'enumerate', 'eval', 'execfile', 'exit', 'file', 'filter', 'float', 'frozenset', 'getattr', 'globals', 'hasattr', 'hash', 'help', 'hex', 'id', 'input', 'int', 'intern', 'isinstance', 'issubclass', 'iter', 'len', 'license', 'list', 'locals', 'long', 'map', 'm...
global name 'range_iter_len' is not defined Traceback (most recent call last): File "[projectname]", line 201, in <module> res = toPointillismPainting(img) NameError: global name 'range_iter_len' is not defined removed temporary images When debugging, I realized that this range_iter_...
File "/home/akwok/TVM/insightface/recognition/ArcFace/image_iter.py", line 330, in get_face_image_iter rand_mirror=config.data_rand_mirror, NameError: name 'config' is not defined I already copy sample_config.py to config.py. The only other thing I did was to add ...
'max_iter' gives the maximum number of iterations to run, if 'condition' is not fulfilled. If it is None, there is no limit and thus, the condition must be fulfilled in order to terminate. If 'condition' is None, the set of models is run only once. """self.config['years'] = (...
译者：BXuan694 torchvision.utils.make_grid(tensor, nrow=8, padding=2, normalize=False, range=...
matrix ='cov'MAX_ITER =1000# Iterate over more EOFs than we need# (this helps with convergence)#TODO:a more rigorous formula for the optimum number of EOFs to useifsubspace <=0: subspace =2*num +8ifsubspace < num: subspace = num# Just in case# Remember the namesprefix1 = var1....
(sft);// Handle any aliases defined in infotb.setName(info.getName());tb.setNamespaceURI(info.getNamespace().getURI());// Handle the attributes manuallytb.setAttributes((AttributeDescriptor[])null);if(info.getAttributes()==null||info.getAttributes().isEmpty()){// take this to mean ...
if 'validity_duration' in d: dur = d['validity_duration'] if not isinstance(dur, (int, float)): raise ValueError('"validity_duration" must be a positive number') if dur < MIN_VALIDITY_DURATION_SEC or dur > MAX_VALIDITY_DURATION_SEC: raise ValueError( '"validity_duration" must be bet...
maxThroughput: try: data = self._system.read(self._fileno, self.maxPacketSize) except EnvironmentError as e: if e.errno in (errno.EWOULDBLOCK, errno.EAGAIN, errno.EINTR): return else: raise except: raise read += len(data) # TODO pkt.isPartial()? try: self.protocol.datagramReceived(...
cmd.delete(name)ifnotquiet: print(' normalmodes: object "%s" for mode %d'% (name, mode))forstateinrange(1, states+1): xyz_it = iter(modes[mode-7].getArrayNx3() * (factor * ((state-1.0)/(states-1.0) -0.5))) cmd.create(name, tmpsele,1, state, zoom=0) ...