repo_description: A Unified Library for Parameter-Efficient and Modular Transfer Learning 
repo_topics: adapters bert lora natural-language-processing nlp parameter-efficient-learning parameter-efficient-tuning pytorch transformers
code: # Copyright 2020 The HuggingFace Team. All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # tests directory-specific settings - this file is run automatically
  # by pytest before any tests are run
  
  import doctest
  import sys
  import warnings
  import os
  from os.path import abspath, dirname, join
  
  
  # allow having multiple repository checkouts and not needing to remember to rerun
  # 'pip install -e .[dev]' when switching between checkouts and running tests.
  git_repo_path = abspath(join(dirname(__file__), "src"))
  sys.path.insert(1, git_repo_path)
  
  # add original HF tests folder
  sys.path.insert(1, abspath(join(dirname(__file__), "hf_transformers")))
  
  # silence FutureWarning warnings in tests since often we can't act on them until
  # they become normal warnings - i.e. the tests still need to test the current functionality
  warnings.simplefilter(action="ignore", category=FutureWarning)
  
  
  # skip pipeline tests of HF by default
  os.environ["RUN_PIPELINE_TESTS"] = "false"
  
  
  def pytest_configure(config):
      config.addinivalue_line(
          "markers", "is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested"
      )
      config.addinivalue_line(
          "markers", "is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested"
      )
      config.addinivalue_line("markers", "is_pipeline_test: mark test to run only when pipelines are tested")
      config.addinivalue_line("markers", "is_staging_test: mark test to run only in the staging environment")
      config.addinivalue_line("markers", "accelerate_tests: mark test that require accelerate")
      config.addinivalue_line("markers", "agent_tests: mark the agent tests that are run on their specific schedule")
      config.addinivalue_line("markers", "not_device_test: mark the tests always running on cpu")
  
  
  def pytest_addoption(parser):
      from transformers.testing_utils import pytest_addoption_shared
  
      pytest_addoption_shared(parser)
  
  
  def pytest_terminal_summary(terminalreporter):
      from transformers.testing_utils import pytest_terminal_summary_main
  
      make_reports = terminalreporter.config.getoption("--make-reports")
      if make_reports:
          pytest_terminal_summary_main(terminalreporter, id=make_reports)
  
  
  def pytest_sessionfinish(session, exitstatus):
      # If no tests are collected, pytest exists with code 5, which makes the CI fail.
      if exitstatus == 5:
          session.exitstatus = 0
  
  
  # Doctest custom flag to ignore output.
  IGNORE_RESULT = doctest.register_optionflag('IGNORE_RESULT')
  
  OutputChecker = doctest.OutputChecker
  
  
  class CustomOutputChecker(OutputChecker):
      def check_output(self, want, got, optionflags):
          if IGNORE_RESULT & optionflags:
              return True
          return OutputChecker.check_output(self, want, got, optionflags)
  
  
  doctest.OutputChecker = CustomOutputChecker
  
  
  def pytest_collection_modifyitems(items):
      # Exclude the 'test_class' group from the test collection since it's not a real test class and byproduct of the generic test class generation.
      items[:] = [item for item in items if 'test_class' not in item.nodeid]