## Pydantic `Settings` { #pydantic-settings }

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Install `pydantic-settings` { #install-pydantic-settings }

        return new DefaultPhase(name, Collections.emptyList(), asList(link1, link2), asList(phases));
    }

    static Lifecycle.Phase phase(
            String name, Lifecycle.Link link1, Lifecycle.Link link2, Lifecycle.Link link3, Lifecycle.Phase... phases) {
        return new DefaultPhase(name, Collections.emptyList(), asList(link1, link2, link3), asList(phases));
    }

    @SuppressWarnings("EqualsIncompatibleType")
    boolean listEqualsArray = Booleans.asList(ARRAY_FALSE).equals(ARRAY_FALSE);
    assertThat(listEqualsArray).isFalse();
    assertThat(Booleans.asList(ARRAY_FALSE).equals(null)).isFalse();
    assertThat(Booleans.asList(ARRAY_FALSE).equals(Booleans.asList(ARRAY_FALSE_TRUE))).isFalse();

### 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.

Aber standardmäßig **„funktioniert einfach alles“**.

### Validierung { #validation }

* Validierung für die meisten (oder alle?) Python-**Datentypen**, hierzu gehören:
    * JSON Objekte (`dict`).

    List<String> b = asList("c", "d");
    ImmutableSortedMultiset<String> multiset =
        ImmutableSortedMultiset.<String>naturalOrder().addAll(a).addAll(b).build();
    assertEquals(HashMultiset.create(asList("a", "b", "c", "d")), multiset);
  }

  public void testBuilderAddAllMultiset() {
    Multiset<String> a = HashMultiset.create(asList("a", "b", "b"));

        String word = "test word";
        float boost = 2.5f;
        List<String> readings = Arrays.asList("reading1", "reading2");
        List<String> fields = Arrays.asList("field1", "field2");
        List<String> tags = Arrays.asList("tag1", "tag2");
        List<String> roles = Arrays.asList("role1", "role2");

        elevateWord = new ElevateWord(word, boost, readings, fields, tags, roles);

  // Test all creation paths very lazily: by assuming asList() works

  public void testOf0() {
    assertThat(ImmutableDoubleArray.of().asList()).isEmpty();
  }

  public void testOf1() {
    assertThat(ImmutableDoubleArray.of(0).asList()).containsExactly(0.0);
  }

  public void testOf2() {
    assertThat(ImmutableDoubleArray.of(0, 1).asList()).containsExactly(0.0, 1.0).inOrder();
  }

        List<RemoteRepository> repositories1 = Arrays.asList(repo1, repo2);
        List<RemoteRepository> repositories2 = Arrays.asList(repo1, repo2);

        ArtifactResolverRequest.ArtifactResolverRequestBuilder builder = ArtifactResolverRequest.builder();

        ArtifactResolverRequest request1 = builder.session(session)
                .coordinates(Arrays.asList(coords1, coords2))
                .repositories(repositories1)

    assertEquals(asList("a", "b", "a", "c"), list);
  }

  public void testBuilderAddAll_iterable() {
    List<String> a = asList("a", "b");
    List<String> b = asList("c", "d");
    ImmutableList<String> list = new ImmutableList.Builder<String>().addAll(a).addAll(b).build();
    assertEquals(asList("a", "b", "c", "d"), list);
    b.set(0, "f");
    assertEquals(asList("a", "b", "c", "d"), list);
  }

            (K k, V v) -> {
              int index = keys().asList().indexOf(k);
              return values().asList().get(index + 1);
            });
    List<Entry<K, V>> expectedEntries = new ArrayList<>();
    for (Entry<K, V> entry : getSampleEntries()) {
      int index = keys().asList().indexOf(entry.getKey());
      expectedEntries.add(Helpers.mapEntry(entry.getKey(), values().asList().get(index + 1)));
    }