Jyrki Vesterinen 3b26cc15e3 Damage prediction: round very close slow probabilities to 0 or 1
In the case in bug #3321, damage prediction code somehow receives a
combatant whose probability to be slowed is very close to one of those
values but not quite it. I couldn't figure out how it's possible because
only damage prediction code itself is supposed to emit slow probabilities,
and it's not producing such a probability in this case.

Without more information, I'm simply fixing the bug by force. If the
probability is in the problematic area, we simply round it to 0 or 1. This
way such probabilities are impossible later on when we try to scale the HP
distributions so that they add to 1.

Fixes #3321.

(cherry-picked from commit 00d8548c24a70365f1b02116e129c8835dff206a)
2018-10-07 03:23:14 +00:00
2018-10-07 03:23:13 +00:00
2018-10-07 03:19:55 +00:00
2018-10-07 03:23:06 +00:00
2018-10-07 03:23:09 +00:00
2018-10-07 03:23:11 +00:00
2018-10-07 03:19:30 +00:00

Build Status Build status License: GPL v2 Coverity Scan

About

The Battle for Wesnoth is an Open Source, turn-based tactical strategy game with a high fantasy theme, featuring both singleplayer and online/hotseat multiplayer combat. Fight a desperate battle to reclaim the throne of Wesnoth, or take hand in any number of other adventures.

License

Please see the wiki for information regarding The Battle for Wesnoth's licensing:

https://wiki.wesnoth.org/Wesnoth:Copyrights

Installing

See INSTALL.md for instructions on how to build the game from source code.

More Information

For extensive documentation about all aspects of the game, see the official Battle for Wesnoth web site.

https://www.wesnoth.org/

A (translated) description of how to play the game can be found in doc/manual/manual.*.html, or online at:

https://wiki.wesnoth.org/WesnothManual

The official Battle for Wesnoth Forums (with over 400,000 posts from more than 20,000 registered members) can be found at:

https://forums.wesnoth.org/

Description
韦诺之战
Readme 10 GiB
Languages
INI 51.6%
C++ 35.9%
Lua 5.7%
Python 4.3%
Emacs Lisp 1%
Other 1.1%