def generate_systems(pos_list, gsd):
"""
Generates and populates star systems at all positions in specified list.
"""
sys_list = []
for position in pos_list:
star_type = pick_star_type(gsd.age)
system = fo.create_system(star_type, "", position.x, position.y)
if system == fo.invalid_object():
# create system failed, report an error and try to continue with next position
util.report_error(
"Python generate_systems: create system at position (%f, %f) failed"
% (position.x, position.y))
continue
sys_list.append(system)
for orbit in range(fo.sys_get_num_orbits(system)):
# check for each orbit if a planet shall be created by determining planet size
planet_size = planets.calc_planet_size(star_type, orbit,
gsd.planetDensity,
gsd.shape)
if planet_size in planets.planet_sizes:
# ok, we want a planet, determine planet type and generate the planet
planet_type = planets.calc_planet_type(star_type, orbit,
planet_size)
if fo.create_planet(planet_size, planet_type, system, orbit,
"") == fo.invalid_object():
# create planet failed, report an error and try to continue with next orbit
util.report_error(
"Python generate_systems: create planet in system %d failed"
% system)
return sys_list
def compile_home_system_list(num_home_systems, systems):
"""
Compiles a list with a requested number of home systems.
"""
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
util.report_error("Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
min_jumps = max(int(float(len(systems)) / float(num_home_systems * 2)), 5)
# try to find the home systems, decrease the min jumps until enough systems can be found, or the min jump distance
# gets reduced to 0 (meaning we don't have enough systems to choose from at all)
while min_jumps > 0:
print "Trying to find", num_home_systems, "home systems that are at least", min_jumps, "jumps apart"
# try to find home systems...
home_systems = find_systems_with_min_jumps_between(num_home_systems, systems, min_jumps)
# ...check if we got enough...
if len(home_systems) >= num_home_systems:
# ...yes, we got what we need, so let's break out of the loop
break
print "Home system min jump conflict: %d systems and %d empires, tried %d min jump and failed"\
% (len(systems), num_home_systems, min_jumps)
# ...no, decrease the min jump distance and try again
min_jumps -= 1
# check if the loop above delivered a list with enough home systems, or if it exited because the min jump distance
# has been decreased to 0 without finding enough systems
# in that case, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
util.report_error("Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(home_system) not in starsystems.star_types_real:
star_type = random.choice(starsystems.star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(random.choice(planets.planet_sizes_real),
random.choice(planets.planet_types_real),
home_system, random.randint(0, fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
util.report_error("Python generate_home_system_list: couldn't create planet in home system")
return []
return home_systems
def generate_a_planet(system, star_type, orbit, planet_density, galaxy_shape):
"""
Place a planet in an orbit of a system. Return True on success
"""
planet_size = calc_planet_size(star_type, orbit, planet_density, galaxy_shape)
if planet_size not in planet_sizes:
return False
# ok, we want a planet, determine planet type and generate the planet
planet_type = calc_planet_type(star_type, orbit, planet_size)
if planet_type == fo.planetType.unknown:
return False
if fo.create_planet(planet_size, planet_type, system, orbit, "") == fo.invalid_object():
# create planet failed, report an error
util.report_error("Python generate_systems: create planet in system %d failed" % system)
return False
return True
def generate_a_planet(system, star_type, orbit, planet_density, galaxy_shape):
"""
Place a planet in an orbit of a system. Return True on success
"""
planet_size = calc_planet_size(star_type, orbit, planet_density,
galaxy_shape)
if planet_size not in planet_sizes:
return False
# ok, we want a planet, determine planet type and generate the planet
planet_type = calc_planet_type(star_type, orbit, planet_size)
if planet_type == fo.planetType.unknown:
return False
if fo.create_planet(planet_size, planet_type, system, orbit,
"") == fo.invalid_object():
# create planet failed, report an error
util.report_error(
"Python generate_systems: create planet in system %d failed" %
system)
return False
return True
def generate_systems(pos_list, gsd):
"""
Generates and populates star systems at all positions in specified list.
