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
base_chance = universe_tables.SPECIALS_FREQUENCY[specials_freq]
if base_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("... {:30}: spawn rate {:2.3f} / spawn limit {}".format(
special, fo.special_spawn_rate(special),
fo.special_spawn_limit(special)))
objects_needing_specials = [
obj for obj in universe_objects if random.random() < base_chance
]
track_num_placed = {obj: 0 for obj in universe_objects}
print(
"Base chance for specials is {}. Placing specials on {} of {} ({:1.4f})objects"
.format(
base_chance,
len(objects_needing_specials),
len(universe_objects),
float(len(objects_needing_specials)) / len(universe_objects),
))
obj_tuple_needing_specials = set(
zip(
objects_needing_specials,
fo.objs_get_systems(objects_needing_specials),
calculate_number_of_specials_to_place(objects_needing_specials),
))
# Equal to the largest distance in WithinStarlaneJumps conditions
# GALAXY_DECOUPLING_DISTANCE is used as follows. For any two or more objects
# at least GALAXY_DECOUPLING_DISTANCE appart you only need to check
# fo.special_locations once and then you can place as many specials as possible,
# subject to number restrictions.
#
# Organize the objects into sets where all objects are spaced GALAXY_DECOUPLING_DISTANCE
# appart. Place a special on each one. Repeat until you run out of specials or objects.
GALAXY_DECOUPLING_DISTANCE = 6
while obj_tuple_needing_specials:
systems_needing_specials = defaultdict(set)
for (obj, system, specials_count) in obj_tuple_needing_specials:
systems_needing_specials[system].add((obj, system, specials_count))
print(" Placing in {} locations remaining.".format(
len(systems_needing_specials)))
# Find a list of candidates all spaced GALAXY_DECOUPLING_DISTANCE apart
candidates = []
while systems_needing_specials:
random_sys = random.choice(list(systems_needing_specials.values()))
member = random.choice(list(random_sys))
obj, system, specials_count = member
candidates.append(obj)
obj_tuple_needing_specials.remove(member)
if specials_count > 1:
obj_tuple_needing_specials.add(
(obj, system, specials_count - 1))
# remove all neighbors from the local pool
for neighbor in fo.systems_within_jumps_unordered(
GALAXY_DECOUPLING_DISTANCE, [system]):
if neighbor in systems_needing_specials:
systems_needing_specials.pop(neighbor)
print("Caching specials_locations() at {} of {} remaining locations.".
format(str(len(candidates)),
str(len(obj_tuple_needing_specials) + len(candidates))))
# Get the locations at which each special can be placed
locations_cache = {}
for special in specials:
# The fo.special_locations in the following line consumes most of the time in this
# function. Decreasing GALAXY_DECOUPLING_DISTANCE will speed up the whole
# function by reducing the number of times this needs to be called.
locations_cache[special] = set(
fo.special_locations(special, candidates))
# Attempt to apply a special to each candidate
# by finding a special that can be applied to it and hasn't been added too many times
for obj in candidates:
# 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)
specials = [
s for s in specials if universe_statistics.specials_summary[s]
< fo.special_spawn_limit(s)
]
if not specials:
break
# Find which specials can be placed at this one location
local_specials = [
sp for sp in specials if obj in locations_cache[sp]
]
if not local_specials:
universe_statistics.specials_repeat_dist[0] += 1
continue
# All prerequisites and the test have been met, now add this special to this universe object.
track_num_placed[obj] += place_special(local_specials, obj)
for num_placed in track_num_placed.values():
universe_statistics.specials_repeat_dist[num_placed] += 1
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
base_chance = universe_tables.SPECIALS_FREQUENCY[specials_freq]
if base_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("... {:30}: spawn rate {:2.3f} / spawn limit {}".
format(special, fo.special_spawn_rate(special), fo.special_spawn_limit(special)))
objects_needing_specials = [obj for obj in universe_objects if random.random() < base_chance]
track_num_placed = {obj: 0 for obj in universe_objects}
print("Base chance for specials is {}. Placing specials on {} of {} ({:1.4f})objects"
.format(base_chance, len(objects_needing_specials), len(universe_objects),
float(len(objects_needing_specials)) / len(universe_objects)))
obj_tuple_needing_specials = set(zip(objects_needing_specials,
fo.objs_get_systems(objects_needing_specials),
calculate_number_of_specials_to_place(objects_needing_specials)))
# Equal to the largest distance in WithinStarlaneJumps conditions
# GALAXY_DECOUPLING_DISTANCE is used as follows. For any two or more objects
# at least GALAXY_DECOUPLING_DISTANCE appart you only need to check
# fo.special_locations once and then you can place as many specials as possible,
# subject to number restrictions.
#
# Organize the objects into sets where all objects are spaced GALAXY_DECOUPLING_DISTANCE
# appart. Place a special on each one. Repeat until you run out of specials or objects.
GALAXY_DECOUPLING_DISTANCE = 6
while obj_tuple_needing_specials:
systems_needing_specials = defaultdict(set)
for (obj, system, specials_count) in obj_tuple_needing_specials:
systems_needing_specials[system].add((obj, system, specials_count))
print " Placing in {} locations remaining.".format(len(systems_needing_specials))
# Find a list of candidates all spaced GALAXY_DECOUPLING_DISTANCE apart
candidates = []
while systems_needing_specials:
random_sys = random.choice(systems_needing_specials.values())
member = random.choice(list(random_sys))
obj, system, specials_count = member
candidates.append(obj)
obj_tuple_needing_specials.remove(member)
if specials_count > 1:
obj_tuple_needing_specials.add((obj, system, specials_count - 1))
# remove all neighbors from the local pool
for neighbor in fo.systems_within_jumps_unordered(GALAXY_DECOUPLING_DISTANCE, [system]):
if neighbor in systems_needing_specials:
systems_needing_specials.pop(neighbor)
print("Caching specials_locations() at {} of {} remaining locations.".
format(str(len(candidates)), str(len(obj_tuple_needing_specials) + len(candidates))))
# Get the locations at which each special can be placed
locations_cache = {}
for special in specials:
# The fo.special_locations in the following line consumes most of the time in this
# function. Decreasing GALAXY_DECOUPLING_DISTANCE will speed up the whole
# function by reducing the number of times this needs to be called.
locations_cache[special] = set(fo.special_locations(special, candidates))
# Attempt to apply a special to each candidate
# by finding a special that can be applied to it and hasn't been added too many times
for obj in candidates:
# 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)
specials = [s for s in specials if universe_statistics.specials_summary[s] < fo.special_spawn_limit(s)]
if not specials:
break
# Find which specials can be placed at this one location
local_specials = [sp for sp in specials if obj in locations_cache[sp]]
if not local_specials:
universe_statistics.specials_repeat_dist[0] += 1
continue
# All prerequisites and the test have been met, now add this special to this universe object.
track_num_placed[obj] += place_special(local_specials, obj)
for num_placed in track_num_placed.values():
universe_statistics.specials_repeat_dist[num_placed] += 1
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 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