For large responses, returning a `Response` directly is much faster than returning a dictionary.

This is because by default, FastAPI will inspect every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.

const base64BufferSize = 64 * humanize.KiByte

var (
	base64BufPool bpool.Pool[*[]byte]
	hmacSigners   []*SigningMethodHMAC
)

func init() {
	base64BufPool = bpool.Pool[*[]byte]{
		New: func() *[]byte {
			buf := make([]byte, base64BufferSize)
			return &buf
		},
	}

	hmacSigners = []*SigningMethodHMAC{
		{Name: "HS256", Hash: crypto.SHA256},
		{Name: "HS384", Hash: crypto.SHA384},
		{Name: "HS512", Hash: crypto.SHA512},
	}

     */
    public boolean isDefaultRule() {
        return defaultRule;
    }

    /**
     * Sets whether this rule should be a default rule that matches all responses.
     * @param defaultRule true to make this a default rule, false otherwise
     */
    public void setDefaultRule(final boolean defaultRule) {
        this.defaultRule = defaultRule;
    }

    /**

- **Network Layer**: Transport abstraction, NetBIOS name resolution, session management

### Contributing

We welcome contributions! Please:
1. Fork the repository
2. Create a feature branch
3. Make your changes with appropriate tests
4. Run `mvn clean test` to ensure all tests pass
5. Submit a pull request

### License

        verifyNoInteractions(mockDir);
    }

    /**
     * Interaction with dependency: implementation can use directory's methods to make decisions.
     * Tests a filter that uses directory path information.
     */
    @Test
    @DisplayName("filter can use SmbFile directory for decision logic")
    void filterCanUseSmbFileForDecision() throws Exception {

        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        writeLittleEndianInt(baos, 0); // buffer count = 0
        writeLittleEndianInt(baos, 99); // invalid version
        baos.write(new byte[1]); // Make it > 8 bytes
        byte[] pacData = baos.toByteArray();

        PACDecodingException e = assertThrows(PACDecodingException.class, () -> new Pac(pacData, keys));
        // The error could be about version or missing buffers

      }
    }
    out.close();

    // Check that source returns the right data
    assertThat(source.read()).isEqualTo(data);

    // Make sure that reset deleted the file
    out.reset();
    if (file != null) {
      assertFalse(file.exists());
    }
  }


  public void testThreshold_resetOnFinalize() throws Exception {

---

## Install FastAPI { #install-fastapi }

The first step is to install FastAPI.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then **install FastAPI**:

<div class="termy">

```console
$ pip install "fastapi[standard]"

            if (projectName != "tooling-api") {
                exclude("**/*-sources.jar")
            }
            exclude("**/*-javadoc.jar")
        }.files.toSortedSet()

    /**
     * Make sure this stays type FileCollection (lazy) to avoid losing dependency information.
     */
    @get:InputFiles
    @get:PathSensitive(PathSensitivity.RELATIVE)
    val metadatas: FileCollection

 * API</h2>
 *
 * <p>The successor to Guava's caching API is <a
 * href="https://github.com/ben-manes/caffeine/wiki">Caffeine</a>. Its API is designed to make it a
 * nearly drop-in replacement. Note that it is not available for Android or GWT/J2CL and that it may
 * have <a href="https://github.com/ben-manes/caffeine/wiki/Guava">different (usually better)