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Task exception was never retrieved
future: <Task finished name='Task-7' coro=<ConcurrentFuturesWorker.exec_as_coro() done, defined at /Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/engine/workers.py:173> exception=UnhashableError('Cannot hash object {\'model\': FirstLevelModel(smoothing_fwhm=5.0, subject_label=\'10159\', t_r=2), \'contrasts\': \'StopSuccess - Go\', \'_func\': b\'\\x80\\x05\\x95\\x04\\x04\\x00\\x00\\x00\\x00\\x00\\x00\\x8c\\x17cloudpickle.cloudpickle\\x94\\x8c\\x0e_make_function\\x94\\x93\\x94(h\\x00\\x8c\\r_builtin_type\\x94\\x93\\x94\\x8c\\x08CodeType\\x94\\x85\\x94R\\x94(K\\x02K\\x00K\\x00K\\x04K\\x04K\\x03C\\x9a\\x97\\x00t\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00j\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xa0\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00t\\x06\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00d\\x01\\xa6\\x02\\x00\\x00\\xab\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00}\\x02t\\t\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00|\\x00|\\x01\\xa6\\x02\\x00\\x00\\xab\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00}\\x03|\\x03\\xa0\\x05\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00|\\x02\\xa6\\x01\\x00\\x00\\xab\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00|\\x02S\\x00\\x94N\\x8c\\x0fglm_report.html\\x94\\x86\\x94(\\x8c\\x02os\\x94\\x8c\\x04path\\x94\\x8c\\x04join\\x94\\x8c\\x10workflow_out_dir\\x94\\x8c\\x0fmake_glm_report\\x94\\x8c\\x0csave_as_html\\x94t\\x94(\\x8c\\x05model\\x94\\x8c\\tcontrasts\\x94\\x8c\\x0boutput_file\\x94\\x8c\\x06report\\x94t\\x94\\x8cN/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_55279/3311347549.py\\x94\\x8c\\nglm_report\\x94h\\x18K\\x0eCD\\x80\\x00\\xf5\\n\\x00\\x13\\x15\\x94\\\'\\x97,\\x92,\\xd5\\x1f/\\xd01B\\xd1\\x12C\\xd4\\x12C\\x80K\\xdd\\r\\x1c\\x98U\\xa0I\\xd1\\r.\\xd4\\r.\\x80F\\xd8\\x04\\n\\xd7\\x04\\x17\\xd2\\x04\\x17\\x98\\x0b\\xd1\\x04$\\xd4\\x04$\\xd0\\x04$\\xd8\\x0b\\x16\\xd0\\x04\\x16\\x94C\\x00\\x94))t\\x94R\\x94}\\x94(\\x8c\\x0b__package__\\x94N\\x8c\\x08__name__\\x94\\x8c\\x08__main__\\x94uNNNt\\x94R\\x94\\x8c\\x1ccloudpickle.cloudpickle_fast\\x94\\x8c\\x12_function_setstate\\x94\\x93\\x94h"}\\x94}\\x94(h\\x1fh\\x18\\x8c\\x0c__qualname__\\x94h\\x18\\x8c\\x0f__annotations__\\x94}\\x94(h\\x12\\x8c\\x06typing\\x94\\x8c\\x03Any\\x94\\x93\\x94h\\x13\\x8c\\x08builtins\\x94\\x8c\\x03str\\x94\\x93\\x94\\x8c\\x06return\\x94}\\x94h\\x14h0su\\x8c\\x0e__kwdefaults__\\x94N\\x8c\\x0c__defaults__\\x94N\\x8c\\n__module__\\x94h \\x8c\\x07__doc__\\x94N\\x8c\\x0b__closure__\\x94N\\x8c\\x17_cloudpickle_submodules\\x94]\\x94\\x8c\\x0b__globals__\\x94}\\x94(h\\x0bh\\x00\\x8c\\tsubimport\\x94\\x93\\x94h\\x0b\\x85\\x94R\\x94h\\x0e\\x8c\\x07pathlib\\x94\\x8c\\tPosixPath\\x94\\x93\\x94(\\x8c\\x01/\\x94\\x8c\\x03tmp\\x94\\x8c\\x07outputs\\x94\\x8c\\x056_glm\\x94t\\x94R\\x94h\\x0f\\x8c\\x1enilearn.reporting.glm_reporter\\x94h\\x0f\\x93\\x94uu\\x86\\x94\\x86R0.\'}')>
concurrent.futures.process._RemoteTraceback:
"""
Traceback (most recent call last):
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 106, in bytes_repr
dct = obj.__dict__
^^^^^^^^^^^^
AttributeError: 'weakref.ReferenceType' object has no attribute '__dict__'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 73, in hash_object
return hash_single(obj, Cache({}))
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 89, in hash_single
for chunk in bytes_repr(obj, cache):
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 223, in bytes_repr_dict
yield from bytes_repr_mapping_contents(obj, cache)
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 264, in bytes_repr_mapping_contents
yield bytes(hash_single(mapping[key], cache))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 89, in hash_single
for chunk in bytes_repr(obj, cache):
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 114, in bytes_repr
yield from bytes_repr_mapping_contents(dct, cache)
File "/Users/yibeichen/miniconda3/envs/pydra-tutorial/lib/python3.11/site-packages/pydra/utils/hash.py", line 264, in bytes_repr_mapping_contents
yield bytes(hash_single(mapping[key], cache))
We figured that the error is due to the input model being too complicated; model is the first-level glm model after model.fit, which probably contains too much information.
We solved this problem by integrating glm_report into the model_fitting (l1estimation) node but we want to note this issue here for further reference. We'll probably encounter similar issue in the future.
The text was updated successfully, but these errors were encountered:
when debugging first-level glm for pydra tutorial we (@yibeichan @djarecka) encountered an error related to hash for a specific node.
Node:
Error:
We figured that the error is due to the input
model
being too complicated;model
is the first-level glm model aftermodel.fit
, which probably contains too much information.We solved this problem by integrating
glm_report
into the model_fitting (l1estimation
) node but we want to note this issue here for further reference. We'll probably encounter similar issue in the future.The text was updated successfully, but these errors were encountered: