code: def test_minimize(self, maxiter, func_and_init):
      # Note, cannot compare step for step with scipy BFGS because our line search is _slightly_ different.
  
      func, x0 = func_and_init
  
      @jit
      def min_op(x0):
          result = jax.scipy.optimize.minimize(
              func(jnp),
              x0,
              method="BFGS",
              options=dict(maxiter=maxiter, gtol=1e-6),
          )
          return result.x
  
      jax_res = min_op(x0)
      # Newer scipy versions perform poorly in float32. See
      # https://github.com/scipy/scipy/issues/19024.
      x0_f64 = x0.astype("float64")
      scipy_res = scipy.optimize.minimize(
          func(np), x0_f64, method="BFGS"
      ).x
      self.assertAllClose(
          scipy_res, jax_res, atol=2e-4, rtol=2e-4, check_dtypes=False
      )
  
imports: from absl.testing import absltest
  import numpy
  import scipy
  import scipy.optimize
  from jax import numpy
  from jax._src import test_util
  from jax import jit
  from jax import config
  import jax.scipy.optimize
label_desc: Use image node_id 1 for calling the TestBFGS obj's underlying member method code with example usage: obj.test_minimize(maxiter, func_and_init) and returns: result