code: def testBetaIncDoubleVerySmallValues(self):
      a_s = np.abs(np.random.randn(10, 10) * 1e-16)  # in (0, infty)
      b_s = np.abs(np.random.randn(10, 10) * 1e-16)  # in (0, infty)
      x_s = np.random.rand(10, 10)  # in (0, 1)
      self._testBetaInc(a_s, b_s, x_s, dtypes.float64)
  
imports: import itertools
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 5 for calling the BetaincTest obj's underlying member method code with example usage: obj.testBetaIncDoubleVerySmallValues() without return types