stringValue = ((Named) attributeValue).getName();
                        } else if (attributeValue instanceof Object[]) { // don't bother trying to handle primitive arrays specially
                            stringValue = Arrays.toString((Object[]) attributeValue);
                        } else {
                            stringValue = attributeValue.toString();

 * <li>{@link Float}</li>
 * <li>{@link Double}</li>
 * <li>{@link java.math.BigInteger}</li>
 * <li>{@link java.math.BigDecimal}</li>
 * <li>{@link java.io.File}</li>
 * </ul>
 * <p>
 * All primitive types and {@link Enum} types are also allowed.
 * <p>
 * Properties that are themselves of a managed type are also supported.
 * <p>

	"fmt"
	"os"
)

// RSA is able to encrypt only a very limited amount of data. In order
// to encrypt reasonable amounts of data a hybrid scheme is commonly
// used: RSA is used to encrypt a key for a symmetric primitive like
// AES-GCM.
//
// Before encrypting, data is “padded” by embedding it in a known
// structure. This is done for a number of reasons, but the most
// obvious is to ensure that the value is large enough that the

		for _, name := range append(reservedNames, "(") {
			quotedNames = append(quotedNames, regexp.QuoteMeta(name))
		}
		return regexp.MustCompile(strings.Join(quotedNames, "|"))
	}()
)

// simplifyFunc does some primitive simplification of function names.
func simplifyFunc(f string) string {
	// Account for leading '.' on the PPC ELF v1 ABI.
	funcName := strings.TrimPrefix(f, ".")

  (replaceWithValue $arg)>;

// Remove StopGradient op
def RemoveStopGradient : Pat<
  (TF_StopGradientOp $arg),
  (replaceWithValue $arg)>;

// Converts tf.FusedBatchNormV3 into a sequence of more primitive arithmetic
// operations. Specifically, performs the following calculation:
//
//   (x - mean) * scale / sqrt(variance + epsilon) + offset
//
// Let multiplier = scale / sqrt(variance + epsilon),
// to compute

            .and(not(inGradlePublicApiPackages()))
            .and(not(inTestFixturePackages()))
            .as("in Gradle internal API packages");
    }

    DescribedPredicate<JavaClass> primitive = new DescribedPredicate<JavaClass>("primitive") {
        @Override
        public boolean test(JavaClass input) {
            return input.isPrimitive();
        }
    };

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.configuration.inputs;

import com.google.common.primitives.Primitives;

import javax.annotation.Nullable;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.PrintStream;
import java.io.PrintWriter;
import java.io.Reader;

 *
 * <ul>
 *   <li>If all the values you want to summarize are already known, use the appropriate {@code
 *       Stats.of} factory method below. Primitive arrays, iterables and iterators of any kind of
 *       {@code Number}, and primitive varargs are supported.
 *   <li>Or, to avoid storing up all the data first, create a {@link StatsAccumulator} instance,

[[cannot_use_optional_on_primitive_types]]
== Invalid use of @Optional annotation on primitive types

This error indicates that a property of primitive type is also annotated with `@Optional`.
This is similar to `null` not being assignable to primitive types in Java.

To fix this problem, you have two options:

- remove the `@Optional` annotation

        "has-tostringtag": "^1.0.0"
      },
      "engines": {
        "node": ">= 0.4"
      }
    },
    "node_modules/es-to-primitive": {
      "version": "1.2.1",
      "resolved": "https://registry.npmjs.org/es-to-primitive/-/es-to-primitive-1.2.1.tgz",
      "integrity": "sha512-QCOllgZJtaUo9miYBcLChTUaHNjJF3PYs1VidD7AwiEj1kYxKeQTctLAezAOH5ZKRH0g2IgPn6KwB4IT8iRpvA==",
      "dev": true,