String ciEnv = System.getenv(GITHUB_ACTIONS);
        if ("true".equals(ciEnv)) {
            return Optional.of(new CIInfo() {
                @Override
                public String name() {
                    return NAME;
                }

                @Override
                public boolean isVerbose() {
                    return "1".equals(System.getenv(RUNNER_DEBUG));
                }

        String ciEnv = System.getenv(TRAVIS);
        if ("true".equals(ciEnv)) {
            return Optional.of(new CIInfo() {
                @Override
                public String name() {
                    return NAME;
                }

                @Override
                public boolean isVerbose() {
                    return "true".equals(System.getenv(TRAVIS_DEBUG_MODE));
                }

# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (

Mais avant ça, gérer du code asynchrone était bien plus complexe et difficile.

Dans les versions précédentes de Python, vous auriez utilisé des *threads* ou <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>.  Mais le code aurait été bien plus difficile à comprendre, débugger, et concevoir.

	"context"
	"fmt"
	"log"
	"net/http"
	"os"

	cr "github.com/minio/minio-go/v7/pkg/credentials"
	cmd "github.com/minio/minio/cmd"
)

func main() {
	ctx := context.Background()

	endpoint := os.Getenv("MINIO_ENDPOINT")
	if endpoint == "" {
		log.Fatalf("Please specify a MinIO server endpoint environment variable like:\n\n\texport MINIO_ENDPOINT=http://localhost:9000")
	}

	appParams := cmd.OpenIDClientAppParams{

    echo "    -X prop       set non-standard JAVA system property"
    echo "   --prop=val"
    echo "   --prop val     set fess property (i.e. -Des.<prop>=<val>)"
}

# Parse any long getopt options and put them into properties before calling getopt below
# Be dash compatible to make sure running under ubuntu works
ARGV=""
while [ $# -gt 0 ]
do
    case $1 in
      --help) ARGV="$ARGV -h"; shift;;

    Set<Object> observed = Sets.newIdentityHashSet(); // for the sake of weakly referenced locks.
    // this gets the stripes with #getAt(index)
    for (int i = 0; i < striped.size(); i++) {
      Object object = striped.getAt(i);
      assertThat(object).isNotNull();
      assertSame(object, striped.getAt(i)); // idempotent
      observed.add(object);
    }
    assertTrue("All stripes observed", observed.size() == striped.size());

    Set<Object> observed = Sets.newIdentityHashSet(); // for the sake of weakly referenced locks.
    // this gets the stripes with #getAt(index)
    for (int i = 0; i < striped.size(); i++) {
      Object object = striped.getAt(i);
      assertThat(object).isNotNull();
      assertSame(object, striped.getAt(i)); // idempotent
      observed.add(object);
    }
    assertTrue("All stripes observed", observed.size() == striped.size());

  __path__ = [_tf_api_dir]
elif _tf_api_dir not in __path__:
  __path__.append(_tf_api_dir)

# Hook external TensorFlow modules.

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (

     *
     * @param key the environment variable key
     * @return the environment variable value, or null if not found
     */
    public static String getEnv(String key) {
        return System.getenv(key);
    }

    /**
     * Returns the system environment variable value for the specified key, or the default value if not found.
     *
     * @param key the environment variable key