Andreas/mtg_python_deckbuilder
1
0
Fork 0
mirror of https://github.com/mwisnowski/mtg_python_deckbuilder.git synced 2025-12-16 15:40:12 +01:00
Code Issues Projects Releases Packages Wiki Activity Actions

feat(themes): whitelist governance, synergy cap, docs + tests; feat(random): laid roadwork for random implementation, testing in headless confirmed

Browse source
This commit is contained in:
matt 2025-09-17 13:23:27 -07:00
parent 03e839fb87
commit 16261bbf09
34 changed files with 12594 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

8
code/deck_builder/phases/phase3_creatures.py
View file

@ -121,7 +121,7 @@ class CreatureAdditionMixin:
if owned_lower and str(nm).lower() in owned_lower:
w *= owned_mult
weighted_pool.append((nm, w))
chosen_all = bu.weighted_sample_without_replacement(weighted_pool, target_cap)
chosen_all = bu.weighted_sample_without_replacement(weighted_pool, target_cap, rng=getattr(self, 'rng', None))
for nm in chosen_all:
if commander_name and nm == commander_name:
continue
@ -201,7 +201,7 @@ class CreatureAdditionMixin:
if owned_lower and str(nm).lower() in owned_lower:
base_w *= owned_mult
weighted_pool.append((nm, base_w))
chosen = bu.weighted_sample_without_replacement(weighted_pool, target)
chosen = bu.weighted_sample_without_replacement(weighted_pool, target, rng=getattr(self, 'rng', None))
for nm in chosen:
if commander_name and nm == commander_name:
continue
@ -507,7 +507,7 @@ class CreatureAdditionMixin:
return
synergy_bonus = getattr(bc, 'THEME_PRIORITY_BONUS', 1.2)
weighted_pool = [(nm, (synergy_bonus if mm >= 2 else 1.0)) for nm, mm in zip(pool['name'], pool['_multiMatch'])]
chosen = bu.weighted_sample_without_replacement(weighted_pool, target)
chosen = bu.weighted_sample_without_replacement(weighted_pool, target, rng=getattr(self, 'rng', None))
added = 0
for nm in chosen:
row = pool[pool['name']==nm].iloc[0]
@ -621,7 +621,7 @@ class CreatureAdditionMixin:
if owned_lower and str(nm).lower() in owned_lower:
w *= owned_mult
weighted_pool.append((nm, w))
chosen_all = bu.weighted_sample_without_replacement(weighted_pool, target_cap)
chosen_all = bu.weighted_sample_without_replacement(weighted_pool, target_cap, rng=getattr(self, 'rng', None))
added = 0
for nm in chosen_all:
row = subset_all[subset_all['name'] == nm].iloc[0]