This pass takes the TPU computation subgraph, moves them into a
`tf_device.cluster`, and copies over attributes from the associated
`tf.TPUReplicateMetadata` op to the newly created `tf_device.cluster`. If the
computation is replicated (`num_replicas` > 1), the `num_replicas` attribute is
not copied over but instead the `tf_device.cluster` is further wrapped with a

// within a single bucket.
//
// If more than 8 keys hash to a bucket, we chain on
// extra buckets.
//
// When the hashtable grows, we allocate a new array
// of buckets twice as big. Buckets are incrementally
// copied from the old bucket array to the new bucket array.
//
// Map iterators walk through the array of buckets and
// return the keys in walk order (bucket #, then overflow
// chain order, then bucket index).  To maintain iteration

			}
			return matched
		}
	}

	return true
}

// copyfile copies the file src to dst, via memory (so only good for small files).
func copyfile(dst, src string, flag int) {
	if vflag > 1 {
		errprintf("cp %s %s\n", src, dst)
	}
	writefile(readfile(src), dst, flag)
}

// dopack copies the package src to dst,
// appending the files listed in extra.

import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;

import static org.gradle.api.internal.artifacts.ivyservice.IvyUtil.createModuleRevisionId;

/**
 * Copied from org.apache.ivy.plugins.parser.xml.XmlModuleDescriptorParser into Gradle codebase, and heavily modified.
 */
public class IvyXmlModuleDescriptorParser extends AbstractModuleDescriptorParser<MutableIvyModuleResolveMetadata> {

     *
     * There's another reason for not allowing inheritance: it allows more precise selection, while still
     * allowing the build author/plugin writer to decide what attributes should be copied to child configurations.
     *
     */
    def "attributes of parent configurations should not be used when matching"() {
        given:
        createDirs("a", "b")

        }

        // Set the implicit system properties regardless of whether default JVM args are required or not, this should not interfere with tests' intentions
        // These will also be copied across to any daemon used
        for (Map.Entry<String, String> entry : getImplicitJvmSystemProperties().entrySet()) {
            String key = entry.getKey();
            String value = entry.getValue();

// CHECK-NOT:  _replication_info = "replicate"
// CHECK-NOT:  device = "/device:TPU:0"
// CHECK:      tf_device.return


// Test TPUReplicateMetadata ops `name` and `num_replicas` attributes are not
// copied over to `tf_device.cluster`.
// CHECK-LABEL: func @removed_metadata_attrs
func.func @removed_metadata_attrs() {

			return nil, fmt.Errorf("the server could not properly serve the CR schema") // validation should avoid this
		}

		if crd.Spec.PreserveUnknownFields == false {
			// we don't own s completely, e.g. defaults are not deep-copied. So better make a copy here.
			s = s.DeepCopy()

			if err := structuraldefaulting.PruneDefaults(s); err != nil {
				// This should never happen. If it does, it is a programming error.

};

// Validates that the tensor has shape and type corresponding to
// dims and dtype.
void validate_tensor(TF_Tensor* tensor, int64_t* dims, int64_t num_dims,
                     TF_DataType dtype);

// Copies data of length tensor_size_bytes from values to tensor.
template <typename T>
void set_tensor_data(TF_Tensor* tensor, T* values, size_t tensor_size_bytes,
                     TF_OpKernelContext* ctx);

// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//