+ custom.withGradientMode('hue')
      + if std.length(desc) > 0 then
        timeSeries.panelOptions.withDescription(desc)
      else {},

    simple(title, targets, desc=''):
      self.base(title, targets, desc)
      + options.legend.withCalcs([])
      + options.legend.withDisplayMode('list'),

    short(title, targets, desc=''):
      self.base(title, targets, desc)
      + timeSeries.standardOptions.withUnit('short')

 * limitations under the License.
 */

package org.gradle.internal.cc.impl

class ConfigurationCacheProjectLayoutIntegrationTest extends AbstractConfigurationCacheIntegrationTest {

    def "buildDirectory #desc derived from task provider is compatible"() {
        given:
        buildFile """
            abstract class Producer extends DefaultTask {

                @OutputFile

#include "tensorflow/lite/c/c_api_types.h"

using llvm::cl::opt;

// NOLINTNEXTLINE
static opt<std::string> inputFileName(llvm::cl::Positional,
                                      llvm::cl::desc("<input file>"),
                                      llvm::cl::init("-"));

namespace mlir {
namespace {

TfLiteStatus QuantizeAnnotatedModel(llvm::StringRef buffer,

static llvm::cl::OptionCategory clOptionsCategory(DEBUG_TYPE " options");

// NOLINTNEXTLINE
static llvm::cl::list<std::string> cl_pass_list(
    "graph-passes", llvm::cl::value_desc("list"),
    llvm::cl::desc("comma separated list of GraphOptimizationPass to run."),
    llvm::cl::CommaSeparated, llvm::cl::cat(clOptionsCategory));

class GraphOptByNamePass : public GraphOptPass {
 public: