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