Best Python code snippet using molecule_python
train.py
Source:train.py
...51 supervised_g_losses.append(g_loss)52 supervised_gen_x = np.argmax(g_pred, axis=1)53 if verify_sequence is not None:54 supervised_correct_generation.append(55 verify_sequence(supervised_gen_x))56 else:57 _, _, g_loss, expected_reward, unsupervised_gen_x = \58 trainable_model.train_g_step(sess)59 expected_rewards.append(expected_reward)60 unsupervised_g_losses.append(g_loss)61 if verify_sequence is not None:62 unsupervised_correct_generation.append(63 verify_sequence(unsupervised_gen_x))64 print("a: ", a)65 print("g_loss mean: ", np.mean(supervised_g_losses))66 dLoops += 167 for _ in range(d_steps):68 if random.random() < proportion_generated:69 seq = next_sequence()70 _, d_loss = trainable_model.train_d_real_step(sess, seq)71 else:72 _, d_loss = trainable_model.train_d_gen_step(sess)73 d_losses.append(d_loss)74 print('epoch statistics:')75 print('>>>> discriminator loss:', np.mean(d_losses))76 print('>>>> generator loss:', np.mean(supervised_g_losses), np.mean(unsupervised_g_losses))77 if verify_sequence is not None:...
33_varify_postorder.py
Source:33_varify_postorder.py
...4# @Author : xiaoliji5# @Email : yutian9527@gmail.com6"""7 éªè¯ååºéåæ¯å¦æ¯æ个äºåæç´¢æ çéåç»æã8 >>> verify_sequence([5, 7, 6, 9, 11, 10, 8])9 True10 >>> verify_sequence([4,6,7,5])11 True12 >>> verify_sequence([7, 4, 6, 5])13 False14"""15from itertools import takewhile, dropwhile16def verify_sequence(seq: list) -> 'bool':17 if not seq:18 return False19 p = seq[-1]20 left_sub = list(takewhile(lambda x: x < p, seq[:-1]))21 right_sub = seq[len(left_sub):-1]22 if not all(x>p for x in right_sub):23 return False24 left = right = True25 if left_sub:26 left = verify_sequence(left_sub)27 if right_sub:28 right = verify_sequence(right_sub)...
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