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 _make_proxy(self, key, match):
        proxy_type = match.group("type")
        key = match.group("key").strip()
        if proxy_type == "env":
            proxy = EnvProxy(key)
        else:
            proxy = ResolverMethodProxy(self._resolver, proxy_type, key)
        filters = [f for f in [rf.strip() for rf in match.group("filters").split("|")] if f]
        for filter_name in filters:
            if filter_name == "jsondecode":
                proxy = JSONDecodeFilter(proxy)
            elif filter_name == "base64decode":
                proxy = Base64DecodeFilter(proxy)
            elif filter_name.startswith("element:"):
                key = filter_name.split(":", 1)[-1]
                proxy = ElementFilter(key, proxy)
            else:
                raise ValueError("Unknown filter %s", filter_name)
        return proxy