class_docstr: This is a simple subclass of StemFilter that works with the py-stemmer
  third-party library. You must have the py-stemmer library installed to use
  this filter.
  
  >>> PyStemmerFilter("spanish")
class_docstr_tok: ["This","is","a","simple","subclass","of","StemFilter","that","works","with","the","py-stemmer","third-party","library",".","You","must","have","the","py-stemmer","library","installed","to","use","this","filter",".",">",">",">","PyStemmerFilter","(","``","spanish","''",")"]
docstr: Returns a list of stemming algorithms provided by the py-stemmer
  library.
docstr_tok: ["Returns","a","list","of","stemming","algorithms","provided","by","the","py-stemmer","library","."]
code: def algorithms(self):
      """Returns a list of stemming algorithms provided by the py-stemmer
      library.
      """
  
      import Stemmer  # @UnresolvedImport
  
      return Stemmer.algorithms()
  
imports: from whoosh.analysis.filters import Filter
  from whoosh.compat import integer_types
  from whoosh.lang.dmetaphone import double_metaphone
  from whoosh.lang.porter import stem
  from whoosh.util.cache import lfu_cache, unbound_cache
label_desc: Use image node_id 2 for calling the PyStemmerFilter obj's underlying member method code with example usage: obj.algorithms() and returns: Stemmer