def distribute_specials(specials_freq, universe_objects):
"""
Adds start-of-game specials to universe objects.
"""
# get basic chance for occurrence of specials from the universe tables
# the values there are integers, so we have to divide them by 10,000 to get the actual basic probability value
basic_chance = float(fo.specials_frequency(specials_freq)) / 10000.0
if basic_chance <= 0:
return
# get a list with all specials that have a spawn rate and limit both > 0 and a location condition defined
# (no location condition means a special shouldn't get added at game start)
specials = [
sp for sp in fo.get_all_specials() if fo.special_spawn_rate(sp) > 0.0
and fo.special_spawn_limit(sp) > 0 and fo.special_has_location(sp)
]
if not specials:
return
# dump a list of all specials meeting that conditions and their properties to the log
print "Specials available for distribution at game start:"
for special in specials:
print "...", special, ": spawn rate", fo.special_spawn_rate(special),\
"/ spawn limit", fo.special_spawn_limit(special)
# attempt to apply a special to each universe object in the list that has been passed to this function
# by finding a special that can be applied to it and hasn't been added too many times, and then attempt
# to add that special by testing its spawn rate
repeat_rate = {1: 0.08, 2: 0.05, 3: 0.01, 4: 0.00}
for univ_obj in universe_objects:
# for this universe object, find a suitable special
# start by shuffling our specials list, so each time the specials are considered in a new random order
random.shuffle(specials)
num_here = 0
# then, consider each special until one has been found or we run out of specials
# (the latter case means that no special is added to this universe object)
for special in specials:
# check if the spawn limit for this special has already been reached (that is, if this special
# has already been added the maximal allowed number of times)
if statistics.specials_summary[special] >= fo.special_spawn_limit(
special):
# if yes, consider next special
continue
# check if this universe object matches the location condition for this special
# (meaning, if this special can be added to this universe object at all)
if not fo.special_location(special, univ_obj):
# if not, consider next special
continue
# we have found a special that meets all prerequisites
# now do the test if we want to add the selected special to this universe object by making a roll against
# the basic probability multiplied by the spawn rate of the special
if random.random() > basic_chance * fo.special_spawn_rate(special):
# no, test failed, break out of the specials loop and continue with the next universe object
statistics.specials_repeat_dist[num_here] += 1
break
num_here += 1
# all prerequisites and the test have been met, now add this special to this universe object
fo.add_special(univ_obj, special)
# increase the statistic counter for this special, so we can keep track of how often it has already
# been added (needed for the spawn limit test above, and to dump some statistics to the log later)
statistics.specials_summary[special] += 1
print "Special", special, "added to", fo.get_name(univ_obj)
# stop attempting to add specials here? give a small chance to try more than one special
if random.random() > repeat_rate.get(num_here, 0.0):
# sorry, no, break out of the specials loop and continue with the next universe object
statistics.specials_repeat_dist[num_here] += 1
break
else:
statistics.specials_repeat_dist[num_here] += 1
def generate_monsters(monster_freq, systems):
"""
Adds space monsters to systems.
