code: def test_shift_dt64values_axis1_invalid_fill(self, vals, as_cat):
      # GH#44564
      ser = Series(vals)
      if as_cat:
          ser = ser.astype("category")
  
      df = DataFrame({"A": ser})
      result = df.shift(-1, axis=1, fill_value="foo")
      expected = DataFrame({"A": ["foo", "foo"]})
      tm.assert_frame_equal(result, expected)
  
      # same thing but multiple blocks
      df2 = DataFrame({"A": ser, "B": ser})
      df2._consolidate_inplace()
  
      result = df2.shift(-1, axis=1, fill_value="foo")
      expected = DataFrame({"A": df2["B"], "B": ["foo", "foo"]})
      tm.assert_frame_equal(result, expected)
  
      # same thing but not consolidated
      df3 = DataFrame({"A": ser})
      df3["B"] = ser
      assert len(df3._mgr.arrays) == 2
      result = df3.shift(-1, axis=1, fill_value="foo")
      tm.assert_frame_equal(result, expected)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import CategoricalIndex, DataFrame, Index, NaT, Series, date_range, offsets
  import pandas._testing
label_desc: Use image node_id 33 for calling the TestDataFrameShift obj's underlying member method code with example usage: obj.test_shift_dt64values_axis1_invalid_fill(vals, as_cat) without return types