<% (is_float ? ["","_nan"] : [""]).each do |j| %> static void <%=c_iter%><%=j%>(na_loop_t *const lp) { size_t n; char *p1, *p2; ssize_t s1; INIT_COUNTER(lp, n); INIT_PTR(lp, 0, p1, s1); p2 = lp->args[1].ptr + lp->args[1].iter[0].pos; *(<%=dtype%>*)p2 = f_<%=name%><%=j%>(n,p1,s1); } <% end %> /* <%=name%> of self. <% if is_float %> @overload <%=name%>(axis:nil, keepdims:false, nan:false) @param [TrueClass] nan If true, apply NaN-aware algorithm (avoid NaN for sum/mean etc, or, return NaN for min/max etc). <% else %> @overload <%=name%>(axis:nil, keepdims:false) <% end %> @param [Numeric,Array,Range] axis Performs <%=name%> along the axis. @param [TrueClass] keepdims If true, the reduced axes are left in the result array as dimensions with size one. @return [Numo::<%=class_name%>] returns result of <%=name%>. */ static VALUE <%=c_func(-1)%>(int argc, VALUE *argv, VALUE self) { VALUE v, reduce; ndfunc_arg_in_t ain[2] = {{cT,0},{sym_reduce,0}}; ndfunc_arg_out_t aout[1] = {{<%=result_class%>,0}}; ndfunc_t ndf = { <%=c_iter%>, STRIDE_LOOP_NIP|NDF_FLAT_REDUCE, 2, 1, ain, aout }; <% if is_float %> reduce = na_reduce_dimension(argc, argv, 1, &self, &ndf, <%=c_iter%>_nan); <% else %> reduce = na_reduce_dimension(argc, argv, 1, &self, &ndf, 0); <% end %> v = na_ndloop(&ndf, 2, self, reduce); <% if result_class == "cT" %> return <%=type_name%>_extract(v); <% else %> return rb_funcall(v,rb_intern("extract"),0); <% end %> }