<param name="module.version" value="${opensearch.version}" />
			<param name="module.zip.version" value="${opensearch.version}" />
		</antcall>
		<!-- geo -->
		<antcall target="install.module">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="module.groupId" value="org/codelibs/opensearch/module" />
			<param name="module.name.prefix" value="" />
			<param name="module.name" value="geo" />

			<param name="plugin.version" value="2.14.0" />
			<param name="plugin.zip.version" value="2.14.0" />
		</antcall>
		<!-- analysis-fess -->
		<antcall target="install.plugin">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="plugin.groupId" value="org/codelibs/opensearch" />
			<param name="plugin.name.prefix" value="opensearch-" />
			<param name="plugin.name" value="analysis-fess" />

		<!-- javax.annotation-api -->
		<antcall target="install.env.jar">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="jar.groupId" value="javax/annotation" />
			<param name="jar.artifactId" value="javax.annotation-api" />
			<param name="jar.version" value="1.3.2" />
			<param name="file.version" value="1.3.2" />
		</antcall>
		<!-- kopf -->
		<get dest="${target.dir}/kopf.zip">

}


def TF_IfrtCallOp : TF_Op<"IfrtCall", []> {
  let summary = "Invokes a program via IFRT on a device";

  let description = [{
    This op calls an IFRT program uniquely identified by the given program id.

    During lowering from a `tf_device.cluster_func` op to a `tf.IfrtCall` op,
    the region owned by the former will be outlined to a function with a

        super(owner);
    }

    @Override
    public Boolean call() {
        return true;
    }

    @Override
    public Boolean call(Object... args) {
        return true;
    }

    @Override
    public Boolean call(Object arguments) {
        return true;
    }

    public Boolean doCall() {
        return true;
    }

    This op is an replacement of `tf.ReadVariableOp` in the case that a constant
    variable tensor is an input to the tpu program invoked by `tf.IfrtCall`.

    After a `tf.ReadVariableOp` is lowered into `tf.IfrtLoadVariableOp`, the `tf.IfrtCall` kernel
    will bind the loaded IFRT array by name with the tpu program's input.

    This op returns a scalar string tensor as a key for user to look for the loaded array

const Doc = `report uses of too-new standard library symbols

The stdversion analyzer reports references to symbols in the standard
library that were introduced by a Go release higher than the one in
force in the referring file. (Recall that the file's Go version is
defined by the 'go' directive its module's go.mod file, or by a
"//go:build go1.X" build tag at the top of the file.)

The analyzer does not report a diagnostic for a reference to a "too

) {
    @Suppress("unused")
    fun doCall(vararg args: Any) {
        val numClosureArgs = delegate.maximumNumberOfParameters
        val finalArgs: Array<out Any> = args.take(numClosureArgs).map { trackingProjectAccess(crossProjectModelAccess, referrerProject, it) }.toTypedArray()
        delegate.call(*finalArgs)
    }

    override fun setDelegate(delegateObject: Any) {

           << getArgs().size() << " vs. " << getNames().size() << ")";
  }
  return mlir::success();
}

//===----------------------------------------------------------------------===//
// IfrtCall
//===----------------------------------------------------------------------===//

mlir::LogicalResult IfrtCallOp::verify() {
  auto func = getOperation()->getParentOfType<mlir::func::FuncOp>();

// distinct coverage meta-data file. We then create a single pod for
// each meta-data file M_k, then find all of the counter data files
// that refer to that meta-data file (recall that the counter data
// file name incorporates the meta-data hash), and add the counter
// data file to the appropriate pod.
//
// This process is complicated by the fact that we need to keep track