def run_jags_emitter(target, source, env):
try:
args = source[-1].read()
except:
args = {}
new_targets = []
basename = meta_basename(target[0].rstr())
for i in range(int(math.ceil(args.get("samples") / float(args.get("save", 100))))):
new_targets.append(os.path.join(env["DIR"], "%s_%s-%s.pkl.gz" % (basename, i * args.get("save", 100) + 1, min((i + 1) * args.get("save", 100), args.get("samples")))))
return new_targets, source
def subsample_emitter(target, source, env):
args = source[-1].read()
new_targets = []
for i in range(1, args["COUNT"] + 1):
new_targets.append(os.path.join(env["DIR"], "%s_%d.arff.gz" % (meta_basename(source[0].rstr()), i)))
return new_targets, source
def arff_emitter(target, source, env):
if not any([target[0].rstr().endswith(x) for x in [".arff", ".arff.gz"]]):
target[0] = "${BASE}/%s${UNIQUE}.arff" % (meta_basename(source[0].rstr()))
env.Alias("arff", target)
return target, source
def model_emitter(target, source, env):
original = os.path.splitext(meta_basename(source[0].rstr()))[0]
options = "_".join([x.read() for x in source[1:]])
target[0] = "%s/%s_%s.model" % (env["DIR"], original, options)
target.append("%s/%s_%s.out" % (env["DIR"], original, options))
return target, source
def gaussier_emitter(target, source, env):
target[0] = "${BASE}/%s.xml" % meta_basename(source[0].rstr())
return target, source
