def test_mixed_autoencoder():
mm = stparser.MapManager()
fba = FindBestAutoencoder(mm)
print("Building model")
model = fba.build_and_train_mixed_model(7, 140, 70, 200)
print("mixed model results: ", fba.test_mixed_model(model, 7))
print("mixed model environment only results: ", fba.test_mixed_model_environment(model, 7))
def test_autoencoding_paths():
mm = stparser.MapManager()
fba = FindBestAutoencoder(mm)
#fba.perform_batch_test(7,200)
print("Building model")
model = fba.build_and_train_path_model(7, 140, 70, 200)
print(fba.test_path_model(model, 7))
def build_save_and_test_frequency_table(filename):
mm = stparser.MapManager()
gnm = GenerateNoisyMap(mm)
print("Please wait...generating frequency table from levels")
gnm.calculate_frequency_from_levels(LEVEL_LIST)
print("Saving frequency table to csv file")
gnm.save_frequency_table("solid_tile_frequency.csv")
print("validating csv file")
gnm2 = GenerateNoisyMap(mm)
gnm2.load_frequency_table("solid_tile_frequency.csv")
test_level.write_slice(lslice.reshape((7, 36)), 7 * c)
test_map.add_tilemap(test_level)
map_slice = test_map.get_slice(0, 200)
stparser.show_image_in_window(
stparser.generate_image_from_slice(map_slice))
def show_map(map):
shape = map.get_map_size()
map_slice = map.get_slice(0, shape[0])
stparser.show_image_in_window(
stparser.generate_image_from_slice(map_slice))
if __name__ == '__main__':
mm = stparser.MapManager()
gnm = GenerateNoisyMap(mm)
gnm.load_frequency_table("solid_tile_frequency.csv")
# build_and_show_noise_level(mm, gnm)
gen = LevelGenerator(mm)
# gen.create_model()
#gen.model.save("st_generator.h5")
model = STModel.STModel()
model.create_model(36 * 7, 36 * 5, 36 * 3 + 18)
model.load("st_generator.h5")
gen.set_model(model)
# map = gen.generate_block_level(500)
successes = 0
for test in range(100):
map = gen.generate_slide_level(500, 0)
def setUpClass(cls):
cls.mm = stparser.MapManager()
cls.test_level_filename = "levels/test/burnnmelt.stl"
cls.level = cls.mm.get_map(cls.test_level_filename)
cls.solid_map = cls.level.get_combined_solid()
def test_path_to_env_autoencoder():
mm = stparser.MapManager()
fba = FindBestAutoencoder(mm)
print("Building model")
model = fba.build_and_train_path_to_env_model(7, 140, 70, 400)
print(fba.test_path_to_env_model(model, 7))