+ push @vershown, \@verrow if @verrow; # always add latest
+ @$verlist = @vershown;
+ }
+ else {
+ @$verlist = map { [$_] } @$verlist;
+ }
+
+ # reusable aggregates (grouped by prefix (engine) and browser)
+ $engineuse{ $caniuse->{agents}->{$browser}->{prefix} } +=
+ $row->{-total} = sum(values %$row);
+ }
+
+ # order browser columns by usage grouped by engine
+ @browsers = sort {
+ $engineuse{ $caniuse->{agents}->{$b}->{prefix} } <=>
+ $engineuse{ $caniuse->{agents}->{$a}->{prefix} }
+ ||
+ $canihas->{$b}->{-total} <=> $canihas->{$a}->{-total}
+ } keys %versions;
+}
+else {
+ # order browser columns by name grouped by engine
+ @{$_} = map { [$_] } @{$_} for values %versions;
+ @browsers = sort {
+ $caniuse->{agents}->{$b}->{prefix} cmp
+ $caniuse->{agents}->{$a}->{prefix}
+ ||
+ $a cmp $b
+ } keys %versions;
+}
+:>.
+</p>
+
+<:
+$canihas ||= {
+ map {
+ $_ => +{
+ map {
+ my $zero = $#$_ - 2; # baseline index
+ ($_->[$zero - 2] => .5), # past
+ ($_->[$zero - 1] => 10 ), # previous
+ ($_->[$zero + 2] => 0 ), # future
+ ($_->[$zero + 1] => .5), # next
+ ($_->[$zero ] => 30 ), # current
+ } $caniuse->{agents}->{$_}->{versions}
+ }
+ } @browsers
+}; # fallback hash based on release semantics
+
+# score multiplier for percentage of all browser versions
+my $usagepct = 99.99 / sum(
+ map { $_->{-total} // values %{$_} } values %{$canihas}
+);
+
+$_->{usage} = featurescore($_->{stats}) * $usagepct
+ for values %{ $caniuse->{data} };