then:
        normalized == expected
    }

    def "successfully normalizes Scala compiler warning"() {
        given:
        String input = """
> Task :app:compileJava NO-SOURCE
> Task :app:compileScala
[Warn] : -target is deprecated: Use -release instead to compile against the correct platform API.
one warning found

> Task :app:processResources NO-SOURCE
> Task :app:classes

limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/aot/aot_only_var_handle_op.h"

#include "tensorflow/compiler/tf2xla/xla_context.h"
#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
#include "tensorflow/core/framework/shape_inference.h"

namespace tensorflow {
namespace {

//
//     int foo;
//     GTEST_COMPILE_ASSERT_(foo, msg); // not supposed to compile as foo is
//                                      // not a compile-time constant.
//
// - By using the type CompileAssert<(bool(expr))>, we ensures that
//   expr is a compile-time constant.  (Template arguments must be
//   determined at compile-time.)
//
// - The outer parentheses in CompileAssert<(bool(expr))> are necessary

#include <cstdint>
#include <string>

#include "tensorflow/compiler/jit/xla_compile_util.h"
#include "tensorflow/core/framework/attr_value.pb.h"

namespace tensorflow {

// Tracks statistics for device compilation and uses these to determine whether
// the given cluster should be compiled or not.
class DeviceCompilationProfiler : public ResourceBase {
 public:

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Transforms/DialectConversion.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_dialect.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/xla_legalize_targets.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"

    }

    def "new generated classes are removed on the compile failure and incremental compilation works after a failure"() {
        def b = source("package b; class B {}")
        source("class Unrelated {}")
        outputs.snapshot { run language.compileTaskName }

        when:
        // Compile more classes, so there is possibility some is generated before a compile failure.

==============================================================================*/

#include "tensorflow/compiler/jit/device_compilation_profiler.h"

#include <cstdint>
#include <optional>
#include <string>
#include <utility>

#include "absl/strings/str_cat.h"
#include "tensorflow/compiler/jit/xla_activity.pb.h"
#include "tensorflow/compiler/jit/xla_activity_listener.h"
#include "tensorflow/core/framework/attr_value.pb.h"

}
dependencies {
    compile files('test-lib.jar')
    compile project(':a')
    compile 'org:test:1.0'
    artifacts {
        compile file('test.jar')
    }
}
project(':a') {
    dependencies {
        compile files('a-lib.jar')
        compile project(':b')
        compile 'org:test:1.0'
    }
    artifacts {
        compile file('a.jar')
    }
}
project(':b') {

//  - XLA devices count as "unrecognized devices".
//
// This set of rules above implicitly assume that XLA:GPU can compile all
// operations in the cluster that XLA:CPU can compile, and if
// `allow_mixing_unknown_and_cpu` then the unrecognized device can also compile
// all operations in the cluster that XLA:CPU can compile.
//
// We provide the `allow_mixing_unknown_and_cpu` knob so that we can do both of
// the following things:
//

#include "tensorflow/compiler/jit/flags.h"

#include <limits>
#include <mutex>  // NOLINT
#include <optional>
#include <vector>

#include "absl/base/call_once.h"
#include "absl/strings/numbers.h"
#include "absl/strings/str_split.h"
#include "absl/strings/strip.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/dump_graph.h"
#include "xla/parse_flags_from_env.h"