import common
import utrain
import utest
N_EPOCHS = 1000
N_STEPS_PER_EPOCH = 80
dgargs = dict(rotation_range=90,
fill_mode='reflect',
horizontal_flip=True,
vertical_flip=True)
file_id = utrain.main(img_height=256,
batch_size=2,
epochs=N_EPOCHS,
steps_per_epoch=N_STEPS_PER_EPOCH,
aug=True,
chosen_validation=True,
rgb=False,
pretrained_weights=None,
monitor="val_acc",
root_folder=".",
data_gen_args=dgargs)
hdf5_path = os.path.join(common.RESULTS_PATH, file_id + ".hdf5")
subm_path = utest.main(
ckpt_path=hdf5_path,
use_max=True,
four_split=True,
training=False,
)
print(f"Saved submission file at {subm_path}.")
print('type invoke() to call my_func')
@utest.cond(equals(2))
def test_mapper_single_interrupt(self):
tim = pyb.Timer(1)
tim.init(freq=2)
@cmemgr.map_to_thread(tim.callback)
def led_blink():
with Indicator(1):
pyb.delay(30)
@utest.cond(equals(3))
def test_mapper_multi_interrupts(self):
TiTuple = namedtuple('TiTuple', ('tim', 'id'))
for info in [TiTuple(pyb.Timer(tim_id, freq=tim_id + 1), tim_id) for tim_id in (1, 2, 4)]:
@cmemgr.map_to_thread(info.tim.callback, info.id)
def led_blink(led_id):
with Indicator(led_id):
pyb.delay(30)
if __name__ == '__main__':
print('tests list:')
print('1. test for single thread')
print('2. test for single interrupt')
print('3. test for multi interrupts')
x = int(input('please choose one: '))
utest.main(x)