* limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.undeclared

import org.gradle.internal.cc.impl.AbstractConfigurationCacheIntegrationTest
import org.gradle.test.fixtures.file.TestFile
import org.junit.Assume

import static org.gradle.internal.cc.impl.inputs.undeclared.FileUtils.testFileName
import static org.gradle.internal.cc.impl.inputs.undeclared.FileUtils.testFilePath

// GetSubSys - extracts subssystem info from given config string
func GetSubSys(s string) (subSys string, inputs []string, tgt string, e error) {
	tgt = Default
	if len(s) == 0 {
		return subSys, inputs, tgt, Errorf("input arguments cannot be empty")
	}
	inputs = strings.SplitN(s, KvSpaceSeparator, 2)

	subSystemValue := strings.SplitN(inputs[0], SubSystemSeparator, 2)
	subSys = subSystemValue[0]
	if !SubSystems.Contains(subSys) {

  }

  return builder->create<mlir::TF::ConcatOp>(
      location, output_type, concat_dimension_op.getOutput(), inputs);
}

// For tile sharded inputs to TPU computation, inject split op between the
// input values and TPU computation so that tiled input values are passed in
// as inputs to TPU computations. If more than one dimension is sharded, then

  LogicalResult matchAndRewrite(mhlo::BatchNormTrainingOp bn_op,
                                PatternRewriter &rewriter) const override {
    auto inputs = bn_op.getOperand();
    auto input_type = mlir::dyn_cast<RankedTensorType>(inputs.getType());
    if (!input_type) {
      return failure();
    }
    auto feature_index = bn_op.getFeatureIndex();

    // Compute mean

def LegalizeExpandDims : Pat<(TF_ExpandDimsOp $input, $dim),
                             (TFL_ExpandDimsOp $input, $dim)>;

def LegalizeFakeQuantToDequantizeQuantize : Pat<
  (TF_FakeQuantWithMinMaxArgsOp $inputs, $min, $max, $num_bits, $narrow_range),
  (TFL_DequantizeOp
   (TFL_QuantizeOp $inputs,
                   (ConvertToQuantTypeFromAttrs $inputs, $min, $max,
                    $num_bits, $narrow_range)))>;

	"istio.io/istio/pkg/config/schema/collections"
	"istio.io/istio/pkg/config/schema/resource"
)

func ConvertInputsToSchemas(inputs []config.GroupVersionKind) collection.Schemas {
	resultBuilder := collection.NewSchemasBuilder()
	for _, gv := range inputs {
		s, f := collections.All.FindByGroupVersionKind(gv)
		if !f {
			continue
		}
		_ = resultBuilder.Add(s)
	}

	return resultBuilder.Build()
}

            gradle.buildFinished { }
            classes {
                inputs.property('p', project)
                doLast { t -> t.project }
            }
        """
        buildFile << """
            tasks.register("broken") {
                gradle.addListener(new BuildAdapter())
                inputs.property('p', project).optional(true)
                doLast { }
            }

            }

            task a(type: TaskA) {
                inputFile = file("input.txt")
            }
        """
        file("input.txt").text = 'input-file'

        when:
        succeeds "a"

        then:
        result.assertTasksNotSkipped(':a')
        outputContains("file name: input.txt content: 'input-file'")

        // No changes
        when:
        succeeds "a"

                }
            }
            task direct { inputs.files configurations.compile }
            task fileCollection { inputs.files configurations.compile.fileCollection { true } }
            task ownDependencies { dependsOn configurations.compile.dependencies }
            task allDependencies { dependsOn configurations.compile.allDependencies }
            task incomingFiles { inputs.files configurations.compile.incoming.files }

// information to the abstract model and/or elevating k8s
// representation to first-class type to avoid extra conversions.

func parseInputsImpl(inputs string, withValidate bool) ([]config.Config, []IstioKind, error) {
	var varr []config.Config
	var others []IstioKind
	reader := bytes.NewReader([]byte(inputs))
	empty := IstioKind{}

	// We store configs as a YaML stream; there may be more than one decoder.