Update automata.py

automata.py

@@ -42,14 +42,12 @@ class MockupDataset(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("0.0.0")
     BUILDER_CONFIGS = []
     
-    def __init__(self, name=None, data_config={}, **kwargs):
+    def __init__(self, name='parity', data_config={}, **kwargs):
         super().__init__(**kwargs)
         
         """
         Set default configs
         """
-        if name is None:
-            name = 'parity'
         if 'length' not in data_config:
             data_config['length'] = 20
         if 'size' not in data_config:
@@ -84,7 +82,6 @@ class MockupDataset(datasets.GeneratorBasedBuilder):
             )
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, split):
         for i in itertools.count(start=0):
             if i == self.data_config['size']:
@@ -133,10 +130,10 @@ class ParitySampler(AutomatonSampler):
         return x, self.f(x)
 
 
-class FlipflopSampler(AutomatonSampler):
+class FlipFlopSampler(AutomatonSampler):
     def __init__(self, data_config):
         super(FlipflopSampler, self).__init__(data_config)
-        self.name = 'parity'
+        self.name = 'flipflop'
         self.data_config = data_config
 
         self.n_actions = self.n_states + 1
@@ -145,8 +142,8 @@ class FlipflopSampler(AutomatonSampler):
     def f(self, x):
         state, states = 0, []
         for action in x:
-          state = self.transition[state, action]
-          states += state,
+            state = self.transition[state, action]
+            states += state,
         return np.array(states)
 
     def sample(self):
@@ -159,7 +156,7 @@ class FlipflopSampler(AutomatonSampler):
 
 dataset_map = {
   'parity': ParitySampler,
-  'flipflop': FlipflopSampler,
+  'flipflop': FlipFlopSampler,
   # TODO: more datasets
   }