original_docstring: 
  	Extract input features (percepts) for a given document.
  	Each percept is a pairing of a name and a boolean, integer, or float value.
  	A document's percepts are the same regardless of the label considered.
  	
docstring: Extract input features (percepts) for a given document.
  Each percept is a pairing of a name and a boolean, integer, or float value.
  A document's percepts are the same regardless of the label considered.
docstring_tokens: Extract input features ( percepts ) for a given document . Each percept is a pairing of a name and a boolean integer or float value . A document ' s percepts are the same regardless of the label considered .
code: def extract_feats(doc):
  	"""
  	Extract input features (percepts) for a given document.
  	Each percept is a pairing of a name and a boolean, integer, or float value.
  	A document's percepts are the same regardless of the label considered.
  	"""
  	ff = Counter(doc).most_common(100)
  	li = []
  	for i in ff:
  		for j in range(i[1]):
  			li.append(i[0])
  	ff = Counter(li)
  	return ff
code_tokens: def extract_feats ( doc ) : ff = Counter ( doc ) . most_common ( 100 ) li = [ ] for i in ff : for j in range ( i [ 1 ] ) : li . append ( i [ 0 ] ) ff = Counter ( li ) return ff
short_docstring: Extract input features (percepts) for a given document.
short_docstring_tokens: Extract input features ( percepts ) for a given document .
comment: """
  	Extract input features (percepts) for a given document.
  	Each percept is a pairing of a name and a boolean, integer, or float value.
  	A document's percepts are the same regardless of the label considered.
  	"""