# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

        return path.toString();
    }

    private String insertRepositoryKey(String filename, String repositoryKey) {
        String result;
        int idx = filename.indexOf('.');
        if (idx < 0) {
            result = filename + '-' + repositoryKey;
        } else {
            result = filename.substring(0, idx) + '-' + repositoryKey + filename.substring(idx);

                elementStack.removeFirst();
                visitor.onEndHtmlElement(element);
            }
        }

        private void unwindTo(Collection<String> ancestors, TokenVisitor visitor) {
            for (int i = 0; i < elementStack.size(); i++) {
                if (ancestors.contains(elementStack.get(i))) {
                    for (; i > 0; i--) {
                        visitor.onEndHtmlElement(elementStack.removeFirst());

        final String enc = responseData.getCharSet();

        if (name == null || enc == null) {
            return null;
        }

        name = name.replaceAll("/+$", "");
        final int idx = name.lastIndexOf('/');
        if (idx >= 0) {
            name = name.substring(idx + 1);
        }
        try {
            return URLDecoder.decode(name, enc);

                .getHandle("ncacn_np:" + getTestServer() + "[\\PIPE\\lsarpc]", withTestNTLMCredentials(getContext())) ) {
            String server = handle.getServerWithDfs();
            int dot = server.indexOf('.');
            if ( dot > 0 && Character.isDigit(server.charAt(0)) == false )
                server = server.substring(0, dot);

from pydantic import BaseModel


class Model1(BaseModel):
    foo: str
    bar: str


class Model2(BaseModel):
    ref: Model1
    baz: str


class Model3(BaseModel):
    name: str
    age: int
    ref2: Model2


app = FastAPI()


@app.get(
    "/simple_include",
    response_model=Model2,
    response_model_include={"baz": ..., "ref": {"foo"}},
)
def simple_include():

import jetbrains.buildServer.configs.kotlin.BuildType
import jetbrains.buildServer.configs.kotlin.buildSteps.script

fun BuildType.applyPerformanceTestSettings(os: Os = Os.LINUX, arch: Arch = Arch.AMD64, timeout: Int = 30) {
    applyDefaultSettings(os = os, arch = arch, timeout = timeout)
    artifactRules = """
        build/report-*-performance-tests.zip => .
        build/report-*-performance.zip => $hiddenArtifactDestination

                classesContainingMethod.add(current)
            } else {
                break
            }
            current = current.getSuperclass()
        }

        for (int i = classesContainingMethod.size() - 1; i > 0; --i) {
            current = classesContainingMethod.get(i)
            if (!isInternal(current)) {
                // there's another public super class which contains target method

    // Avoid expectEquals() here to delay reason manufacture until necessary.
    if (getList().size() != expectedList.size()) {
      fail("size mismatch: " + reportContext(expectedList));
    }
    for (int i = 0; i < expectedList.size(); i++) {
      E expected = expectedList.get(i);
      E actual = getList().get(i);
      if (expected != actual && (expected == null || !expected.equals(actual))) {

    assertEquals(toString, func.toString());
    assertEquals(value, func.hashBytes(bytes).padToLong());
  }

  private static void assertHash32(
      int expected, ImmutableSupplier<Checksum> supplier, String input) {
    byte[] bytes = HashTestUtils.ascii(input);
    String toString = "name";
    HashFunction func = new ChecksumHashFunction(supplier, 32, toString);