seer-v2.5.0

This release adds roughly 100 Elo in self play. The majority of this strength improvement can be attributed to a variety of miscellaneous optimizations and an improved network trained by way of several further self play training iterations. Additionally, time management was revisited with this release which should notably improve performance at shorter time controls. As with the prior release, the embedded network was trained solely on data originating from Seer produced by way of several self play iterations starting with the initial "retrograde learning" network bundled with v2.0.0-v2.1.0 as a base.

ELO   | 106.30 +- 2.93 (95%)
CONF  | 40.0+0.40s Threads=1 Hash=64MB
GAMES | N: 20000 W: 6913 L: 978 D: 12109

Thanks to everyone involved with the OpenBench project for making Seer's continued development feasible. Discussing various search ideas with fellow OpenBench engine authors proved invaluable in further improving Seer!