assertProblemFree(collector);

        List<Dependency> rDeps = result.getDependencies();
        assertNotNull(rDeps);
        assertEquals(1, rDeps.size());
        assertEquals(
                new File(basedir, "artifact.jar").getAbsolutePath(),
                new File(rDeps.get(0).getSystemPath()).getAbsolutePath());
    }

    @Test

  # Find all one-step dependencies of those tests which are from //tensorflow
  # (since external deps will come from Python-level pip dependencies),
  # excluding dependencies and files that are known to be unneccessary.
  # This creates a list of targets under //tensorflow that are required for
  # TensorFlow python tests.

<?xml version="1.0" encoding="UTF-8"?>
<project name="deps" basedir=".">
	<property name="target.dir" value="${basedir}/target/deps" />
	<property name="webinf.dir" value="${basedir}/src/main/webapp/WEB-INF" />
	<property name="crawler.dir" value="${basedir}/src/main/webapp/WEB-INF/env/crawler" />
	<property name="suggest.dir" value="${basedir}/src/main/webapp/WEB-INF/env/suggest" />
	<property name="thumbnail.dir" value="${basedir}/src/main/webapp/WEB-INF/env/thumbnail" />

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

        // check all transitive deps of a provided dependency are provided scope, except for test
        checkGroupIdScope(project, "provided", "maven-test-provided");
        artifact = getArtifact(project, "maven-test-provided", "scope-runtime");
        assertEquals("provided", artifact.getScope(), "Check scope");

        // check all transitive deps of a runtime dependency are runtime scope, except for test

      list.add(listener, directExecutor());
    }
    return list.getImpl();
  }

  @Benchmark
  int addThenExecute_singleThreaded(int reps) {
    int returnValue = 0;
    for (int i = 0; i < reps; i++) {
      list = impl.newExecutionList();
      listenerLatch = new CountDownLatch(numListeners);
      for (int j = 0; j < numListeners; j++) {

        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "@com_google_absl//absl/container:inlined_vector",
    ],
)

cc_library(
    name = "abstract_operation",
    hdrs = ["abstract_operation.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":abstract_tensor_handle",

    }
  }

  @Benchmark
  long factorialDouble(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += Double.doubleToRawLongBits(impl.factorialDouble(factorials[j]));
    }
    return tmp;
  }

  @Benchmark
  int intGCD(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

  int copyArrayList(int reps) {
    int size = this.size;
    int dummy = 0;
    for (int rep = 0; rep < reps; rep++) {
      List<Object> builder = new ArrayList<>();
      for (int i = 0; i < size; i++) {
        builder.add(OBJECT);
      }
      dummy += ImmutableList.copyOf(builder).size();
    }
    return dummy;
  }

  @Benchmark
  int copyPreSizedArrayList(int reps) {
    int size = this.size;
    int tmp = 0;

  @Benchmark
  long stopwatch(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      Stopwatch s = Stopwatch.createStarted();
      // here is where you would do something
      total += s.elapsed(NANOSECONDS);
    }
    return total;
  }

  @Benchmark
  long manual(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      long start = System.nanoTime();