BornAgain

From the discussion with Jonathan and my wage remembering, it will be enough to use

Histogram2D(vector<vector<double>> data)

// instead of current
Histogram2D(const vector<vector<double>> &data)

So having a copy on the way from Python-numpy array transformation.

Test was fixed by requiring numpy array to be of type dtype=float64.

Also we've discovered, that there is no 'automatic-swig-way' to pass arbitrary numpy array into BornAgain, except float64 type.

The code below works for Python 2 and Python 3

// on C++ side
void fun(const std::vector<double>& data)

# on Python side
array = numpy.array([1, 2, 3], dtype=float64)
ba.fun(array)

The code below doesnt' work for both, Python2 and Python3.

// on C++ side
void fun(const std::vector<int>& data)

# on Python side
array = numpy.array([1, 2, 3], dtype=int32)
ba.fun(array)

The code below works for Python 2, but not for Python 3

// on C++ side
void fun(const std::vector<double>& data)

# on Python side
array = numpy.array([1, 2, 3], dtype=int64)
ba.fun(array)

In the future we will have to return to the subject. Typical use case: define numpy array of dtype=bool to represent detector masks, and pass it inside BornAgain.

Useful links

• https://bitbucket.org/fenics-project/dolfin

seems having very sophisticated swig bindings