class_docstr: A strategy for floats distributed between two endpoints.
  
  The conditional distribution tries to produce values clustered
  closer to one of the ends.
class_docstr_tok: ["A","strategy","for","floats","distributed","between","two","endpoints",".","The","conditional","distribution","tries","to","produce","values","clustered","closer","to","one","of","the","ends","."]
code: def __repr__(self):
      return "FixedBoundedFloatStrategy(%s, %s, %s)" % (
          self.lower_bound,
          self.upper_bound,
          self.width,
      )
  
imports: from __future__ import absolute_import, division, print_function
  import math
  import hypothesis.internal.conjecture.floats
  import hypothesis.internal.conjecture.utils
  from hypothesis.control import assume, reject
  from hypothesis.internal.conjecture.utils import calc_label_from_name
  from hypothesis.internal.floats import float_of
  from hypothesis.strategies._internal.strategies import SearchStrategy
label_desc: Use image node_id 2 for calling the FixedBoundedFloatStrategy obj's underlying member method code with example usage: obj.__repr__() and returns: unknown