EnvCompressMimeTypes       = "MINIO_COMPRESSION_MIME_TYPES"

	// Include-list for compression.
	DefaultExtensions = ".txt,.log,.csv,.json,.tar,.xml,.bin"
	DefaultMimeTypes  = "text/*,application/json,application/xml,binary/octet-stream"
)

// DefaultKVS - default KV config for compression settings
var (
	DefaultKVS = config.KVS{
		config.KV{
			Key:   config.Enable,

    components {
        withModule<CodeNarcRule>("org.codenarc:CodeNarc") {
            params(groovyVersion)
        }
    }
}

fun configFile(fileName: String) = resources.text.fromFile(rules.asFileTree.filter { it.name == fileName })

checkstyle {
    toolVersion = "8.12"
    config = configFile("checkstyle.xml")
    val projectDirectory = layout.projectDirectory

Para rodar seu app FastAPI em desenvolvimento, você pode usar o comando `fastapi dev`:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

  dependencies {
    checkstyleConfig(rootProject.libs.checkStyle) {
      isTransitive = false
    }
  }

  configure<CheckstyleExtension> {
    config = resources.text.fromArchiveEntry(checkstyleConfig, "google_checks.xml")
    toolVersion = rootProject.libs.versions.checkStyle.get()
    sourceSets = listOf(project.sourceSets["main"])
  }

sed;display:inline-block;font-style:normal;font-variant:normal;text-rendering:auto;line-height:1}.fa-lg{font-size:1.33333em;line-height:.75em;vertical-align:-.0667em}.fa-xs{font-size:.75em}.fa-sm{font-size:.875em}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-le...

     * counts are converted to strings as by {@code String.valueOf}.
     */
    @Override
    public String toString() {
      String text = String.valueOf(getElement());
      int n = getCount();
      return (n == 1) ? text : (text + " x " + n);
    }
  }

  /** An implementation of {@link Multiset#equals}. */
  static boolean equalsImpl(Multiset<?> multiset, @CheckForNull Object object) {

     * counts are converted to strings as by {@code String.valueOf}.
     */
    @Override
    public String toString() {
      String text = String.valueOf(getElement());
      int n = getCount();
      return (n == 1) ? text : (text + " x " + n);
    }
  }

  /** An implementation of {@link Multiset#equals}. */
  static boolean equalsImpl(Multiset<?> multiset, @CheckForNull Object object) {

  tensorflow::GraphDef gdef;
  if (!tensorflow::protobuf::TextFormat::ParseFromString(text_proto, &gdef)) {
    status->status = tensorflow::errors::Internal(
        "Invalid text proto for GraphDef: ", text_proto);
    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(

## Utilize o comando `fastapi run`

Em resumo, utilize o comando `fastapi run` para inicializar sua aplicação FastAPI:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

                </mxCell>
                <mxCell id="3" value="&lt;font face=&quot;Roboto&quot;&gt;&lt;span style=&quot;font-size: 24px&quot;&gt;Server(s)&lt;/span&gt;&lt;/font&gt;" style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;strokeWidth=3;fontFamily=Roboto Mono, mono;FType=g;" parent="1" vertex="1">