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How to use test_skip_decorators method in avocado

Best Python code snippet using avocado_python

test_skip_decorators.py

Source:test_skip_decorators.py

1# coding=utf-82# Copyright 2019-present, the HuggingFace Inc. team.3#4# Licensed under the Apache License, Version 2.0 (the "License");5# you may not use this file except in compliance with the License.6# You may obtain a copy of the License at7#8#     http://www.apache.org/licenses/LICENSE-2.09#10# Unless required by applicable law or agreed to in writing, software11# distributed under the License is distributed on an "AS IS" BASIS,12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.13# See the License for the specific language governing permissions and14# limitations under the License.15#16#17#18# this test validates that we can stack skip decorators in groups and whether19# they work correctly with other decorators20#21# since the decorators have already built their decision params (like checking22# env[], we can't mock the env and test each of the combinations), so ideally23# the following 4 should be run. But since we have different CI jobs running24# different configs, all combinations should get covered25#26# RUN_SLOW=1 pytest -rA tests/test_skip_decorators.py27# RUN_SLOW=1 CUDA_VISIBLE_DEVICES="" pytest -rA tests/test_skip_decorators.py28# RUN_SLOW=0 pytest -rA tests/test_skip_decorators.py29# RUN_SLOW=0 CUDA_VISIBLE_DEVICES="" pytest -rA tests/test_skip_decorators.py30import os31import unittest32import pytest33from parameterized import parameterized34from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device35# skipping in unittest tests36params = [(1,)]37# test that we can stack our skip decorators with 3rd party decorators38def check_slow():39    run_slow = bool(os.getenv("RUN_SLOW", 0))40    if run_slow:41        assert True42    else:43        assert False, "should have been skipped"44# test that we can stack our skip decorators45def check_slow_torch_cuda():46    run_slow = bool(os.getenv("RUN_SLOW", 0))47    if run_slow and torch_device == "cuda":48        assert True49    else:50        assert False, "should have been skipped"51@require_torch52class SkipTester(unittest.TestCase):53    @slow54    @require_torch_gpu55    def test_2_skips_slow_first(self):56        check_slow_torch_cuda()57    @require_torch_gpu58    @slow59    def test_2_skips_slow_last(self):60        check_slow_torch_cuda()61    # The combination of any skip decorator, followed by parameterized fails to skip the tests62    # 1. @slow manages to correctly skip `test_param_slow_first`63    # 2. but then `parameterized` creates new tests, with a unique name for each parameter groups.64    #    It has no idea that they are to be skipped and so they all run, ignoring @slow65    # Therefore skip decorators must come after `parameterized`66    #67    # @slow68    # @parameterized.expand(params)69    # def test_param_slow_first(self, param=None):70    #     check_slow()71    # This works as expected:72    # 1. `parameterized` creates new tests with unique names73    # 2. each of them gets an opportunity to be skipped74    @parameterized.expand(params)75    @slow76    def test_param_slow_last(self, param=None):77        check_slow()78# skipping in non-unittest tests79# no problem at all here80@slow81@require_torch_gpu82def test_pytest_2_skips_slow_first():83    check_slow_torch_cuda()84@require_torch_gpu85@slow86def test_pytest_2_skips_slow_last():87    check_slow_torch_cuda()88@slow89@pytest.mark.parametrize("param", [1])90def test_pytest_param_slow_first(param):91    check_slow()92@pytest.mark.parametrize("param", [1])93@slow94def test_pytest_param_slow_last(param):...

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