class CSession {
 public:
  CSession(TF_Graph* graph, TF_Status* s, bool use_XLA = false);
  explicit CSession(TF_Session* session);

  ~CSession();

  void SetInputs(std::vector<std::pair<TF_Operation*, TF_Tensor*>> inputs);
  void SetOutputs(std::initializer_list<TF_Operation*> outputs);
  void SetOutputs(const std::vector<TF_Output>& outputs);

CSession::~CSession() {
  TF_Status* s = TF_NewStatus();
  CloseAndDelete(s);
  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteStatus(s);
}

void CSession::SetInputs(
    std::vector<std::pair<TF_Operation*, TF_Tensor*>> inputs) {
  DeleteInputValues();
  inputs_.clear();
  for (const auto& p : inputs) {
    inputs_.emplace_back(TF_Output{p.first, 0});

  // Create a session for this graph.
  CSession csession(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Run the graph.
  csession.SetInputs({{feed, Int32Tensor(3)}});
  csession.SetOutputs({add});
  csession.Run(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);

    // Create a session for this graph
    CSession csession(host_graph_, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

    // Run
    csession.SetInputs(inputs);
    csession.SetOutputs(outputs);
    csession.Run(s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

    // Check results
    for (int i = 0; i < expected_results.size(); ++i) {

        assertEquals("b2", itemList.get(1).getInputs()[1]);
        assertEquals("B1", itemList.get(1).getOutputs()[0]);
        assertFalse(itemList.get(1).isUpdated());

        assertEquals(1, itemList.get(2).getInputs().length);
        assertEquals(2, itemList.get(2).getOutputs().length);
        assertEquals("c1", itemList.get(2).getInputs()[0]);

        assertEquals(1, synonymItem.getId());
        assertEquals(2, synonymItem.getInputs().length);
        assertEquals("a", synonymItem.getInputs()[0]);
        assertEquals("A", synonymItem.getInputs()[1]);
        assertEquals(2, synonymItem.getOutputs().length);
        assertEquals("b", synonymItem.getOutputs()[0]);

        tasks.named("test", Test.class).configure(task -> {
            task.getInputs().file(extension.getReleaseNotes().getRenderedDocumentation()).withPropertyName("releaseNotes").withPathSensitivity(PathSensitivity.NONE);

            task.getInputs().property("systemProperties", Collections.emptyMap());
            // TODO: This breaks the provider

        return newOutput;
    }

    public void setNewOutput(final String newOutput) {
        this.newOutput = newOutput == null ? null : newOutput.replace("\n", " ");
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {
        if (inputs == null) {
            return StringUtil.EMPTY;
        }
        return String.join("\n", inputs);
    }

    }

    public String[] getNewOutputs() {
        return newOutputs;
    }

    public void setNewOutputs(final String[] newOutputs) {
        this.newOutputs = newOutputs;
    }

    public String[] getInputs() {
        return inputs;
    }

    public String getInputsValue() {
        if (inputs == null) {
            return StringUtil.EMPTY;
        }
        return String.join("\n", inputs);
    }

class ImmediateExecutionOperation : public AbstractOperation {
 public:
  virtual void Clear() = 0;

  // Returns the inputs of this op.
  virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs()
      const = 0;
  virtual Status SetInput(size_t index,
                          ImmediateExecutionTensorHandle* input) = 0;

  virtual ImmediateExecutionContext* GetContext() const = 0;