)


def get_flat_dependant(
    dependant: Dependant,
    *,
    skip_repeats: bool = False,
    visited: Optional[list[DependencyCacheKey]] = None,
    parent_oauth_scopes: Optional[list[str]] = None,
) -> Dependant:
    if visited is None:
        visited = []
    visited.append(dependant.cache_key)
    use_parent_oauth_scopes = (parent_oauth_scopes or []) + (
        dependant.oauth_scopes or []
    )

                It will be added to the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        deprecated: Annotated[
            Optional[bool],
            Doc(
                """
                Mark this *path operation* as deprecated.

                It will be added to the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),

                It will be added to the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        deprecated: Annotated[
            Optional[bool],
            Doc(
                """
                Mark this *path operation* as deprecated.

                It will be added to the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();

            """
        ),
    ] = None,
    include_in_schema: Annotated[
        bool,
        Doc(
            """
            To include (or not) this parameter field in the generated OpenAPI.
            You probably don't need it, but it's available.

            This affects the generated OpenAPI (e.g. visible at `/docs`).
            """
        ),

# Incluyendo WSGI - Flask, Django, otros { #including-wsgi-flask-django-others }

Puedes montar aplicaciones WSGI como viste con [Sub Aplicaciones - Mounts](sub-applications.md){.internal-link target=_blank}, [Detrás de un Proxy](behind-a-proxy.md){.internal-link target=_blank}.

Para eso, puedes usar `WSGIMiddleware` y usarlo para envolver tu aplicación WSGI, por ejemplo, Flask, Django, etc.

## Usando `WSGIMiddleware` { #using-wsgimiddleware }

        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        description: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme description.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),

        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);