"""
sys_list = []
for position in pos_list:
star_type = pick_star_type(gsd.age)
system = fo.create_system(star_type, "", position.x, position.y)
if system == fo.invalid_object():
# create system failed, report an error and try to continue with next position
util.report_error("Python generate_systems: create system at position (%f, %f) failed"
% (position.x, position.y))
continue
sys_list.append(system)
for orbit in range(0, fo.sys_get_num_orbits(system) - 1):
# check for each orbit if a planet shall be created by determining planet size
planet_size = planets.calc_planet_size(star_type, orbit, gsd.planetDensity, gsd.shape)
if planet_size in planets.planet_sizes:
# ok, we want a planet, determine planet type and generate the planet
planet_type = planets.calc_planet_type(star_type, orbit, planet_size)
if fo.create_planet(planet_size, planet_type, system, orbit, "") == fo.invalid_object():
# create planet failed, report an error and try to continue with next orbit
util.report_error("Python generate_systems: create planet in system %d failed" % system)
return sys_list
def compile_home_system_list(num_home_systems, systems, gsd):
"""
Compiles a list with a requested number of home systems.
"""
print "Compile home system list:", num_home_systems, "systems requested"
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
report_error(
"Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
# don't let min_jumps be either:
# a.) larger than a defined limit, because an unreasonably large number is really not at all needed,
# and with large galaxies an excessive amount of time can be used in failed attempts
# b.) lower than the minimum jump distance limit that should be considered high priority (see options.py),
# otherwise no attempt at all would be made to enforce the other requirements for home systems (see below)
min_jumps = min(
HS_MAX_JUMP_DISTANCE_LIMIT,
max(int(float(len(systems)) / float(num_home_systems * 2)),
HS_MIN_DISTANCE_PRIORITY_LIMIT))
# home systems must have a certain minimum of systems and planets in their near vicinity
# we will try to select our home systems from systems that match this criteria, if that fails, we will select our
# home systems from all systems and add the missing number planets to the systems in their vicinity afterwards
# the minimum system and planet limit and the jump range that defines the "near vicinity" are controlled by the
# HS_* option constants in options.py (see there)
# we start by building two additional pools of systems: one that contains all systems that match the criteria
# completely (meets the min systems and planets limit), and one that contains all systems that match the criteria
# at least partially (meets the min systems limit)
pool_matching_sys_and_planet_limit = []
pool_matching_sys_limit = []
for system in systems:
systems_in_vicinity = fo.systems_within_jumps_unordered(
HS_VICINITY_RANGE, [system])
if len(systems_in_vicinity) >= HS_MIN_SYSTEMS_IN_VICINITY:
pool_matching_sys_limit.append(system)
if count_planets_in_systems(
systems_in_vicinity) >= min_planets_in_vicinity_limit(
len(systems_in_vicinity)):
pool_matching_sys_and_planet_limit.append(system)
print(
len(pool_matching_sys_and_planet_limit),
"systems meet the min systems and planets in the near vicinity limit")
print len(pool_matching_sys_limit
), "systems meet the min systems in the near vicinity limit"
# now try to pick the requested number of home systems
# we will do this by calling find_home_systems, which takes a list of tuples defining the pools from which to pick
# the home systems; it will use the pools in the order in which they appear in the list, so put better pools first
# we will make two attempts: the first one with the filtered pools we just created, and tell find_home_systems
# to start with the min_jumps jumps distance we calculated above, but not to go lower than
# HS_MIN_DISTANCE_PRIORITY_LIMIT
print "First attempt: trying to pick home systems from the filtered pools of preferred systems"
pool_list = [
# the better pool is of course the one where all systems meet BOTH the min systems and planets limit
(pool_matching_sys_and_planet_limit,
"pool of systems that meet both the min systems and planets limit"),
# next the less preferred pool where all systems at least meets the min systems limit
# specify 0 as number of requested home systems to pick as much systems as possible
(pool_matching_sys_limit,
"pool of systems that meet at least the min systems limit"),
]
home_systems = find_home_systems(num_home_systems, pool_list, min_jumps,
