public void setCrawlerRunning(final boolean crawlerRunning) {
        this.crawlerRunning = crawlerRunning;
    }

    /**
     * Represents a rule for controlling crawler intervals.
     * Each rule defines a time range, applicable days, and delay amount.
     */
    public static class IntervalRule {
        /** Starting hour of the interval */
        protected int fromHours;

        }

        return maximals.getFirst();
    }

    /**
     * Determines which method signature (represented by a class array) is more
     * specific. This defines a partial ordering on the method signatures.
     *
     * @param c1 first signature to compare
     * @param c2 second signature to compare
     * @return MORE_SPECIFIC if c1 is more specific than c2, LESS_SPECIFIC if

    * Porque las estructuras de datos de pydantic son solo instances de clases que defines; autocompletado, linting, mypy y tu intuición deberían funcionar correctamente con tus datos validados.
* Valida **estructuras complejas**:
    * Uso de modelos jerárquicos de Pydantic, `List` y `Dict` de `typing` de Python, etc.

Obwohl Sie `Depends` in den Parametern Ihrer Funktion genauso verwenden wie `Body`, `Query`, usw., funktioniert `Depends` etwas anders.

Sie übergeben `Depends` nur einen einzigen Parameter.

Dieser Parameter muss so etwas wie eine Funktion sein.

Sie **rufen diese nicht direkt auf** (fügen Sie am Ende keine Klammern hinzu), sondern übergeben sie einfach als Parameter an `Depends()`.

Dann **weisen wir diese beiden Werte** des Tupels den Variablen `id` und `name` zu.

Wenn der Benutzer also keine Artikel-ID bereitgestellt hat, erhält er trotzdem einen zufälligen Vorschlag.

                    .get());
            options.addOption(Option.builder()
                    .longOpt(COLOR)
                    .hasArg()
                    .optionalArg(true)
                    .desc("Defines the color mode of the output. Supported are 'auto', 'always', 'never'.")
                    .get());
            options.addOption(Option.builder(OFFLINE)
                    .longOpt("offline")

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema { #openapi-and-json-schema }

OpenAPI defines an API schema for your API. And that schema includes definitions (or "schemas") of the data sent and received by your API using **JSON Schema**, the standard for JSON data schemas.

In many cases, OAuth2 with scopes can be an overkill.

But if you know you need it, or you are curious, keep reading.

///

## OAuth2 scopes and OpenAPI { #oauth2-scopes-and-openapi }

The OAuth2 specification defines "scopes" as a list of strings separated by spaces.

The content of each of these strings can have any format, but should not contain spaces.

These scopes represent "permissions".

package jstream

import (
	"bytes"
	"encoding/json"
	"io"
	"strconv"
	"sync/atomic"
	"unicode/utf16"
)

// ValueType - defines the type of each JSON value
type ValueType int

// Different types of JSON value
const (
	Unknown ValueType = iota
	Null
	String
	Number
	Boolean
	Array
	Object
)

// MetaValue wraps a decoded interface value with the document

    checkState(boxedBoolean.booleanValue(), "", s);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester
  public void testNullPointers() {
    /*
     * Don't bother testing: Preconditions defines a bunch of methods that accept a template (or
     * even entire message) that simultaneously:
     *
     * - _shouldn't_ be null, so we don't annotate it with @Nullable
     *