*   java .teamcity/scripts/FindCommits.java <target_branch_name>
 *
 * Commit range logic:
 * - Uses origin/<target_branch_name> as the target
 * - If HEAD is a merge commit and one parent equals the target SHA, the other parent is treated as PR head
 * - Otherwise HEAD itself is treated as PR head
 *
 * Output:
 * - Writes commit SHAs to stdout, one per line
 * - Diagnostic info to stderr
 */
public class FindCommits {

        public RequestDataContext get() {
            return method(Method.GET);
        }

        /**
         * Sets the HTTP method to HEAD.
         * @return The current RequestDataContext instance.
         */
        public RequestDataContext head() {
            return method(Method.HEAD);
        }

        /**
         * Sets the HTTP method to POST.
         * @return The current RequestDataContext instance.

                new String[] {"--help"},
                new ClassWorld("plexus.core", Thread.currentThread().getContextClassLoader()),
                null,
                out,
                err);

        String help = out.toString(StandardCharsets.UTF_8);
        assertEquals(0, exit, "mvnup --help should exit 0");
        assertTrue(
                help.contains("Default behavior: --model --plugins --infer"),

///

### JSON Schemas Feld `examples` { #json-schemas-examples-field }

Aber dann fügte JSON Schema ein [`examples`](https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5)-Feld zu einer neuen Version der Spezifikation hinzu.

Und dann basierte das neue OpenAPI 3.1.0 auf der neuesten Version (JSON Schema 2020-12), die dieses neue Feld `examples` enthielt.

# Development - Contributing

First, you might want to see the basic ways to [help FastAPI and get help](help-fastapi.md).

## Developing

If you already cloned the [fastapi repository](https://github.com/fastapi/fastapi) and you want to deep dive in the code, here are some guidelines to set up your environment.

### Install requirements

Create a virtual environment and install the required packages with [`uv`](https://github.com/astral-sh/uv):

chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package manager. Prerequisites ---------- - Helm cli with Kubernetes cluster configured. - PV provisioner support in the underlying infrastructure. (We recommend using https://github.com/minio/direct-csi) - Use Kubernetes version v1.19 and later for best experience. Configure MinIO Helm repo ---------- ```bash helm repo add minio https://charts.min.io/ ``` Installing the Chart ---------- Install...

	app.Flags = GlobalFlags
	app.HideHelpCommand = true // Hide `help, h` command, we already have `minio --help`.
	app.Commands = commands
	app.CustomAppHelpTemplate = minioHelpTemplate
	app.CommandNotFound = func(ctx *cli.Context, command string) {
		console.Printf("‘%s’ is not a minio sub-command. See ‘minio --help’.\n", command)
		closestCommands := findClosestCommands(command)
		if len(closestCommands) > 0 {

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

... dann ist das Feld `description` **nicht erforderlich**. Weil es den Defaultwert `None` hat.

### Eingabemodell in der Dokumentation { #input-model-in-docs }

Sie können überprüfen, dass das Feld `description` in der Dokumentation kein **rotes Sternchen** enthält, es ist nicht als erforderlich markiert:

<div class="screenshot">

Introduction This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package manager. ## Prerequisites - Helm cli with Kubernetes cluster configured. - PV provisioner support in the underlying infrastructure. (We recommend using <https://github.com/minio/direct-csi>) - Use Kubernetes version v1.19 and later for best experience. ## Configure MinIO Helm repo ```bash helm repo add minio https://charts.min.io/ ``` ### Installing the Chart Install this chart using:...

from fastapi import FastAPI
from fastapi.responses import HTMLResponse

app = FastAPI()


def generate_html_response():
    html_content = """
    <html>
        <head>
            <title>Some HTML in here</title>
        </head>
        <body>
            <h1>Look ma! HTML!</h1>
        </body>
    </html>
    """
    return HTMLResponse(content=html_content, status_code=200)