HS_MIN_DISTANCE_PRIORITY_LIMIT)
# check if the first attempt delivered a list with enough home systems
# if not, we make our second attempt, this time disregarding the filtered pools and using all systems, starting
# again with the min_jumps jump distance limit and specifying 0 as number of required home systems to pick as much
# systems as possible
if len(home_systems) < num_home_systems:
print "Second attempt: trying to pick home systems from all systems"
home_systems = find_home_systems(num_home_systems,
[(systems, "complete pool")],
min_jumps, 1)
# check if the selection process delivered a list with enough home systems
# if not, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
report_error(
"Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# check if we got more home systems than we requested
if len(home_systems) > num_home_systems:
# yes: calculate the number of planets in the near vicinity of each system
# and store that value with each system in a map
hs_planets_in_vicinity_map = {
s: calculate_home_system_merit(s)
for s in home_systems
}
# sort the home systems by the number of planets in their near vicinity using the map
# now only pick the number of home systems we need, taking those with the highest number of planets
home_systems = sorted(home_systems,
key=hs_planets_in_vicinity_map.get,
reverse=True)[:num_home_systems]
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(home_system) not in star_types_real:
star_type = random.choice(star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(
random.choice(planet_sizes_real),
random.choice(planet_types_real), home_system,
random.randint(0,
fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
report_error(
"Python generate_home_system_list: couldn't create planet in home system"
)
return []
# finally, check again if all home systems meet the criteria of having the required minimum number of planets
# within their near vicinity, if not, add the missing number of planets
print "Checking if home systems have the required minimum of planets within the near vicinity..."
for home_system in home_systems:
# calculate the number of missing planets, and add them if this number is > 0
systems_in_vicinity = fo.systems_within_jumps_unordered(
HS_VICINITY_RANGE, [home_system])
num_systems_in_vicinity = len(systems_in_vicinity)
num_planets_in_vicinity = count_planets_in_systems(systems_in_vicinity)
num_planets_to_add = min_planets_in_vicinity_limit(
num_systems_in_vicinity) - num_planets_in_vicinity
print "Home system", home_system, "has", num_systems_in_vicinity, "systems and", num_planets_in_vicinity,\
"planets in the near vicinity, required minimum:", min_planets_in_vicinity_limit(num_systems_in_vicinity)
if num_planets_to_add > 0:
systems_in_vicinity.remove(
home_system
) # don't add planets to the home system, so remove it from the list
# sort the systems_in_vicinity before adding, since the C++ engine doesn't guarrantee the same
# platform independence as python.
add_planets_to_vicinity(sorted(systems_in_vicinity),
num_planets_to_add, gsd)
# as we've sorted the home system list before, lets shuffle it to ensure random order and return
random.shuffle(home_systems)
return home_systems
def add_planets_to_vicinity(vicinity, num_planets, gsd):
"""
Adds the specified number of planets to the specified systems.
"""
print "Adding", num_planets, "planets to the following systems:", vicinity
# first, compile a list containing all the free orbits in the specified systems
# begin with adding the free orbits of all systems that have a real star (that is, no neutron star, black hole,
# and not no star), if that isn't enough, also one, by one, add the free orbits of neutron star, black hole and
# no star systems (in that order) until we have enough free orbits
# for that, we use this list of tuples
# the first tuple contains all real star types, the following tuples the neutron, black hole and no star types,
# so we can iterate over this list and only add the free orbits of systems that match the respective star types
# each step
# this way we can prioritize the systems we want to add planets to by star type
acceptable_star_types_list = [
star_types_real, (fo.starType.noStar, ), (fo.starType.neutron, ),
(fo.starType.blackHole, )
]
# store the free orbits as a list of tuples of (system, orbit)
free_orbits_map = []
# now, iterate over the list of acceptable star types
for acceptable_star_types in acceptable_star_types_list:
# check all systems in the list of systems we got passed into this function
for system in vicinity:
