def generate_world(w, step):
if isinstance(step, str):
step = Step.get_by_name(step)
if not step.include_precipitations:
return w
# Prepare sufficient seeds for the different steps of the generation
rng = numpy.random.RandomState(w.seed) # create a fresh RNG in case the global RNG is compromised (i.e. has been queried an indefinite amount of times before generate_world() was called)
sub_seeds = rng.randint(0, numpy.iinfo(numpy.int32).max, size=100) # choose lowest common denominator (32 bit Windows numpy cannot handle a larger value)
seed_dict = {
'PrecipitationSimulation': sub_seeds[ 0], # after 0.19.0 do not ever switch out the seeds here to maximize seed-compatibility
'ErosionSimulation': sub_seeds[ 1],
'WatermapSimulation': sub_seeds[ 2],
'IrrigationSimulation': sub_seeds[ 3],
'TemperatureSimulation': sub_seeds[ 4],
'HumiditySimulation': sub_seeds[ 5],
'PermeabilitySimulation': sub_seeds[ 6],
'BiomeSimulation': sub_seeds[ 7],
'IcecapSimulation': sub_seeds[ 8],
'': sub_seeds[99]
}
TemperatureSimulation().execute(w, seed_dict['TemperatureSimulation'])
# Precipitation with thresholds
PrecipitationSimulation().execute(w, seed_dict['PrecipitationSimulation'])
if not step.include_erosion:
return w
ErosionSimulation().execute(w, seed_dict['ErosionSimulation']) # seed not currently used
if get_verbose():
print("...erosion calculated")
WatermapSimulation().execute(w, seed_dict['WatermapSimulation']) # seed not currently used
# FIXME: create setters
IrrigationSimulation().execute(w, seed_dict['IrrigationSimulation']) # seed not currently used
HumiditySimulation().execute(w, seed_dict['HumiditySimulation']) # seed not currently used
PermeabilitySimulation().execute(w, seed_dict['PermeabilitySimulation'])
cm, biome_cm = BiomeSimulation().execute(w, seed_dict['BiomeSimulation']) # seed not currently used
for cl in cm.keys():
count = cm[cl]
if get_verbose():
print("%s = %i" % (str(cl), count))
if get_verbose():
print('') # empty line
print('Biome obtained:')
for cl in biome_cm.keys():
count = biome_cm[cl]
if get_verbose():
print(" %30s = %7i" % (str(cl), count))
IcecapSimulation().execute(w, seed_dict['IcecapSimulation']) # makes use of temperature-map
return w
def generate_world(w, step):
if isinstance(step, str):
step = Step.get_by_name(step)
if not step.include_precipitations:
return w
# Prepare sufficient seeds for the different steps of the generation
rng = numpy.random.RandomState(
w.seed
) # create a fresh RNG in case the global RNG is compromised (i.e. has been queried an indefinite amount of times before generate_world() was called)
sub_seeds = rng.randint(
0, numpy.iinfo(numpy.int32).max, size=100
) # choose lowest common denominator (32 bit Windows numpy cannot handle a larger value)
seed_dict = {
'PrecipitationSimulation': sub_seeds[
0], # after 0.19.0 do not ever switch out the seeds here to maximize seed-compatibility
'ErosionSimulation': sub_seeds[1],
'WatermapSimulation': sub_seeds[2],
'IrrigationSimulation': sub_seeds[3],
'TemperatureSimulation': sub_seeds[4],
'HumiditySimulation': sub_seeds[5],
'PermeabilitySimulation': sub_seeds[6],
'BiomeSimulation': sub_seeds[7],
'IcecapSimulation': sub_seeds[8],
'': sub_seeds[99]
}
TemperatureSimulation().execute(w, seed_dict['TemperatureSimulation'])
# Precipitation with thresholds
PrecipitationSimulation().execute(w, seed_dict['PrecipitationSimulation'])
if not step.include_erosion:
return w
ErosionSimulation().execute(
w, seed_dict['ErosionSimulation']) # seed not currently used
if get_verbose():
print("...erosion calculated")
WatermapSimulation().execute(
w, seed_dict['WatermapSimulation']) # seed not currently used
# FIXME: create setters
IrrigationSimulation().execute(
w, seed_dict['IrrigationSimulation']) # seed not currently used
HumiditySimulation().execute(
w, seed_dict['HumiditySimulation']) # seed not currently used
PermeabilitySimulation().execute(w, seed_dict['PermeabilitySimulation'])
cm, biome_cm = BiomeSimulation().execute(
w, seed_dict['BiomeSimulation']) # seed not currently used
for cl in cm.keys():
count = cm[cl]
if get_verbose():
print("%s = %i" % (str(cl), count))
