code: def test_where_producing_ea_cond_for_np_dtype():
      # GH#44014
      df = DataFrame(
          {"a": Series([1, pd.NA, 2], dtype="Int64"), "b": [1, 2, 3]}
      )
      result = df.where(lambda x: x.apply(lambda y: y > 1, axis=1))
      expected = DataFrame(
          {
              "a": Series([pd.NA, pd.NA, 2], dtype="Int64"),
              "b": [np.nan, 2, 3],
          }
      )
      tm.assert_frame_equal(result, expected)
  
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 16 for calling a global function with example usage: test_where_producing_ea_cond_for_np_dtype() without return types