"""
# first, calculate the basic chance for monster generation in a system
# based on the monster frequency that has been passed
# get the corresponding value for the specified monster frequency from the universe tables
inverse_monster_chance = fo.monster_frequency(monster_freq)
# as the value in the universe table is higher for a lower frequency, we have to invert it
# exception: a value of 0 means no monsters, in this case return immediately
if inverse_monster_chance <= 0:
return
basic_chance = 1.0 / float(inverse_monster_chance)
print "Default monster spawn chance:", basic_chance
expectation_tally = 0.0
actual_tally = 0
# get all monster fleets that have a spawn rate and limit both > 0 and at least one monster ship design in it
# (a monster fleet with no monsters in it is pointless) and store them with a spawn counter in a dict
# this counter will be set to the spawn limit initially and decreased every time the monster fleet is spawned
fleet_plans = {
fp: fp.spawn_limit()
for fp in fo.load_monster_fleet_plan_list(
"space_monster_spawn_fleets.txt") if fp.spawn_rate() > 0.0
and fp.spawn_limit() > 0 and fp.ship_designs()
}
# map nests to monsters for ease of reporting
nest_name_map = dict(
zip([
"KRAKEN_NEST_SPECIAL", "SNOWFLAKE_NEST_SPECIAL",
"JUGGERNAUT_NEST_SPECIAL"
], ["SM_KRAKEN_1", "SM_SNOWFLAKE_1", "SM_JUGGERNAUT_1"]))
tracked_plan_tries = {name: 0 for name in nest_name_map.values()}
tracked_plan_counts = {name: 0 for name in nest_name_map.values()}
tracked_plan_valid_locations = {
fp: 0
for fp, limit in fleet_plans.iteritems()
if fp.name() in tracked_plan_counts
}
tracked_nest_valid_locations = {nest: 0 for nest in nest_name_map}
if not fleet_plans:
return
# dump a list of all monster fleets meeting these conditions and their properties to the log
print "Monster fleets available for generation at game start:"
for fleet_plan in fleet_plans:
print "...", fleet_plan.name(), ": spawn rate", fleet_plan.spawn_rate(
),
print "/ spawn limit", fleet_plan.spawn_limit(),
print "/ effective chance", basic_chance * fleet_plan.spawn_rate(),
if len(systems) < 1000:
print "/ can be spawned at", len(
[s for s in systems if fleet_plan.location(s)]), "systems"
else:
print # to terminate the print line
if fleet_plan.name() in nest_name_map.values():
statistics.tracked_monsters_chance[
fleet_plan.name()] = basic_chance * fleet_plan.spawn_rate()
# for each system in the list that has been passed to this function, find a monster fleet that can be spawned at
# the system and which hasn't already been added too many times, then attempt to add that monster fleet by
# testing the spawn rate chance
for system in systems:
# collect info for tracked monster nest valid locations
for planet in fo.sys_get_planets(system):
for nest in tracked_nest_valid_locations:
#print "\t tracked monster check planet: %d size: %s for nest: %20s | result: %s" % (planet, fo.planet_get_size(planet), nest, fo.special_location(nest, planet))
if fo.special_location(nest, planet):
tracked_nest_valid_locations[nest] += 1
# collect info for tracked monster valid locations
for fp in tracked_plan_valid_locations:
if fp.location(system):
tracked_plan_valid_locations[fp] += 1
# filter out all monster fleets whose location condition allows this system and whose counter hasn't reached 0
suitable_fleet_plans = [
fp for fp, counter in fleet_plans.iteritems()
if counter and fp.location(system)
]
# if there are no suitable monster fleets for this system, continue with the next
if not suitable_fleet_plans:
continue
# randomly select one monster fleet out of the suitable ones and then test if we want to add it to this system
# by making a roll against the basic chance multiplied by the spawn rate of this monster fleet
expectation_tally += basic_chance * sum(
[fp.spawn_rate()
for fp in suitable_fleet_plans]) / len(suitable_fleet_plans)
fleet_plan = random.choice(suitable_fleet_plans)
if fleet_plan.name() in tracked_plan_tries:
tracked_plan_tries[fleet_plan.name()] += 1
if random.random() > basic_chance * fleet_plan.spawn_rate():
print "\t\t At system %4d rejected monster fleet %s from %d suitable fleets" % (
system, fleet_plan.name(), len(suitable_fleet_plans))
# no, test failed, continue with the next system
continue
actual_tally += 1
if fleet_plan.name() in tracked_plan_counts:
tracked_plan_counts[fleet_plan.name()] += 1
# all prerequisites and the test have been met, now spawn this monster fleet in this system
print "Spawn", fleet_plan.name(), "at", fo.get_name(system)
# decrement counter for this monster fleet
fleet_plans[fleet_plan] -= 1
# create monster fleet
monster_fleet = fo.create_monster_fleet(system)
# if fleet creation fails, report an error and try to continue with next system
if monster_fleet == fo.invalid_object():
