Files
pyfa/eos/effects/boostermodifyboostershieldpenalty.py

16 lines
803 B
Python

# boosterModifyBoosterShieldPenalty
#
# Used by:
# Implants named like: Eifyr and Co. 'Alchemist' Neurotoxin Control NC (2 of 2)
# Implants named like: grade Edge (10 of 12)
# Skill: Neurotoxin Control
type = "passive"
def handler(fit, container, context):
level = container.level if "skill" in context else 1
attrs = ("boosterShieldBoostAmountPenalty", "boosterShieldCapacityPenalty", "shieldBoostMultiplier")
for attr in attrs:
# shieldBoostMultiplier can be positive (Blue Pill) and negative value (other boosters)
# We're interested in decreasing only side-effects
fit.boosters.filteredItemBoost(lambda booster: booster.getModifiedItemAttr(attr) < 0,
attr, container.getModifiedItemAttr("boosterAttributeModifier") * level)