})
            .entries
            .map { TestProjectDuration(it.key, it.value) }
            .sortedBy { -it.totalTime }
    return splitIntoBuckets(
        LinkedList(testProjectDurations),
        TestProjectDuration::totalTime,
        { largeElement: TestProjectDuration, size: Int -> largeElement.split(size) },
        { list: List<TestProjectDuration> -> MultipleTestProjectBucket(list) },

        ExecutorService executor = Executors.newFixedThreadPool(threadCount);
        CountDownLatch startLatch = new CountDownLatch(1);
        CountDownLatch endLatch = new CountDownLatch(threadCount);

        AtomicLong totalTime = new AtomicLong(0);
        AtomicInteger successCount = new AtomicInteger(0);
        List<Exception> exceptions = new ArrayList<>();

        // Mock address for testing

                auth1.equals(auth3);
                auth2.equals(auth3);
            }
            long totalTime = System.nanoTime() - startTime;

            // Should complete in reasonable time (< 10ms for 3000 operations)
            assertTrue(totalTime < 10_000_000L, "Null/empty password comparisons taking too long: " + totalTime + " ns");
        } finally {
            auth1.close();
            auth2.close();

            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;

}

func TestGetDivisibleSize(t *testing.T) {
	testCases := []struct {
		totalSizes []uint64
		result     uint64
	}{
		{[]uint64{24, 32, 16}, 8},
		{[]uint64{32, 8, 4}, 4},
		{[]uint64{8, 8, 8}, 8},
		{[]uint64{24}, 24},
	}

	for _, testCase := range testCases {
		t.Run("", func(t *testing.T) {
			gotGCD := getDivisibleSize(testCase.totalSizes)
			if testCase.result != gotGCD {

                        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) {