util.report_error(
"Python generate_monsters: unable to create new monster fleet %s"
% fleet_plan.name())
continue
# add monsters to fleet
for design in fleet_plan.ship_designs():
# create monster, if creation fails, report an error and try to continue with the next design
if fo.create_monster(design, monster_fleet) == fo.invalid_object():
util.report_error(
"Python generate_monsters: unable to create monster %s" %
design)
print "Actual # monster fleets placed: %d; Total Placement Expectation: %.1f" % (
actual_tally, expectation_tally)
# finally, compile some statistics to be dumped to the log later
statistics.monsters_summary = [(fp.name(), fp.spawn_limit() - counter)
for fp, counter in fleet_plans.iteritems()]
statistics.tracked_monsters_tries.update(tracked_plan_tries)
statistics.tracked_monsters_summary.update(tracked_plan_counts)
statistics.tracked_monsters_location_summary.update([
(fp.name(), count)
for fp, count in tracked_plan_valid_locations.iteritems()
])
statistics.tracked_nest_location_summary.update([
(nest_name_map[nest], count)
for nest, count in tracked_nest_valid_locations.items()
])
def distribute_specials(specials_freq, universe_objects):
"""
Adds start-of-game specials to universe objects.
"""
# get basic chance for occurrence of specials from the universe tables
# the values there are integers, so we have to divide them by 10,000 to get the actual basic probability value
basic_chance = float(fo.specials_frequency(specials_freq)) / 10000.0
if basic_chance <= 0:
return
# get a list with all specials that have a spawn rate and limit both > 0 and a location condition defined
# (no location condition means a special shouldn't get added at game start)
specials = [sp for sp in fo.get_all_specials() if fo.special_spawn_rate(sp) > 0.0 and
fo.special_spawn_limit(sp) > 0 and fo.special_has_location(sp)]
if not specials:
return
# dump a list of all specials meeting that conditions and their properties to the log
print "Specials available for distribution at game start:"
for special in specials:
print "...", special, ": spawn rate", fo.special_spawn_rate(special),\
"/ spawn limit", fo.special_spawn_limit(special)
# attempt to apply a special to each universe object in the list that has been passed to this function
# by finding a special that can be applied to it and hasn't been added too many times, and then attempt
# to add that special by testing its spawn rate
repeat_rate = {1 : 0.08, 2 : 0.05, 3 : 0.01, 4 : 0.00}
for univ_obj in universe_objects:
# for this universe object, find a suitable special
# start by shuffling our specials list, so each time the specials are considered in a new random order
random.shuffle(specials)
num_here = 0
# then, consider each special until one has been found or we run out of specials
# (the latter case means that no special is added to this universe object)
for special in specials:
# check if the spawn limit for this special has already been reached (that is, if this special
# has already been added the maximal allowed number of times)
if statistics.specials_summary[special] >= fo.special_spawn_limit(special):
# if yes, consider next special
continue
# check if this universe object matches the location condition for this special
# (meaning, if this special can be added to this universe object at all)
if not fo.special_location(special, univ_obj):
# if not, consider next special
continue
# we have found a special that meets all prerequisites
# now do the test if we want to add the selected special to this universe object by making a roll against
# the basic probability multiplied by the spawn rate of the special
if random.random() > basic_chance * fo.special_spawn_rate(special):
# no, test failed, break out of the specials loop and continue with the next universe object
statistics.specials_repeat_dist[num_here] += 1
break
num_here += 1
# all prerequisites and the test have been met, now add this special to this universe object
fo.add_special(univ_obj, special)
# increase the statistic counter for this special, so we can keep track of how often it has already
# been added (needed for the spawn limit test above, and to dump some statistics to the log later)
statistics.specials_summary[special] += 1
print "Special", special, "added to", fo.get_name(univ_obj)
# stop attempting to add specials here? give a small chance to try more than one special
if random.random() > repeat_rate.get(num_here, 0.0):
# sorry, no, break out of the specials loop and continue with the next universe object
statistics.specials_repeat_dist[num_here] += 1
break
else:
statistics.specials_repeat_dist[num_here] += 1
def generate_monsters(monster_freq, systems):
"""
Adds space monsters to systems.
