code: def slice_with_int_dask_array(x, index):
      """Slice x with at most one 1D dask arrays of ints.
  
      This is a helper function of :meth:`Array.__getitem__`.
  
      Parameters
      ----------
      x: Array
      index: tuple with as many elements as x.ndim, among which there are
             one or more Array's with dtype=int
  
      Returns
      -------
      tuple of (sliced x, new index)
  
      where the new index is the same as the input, but with slice(None)
      replaced to the original slicer where a 1D filter has been applied and
      one less element where a zero-dimensional filter has been applied.
      """
      from dask.array.core import Array
  
      assert len(index) == x.ndim
      fancy_indexes = [
          isinstance(idx, (tuple, list))
          or (isinstance(idx, (np.ndarray, Array)) and idx.ndim > 0)
          for idx in index
      ]
      if sum(fancy_indexes) > 1:
          raise NotImplementedError(
              "Don't yet support nd fancy indexing"
          )
  
      out_index = []
      dropped_axis_cnt = 0
      for in_axis, idx in enumerate(index):
          out_axis = in_axis - dropped_axis_cnt
          if isinstance(idx, Array) and idx.dtype.kind in "iu":
              if idx.ndim == 0:
                  idx = idx[np.newaxis]
                  x = slice_with_int_dask_array_on_axis(
                      x, idx, out_axis
                  )
                  x = x[
                      tuple(
                          0 if i == out_axis else slice(None)
                          for i in range(x.ndim)
                      )
                  ]
                  dropped_axis_cnt += 1
              elif idx.ndim == 1:
                  x = slice_with_int_dask_array_on_axis(
                      x, idx, out_axis
                  )
                  out_index.append(slice(None))
              else:
                  raise NotImplementedError(
                      "Slicing with dask.array of ints only permitted when "
                      "the indexer has zero or one dimensions"
                  )
          else:
              out_index.append(idx)
      return x, tuple(out_index)
  
imports: from __future__ import annotations
  import bisect
  import functools
  import math
  import warnings
  from itertools import product
  from numbers import Integral, Number
  from operator import itemgetter
  import numpy
  from tlz import concat, memoize, merge, pluck
  from dask import config, core, utils
  from dask.array.chunk import getitem
  from dask.base import is_dask_collection, tokenize
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import cached_cumsum, is_arraylike
label_desc: Use image node_id 20 for calling a global function with example usage: slice_with_int_dask_array(x, index) and returns: x,  tuple