# if this system has a star type we want to accept in this step, add its free orbits to our list
if fo.sys_get_star_type(system) in acceptable_star_types:
free_orbits_map.extend([
(system, orbit) for orbit in fo.sys_free_orbits(system)
])
# check if we got enough free orbits after completing this step
# we want 4 times as much free orbits as planets we want to add, that means each system shouldn't get more
# than 2-3 additional planets on average
if len(free_orbits_map) > (num_planets * 4):
break
# if we got less free orbits than planets that should be added, something is wrong
# in that case abort and log an error
if len(free_orbits_map) < num_planets:
report_error(
"Python add_planets_to_vicinity: less free orbits than planets to add - cancelled"
)
print "...free orbits available:", free_orbits_map
# as we will pop the free orbits from this list afterwards, shuffle it to randomize the order of the orbits
random.shuffle(free_orbits_map)
# add the requested number of planets
while num_planets > 0:
# get the next free orbit from the list we just compiled
system, orbit = free_orbits_map.pop()
# check the star type of the system containing the orbit we got
star_type = fo.sys_get_star_type(system)
if star_type in [fo.starType.noStar, fo.starType.blackHole]:
# if it is a black hole or has no star, change the star type
# pick a star type, continue until we get a real star
# don't accept neutron, black hole or no star
print "...system picked to add a planet has star type", star_type
while star_type not in star_types_real:
star_type = pick_star_type(gsd.age)
print "...change that to", star_type
fo.sys_set_star_type(system, star_type)
# pick a planet size, continue until we get a size that matches the HS_ACCEPTABLE_PLANET_SIZES option
planet_size = fo.planetSize.unknown
while planet_size not in HS_ACCEPTABLE_PLANET_SIZES:
planet_size = calc_planet_size(star_type, orbit,
fo.galaxySetupOption.high,
gsd.shape)
# pick an according planet type
planet_type = calc_planet_type(star_type, orbit, planet_size)
# finally, create the planet in the system and orbit we got
print "...adding", planet_size, planet_type, "planet to system", system
if fo.create_planet(planet_size, planet_type, system, orbit,
"") == fo.invalid_object():
report_error(
"Python add_planets_to_vicinity: create planet in system %d failed"
% system)
# continue with next planet
num_planets -= 1
def compile_home_system_list(num_home_systems, systems, gsd):
"""
Compiles a list with a requested number of home systems.
"""
print "Compile home system list:", num_home_systems, "systems requested"
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
report_error("Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
# don't let min_jumps be either:
# a.) larger than a defined limit, because an unreasonably large number is really not at all needed,
# and with large galaxies an excessive amount of time can be used in failed attempts
# b.) lower than the minimum jump distance limit that should be considered high priority (see options.py),
# otherwise no attempt at all would be made to enforce the other requirements for home systems (see below)
min_jumps = min(HS_MAX_JUMP_DISTANCE_LIMIT, max(int(float(len(systems)) / float(num_home_systems * 2)),
HS_MIN_DISTANCE_PRIORITY_LIMIT))
# home systems must have a certain minimum of systems and planets in their near vicinity
# we will try to select our home systems from systems that match this criteria, if that fails, we will select our
# home systems from all systems and add the missing number planets to the systems in their vicinity afterwards
# the minimum system and planet limit and the jump range that defines the "near vicinity" are controlled by the
# HS_* option constants in options.py (see there)
# we start by building two additional pools of systems: one that contains all systems that match the criteria
# completely (meets the min systems and planets limit), and one that contains all systems that match the criteria
# at least partially (meets the min systems limit)
pool_matching_sys_and_planet_limit = []
pool_matching_sys_limit = []
for system in systems:
systems_in_vicinity = get_systems_within_jumps(system, HS_VICINITY_RANGE)
if len(systems_in_vicinity) >= HS_MIN_SYSTEMS_IN_VICINITY:
pool_matching_sys_limit.append(system)
if count_planets_in_systems(systems_in_vicinity) >= min_planets_in_vicinity_limit(len(systems_in_vicinity)):
pool_matching_sys_and_planet_limit.append(system)
