Some bugs appear in demp_plot_2D

[Thunderabc]

Good afternoon! When I'm working with this package, I'm getting an array mismatch error that seems to be due to a discrepancy between variables and their settings. How should I resolve this?

[ntienvu]

Hi,

Can you please provide more context on which line of code resulting in this bug ?

It is likely due to the different numpy version. Can you downgrade your numpy to be earlier version, such as numpy = 1.10.0

[Thunderabc]

Thank you!More details about this bug:~\AppData\Local\Temp\ipykernel_10888\454163803.py in
1 print("initializing with 2 points - please wait...")
----> 2 boil.init(n_init_points=2)
3
4 print("done initialization")

~\Desktop\BOIL-master\bayes_opt\sequentialBO\boil.py in init(self, n_init_points, seed)
174
175 # Evaluate target function at all initialization
--> 176 y_init_curves, y_init_cost=self.f(init_X)
177
178 y_init_cost=np.atleast_2d(np.asarray(y_init_cost))#.astype('Float64')

~\Desktop\BOIL-master\bayes_opt\test_functions\drl_experiments.py in func(self, X)
55 elapse = [output[1]]
56 else:
---> 57 output = np.apply_along_axis(self.evaluate, 1, X)
58 Reward = output[:, 0].tolist()
59 elapse = output[:, 1].tolist()

<array_function internals> in apply_along_axis(*args, **kwargs)

D:\ANACONDA\envs\gpbss2\lib\site-packages\numpy\lib\shape_base.py in apply_along_axis(func1d, axis, arr, *args, **kwargs)
377 'Cannot apply_along_axis when any iteration dimensions are 0'
378 ) from None
--> 379 res = asanyarray(func1d(inarr_view[ind0], *args, **kwargs))
380
381 # build a buffer for storing evaluations of func1d.

~\Desktop\BOIL-master\bayes_opt\test_functions\drl_experiments.py in evaluate(self, X, unwrap, display)
107
108 for e in range(N):
--> 109 totalrewards[e], t = ag.nextEpisode(env, t, display=display)
110 end_time = time.time()
111 elapse = end_time-start_time

~\Desktop\BOIL-master\bayes_opt\test_functions\drl\agents.py in nextEpisode(self, env, time, display)
84 for t in range(time, time + self.params["maxSteps"]):
85 action = self.act(observation, t)
---> 86 prev_obs = observation
87 if time_mod.time() - last_step < 0.01: # to avoid Mujoco error
88 time_mod.sleep(0.01)

~\Desktop\BOIL-master\bayes_opt\test_functions\drl\agents.py in act(self, state, time)
59 def act(self, state, time):
60 action = self._act(self.norm_state(np.atleast_2d(state)), time)
---> 61 return self.denorm_act(action)
62
63 def _act(self, state, time):

~\Desktop\BOIL-master\bayes_opt\test_functions\drl\agents.py in (s)
37 self.norm_state = (lambda s:
38 (np.reshape(s, (1, *state_space.shape)) - self.state_scale[0]) / self.state_scale[1])
---> 39 self.state_ph = tf.placeholder(tf.float32, shape=(None, *self.in_shape), name='obs')
40
41 if isinstance(action_space, gym.spaces.Discrete):
And Could you please provide the python-verision you used in this package? I tried 3.8/3.7, it seems none of them are compatible