"""
# first, calculate the basic chance for monster generation in a system
# based on the monster frequency that has been passed
# get the corresponding value for the specified monster frequency from the universe tables
basic_chance = universe_tables.MONSTER_FREQUENCY[monster_freq]
# a value of 0 means no monsters, in this case return immediately
if basic_chance <= 0:
return
print "Default monster spawn chance:", basic_chance
expectation_tally = 0.0
actual_tally = 0
# get all monster fleets that have a spawn rate and limit both > 0 and at least one monster ship design in it
# (a monster fleet with no monsters in it is pointless) and store them in a list
fleet_plans = fo.load_monster_fleet_plan_list()
# create a map where we store a spawn counter for each monster fleet
# this counter will be set to the spawn limit initially and decreased every time the monster fleet is spawned
# this map (dict) needs to be separate from the list holding the fleet plans because the order in which items
# are stored in a dict is undefined (can be different each time), which would result in different distribution
# even when using the same seed for the RNG
spawn_limits = {fp: fp.spawn_limit() for fp in fleet_plans
if fp.spawn_rate() > 0.0 and fp.spawn_limit() > 0 and fp.ship_designs()}
# map nests to monsters for ease of reporting
nest_name_map = dict(zip(["KRAKEN_NEST_SPECIAL", "SNOWFLAKE_NEST_SPECIAL", "JUGGERNAUT_NEST_SPECIAL"], ["SM_KRAKEN_1", "SM_SNOWFLAKE_1", "SM_JUGGERNAUT_1"]))
tracked_plan_tries = {name: 0 for name in nest_name_map.values()}
tracked_plan_counts = {name: 0 for name in nest_name_map.values()}
tracked_plan_valid_locations = {fp: 0 for fp in fleet_plans if fp.name() in tracked_plan_counts}
tracked_nest_valid_locations = {nest: 0 for nest in nest_name_map}
if not fleet_plans:
return
# dump a list of all monster fleets meeting these conditions and their properties to the log
print "Monster fleets available for generation at game start:"
for fleet_plan in fleet_plans:
print "...", fleet_plan.name(), ": spawn rate", fleet_plan.spawn_rate(),
print "/ spawn limit", fleet_plan.spawn_limit(),
print "/ effective chance", basic_chance * fleet_plan.spawn_rate(),
if len(systems) < 1000:
print "/ can be spawned at", len([s for s in systems if fleet_plan.location(s)]), "systems"
else:
print # to terminate the print line
if fleet_plan.name() in nest_name_map.values():
statistics.tracked_monsters_chance[fleet_plan.name()] = basic_chance * fleet_plan.spawn_rate()
# for each system in the list that has been passed to this function, find a monster fleet that can be spawned at
# the system and which hasn't already been added too many times, then attempt to add that monster fleet by
# testing the spawn rate chance
for system in systems:
# collect info for tracked monster nest valid locations
for planet in fo.sys_get_planets(system):
for nest in tracked_nest_valid_locations:
#print "\t tracked monster check planet: %d size: %s for nest: %20s | result: %s" % (planet, fo.planet_get_size(planet), nest, fo.special_location(nest, planet))
if fo.special_location(nest, planet):
tracked_nest_valid_locations[nest] += 1
# collect info for tracked monster valid locations
for fp in tracked_plan_valid_locations:
if fp.location(system):
tracked_plan_valid_locations[fp] += 1
# filter out all monster fleets whose location condition allows this system and whose counter hasn't reached 0
suitable_fleet_plans = [fp for fp in fleet_plans if spawn_limits[fp] and fp.location(system)]
# if there are no suitable monster fleets for this system, continue with the next
if not suitable_fleet_plans:
continue
# randomly select one monster fleet out of the suitable ones and then test if we want to add it to this system
# by making a roll against the basic chance multiplied by the spawn rate of this monster fleet
expectation_tally += basic_chance * sum([fp.spawn_rate() for fp in suitable_fleet_plans]) / len(suitable_fleet_plans)
