I wrote a test program about Python generator. But I got an error that is not expected. And I don't know how to explain it. Let me show you the code:
def countdown(n):
logging.debug("Counting down")
while n > 0:
try:
yield n
except GeneratorExit:
logging.error("GeneratorExit")
n -= 1
if __name__ == '__main__':
c = countdown(10)
logging.debug("value: %d", c.next())
I thought it should run without any problem. But the output is:
# ./test.py
[2015/06/16 04:10:49] DEBUG - Counting down
[2015/06/16 04:10:49] DEBUG - value: 10
[2015/06/16 04:10:49] ERROR - GeneratorExit
Exception RuntimeError: 'generator ignored GeneratorExit' in <generator object countdown at 0x7f9934407640> ignored
Why is there an error at the last line. I don't know why I triggered the GeneratorExit exception. Is there something aobut generator I missed? I also typed the code into interactive python shell, and everything is OK. How can this happen?
If the generator function then exits gracefully, is already closed, or raises GeneratorExit (by not catching the exception), close returns to its caller. If the generator yields a value, a RuntimeError is raised. If the generator raises any other exception, it is propagated to the caller.
Create Generators in Python It is fairly simple to create a generator in Python. It is as easy as defining a normal function, but with a yield statement instead of a return statement. If a function contains at least one yield statement (it may contain other yield or return statements), it becomes a generator function.
Yes, generator can be used only once. but you have two generator object. Save this answer.
The Yield keyword in Python is similar to a return statement used for returning values or objects in Python. However, there is a slight difference. The yield statement returns a generator object to the one who calls the function which contains yield, instead of simply returning a value.
Suppose you have the following generator:
def gen():
with open('important_file') as f:
for line in f:
yield line
and you next
it once and throw it away:
g = gen()
next(g)
del g
The generator's control flow never leaves the with
block, so the file doesn't get closed. To prevent this, when a generator is garbage-collected, Python calls its close
method, which raises a GeneratorExit
exception at the point from which the generator last yield
ed. This exception is intended to trigger any finally
blocks or context manager __exit__
s that didn't get a chance to run.
When you catch the GeneratorExit
and keep going, Python sees that the generator didn't exit properly. Since that can indicate that resources weren't properly released, Python reports this as a RuntimeError.
When the generator object is garbage-collected at the end of your program, its close()
method is called, and this raises the GeneratorExit
exception inside the generator. Normally this is not caught and causes the generator to exit.
Since you catch the exception and proceed to yield another value, this causes a RuntimeError
. If you catch the GeneratorExit
exception you need to either reraise it, or exit the function without yielding anything else.
Maybe It's because your's yield value n is inside try blocks which always returns new n reference which make the last n value is garbage collected automatically. It's also state in PEP 342 :
"Add support to ensure that close() is called when a generator iterator is garbage-collected"
"Allow yield to be used in try/finally blocks, since garbage collection or an explicit close() call would now allow the finally clause to execute."
Since close method in generator is equivalent to throw a GeneratorExit and catched by yours exception, then logging.error('GeneratorExit')
expression is executed.
"RunTimeError" is raised because the generator is yield next value n(9), it's state in python documentation https://docs.python.org/3.6/reference/expressions.html#generator-iterator-methods :
"Raises a GeneratorExit at the point where the generator function was paused. If the generator function then exits gracefully, is already closed, or raises GeneratorExit (by not catching the exception), close returns to its caller. If the generator yields a value, a RuntimeError is raised. If the generator raises any other exception, it is propagated to the caller. close() does nothing if the generator has already exited due to an exception or normal exit"
May be the code should like this :
#pygen.py
import sys
import logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s \
%(levelname)s - %(message)s', datefmt='[%Y/%m/%d %H:%M:%S]')
def genwrapper(func):
#makes gen wrapper
#which automatically send(None) to generator
def wrapper(n=None):
f = func(n)
f.send(None)
return f
return wrapper
@genwrapper
def countdown(n=None):
logging.debug('Counting Down')
while True:
try:
n = yield(n)
except GeneratorExit as e:
logging.error('GeneratorExit')
raise e
if __name__ == '__main__':
n = int(sys.argv[1])
c = countdown() #avoid function call in loop block (avoid new reference to c)
while n > 0:
a = c.send(n)
logging.debug('Value: %d', a)
n -= 1
then in yours terminal :
guest@xxxxpc:~$ python pygen.py 5
will result :
[2018/12/13 16:50:45] DEBUG - Counting Down
[2018/12/13 16:50:45] DEBUG - Value: 5
[2018/12/13 16:50:45] DEBUG - Value: 4
[2018/12/13 16:50:45] DEBUG - Value: 3
[2018/12/13 16:50:45] DEBUG - Value: 2
[2018/12/13 16:50:45] DEBUG - Value: 1
[2018/12/13 16:50:45] ERROR - GeneratorExit
Sorry for my bad english or my suggestion if not clear enough, thanks
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