def generate_plates(seed, world_name, output_dir, width, height,
num_plates=10):
"""
Eventually this method should be invoked when generation is called at
asked to stop at step "plates", it should not be a different operation
:param seed:
:param world_name:
:param output_dir:
:param width:
:param height:
:param num_plates:
:return:
"""
elevation, plates = generate_plates_simulation(seed, width, height,
num_plates=num_plates)
world = World(world_name, Size(width, height), seed, GenerationParameters(num_plates, -1.0, "plates"))
world.set_elevation(numpy.array(elevation).reshape(height, width), None)
world.set_plates(numpy.array(plates, dtype=numpy.uint16).reshape(height, width))
# Generate images
filename = '%s/plates_%s.png' % (output_dir, world_name)
draw_simple_elevation_on_file(world, filename, None)
print("+ plates image generated in '%s'" % filename)
geo.center_land(world)
filename = '%s/centered_plates_%s.png' % (output_dir, world_name)
draw_simple_elevation_on_file(world, filename, None)
print("+ centered plates image generated in '%s'" % filename)
def _plates_simulation(name,
width,
height,
seed,
temps=[.874, .765, .594, .439, .366, .124],
humids=[.941, .778, .507, .236, 0.073, .014, .002],
gamma_curve=1.25,
curve_offset=.2,
num_plates=10,
ocean_level=1.0,
step=Step.full(),
verbose=get_verbose()):
e_as_array, p_as_array = generate_plates_simulation(seed,
width,
height,
num_plates=num_plates,
verbose=verbose)
world = World(name, Size(width, height), seed,
GenerationParameters(num_plates, ocean_level, step), temps,
humids, gamma_curve, curve_offset)
world.set_elevation(numpy.array(e_as_array).reshape(height, width), None)
world.set_plates(
numpy.array(p_as_array, dtype=numpy.uint16).reshape(height, width))
return world
def _plates_simulation(name, width, height, seed, temps=
[.874, .765, .594, .439, .366, .124], humids=
[.941, .778, .507, .236, 0.073, .014, .002], gamma_curve=1.25,
curve_offset=.2, num_plates=10, ocean_level=1.0,
step=Step.full(), verbose=get_verbose()):
e_as_array, p_as_array = generate_plates_simulation(seed, width, height,
num_plates=num_plates,
verbose=verbose)
world = World(name, Size(width, height), seed,
GenerationParameters(num_plates, ocean_level, step),
temps, humids, gamma_curve, curve_offset)
world.set_elevation(numpy.array(e_as_array).reshape(height, width), None)
world.set_plates(numpy.array(p_as_array, dtype=numpy.uint16).reshape(height, width))
return world
def generate_plates(seed,
world_name,
output_dir,
width,
height,
num_plates=10):
"""
Eventually this method should be invoked when generation is called at
asked to stop at step "plates", it should not be a different operation
:param seed:
:param world_name:
:param output_dir:
:param width:
:param height:
:param num_plates:
:return:
"""
elevation, plates = generate_plates_simulation(seed,
width,
height,
num_plates=num_plates)
world = World(world_name, Size(width, height), seed,
GenerationParameters(num_plates, -1.0, "plates"))
world.set_elevation(numpy.array(elevation).reshape(height, width), None)
world.set_plates(
numpy.array(plates, dtype=numpy.uint16).reshape(height, width))
# Generate images
filename = '%s/plates_%s.png' % (output_dir, world_name)
draw_simple_elevation_on_file(world, filename, None)
print("+ plates image generated in '%s'" % filename)
geo.center_land(world)
filename = '%s/centered_plates_%s.png' % (output_dir, world_name)
draw_simple_elevation_on_file(world, filename, None)
print("+ centered plates image generated in '%s'" % filename)
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