fleet_plan = random.choice(suitable_fleet_plans)
if fleet_plan.name() in tracked_plan_tries:
tracked_plan_tries[fleet_plan.name()] += 1
if random.random() > basic_chance * fleet_plan.spawn_rate():
print "\t\t At system %4d rejected monster fleet %s from %d suitable fleets" % (system, fleet_plan.name(), len(suitable_fleet_plans))
# no, test failed, continue with the next system
continue
actual_tally += 1
if fleet_plan.name() in tracked_plan_counts:
tracked_plan_counts[fleet_plan.name()] += 1
# all prerequisites and the test have been met, now spawn this monster fleet in this system
print "Spawn", fleet_plan.name(), "at", fo.get_name(system)
# decrement counter for this monster fleet
spawn_limits[fleet_plan] -= 1
# create monster fleet
monster_fleet = fo.create_monster_fleet(system)
# if fleet creation fails, report an error and try to continue with next system
if monster_fleet == fo.invalid_object():
util.report_error("Python generate_monsters: unable to create new monster fleet %s" % fleet_plan.name())
continue
# add monsters to fleet
for design in fleet_plan.ship_designs():
# create monster, if creation fails, report an error and try to continue with the next design
if fo.create_monster(design, monster_fleet) == fo.invalid_object():
util.report_error("Python generate_monsters: unable to create monster %s" % design)
print "Actual # monster fleets placed: %d; Total Placement Expectation: %.1f" % (actual_tally, expectation_tally)
# finally, compile some statistics to be dumped to the log later
statistics.monsters_summary = [(fp.name(), fp.spawn_limit() - counter) for fp, counter in spawn_limits.iteritems()]
statistics.tracked_monsters_tries.update(tracked_plan_tries)
statistics.tracked_monsters_summary.update(tracked_plan_counts)
statistics.tracked_monsters_location_summary.update([(fp.name(), count) for fp, count in tracked_plan_valid_locations.iteritems()])
statistics.tracked_nest_location_summary.update([(nest_name_map[nest], count) for nest, count in tracked_nest_valid_locations.items()])
def generate_monsters(monster_freq, systems):
"""
Adds space monsters to systems.
"""
# first, calculate the basic chance for monster generation in a system
# based on the monster frequency that has been passed
# get the corresponding value for the specified monster frequency from the universe tables
basic_chance = universe_tables.MONSTER_FREQUENCY[monster_freq]
# a value of 0 means no monsters, in this case return immediately
if basic_chance <= 0:
return
print "Default monster spawn chance:", basic_chance
expectation_tally = 0.0
actual_tally = 0
# get all monster fleets that have a spawn rate and limit both > 0 and at least one monster ship design in it
# (a monster fleet with no monsters in it is pointless) and store them in a list
fleet_plans = fo.load_monster_fleet_plan_list()
# create a map where we store a spawn counter for each monster fleet
# this counter will be set to the spawn limit initially and decreased every time the monster fleet is spawned
# this map (dict) needs to be separate from the list holding the fleet plans because the order in which items
# are stored in a dict is undefined (can be different each time), which would result in different distribution
# even when using the same seed for the RNG
spawn_limits = {
fp: fp.spawn_limit()
for fp in fleet_plans if fp.spawn_rate() > 0.0 and fp.spawn_limit() > 0
and fp.ship_designs()
}
# map nests to monsters for ease of reporting
nest_name_map = {
"KRAKEN_NEST_SPECIAL": "SM_KRAKEN_1",
"SNOWFLAKE_NEST_SPECIAL": "SM_SNOWFLAKE_1",
"JUGGERNAUT_NEST_SPECIAL": "SM_JUGGERNAUT_1"
}
tracked_plan_tries = {name: 0 for name in nest_name_map.values()}
tracked_plan_counts = {name: 0 for name in nest_name_map.values()}
tracked_plan_valid_locations = {
fp: 0
for fp in fleet_plans if fp.name() in tracked_plan_counts
}
tracked_nest_valid_locations = {nest: 0 for nest in nest_name_map}
if not fleet_plans:
return
universe = fo.get_universe()
