Traceback (most recent call last):


 "C:\Users\wangz\Desktop\uGo\train.py", line 185, in <module>

training_pipeline.run()


 "C:\Users\wangz\Desktop\uGo\train.py", line 159, in run

self.collect_selfplay_data(self.play_batch_size)


 "C:\Users\wangz\Desktop\uGo\train.py", line 79, in collect_selfplay_data

temp=self.temp)


 "C:\Users\wangz\Desktop\uGo\game.py", line 201, in start_self_play

return_prob=1)


 "C:\Users\wangz\Desktop\uGo\mcts_alphaZero.py", line 190, in get_action

acts, probs = self.mcts.get_move_probs(board, temp)


 "C:\Users\wangz\Desktop\uGo\mcts_alphaZero.py", line 152, in get_move_probs

acts, visits = zip(*act_visits)
ValueError: not enough values to unpack (expected 2, got 0)

Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "/home/aliman/miniconda3/envs/dev-scikit-allel-py36/lib/python3.6/site-packages/dask/array/core.py", line 629, in map_blocks

dtype = apply_infer_dtype(func, args, kwargs2, 'map_blocks')


 "/home/aliman/miniconda3/envs/dev-scikit-allel-py36/lib/python3.6/site-packages/dask/array/core.py", line 470, in apply_infer_dtype

raise ValueError(msg)
ValueError: `dtype` inference failed in `map_blocks`.
