          return Parser.from_dir(data_dir, vocab.strings, ArcEager)
  
      @classmethod
      def default_entity(cls, package, vocab):
          data_dir = package.dir_path('data', 'ner')
          return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
  
      def __init__(self, package=None, vocab=None, tokenizer=None, tagger=None,
                   parser=None, entity=None, matcher=None, serializer=None,
                   load_vectors=True):
          if load_vectors is not True:
 
</s> remove         data_dir = package.dir_path('data', 'deps')
        return Parser.from_dir(data_dir, vocab.strings, ArcEager)
 </s> add         data_dir = package.dir_path('data', 'deps', require=False)
        if data_dir and path.exists(data_dir):
            return Parser.from_dir(data_dir, vocab.strings, ArcEager) </s> remove         model.load(package.file_path('data', 'pos', 'model', require=False))  # TODO: really optional?
 </s> add         if package.has_file('data', 'pos', 'model'):  # TODO: really optional?
            model.load(package.file_path('data', 'pos', 'model')) </s> remove   - "python bin/init_model.py en lang_data/ corpora/ spacy/en/data"
 </s> add   - "python bin/init_model.py en lang_data/ corpora/ data"
  - "sputnik build ."
  - "sputnik install en_default-*.sputnik"
        data_dir = package.dir_path('data', 'ner', require=False)
        if data_dir and path.exists(data_dir):
            return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
          return Parser.from_dir(data_dir, vocab.strings, ArcEager)
  
      @classmethod
      def default_entity(cls, package, vocab):
        data_dir = package.dir_path('data', 'ner', require=False)
        if data_dir and path.exists(data_dir):
            return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
        data_dir = package.dir_path('data', 'ner', require=False)
        if data_dir and path.exists(data_dir):
            return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
  
      def __init__(self, package=None, vocab=None, tokenizer=None, tagger=None,
                   parser=None, entity=None, matcher=None, serializer=None,
                   load_vectors=True):
          if load_vectors is not True:
keep keep keep keep replace replace keep keep keep keep keep
 small fixes, add package build step 
spacy/language.py