# Fleet plans that include ships capable of altering starlanes.
## @content_tag{CAN_ALTER_STARLANES} universe_generator special handling for fleets containing a hull design with this tag.
fleet_can_alter_starlanes = {
fp
for fp in fleet_plans if any([
universe.getGenericShipDesign(design).hull_type.hasTag(
"CAN_ALTER_STARLANES") for design in fp.ship_designs()
])
}
# dump a list of all monster fleets meeting these conditions and their properties to the log
print "Monster fleets available for generation at game start:"
for fleet_plan in fleet_plans:
print "...", fleet_plan.name(), ": spawn rate", fleet_plan.spawn_rate(
),
print "/ spawn limit", fleet_plan.spawn_limit(),
print "/ effective chance", basic_chance * fleet_plan.spawn_rate(),
if len(systems) < 100:
# Note: The WithinStarlaneJumps condition in fp.location()
# is the most time costly function in universe generation
print "/ can be spawned at", len(
[s for s in systems if fleet_plan.location(s)]), "systems"
else:
print # to terminate the print line
if fleet_plan.name() in nest_name_map.values():
statistics.tracked_monsters_chance[
fleet_plan.name()] = basic_chance * fleet_plan.spawn_rate()
# initialize a manager for monsters that can alter the map
# required to prevent their placement from disjoining the map
starlane_altering_monsters = StarlaneAlteringMonsters(systems)
# for each system in the list that has been passed to this function, find a monster fleet that can be spawned at
# the system and which hasn't already been added too many times, then attempt to add that monster fleet by
# testing the spawn rate chance
for system in systems:
# collect info for tracked monster nest valid locations
for planet in fo.sys_get_planets(system):
for nest in tracked_nest_valid_locations:
# print "\t tracked monster check planet: %d size: %s for nest: %20s | result: %s"
# % (planet, fo.planet_get_size(planet), nest, fo.special_location(nest, planet))
if fo.special_location(nest, planet):
tracked_nest_valid_locations[nest] += 1
# collect info for tracked monster valid locations
for fp in tracked_plan_valid_locations:
if fp.location(system):
tracked_plan_valid_locations[fp] += 1
# filter out all monster fleets whose location condition allows this system and whose counter hasn't reached 0.
# Note: The WithinStarlaneJumps condition in fp.location() is
# the most time costly function in universe generation.
suitable_fleet_plans = [
fp for fp in fleet_plans
if spawn_limits[fp] and fp.location(system) and (
fp not in fleet_can_alter_starlanes
or starlane_altering_monsters.can_place_at(system, fp))
]
# if there are no suitable monster fleets for this system, continue with the next
if not suitable_fleet_plans:
continue
# randomly select one monster fleet out of the suitable ones and then test if we want to add it to this system
# by making a roll against the basic chance multiplied by the spawn rate of this monster fleet
expectation_tally += basic_chance * sum(
[fp.spawn_rate()
for fp in suitable_fleet_plans]) / len(suitable_fleet_plans)
fleet_plan = random.choice(suitable_fleet_plans)
if fleet_plan.name() in tracked_plan_tries:
tracked_plan_tries[fleet_plan.name()] += 1
if random.random() > basic_chance * fleet_plan.spawn_rate():
print(
"\t\t At system %4d rejected monster fleet %s from %d suitable fleets"
% (system, fleet_plan.name(), len(suitable_fleet_plans)))
