import itertools
def _yield_sample():
it = iter(itertools.combinations('ABCD', 2))
it2 = iter(itertools.combinations('EFGH', 3))
itc = itertools.chain(it,it2)
for x in itc:
yield x
def main():
for x in _yield_sample():
print x
This works to print the combinations.
>>>
('A', 'B')
('A', 'C')
('A', 'D')
...
But this:
def __position_combination(_count = [2,3,4,5]):
its = []
for ct in _count:
it = iter(itertools.combinations('ABCDEFG', ct))
its.append(it)
itc = itertools.chain(its)
for x in itc:
yield x
def main():
for x in __position_combination():
print x
will not, it will print out
>>>
<itertools.combinations object at 0x02179210>
<itertools.combinations object at 0x02179240>
<itertools.combinations object at 0x02179270>
I have to rewrite code to make it works as demanded.
itc = itertools.chain(*its)
Here is my question:
itertools.chain(iter, iter, iter) vs itertools.chain(*[iter,iter,iter])
What is the different between them? According to documentation
the itertools.chain
does:
def chain(*iterables):
# chain('ABC', 'DEF') --> A B C D E F
for it in iterables:
for element in it:
yield element
So, why does itertools.chain(iter, iter, iter)
also works here?
Does it means iter, iter, iter = *(iter, iter, iter)
?
Yes.
But itertools.chain.from_iterable()
.
is it means iter, iter, iter = *(iter, iter, iter) ?
Not by itself. Argument unpacking only works when calling a function, so the following two calls are equivalent:
f(1,2,3)
f(*[1,2,3])
But *[1,2,3]
won't compile unless it's a part of a call. You can mix normal (positional) arguments with unpacked ones:
f(1,*[2,3])
so the above is also equivalent to the previous two calls.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With