Tidy up and auto-format

spacy/errors.py

@@ -315,6 +315,7 @@ class Errors(object):
             "So instead of pickling the span, pickle the Doc it belongs to or "
             "use Span.as_doc to convert the span to a standalone Doc object.")
 
+
 @add_codes
 class TempErrors(object):
     T001 = ("Max length currently 10 for phrase matching")

spacy/lang/kn/__init__.py

@@ -2,14 +2,13 @@
 from __future__ import unicode_literals
 
 from .stop_words import STOP_WORDS
-from .lex_attrs import LEX_ATTRS
-
-from ..norm_exceptions import BASE_NORMS
 from ...language import Language
 from ...attrs import LANG
 
 
 class KannadaDefaults(Language.Defaults):
+    lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
+    lex_attr_getters[LANG] = lambda text: "kn"
     stop_words = STOP_WORDS
 
 

spacy/tests/regression/test_issue3209.py

@@ -1,24 +1,25 @@
-'''Test that labels are mapped to classes consistently when loading NER model.'''
+# coding: utf8
 from __future__ import unicode_literals
+
 from spacy.lang.en import English
 import pytest
 
+
 @pytest.mark.xfail
 def test_issue3209():
-    '''Test issue that occurred in spaCy nightly where NER labels were being
+    """Test issue that occurred in spaCy nightly where NER labels were being
     mapped to classes incorrectly after loading the model, when the labels
     were added using ner.add_label().
-    '''
+    """
     nlp = English()
-    ner = nlp.create_pipe('ner')
+    ner = nlp.create_pipe("ner")
     nlp.add_pipe(ner)
-    
-    ner.add_label('ANIMAL')
+
+    ner.add_label("ANIMAL")
     nlp.begin_training()
-    move_names = ['O', 'B-ANIMAL', 'I-ANIMAL', 'L-ANIMAL', 'U-ANIMAL']
+    move_names = ["O", "B-ANIMAL", "I-ANIMAL", "L-ANIMAL", "U-ANIMAL"]
     assert ner.move_names == move_names
     nlp2 = English()
-    nlp2.add_pipe(nlp2.create_pipe('ner'))
+    nlp2.add_pipe(nlp2.create_pipe("ner"))
     nlp2.from_bytes(nlp.to_bytes())
-    assert nlp2.get_pipe('ner').move_names == move_names
-
+    assert nlp2.get_pipe("ner").move_names == move_names

spacy/tests/regression/test_issue3248.py

@@ -1,7 +1,6 @@
 # coding: utf-8
 from __future__ import unicode_literals
 
-import pytest
 from spacy.matcher import PhraseMatcher
 from spacy.lang.en import English
 from spacy.compat import pickle