pylint and flake8

asyml · Dec 6, 2020 · ec45dda · ec45dda
1 parent 6e1f622
commit ec45dda
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/examples/content_rewriter/model/copy_net.py b/examples/content_rewriter/model/copy_net.py
@@ -37,7 +37,7 @@ def with_same_shape(old, new):
         return nest.map_structure(
             with_same_shape,
             self,
-            super(CopyNetWrapperState, self)._replace(**kwargs))
+            super()._replace(**kwargs))
 
 
 class CopyNetWrapper(tf.nn.rnn_cell.RNNCell):
@@ -47,7 +47,7 @@ def __init__(
             coverity_dim=None, coverity_rnn_cell_hparams=None,
             disabled_vocab_size=0, eps=0.,
             reuse=tf.AUTO_REUSE, name=None):
-        super(CopyNetWrapper, self).__init__(name=name)
+        super().__init__(name=name)
 
         with tf.variable_scope("CopyNetWrapper", reuse=reuse):
             self._cell = cell

diff --git a/examples/wiki_parser/wiki_dump_parse.py b/examples/wiki_parser/wiki_dump_parse.py
@@ -52,7 +52,7 @@ def __init__(self):
         self.article_count: int = 0
 
     def initialize(self, resources: Resources, configs: Config):
-        super(WikiArticleWriter, self).initialize(resources, configs)
+        super().initialize(resources, configs)
         self.article_count = 0
         self.article_index = open(
             os.path.join(self.configs.output_dir, 'article.idx'), 'w')
@@ -77,7 +77,7 @@ def _process(self, input_pack: DataPack):
 
         Returns:
         """
-        super(WikiArticleWriter, self)._process(input_pack)
+        super()._process(input_pack)
 
         out_path = self.sub_output_path(input_pack)
         if self.zip_pack:

diff --git a/forte/models/srl/model.py b/forte/models/srl/model.py
@@ -83,7 +83,7 @@ def __init__(self, word_vocab: tx.data.Vocab, char_vocab: tx.data.Vocab,
                              num_output_representations=1)
             self._elmo_char_ids_fn = batch_to_ids
         else:
-            self.elmo = None # type: ignore
+            self.elmo = None  # type: ignore
 
         # LSTM
         single_hidden_dim = self._hparams.contextualization_size