exit(1)
#
# Load places.
#
places = Places(bool(options.dump_file))
for place in options.load_inputs(input_files, geometry, options.name_field, options.placement_field):
places.add(place)
#
# Do the annealing.
#
annealer = Annealer(lambda p: p.energy, lambda p: p.move())
if options.temp_min and options.temp_max and options.steps:
annealed, e = annealer.anneal(places, options.temp_max, options.temp_min, options.steps, 30)
else:
annealed = [None] * places.count()
for (group, (places_local, indexes, weight, connections)) in enumerate(places.in_pieces()):
if len(indexes) > 1:
print 'Placing', ', '.join(sorted([place.name.encode('utf-8', 'replace') for place in places_local]))
try:
start = time()
minutes = options.minutes * float(weight) / connections
places_local, e = annealer.auto(places_local, minutes, min(100, weight * 20), verbose=minutes>.3)
# Load places.
#
places = Places(bool(options.dump_file))
for place in load_places(input_files, geometry, options.name_field):
places.add(place)
def state_energy(places):
return places.energy
def state_move(places):
places.move()
try:
annealer = Annealer(state_energy, state_move)
if options.temp_min and options.temp_max and options.steps:
places, e = annealer.anneal(places, options.temp_max, options.temp_min, options.steps, 30)
else:
places, e = annealer.auto(places, options.minutes, 500)
except NothingToDo:
pass
label_data = {'type': 'FeatureCollection', 'features': []}
place_data = {'type': 'FeatureCollection', 'features': []}
rgstr_data = {'type': 'FeatureCollection', 'features': []}
placed = FootprintIndex(geometry)
optparser.print_usage()
exit(1)
places = Places(bool(options.dump_file))
for place in load_places(input_files, options.zoom):
places.add(place)
def state_energy(places):
return places.energy
def state_move(places):
places.move()
try:
annealer = Annealer(state_energy, state_move)
if options.temp_min and options.temp_max and options.steps:
places, e = annealer.anneal(places, options.temp_max,
options.temp_min, options.steps, 30)
else:
places, e = annealer.auto(places, options.minutes, 500)
except NothingToDo:
pass
label_data = {'type': 'FeatureCollection', 'features': []}
place_data = {'type': 'FeatureCollection', 'features': []}
rgstr_data = {'type': 'FeatureCollection', 'features': []}
placed = FootprintIndex(options.zoom)
exit(1)
#
# Load places.
#
places = Places(bool(options.dump_file))
for place in options.load_inputs(input_files, geometry, options.name_field, options.placement_field):
places.add(place)
#
# Do the annealing.
#
annealer = Annealer(lambda p: p.energy, lambda p: p.move())
if places.count() == 0:
# looks like there's nothing to actually do.
annealed = []
elif options.temp_min and options.temp_max and options.steps:
# soon-to-be-deprecated explicit temperatures-and-steps method
annealed, e = annealer.anneal(places, options.temp_max, options.temp_min, options.steps, 30)
elif options.processes == 1:
# don't bother with multiprocessing when there's just the one
annealed = anneal_in_serial(places)
else:
# use multiprocessing to work through pieces in parallel
#
# Load places.
#
places = Places(bool(options.dump_file))
for place in options.load_inputs(input_files, geometry, options.name_field,
options.placement_field):
places.add(place)
#
# Do the annealing.
#
annealer = Annealer(lambda p: p.energy, lambda p: p.move())
if places.count() == 0:
# looks like there's nothing to actually do.
annealed = []
elif options.temp_min and options.temp_max and options.steps:
# soon-to-be-deprecated explicit temperatures-and-steps method
annealed, e = annealer.anneal(places, options.temp_max,
options.temp_min, options.steps, 30)
elif options.processes == 1:
# don't bother with multiprocessing when there's just the one
annealed = anneal_in_serial(places)
else: