"openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/predict": {
                    "get": {
                        "summary": "Predict",
                        "operationId": "predict_predict_get",
                        "parameters": [
                            {
                                "required": True,

    - 🔍 [Pydantic](https://docs.pydantic.dev), used by FastAPI, for the data validation and settings management.
    - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database.
- 🚀 [React](https://react.dev) for the frontend.
    - 💃 Using TypeScript, hooks, Vite, and other parts of a modern frontend stack.
    - 🎨 [Chakra UI](https://chakra-ui.com) for the frontend components.

 *
 * <h2>Avoid EventBus</h2>
 *
 * <p><b>We recommend against using EventBus.</b> It was designed many years ago, and newer
 * libraries offer better ways to decouple components and react to events.
 *
 * <p>To decouple components, we recommend a dependency-injection framework. For Android code, most
 * apps use <a href="https://dagger.dev">Dagger</a>. For server code, common options include <a

#define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \
  do {                                                            \
    ::tensorflow::Status _s(__VA_ARGS__);                         \
    if (!TF_PREDICT_TRUE(_s.ok())) {                              \
      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \

	case syscall.O_WRONLY:
		access = syscall.GENERIC_WRITE
	case syscall.O_RDWR:
		fallthrough
	case syscall.O_RDWR | syscall.O_CREAT:
		fallthrough
	case syscall.O_WRONLY | syscall.O_CREAT:
		access = syscall.GENERIC_READ | syscall.GENERIC_WRITE
	case syscall.O_WRONLY | syscall.O_CREAT | syscall.O_APPEND:
		access = syscall.FILE_APPEND_DATA
	default:
		return nil, fmt.Errorf("Unsupported flag (%d)", flag)
	}

                ttype = TT_EOF;
                return true;
            }
        }
        return false;
    }

    private boolean processWhitespace() {
        peekct = peekc < 256 ? ctype[peekc] : CT_ALPHA;
        while ((peekct & CT_WHITESPACE) != 0) {
            if (peekc == '\r') {
                peekc = read();
                if (peekc == '\n') {
                    peekc = read();
                }

    protected static final String SPNEGO_ALLOW_BASIC = "spnego.allow.basic";
    protected static final String SPNEGO_PREAUTH_PASSWORD = "spnego.preauth.password";
    protected static final String SPNEGO_PREAUTH_USERNAME = "spnego.preauth.username";
    protected static final String SPNEGO_LOGIN_SERVER_MODULE = "spnego.login.server.module";

    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)

```

### Profiles

Istio Helm charts have a concept of a `profile`, which is a bundled collection of value presets.
These can be set with `--set profile=<profile>`.
For example, the `demo` profile offers a preset configuration to try out Istio in a test environment, with additional features enabled and lowered resource requirements.

For consistency, the same profiles are used across each chart, even if they do not impact a given chart.

            .replaceAll('###', '.*?')
    }
}

private String writeFilterPreset(Project project) {
    def preset = project.hasProperty('bin.cmp.report.severity.filter') ? project.getProperty('bin.cmp.report.severity.filter') : 'All levels'
    return """<input id="filter-preset" type="hidden" value="$preset" />"""