class_docstr: Generate a set of numbers on the real axis, concentrating on
  'interesting' regions and covering all orders of magnitude.
class_docstr_tok: ["Generate","a","set","of","numbers","on","the","real","axis",",","concentrating","on","'interesting","'","regions","and","covering","all","orders","of","magnitude","."]
code: def __init__(
      self, a=-np.inf, b=np.inf, inclusive_a=True, inclusive_b=True
  ):
      if a > b:
          raise ValueError("a should be less than or equal to b")
      if a == -np.inf:
          a = -0.5 * np.finfo(float).max
      if b == np.inf:
          b = 0.5 * np.finfo(float).max
      self.a, self.b = a, b
  
      self.inclusive_a, self.inclusive_b = inclusive_a, inclusive_b
  
imports: import os
  import sys
  import time
  import numpy
  from numpy.testing import assert_
  import pytest
  from scipy.special._testutils import assert_func_equal
label_desc: Use image node_id 1 to create a new Arg object  with example: obj = Arg(a, b, inclusive_a, inclusive_b)