python3Packages.mmengine: disable tests that fail due to resource conflicts on Darwin (#467624)

    # ValueError: User specified autocast device_type must be cuda or cpu, but got mps

    "tests/test_runner/test_runner.py::TestRunner::test_test"

    "tests/test_runner/test_runner.py::TestRunner::test_val"

    # Fails in pytestCheckHook due to multiple copies accessing the same resources (nixpkgs-review

    "tests/test_hooks/test_ema_hook.py::TestEMAHook::test_after_test_epoch"

    "tests/test_hooks/test_ema_hook.py::TestEMAHook::test_after_val_epoch"

    "tests/test_hooks/test_ema_hook.py::TestEMAHook::test_before_test_epoch"

    "tests/test_hooks/test_ema_hook.py::TestEMAHook::test_before_val_epoch"

    "tests/test_infer/test_infer.py"

    "tests/test_runner/test_runner.py::TestRunner::test_checkpoint"

    # torch.distributed.DistNetworkError: [...] message: address already in use

    # Happens in nixpkgs-review due to the lack of network namespacing

    # Note: These all worked fine in nix-build

    "tests/test_dist/test_dist.py"

    "tests/test_dist/test_utils.py" # fails in _init_dist_env

    "tests/test_hooks/test_sync_buffers_hook.py::TestSyncBuffersHook::test_sync_buffers_hook"

    "tests/test_model/test_model_utils.py::test_is_model_wrapper"

    "tests/test_model/test_wrappers/test_model_wrapper.py::TestDistributedDataParallel"

    "tests/test_optim/test_optimizer/test_optimizer.py::TestZeroOptimizer::test_zero_redundancy_optimizer"

    "tests/test_runner/test_runner.py::TestRunner::test_custom_loop"

    "tests/test_runner/test_runner.py::TestRunner::test_default_scope"

    "tests/test_runner/test_runner.py::TestRunner::test_init"

    "tests/test_runner/test_runner.py::TestRunner::test_train"

    "tests/test_optim/test_optimizer/test_optimizer_wrapper.py::TestOptimWrapper::test_optim_context"

    "tests/test_testing/test_runner_test_case.py"

    # TypeError: 'BaseDataset' object is not callable

    "tests/test_dataset/test_base_dataset.py::TestBaseDataset::test_get_subset[False-True]"

  ];

  disabledTests = [

    # Fails when max-jobs is set to use fewer processes than cores

    # for example `AssertionError: assert 14 == 4`

    "test_setup_multi_processes"

  ];

  # torch.distributed.DistNetworkError: The server socket has failed to bind.

  __darwinAllowLocalNetworking = true;

    # Crashes in pytestCheckHook due to MPS incompatibility in torch

    "test_with_runner"

  ];

  meta = {

    description = "Library for training deep learning models based on PyTorch";