# no, test failed, continue with the next system
continue
actual_tally += 1
if fleet_plan.name() in tracked_plan_counts:
tracked_plan_counts[fleet_plan.name()] += 1
# all prerequisites and the test have been met, now spawn this monster fleet in this system
# create monster fleet
try:
if fleet_plan in fleet_can_alter_starlanes:
starlane_altering_monsters.place(system, fleet_plan)
else:
populate_monster_fleet(fleet_plan, system)
# decrement counter for this monster fleet
spawn_limits[fleet_plan] -= 1
except MapGenerationError as e:
report_error(str(e))
continue
print "Actual # monster fleets placed: %d; Total Placement Expectation: %.1f" % (
actual_tally, expectation_tally)
# finally, compile some statistics to be dumped to the log later
statistics.monsters_summary = [(fp.name(), fp.spawn_limit() - counter)
for fp, counter in spawn_limits.iteritems()]
statistics.tracked_monsters_tries.update(tracked_plan_tries)
statistics.tracked_monsters_summary.update(tracked_plan_counts)
statistics.tracked_monsters_location_summary.update([
(fp.name(), count)
for fp, count in tracked_plan_valid_locations.iteritems()
])
statistics.tracked_nest_location_summary.update([
(nest_name_map[nest], count)
for nest, count in tracked_nest_valid_locations.items()
])
def generate_monsters(monster_freq, systems):
"""
Adds space monsters to systems.
"""
# first, calculate the basic chance for monster generation in a system
# based on the monster frequency that has been passed
# get the corresponding value for the specified monster frequency from the universe tables
basic_chance = universe_tables.MONSTER_FREQUENCY[monster_freq]
# a value of 0 means no monsters, in this case return immediately
if basic_chance <= 0:
return
print "Default monster spawn chance:", basic_chance
expectation_tally = 0.0
actual_tally = 0
# get all monster fleets that have a spawn rate and limit both > 0 and at least one monster ship design in it
# (a monster fleet with no monsters in it is pointless) and store them in a list
fleet_plans = fo.load_monster_fleet_plan_list()
# create a map where we store a spawn counter for each monster fleet
# this counter will be set to the spawn limit initially and decreased every time the monster fleet is spawned
# this map (dict) needs to be separate from the list holding the fleet plans because the order in which items
# are stored in a dict is undefined (can be different each time), which would result in different distribution
# even when using the same seed for the RNG
spawn_limits = {
fp: fp.spawn_limit()
for fp in fleet_plans
if fp.spawn_rate() > 0.0 and fp.spawn_limit() > 0 and fp.ship_designs()
}
# map nests to monsters for ease of reporting
nest_name_map = {
"KRAKEN_NEST_SPECIAL": "SM_KRAKEN_1",
"SNOWFLAKE_NEST_SPECIAL": "SM_SNOWFLAKE_1",
"JUGGERNAUT_NEST_SPECIAL": "SM_JUGGERNAUT_1",
}
tracked_plan_tries = {name: 0 for name in nest_name_map.values()}
tracked_plan_counts = {name: 0 for name in nest_name_map.values()}
tracked_plan_valid_locations = {fp: 0 for fp in fleet_plans if fp.name() in tracked_plan_counts}
tracked_nest_valid_locations = {nest: 0 for nest in nest_name_map}
if not fleet_plans:
return
universe = fo.get_universe()
# Fleet plans that include ships capable of altering starlanes.
## @content_tag{CAN_ALTER_STARLANES} universe_generator special handling for fleets containing a hull design with this tag.
