Is it possible to create a iterator/generator which will decide on the next value based on some result on the previous iteration?
i.e.
y = None
for x in some_iterator(ll, y):
y = some_calculation_on(x)
I would like the logic of choosing the next x
to depend on the calculation result allowing different logic for different results, much like in a search problem.
I also want to keep the how to choose the next x
and the calculation on x
as separate as possible.
Did you that you can send to a generator using generator.send
? So yes, you can have a generator to change its behaviour based on feedback from the outside world. From the doc:
generator
.send(value)
Resumes the execution and “sends” a value into the generator function.
The value argument becomes the result of the current yield expression.
The send()
method returns the next value yielded by the generator
[...]
Example
Here is a counter that will increment only if told to do so.
def conditionalCounter(start=0):
while True:
should_increment = yield start
if should_increment:
start += 1
Usage
Since iteration with a for-loop does not allow to use generator.send
, you have to use a while-loop.
import random
def some_calculation_on(value):
return random.choice([True, False])
g = conditionalCounter()
last_value = next(g)
while last_value < 5:
last_value = g.send(some_calculation_on(last_value))
print(last_value)
Output
0
0
1
2
3
3
4
4
5
Make it work in a for-loop
You can make the above work in a for-loop by crafting a YieldReceive
class.
class YieldReceive:
stop_iteration = object()
def __init__(self, gen):
self.gen = gen
self.next = next(gen, self.stop_iteration)
def __iter__(self):
return self
def __next__(self):
if self.next is self.stop_iteration:
raise StopIteration
else:
return self.next
def send(self, value):
try:
self.next = self.gen.send(value)
except StopIteration:
self.next = self.stop_iteration
Usage
it = YieldReceive(...)
for x in it:
# Do stuff
it.send(some_result)
It's possible but confusing. If you want to keep the sequence of x
values and the calculations on x
separate, you should do this explicitly by not involving x
with an iterator.
def next_value(x):
"""Custom iterator"""
# Bunch of code defining a new x
yield new_x
x = None
while True:
x = next_value(x)
x = some_calculation_on(x)
# Break when you're done
if finished and done:
break
If you want the loop to execute exactly i
times, then use a for
loop:
for step in range(i):
x = next_value(x)
x = some_calculation_on(x)
# No break
def conditional_iterator(y):
# stuff to create new values
yield x if (expression involving y) else another_x
for x in conditional_iterator(y):
y = some_computation(x)