Gunicorn would also take care of managing **dead processes** and **restarting** new ones if needed to keep the number of workers. So that helps in part with the **restart** concept from the list above.

Nevertheless, you would probably also want to have something outside making sure to **restart Gunicorn** if necessary, and also to **run it on startup**, etc.

## Uvicorn with Workers

      {{- else }}
      discoveryAddress: istiod{{- if not (eq .Values.revision "") }}-{{ .Values.revision }}{{- end }}.{{.Release.Namespace}}.svc:15012
      {{- end }}
{{- end }}

{{/* We take the mesh config above, defined with individual values.yaml, and merge with .Values.meshConfig */}}
{{/* The intent here is that meshConfig.foo becomes the API, rather than re-inventing the API in values.yaml */}}

        return when (fir) {
            is FirAnnotationCall -> {
                if (unsubstitutedKtSignature.symbol !is KtConstructorSymbol) return null
                @Suppress("UNCHECKED_CAST") // safe because of the above check on targetKtSymbol
                KtAnnotationCall(
                    partiallyAppliedSymbol as KtPartiallyAppliedFunctionSymbol<KtConstructorSymbol>,

        assertFalse(map.containsKey("maven-test:t09-c"), "maven-test:t09-c is in the project");
    }

    /**
     * Setup exactly the same as the above test, except that the child project
     * now depends upon d, which has a transitive dependency on c.  Even though
     * we did list an exclusion on c, it was only from within the context of

]
```

These are **JavaScript** objects, not strings, so you can't pass them from Python code directly.

But Python has a specific way to declare lists with internal types, or "type parameters":

### Import typing's `List`

In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡

But in Python versions before 3.9 (3.6 and above), you first need to import `List` from standard Python's `typing` module:

```Python hl_lines="1"
{!> ../../../docs_src/body_nested_models/tutorial002.py!}

        "org/gradle/testing/**",
        "org/gradle/vcs/**",
        "org/gradle/work/**",
        "org/gradle/workers/**",
        "org/gradle/util/**", // contains Path that clashes with `org.gradle.api.model.Path` imported above. This line should not appear before "org/gradle/api/**"
    )

    val excludes = listOf("**/internal/**")

### Technical Details: `root_path`

When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`.

That way, the sub-application will know to use that path prefix for the docs UI.

     2. Build a Gradle distribution with this hash as a version + fixed timestamp -> dogfood-first
     3. Build a Gradle distribution using dogfood-first with this hash as a version + fixed timestamp different from the one above -> dogfood-second
     4. Use dogfood-second to run a Gradle build which runs tests.

     */
    val dogfoodTimestamp1 = "19800101010101+0000"
    val dogfoodTimestamp2 = "19800202020202+0000"

      {{- else }}
      discoveryAddress: istiod{{- if not (eq .Values.revision "") }}-{{ .Values.revision }}{{- end }}.{{.Release.Namespace}}.svc:15012
      {{- end }}
{{- end }}

{{/* We take the mesh config above, defined with individual values.yaml, and merge with .Values.meshConfig */}}
{{/* The intent here is that meshConfig.foo becomes the API, rather than re-inventing the API in values.yaml */}}