fleet_can_alter_starlanes = {
fp
for fp in fleet_plans
if any(
[
universe.getGenericShipDesign(design).hull_type.hasTag("CAN_ALTER_STARLANES")
for design in fp.ship_designs()
]
)
}
# dump a list of all monster fleets meeting these conditions and their properties to the log
print "Monster fleets available for generation at game start:"
for fleet_plan in fleet_plans:
print "...", fleet_plan.name(), ": spawn rate", fleet_plan.spawn_rate(),
print "/ spawn limit", fleet_plan.spawn_limit(),
print "/ effective chance", basic_chance * fleet_plan.spawn_rate(),
if len(systems) < 100:
# Note: The WithinStarlaneJumps condition in fp.location()
# is the most time costly function in universe generation
print "/ can be spawned at", len([s for s in systems if fleet_plan.location(s)]), "systems"
else:
print # to terminate the print line
if fleet_plan.name() in nest_name_map.values():
statistics.tracked_monsters_chance[fleet_plan.name()] = basic_chance * fleet_plan.spawn_rate()
# initialize a manager for monsters that can alter the map
# required to prevent their placement from disjoining the map
starlane_altering_monsters = StarlaneAlteringMonsters(systems)
# for each system in the list that has been passed to this function, find a monster fleet that can be spawned at
# the system and which hasn't already been added too many times, then attempt to add that monster fleet by
# testing the spawn rate chance
for system in systems:
# collect info for tracked monster nest valid locations
for planet in fo.sys_get_planets(system):
for nest in tracked_nest_valid_locations:
# print "\t tracked monster check planet: %d size: %s for nest: %20s | result: %s"
# % (planet, fo.planet_get_size(planet), nest, fo.special_location(nest, planet))
if fo.special_location(nest, planet):
tracked_nest_valid_locations[nest] += 1
# collect info for tracked monster valid locations
for fp in tracked_plan_valid_locations:
if fp.location(system):
tracked_plan_valid_locations[fp] += 1
# filter out all monster fleets whose location condition allows this system and whose counter hasn't reached 0.
# Note: The WithinStarlaneJumps condition in fp.location() is
# the most time costly function in universe generation.
suitable_fleet_plans = [
fp
for fp in fleet_plans
if spawn_limits[fp]
and fp.location(system)
and (fp not in fleet_can_alter_starlanes or starlane_altering_monsters.can_place_at(system, fp))
]
# if there are no suitable monster fleets for this system, continue with the next
if not suitable_fleet_plans:
continue
# randomly select one monster fleet out of the suitable ones and then test if we want to add it to this system
# by making a roll against the basic chance multiplied by the spawn rate of this monster fleet
expectation_tally += (
basic_chance * sum([fp.spawn_rate() for fp in suitable_fleet_plans]) / len(suitable_fleet_plans)
)
fleet_plan = random.choice(suitable_fleet_plans)
if fleet_plan.name() in tracked_plan_tries:
tracked_plan_tries[fleet_plan.name()] += 1
if random.random() > basic_chance * fleet_plan.spawn_rate():
print (
"\t\t At system %4d rejected monster fleet %s from %d suitable fleets"
% (system, fleet_plan.name(), len(suitable_fleet_plans))
)
# no, test failed, continue with the next system
continue
actual_tally += 1
if fleet_plan.name() in tracked_plan_counts:
tracked_plan_counts[fleet_plan.name()] += 1
# all prerequisites and the test have been met, now spawn this monster fleet in this system
# create monster fleet
try:
if fleet_plan in fleet_can_alter_starlanes:
starlane_altering_monsters.place(system, fleet_plan)
else:
populate_monster_fleet(fleet_plan, system)
# decrement counter for this monster fleet
spawn_limits[fleet_plan] -= 1
except MapGenerationError as e:
report_error(str(e))
continue
print "Actual # monster fleets placed: %d; Total Placement Expectation: %.1f" % (actual_tally, expectation_tally)
# finally, compile some statistics to be dumped to the log later
statistics.monsters_summary = [(fp.name(), fp.spawn_limit() - counter) for fp, counter in spawn_limits.iteritems()]
statistics.tracked_monsters_tries.update(tracked_plan_tries)
statistics.tracked_monsters_summary.update(tracked_plan_counts)
statistics.tracked_monsters_location_summary.update(
[(fp.name(), count) for fp, count in tracked_plan_valid_locations.iteritems()]
)
statistics.tracked_nest_location_summary.update(
[(nest_name_map[nest], count) for nest, count in tracked_nest_valid_locations.items()]
)