The puppy was happy to see the numbers on the :@0.252063:0.137985:0.918403:0.137985:0.918403:0.113403:0.252063:0.113403:0.018825:0.017524:0.015492:0.007676:0.017651:0.017524:0.017651:0.017207:0.016000:0.007686:0.023995:0.015492:0.013651:0.007691:0.017524:0.015492:0.017651:0.017201:0.016000:0.007686:0.010460:0.016857:0.007686:0.013651:0.015492:0.015492:0.007671:0.010730:0.017524:0.015492:0.007691:0.017714:0.017524:0.026413:0.017365:0.015492:0.013143:0.013651:0.007682:0.016857:0.017714:0.007691:0.010730:0.017524:0.015492:0.006984
leaves. Help him to fill the numbers   to   in the :@0.252060:0.166803:0.918402:0.166803:0.918402:0.142221:0.252060:0.142221:0.008635:0.015492:0.014862:0.015376:0.015492:0.013651:0.006508:0.008373:0.021810:0.015492:0.008635:0.017651:0.008358:0.017524:0.008825:0.026413:0.008379:0.010460:0.016857:0.008384:0.009619:0.008825:0.008635:0.008635:0.008341:0.010730:0.017524:0.015492:0.008389:0.017714:0.017524:0.026413:0.017365:0.015492:0.013143:0.013651:0.006984:0.018973:0.008389:0.010460:0.016857:0.006984:0.018976:0.008389:0.008825:0.017714:0.008390:0.010730:0.017524:0.015492:0.006984
blanks.:@0.252057:0.195621:0.347846:0.195621:0.347846:0.171039:0.252057:0.171039:0.017365:0.008635:0.015492:0.017714:0.016424:0.013651:0.006508
1:@0.745108:0.166803:0.762695:0.166803:0.762695:0.142221:0.745108:0.142221:0.017587
9:@0.806775:0.166803:0.824362:0.166803:0.824362:0.142221:0.806775:0.142221:0.017587
Number fun:@0.614169:0.098379:0.913585:0.098379:0.913585:0.069127:0.614169:0.069127:0.034108:0.032057:0.041448:0.027254:0.027686:0.028117:0.015003:0.027578:0.032057:0.034108
Number fun:@0.614169:0.098379:0.913585:0.098379:0.913585:0.069127:0.614169:0.069127:0.034108:0.032057:0.041448:0.027254:0.027686:0.028117:0.015003:0.027578:0.032057:0.034108
20:@0.094441:0.943673:0.113755:0.943673:0.113755:0.928923:0.094441:0.928923:0.009657:0.009657
Maths–:@0.810837:0.940536:0.850824:0.940536:0.850824:0.930703:0.810837:0.930703:0.011098:0.006273:0.004406:0.006819:0.005067:0.006324
Pre-Primer:@0.850693:0.940536:0.907747:0.940536:0.907747:0.930703:0.850693:0.930703:0.006756:0.004521:0.006400:0.003886:0.006756:0.004521:0.003124:0.010172:0.006400:0.004521
Good:@0.661083:0.966039:0.691064:0.966039:0.691064:0.956207:0.661083:0.956207:0.009283:0.006883:0.006883:0.006933
Very Good:@0.736722:0.966039:0.793853:0.966039:0.793853:0.956207:0.736722:0.956207:0.006837:0.006463:0.004846:0.005384:0.003619:0.009283:0.006883:0.006883:0.006933
Excellent:@0.842024:0.966039:0.889935:0.966039:0.889935:0.956207:0.842024:0.956207:0.006997:0.005473:0.005968:0.006463:0.002908:0.002908:0.006463:0.006997:0.003733
4:@0.532592:0.498905:0.555144:0.498905:0.555144:0.469407:0.532592:0.469407:0.022552
7:@0.517047:0.603221:0.539599:0.603221:0.539599:0.573723:0.517047:0.573723:0.022552