code: def test_where_invalid(self):
      # invalid conditions
      df = DataFrame(
          np.random.default_rng(2).standard_normal((5, 3)),
          columns=["A", "B", "C"],
      )
      cond = df > 0
  
      err1 = (df + 1).values[0:2, :]
      msg = "other must be the same shape as self when an ndarray"
      with pytest.raises(ValueError, match=msg):
          df.where(cond, err1)
  
      err2 = cond.iloc[:2, :].values
      other1 = _safe_add(df)
      msg = "Array conditional must be same shape as self"
      with pytest.raises(ValueError, match=msg):
          df.where(err2, other1)
  
      with pytest.raises(ValueError, match=msg):
          df.mask(True)
      with pytest.raises(ValueError, match=msg):
          df.mask(0)
  
imports: from datetime import datetime
  from hypothesis import given
  import numpy
  import pytest
  from pandas.core.dtypes.common import is_scalar
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Series, StringDtype, Timestamp, date_range, isna
  import pandas._testing
  from pandas._testing._hypothesis import OPTIONAL_ONE_OF_ALL
label_desc: Use image node_id 4 for calling the TestDataFrameIndexingWhere obj's underlying member method code with example usage: obj.test_where_invalid() without return types