Issues running triqler on example iPRG2016.tsv data

[magnuspalmblad]

Dear Matthew,

I just installed and tried triqler on the example data, but get the error below. Any idea what could cause this? I run Python 3.6.4. and Anaconda under Windows 10.

The error message: (base) C:\Users\Magnus Palmblad\Documents>head -3 iPRG2016.tsv run condition charge searchScore intensity peptide proteins A1.ms2 1:A+B 2 -1.39236 394249806.7249588 K.LLEGPTVTDR.L decoy_HPRR4310048_entrapment A2.ms2 1:A+B 2 -1.39838 445444704.9268748 K.LLEGPTVTDR.L decoy_HPRR4310048_entrapment

(base) C:\Users\Magnus Palmblad\Documents>tail -3 iPRG2016.tsv C1.ms2 3:A 3 -1.45912 12915789.487361887 K.TLEFLPRPRPSANRQR.L HPRR4320022_entrapment C2.ms2 3:A 3 -1.55708 5550268.634351935 K.TLEFLPRPRPSANRQR.L HPRR4320022_entrapment C3.ms2 3:A 3 -1.44732 7446522.421254935 K.TLEFLPRPRPSANRQR.L HPRR4320022_entrapment

(base) C:\Users\Magnus Palmblad\Documents>python -m triqler --fold_change_eval 0.8 iPRG2016.tsv Triqler version 0.1.2 Copyright (c) 2018 Matthew The. All rights reserved. Written by Matthew The (matthew.the@scilifelab.se) in the School of Engineering Sciences in Chemistry, Biotechnology and Health at the Royal Institute of Technology in Stockholm.

Parsing triqler input file Calculating identification PEPs featureClusterIdx: 0 featureClusterIdx: 10000 Dividing intensities by 100000 for increased readability Surviving spectrumIdxs: 12452 Converting to peptide quant rows Calculating peptide-level identification PEPs Writing peptide quant rows to file Fitting hyperparameters params["muDetect"], params["sigmaDetect"] = 1.048101, 0.376365 params["muXIC"], params["sigmaXIC"] = 3.277408, 0.951171 params["muProtein"], params["sigmaProtein"] = 0.066833, 0.239527 params["muFeatureDiff"], params["sigmaFeatureDiff"] = -0.014124, 0.148583 params["shapeInGroupStdevs"], params["scaleInGroupStdevs"] = 1.027202, 0.089210 Calculating protein quants Traceback (most recent call last): File "C:\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "C:\Anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Anaconda3\lib\site-packages\triqler__main__.py", line 8, in main() File "C:\Anaconda3\lib\site-packages\triqler\triqler.py", line 35, in main runTriqler(params, args.in_file, args.out_file) File "C:\Anaconda3\lib\site-packages\triqler\triqler.py", line 102, in runTriqler diff_exp.doDiffExp(params, peptQuantRows, triqlerOutputFile, getPickedProteinCalibration, selectComparisonBayesTmp, qvalMethod = qvalMethod) File "C:\Anaconda3\lib\site-packages\triqler\diff_exp.py", line 17, in doDiffExp proteinOutputRows = proteinQuantificationMethod(peptQuantRows, params, proteinModifier, getEvalFeatures) File "C:\Anaconda3\lib\site-packages\triqler\triqler.py", line 360, in getPickedProteinCalibration posteriors = processingPool.checkPool(printProgressEvery = 50) File "C:\Anaconda3\lib\site-packages\triqler\multiprocessing_pool.py", line 19, in checkPool outputs.append(res.get(0xFFFFFFFF)) File "C:\Anaconda3\lib\multiprocessing\pool.py", line 638, in get self.wait(timeout) File "C:\Anaconda3\lib\multiprocessing\pool.py", line 635, in wait self._event.wait(timeout) File "C:\Anaconda3\lib\threading.py", line 551, in wait signaled = self._cond.wait(timeout) File "C:\Anaconda3\lib\threading.py", line 299, in wait gotit = waiter.acquire(True, timeout) OverflowError: timeout value is too large

[MatthewThe]

Dear Magnus,

Thanks for reporting this, apparently the multiprocessing module has some restrictions on Windows which I haven't taken into account. I will have a look if I can fix this, or otherwise provide an option to disable the multiprocessing module.

[MatthewThe]

Dear Magnus,

I think I managed to fix the error and just created a new release (0.1.3) that should be installable with pip install --upgrade triqler (I had to upgrade the pip package to 0.18 for the --upgrade to work). Could you try if that fixes it for you?