We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Accessor not available in dataset
I fetched the latest updates after the lazy_loading PR and ran pytest and am seeing a lot of errors with accessors not loading.  Clean, QCFilter, and QCTests are no longer available in the datasets for some reason.

FAILED test_io.py::test_io_mfdataset - AttributeError: 'Dataset' object has no attribute 'clean'
FAILED test_io.py::test_io_write - AttributeError: 'Dataset' object has no attribute 'clean'
FAILED test_io.py::test_clean_cf_qc - AttributeError: 'Dataset' object has no attribute 'clean'

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `act/qc/__init__.py`
Content:
```
1 """
2 This module contains procedures for working with QC information
3 and for applying tests to data.
4 
5 """
6 
7 import lazy_loader as lazy
8 
9 # We need to import clean first to register the accessor
10 from .clean import *
11 
12 __getattr__, __dir__, __all__ = lazy.attach(
13     __name__,
14     submodules=[
15         'add_supplemental_qc',
16         'arm',
17         'bsrn_tests',
18         'comparison_tests',
19         'qcfilter',
20         'qctests',
21         'radiometer_tests',
22         'sp2',
23     ],
24     submod_attrs={
25         'arm': ['add_dqr_to_qc'],
26         'qcfilter': ['QCFilter'],
27         'qctests': ['QCTests'],
28         'radiometer_tests': ['fft_shading_test'],
29         'bsrn_tests': ['QCTests'],
30         'comparison_tests': ['QCTests'],
31         'add_supplemental_qc': ['read_yaml_supplemental_qc'],
32         'sp2': ['SP2ParticleCriteria', 'get_waveform_statistics'],
33     },
34 )
35
```

