def name_planets(system):
"""
Sets the names of the planets of the specified system.
Planet name is system name + planet number (as roman number)
unless it's an asteroid belt, in that case name is system
name + 'asteroid belt' (localized).
"""
# iterate over all planets in the system
sys_name = fo.get_name(system)
for planet in fo.sys_get_planets(system):
name = fo.user_string("NEW_PLANET_NAME")
name = name.replace("%1%", sys_name)
name = name.replace("%2%", fo.planet_cardinal_suffix(planet))
fo.set_name(planet, name)
def name_planets(system):
"""
Sets the names of the planets of the specified system.
Planet name is system name + planet number (as roman number)
unless it's an asteroid belt, in that case name is system
name + 'asteroid belt' (localized).
"""
planet_number = 1
# iterate over all planets in the system
for planet in fo.sys_get_planets(system):
# use different naming methods for "normal" planets and asteroid belts
if fo.planet_get_type(planet) == fo.planetType.asteroids:
# get localized text from stringtable
name = fo.user_string("PL_ASTEROID_BELT_OF_SYSTEM")
# %1% parameter in the localized string is the system name
name = name.replace("%1%", fo.get_name(system))
else:
# set name to system name + planet number as roman number...
name = fo.get_name(system) + " " + fo.roman_number(planet_number)
# ...and increase planet number
planet_number += 1
# do the actual renaming
fo.set_name(planet, name)
def name_star_systems(system_list):
# choose star types and planet sizes, before choosing names, so naming can have special handling of Deep Space
star_type_assignments = {}
planet_assignments = {}
position_list = []
for system in system_list:
star_type = fo.sys_get_star_type(system)
systemxy = fo.get_pos(system)
star_type_assignments[systemxy] = star_type
planet_assignments[systemxy] = fo.sys_get_planets(system)
position_list.append(systemxy)
# will name name a portion of stars on a group basis, where the stars of each group share the same base star name,
# suffixed by different (default greek) letters or characters (options at top of file)
star_name_map = {}
star_names = names.get_name_list("STAR_NAMES")
group_names = names.get_name_list("STAR_GROUP_NAMES")
potential_group_names = []
individual_names = []
stargroup_words[:] = names.get_name_list("STAR_GROUP_WORDS")
stargroup_chars[:] = names.get_name_list("STAR_GROUP_CHARS")
stargroup_modifiers[:] = [stargroup_words, stargroup_chars][options.STAR_GROUPS_USE_CHARS]
for starname in star_names:
if len(starname) > 6: # if starname is long, don't allow it for groups
individual_names.append(starname)
continue
# any names that already have a greek letter in them can only be used for individual stars, not groups
for namepart in starname.split():
if namepart in greek_letters:
individual_names.append(starname)
break
else:
potential_group_names.append(starname)
if not potential_group_names:
potential_group_names.append("XYZZY")
# ensure at least a portion of galaxy gets individual starnames
num_systems = len(system_list)
target_indiv_ratio = [options.TARGET_INDIV_RATIO_SMALL, options.TARGET_INDIV_RATIO_LARGE]\
[num_systems >= options.NAMING_LARGE_GALAXY_SIZE]
# TODO improve the following calc to be more likely to hit target_indiv_ratio if more or less than
# 50% potential_group_names used for groups
num_individual_stars = int(max(min(num_systems * target_indiv_ratio,
len(individual_names)+int(0.5 * len(potential_group_names))),
num_systems - 0.8 * len(stargroup_modifiers) *
(len(group_names)+int(0.5 * len(potential_group_names)))))
star_group_size = 1 + int((num_systems - num_individual_stars) /
(max(1, len(group_names)+int(0.5 * len(potential_group_names)))))
# make group size a bit bigger than min necessary, at least a trio
star_group_size = max(3, star_group_size)
