for _, data := range jwtTestData {
		data := data
		t.Run(data.name, func(t *testing.T) {
			// Parse the token
			var err error

			// Figure out correct claims type
			switch claims := data.claims.(type) {
			case *MapClaims:
				if data.tokenString == "" {
					data.tokenString = mapClaimsToken(claims)
				}
				err = ParseWithClaims(data.tokenString, &MapClaims{}, data.keyfunc)

import static java.lang.annotation.ElementType.CONSTRUCTOR;
import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.TYPE;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

      return clazz.getDeclaredField(enumValue.name());
    } catch (NoSuchFieldException impossible) {
      throw new AssertionError(impossible);
    }
  }

  /**
   * Returns an optional enum constant for the given type, using {@link Enum#valueOf}. If the
   * constant does not exist, {@link Optional#absent} is returned. A common use case is for parsing
   * user input or falling back to a default enum constant. For example, {@code

// Represents either a MlirTensor or a GraphTensor.
// This base class does not expose any public methods other than to distinguish
// which subclass it actually is. The user is responsible to use the right
// type of AbstractTensor in their context (do not pass an MlirTensor to a
// GraphContext and vice-versa).
class TracingTensorHandle : public AbstractTensorHandle {
 protected:

        buildScanTags = listOf("Check"),
        subprojects = JsonBasedGradleSubprojectProvider(File("../.teamcity/subprojects.json"))
    )

    @Test
    fun `create correct PerformanceTest build type for Linux`() {
        val performanceTest = PerformanceTest(
            buildModel,
            Stage(
                StageName.PULL_REQUEST_FEEDBACK,

                    "security": [{"APIKeyCookie": []}],
                }
            }
        },
        "components": {
            "securitySchemes": {
                "APIKeyCookie": {"type": "apiKey", "name": "key", "in": "cookie"}
            }
        },

                    "security": [{"APIKeyQuery": []}],
                }
            }
        },
        "components": {
            "securitySchemes": {
                "APIKeyQuery": {"type": "apiKey", "name": "key", "in": "query"}
            }
        },

var (
	// MaxTimeout is the max timeout for drive
	MaxTimeout = "max_timeout"

	// HelpDrive is help for drive
	HelpDrive = config.HelpKVS{
		config.HelpKV{
			Key:         MaxTimeout,
			Type:        "string",
			Description: "set per call max_timeout for the drive, defaults to 30 seconds",
			Optional:    true,
		},
	}

from fastapi import FastAPI
from fastapi.params import Param
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/items/")
def read_items(q: Optional[str] = Param(default=None)):  # type: ignore
    return {"q": q}


client = TestClient(app)


def test_default_param_query_none():
    response = client.get("/items/")
    assert response.status_code == 200, response.text

# Deployments Concepts

When deploying a **FastAPI** application, or actually, any type of web API, there are several concepts that you probably care about, and using them you can find the **most appropriate** way to **deploy your application**.

Some of the important concepts are:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting