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ERROR: test_download_1_clara_pt_covid19_ct_lesion_segmentation (tests.test_mmar_download.TestMMMARDownload)
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Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/parameterized/parameterized.py", line 533, in standalone_func
    return func(*(a + p.args), **p.kwargs)
  File "/__w/MONAI/MONAI/tests/test_mmar_download.py", line 121, in test_download
    download_mmar(idx)
  File "/__w/MONAI/MONAI/monai/apps/mmars/mmars.py", line 142, in download_mmar
    raise ValueError(f"api query returns no item for pattern {item}.  Please change or shorten it.")
ValueError: api query returns no item for pattern clara_pt_covid19_ct_lesion_segmentation.  Please change or shorten it.

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01:00:29  /opt/conda/lib/python3.8/site-packages/papermill/iorw.py:153: UserWarning: the file is not specified with any extension : -
01:00:29    warnings.warn(
01:03:55  
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Executing:  70%|███████   | 21/30 [03:25<01:28,  9.78s/cell]
01:03:55  /opt/conda/lib/python3.8/site-packages/papermill/iorw.py:153: UserWarning: the file is not specified with any extension : -
01:03:55    warnings.warn(
01:03:55  Traceback (most recent call last):
01:03:55    File "/opt/conda/bin/papermill", line 8, in <module>
01:03:55      sys.exit(papermill())
01:03:55    File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1130, in __call__
01:03:55      return self.main(*args, **kwargs)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1055, in main
01:03:55      rv = self.invoke(ctx)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1404, in invoke
01:03:55      return ctx.invoke(self.callback, **ctx.params)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 760, in invoke
01:03:55      return __callback(*args, **kwargs)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/click/decorators.py", line 26, in new_func
01:03:55      return f(get_current_context(), *args, **kwargs)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/papermill/cli.py", line 250, in papermill
01:03:55      execute_notebook(
01:03:55    File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 128, in execute_notebook
01:03:55      raise_for_execution_errors(nb, output_path)
01:03:55    File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 232, in raise_for_execution_errors
01:03:55      raise error
01:03:55  papermill.exceptions.PapermillExecutionError: 
01:03:55  ---------------------------------------------------------------------------
01:03:55  Exception encountered at "In [12]":
01:03:55  ---------------------------------------------------------------------------
01:03:55  ValueError                                Traceback (most recent call last)
01:03:55  Cell In [12], line 5
01:03:55        3 if PRETRAINED:
01:03:55        4     print("using a pretrained model.")
01:03:55  ----> 5     unet_model = load_from_mmar(
01:03:55        6         item=mmar[RemoteMMARKeys.NAME],
01:03:55        7         mmar_dir=root_dir,
01:03:55        8         map_location=device,
01:03:55        9         pretrained=True)
01:03:55       10     model = unet_model
01:03:55       11 else:
01:03:55  
01:03:55  File /home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/apps/mmars/mmars.py:225, in load_from_mmar(item, mmar_dir, progress, version, map_location, pretrained, weights_only, model_key, api, model_file)
01:03:55      223 if not isinstance(item, Mapping):
01:03:55      224     item = get_model_spec(item)
01:03:55  --> 225 model_dir = download_mmar(item=item, mmar_dir=mmar_dir, progress=progress, version=version, api=api)
01:03:55      226 if model_file is None:
01:03:55      227     model_file = os.path.join("models", "model.pt")
01:03:55  
01:03:55  File /home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/apps/mmars/mmars.py:142, in download_mmar(item, mmar_dir, progress, api, version)
01:03:55      140 model_dict = _get_all_ngc_models(item.get(Keys.NAME, f"{item}") if isinstance(item, Mapping) else f"{item}")
01:03:55      141 if len(model_dict) == 0:
01:03:55  --> 142     raise ValueError(f"api query returns no item for pattern {item}.  Please change or shorten it.")
01:03:55      143 model_dir_list = []
01:03:55      144 for k, v in model_dict.items():
01:03:55  
01:03:55  ValueError: api query returns no item for pattern {'name': 'clara_pt_spleen_ct_segmentation'}.  Please change or shorten it.