// XlaCallModule
//===----------------------------------------------------------------------===//

def XlaCallModuleDeserializationPass
    : Pass<"tf-xla-call-module-deserialization", "ModuleOp"> {
  let summary = "Deserializes StableHLO functions embedded in `tf.XlaCallModule` to top level module";

  let description = [{

import org.jetbrains.kotlin.resolve.multiplatform.ExpectActualCompatibility
import org.jetbrains.kotlin.resolve.multiplatform.ExpectActualCompatibility.MismatchOrIncompatible
import org.jetbrains.kotlin.serialization.deserialization.IncompatibleVersionErrorData
import org.jetbrains.kotlin.types.Variance

/*
 * This file was generated automatically
 * DO NOT MODIFY IT MANUALLY
 */

      Object key = e.getKey();
      return key != null && LocalCache.this.remove(key, e.getValue());
    }
  }

  // Serialization Support

  /**
   * Serializes the configuration of a LocalCache, reconstituting it as a Cache using CacheBuilder
   * upon deserialization. An instance of this class is fit for use by the writeReplace of
   * LocalManualCache.
   *

      Object key = e.getKey();
      return key != null && LocalCache.this.remove(key, e.getValue());
    }
  }

  // Serialization Support

  /**
   * Serializes the configuration of a LocalCache, reconstituting it as a Cache using CacheBuilder
   * upon deserialization. An instance of this class is fit for use by the writeReplace of
   * LocalManualCache.
   *

import org.jetbrains.kotlin.resolve.multiplatform.ExpectActualCompatibility
import org.jetbrains.kotlin.resolve.multiplatform.ExpectActualCompatibility.MismatchOrIncompatible
import org.jetbrains.kotlin.serialization.deserialization.IncompatibleVersionErrorData
import org.jetbrains.kotlin.types.Variance

/*
 * This file was generated automatically
 * DO NOT MODIFY IT MANUALLY
 */

internal class UnsupportedImpl(

* To reduce memory usage to reasonable levels in smaller clusters, kube-apiserver now sets the deserialization cache size based on the target memory usage. ([#34000](https://github.com/kubernetes/kubernetes/pull/34000), [@wojtek-t](https://github.com/wojtek-t))

* To reduce memory usage to reasonable levels in smaller clusters, kube-apiserver now sets the deserialization cache size based on the target memory usage. ([#34000](https://github.com/kubernetes/kubernetes/pull/34000), [@wojtek-t](https://github.com/wojtek-t))

	quarkus/extensions/devservices/common/pom.xml
quarkus/integration-tests/rest-client-reactive-kotlin-serialization/pom.xml
	quarkus/extensions/resteasy-reactive/quarkus-resteasy-reactive-kotlin-serialization/runtime/pom.xml
	quarkus/extensions/resteasy-reactive/rest-client-reactive-kotlin-serialization/runtime/pom.xml
	quarkus/test-framework/junit5/pom.xml
quarkus/test-framework/vertx/pom.xml

            response_name = "Response_" + self.unique_id
            self.response_field = create_response_field(
                name=response_name,
                type_=self.response_model,
                mode="serialization",
            )
            # Create a clone of the field, so that a Pydantic submodel is not returned
            # as is just because it's an instance of a subclass of a more limited class

                It will be used for:

                * Documentation: the generated OpenAPI (and the UI at `/docs`) will
                    show it as the response (JSON Schema).
                * Serialization: you could return an arbitrary object and the
                    `response_model` would be used to serialize that object into the
                    corresponding JSON.