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get
I can follow the setup instructions and then run a successful get example
I am unable to get a dataset
Traceback (most recent call last): File "/home/surchs/miniconda3/envs/cohort/bin/cohort_creator", line 8, in <module> sys.exit(cli()) ^^^^^ File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/_cli.py", line 104, in cli get_data( File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/main.py", line 192, in get_data uri = get_dataset_url(dataset_, dataset_type_) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/_utils.py", line 625, in get_dataset_url datasets = known_datasets_df() ^^^^^^^^^^^^^^^^^^^ File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/data/utils.py", line 48, in known_datasets_df openneuro_df = _load_known_datasets(_openneuro_listing_tsv()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/data/utils.py", line 88, in _load_known_datasets df["duration"] = df["duration"].apply(_convert_duration) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/site-packages/pandas/core/series.py", line 4924, in apply ).apply() ^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/site-packages/pandas/core/apply.py", line 1427, in apply return self.apply_standard() ^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/site-packages/pandas/core/apply.py", line 1507, in apply_standard mapped = obj._map_values( ^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/site-packages/pandas/core/base.py", line 921, in _map_values return algorithms.map_array(arr, mapper, na_action=na_action, convert=convert) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/site-packages/pandas/core/algorithms.py", line 1743, in map_array return lib.map_infer(values, mapper, convert=convert) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "lib.pyx", line 2972, in pandas._libs.lib.map_infer File "/home/surchs/Repositories/external/cohort_creator/cohort_creator/data/utils.py", line 96, in _convert_duration x = literal_eval(x.replace("nan", "None")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 112, in literal_eval return _convert(node_or_string) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 101, in _convert return dict(zip(map(_convert, node.keys), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 101, in _convert return dict(zip(map(_convert, node.keys), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 92, in _convert return list(map(_convert, node.elts)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 111, in _convert return _convert_signed_num(node) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 85, in _convert_signed_num return _convert_num(node) ^^^^^^^^^^^^^^^^^^ File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 76, in _convert_num _raise_malformed_node(node) File "/home/surchs/miniconda3/envs/cohort/lib/python3.12/ast.py", line 73, in _raise_malformed_node raise ValueError(msg + f': {node!r}') ValueError: malformed node or string on line 1: <ast.Call object at 0x7f33d8808a10>
See also similar error in the CI: https://github.com/neurodatascience/cohort_creator/actions/runs/11661670629/job/32466433271#step:8:92
cohort_creator get -d inputs/dataset-results.tsv -p inputs/participant-results.tsv -o ./somecohort
No response
The text was updated successfully, but these errors were encountered:
OK it seems that I need to do some serious clean up here.
Will get on this next week, when the next release of Nilearn is done.
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Is there an existing issue for this?
Expected Behavior
I can follow the setup instructions and then run a successful
get
exampleCurrent Behavior
I am unable to
get
a datasetError message
See also similar error in the CI: https://github.com/neurodatascience/cohort_creator/actions/runs/11661670629/job/32466433271#step:8:92
Environment
How to reproduce
cohort_creator get -d inputs/dataset-results.tsv -p inputs/participant-results.tsv -o ./somecohort
Anything else?
No response
The text was updated successfully, but these errors were encountered: