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);

After that, all of the processing logic is the same.

But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed.

## Accessing the request body in an exception handler { #accessing-the-request-body-in-an-exception-handler }

/// tip

# 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@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1

	"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)

// The iterator yields the same subslices that would be returned by [Split](s, sep),
// but without constructing a new slice containing the subslices.
// It returns a single-use iterator.
func SplitSeq(s, sep []byte) iter.Seq[[]byte] {
	return splitSeq(s, sep, 0)
}

// SplitAfterSeq returns an iterator over subslices of s split after each instance of sep.

    #  You can drop additional other schemas.
    #  Elements of this map are as below:
    #   o url: (NotRequired - Default same as main schema)
    #   o schema: (Required: if empty schema means valid schema, not required)
    #   o user: (NotRequired - Default same as main schema)
    #   o password: (NotRequired - Default same as main schema)
    #   o propertiesMap: (NotRequired - Default map:{})

 * this implementation type; that is no hint/name.
 *
 * This leads to a second side effect in that any @Inject request for just ModelProcessor in
 * the same injector is immediately matched to this explicit binding, which means extensions
 * cannot override this binding. This is because the lookup is always short-circuited in this
 * specific situation (plain @Inject request, and plain explicit binding for the same type.)
 *

    @DisplayName("Constructor stores and exposes same array reference")
    void constructor_and_get_referenceSemantics() {
        // Arrange
        byte[] data = new byte[] { (byte) 0xDE, (byte) 0xAD, (byte) 0xBE, (byte) 0xEF };

        // Act
        SecurityBlob blob = new SecurityBlob(data);

        // Assert
        assertSame(data, blob.get(), "get() should expose the same array reference passed in");

import org.opentest4j.TestAbortedException

/**
 * This test binds two different web servers (IPv4 and IPv6) to the same port, but on different
 * local IP addresses. Requests made to `127.0.0.1` will reach the IPv4 server, and requests made to
 * `::1` will reach the IPv6 server.
 *
 * By orchestrating two different servers with the same port but different IP addresses, we can
 * test what OkHttp does when both are reachable, or if only one is reachable.

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.