num_star_groups = 1 + int(num_systems/star_group_size) # initial value
# first cluster all systems, then remove some to be individually named (otherwise groups can have too many
# individually named systems in their middle). First remove any that are too small (only 1 or 2 systems).
# The clusters with the most systems are generally the most closely spaced, and though they might make good
# logical candidates for groups, their names are then prone to overlapping on the galaxy map, so after removing
# small groups, remove the groups with the most systems.
random.shuffle(position_list) # just to be sure it is randomized
init_cluster_assgts = cluster_stars(position_list, num_star_groups)
star_groups = {}
for index_pos, index_group in enumerate(init_cluster_assgts):
systemxy = position_list[index_pos]
star_groups.setdefault(index_group, []).append(systemxy)
indiv_systems = []
# remove groups with only one non-deep-system
for groupindex, group_list in star_groups.items():
max_can_transfer = len(potential_group_names)-len(star_groups)+len(individual_names)-len(indiv_systems)
if max_can_transfer <= 0:
break
elif max_can_transfer <= len(group_list):
continue
not_deep, deep_space = check_deep_space(group_list, star_type_assignments, planet_assignments)
if len(not_deep) > 1:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
# remove tiny groups
group_sizes = [(len(group), index) for index, group in star_groups.items()]
group_sizes.sort()
while len(indiv_systems) < num_individual_stars and len(group_sizes) > 0:
groupsize, groupindex = group_sizes.pop()
max_can_transfer = len(potential_group_names)-len(star_groups)+len(individual_names)-len(indiv_systems)
if (max_can_transfer <= 0) or (groupsize > 2):
break
if max_can_transfer <= groupsize:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
# remove largest (likely most compact) groups
while len(indiv_systems) < num_individual_stars and len(group_sizes) > 0:
groupsize, groupindex = group_sizes.pop(-1)
max_can_transfer = len(potential_group_names)-len(star_groups)+len(individual_names)-len(indiv_systems)
if max_can_transfer <= 0:
break
if max_can_transfer <= groupsize:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
num_star_groups = len(star_groups)
num_individual_stars = len(indiv_systems)
random.shuffle(potential_group_names)
random.shuffle(individual_names)
random.shuffle(group_names)
num_for_indiv = min(max(len(potential_group_names)/2, num_individual_stars+1-len(individual_names)),
len(potential_group_names))
individual_names.extend(potential_group_names[:num_for_indiv])
group_names.extend(potential_group_names[num_for_indiv:])
#print "sampling for %d indiv names from list of %d total indiv names"%(num_individual_stars, len(individual_names))
indiv_name_sample = random.sample(individual_names, num_individual_stars)
#indiv_name_assignments = zip([(pos.x, pos.y) for pos in position_list[:num_individual_stars]], indiv_name_sample)
indiv_name_assignments = zip(indiv_systems, indiv_name_sample)
star_name_map.update(indiv_name_assignments)
#print "sampling for %d group names from list of %d total group names"%(num_star_groups, len(group_names))
if len(group_names) < num_star_groups:
group_names.extend([names.random_name(6) for _ in range(num_star_groups - len(group_names))])
group_name_sample = random.sample(group_names, num_star_groups)
for index_group, group_list in enumerate(sorted(star_groups.values())):
star_name_map.update(name_group(group_list, group_name_sample[index_group], star_type_assignments,
planet_assignments))
# assign names from star_name_map to star systems
for system in system_list:
fo.set_name(system, star_name_map.get(fo.get_pos(system), "") or random_star_name())
def name_star_systems(system_list):
# choose star types and planet sizes, before choosing names, so naming can have special handling of Deep Space
star_type_assignments = {}
planet_assignments = {}
position_list = []
for system in system_list:
star_type = fo.sys_get_star_type(system)
systemxy = fo.get_pos(system)
star_type_assignments[systemxy] = star_type
planet_assignments[systemxy] = fo.sys_get_planets(system)
position_list.append(systemxy)
# will name name a portion of stars on a group basis, where the stars of each group share the same base star name,
# suffixed by different (default greek) letters or characters (options at top of file)
star_name_map = {}
star_names = names.get_name_list("STAR_NAMES")
group_names = names.get_name_list("STAR_GROUP_NAMES")
potential_group_names = []
individual_names = []
stargroup_words[:] = names.get_name_list("STAR_GROUP_WORDS")
stargroup_chars[:] = names.get_name_list("STAR_GROUP_CHARS")
stargroup_modifiers[:] = [stargroup_words,
stargroup_chars][options.STAR_GROUPS_USE_CHARS]
for starname in star_names:
if len(starname) > 6: # if starname is long, don't allow it for groups
individual_names.append(starname)
continue
# any names that already have a greek letter in them can only be used for individual stars, not groups
for namepart in starname.split():
if namepart in greek_letters:
individual_names.append(starname)
break
else:
potential_group_names.append(starname)
if not potential_group_names:
potential_group_names.append("XYZZY")
# ensure at least a portion of galaxy gets individual starnames
num_systems = len(system_list)
choice = num_systems >= options.NAMING_LARGE_GALAXY_SIZE
target_indiv_ratio = [
options.TARGET_INDIV_RATIO_SMALL, options.TARGET_INDIV_RATIO_LARGE
][choice]
# TODO improve the following calc to be more likely to hit target_indiv_ratio if more or less than
# 50% potential_group_names used for groups
num_individual_stars = int(
max(
min(num_systems * target_indiv_ratio,
len(individual_names) + int(0.5 * len(potential_group_names))),
num_systems - 0.8 * len(stargroup_modifiers) *
(len(group_names) + int(0.5 * len(potential_group_names))),
))
star_group_size = 1 + int(
(num_systems - num_individual_stars) /
(max(1,
len(group_names) + int(0.5 * len(potential_group_names)))))
# make group size a bit bigger than min necessary, at least a trio
star_group_size = max(3, star_group_size)
