code: def cond(pred, true_fn, false_fn):
      return jax.lax.cond(pred, true_fun=true_fn, false_fun=false_fn)
  
imports: import types
  import jax
  import jax.numpy
  import numpy
  import tree
  from jax.tree_util import Partial
  from keras.backend.common import KerasVariable
  from keras.backend.common import global_state
  from keras.backend.common import standardize_dtype
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.backend.jax import distribution_lib
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 7 for calling a global function with example usage: cond(pred, true_fn, false_fn) and returns: jax