code: def test_view():
      x = np.arange(56).reshape((7, 8))
      d = da.from_array(cupy.array(x), chunks=(2, 3))
  
      result = d.view()
      assert type(result._meta) == cupy.ndarray
      assert_eq(
          result, result
      )  # Check that _meta and computed arrays match types
      assert_eq(result, x.view(), check_type=False)
  
      result = d.view("i4")
      assert type(result._meta) == cupy.ndarray
      assert_eq(
          result, result
      )  # Check that _meta and computed arrays match types
      assert_eq(result, x.view("i4"), check_type=False)
  
      result = d.view("i2")
      assert type(result._meta) == cupy.ndarray
      assert_eq(
          result, result
      )  # Check that _meta and computed arrays match types
      assert_eq(result, x.view("i2"), check_type=False)
      assert all(isinstance(s, int) for s in d.shape)
  
      x = np.arange(8, dtype="i1")
      d = da.from_array(cupy.array(x), chunks=(4,))
      result = d.view("i4")
      assert type(result._meta) == cupy.ndarray
      assert_eq(
          result, result
      )  # Check that _meta and computed arrays match types
      assert_eq(x.view("i4"), d.view("i4"), check_type=False)
  
      with pytest.raises(ValueError):
          x = np.arange(8, dtype="i1")
          d = da.from_array(cupy.array(x), chunks=(3,))
          d.view("i4")
  
      with pytest.raises(ValueError):
          d.view("i4", order="asdf")
  
imports: from __future__ import annotations
  import numpy
  import pytest
  from packaging.version import parse
  import dask
  import dask.array
  from dask.array.utils import assert_eq
  from dask.sizeof import sizeof
label_desc: Use image node_id 5 for calling a global function with example usage: test_view() without return types