print len(pool_matching_sys_and_planet_limit), "systems meet the min systems and planets in the near vicinity limit"
print len(pool_matching_sys_limit), "systems meet the min systems in the near vicinity limit"
# now try to pick the requested number of home systems
# we will do this by calling find_home_systems, which takes a list of tuples defining the pools from which to pick
# the home systems; it will use the pools in the order in which they appear in the list, so put better pools first
# we will make two attempts: the first one with the filtered pools we just created, and tell find_home_systems
# to start with the min_jumps jumps distance we calculated above, but not to go lower than
# HS_MIN_DISTANCE_PRIORITY_LIMIT
print "First attempt: trying to pick home systems from the filtered pools of preferred systems"
pool_list = [
# the better pool is of course the one where all systems meet BOTH the min systems and planets limit
(pool_matching_sys_and_planet_limit, "pool of systems that meet both the min systems and planets limit"),
# next the less preferred pool where all systems at least meets the min systems limit
# specify 0 as number of requested home systems to pick as much systems as possible
(pool_matching_sys_limit, "pool of systems that meet at least the min systems limit"),
]
home_systems = find_home_systems(num_home_systems, pool_list, min_jumps, HS_MIN_DISTANCE_PRIORITY_LIMIT)
# check if the first attempt delivered a list with enough home systems
# if not, we make our second attempt, this time disregarding the filtered pools and using all systems, starting
# again with the min_jumps jump distance limit and specifying 0 as number of required home systems to pick as much
# systems as possible
if len(home_systems) < num_home_systems:
print "Second attempt: trying to pick home systems from all systems"
home_systems = find_home_systems(num_home_systems, [(systems, "complete pool")], min_jumps, 1)
# check if the selection process delivered a list with enough home systems
# if not, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
report_error("Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# check if we got more home systems than we requested
if len(home_systems) > num_home_systems:
# yes: calculate the number of planets in the near vicinity of each system
# and store that value with each system in a map
hs_planets_in_vicinity_map = {s: count_planets_in_systems(get_systems_within_jumps(s, HS_VICINITY_RANGE))
for s in home_systems}
# sort the home systems by the number of planets in their near vicinity using the map
# now only pick the number of home systems we need, taking those with the highest number of planets
home_systems = sorted(home_systems, key=hs_planets_in_vicinity_map.get, reverse=True)[:num_home_systems]
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(home_system) not in star_types_real:
star_type = random.choice(star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(random.choice(planet_sizes_real),
random.choice(planet_types_real),
home_system, random.randint(0, fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
report_error("Python generate_home_system_list: couldn't create planet in home system")
return []
# finally, check again if all home systems meet the criteria of having the required minimum number of planets
# within their near vicinity, if not, add the missing number of planets
print "Checking if home systems have the required minimum of planets within the near vicinity..."
for home_system in home_systems:
# calculate the number of missing planets, and add them if this number is > 0
systems_in_vicinity = get_systems_within_jumps(home_system, HS_VICINITY_RANGE)
num_systems_in_vicinity = len(systems_in_vicinity)
num_planets_in_vicinity = count_planets_in_systems(systems_in_vicinity)
num_planets_to_add = min_planets_in_vicinity_limit(num_systems_in_vicinity) - num_planets_in_vicinity
print "Home system", home_system, "has", num_systems_in_vicinity, "systems and", num_planets_in_vicinity,\
"planets in the near vicinity, required minimum:", min_planets_in_vicinity_limit(num_systems_in_vicinity)
if num_planets_to_add > 0:
systems_in_vicinity.remove(home_system) # don't add planets to the home system, so remove it from the list
add_planets_to_vicinity(systems_in_vicinity, num_planets_to_add, gsd)
# as we've sorted the home system list before, lets shuffle it to ensure random order and return
random.shuffle(home_systems)
return home_systems
def add_planets_to_vicinity(vicinity, num_planets, gsd):
"""
Adds the specified number of planets to the specified systems.
