ImmutableNetwork.Builder<String, Integer> immutableNetworkBuilder =
        networkBuilder.<String, Integer>immutable();

    // Update NetworkBuilder, but this shouldn't impact immutableNetworkBuilder
    networkBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableNetwork<String, Integer> emptyNetwork = immutableNetworkBuilder.build();

    ImmutableNetwork.Builder<String, Integer> immutableNetworkBuilder =
        networkBuilder.<String, Integer>immutable();

    // Update NetworkBuilder, but this shouldn't impact immutableNetworkBuilder
    networkBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableNetwork<String, Integer> emptyNetwork = immutableNetworkBuilder.build();

        DefaultModelBuildingRequest request = new DefaultModelBuildingRequest();
        request.setModelSource(new FileModelSource(new File(
                getClass().getResource("/poms/depmgmt/root-two-imports.xml").getFile())));
        request.setModelResolver(new BaseModelResolver() {
            public ModelSource resolveModel(org.apache.maven.model.Dependency dependency)
                    throws UnresolvableModelException {

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = RANDOM_SOURCE.nextLong();
    if (dividend == -1) {
      return r;
    } else {

    ImmutableValueGraph.Builder<String, Integer> immutableValueGraphBuilder =
        graphBuilder.<String, Integer>immutable();

    // Update ValueGraphBuilder, but this shouldn't impact immutableValueGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableValueGraph<String, Integer> emptyGraph = immutableValueGraphBuilder.build();

   * @deprecated Prefer {@code asCharSource(file, charset).read()}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asCharSource(file, charset).read()",
      imports = "com.google.common.io.Files")
  public static String toString(File file, Charset charset) throws IOException {
    return asCharSource(file, charset).read();
  }

  /**

    ImmutableValueGraph.Builder<String, Integer> immutableValueGraphBuilder =
        graphBuilder.<String, Integer>immutable();

    // Update ValueGraphBuilder, but this shouldn't impact immutableValueGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableValueGraph<String, Integer> emptyGraph = immutableValueGraphBuilder.build();

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = RANDOM_SOURCE.nextLong();
    if (dividend == -1) {
      return r;
    } else {

        // These are part of the API, but not the DSL
        excludedPackages.add("org.gradle.tooling.**");
        excludedPackages.add("org.gradle.testfixtures.**");

        // Tweak the imports due to some inconsistencies introduced before we automated the default-imports generation
        excludedPackages.add("org.gradle.plugins.ide.eclipse.model");
        excludedPackages.add("org.gradle.plugins.ide.idea.model");

from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.
# pylint: disable=undefined-variable
del python
del core