outpath = inpath
summary = {}
# loop over dataset sources
for dataset in list(conf.set_data.keys()):
print(dataset)
# input directory
inpath = outpath + '/' + dataset
# loop over targets
for target in conf.set_data[dataset]['ids']:
print(target)
# load results
results, fpkeys = ana_func.readFile(
open(inpath + '/target_' + str(target) + '.txt', 'r'))
methodkeys = list(results.keys())
# if summary is not yet set: prepare it
if len(summary) == 0:
for m in methodkeys:
summary[m] = defaultdict(list)
# fill results into summary dictionary
for m in methodkeys:
for i, k in enumerate(fpkeys):
j = i * 2
summary[m][k].append(
[target, results[m][j], results[m][j + 1]])
# write out
if options.inpath:
inpath = path + options.inpath
ana_func.checkPath(inpath)
outpath = inpath
summary = {}
# input path
inpath = outpath + "/ChEMBL"
# loop over targets
for target in conf.set_data:
print target
# load results
results, fpkeys = ana_func.readFile(open(inpath + "/target_" + str(target) + ".txt", "r"))
methodkeys = results.keys()
# if summary is not yet set: prepare it
if len(summary) == 0:
for m in methodkeys:
summary[m] = defaultdict(list)
# fill results into summary dictionary
for m in methodkeys:
for i, k in enumerate(fpkeys):
j = i * 2
summary[m][k].append([target, results[m][j], results[m][j + 1]])
# write out
outdir = outpath + "/fp_summary/"
outpath = inpath
summary = {}
# loop over dataset sources
for dataset in conf.set_data.keys():
print dataset
# input path
inpath = outpath+'/'+dataset
# loop over targets
for target in conf.set_data[dataset]['ids']:
print target
# load results
results, fpkeys = ana_func.readFile(open(inpath+'/target_'+str(target)+'.txt', 'r'))
methodkeys = results.keys()
# if summary is not yet set: prepare it
if len(summary) == 0:
for m in methodkeys:
summary[m] = defaultdict(list)
# fill results into summary dictionary
for m in methodkeys:
for i,k in enumerate(fpkeys):
j = i*2
summary[m][k].append([target, results[m][j], results[m][j+1]])
# write out
outdir = outpath+'/fp_summary/'
outpath = inpath
summary = {}
# loop over dataset sources
for dataset in list(conf.set_data.keys()):
print(dataset)
# input path
inpath = outpath + "/" + dataset
# loop over targets
for target in conf.set_data[dataset]["ids"]:
print(target)
# load results
results, fpkeys = ana_func.readFile(
open(inpath + "/target_" + str(target) + ".txt", "r"))
methodkeys = list(results.keys())
# if summary is not yet set: prepare it
if len(summary) == 0:
for m in methodkeys:
summary[m] = defaultdict(list)
# fill results into summary dictionary
for m in methodkeys:
for i, k in enumerate(fpkeys):
j = i * 2
summary[m][k].append(
[target, results[m][j], results[m][j + 1]])
# write out