)
    assertThat(certificate.getSubjectX500Principal().name)
      .isEqualTo("CN=cash.app,OU=engineering")
  }

  @Test
  fun decodeRsa512() {
    // The certificate + private key below was generated with OpenSSL. Never generate certificates
    // with MD5 or 512-bit RSA; that's insecure!
    //
    // openssl req \
    //   -x509 \
    //   -md5 \
    //   -nodes \
    //   -days 1 \
    //   -newkey rsa:512 \

		return true
	case reflect.Float32, reflect.Float64:
		return true
	default:
		return false
	}
}

// ExplainSQL generate SQL string with given parameters, the generated SQL is expected to be used in logger, execute it might introduce a SQL injection vulnerability
func ExplainSQL(sql string, numericPlaceholder *regexp.Regexp, escaper string, avars ...interface{}) string {
	var (

  private Tables() {}

  /**
   * Returns a {@link Collector} that accumulates elements into a {@code Table} created using the
   * specified supplier, whose cells are generated by applying the provided mapping functions to the
   * input elements. Cells are inserted into the generated {@code Table} in encounter order.
   *
   * <p>If multiple input elements map to the same row and column, an {@code IllegalStateException}

                <version>${teamcity.dsl.version}</version>
                <configuration>
                    <format>kotlin</format>
                    <dstDir>target/generated-configs</dstDir>
                    <contextParameters>
                        <branch>${dslContextParameter.branch}</branch>
                    </contextParameters>
                </configuration>
            </plugin>

	globalEventNotifier.InitBucketTargets(ctx, objLayer)

	return testServer
}

// testServerCertPEM and testServerKeyPEM are generated by
//  https://golang.org/src/crypto/tls/generate_cert.go
//    $ go run generate_cert.go -ca --host 127.0.0.1
// The generated certificate contains IP SAN, that way we don't need
// to enable InsecureSkipVerify in TLS config

     * Uses caching to improve performance for repeated requests.
     *
     * @param searchRequestType the type of search request
     * @param seed the seed value for popular word generation
     * @param tags array of tags to filter results
     * @param roles array of roles to filter results
     * @param fields array of fields to search in
     * @param excludes array of words to exclude from results

# inside a metadata file to the one we want (e.g cp38-cp38-win_amd) and then
# re-pack it to generate it as a platform specific wheel with this new wheel
#tag.
python3 -m wheel unpack "${pure_python_whl}"

# Remove the pure python wheel.
rm -rf "${pure_python_whl}"

# Generate a PyPI upload compatible wheel for each tag in
# $TFCI_INSTALLER_WHL_TAGS.
for whl_tag in $TFCI_INSTALLER_WHL_TAGS; do

          force-avd-creation: false
          emulator-options: -no-window -gpu swiftshader_indirect -noaudio -no-boot-anim -camera-back none
          disable-animations: false
          script: echo "Generated AVD snapshot for caching."

      - name: Run Tests
        uses: reactivecircus/android-emulator-runner@v2
        with:
          api-level: ${{ matrix.api-level }}

### Déployer une application FastAPI

La façon la plus simple de tout mettre en place, serait d'utiliser les [**Générateurs de projet FastAPI**](../project-generation.md){.internal-link target=_blank}.

Le génerateur de projet adéquat est conçu pour être intégré à ce cluster Docker Swarm avec Traefik et HTTPS décrit ci-dessus.

Vous pouvez générer un projet en 2 min environ.

In this case, you can disable the response model generation by setting `response_model=None`:

{* ../../docs_src/response_model/tutorial003_05_py310.py hl[7] *}

This will make FastAPI skip the response model generation and that way you can have any return type annotations you need without it affecting your FastAPI application. 🤓