def test_watermap_rng_stabilty(self): seed = 12345 numpy.random.seed(seed) size = Size(16, 8) ocean = numpy.fromfunction(lambda y, x: y == x, (size.height, size.width)) percipitation = numpy.ones((size.height, size.width)) elevation = numpy.fromfunction(lambda y, x: y * x, (size.height, size.width)) t = numpy.zeros(5) w = World("watermap", size, seed, GenerationParameters(0, 1.0, 0)) w.ocean = ocean w.precipitation = (percipitation, t) w.elevation = (elevation, t) d = numpy.random.randint(0, 100) self.assertEqual(d, 98) data, t = WatermapSimulation._watermap(w, 200) self.assertAlmostEqual(data[4, 4], 0.0) self.assertAlmostEqual(data[3, 5], 4.20750776) d = numpy.random.randint(0, 100) self.assertEqual(d, 59)
def test_watermap_rng_stabilty(self): seed=12345 numpy.random.seed(seed) size = Size(16,8) ocean = numpy.fromfunction(lambda y, x: y==x, (size.height, size.width)) percipitation = numpy.ones((size.height, size.width)) elevation = numpy.fromfunction(lambda y, x: y*x, (size.height, size.width)) t = numpy.zeros(5) w = World("watermap", size, seed, GenerationParameters(0, 1.0, 0)) w.ocean = ocean w.precipitation = (percipitation, t) w.elevation = (elevation, t) d = numpy.random.randint(0,100) self.assertEqual(d, 98) data, t = WatermapSimulation._watermap(w, 200) self.assertAlmostEqual(data[4,4], 0.0) self.assertAlmostEqual(data[3,5], 4.20750776) d = numpy.random.randint(0,100) self.assertEqual(d, 59)
def test_watermap_does_not_break_with_no_land(self): seed = 12345 numpy.random.seed(seed) size = Size(16, 8) ocean = numpy.full((size.height, size.width), True, bool) w = World("watermap", size, seed, GenerationParameters(0, 1.0, 0)) w.ocean = ocean data, t = WatermapSimulation._watermap(w, 200)
def test_watermap_does_not_break_with_no_land(self): seed=12345 numpy.random.seed(seed) size = Size(16,8) ocean = numpy.full((size.height, size.width), True, bool) w = World("watermap", size, seed, GenerationParameters(0, 1.0, 0)) w.ocean = ocean data, t = WatermapSimulation._watermap(w, 200)
def test_random_land_returns_only_land(self): size = Size(100,90) ocean = numpy.fromfunction(lambda y, x: y>=x, (size.height, size.width)) w = World("random_land", size, 0, GenerationParameters(0, 1.0, 0)) w.ocean = ocean num_samples = 1000 land_indices = w.random_land(num_samples) for i in range(0, num_samples*2, 2): self.assertFalse(ocean[land_indices[i+1],land_indices[i]])
def test_random_land_returns_only_land(self): size = Size(100, 90) ocean = numpy.fromfunction(lambda y, x: y >= x, (size.height, size.width)) w = World("random_land", size, 0, GenerationParameters(0, 1.0, 0)) w.ocean = ocean num_samples = 1000 land_indices = w.random_land(num_samples) for i in range(0, num_samples * 2, 2): self.assertFalse(ocean[land_indices[i + 1], land_indices[i]])
def test_sea_depth(self): ocean_level = 1.0 extent = 11 w = World("sea_depth", Size(extent, extent), 0, GenerationParameters(0, ocean_level, 0), None) ocean = numpy.full([extent, extent], True) ocean[5, 5] = False elevation = numpy.zeros([extent, extent], float) elevation[5, 5] = 2.0 t = numpy.zeros([extent, extent]) w.elevation = (elevation, t) w.ocean = ocean desired_result = numpy.asarray([0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, \ 0.9, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, 0.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, -1.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, 0.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.9, \ 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]) desired_result = desired_result.reshape([extent, extent]) # this part is verbatim from the function. It's not part of the test # Some refactoring is in order to increase test quality desired_result = anti_alias(desired_result, 10) min_depth = desired_result.min() max_depth = desired_result.max() desired_result = (desired_result - min_depth) / (max_depth - min_depth) # end of verbatim part result = sea_depth(w, ocean_level) for y in range(extent): for x in range(extent): self.assertAlmostEqual(desired_result[y, x], result[y, x])
def test_sea_depth(self): ocean_level = 1.0 extent = 11 w = World("sea_depth", Size(extent,extent), 0, GenerationParameters(0, ocean_level, 0), None) ocean = numpy.full([extent,extent], True) ocean[5,5]=False elevation = numpy.zeros([extent,extent], float) elevation[5,5] = 2.0 t = numpy.zeros([extent, extent]) w.elevation = (elevation, t) w.ocean = ocean desired_result = numpy.asarray([0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, \ 0.9, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, 0.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, -1.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.0, 0.0, 0.0, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.7, 0.9, \ 0.9, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.9, \ 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]) desired_result = desired_result.reshape([extent,extent]) # this part is verbatim from the function. It's not part of the test # Some refactoring is in order to increase test quality desired_result = anti_alias(desired_result, 10) min_depth = desired_result.min() max_depth = desired_result.max() desired_result = (desired_result - min_depth) / (max_depth - min_depth) # end of verbatim part result = sea_depth(w, ocean_level) for y in range(extent): for x in range(extent): self.assertAlmostEqual(desired_result[y,x], result[y,x])
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
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