Пример #1
0
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)
Пример #2
0
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)
Пример #3
0
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())
Пример #4
0
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())