

# MinIO Server Limits Per Tenant

For optimal production setup MinIO recommends Linux kernel version 4.x and later.

## Erasure Code (Multiple Drives / Servers)

| Item                                                            | Specification |
|:----------------------------------------------------------------|:--------------|
| Maximum number of servers per cluster                           | no-limit      |

### Automatic docs { #automatic-docs }

Interactive API documentation and exploration web user interfaces. As the framework is based on OpenAPI, there are multiple options, 2 included by default.

   * e]}.
   */
  @Override
  String toString();

  // Refined Collection Methods

  /**
   * {@inheritDoc}
   *
   * <p>Elements that occur multiple times in the multiset will appear multiple times in this
   * iterator, though not necessarily sequentially.
   */
  @Override
  Iterator<E> iterator();

  /**
   * Determines whether this multiset contains the specified element.

The webhooks that you define will end up in the **OpenAPI** schema and the automatic **docs UI**.

/// info

The `app.webhooks` object is actually just an `APIRouter`, the same type you would use when structuring your app with multiple files.

///

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## Использование одной и той же зависимости несколько раз { #using-the-same-dependency-multiple-times }

				</DelMarkerExpiration>
                            <Status>Enabled</Status>
	                    </Rule>`,
			expectedErr: errInvalidRuleDelMarkerExpiration,
		},
		{
			inputXML: `<Rule>
				<ID>Rule with multiple tags and DelMarkerExpiration</ID>
				<Filter><And>
				<Tag><Key>k1</Key><Value>v1</Value></Tag>
				<Tag><Key>k2</Key><Value>v2</Value></Tag>
				</And></Filter>
				<DelMarkerExpiration>
					<Days>365</Days>

        ResponseData responseData3 = new ResponseData();
        responseData3.setHttpStatusCode(500);
        assertFalse(rule.match(responseData3));
    }

    /**
     * Test ConfigurableRule with multiple conditions (AND logic)
     */
    public void test_configurableRule_multipleConditions() {
        ConfigurableRule rule = new ConfigurableRule();
        rule.setRuleId("multiRule");

in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs...