code: def test_line_search_wolfe2(self, name):
      def bind_index(func, idx):
          # Remember Python's closure semantics!
          return lambda *a, **kw: func(*a, **kw)[idx]
  
      value = getattr(self, name)
      f = bind_index(value, 0)
      fprime = bind_index(value, 1)
  
      k = 0
      N = 20
      rng = self.rng()
      # sets A in one of the line funcs
      self.A = self.rng().randn(N, N)
      while k < 9:
          x = rng.randn(N)
          p = rng.randn(N)
          if jnp.dot(p, fprime(x)) >= 0:
              # always pick a descent pk
              continue
          k += 1
  
          f0 = f(x)
          g0 = fprime(x)
          self.fcount = 0
          res = line_search(f, x, p, old_fval=f0, gfk=g0)
          s = res.a_k
          fv = res.f_k
          gv = res.g_k
          self.assertAllClose(
              fv, f(x + s * p), check_dtypes=False, atol=1e-5
          )
          if gv is not None:
              self.assertAllClose(
                  gv, fprime(x + s * p), check_dtypes=False, atol=1e-5
              )
  
imports: from absl.testing import absltest
  import scipy.optimize
  import jax
  from jax import grad
  from jax import config
  import jax.numpy
  import jax._src.test_util
  from jax._src.scipy.optimize.line_search import line_search
label_desc: Use image node_id 9 for calling the TestLineSearch obj's underlying member method code with example usage: obj.test_line_search_wolfe2(name) and returns: function