"""
print "Adding", num_planets, "planets to the following systems:", vicinity
# first, compile a list containing all the free orbits in the specified systems
# begin with adding the free orbits of all systems that have a real star (that is, no neutron star, black hole,
# and not no star), if that isn't enough, also one, by one, add the free orbits of neutron star, black hole and
# no star systems (in that order) until we have enough free orbits
# for that, we use this list of tuples
# the first tuple contains all real star types, the following tuples the neutron, black hole and no star types,
# so we can iterate over this list and only add the free orbits of systems that match the respective star types
# each step
# this way we can prioritize the systems we want to add planets to by star type
acceptable_star_types_list = [
star_types_real,
(fo.starType.noStar,),
(fo.starType.neutron,),
(fo.starType.blackHole,)
]
# store the free orbits as a list of tuples of (system, orbit)
free_orbits_map = []
# now, iterate over the list of acceptable star types
for acceptable_star_types in acceptable_star_types_list:
# check all systems in the list of systems we got passed into this function
for system in vicinity:
# if this system has a star type we want to accept in this step, add its free orbits to our list
if fo.sys_get_star_type(system) in acceptable_star_types:
free_orbits_map.extend([(system, orbit) for orbit in fo.sys_free_orbits(system)])
# check if we got enough free orbits after completing this step
# we want 4 times as much free orbits as planets we want to add, that means each system shouldn't get more
# than 2-3 additional planets on average
if len(free_orbits_map) > (num_planets * 4):
break
# if we got less free orbits than planets that should be added, something is wrong
# in that case abort and log an error
if len(free_orbits_map) < num_planets:
report_error("Python add_planets_to_vicinity: less free orbits than planets to add - cancelled")
print "...free orbits available:", free_orbits_map
# as we will pop the free orbits from this list afterwards, shuffle it to randomize the order of the orbits
random.shuffle(free_orbits_map)
# add the requested number of planets
while num_planets > 0:
# get the next free orbit from the list we just compiled
system, orbit = free_orbits_map.pop()
# check the star type of the system containing the orbit we got
star_type = fo.sys_get_star_type(system)
if star_type in [fo.starType.noStar, fo.starType.blackHole]:
# if it is a black hole or has no star, change the star type
# pick a star type, continue until we get a real star
# don't accept neutron, black hole or no star
print "...system picked to add a planet has star type", star_type
while star_type not in star_types_real:
star_type = pick_star_type(gsd.age)
print "...change that to", star_type
fo.sys_set_star_type(system, star_type)
# pick a planet size, continue until we get a size that matches the HS_ACCEPTABLE_PLANET_SIZES option
planet_size = fo.planetSize.unknown
while planet_size not in HS_ACCEPTABLE_PLANET_SIZES:
planet_size = calc_planet_size(star_type, orbit, fo.galaxySetupOption.high, gsd.shape)
# pick an according planet type
planet_type = calc_planet_type(star_type, orbit, planet_size)
# finally, create the planet in the system and orbit we got
print "...adding", planet_size, planet_type, "planet to system", system
if fo.create_planet(planet_size, planet_type, system, orbit, "") == fo.invalid_object():
report_error("Python add_planets_to_vicinity: create planet in system %d failed" % system)
# continue with next planet
num_planets -= 1
def compile_home_system_list(num_home_systems, systems):
"""
Compiles a list with a requested number of home systems.
"""
print "Compile home system list:", num_home_systems, "systems requested"
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
report_error(
"Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
# Don't let min_jumps be larger than 10, because a larger number is really not at all needed and with large
# galaxies an excessive amount of time can be used in failed attempts
min_jumps = min(
10, max(int(float(len(systems)) / float(num_home_systems * 2)), 5))
# home systems must have a certain minimum of systems in their near vicinity
# we will try to select our home systems from systems that match this criteria, if that fails, we will select our
# home systems from all systems and add the missing number planets to the systems in their vicinity afterwards
# the minimum planet limit and the jump range that defines the "near vicinity" are controlled by the
# HS_* option constants in options.py (see there)
# lets start by filtering out all systems from the pool we got passed into this function that match the criteria
filtered_pool = [s for s in systems if has_min_planets_in_vicinity(s)]
print "Filtering out systems that meet the minimum planets in the near vicinity condition yielded",\
len(filtered_pool), "systems"
print "Using this as the preferred pool for home system selection"
# now try to pick the requested number of home systems by calling find_home_systems
# this function takes two pools, a "complete" pool and one with preferred systems
# it will try to pick the home systems from the preferred pool first, so pass our filtered pool as preferred pool
home_systems = find_home_systems(num_home_systems, systems, filtered_pool,
min_jumps)
# check if the selection process delivered a list with enough home systems
# if not, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
report_error(
"Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# check if we got more home systems than we requested
if len(home_systems) > num_home_systems:
# yes: calculate the number of planets in the near vicinity of each system
# and store that value with each system in a map
hs_planets_in_vicinity_map = {
s: count_planets_in_systems(
get_systems_within_jumps(s, HS_VICINITY_RANGE))
for s in home_systems
}
# sort the home systems by the number of planets in their near vicinity using the map
# now only pick the number of home systems we need, taking those with the highest number of planets
home_systems = sorted(home_systems,
key=hs_planets_in_vicinity_map.get,
reverse=True)[:num_home_systems]
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(home_system) not in star_types_real:
star_type = random.choice(star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(
random.choice(planet_sizes_real),
random.choice(planet_types_real), home_system,
random.randint(0,
fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
report_error(
"Python generate_home_system_list: couldn't create planet in home system"
)
return []
# finally, check again if all home systems meet the criteria of having the required minimum number of planets
# within their near vicinity, if not, add the missing number of planets
print "Checking if home systems have the required minimum of planets within the near vicinity..."
