#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/lite/utils/attribute_utils.h"
#include "tensorflow/compiler/mlir/lite/utils/constant_utils.h"

	quarkus/test-framework/junit5-internal/pom.xml
	quarkus/test-framework/h2/pom.xml
	quarkus/extensions/jdbc/jdbc-h2/deployment/pom.xml
quarkus/integration-tests/class-transformer/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/integration-tests/class-transformer/runtime/pom.xml
quarkus/extensions/smallrye-openapi/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/extensions/vertx-http/deployment/pom.xml

  // If there are no marked nodes, funcification should be a no-op.
  TF_EXPECT_GRAPH_EQ(graphdef_in, graphdef_out);
  TF_EXPECT_FUNCTIONDEFLIBRARY_EQ(library_in, library_out);
}

// Test with one function to transform.
TEST(EncapsulateSubgraphsTest, OneFunction) {
  FunctionDefLibrary library;
  GraphDef graphdef;

  {
    *library.add_function() = test::function::XTimesTwo();

#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/DialectConversion.h"  // from @llvm-project
#include "stablehlo/dialect/BroadcastUtils.h"  // from @stablehlo
#include "stablehlo/dialect/ChloOps.h"  // from @stablehlo
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/hlo_matchers.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/reduce.h"

  // Add edges from outside compilation nodes to While node.
  std::vector<Node*> outside_compilation_nodes;
  outside_compilation_nodes.reserve(
      lifted_arg_nodes_and_outside_compilation_nodes.size());
  std::transform(
      lifted_arg_nodes_and_outside_compilation_nodes.begin(),
      lifted_arg_nodes_and_outside_compilation_nodes.end(),
      std::back_inserter(outside_compilation_nodes),

#include "mlir/Parser/Parser.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/InliningUtils.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_arith_ops_folder.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_op_interfaces.h"

  for (auto pair : llvm::zip(op.getResults(), unpack_unary_op.getResults())) {
    OpResult old_result = std::get<0>(pair);  // result of original Unpack
    OpResult new_result = std::get<1>(pair);  // result of transformed Unpack
    for (Operation *user : llvm::make_early_inc_range(old_result.getUsers()))
      rewriter.replaceOp(user, ValueRange(new_result));
  }

  // Erase original unpack operation.

			if defaultCluster != nil {
				_ = cb.applyDestinationRule(defaultCluster, DefaultClusterMode, service, servicePort, eb, nil, nil)
			}

			if diff := cmp.Diff(defaultCluster.build(), tt.expectedCluster, protocmp.Transform()); diff != "" {
				t.Errorf("Unexpected default cluster, diff: %v", diff)
			}
		})
	}
}

func TestClusterDnsLookupFamily(t *testing.T) {
	servicePort := &model.Port{

{opacity:1}]},percent:function(t){return 1-Ve(t,"opacity")},translate:function(t){return[{opacity:1-t},{opacity:t}]}},scale:{show:function(){return[{opacity:0,transform:Or(.8)},{opacity:1,transform:Or(1)}]},percent:function(t){return 1-Ve(t,"opacity")},translate:function(t){return[{opacity:1-t,transform:Or(1-.2*t)},{opacity:t,transform:Or(.8+.2*t)}]}}});function Lr(t,e,i){Kt(t,Jt(e,!1,!1,i))}var Fr={mixins:[{props:{autoplay:Boolean,autoplayInterval:Number,pauseOnHover:Boolean},data:{autoplay:!1,...

#include "tensorflow/compiler/mlir/tensorflow/transforms/initialize_variables_in_session_init.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/lift_variables.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/mark_initialized_variables.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_saved_model_passes.h"