// packaging type.
        for (Dependency dependency : dependencies) {
            String key = dependency.getGroupId() + ":" + dependency.getArtifactId() + ":" + dependency.getVersion()
                    + (dependency.getClassifier() != null ? ":" + dependency.getClassifier() : EMPTY);
            String mKey = m.getGroupId() + ":" + m.getArtifactId() + ":" + m.getVersion();

                Dependency dependency = new Dependency();

                dependency.setArtifactId(a.getArtifactId());
                dependency.setGroupId(a.getGroupId());
                dependency.setVersion(a.getVersion());
                dependency.setScope(a.getScope());
                dependency.setType(a.getType());
                dependency.setClassifier(a.getClassifier());

        for (Iterator<Dependency> it = depMgmt.getDependencies().iterator(); it.hasNext(); ) {
            Dependency dependency = it.next();

            if (!"pom".equals(dependency.getType()) || !"import".equals(dependency.getScope())) {
                continue;
            }

            it.remove();

            String groupId = dependency.getGroupId();

    ] = None,
    *,
    use_cache: Annotated[
        bool,
        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be
            re-used for the rest of the request.

    /* MNG-4005: postponed to 3.1
    public void testValidationErrorUponNonUniqueDependencyKey()
        throws Exception
    {
        try
        {
            buildPom( "unique-dependency-key/deps" );
            fail( "Non-unique dependency keys did not cause validation error" );
        }
        catch ( ProjectBuildingException e )
        {
            // expected
        }
    }

    @Test

                    Map<String, Artifact> tmp = new HashMap<>();
                    for (Dependency d : dependencyManagement.getDependencies()) {
                        Artifact artifact =
                                repositorySystem.createDependencyArtifact(new org.apache.maven.model.Dependency(d));
                        if (artifact != null) {
                            tmp.put(d.getManagementKey(), artifact);

                  {}, false);
}

TEST_F(CApiFunctionTest, ControlDependency) {
  /*
   *                  |  |    scalar
   *                  |  |    .
   *                  v  v   . <---- control dependency
   *                  add < -
   *                   |
   *                   v
   */
  // Define
  TF_Operation* feed1 = Placeholder(func_graph_, s_, "feed1");

                    if (pointer instanceof Lifecycle.DependenciesPointer) {
                        // For dependencies: ensure current project's phase starts after dependency's phase completes
                        // Example: project's compile starts after dependency's package completes
                        // TODO: String scope = ((Lifecycle.DependenciesPointer) pointer).scope();
                        projects.get(project)

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [
        "//tensorflow:tf_framework_version_script.lds",

  TF_DeleteBuffer(graph_def);
  graph_def = TF_NewBuffer();
  TF_GraphToGraphDef(graph, graph_def, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Import again, with remapped control dependency, into the same graph
  TF_DeleteImportGraphDefOptions(opts);
  opts = TF_NewImportGraphDefOptions();
  TF_ImportGraphDefOptionsSetPrefix(opts, "imported4");