def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
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)