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src/s/k/skimmr_bm-0.1-a2/skimmr_bm/ifce.py   skimmr_bm(Download)
from whoosh.analysis import StemmingAnalyzer
import util
from util import FuzzySet, norm_np, Tensor
from strg import Lexicon
 
  def _qterm_indices(self,qterm,expand_types=True):
    # attempt to retrieve indices corresponding a single query term via a 
    # fulltext index on all the stored terms (normalising the query term)
    ft_query, identifiers = self.qterm_parser.parse(unicode(norm_np(qterm))),[]
    try:

src/s/k/skimmr_gt-0.1-a2/skimmr_gt/ifce.py   skimmr_gt(Download)
from whoosh.analysis import StemmingAnalyzer
import util
from util import FuzzySet, norm_np, Tensor
from strg import Lexicon
 
  def _qterm_indices(self,qterm,expand_types=True):
    # attempt to retrieve indices corresponding a single query term via a 
    # fulltext index on all the stored terms (normalising the query term)
    ft_query, identifiers = self.qterm_parser.parse(unicode(norm_np(qterm))),[]
    try: