code: def _transpose_one_output(linear_fun, primals):
      transpose_fun = jax.linear_transpose(linear_fun, primals)
  
      def transposed_fun(x):
          (y,) = transpose_fun(x)
          return y
  
      return transposed_fun
  
imports: import collections
  from functools import partial
  import operator
  import jax
  from jax.tree_util import tree_flatten, treedef_children, tree_leaves, tree_unflatten, treedef_tuple
  from jax._src import ad_util
  from jax._src import core
  from jax._src import linear_util
  from jax._src.core import raise_to_shaped
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src.interpreters import xla
  from jax._src.traceback_util import api_boundary
  from jax._src.util import split_list, safe_map
  import numpy
  from jax._src.lax.control_flow.common import _abstractify, _check_tree, _initial_style_jaxpr
label_desc: Use image node_id 6 for calling a global function with example usage: _transpose_one_output(linear_fun, primals) and returns: transposed_fun, y