I was wondering in how does exactly deepcopy work in the following context:
from copy import deepcopy
def copyExample:
self.myDict = {}
firstPositio
I know it isn't answering your question but I think it's noteworthy for people looking at this question.
If the data you're copying is simple in nature deepcopy might be overkill. With simple in nature I mean if your data is representable as Json. Let me illustrate with code:
I've used http://www.json-generator.com/ to get some sample json data.
def deepCopyList(inp):
for vl in inp:
if isinstance(vl, list):
yield list(deepCopyList(vl))
elif isinstance(vl, dict):
yield deepCopyDict(vl)
def deepCopyDict(inp):
outp = inp.copy()
for ky, vl in outp.iteritems():
if isinstance(vl, dict):
outp[ky] = deepCopyDict(vl)
elif isinstance(vl, list):
outp[ky] = list(deepCopyList(vl))
return outp
def simpleDeepCopy(inp):
if isinstance(inp, dict):
return deepCopyDict(inp)
elif isinstance(inp, list):
return deepCopyList(inp)
else:
return inp
if __name__ == '__main__':
import simplejson as json
import time
from copy import deepcopy
fl = open('sample.json', 'r')
sample = json.load(fl)
start = time.time()
for _ in xrange(10000):
tmp = simpleDeepCopy(sample)
end = time.time()
print 'simpleDeepCopy: ' + str(end - start)
start = time.time()
for _ in xrange(10000):
tmp = deepcopy(sample)
end = time.time()
print 'copy.deepcopy: ' + str(end - start)
output:
simpleDeepCopy: 0.0132050514221
copy.deepcopy: 2.66142916679
simpleDeepCopy: 0.0128579139709
copy.deepcopy: 2.60736298561
The documentation makes it pretty clear that you're getting new copies, not references. Deepcopy creates deep copies for built in types, with various exceptions and that you can add custom copy operations to your user-defined objects to get deep copy support for them as well. If you're not sure, well that's what unit testing is for.