code: def _handle_array_process_allgather(inp, tiled):
      if (
          isinstance(inp, array.ArrayImpl)
          and not inp.is_fully_addressable
      ):
          reps = sharding_impls.GSPMDSharding.get_replicated(
              inp.sharding._device_assignment
          )
          out = pjit(_identity_fn, out_shardings=reps)(inp)
      else:
          # All inputs here will be fully addressable.
          if jax.process_count() == 1:
              return np.asarray(inp)
  
          devices = np.array(jax.devices()).reshape(
              jax.process_count(), jax.local_device_count()
          )
          global_mesh = jax.sharding.Mesh(
              devices, ("processes", "local_devices")
          )
          pspec = P("processes")
          s = jax.sharding.NamedSharding(global_mesh, pspec)
  
          host_np_arr = np.asarray(inp)
          if host_np_arr.ndim == 0 or not tiled:
              host_np_arr = np.expand_dims(host_np_arr, axis=0)
  
          aval = core.ShapedArray(host_np_arr.shape, host_np_arr.dtype)
          global_aval = pxla.mesh_local_to_global(
              global_mesh, pxla.get_array_mapping(pspec), aval
          )
  
          bufs = [
              jax.device_put(host_np_arr, d)
              for d in jax.local_devices()
          ]
          global_arr = array.make_array_from_single_device_arrays(
              global_aval.shape, s, bufs
          )
          with global_mesh:
              out = pjit(_identity_fn, out_shardings=None)(global_arr)
  
      return np.asarray(out.addressable_data(0))
  
imports: from __future__ import annotations
  from functools import partial, lru_cache
  from typing import Optional
  import zlib
  from typing import Any
  import jax
  import jax.numpy
  from jax.tree_util import tree_flatten, tree_map, tree_unflatten
  from jax._src import core
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src import array
  from jax._src import sharding_impls
  from jax._src.interpreters import pxla
  from jax.interpreters import xla
  from jax._src import pjit
  from jax.experimental.pjit import pjit
  from jax.sharding import PartitionSpec
  from jax._src import distributed
  from jax._src.util import safe_zip
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: _handle_array_process_allgather(inp, tiled) and returns: np, np