def all_i_know():
results_path = '/home/labs/fleishman/jonathaw/no_backup/designs/multi_docs_15Oct/reclique_18Nov/cliques_prediction/results/'
sc_files = [a for a in os.listdir(results_path) if '.score' in a]
result = []
for sc in sc_files:
coh_name = what_coh(sc, args={'naming': 'coh_on_doc'})
doc_name = what_doc(sc, args={'naming': 'coh_on_doc'})
result.append([coh_name, doc_name])
return result
def creat_coh_doc_purples():
results_path = '/home/labs/fleishman/jonathaw/no_backup/designs/multi_docs_15Oct/reclique_18Nov/cliques_prediction/results/'
sc_files = [a for a in os.listdir(results_path) if '.score' in a]
run_filters = generate_run_filters(args={'ddg': 24.0, 'sasa': 1400, 'shape': 0.6, 'packstat': 0.6, 'buried_2': 3,
'hbonds': -10.})
if not os.path.isfile(results_path+'analysed.obj'):
coh_doc_purples = {}
for sc_file in sc_files:
sc_dict = score2dict(results_path+sc_file)
passed, failed = all_who_pass_run_filters({}, sc_dict, run_filters)
coh_name = what_coh(sc_file, args={'naming': 'coh_on_doc'})
doc_name = what_doc(sc_file, args={'naming': 'coh_on_doc'})
if coh_name not in coh_doc_purples.keys():
coh_doc_purples[coh_name] = {}
coh_doc_purples[coh_name][doc_name] = len(passed)
pickle.dump(coh_doc_purples, open(results_path+'analysed.obj', 'wb'))
else:
print("reading coh_doc_purples")
coh_doc_purples = pickle.load(open(results_path+'analysed.obj', 'rb'))
return coh_doc_purples
