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 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
