Sha256: 3b4dfa74333f3f306c081da5a2794e73a51e54a4b5f8acd8e5f661ff7a86698b
Contents?: true
Size: 1.51 KB
Versions: 9
Compression:
Stored size: 1.51 KB
Contents
<% (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 (keyword) Affected dimensions.
@param [TrueClass] keepdims (keyword) 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 %>
}
Version data entries
9 entries across 9 versions & 1 rubygems