class_docstr: Stores frequency information for each posting.
  
  Supports: frequency, weight.
class_docstr_tok: ["Stores","frequency","information","for","each","posting",".","Supports",":","frequency",",","weight","."]
docstr: :param field_boost: A constant boost factor to scale to the score of
      all queries matching terms in this field.
docstr_tok: [":","param","field_boost",":","A","constant","boost","factor","to","scale","to","the","score","of","all","queries","matching","terms","in","this","field","."]
code: def __init__(self, field_boost=1.0, boost_as_freq=False, **options):
      """
      :param field_boost: A constant boost factor to scale to the score of
          all queries matching terms in this field.
      """
  
      assert isinstance(field_boost, float)
      self.field_boost = field_boost
      self.options = options
  
imports: from collections import defaultdict
  from whoosh.analysis import unstopped, entoken
  from whoosh.compat import iteritems, dumps, loads, b
  from whoosh.system import emptybytes
  from whoosh.system import _INT_SIZE, _FLOAT_SIZE
  from whoosh.system import pack_uint, unpack_uint, pack_float, unpack_float
label_desc: Use image node_id 1 to create a new Frequency object from inherited base classes: Format with example: obj = Frequency(field_boost, boost_as_freq)