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, width, height, seed, num_plates, -1.0, "plates")
world.set_elevation(numpy.array(elevation).reshape(height, width), None)
world.set_plates(array_to_matrix(plates, width, height))
# Generate images
filename = '%s/plates_%s.png' % (output_dir, world_name)
# TODO calculate appropriate sea_level
sea_level = 1.0
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 world(self):
world = World(self.name, self.width, self.height, self.seed,
self.n_plates, self.ocean_level,
Step.get_by_name("plates"))
hm = platec.get_heightmap(self.p)
pm = platec.get_platesmap(self.p)
world.set_elevation(array_to_matrix(hm, self.width, self.height), None)
world.set_plates(array_to_matrix(pm, self.width, self.height))
return world
def _plates_simulation(name,
width,
height,
seed,
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, width, height, seed, num_plates, ocean_level, step)
world.set_elevation(numpy.array(e_as_array).reshape(height, width), None)
world.set_plates(array_to_matrix(p_as_array, width, height))
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, width, height, seed, 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 load_world_to_hdf5(filename):
f = h5py.File(filename, libver='latest', mode='r')
w = World(f['general/name'].value,
f['general/width'].value,
f['general/height'].value,
f['generation_params/seed'].value,
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.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)
# Humidity
# FIXME: use setters
if 'humidity' in f.keys():
w.humidity = _from_hdf5_matrix_with_quantiles(f['humidity'])
w.humidity['data'] = numpy.array(w.humidity['data']) # numpy conversion
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.set_permeability(p, p_th)
if 'watermap' in f.keys():
w.watermap = dict()
w.watermap['data'] = numpy.array(f['watermap/data'])
w.watermap['thresholds'] = {}
w.watermap['thresholds']['creek'] = f['watermap/thresholds/creek'].value
w.watermap['thresholds']['river'] = f['watermap/thresholds/river'].value
w.watermap['thresholds']['main river'] = f['watermap/thresholds/mainriver'].value
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.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
