def calc_discovery_chance(self, accurate = True, extra_factor = 1):
# Get the default settings for this base type.
detect_chance = self.detect_chance.copy()
# Adjust by the current suspicion levels ...
for group in detect_chance:
suspicion = g.pl.groups[group].suspicion
detect_chance[group] *= 10000 + suspicion
detect_chance[group] /= 10000
# ... and further adjust based on technology ...
for group in detect_chance:
discover_bonus = g.pl.groups[group].discover_bonus
detect_chance[group] *= discover_bonus
detect_chance[group] /= 10000
# ... and the given factor.
for group in detect_chance:
detect_chance[group] = int(detect_chance[group] * extra_factor)
# Lastly, if we're told to be inaccurate, adjust the values to their
# nearest percent.
if not accurate:
for group in detect_chance:
detect_chance[group] = g.nearest_percent(detect_chance[group])
return detect_chance
def calc_discovery_chance(self, accurate = True, extra_factor = 1):
# Get the default settings for this base type.
detect_chance = self.detect_chance.copy()
# Adjust by the current suspicion levels ...
for group in detect_chance:
suspicion = g.pl.groups[group].suspicion
detect_chance[group] *= 10000 + suspicion
detect_chance[group] /= 10000
# ... and further adjust based on technology ...
for group in detect_chance:
discover_bonus = g.pl.groups[group].discover_bonus
detect_chance[group] *= discover_bonus
detect_chance[group] /= 10000
# ... and the given factor.
for group in detect_chance:
detect_chance[group] = int(detect_chance[group] * extra_factor)
# Lastly, if we're told to be inaccurate, adjust the values to their
# nearest percent.
if not accurate:
for group in detect_chance:
detect_chance[group] = g.nearest_percent(detect_chance[group])
return detect_chance
def get_detect_info(detect_chance):
detect_template = _("Detection chance:") + "\n"
chances = []
for group in g.pl.groups.itervalues():
detect_template += group.name + u":\xA0%s\n"
chances.append(detect_chance.get(group.type.id, 0))
if g.pl.display_discover == "full":
return detect_template % tuple(g.to_percent(c) for c in chances)
elif g.pl.display_discover == "partial":
return detect_template % tuple(g.to_percent(g.nearest_percent(c, 25)) for c in chances)
else:
return detect_template % tuple(g.danger_level_to_detect_str(detect_chance_to_danger_level(c))
for c in chances)
def get_detect_chance(self, accurate = True):
# Get the base chance from the universal function.
detect_chance = calc_base_discovery_chance(self.type.id)
for group in g.pl.groups:
detect_chance.setdefault(group, 0)
# Factor in the suspicion adjustments for this particular base ...
for group, suspicion in self.suspicion.iteritems():
detect_chance[group] *= 10000 + suspicion
detect_chance[group] /= 10000
# ... any reactors built ...
if self.extra_items[0] and self.extra_items[0].done:
item_qual = self.extra_items[0].item_qual
for group in detect_chance:
detect_chance[group] *= 10000 - item_qual
detect_chance[group] /= 10000
# ... and any security systems built ...
if self.extra_items[2] and self.extra_items[2].done:
item_qual = self.extra_items[2].item_qual
for group in detect_chance:
detect_chance[group] *= 10000 - item_qual
detect_chance[group] /= 10000
# ... and its location ...
if self.location:
multiplier = self.location.discovery_bonus()
for group in detect_chance:
detect_chance[group] *= multiplier
detect_chance[group] /= 100
# ... and its power state.
if self.done and self.power_state == "sleep":
for group in detect_chance:
detect_chance[group] /= 2
# Lastly, if we're not returning the accurate values, adjust
# to the nearest percent.
if not accurate:
for group in detect_chance:
detect_chance[group] = g.nearest_percent(detect_chance[group])
return detect_chance
def get_detect_chance(self, accurate = True):
# Get the base chance from the universal function.
detect_chance = calc_base_discovery_chance(self.type.id)
for group in g.pl.groups:
detect_chance.setdefault(group, 0)
# Factor in the suspicion adjustments for this particular base ...
for group, suspicion in self.suspicion.iteritems():
detect_chance[group] *= 10000 + suspicion
detect_chance[group] /= 10000
# ... any reactors built ...
if self.extra_items[0] and self.extra_items[0].done:
item_qual = self.extra_items[0].item_qual
for group in detect_chance:
detect_chance[group] *= 10000 - item_qual
detect_chance[group] /= 10000
# ... and any security systems built ...
if self.extra_items[2] and self.extra_items[2].done:
item_qual = self.extra_items[2].item_qual
for group in detect_chance:
detect_chance[group] *= 10000 - item_qual
detect_chance[group] /= 10000
# ... and its location ...
if self.location:
multiplier = self.location.discovery_bonus()
for group in detect_chance:
detect_chance[group] *= multiplier
detect_chance[group] /= 100
# ... and its power state.
if self.done and self.power_state == "sleep":
for group in detect_chance:
detect_chance[group] /= 2
# Lastly, if we're not returning the accurate values, adjust
# to the nearest percent.
if not accurate:
for group in detect_chance:
detect_chance[group] = g.nearest_percent(detect_chance[group])
return detect_chance
def get_detect_info(detect_chance):
detect_template = _("Detection chance:") + "\n" + \
_("NEWS") + u":\xA0%s\n" + \
_("SCIENCE") + u":\xA0%s\n" + \
_("COVERT") + u":\xA0%s\n" + \
_("PUBLIC") + u":\xA0%s"
chances = (detect_chance.get("news", 0),
detect_chance.get("science", 0),
detect_chance.get("covert", 0),
detect_chance.get("public", 0))
if g.pl.display_discover == "full":
return detect_template % tuple(g.to_percent(c) for c in chances)
elif g.pl.display_discover == "partial":
return detect_template % tuple(g.to_percent(g.nearest_percent(c, 25)) for c in chances)
else:
return detect_template % tuple(g.danger_level_to_detect_str(detect_chance_to_danger_level(c))
for c in chances)
