code: def scan_with_axes(
      target: "flax.linen.transforms.Target",
      variable_axes: Mapping[
          flax.core.lift.CollectionFilter, flax.core.lift.InOutScanAxis
      ] = {},
      variable_broadcast: flax.core.lift.CollectionFilter = False,
      variable_carry: flax.core.lift.CollectionFilter = False,
      split_rngs: Mapping[flax.core.lift.PRNGSequenceFilter, bool] = {},
      in_axes=0,
      out_axes=0,
      length: Optional[int] = None,
      reverse: bool = False,
      unroll: int = 1,
      axis_name: str = "layers",
      axes_collections: Tuple[str, ...] = ("params",),
      data_transform: Optional[Callable[..., Any]] = None,
      methods=None,
  ) -> "flax.linen.transforms.Target":
      """Wrapped version of nn.scan that handles logical axis metadata."""
  
      # we broadcast the static metadata collections.
      axes_filters = tuple(f"{col}_axes" for col in axes_collections)
      variable_broadcast = flax.core.scope.union_filters(
          variable_broadcast, axes_filters
      )
  
      # perform usual lifted scan
      scanned = flax.linen.transforms.lift_transform(
          flax.core.lift.scan,
          target,
          variable_axes=variable_axes,
          variable_broadcast=variable_broadcast,
          variable_carry=variable_carry,
          split_rngs=split_rngs,
          in_axes=in_axes,
          out_axes=out_axes,
          length=length,
          reverse=reverse,
          unroll=unroll,
          data_transform=data_transform,
          methods=methods,
      )
  
      # add scan axis to logical axes metadata
      for col in axes_collections:
          if col in variable_axes:
              scanned = _add_axis_to_metadata(
                  scanned,
                  axis_pos=variable_axes[col],
                  axis_name=axis_name,
                  axis_col=f"{col}_axes",
              )
      return scanned
  
imports: import functools
  import re
  from typing import Any, Callable, Mapping, Optional, Tuple
  import flax
  from flax import linen
  from flax import struct
  from flax.core.frozen_dict import freeze
  from flax.core.frozen_dict import unfreeze
  from flax.core.lift import In
  from flax.core.lift import Out
  from flax.linen.spmd import _axis_rules
  from flax.linen.spmd import _AxisRules
  from flax.linen.spmd import _is_logical_spec
  from flax.linen.spmd import _with_sharding_constraint
  from flax.linen.spmd import Array
  from flax.linen.spmd import ArrayPytree
  from flax.linen.spmd import get_logical_axis_rules
  from flax.linen.spmd import logical_axis_rules
  from flax.linen.spmd import logical_to_mesh
  from flax.linen.spmd import logical_to_mesh_axes
  from flax.linen.spmd import LogicalPartitionSpec
  from flax.linen.spmd import LogicalPartitionSpecPytree
  from flax.linen.spmd import LogicalRules
  from flax.linen.spmd import PartitionSpecPytree
  from flax.linen.spmd import RulesFallback
  from flax.linen.spmd import set_logical_axis_rules
  from flax.linen.spmd import with_logical_constraint
  from flax.traverse_util import flatten_dict
  from flax.traverse_util import unflatten_dict
  import jax
label_desc: Use image node_id 9 for calling a global function with example usage: scan_with_axes(target, variable_axes, variable_broadcast, variable_carry, split_rngs, in_axes, out_axes, length, reverse, unroll, axis_name, axes_collections, data_transform, methods) and returns: scanned