if get_verbose():
print('') # empty line
print('Biome obtained:')
for cl in biome_cm.keys():
count = biome_cm[cl]
if get_verbose():
print(" %30s = %7i" % (str(cl), count))
IcecapSimulation().execute(
w, seed_dict['IcecapSimulation']) # makes use of temperature-map
return w
def load_world_to_hdf5(filename):
f = h5py.File(filename, libver='latest', mode='r')
w = World(
f['general/name'].value,
Size(f['general/width'].value, f['general/height'].value),
f['generation_params/seed'].value,
GenerationParameters(
f['generation_params/n_plates'].value,
f['generation_params/ocean_level'].value,
Step.get_by_name(f['generation_params/step'].value)))
# Elevation
e = numpy.array(f['elevation/data'])
e_th = [('sea', f['elevation/thresholds/sea'].value),
('plain', f['elevation/thresholds/plain'].value),
('hill', f['elevation/thresholds/hill'].value), ('mountain', None)]
w.set_elevation(e, e_th)
# Plates
w.set_plates(numpy.array(f['plates']))
# Ocean
w.set_ocean(numpy.array(f['ocean']))
w.set_sea_depth(numpy.array(f['sea_depth']))
# Biome
if 'biome' in f.keys():
biome_data = []
for y in range(w.height):
row = []
for x in range(w.width):
value = f['biome'][y, x]
row.append(biome_index_to_name(value))
biome_data.append(row)
biome = numpy.array(biome_data, dtype=object)
w.set_biome(biome)
if 'humidity' in f.keys():
data, quantiles = _from_hdf5_matrix_with_quantiles(f['humidity'])
w.set_humidity(data, quantiles)
if 'irrigation' in f.keys():
w.set_irrigation(numpy.array(f['irrigation']))
if 'permeability' in f.keys():
p = numpy.array(f['permeability/data'])
p_th = [('low', f['permeability/thresholds/low'].value),
('med', f['permeability/thresholds/med'].value), ('hig', None)]
w.set_permeability(p, p_th)
if 'watermap' in f.keys():
data = numpy.array(f['watermap/data'])
thresholds = {}
thresholds['creek'] = f['watermap/thresholds/creek'].value
thresholds['river'] = f['watermap/thresholds/river'].value
thresholds['main river'] = f['watermap/thresholds/mainriver'].value
w.set_watermap(data, thresholds)
if 'precipitation' in f.keys():
p = numpy.array(f['precipitation/data'])
p_th = [('low', f['precipitation/thresholds/low'].value),
('med', f['precipitation/thresholds/med'].value),
('hig', None)]
w.set_precipitation(p, p_th)
if 'temperature' in f.keys():
t = numpy.array(f['temperature/data'])
t_th = [('polar', f['temperature/thresholds/polar'].value),
('alpine', f['temperature/thresholds/alpine'].value),
('boreal', f['temperature/thresholds/boreal'].value),
('cool', f['temperature/thresholds/cool'].value),
('warm', f['temperature/thresholds/warm'].value),
('subtropical', f['temperature/thresholds/subtropical'].value),
('tropical', None)]
w.set_temperature(t, t_th)
if 'icecap' in f.keys():
w.set_icecap(numpy.array(f['icecap']))
if 'lake_map' in f.keys():
m = numpy.array(f['lake_map'])
w.set_lakemap(m)
if 'river_map' in f.keys():
m = numpy.array(f['river_map'])
w.set_rivermap(m)
f.close()
return w
def load_world_to_hdf5(filename):
f = h5py.File(filename, libver="latest", mode="r")
w = World(
f["general/name"].value,
Size(f["general/width"].value, f["general/height"].value),
f["generation_params/seed"].value,
GenerationParameters(
f["generation_params/n_plates"].value,
f["generation_params/ocean_level"].value,
Step.get_by_name(f["generation_params/step"].value),
),
)
# Elevation
e = numpy.array(f["elevation/data"])
e_th = [
("sea", f["elevation/thresholds/sea"].value),
("plain", f["elevation/thresholds/plain"].value),
("hill", f["elevation/thresholds/hill"].value),
("mountain", None),
]
w.set_elevation(e, e_th)
# Plates
w.set_plates(numpy.array(f["plates"]))
# Ocean
w.set_ocean(numpy.array(f["ocean"]))
w.set_sea_depth(numpy.array(f["sea_depth"]))
# Biome
if "biome" in f.keys():
biome_data = []
for y in range(w.height):
row = []
for x in range(w.width):
value = f["biome"][y, x]
row.append(biome_index_to_name(value))
biome_data.append(row)
biome = numpy.array(biome_data, dtype=object)
w.set_biome(biome)
if "humidity" in f.keys():
data, quantiles = _from_hdf5_matrix_with_quantiles(f["humidity"])
w.set_humidity(data, quantiles)
if "irrigation" in f.keys():
