code: def lognormal_from_normal(fgraph, node):
      next_rng, n = normal.make_node(*node.inputs).outputs
      return [next_rng, exp(n)]
  
file_path: pytensor/pytensor/tensor/random/rewriting/jax.py
imports: from pytensor.compile import optdb
  from pytensor.graph.rewriting.basic import in2out, node_rewriter
  from pytensor.graph.rewriting.db import SequenceDB
  from pytensor.tensor import abs
  from pytensor.tensor import broadcast_arrays, exp, floor, log, log1p, reciprocal, sqrt
  from pytensor.tensor.basic import MakeVector, cast, ones_like, switch, zeros_like
  from pytensor.tensor.elemwise import DimShuffle
  from pytensor.tensor.random.basic import BetaBinomialRV, GenGammaRV, GeometricRV, HalfNormalRV, InvGammaRV, LogNormalRV, NegBinomialRV, WaldRV, _gamma, beta, binomial, normal, poisson, uniform
  from pytensor.tensor.random.op import RandomVariable
label_desc: Use image node_id 2 for calling a global function with example usage: lognormal_from_normal(fgraph, node) and returns: list