def to_dense()

in tensorflow_graphics/projects/cvxnet/lib/libmise/mise.pyx [0:0]

• 24 lines of code
• 15 McCabe index (conditional complexity)

    def to_dense(self):
        """Output dense matrix at highest resolution."""
        out_array = np.full((self.resolution + 1,) * 3, np.nan)
        cdef double[:, :, :] out_view = out_array
        cdef GridPoint point
        cdef int i, j, k
        
        for point in self.grid_points:
            # Take voxel for which points is upper left corner
            # assert(point.known)
            out_view[point.loc.x, point.loc.y, point.loc.z] = point.value

        # Complete along x axis
        for i in range(1, self.resolution + 1):
            for j in range(self.resolution + 1):
                for k in range(self.resolution + 1):
                    if isnan(out_view[i, j, k]):
                        out_view[i, j, k] = out_view[i-1, j, k]

        # Complete along y axis
        for i in range(self.resolution + 1):
            for j in range(1, self.resolution + 1):
                for k in range(self.resolution + 1):
                    if isnan(out_view[i, j, k]):
                        out_view[i, j, k] = out_view[i, j-1, k]


        # Complete along z axis
        for i in range(self.resolution + 1):
            for j in range(self.resolution + 1):
                for k in range(1, self.resolution + 1):
                    if isnan(out_view[i, j, k]):
                        out_view[i, j, k] = out_view[i, j, k-1]
                    assert(not isnan(out_view[i, j, k]))
        return out_array