package org.gradle.test

import org.gradle.test.sub.*;

class GroovyClassWithImports extends SubGroovyClass implements SubJavaInterface, GroovyInterface {
    void close() {
    }
}

package org.gradle.test.sub2;

public interface SubInterface {

            }
        """
        file("sub2/build.gradle") << """
            dependencies {
                implementation group: 'junit', name: 'junit', version: '4.10'
            }
        """
        settingsFile << """
            include "sub1", "sub2"
        """

        when:
        def runner = runner('dependencyUpdates', '-DoutputFormatter=txt')

package org.gradle.test;

import org.gradle.test.sub2.Sub2Interface;

public class JavaClassWithInnerTypes implements Sub2Interface {
    /**
     * This is an inner enum.
     */
    enum InnerEnum {
    }

    /**
     * This is an inner class.
     */
    static class InnerClass {
        InnerEnum getEnumProp() { return null; }

        /**
         * This is an inner inner class.
         */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

include 'sub1'

	// are a multiple of the block size.
	BlockSize() int
}

// Hash32 is the common interface implemented by all 32-bit hash functions.
type Hash32 interface {
	Hash
	Sum32() uint32
}

// Hash64 is the common interface implemented by all 64-bit hash functions.
type Hash64 interface {
	Hash
	Sum64() uint64

	return Checksum(getChecksum(data))
}

// Get returns calculated checksum of checkpoint data
func getChecksum(data interface{}) uint64 {
	hash := fnv.New32a()
	hashutil.DeepHashObject(hash, data)
	return uint64(hash.Sum32())

}
func (c *stripedCache) remove(key string) {
	c.caches[c.hashFunc(key)%c.stripeCount].remove(key)
}

func fnvHashFunc(key string) uint32 {
	f := fnv.New32()
	f.Write([]byte(key))
	return f.Sum32()

	}
}

func getPodTemplateSpecOldHash(template v1.PodTemplateSpec) uint32 {
	podTemplateSpecHasher := adler32.New()
	hashutil.DeepHashObject(podTemplateSpecHasher, template)
	return podTemplateSpecHasher.Sum32()
}

func BenchmarkFnv(b *testing.B) {
	spec := v1.PodTemplateSpec{}
	json.Unmarshal([]byte(podSpec), &spec)

	for i := 0; i < b.N; i++ {
		controller.ComputeHash(&spec, nil)
	}

// CHECK: %[[pad2:.*]] = "tf.PadV2"(%[[quant2]]
// CHECK: %[[xlaconv2:.*]] = "tf.XlaConvV2"(%[[pad2]]
// CHECK: %[[sub2:.*]] = "tf.Sub"(%[[xlaconv2]]
// CHECK: %[[cast2:.*]] = "tf.Cast"(%[[sub2]]) <{Truncate = false}> : (tensor<1x3x2x2xi32>) -> tensor<1x3x2x2xf32>
// CHECK: %[[rescale2:.*]] = "tf.Mul"(%[[cast2]]
// CHECK: %[[rescale2_maxclamped:.*]] = "tf.Maximum"(%[[rescale2]]