I came across a weird issue. The error message is : global name 'id2tag' is not defined. I have read this post Accessing class variables from a list comprehension in the class definition . But obviously id2tag
is not a class variable. The code is listed below.
class evaluater:
def evaluate_topk(self, ground_truth_dict, predicted_dict, setting_name, setting, data,
eval_root_dir = './', file_name = 'result',k = 5,output_entry = 100 ):
#this part of code is not relevant
recall = {}
for key, ground_truth in ground_truth_dict.items():
recall[key] = recall_at_k(ground_truth, predicted_dict[key])
mean_recall = np.mean([value for key,value in recall.items()])
filepath = eval_root_dir + file_name
if not os.path.exists(os.path.dirname(filepath)):
os.makedirs(os.path.dirname(filepath))
#HERE IS WHERE id2tag DEFINED
id2tag = {row[0]:row[1] for row in data[config.TYPE_TAG] }
with open( filepath , 'a' ) as file:
for itemid in sorted(ground_truth_dict.keys())[1:100]:
file.write(str(itemid) + '\n')
file.write('gnd:'+str([id2tag[id] for id in ground_truth_dict[itemid]] ) + '\n')
file.write('prt' + str([ id2tag[id] for id in predicted_dict[itemid]]) + '\n' )
#if i use the below code instead, then would be fine
#gnd_tags = []
#prt_tags = []
#for id in ground_truth_dict[itemid]:
# gnd_tags.append(id2tag[id])
#
#for id in predicted_dict[itemid]:
# prt_tags.append(id2tag[id])
#
#file.write('gnd:'+str( gnd_tags ) + '\n')
#file.write('prt' + str(prt_tags) + '\n' )
return mean_recall
Syntax error in your complex embedded code. I think your weird issue will disappear, if you split your one line code to three:
# Change this line
id2tag = {row[0]:row[1] for row in data[config.TYPE_TAG]}
# Change to this
id2tag = {}
for row in data[config.TYPE_TAG]:
id2tag[row[0]] = row[1]
BTW: I'd suggest not use embedded for x in list_var
in your way, which is not very easy to read and understand for other code readers.
This is a weird issue. I encountered it when debugging inside namespace of a class function in py.test in pdb. Outside of pdb there was no error.
(Pdb) lines=["oneline",2,3,4,5]
(Pdb) ip_dict = dict( ( lines[i], lines[i+1] ) for i in range(0,len(lines),2) )
*** NameError: global name 'lines' is not defined
(Pdb) for i in range(0,len(lines),2): print "%d=%s" % (i,lines[i])
0=oneline
2=3
4=5
(Pdb) self
<Docker-sanity_regression.SANITY testMethod=test_SANITY_002_####_container>
To simplify the problem here is an example.
lines=["oneline",2,3,4,5]
ip_dict = dict( ( lines[i], lines[i+1] ) for i in range(0,len(lines),2) )
print ip_dict
This works fine for python 2.4. And python 2.7. Embedding the dict set in a class func:
class Test:
def __init__(self):
print "init"
self.ip_dict = {}
def setDict(self):
lines=["oneline",2,3,4,5]
self.ip_dict = dict( ( lines[i], lines[i+1] ) for i in range(0,len(lines),2) )
print self.ip_dict
foo = Test()
foo.setDict()
This also works fine for python 2.4. And python 2.7.
So I am thinking there is a funny namespace problem in certain versions of python and pdb for this type of comprehension. EDIT: Yes. Known issue for pdb. Thanks to https://stackoverflow.com/users/396967/kynan for explaining. https://bugs.python.org/issue21161 Title: list comprehensions don't see local variables in pdb in python3
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