code: def _reshape_array_with(
      arr: "_array.DistributedArray",
      f_shape: Callable[[tuple[int, ...]], tuple[int, ...]],
      f_idx: Callable[[tuple[slice, ...]], tuple[slice, ...]],
  ) -> "_array.DistributedArray":
      def reshape_chunk(chunk: _chunk._Chunk) -> _chunk._Chunk:
          data = chunk.array.reshape(f_shape(chunk.array.shape))
          index = f_idx(chunk.index)
          updates = [(data, f_idx(idx)) for data, idx in chunk.updates]
          return _chunk._Chunk(
              data, chunk.ready, index, updates, chunk.prevent_gc
          )
  
      chunks_map = {}
      for dev, chunks in arr._chunks_map.items():
          chunks_map[dev] = [reshape_chunk(chunk) for chunk in chunks]
  
      shape = f_shape(arr.shape)
      return _array.DistributedArray(
          shape, arr.dtype, chunks_map, arr._mode, arr._comms
      )
  
file_path: cupy/cupyx/distributed/array/_linalg.py
imports: import dataclasses
  import typing
  from typing import Callable, Optional
  import cupy
  from cupyx.distributed.array import _array
  from cupyx.distributed.array import _chunk
  from cupyx.distributed.array import _modes
label_desc: Use image node_id 6 for calling a global function with example usage: _reshape_array_with(arr, f_shape, f_idx) and returns: _array, _chunk