# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. # import numpy as np import pytest from cc_net.flat_hash_set import HASH_TYPE, FlatHashSet, NaiveHashSet def as_dict(flat_hash_set) -> dict: return {k: v for (k, v) in flat_hash_set.items()} need_getpy = pytest.mark.skipif( FlatHashSet == NaiveHashSet, reason="getpy isn't installed" ) def same_behavior(test_case): def run_case(): naive = as_dict(test_case(FlatHashSet)) flat = as_dict(test_case(NaiveHashSet)) assert naive == flat return need_getpy(run_case) @same_behavior def test_setitem(hash_set_cls): h = hash_set_cls() h[np.arange(10, dtype=h.dtype)] = np.zeros(10, dtype=np.uint8) h[np.arange(5, dtype=h.dtype)] = np.ones(5, dtype=np.uint8) return h @same_behavior def test_add_dup(hash_set_cls): h = hash_set_cls() h.add(np.arange(10, dtype=h.dtype)) h.add(np.arange(5, dtype=h.dtype)) expected = {i: i < 5 for i in range(10)} assert expected == as_dict(h), f"add_dup with {hash_set_cls.__name__}" return h @need_getpy def test_gp_dict(): import getpy as gp # type: ignore h = gp.Dict(HASH_TYPE, np.uint8) h[np.arange(10, dtype=HASH_TYPE)] = np.zeros(10, dtype=np.uint8) h[np.arange(5, dtype=HASH_TYPE)] = np.ones(5, dtype=np.uint8) expected = {i: i < 5 for i in range(10)} assert expected == as_dict(h) def check_reload(h, dump, load, tmp_path): dump_path = tmp_path / dump.__name__ dump(h, dump_path) h2 = type(h)() load(h2, dump_path) assert as_dict(h) == as_dict(h2) @pytest.mark.parametrize("hash_set_cls", [FlatHashSet, NaiveHashSet]) def test_loading(tmp_path, hash_set_cls): h = hash_set_cls() x = np.random.randint(0, 2 ** 32, (100,), dtype=h.dtype) h.add(x) check_reload(h, hash_set_cls.dump, hash_set_cls.load, tmp_path) check_reload(h, hash_set_cls.dump_np, hash_set_cls.load_np, tmp_path) if hasattr(hash_set_cls, "dump_gp"): check_reload(h, hash_set_cls.dump_gp, hash_set_cls.load_gp, tmp_path)