<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" />

			<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" />

		<!-- 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">

    // CHECK-NEXT:       %[[FUNC_CALL:[0-9]*]]:2 = func.call @__reduce_func_3(%[[ARG_11]], %[[ARG_12]], %[[GET_VALUE]]#0, %[[GET_VALUE]]#1, %[[ARG_13]], %[[ARG_14]])
    // CHECK-SAME:       _xla_compile_device_type = "TPU"
    // CHECK:            "tf.Yield"(%[[FUNC_CALL]]#0, %[[FUNC_CALL]]#1)
    // CHECK:            "tf.Yield"(%[[ARG_11]], %[[ARG_12]])

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=x -tf-input-data-types=DT_INT32 -tf-input-shapes=10 -tf-output-arrays=func_call -o - | FileCheck %s

node {
  name: "x"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
          dim {

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-output-arrays=func_call -o - | FileCheck %s

node {
  name: "x"
  op: "VarHandleOp"
  device: "/CPU:0"
  attr {
    key: "container"
    value {
      s: "a"
    }
  }
  attr {
    key: "dtype"
    value {
      type: DT_INT64
    }
  }
  attr {
    key: "shape"
    value {
      shape {
      }
    }
  }

feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "func_call" }

// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

func.func @main() -> tensor<*x!tf_type.resource> attributes {tf.entry_function = {inputs = "", outputs = "func_call"}} {
  %0 = tf_executor.graph {
    %outputs, %control = tf_executor.island wraps "tf.VarHandleOp"() {container = "a", device = "/CPU:0", dtype = i64, shape = "tfshape$", shared_name = "x"} : () -> tensor<!tf_type.resource<tensor<i64>>> loc("x")

    // CHECK: tf_executor.island wraps "tf._Retval"(%outputs_0) {T = !tf_type.resource, _mlir_name = "func_call", index = 0 : i64} : (tensor<*x!tf_type.resource>) -> ()
    %ctl_1 = _Retval(%test_func_name0) name("func_call") {T = !tf_type.resource, index = 0 : i64} : tensor<*x!tf_type.resource>
    // CHECK: tf_executor.fetch
  }

// errorcheck

// Copyright 2014 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Check for cycles in a function call.

package funccall

func fx() int {
	_ = x
	return 0
}