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 mkdir_and_copy_file(self, header):
    install_dir = os.path.join(self.install_dir, os.path.dirname(header))
    # Get rid of some extra intervening directories so we can have fewer
    # directories for -I
    install_dir = re.sub('/google/protobuf_archive/src', '', install_dir)

    # Copy eigen code into tensorflow/include.
    # A symlink would do, but the wheel file that gets created ignores
    # symlink within the directory hierarchy.
    # NOTE(keveman): Figure out how to customize bdist_wheel package so
    # we can do the symlink.
    if 'external/eigen_archive/' in install_dir:
      extra_dir = install_dir.replace('external/eigen_archive', '')
      if not os.path.exists(extra_dir):
        self.mkpath(extra_dir)
      self.copy_file(header, extra_dir)

    if not os.path.exists(install_dir):
      self.mkpath(install_dir)
    return self.copy_file(header, install_dir)