def process(self):
if not self.outputs['data'].is_linked:
return
data_ = self.inputs['data'].sv_get()
data = dataCorrect(data_, nominal_dept=self.level)
out_ = []
for obj in data:
out_.append(svQsort(obj))
out = dataCorrect(out_)
self.outputs['data'].sv_set(out)
def process(self):
if not self.outputs["data"].is_linked:
return
data_ = self.inputs["data"].sv_get()
data = dataCorrect(data_, nominal_dept=self.level)
out_ = []
for obj in data:
out_.append(svQsort(obj))
out = dataCorrect(out_)
self.outputs["data"].sv_set(out)
def process(self):
if not self.outputs['data'].is_linked:
return
data_ = self.inputs['data'].sv_get()
data = dataCorrect(data_, nominal_dept=self.level).copy()
out_ = []
if not self.inputs['keys'].is_linked:
for obj in data:
out_.append(svQsort(obj))
else:
keys_ = self.inputs['keys'].sv_get()
keys = dataCorrect(keys_, nominal_dept=1)
for d,k in zip(data,keys):
d.sort(key = lambda x: k.pop(0))
out_.append(d)
out = dataCorrect(out_)
self.outputs['data'].sv_set(out)
def process(self):
if not self.outputs['data'].is_linked:
return
data_ = self.inputs['data'].sv_get()
data = dataCorrect(data_, nominal_dept=self.level).copy()
out_ = []
if not self.inputs['keys'].is_linked:
for obj in data:
out_.append(svQsort(obj))
else:
keys_ = self.inputs['keys'].sv_get()
keys = dataCorrect(keys_, nominal_dept=1)
for d, k in zip(data, keys):
d.sort(key=lambda x: k.pop(0))
out_.append(d)
out = dataCorrect(out_)
self.outputs['data'].sv_set(out)
