def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def GetCompletions_NoSuggestions_Fallback_test( app ):
  # Python completer doesn't raise NO_COMPLETIONS_MESSAGE, so this is a
  # different code path to the Clang completer cases

  # TESTCASE2 (general_fallback/lang_python.py)
  RunTest( app, {
    'description': 'param jedi does not know about (id). query="a_p"',
    'request': {
      'filetype'  : 'python',
      'filepath'  : PathToTestFile( 'general_fallback',
                                    'lang_python.py' ),
      'line_num'  : 28,
      'column_num': 20,
      'force_semantic': False,
    },
    'expect': {
      'response': http.client.OK,
      'data': has_entries( {
        'completions': contains(
          CompletionEntryMatcher( 'a_parameter', '[ID]' ),
          CompletionEntryMatcher( 'another_parameter', '[ID]' ),
        ),
        'errors': empty(),
      } )
    },
  } )