def stand_alone():
file_path = get_filename()
reader_gcms = ReadAndiNetCDF(file_path)
reader_gcms.run()
gcms = reader_gcms.get_gcms_obj()
gcms.process_chromatogram()
def run_multiprocess():
cores = 4
# file_location = get_dirname()
file_location = get_filename()
p = Pool(cores)
args = [(file_path) for file_path in [file_location] * 1]
ms_collection = p.map(worker, args)
p.close()
p.join()
for ms in ms_collection:
ms[0].to_hdf('test')
cProfile.runctx('run_assignment(file_location)', globals(), locals(),
'di-fticr-di.prof')
#stats = pstats.Stats("topics.prof")
#stats.strip_dirs().sort_stats("time").print_stats()
def run_multiprocess():
cores = 4
#file_location = get_dirname()
file_location = get_filename()
p = Pool(cores)
args = [(file_path) for file_path in [file_location] * 1]
ms_collection = p.map(worker, args)
p.close()
p.join()
for ms in ms_collection:
ms[0].to_hdf('test')
if __name__ == "__main__":
#run_multiprocess()
#cpu_percents = monitor(target=run_multiprocess)
#print(cpu_percents)
file_location = get_filename()
if file_location:
run_assignment(file_location)
#Loss_finder.LF_out(offset_hits, Loss_finder.mz_count)
out = Loss_finder.plot_offset()
print(out)
#ax = gcms.plot_gc_peaks()
#ax.savefig('lf_fig.png')
#ax = MassSpecBase.plot_mz_domain_profile(MassSpecBase)
#plt.show()
#MassSpecBase.plot_mz_domain_profile(gcms)
#MassSpecBase.plot_profile_and_noise_threshold(gcms)
#plt.show()
return offset_hits, Loss_finder.mz_count
if __name__ == '__main__':
file_path = get_filename()
ref_file = '/mnt/c/ubuntu_home/loss_finder/NeutralLossList.csv'
output, mz_count = run_targetedLF(file_path, ref_file)