class_docstr: Filter samples based on text length
  
  Example::
  
      sample 1: "I love textflint", score: 3
      sample 2: "I love textflint very much", score: 5
class_docstr_tok: ["Filter","samples","based","on","text","length","Example",":",":","sample","1",":","``","I","love","textflint","''",",","score",":","3","sample","2",":","``","I","love","textflint","very","much","''",",","score",":","5"]
code: def __repr__(self):
      return (
          "LengthSubPopulation-"
          + str(self.intervals[0])
          + "-"
          + str(self.intervals[1])
      )
  
imports: from ..subpopulation import SubPopulation
label_desc: Use image node_id 2 for calling the LengthSubPopulation obj's underlying member method code with example usage: obj.__repr__() and returns: unknown