import org.apache.maven.repository.legacy.WagonManager;
import org.codehaus.plexus.logging.AbstractLogEnabled;

/**
 * Describes a version transformation during artifact resolution.
 *
 * TODO try and refactor to remove abstract methods - not particular happy about current design
 */
@Deprecated
public abstract class AbstractVersionTransformation extends AbstractLogEnabled implements ArtifactTransformation {
    @Inject

    }

    /**
     * Converts a phrase query to a query builder.
     *
     * @param context the query context
     * @param phraseQuery the phrase query
     * @param boost the boost factor
     * @return the query builder
     */
    protected QueryBuilder convertPhraseQuery(final QueryContext context, final PhraseQuery phraseQuery, final float boost) {
        final Term[] terms = phraseQuery.getTerms();

    // Round down to the nearest power of 2.
    expectedEntries = max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);
    // Check to make sure that we will not exceed the maximum load factor.
    if (expectedEntries > (int) (loadFactor * tableSize)) {
      tableSize <<= 1;
      return (tableSize > 0) ? tableSize : MAX_TABLE_SIZE;
    }
    return tableSize;
  }

 * This structure provides complete allocation details including total allocation units, caller-available free units,
 * actual free allocation units, sectors per allocation unit, and bytes per sector.
 */
public class FileFsFullSizeInformation implements AllocInfo, FileSystemInformation, Decodable {

    private long alloc; // Also handles SmbQueryFSSizeInfo
    private long free;
    private int sectPerAlloc;

  tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0);
  job_def->mutable_tasks()->at(task_index) = absl::StrCat(host, ":", port);
}

std::vector<std::string> ListDeviceNames(TFE_Context* ctx) {
  TF_Status* status = TF_NewStatus();
  std::vector<std::string> device_names;
  TF_DeviceList* devices = TFE_ContextListDevices(ctx, status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

     *
     * @param context the query context containing search configuration
     * @param query the Lucene query to convert (must be a FuzzyQuery)
     * @param boost the boost factor to apply to the query
     * @return OpenSearch QueryBuilder for fuzzy matching
     * @throws InvalidQueryException if the query is not a FuzzyQuery
     */
    @Override

==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_C_API_UNIFIED_EXPERIMENTAL_INTERNAL_H_
#define TENSORFLOW_C_EAGER_C_API_UNIFIED_EXPERIMENTAL_INTERNAL_H_

#include <vector>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_operation.h"

    } else {
      TFE_OpAddInput(op, input, s);
    }
    if (TF_GetCode(s) != TF_OK) return;
  }
  std::vector<TFE_TensorHandle*> op_outputs(*num_outputs);
  TFE_Execute(op, op_outputs.data(), num_outputs, s);
  TFE_DeleteOp(op);
  if (TF_GetCode(s) != TF_OK) return;
  std::vector<TFE_TensorHandle*> unwrapped_outputs;
  unwrapped_outputs.reserve(op_outputs.size());
  for (auto* handle : op_outputs) {

	MOVL (AX)(X0*1), AX             // ERROR "invalid instruction"
	MOVL (AX)(Y0*1), AX             // ERROR "invalid instruction"
	// VSIB/VM is invalid without vector index.
	// TODO(quasilyte): improve error message (#21860).
	// "invalid VSIB address (missing vector index)"
	VPGATHERQQ Y2, (BP), Y1         // ERROR "invalid instruction"
	// AVX2GATHER mask/index/dest #UD cases.

        assertTrue(result.contains("sectPerAlloc=" + sectPerAlloc));
        assertTrue(result.contains("bytesPerSect=" + bytesPerSect));
    }

    @Test
    @DisplayName("Test decode with single sector per allocation")
    void testDecodeWithSingleSectorPerAllocation() throws SMBProtocolDecodingException {
        // Prepare test data with sectPerAlloc = 1
        byte[] buffer = new byte[22];