class_docstr: Generate a set of probabilities on [0, 1].
class_docstr_tok: ["Generate","a","set","of","probabilities","on","[","0",",","1","]","."]
code: def __init__(self):
      # Include the endpoints for compatibility with Arg et. al.
      self.a = 0
      self.b = 1
  
imports: import itertools
  import numpy
  from numpy.testing import assert_equal, assert_allclose
  import pytest
  import scipy.special
  from scipy.special._testutils import MissingModule, check_version, FuncData
  from scipy.special._mptestutils import Arg, IntArg, get_args, mpf2float, assert_mpmath_equal
label_desc: Use image node_id 1 to create a new ProbArg object  with example: obj = ProbArg()