* If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still...

//
// This object maps the name of a TensorFlow operation to a description of the
// API to generate for it, as defined by the ApiDef protocol buffer (
// https://www.tensorflow.org/code/tensorflow/core/framework/api_def.proto)
//
// The ApiDef messages are typically used to generate convenience wrapper
// functions for TensorFlow operations in various language bindings.
typedef struct TF_ApiDefMap TF_ApiDefMap;

    NavigableSet<E> empty = navigableSet.subSet(e0(), false, e0(), false);
    assertEquals(new TreeSet<E>(), empty);
  }

  /*
   * TODO(cpovirk): more testing of subSet/headSet/tailSet/descendingSet? and/or generate derived
   * suites?
   */

  /**
   * Returns the {@link Method} instances for the test methods in this class that create a set with

fi

# Run all "tfrun" commands under Docker. See setup_docker.sh for details
if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then
  source ./ci/official/utilities/setup_docker.sh
fi

# Generate an overview page describing the build
if [[ "$TFCI_INDEX_HTML_ENABLE" == 1 ]]; then
  ./ci/official/utilities/generate_index_html.sh "$TFCI_OUTPUT_DIR/index.html"
fi

	State(string) SecretItemBuilder
	TrustDomain(string) SecretItemBuilder
	Build() (SecretItem, error)
}

// secretItemBuilder implements SecretItemBuilder, and acts as an intermediate before SecretItem generation
type secretItemBuilder struct {
	name        string
	data        string
	source      string
	dest        string
	state       string
	trustDomain string
	SecretMeta
}

    - key: {{ $publicCrt }}
      path: public.crt
    {{- end }}
{{- end }}
{{- end -}}

{{/*
Returns the available value for certain key in an existing secret (if it exists),
otherwise it generates a random value.
*/}}
{{- define "minio.getValueFromSecret" }}
  {{- $len := (default 16 .Length) | int -}}
  {{- $obj := (lookup "v1" "Secret" .Namespace .Name).data -}}
  {{- if $obj }}

including but not limited to: User Manual, DSL Reference and Javadoc.
This information is used to generate documentation for each Gradle version
on [docs.gradle.org](https://docs.gradle.org/).
The documentation is mostly implemented in Asciidoc
though we use GitHub-flavored Markdown for internal documentation too.

You can generate docs by running `./gradlew :docs:docs`.

)

// writeSTSErrorResponse writes error headers
func writeSTSErrorResponse(ctx context.Context, w http.ResponseWriter, errCode STSErrorCode, err error) {
	stsErr := stsErrCodes.ToSTSErr(errCode)

	// Generate error response.
	stsErrorResponse := STSErrorResponse{}
	stsErrorResponse.Error.Code = stsErr.Code
	stsErrorResponse.RequestID = w.Header().Get(xhttp.AmzRequestID)
	stsErrorResponse.Error.Message = stsErr.Description

          root = Optional.of(new BinaryNode(rng.nextInt(), Optional.<BinaryNode>absent(), root));
        }
        return root;
      }
    },
    RANDOM {
      /**
       * Generates a tree with topology selected uniformly at random from the topologies of binary
       * trees of the specified size.
       */
      @Override
      Optional<BinaryNode> createTree(int size, Random rng) {

# Separate OpenAPI Schemas for Input and Output or Not

When using **Pydantic v2**, the generated OpenAPI is a bit more exact and **correct** than before. 😎

In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**.

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output