// Expected
        }
    }

    /**
     * Test name method
     */
    public void test_name() {
        assertEquals("INITIALIZING", CrawlerStatus.INITIALIZING.name());
        assertEquals("RUNNING", CrawlerStatus.RUNNING.name());
        assertEquals("DONE", CrawlerStatus.DONE.name());
    }

    /**
     * Test ordinal method
     */
    public void test_ordinal() {

        HMACT64 clonedHmac = (HMACT64) originalHmac.clone();

        assertNotNull(clonedHmac);
        assertNotSame(originalHmac, clonedHmac);

        // Both should produce the same result when given the same remaining data
        originalHmac.engineUpdate(TEST_DATA, TEST_DATA.length / 2, TEST_DATA.length - TEST_DATA.length / 2);

}
</pre>

<p>
A field declared with a type but no explicit field name is called an <i>embedded field</i>.
An embedded field must be specified as
a type name <code>T</code> or as a pointer to a non-interface type name <code>*T</code>,
and <code>T</code> itself may not be
a pointer type or type parameter. The unqualified type name acts as the field name.
</p>

<pre>

 ${project.home}/maven.properties file.

Plugin configuration

 The configuration of plugins is of the same form as the maven {{{plugin-descriptors}plugin descriptors}}
 themselves:

+-----+
<plugins>
  <plugin>
   <id>xdoc</id>
   <version>1.0</version>
   <parameters>
     <parameter>
       <name>theme</name>
       <value>classic</value>
     </parameter>
   </parameters>
  </plugin>
</plugins>

                }
            }
        }
    }
}
```

## Additional media types for the main response { #additional-media-types-for-the-main-response }

You can use this same `responses` parameter to add different media types for the same main response.

For example, you can add an additional media type of `image/png`, declaring that your *path operation* can return a JSON object (with media type `application/json`) or a PNG image:

    for (int i = 0; i < keyBits; i++) {
      int same = 0x0; // bitset for output bits with same values
      int diff = 0x0; // bitset for output bits with different values
      int count = 0;
      // originally was 2 * Math.log(...), making it try more times to avoid flakiness issues
      int maxCount = (int) (4 * Math.log(2 * keyBits * hashBits) + 1);
      while (same != 0xffffffff || diff != 0xffffffff) {

	encodedQuery := query.Encode()

	// Verify if date query is same.
	if req.Form.Get(xhttp.AmzDate) != query.Get(xhttp.AmzDate) {
		return ErrSignatureDoesNotMatch
	}
	// Verify if expires query is same.
	if req.Form.Get(xhttp.AmzExpires) != query.Get(xhttp.AmzExpires) {
		return ErrSignatureDoesNotMatch
	}
	// Verify if signed headers query is same.

	"github.com/secure-io/sio-go"
	"github.com/secure-io/sio-go/sioutil"
)

// EncryptBytes encrypts the plaintext with a key managed by KMS.
// The context is bound to the returned ciphertext.
//
// The same context must be provided when decrypting the
// ciphertext.
func EncryptBytes(k *kms.KMS, plaintext []byte, context kms.Context) ([]byte, error) {
	ciphertext, err := Encrypt(k, bytes.NewReader(plaintext), context)

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0