* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> — для управления настройками.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> — дополнительные типы для использования с Pydantic.

Дополнительные опциональные зависимости FastAPI:

   */
  @CanIgnoreReturnValue
  @Deprecated
  @Override
  @DoNotCall("Always throws UnsupportedOperationException")
  // DoNotCall wants this to be final, but we want to override it to return more specific types.
  // Inheritance is closed, and all subtypes are @DoNotCall, so this is safe to suppress.
  @SuppressWarnings("DoNotCall")
  public ImmutableCollection<V> removeAll(@Nullable Object key) {

 * {@code create(Iterable<? extends E>)}, returning a multiset containing the given initial
 * elements. This is simply a refinement of {@code Collection}'s constructor recommendations.
 *
 * <p>As with other collection types, the modification operations are optional, and should throw
 * {@link UnsupportedOperationException} when they are not implemented. Most implementations should

/// tip | Tipp

Um Umgebungsvariablen zu verstehen, können Sie [Umgebungsvariablen](../environment-variables.md){.internal-link target=_blank} lesen.

///

## Typen und Validierung { #types-and-validation }

	standardExcludeCompressExtensions = []string{".gz", ".bz2", ".rar", ".zip", ".7z", ".xz", ".mp4", ".mkv", ".mov", ".jpg", ".png", ".gif"}

	// Some standard content-types which we strictly dis-allow for compression.
	standardExcludeCompressContentTypes = []string{"video/*", "audio/*", "application/zip", "application/x-gzip", "application/x-zip-compressed", " application/x-compress", "application/x-spoon"}

//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.
//   - The number of `input_tensors` should be the same as the number of items
//     in `input_shapes`.
//
// The results are returned in `output_shapes` and

from fastapi.openapi.constants import METHODS_WITH_BODY, REF_PREFIX
from fastapi.openapi.models import OpenAPI
from fastapi.params import Body, ParamTypes
from fastapi.responses import Response
from fastapi.types import ModelNameMap
from fastapi.utils import (
    deep_dict_update,
    generate_operation_id_for_path,
    is_body_allowed_for_status_code,
)
from pydantic import BaseModel

		Code:           "InvalidArgument",
		Description:    "An object key name filtering rule defined with overlapping prefixes, overlapping suffixes, or overlapping combinations of prefixes and suffixes for the same event types.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrFilterNameInvalid: {
		Code:           "InvalidArgument",
		Description:    "filter rule name must be either prefix or suffix",

#### "Schéma" de données

Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON.

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema

* `max_length`
* `regex`

Parmi ces exemples, vous avez pu voir comment déclarer des validateurs pour les chaînes de caractères.