@SuppressWarnings("module")
module okhttp3 {
  requires transitive kotlin.stdlib;
  requires transitive okio;
  requires java.logging;
  exports okhttp3;
  exports okhttp3.internal to okhttp3.logging, okhttp3.sse, okhttp3.java.net.cookiejar, okhttp3.dnsoverhttps, mockwebserver3, okhttp3.mockwebserver, okhttp3.coroutines, okhttp3.tls;
  exports okhttp3.internal.concurrent to mockwebserver3, okhttp3.mockwebserver;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/** Guava Testlib */
module com.google.common.testlib {
  requires java.logging;
  requires transitive com.google.common;
  requires transitive junit;
  requires static com.google.errorprone.annotations;
  requires static com.google.j2objc.annotations;

        }

        return false;
    }

    /**
     * Checks if a model version is eligible for inference optimizations.
     * Models 4.0.0+ are eligible (4.0.0 has limited inference, 4.1.0+ has full inference).
     *
     * @param modelVersion the model version to check
     * @return true if eligible for inference
     */

            // Create model and set properties
            Model model = new Model();
            Properties props = model.getProperties();

            // Create properties and populate from map to maintain order
            orderedMap.forEach(props::setProperty);

            // Get the immutable delegate (v4 API model is already immutable)
            org.apache.maven.api.model.Model immutable = model.getDelegate();

@SuppressWarnings("module")
module okhttp3.logging {
  requires okhttp3;
  exports okhttp3.logging;

@SuppressWarnings("module")
module okhttp3.urlconnection {
  requires okhttp3;

    *   `Model.fit_generator`, `Model.evaluate_generator`,
        `Model.predict_generator`, `Model.train_on_batch`,
        `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect
        the `run_eagerly` property, and will correctly run using `tf.function`
        by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,

 */
package org.apache.maven.model.plugin;

import javax.inject.Named;
import javax.inject.Singleton;

import org.apache.maven.model.Build;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.InputSource;
import org.apache.maven.model.Model;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginManagement;
import org.apache.maven.model.ReportPlugin;

 * under the License.
 */
package org.apache.maven.model.building;

import java.io.File;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Properties;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**

    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):