There are a number of approaches.
What I'd usually recommend instead, is using well thought out repeat(n)
expressions with directly exposed container attributes (like vector<vector<double> >
).
What you seem to be looking for is semantic actions with state. (This is common practice coming from lex/yacc).
I treat these approaches in three full demos below (1., 2. and 3.)
- An advanced technique is using customization points to allow Spirit to directly treat your
Matrix
type as a container attribute and override the insertion logic for it using spirit::traits
. For this approach I refer to this answer: pass attribute to child rule in boost spirit.
Here is a relatively straightforward approach:
parsing directly into a vector<vector<double> >
(full code live online)
qi::rule<It, Matrix::value_type(size_t cols), qi::blank_type> row;
qi::rule<It, Matrix(size_t rows,size_t cols), qi::blank_type> matrix;
row %= skip(char_(" \t,")) [ repeat(_r1) [ double_ ] ];
matrix %= eps // [ std::cout << phx::val("debug: ") << _r1 << ", " << _r2 << "\n" ]
>> repeat(_r1) [ row(_r2) >> (eol|eoi) ];
Usage:
if (qi::phrase_parse(f,l,parser(10, 4),qi::blank, m))
std::cout << "Wokay\n";
else
std::cerr << "Uhoh\n";
Similarly, but adapting a Matrix
struct (full code live here)
struct Matrix
{
Matrix(size_t rows, size_t cols) : _cells(), _rows(rows), _cols(cols) { }
double & data(size_t col, size_t row) { return _cells.at(row).at(col); }
const double & data(size_t col, size_t row) const { return _cells.at(row).at(col); }
size_t columns() const { return _cols; }
size_t rows() const { return _rows; }
std::vector<std::vector<double> > _cells;
size_t _rows, _cols;
};
BOOST_FUSION_ADAPT_STRUCT(Matrix, (std::vector<std::vector<double> >,_cells))
Usage
Matrix m(10, 4);
if (qi::phrase_parse(f,l,parser(m.rows(),m.columns()),qi::blank, m))
std::cout << "Wokay\n";
else
std::cerr << "Uhoh\n";
Using semantic actions/qi::locals
3. This is more work, but potentially more flexible. You'd define a polymorphic callable type to insert a value at a given cell:
struct MatrixInsert
{
template <typename, typename, typename, typename> struct result { typedef bool type; };
template <typename Matrix, typename Row, typename Col, typename Value>
bool operator()(Matrix &m, Row& r, Col& c, Value v) const
{
if (r < m.rows() && c < m.columns())
{
m.data(r, c++) = v;
return true; // parse continues
}
return false; // fail the parse
}
};
BOOST_PHOENIX_ADAPT_CALLABLE(matrix_insert, MatrixInsert, 4)
The last line makes this a phoenix
lazy function, so you can use it without weird bind syntax in your semantic actions:
qi::rule<It, Matrix(), qi::blank_type, qi::locals<size_t /*_a: row*/, size_t/*_b: col*/> > matrix;
matrix = eps [ _a = 0 /*current row*/ ]
>> (
eps [ _b = 0 /*current col*/ ]
>> double_ [ _pass = matrix_insert(_val, _a, _b, _1) ] % ','
) % (eol [ ++_a /*next row*/])
;
Full code is, again live on liveworkspace.org