Path: `act/__init__.py`
Content:
```
1 """
2 ACT: The Atmospheric Community Toolkit
3 ======================================
4 
5 """
6 
7 import lazy_loader as lazy
8 # No more pandas warnings
9 from pandas.plotting import register_matplotlib_converters
10 
11 from . import tests
12 from ._version import get_versions
13 
14 register_matplotlib_converters()
15 
16 # Import the lazy loaded modules
17 submodules = [
18     'corrections',
19     'discovery',
20     'io',
21     'qc',
22     'utils',
23     'retrievals',
24     'plotting',
25 ]
26 __getattr__, __dir__, _ = lazy.attach(__name__, submodules)
27 
28 # Version for source builds
29 vdict = get_versions()
30 __version__ = vdict['version']
31
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/act/__init__.py b/act/__init__.py
--- a/act/__init__.py
+++ b/act/__init__.py
@@ -5,11 +5,13 @@
 """
 
 import lazy_loader as lazy
+
 # No more pandas warnings
 from pandas.plotting import register_matplotlib_converters
 
 from . import tests
 from ._version import get_versions
+from .qc import QCFilter, QCTests, clean
 
 register_matplotlib_converters()
 
diff --git a/act/qc/__init__.py b/act/qc/__init__.py
--- a/act/qc/__init__.py
+++ b/act/qc/__init__.py
@@ -8,6 +8,8 @@
 
 # We need to import clean first to register the accessor
 from .clean import *
+from .qcfilter import QCFilter
+from .qctests import QCTests
 
 __getattr__, __dir__, __all__ = lazy.attach(
     __name__,

{"golden_diff": "diff --git a/act/__init__.py b/act/__init__.py\n--- a/act/__init__.py\n+++ b/act/__init__.py\n@@ -5,11 +5,13 @@\n \"\"\"\n \n import lazy_loader as lazy\n+\n # No more pandas warnings\n from pandas.plotting import register_matplotlib_converters\n \n from . import tests\n from ._version import get_versions\n+from .qc import QCFilter, QCTests, clean\n \n register_matplotlib_converters()\n \ndiff --git a/act/qc/__init__.py b/act/qc/__init__.py\n--- a/act/qc/__init__.py\n+++ b/act/qc/__init__.py\n@@ -8,6 +8,8 @@\n \n # We need to import clean first to register the accessor\n from .clean import *\n+from .qcfilter import QCFilter\n+from .qctests import QCTests\n \n __getattr__, __dir__, __all__ = lazy.attach(\n     __name__,\n", "issue": "Accessor not available in dataset\nI fetched the latest updates after the lazy_loading PR and ran pytest and am seeing a lot of errors with accessors not loading.  Clean, QCFilter, and QCTests are no longer available in the datasets for some reason.\r\n\r\nFAILED test_io.py::test_io_mfdataset - AttributeError: 'Dataset' object has no attribute 'clean'\r\nFAILED test_io.py::test_io_write - AttributeError: 'Dataset' object has no attribute 'clean'\r\nFAILED test_io.py::test_clean_cf_qc - AttributeError: 'Dataset' object has no attribute 'clean'\n", "before_files": [{"content": "\"\"\"\nThis module contains procedures for working with QC information\nand for applying tests to data.\n\n\"\"\"\n\nimport lazy_loader as lazy\n\n# We need to import clean first to register the accessor\nfrom .clean import *\n\n__getattr__, __dir__, __all__ = lazy.attach(\n    __name__,\n    submodules=[\n        'add_supplemental_qc',\n        'arm',\n        'bsrn_tests',\n        'comparison_tests',\n        'qcfilter',\n        'qctests',\n        'radiometer_tests',\n        'sp2',\n    ],\n    submod_attrs={\n        'arm': ['add_dqr_to_qc'],\n        'qcfilter': ['QCFilter'],\n        'qctests': ['QCTests'],\n        'radiometer_tests': ['fft_shading_test'],\n        'bsrn_tests': ['QCTests'],\n        'comparison_tests': ['QCTests'],\n        'add_supplemental_qc': ['read_yaml_supplemental_qc'],\n        'sp2': ['SP2ParticleCriteria', 'get_waveform_statistics'],\n    },\n)\n", "path": "act/qc/__init__.py"}, {"content": "\"\"\"\nACT: The Atmospheric Community Toolkit\n======================================\n\n\"\"\"\n\nimport lazy_loader as lazy\n# No more pandas warnings\nfrom pandas.plotting import register_matplotlib_converters\n\nfrom . import tests\nfrom ._version import get_versions\n\nregister_matplotlib_converters()\n\n# Import the lazy loaded modules\nsubmodules = [\n    'corrections',\n    'discovery',\n    'io',\n    'qc',\n    'utils',\n    'retrievals',\n    'plotting',\n]\n__getattr__, __dir__, _ = lazy.attach(__name__, submodules)\n\n# Version for source builds\nvdict = get_versions()\n__version__ = vdict['version']\n", "path": "act/__init__.py"}], "after_files": [{"content": "\"\"\"\nThis module contains procedures for working with QC information\nand for applying tests to data.\n\n\"\"\"\n\nimport lazy_loader as lazy\n\n# We need to import clean first to register the accessor\nfrom .clean import *\nfrom .qcfilter import QCFilter\nfrom .qctests import QCTests\n\n__getattr__, __dir__, __all__ = lazy.attach(\n    __name__,\n    submodules=[\n        'add_supplemental_qc',\n        'arm',\n        'bsrn_tests',\n        'comparison_tests',\n        'qcfilter',\n        'qctests',\n        'radiometer_tests',\n        'sp2',\n    ],\n    submod_attrs={\n        'arm': ['add_dqr_to_qc'],\n        'qcfilter': ['QCFilter'],\n        'qctests': ['QCTests'],\n        'radiometer_tests': ['fft_shading_test'],\n        'bsrn_tests': ['QCTests'],\n        'comparison_tests': ['QCTests'],\n        'add_supplemental_qc': ['read_yaml_supplemental_qc'],\n        'sp2': ['SP2ParticleCriteria', 'get_waveform_statistics'],\n    },\n)\n", "path": "act/qc/__init__.py"}, {"content": "\"\"\"\nACT: The Atmospheric Community Toolkit\n======================================\n\n\"\"\"\n\nimport lazy_loader as lazy\n\n# No more pandas warnings\nfrom pandas.plotting import register_matplotlib_converters\n\nfrom . import tests\nfrom ._version import get_versions\nfrom .qc import QCFilter, QCTests, clean\n\nregister_matplotlib_converters()\n\n# Import the lazy loaded modules\nsubmodules = [\n    'corrections',\n    'discovery',\n    'io',\n    'qc',\n    'utils',\n    'retrievals',\n    'plotting',\n]\n__getattr__, __dir__, _ = lazy.attach(__name__, submodules)\n\n# Version for source builds\nvdict = get_versions()\n__version__ = vdict['version']\n", "path": "act/__init__.py"}]}