EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const char dev0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0";
  const char dev1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0";

  TFE_TensorHandle* var_handle0 = TestVariable(ctx, 1.0, dev0_name);
  EXPECT_NE(var_handle0, nullptr);
  TFE_TensorHandle* var_handle1 = TestVariable(ctx, 2.0, dev1_name);
  EXPECT_NE(var_handle1, nullptr);

                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());
  const char dev2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0";

  if (inject_error) {
    // Inject a function optimization pass failure when it sees the
    // 'read0_maybe_with_graph_error' op having a requested device `dev2_name`.
    // During execution:
    //   * task:0 processes main function `VariableAddFunctionWithGraphError`

        id: generate_release_notes
        uses: release-drafter/release-drafter@v6
        with:
          config-name: 'release-drafter.yml'
          name: "Release ${{ github.ref_name }}"
          tag: ${{ github.ref_name }}
          publish: true
          prerelease: false
        env:

)

const (
	mysqlTableExists = `SELECT 1 FROM %s;`
	// Some MySQL has a 3072 byte limit on key sizes.
	mysqlCreateNamespaceTable = `CREATE TABLE %s (
             key_name VARCHAR(3072) NOT NULL,
             key_hash CHAR(64) GENERATED ALWAYS AS (SHA2(key_name, 256)) STORED NOT NULL PRIMARY KEY,
             value JSON)
           CHARACTER SET = utf8mb4 COLLATE = utf8mb4_bin ROW_FORMAT = Dynamic;`

  // Create an abstract tensor handle from tensorflow::Tensor.
  virtual ImmediateExecutionTensorHandle* CreateLocalHandleFromTFTensor(
      tensorflow::Tensor& t, const char* d_name) = 0;

  // Convert a TFRT TensorHandle to tensorflow::TensorHandle.
  virtual ImmediateExecutionTensorHandle* TFTensorHandleFromInterface(
      ImmediateExecutionTensorHandle* handle) = 0;

  }
  absl::Status SetAttrFunctionName(const char* attr_name, const char* value,
                                   size_t length) override {
    tensorflow::NameAttrList func_name;
    func_name.set_name(string(value, value + length));
    op_->node_builder.Attr(attr_name, func_name);
    return absl::OkStatus();
  }
  absl::Status SetAttrTensor(const char* attr_name,

        Files.writeString(mvn.resolve("env-test.properties"), "\n");

        // Arrange
        CliRequest request = new CliRequest(
                new String[] {
                    "-DenvName=test",
                    "-Dfoo=bar",
                    "-DvalFound=s${foo}i",
                    "-DvalNotFound=s${foz}i",
                    "-DvalRootDirectory=${session.rootDirectory}/.mvn/foo",

  using tensorflow::shape_inference::ShapeHandle;

  const int num_inputs = input_shapes->num_items;
  NodeDef node_def;
  tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op);
  node_def.set_name(op->Name());
  node_def.set_op(op->Name());
  for (int i = 0; i < num_inputs; ++i) {
    node_def.add_input("dummy_input");
  }
  OperationFromInterface(op)->Attrs().FillAttrValueMap(node_def.mutable_attr());

    protected Map<String, NameMapper> createNameMappers() {
        HashMap<String, NameMapper> result = new HashMap<>();
        result.put(NameMappers.STATIC_NAME, NameMappers.staticNameMapper());
        result.put(NameMappers.GAV_NAME, NameMappers.gavNameMapper());
        result.put(NameMappers.DISCRIMINATING_NAME, NameMappers.discriminatingNameMapper());
        result.put(NameMappers.FILE_GAV_NAME, NameMappers.fileGavNameMapper());

    protected Map<String, NameMapper> createNameMappers() {
        HashMap<String, NameMapper> result = new HashMap<>();
        result.put(NameMappers.STATIC_NAME, NameMappers.staticNameMapper());
        result.put(NameMappers.GAV_NAME, NameMappers.gavNameMapper());
        result.put(NameMappers.DISCRIMINATING_NAME, NameMappers.discriminatingNameMapper());
        result.put(NameMappers.FILE_GAV_NAME, NameMappers.fileGavNameMapper());