@RunWith(JUnit4.class)

public final class NetworkMutationTest {
  private static final int NUM_TRIALS = 5;
  private static final int NUM_NODES = 20;
  private static final int NUM_EDGES = 100;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedNetwork() {
    testNetworkMutation(NetworkBuilder.directed());
  }

  @Test

  return op_->SetAttrTypeList(attr_name, values, num_values);
}
Status SetAttrBoolList(AbstractOperation* op_, const char* attr_name,
                       const unsigned char* values, int num_values,
                       ForwardOperation* forward_op_) {
  std::unique_ptr<bool[]> b(new bool[num_values]);
  for (int i = 0; i < num_values; ++i) {
    b[i] = values[i];
  }

        final byte[] outData = new byte[num * 3 + lastBytes];
        for (int i = 0; i < num; i++) {
            decode(inData, i * 4, outData, i * 3);
        }
        switch (lastBytes) {
        case 1:
            decode1byte(inData, num * 4, outData, num * 3);
            break;
        case 2:
            decode2byte(inData, num * 4, outData, num * 3);
            break;
        default:

@RunWith(JUnit4.class)

public final class NetworkMutationTest {
  private static final int NUM_TRIALS = 5;
  private static final int NUM_NODES = 20;
  private static final int NUM_EDGES = 100;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedNetwork() {
    testNetworkMutation(NetworkBuilder.directed());
  }

  @Test

  int64_t num_elem_analytical = 1;
  auto num_dims_analytical = TF_NumDims(analytical_tensor);
  ASSERT_EQ(dims.size(), num_dims_analytical);
  for (int j = 0; j < num_dims_analytical; j++) {
    auto dim_analytical = TF_Dim(analytical_tensor, j);
    ASSERT_EQ(dims[j], dim_analytical);
    num_elem_analytical *= dim_analytical;
  }

  float* danalytical = new float[num_elem_analytical]{0};

        final Map<String, Object> searchBody = createSearchBody(SEARCH_ALL_NUM);
        checkGetMethod(searchBody, getListEndpointSuffix()).then().body(getJsonPath() + ".size()", equalTo(NUM));
    }

    protected void testRead() {
        // Test: get settings api.
        final Map<String, Object> searchBody = createSearchBody(SEARCH_ALL_NUM);
        List<String> nameList = getPropList(searchBody, getKeyProperty());

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        if (num == null) {
            num = fessConfig.getPagingSearchPageSizeAsInteger();
        }
        if (num > fessConfig.getPagingSearchPageMaxSizeAsInteger().intValue() || num <= 0) {
            num = fessConfig.getPagingSearchPageMaxSizeAsInteger();
        }
        return num;
    }

    @Override
    public String[] getLanguages() {

TF_ShapeAndTypeList* TF_NewShapeAndTypeList(int num_items) {
  TF_ShapeAndTypeList* result = new TF_ShapeAndTypeList;
  result->num_items = num_items;
  result->items = (num_items == 0) ? nullptr : new TF_ShapeAndType[num_items]();
  return result;
}

void TF_ShapeAndTypeListSetShape(TF_ShapeAndTypeList* shape_list, int index,
                                 const int64_t* dims, int num_dims) {

                           ArraySlice<const bool>(b.get(), num_values));

    return absl::OkStatus();
  }
  Status SetAttrShapeList(const char* attr_name, const int64_t** dims,
                          const int* num_dims, int num_values) override {
    std::vector<PartialTensorShape> shapes;
    shapes.reserve(num_values);
    for (int i = 0; i < num_values; ++i) {
      if (num_dims[i] < 0) {
        shapes.emplace_back();

void TF_DeleteOutputList(TF_OutputList* o) { delete unwrap(o); }
void TF_OutputListSetNumOutputs(TF_OutputList* o, int num_outputs,
                                TF_Status* s) {
  unwrap(o)->expected_num_outputs = num_outputs;
  unwrap(o)->outputs.clear();
  unwrap(o)->outputs.resize(num_outputs);
}
int TF_OutputListNumOutputs(TF_OutputList* o) {
  return unwrap(o)->outputs.size();
}