w.set_irrigation(numpy.array(f["irrigation"]))
if "permeability" in f.keys():
p = numpy.array(f["permeability/data"])
p_th = [
("low", f["permeability/thresholds/low"].value),
("med", f["permeability/thresholds/med"].value),
("hig", None),
]
w.set_permeability(p, p_th)
if "watermap" in f.keys():
data = numpy.array(f["watermap/data"])
thresholds = {}
thresholds["creek"] = f["watermap/thresholds/creek"].value
thresholds["river"] = f["watermap/thresholds/river"].value
thresholds["main river"] = f["watermap/thresholds/mainriver"].value
w.set_watermap(data, thresholds)
if "precipitation" in f.keys():
p = numpy.array(f["precipitation/data"])
p_th = [
("low", f["precipitation/thresholds/low"].value),
("med", f["precipitation/thresholds/med"].value),
("hig", None),
]
w.set_precipitation(p, p_th)
if "temperature" in f.keys():
t = numpy.array(f["temperature/data"])
t_th = [
("polar", f["temperature/thresholds/polar"].value),
("alpine", f["temperature/thresholds/alpine"].value),
("boreal", f["temperature/thresholds/boreal"].value),
("cool", f["temperature/thresholds/cool"].value),
("warm", f["temperature/thresholds/warm"].value),
("subtropical", f["temperature/thresholds/subtropical"].value),
("tropical", None),
]
w.set_temperature(t, t_th)
if "icecap" in f.keys():
w.set_icecap(numpy.array(f["icecap"]))
if "lake_map" in f.keys():
m = numpy.array(f["lake_map"])
w.set_lakemap(m)
if "river_map" in f.keys():
m = numpy.array(f["river_map"])
w.set_rivermap(m)
f.close()
return w
def load_world_to_hdf5(filename):
f = h5py.File(filename, libver='latest', mode='r')
w = World(f['general/name'].value,
Size(f['general/width'].value, f['general/height'].value),
f['generation_params/seed'].value,
GenerationParameters(f['generation_params/n_plates'].value,
f['generation_params/ocean_level'].value,
Step.get_by_name(f['generation_params/step'].value)))
# Elevation
e = numpy.array(f['elevation/data'])
e_th = [('sea', f['elevation/thresholds/sea'].value),
('plain', f['elevation/thresholds/plain'].value),
('hill', f['elevation/thresholds/hill'].value),
('mountain', None)]
w.elevation = (e, e_th)
# Plates
w.plates = numpy.array(f['plates'])
# Ocean
w.ocean = numpy.array(f['ocean'])
w.sea_depth = numpy.array(f['sea_depth'])
# Biome
if 'biome' in f.keys():
biome_data = []
for y in range(w.height):
row = []
for x in range(w.width):
value = f['biome'][y, x]
row.append(biome_index_to_name(value))
biome_data.append(row)
biome = numpy.array(biome_data, dtype=object)
w.biome = biome
if 'humidity' in f.keys():
data, quantiles = _from_hdf5_matrix_with_quantiles(f['humidity'])
w.humidity = (data, quantiles)
if 'irrigation' in f.keys():
w.irrigation = numpy.array(f['irrigation'])
if 'permeability' in f.keys():
p = numpy.array(f['permeability/data'])
p_th = [
('low', f['permeability/thresholds/low'].value),
('med', f['permeability/thresholds/med'].value),
('hig', None)
]
w.permeability = (p, p_th)
if 'watermap' in f.keys():
data = numpy.array(f['watermap/data'])
thresholds = {}
thresholds['creek'] = f['watermap/thresholds/creek'].value
thresholds['river'] = f['watermap/thresholds/river'].value
thresholds['main river'] = f['watermap/thresholds/mainriver'].value
w.watermap = (data, thresholds)
if 'precipitation' in f.keys():
p = numpy.array(f['precipitation/data'])
p_th = [
('low', f['precipitation/thresholds/low'].value),
('med', f['precipitation/thresholds/med'].value),
('hig', None)
]
w.precipitation = (p, p_th)
if 'temperature' in f.keys():
t = numpy.array(f['temperature/data'])
t_th = [
('polar', f['temperature/thresholds/polar'].value),
('alpine', f['temperature/thresholds/alpine'].value),
('boreal', f['temperature/thresholds/boreal'].value),
('cool', f['temperature/thresholds/cool'].value),
('warm', f['temperature/thresholds/warm'].value),
('subtropical', f['temperature/thresholds/subtropical'].value),
('tropical', None)
]
w.temperature = (t, t_th)
if 'icecap' in f.keys():
w.icecap = numpy.array(f['icecap'])
if 'lake_map' in f.keys():
w.lakemap = numpy.array(f['lake_map'])
if 'river_map' in f.keys():
w.rivermap = numpy.array(f['river_map'])
f.close()
return w
