code: def test_loc_with_array_different_partition():
      df = pd.DataFrame(
          np.random.randn(20, 5),
          index=list("abcdefghijklmnopqrst"),
          columns=list("ABCDE"),
      )
      ddf = dd.from_pandas(df, 3)
  
      assert_eq(ddf.loc[(ddf.A > 0).values], df.loc[(df.A > 0).values])
      with pytest.raises(ValueError):
          ddf.loc[
              (ddf.A > 0).repartition(["a", "g", "k", "o", "t"]).values
          ]
  
imports: from __future__ import annotations
  import contextlib
  import numpy
  import pandas
  import pytest
  import dask
  import dask.dataframe
  from dask.base import tokenize
  from dask.dataframe._compat import PANDAS_GE_210, PANDAS_GE_220, IndexingError, tm
  from dask.dataframe.indexing import _coerce_loc_index
  from dask.dataframe.utils import assert_eq, make_meta, pyarrow_strings_enabled
label_desc: Use image node_id 7 for calling a global function with example usage: test_loc_with_array_different_partition() without return types