for home_system in home_systems:
# calculate the number of missing planets, and add them if this number is > 0
systems_in_vicinity = get_systems_within_jumps(home_system,
HS_VICINITY_RANGE)
num_systems_in_vicinity = len(systems_in_vicinity)
num_planets_in_vicinity = count_planets_in_systems(systems_in_vicinity)
num_planets_to_add = min_planets_in_vicinity_limit(
num_systems_in_vicinity) - num_planets_in_vicinity
print "Home system", home_system, "has", num_systems_in_vicinity, "systems and", num_planets_in_vicinity,\
"planets in the near vicinity, required minimum:", min_planets_in_vicinity_limit(num_systems_in_vicinity)
if num_planets_to_add > 0:
systems_in_vicinity.remove(
home_system
) # don't add planets to the home system, so remove it from the list
add_planets_to_vicinity(systems_in_vicinity, num_planets_to_add)
# as we've sorted the home system list before, lets shuffle it to ensure random order and return
random.shuffle(home_systems)
return home_systems
def compile_home_system_list(num_home_systems, systems):
"""
Compiles a list with a requested number of home systems.
"""
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
util.report_error(
"Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
min_jumps = max(int(float(len(systems)) / float(num_home_systems * 2)), 5)
# try to find the home systems, decrease the min jumps until enough systems can be found, or the min jump distance
# gets reduced to 0 (meaning we don't have enough systems to choose from at all)
while min_jumps > 0:
print "Trying to find", num_home_systems, "home systems that are at least", min_jumps, "jumps apart"
# try to find home systems...
home_systems = find_systems_with_min_jumps_between(
num_home_systems, systems, min_jumps)
# ...check if we got enough...
if len(home_systems) >= num_home_systems:
# ...yes, we got what we need, so let's break out of the loop
break
print "Home system min jump conflict: %d systems and %d empires, tried %d min jump and failed"\
% (len(systems), num_home_systems, min_jumps)
# ...no, decrease the min jump distance and try again
min_jumps -= 1
# check if the loop above delivered a list with enough home systems, or if it exited because the min jump distance
# has been decreased to 0 without finding enough systems
# in that case, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
util.report_error(
"Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(
home_system) not in starsystems.star_types_real:
star_type = random.choice(starsystems.star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(
random.choice(planets.planet_sizes_real),
random.choice(planets.planet_types_real), home_system,
random.randint(0,
fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
util.report_error(
"Python generate_home_system_list: couldn't create planet in home system"
)
return []
return home_systems
def compile_home_system_list(num_home_systems, systems):
"""
Compiles a list with a requested number of home systems.
