gistfile1.txt

from hax.treemakers.peak_treemakers import PeakExtractor
class CoinPeaksInTPC(PeakExtractor):
    __version__ = '0.0.3'
    stop_after = 10
    peak_fields = ['area', 'type', 'x', 'y', 'n_hits', 'area_per_channel']
    event_cut_list = ['event_number %2 == 0' ]
    peak_cut_list = ['detector == "tpc"', 'type !="lone_hit"']
    extra_branches = ['peaks.area', 'peaks.type', 'peaks.reconstructed_positions*', 'peaks.n_hits', 'peaks.detector']
   
d_tpit = hax.minitrees.load(dataset, [CoinPeaksInTPC, 'Fundamentals'])


TypeError                                 Traceback (most recent call last)
<ipython-input-76-ac59eb1963d2> in <module>()
----> 1 d_tpit = hax.minitrees.load(dataset, [CoinPeaksInTPC, 'Fundamentals'])
      2 d_tpit.head()

/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/hax-2.4.0-py3.4.egg/hax/minitrees.py in load(datasets, treemakers, preselection, force_reload, delayed, num_workers, compute_options, cache_file, remake_cache, event_list)
    506 
    507     result = dask.dataframe.from_delayed(
--> 508         partial_results, meta=partial_results[0].compute())
    509 
    510     if not delayed:

/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/base.py in compute(self, **kwargs)
     77             Extra keywords to forward to the scheduler ``get`` function.
     78         """
---> 79         return compute(self, **kwargs)[0]
     80 
     81     @classmethod

/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/base.py in compute(*args, **kwargs)
    177         dsk = merge(var.dask for var in variables)
    178     keys = [var._keys() for var in variables]
--> 179     results = get(dsk, keys, **kwargs)
    180 
    181     results_iter = iter(results)

/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/threaded.py in get(dsk, result, cache, num_workers, **kwargs)
     74     results = get_async(pool.apply_async, len(pool._pool), dsk, result,
     75                         cache=cache, get_id=_thread_get_id,
---> 76                         **kwargs)
     77 
     78     # Cleanup pools associated to dead threads

/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/async.py in get_async(apply_async, num_workers, dsk, result, cache, get_id, raise_on_exception, rerun_exceptions_locally, callbacks, dumps, loads, **kwargs)
    491                     _execute_task(task, data)  # Re-execute locally
    492                 else:
--> 493                     raise(remote_exception(res, tb))
    494             state['cache'][key] = res
    495             finish_task(dsk, key, state, results, keyorder.get)

TypeError: Column area_per_channel is an array field, and you want to save to root. Either (1) use MultipleRowExtractor-based minitrees; or (2) add a uses_arrays=True attribute to the type class; or (3) use pickle as your minitree format.

Traceback
---------
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/async.py", line 268, in execute_task
    result = _execute_task(task, data)
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/async.py", line 249, in _execute_task
    return func(*args2)
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/dask/compatibility.py", line 47, in apply
    return func(*args, **kwargs)
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/hax-2.4.0-py3.4.egg/hax/minitrees.py", line 385, in load_single_dataset
    run_id, treemaker, force_reload=force_reload, event_list=event_list)
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/hax-2.4.0-py3.4.egg/hax/minitrees.py", line 349, in load_single_minitree
    get_format(minitree_path, treemaker).save_data(metadata_dict, skimmed_data)
  File "/project/lgrandi/anaconda3/envs/pax_head/lib/python3.4/site-packages/hax-2.4.0-py3.4.egg/hax/minitree_formats.py", line 69, in save_data
    self.treemaker.__class__.__name__))