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arrays : fix matrix = scalar for complex types
Pb : M() = rhs; // rhs of type RHS Currenlty does : M(i,j) = (i==j ? rhs : RHS{}) Changed to M(i,j) = (i==j ? rhs : RHS{0*rhs}) If RHS is a double, int ... Same result. If RHS is a matrix, gf, currently the offdiag elements are default constructed (i.e. of 0 size !). Which can break operations later (matrix<matrix<double>>) After change : all elements have the same size !
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@ -139,8 +139,12 @@ namespace triqs { namespace arrays {
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typedef typename LHS::value_type value_type;
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LHS & lhs; const RHS & rhs;
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impl(LHS & lhs_, const RHS & rhs_): lhs(lhs_), rhs(rhs_){} //, p(*(lhs_.data_start())) {}
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// we MUST make off_diag like this, if value_type is a complicated type (i.e. gf, matrix) with a size
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// off diagonal element is 0*rhs, i.e. a 0, but with the SAME SIZE as the diagonal part.
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// otherwise further operation may fail later.
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// TO DO : look at performance issue ?? (we can remote the multiplication by 0 using an auxiliary function)
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template<typename ... Args>
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void operator()(Args const & ... args) const {_ops_<value_type, RHS, OP>::invoke(lhs(args...), (kronecker(args...) ? rhs : RHS()));}
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void operator()(Args const & ... args) const {_ops_<value_type, RHS, OP>::invoke(lhs(args...), (kronecker(args...) ? rhs : RHS{0*rhs}));}
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void invoke() { foreach(lhs,*this); }
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};
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