import inspect
import sys
from dataclasses import dataclass, field
from functools import cached_property, partial
from typing import Any, Callable, Optional, Union

from fastapi._compat import ModelField
from fastapi.security.base import SecurityBase
from fastapi.types import DependencyCacheKey
from typing_extensions import Literal

if sys.version_info >= (3, 13):  # pragma: no cover
    from inspect import iscoroutinefunction

            // Create a large number of POM documents for performance testing
            Map<Path, Document> largePomMap = new HashMap<>();

            for (int i = 0; i < 100; i++) {
                Path pomPath = Paths.get("module" + i + "/pom.xml");
                String pomContent = PomBuilder.create()
                        .groupId("com.example")
                        .artifactId("module" + i)

    assertThat(Enums.getIfPresent(TestEnum.class, "poodlE")).isAbsent();
  }

  public void testGetIfPresent_whenNoMatchingConstant() {
    assertThat(Enums.getIfPresent(TestEnum.class, "WOMBAT")).isAbsent();
  }


  @J2ktIncompatible
  @AndroidIncompatible // depends on details of GC and classloading
  public void testGetIfPresent_doesNotPreventClassUnloading() throws Exception {

    public Model getModel() {
        return project.getModel().getDelegate();
    }

    @Nonnull
    @Override
    public Path getPomPath() {
        return Objects.requireNonNull(project.getFile(), "pomPath cannot be null")
                .toPath();
    }

    @Nonnull
    @Override
    public Path getBasedir() {
        return Objects.requireNonNull(project.getBasedir(), "basedir cannot be null")

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times

      // we could limit the buffer to ensure process() does not read more than
      // chunkSize number of bytes, but we trust the implementations
      process(buffer);
    }
    buffer.compact(); // preserve any remaining data that do not make a full chunk
  }

from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from pydantic_core import PydanticUndefinedType

from ._compat import (
    Url,
    is_pydantic_v1_model_instance,
)


# Taken from Pydantic v1 as is
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
    return o.isoformat()

    }

    private PomTestWrapper buildPom(String pomPath, String... profileIds) throws Exception {
        return buildPom(pomPath, null, null, profileIds);
    }

    private PomTestWrapper buildPom(
            String pomPath, Properties systemProperties, Properties userProperties, String... profileIds)
            throws Exception {
        return buildPom(pomPath, false, systemProperties, userProperties, profileIds);
    }

Nie wieder falsche Schlüsselnamen tippen, Hin und Herhüpfen zwischen der Dokumentation, Hoch- und Runterscrollen, um herauszufinden, ob es `username` oder `user_name` war.

### Kompakt { #short }

Es gibt für alles sensible **Defaultwerte**, mit optionaler Konfiguration überall. Alle Parameter können feinjustiert werden, damit sie tun, was Sie benötigen, und die API definieren, die Sie brauchen.

    * Notes on LB name:
    * to ensure backword and forward compat:
    * - SingleStack -v4 (pre v1.16) => BackendPool name == clusterName
    * - SingleStack -v6 => BackendPool name == clusterName (all cluster bootstrap uses this name)
    * DualStack: