memcpy(TF_TensorData(t), values, sizeof(char) * num_values);
  return t;
}

TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
                       const int32_t* values) {
  int64_t num_values = 1;
  for (int i = 0; i < num_dims; ++i) {
    num_values *= dims[i];
  }
  TF_Tensor* t =
      TF_AllocateTensor(TF_INT32, dims, num_dims, sizeof(int32_t) * num_values);

        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() {

        }
        SmbFileHandleImpl o = (SmbFileHandleImpl) obj;

        if ( this.fileId != null ) {
            return Arrays.equals(this.fileId, o.fileId) && this.tree_num == o.tree_num;
        }
        return this.fid == o.fid && this.tree_num == o.tree_num;
    }

@RunWith(JUnit4.class)

public final class GraphMutationTest {
  private static final int NUM_TRIALS = 50;
  private static final int NUM_NODES = 100;
  private static final int NUM_EDGES = 1000;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedGraph() {
    testGraphMutation(GraphBuilder.directed());
  }

  @Test

        assertEquals(1, restrictions.size(), CHECK_NUM_RESTRICTIONS);

        VersionRange version = VersionRange.createFromVersion("1.0");
        assertSame(version, VersionRange.createFromVersion("1.0")); // same instance from version cache
        restrictions = version.getRestrictions();
        assertEquals(0, restrictions.size(), CHECK_NUM_RESTRICTIONS);

        assertFalse(

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) {

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();
}

                           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();

  virtual Status SetAttrTypeList(const char* attr_name, const DataType* values,
                                 int num_values) = 0;
  virtual Status SetAttrBoolList(const char* attr_name,
                                 const unsigned char* values,
                                 int num_values) = 0;
  virtual Status SetAttrShapeList(const char* attr_name, const int64_t** dims,

                         int num_shapes) {
  std::vector<PartialTensorShape> shapes;
  shapes.reserve(num_shapes);
  for (int i = 0; i < num_shapes; ++i) {
    if (num_dims[i] < 0) {
      shapes.emplace_back();
    } else {
      shapes.emplace_back(ArraySlice<int64_t>(
          reinterpret_cast<const int64_t*>(dims[i]), num_dims[i]));
    }
  }