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

К счастью, Pydantic предоставляет отличную утилиту для работы с этими настройками, поступающими из переменных окружения, — <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: управление настройками</a>.

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

					return ObjectLocked{}
				}

				if !ret.RetainUntilDate.Before(t) {
					return ObjectLocked{}
				}
				return nil
			}
			// https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lock-overview.html#object-lock-retention-modes
			// If you try to delete objects protected by governance mode and have s3:BypassGovernanceRetention, the operation will succeed.

oder

```
http://127.0.0.1:8000/items/foo?short=on
```

oder

```
http://127.0.0.1:8000/items/foo?short=yes
```

gehen, oder zu irgendeiner anderen Variante der Groß-/Kleinschreibung (Alles groß, Anfangsbuchstabe groß, usw.), dann wird Ihre Funktion den Parameter `short` mit dem `bool`-Wert `True` sehen, ansonsten mit dem Wert `False`.

## Mehrere Pfad- und Query-Parameter { #multiple-path-and-query-parameters }

Auf diese Weise konnte ich die besten Möglichkeiten finden, die Codeverdoppelung so weit wie möglich zu reduzieren, überall Autovervollständigung, Typ- und Fehlerprüfungen, usw. zu gewährleisten.

Alles auf eine Weise, die allen Entwicklern das beste Entwicklungserlebnis bot.

## Anforderungen { #requirements }

        required: false
        default: 'false'

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  job:
    runs-on: ubuntu-latest
    permissions:
      discussions: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"
TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/versions/latest/"
TFCI_ARTIFACT_STAGING_GCS_ENABLE=1
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/versions/${_LOUHI_EXECUTION_ID:-$(git rev-parse HEAD)}/"

  }

  /**
   * A sensible, albeit inefficient, definition of {@link #size} in terms of {@link #entrySet}. If
   * you override {@link #entrySet}, you may wish to override {@link #size} to forward to this
   * implementation.
   *
   * @since 7.0
   */
  protected int standardSize() {
    return Multisets.linearTimeSizeImpl(this);
  }

  /**

   * ordering.
   *
   * @throws NullPointerException if any element is null
   */
  public static <E extends Comparable<? super E>> ImmutableSortedMultiset<E> of(E e1, E e2) {
    return copyOf(Ordering.natural(), Arrays.asList(e1, e2));
  }

  /**
   * Returns an immutable sorted multiset containing the given elements sorted by their natural
   * ordering.
   *
   * @throws NullPointerException if any element is null
   */

import static com.google.common.collect.testing.features.CollectionSize.ZERO;
import static com.google.common.collect.testing.google.ReflectionFreeAssertThrows.assertThrows;
import static java.util.Arrays.asList;
import static java.util.Collections.nCopies;
import static java.util.Collections.singletonList;
import static java.util.Collections.sort;

import com.google.common.annotations.GwtCompatible;

    assertThat(dataset).asList().isEqualTo(SIXTEEN_SQUARES_LONGS);
  }

  public void testScale_index_compute_intVarargs() {
    int[] dataset = Ints.toArray(SIXTEEN_SQUARES_INTEGERS);
    assertThat(Quantiles.scale(10).index(1).compute(dataset))
        .isWithin(ALLOWED_ERROR)
        .of(SIXTEEN_SQUARES_DECILE_1);
    assertThat(dataset).asList().isEqualTo(SIXTEEN_SQUARES_INTEGERS);
  }