"""
print "Compile home system list:", num_home_systems, "systems requested"
# if the list of systems to choose home systems from is empty, report an error and return empty list
if not systems:
report_error("Python generate_home_system_list: no systems to choose from")
return []
# calculate an initial minimal number of jumps that the home systems should be apart,
# based on the total number of systems to choose from and the requested number of home systems
# Don't let min_jumps be larger than 10, because a larger number is really not at all needed and with large
# galaxies an excessive amount of time can be used in failed attempts
min_jumps = min(10, max(int(float(len(systems)) / float(num_home_systems * 2)), 5))
# home systems must have a certain minimum of systems in their near vicinity
# we will try to select our home systems from systems that match this criteria, if that fails, we will select our
# home systems from all systems and add the missing number planets to the systems in their vicinity afterwards
# the minimum planet limit and the jump range that defines the "near vicinity" are controlled by the
# HS_* option constants in options.py (see there)
# lets start by filtering out all systems from the pool we got passed into this function that match the criteria
filtered_pool = [s for s in systems if has_min_planets_in_vicinity(s)]
print "Filtering out systems that meet the minimum planets in the near vicinity condition yielded",\
len(filtered_pool), "systems"
print "Using this as the preferred pool for home system selection"
# now try to pick the requested number of home systems by calling find_home_systems
# this function takes two pools, a "complete" pool and one with preferred systems
# it will try to pick the home systems from the preferred pool first, so pass our filtered pool as preferred pool
home_systems = find_home_systems(num_home_systems, systems, filtered_pool, min_jumps)
# check if the selection process delivered a list with enough home systems
# if not, our galaxy obviously is too crowded, report an error and return an empty list
if len(home_systems) < num_home_systems:
report_error("Python generate_home_system_list: requested %d homeworlds in a galaxy with %d systems"
% (num_home_systems, len(systems)))
return []
# check if we got more home systems than we requested
if len(home_systems) > num_home_systems:
# yes: calculate the number of planets in the near vicinity of each system
# and store that value with each system in a map
hs_planets_in_vicinity_map = {s: count_planets_in_systems(get_systems_within_jumps(s, HS_VICINITY_RANGE))
for s in home_systems}
# sort the home systems by the number of planets in their near vicinity using the map
# now only pick the number of home systems we need, taking those with the highest number of planets
home_systems = sorted(home_systems, key=hs_planets_in_vicinity_map.get, reverse=True)[:num_home_systems]
# make sure all our home systems have a "real" star (that is, a star that is not a neutron star, black hole,
# or even no star at all) and at least one planet in it
for home_system in home_systems:
# if this home system has no "real" star, change star type to a randomly selected "real" star
if fo.sys_get_star_type(home_system) not in star_types_real:
star_type = random.choice(star_types_real)
print "Home system", home_system, "has star type", fo.sys_get_star_type(home_system),\
", changing that to", star_type
fo.sys_set_star_type(home_system, star_type)
# if this home system has no planets, create one in a random orbit
# we take random values for type and size, as these will be set to suitable values later
if not fo.sys_get_planets(home_system):
print "Home system", home_system, "has no planets, adding one"
planet = fo.create_planet(random.choice(planet_sizes_real),
random.choice(planet_types_real),
home_system, random.randint(0, fo.sys_get_num_orbits(home_system) - 1), "")
# if we couldn't create the planet, report an error and return an empty list
if planet == fo.invalid_object():
report_error("Python generate_home_system_list: couldn't create planet in home system")
return []
# finally, check again if all home systems meet the criteria of having the required minimum number of planets
# within their near vicinity, if not, add the missing number of planets
print "Checking if home systems have the required minimum of planets within the near vicinity..."
for home_system in home_systems:
# calculate the number of missing planets, and add them if this number is > 0
systems_in_vicinity = get_systems_within_jumps(home_system, HS_VICINITY_RANGE)
num_systems_in_vicinity = len(systems_in_vicinity)
num_planets_in_vicinity = count_planets_in_systems(systems_in_vicinity)
num_planets_to_add = min_planets_in_vicinity_limit(num_systems_in_vicinity) - num_planets_in_vicinity
print "Home system", home_system, "has", num_systems_in_vicinity, "systems and", num_planets_in_vicinity,\
"planets in the near vicinity, required minimum:", min_planets_in_vicinity_limit(num_systems_in_vicinity)
if num_planets_to_add > 0:
systems_in_vicinity.remove(home_system) # don't add planets to the home system, so remove it from the list
add_planets_to_vicinity(systems_in_vicinity, num_planets_to_add)
# as we've sorted the home system list before, lets shuffle it to ensure random order and return
random.shuffle(home_systems)
return home_systems