num_star_groups = 1 + int(num_systems / star_group_size) # initial value
# first cluster all systems, then remove some to be individually named (otherwise groups can have too many
# individually named systems in their middle). First remove any that are too small (only 1 or 2 systems).
# The clusters with the most systems are generally the most closely spaced, and though they might make good
# logical candidates for groups, their names are then prone to overlapping on the galaxy map, so after removing
# small groups, remove the groups with the most systems.
random.shuffle(position_list) # just to be sure it is randomized
init_cluster_assgts = cluster_stars(position_list, num_star_groups)
star_groups = {}
for index_pos, index_group in enumerate(init_cluster_assgts):
systemxy = position_list[index_pos]
star_groups.setdefault(index_group, []).append(systemxy)
indiv_systems = []
# remove groups with only one non-deep-system
for groupindex, group_list in list(star_groups.items()):
max_can_transfer = len(potential_group_names) - len(star_groups) + len(
individual_names) - len(indiv_systems)
if max_can_transfer <= 0:
break
elif max_can_transfer <= len(group_list):
continue
not_deep, deep_space = check_deep_space(group_list,
star_type_assignments,
planet_assignments)
if len(not_deep) > 1:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
# remove tiny groups
group_sizes = [(len(group), index) for index, group in star_groups.items()]
group_sizes.sort()
while len(indiv_systems) < num_individual_stars and len(group_sizes) > 0:
groupsize, groupindex = group_sizes.pop()
max_can_transfer = len(potential_group_names) - len(star_groups) + len(
individual_names) - len(indiv_systems)
if (max_can_transfer <= 0) or (groupsize > 2):
break
if max_can_transfer <= groupsize:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
# remove largest (likely most compact) groups
while len(indiv_systems) < num_individual_stars and len(group_sizes) > 0:
groupsize, groupindex = group_sizes.pop(-1)
max_can_transfer = len(potential_group_names) - len(star_groups) + len(
individual_names) - len(indiv_systems)
if max_can_transfer <= 0:
break
if max_can_transfer <= groupsize:
continue
for systemxy in star_groups[groupindex]:
indiv_systems.append(systemxy)
del star_groups[groupindex]
num_star_groups = len(star_groups)
num_individual_stars = len(indiv_systems)
random.shuffle(potential_group_names)
random.shuffle(individual_names)
random.shuffle(group_names)
num_for_indiv = min(
max(
len(potential_group_names) // 2,
num_individual_stars + 1 - len(individual_names)),
len(potential_group_names),
)
individual_names.extend(potential_group_names[:num_for_indiv])
group_names.extend(potential_group_names[num_for_indiv:])
# print "sampling for %d indiv names from list of %d total indiv names" % (
# num_individual_stars, len(individual_names))
indiv_name_sample = random.sample(individual_names, num_individual_stars)
# indiv_name_assignments = zip([(pos.x, pos.y) for pos in position_list[:num_individual_stars]], indiv_name_sample)
star_name_map.update(zip(indiv_systems, indiv_name_sample))
# print "sampling for %d group names from list of %d total group names"%(num_star_groups, len(group_names))
if len(group_names) < num_star_groups:
group_names.extend([
names.random_name(6)
for _ in range(num_star_groups - len(group_names))
])
group_name_sample = random.sample(group_names, num_star_groups)
for index_group, group_list in enumerate(sorted(star_groups.values())):
star_name_map.update(
name_group(group_list, group_name_sample[index_group],
star_type_assignments, planet_assignments))
# assign names from star_name_map to star systems
for system in system_list:
fo.set_name(
system,
star_name_map.get(fo.get_pos(system), "") or random_star_name())