We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

For that, we update the Pydantic model `TokenData` with a new property `scopes`.

import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.util.Arrays;
import java.util.Comparator;
import javax.lang.model.element.Modifier;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/**
 * Tester of subtyping relationships between two types.
 *

Apache Maven is a software project management and comprehension tool. Based on
the concept of a project object model (POM), Maven can manage a project's
build, reporting and documentation from a central piece of information.

If you think you have found a bug, please file an issue in the [Maven Issue Tracker](https://github.com/apache/maven/issues).

import java.util.stream.Stream;

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Immutable;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Plugin;

/**
 * A Maven lifecycle is a sequence of predefined phases that govern the build process
 * of a Maven project. Each phase represents a specific step, such as compiling the

		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

	return strings.Join(userAgentParts, "")
}

func downloadReleaseURL(u *url.URL, timeout time.Duration, mode string) (content string, err error) {

pkg image, method (*NYCbCrA) At(int, int) color.Color
pkg image, method (*NYCbCrA) Bounds() Rectangle
pkg image, method (*NYCbCrA) COffset(int, int) int
pkg image, method (*NYCbCrA) ColorModel() color.Model
pkg image, method (*NYCbCrA) NYCbCrAAt(int, int) color.NYCbCrA
pkg image, method (*NYCbCrA) Opaque() bool
pkg image, method (*NYCbCrA) SubImage(Rectangle) Image
pkg image, method (*NYCbCrA) YCbCrAt(int, int) color.YCbCr

  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for Eclipse",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1056
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1087
  } ]

	}

	reflectResults := rel.FieldSchema.MakeSlice().Elem()
	column, values := schema.ToQueryValues(clause.CurrentTable, relForeignKeys, foreignValues)

	if len(values) != 0 {
		tx = tx.Model(reflectResults.Addr().Interface()).Where(clause.IN{Column: column, Values: values})

		for _, cond := range conds {
			if fc, ok := cond.(func(*gorm.DB) *gorm.DB); ok {
				tx = fc(tx)
			} else {

/// warning | Внимание

Это технические детали, которые можно пропустить, если они не важны для вас сейчас.

///

`RequestValidationError` является подклассом Pydantic <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.

### Arbeitsspeicher pro Prozess

Wenn das Programm nun Dinge in den Arbeitsspeicher lädt, zum Beispiel ein Modell für maschinelles Lernen in einer Variablen oder den Inhalt einer großen Datei in einer Variablen, verbraucht das alles **einen Teil des Arbeitsspeichers (RAM – Random Access Memory)** des Servers.