private long totalTime = 0;

            @Override
            public void store(DataStoreParams paramMap, Map<String, Object> dataMap) {
                try {
                    Thread.sleep(10); // Simulate processing time
                } catch (InterruptedException e) {
                    // Ignore
                }
                totalTime = System.currentTimeMillis() - startTime;

                        it.value.filter { tct ->
                            tct.sourceSet != "test"
                        },
                    )
                }.sortedBy { -it.totalTime }
                .filter { onlyNativeSubprojectsForIntelMacs(testCoverage, it.subProject.name) }

        return parallelize(subProjectTestClassTimes, testCoverage) { numberOfBatches ->
            when (testCoverage.os) {

  //     then total_size is the number of dimensions
  //     of the shape valued attribute, or -1
  //     if its rank is unknown.
  // (4) If type == TF_ATTR_SHAPE and is_list == 1
  //     then total_size is the cumulative number
  //     of dimensions of all shapes in the list.
  // (5) Otherwise, total_size is undefined.
  int64_t total_size;
} TF_AttrMetadata;

        }

        final PathMappingHelper pathMappingHelper = ComponentUtil.getPathMappingHelper();
        final SystemHelper systemHelper = ComponentUtil.getSystemHelper();
        final long totalTime = systemHelper.getCurrentTimeAsLong();

        final CrawlingInfoHelper crawlingInfoHelper = ComponentUtil.getCrawlingInfoHelper();

        try {

          s, TF_ATTR_STRING, metadata.total_size = 0;
          for (int i = 0; i < attr->list().s_size();
               ++i) { metadata.total_size += attr->list().s(i).size(); });
      LIST_CASE(i, TF_ATTR_INT);
      LIST_CASE(f, TF_ATTR_FLOAT);
      LIST_CASE(b, TF_ATTR_BOOL);
      LIST_CASE(type, TF_ATTR_TYPE);
      LIST_CASE(
          shape, TF_ATTR_SHAPE, metadata.total_size = 0;

    std::vector<size_t> lens(expected.size());
    std::unique_ptr<char[]> storage(new char[m.total_size]);
    TF_OperationGetAttrStringList(op, tensorflow::kColocationAttrName,
                                  values.data(), lens.data(), expected.size(),
                                  storage.get(), m.total_size, s_);
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    for (int i = 0; i < expected.size(); ++i) {