fix

Author: Borda

pl_examples/basic_examples/mnist_datamodule.py

@@ -31,7 +31,7 @@ class MNISTDataModule(LightningDataModule):
     Standard MNIST, train, val, test splits and transforms
 
     >>> MNISTDataModule()  # doctest: +ELLIPSIS
-    <mnist_datamodule.MNISTDataModule object at ...>
+    <...mnist_datamodule.MNISTDataModule object at ...>
     """
 
     name = "mnist"

pl_examples/bug_report_model.py

@@ -30,7 +30,7 @@
 class RandomDataset(Dataset):
     """
     >>> RandomDataset(size=10, length=20)  # doctest: +ELLIPSIS
-    <bug_report_model.RandomDataset object at ...>
+    <...bug_report_model.RandomDataset object at ...>
     """
     def __init__(self, size, length):
         self.len = length

pl_examples/domain_templates/generative_adversarial_net.py

@@ -211,7 +211,7 @@ def on_epoch_end(self):
 class MNISTDataModule(LightningDataModule):
     """
     >>> MNISTDataModule()  # doctest: +ELLIPSIS
-    <generative_adversarial_net.MNISTDataModule object at ...>
+    <...generative_adversarial_net.MNISTDataModule object at ...>
     """
     def __init__(self, batch_size: int = 64, data_path: str = os.getcwd(), num_workers: int = 4):
         super().__init__()

pl_examples/domain_templates/reinforce_learn_Qnet.py

@@ -88,7 +88,7 @@ class ReplayBuffer:
     Replay Buffer for storing past experiences allowing the agent to learn from them
 
     >>> ReplayBuffer(5)  # doctest: +ELLIPSIS
-    <reinforce_learn_Qnet.ReplayBuffer object at ...>
+    <...reinforce_learn_Qnet.ReplayBuffer object at ...>
     """
 
     def __init__(self, capacity: int) -> None:
@@ -124,7 +124,7 @@ class RLDataset(IterableDataset):
     which will be updated with new experiences during training
 
     >>> RLDataset(ReplayBuffer(5))  # doctest: +ELLIPSIS
-    <reinforce_learn_Qnet.RLDataset object at ...>
+    <...reinforce_learn_Qnet.RLDataset object at ...>
     """
 
     def __init__(self, buffer: ReplayBuffer, sample_size: int = 200) -> None:
@@ -149,7 +149,7 @@ class Agent:
     >>> env = gym.make("CartPole-v0")
     >>> buffer = ReplayBuffer(10)
     >>> Agent(env, buffer)  # doctest: +ELLIPSIS
-    <reinforce_learn_Qnet.Agent object at ...>
+    <...reinforce_learn_Qnet.Agent object at ...>
     """
 
     def __init__(self, env: gym.Env, replay_buffer: ReplayBuffer) -> None: