code: def test_where_setitem_invalid():
      # GH 2702
      # make sure correct exceptions are raised on invalid list assignment
  
      msg = (
          lambda x: f"cannot set using a {x} indexer with a "
          "different length than the value"
      )
      # slice
      s = Series(list("abc"))
  
      with pytest.raises(ValueError, match=msg("slice")):
          s[0:3] = list(range(27))
  
      s[0:3] = list(range(3))
      expected = Series([0, 1, 2])
      tm.assert_series_equal(s.astype(np.int64), expected)
  
      # slice with step
      s = Series(list("abcdef"))
  
      with pytest.raises(ValueError, match=msg("slice")):
          s[0:4:2] = list(range(27))
  
      s = Series(list("abcdef"))
      s[0:4:2] = list(range(2))
      expected = Series([0, "b", 1, "d", "e", "f"])
      tm.assert_series_equal(s, expected)
  
      # neg slices
      s = Series(list("abcdef"))
  
      with pytest.raises(ValueError, match=msg("slice")):
          s[:-1] = list(range(27))
  
      s[-3:-1] = list(range(2))
      expected = Series(["a", "b", "c", 0, 1, "f"])
      tm.assert_series_equal(s, expected)
  
      # list
      s = Series(list("abc"))
  
      with pytest.raises(ValueError, match=msg("list-like")):
          s[[0, 1, 2]] = list(range(27))
  
      s = Series(list("abc"))
  
      with pytest.raises(ValueError, match=msg("list-like")):
          s[[0, 1, 2]] = list(range(2))
  
      # scalar
      s = Series(list("abc"))
      s[0] = list(range(10))
      expected = Series([list(range(10)), "b", "c"])
      tm.assert_series_equal(s, expected)
  
imports: import numpy
  import pytest
  from pandas._config import using_pyarrow_string_dtype
  from pandas.core.dtypes.common import is_integer
  import pandas
  from pandas import Series, Timestamp, date_range, isna
  import pandas._testing
label_desc: Use image node_id 10 for calling a global function with example usage: test_where_setitem_invalid() without return types