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Simulate round-robin tournament draw


Fast draw wxPython OnPaintRuby program to simulate a game of Narcotic SolitaireSimulate object.__getattribute__ in PythonPython list dictionary items round robin mixingDraw a directory treeUEFA Champions League Draw SimulatorCoding exercise to simulate animal populationTournament Management modelAxelrod TournamentIteratively simulate a parasite population






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








7












$begingroup$


I decided to implement the round robin algorithm in Python. My code takes a list of teams as input and prints the schedule.



This is my first try to write something by my own after taking some online courses, so I am absolutely sure that this code must be significantly improved.



Here it is:



import random

def simulate_draw(teams):
if len(teams) % 2 == 0:
simulate_even_draw(teams)
else:
simulate_odd_draw(teams)

def simulate_even_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]

games = []
arr1 = [i+1 for i in range(int(len(teams)/2))]
arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []

for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])

def simulate_odd_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]
dic[i+1] = ''
games = []
arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []
for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
if len(teams)+1 not in r:
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])


I think that big blocks of code that largely repeat themselves inside 2 functions may be united in one function, but not sure how to implement it.










share|improve this question









New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
    $endgroup$
    – C. Harley
    Apr 23 at 15:18










  • $begingroup$
    @C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
    $endgroup$
    – Mathias Ettinger
    Apr 23 at 16:40











  • $begingroup$
    @Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
    $endgroup$
    – C. Harley
    Apr 24 at 5:41










  • $begingroup$
    @C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
    $endgroup$
    – Mathias Ettinger
    Apr 24 at 6:02

















7












$begingroup$


I decided to implement the round robin algorithm in Python. My code takes a list of teams as input and prints the schedule.



This is my first try to write something by my own after taking some online courses, so I am absolutely sure that this code must be significantly improved.



Here it is:



import random

def simulate_draw(teams):
if len(teams) % 2 == 0:
simulate_even_draw(teams)
else:
simulate_odd_draw(teams)

def simulate_even_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]

games = []
arr1 = [i+1 for i in range(int(len(teams)/2))]
arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []

for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])

def simulate_odd_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]
dic[i+1] = ''
games = []
arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []
for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
if len(teams)+1 not in r:
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])


I think that big blocks of code that largely repeat themselves inside 2 functions may be united in one function, but not sure how to implement it.










share|improve this question









New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
    $endgroup$
    – C. Harley
    Apr 23 at 15:18










  • $begingroup$
    @C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
    $endgroup$
    – Mathias Ettinger
    Apr 23 at 16:40











  • $begingroup$
    @Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
    $endgroup$
    – C. Harley
    Apr 24 at 5:41










  • $begingroup$
    @C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
    $endgroup$
    – Mathias Ettinger
    Apr 24 at 6:02













7












7








7


1



$begingroup$


I decided to implement the round robin algorithm in Python. My code takes a list of teams as input and prints the schedule.



This is my first try to write something by my own after taking some online courses, so I am absolutely sure that this code must be significantly improved.



Here it is:



import random

def simulate_draw(teams):
if len(teams) % 2 == 0:
simulate_even_draw(teams)
else:
simulate_odd_draw(teams)

def simulate_even_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]

games = []
arr1 = [i+1 for i in range(int(len(teams)/2))]
arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []

for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])

def simulate_odd_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]
dic[i+1] = ''
games = []
arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []
for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
if len(teams)+1 not in r:
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])


I think that big blocks of code that largely repeat themselves inside 2 functions may be united in one function, but not sure how to implement it.










share|improve this question









New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I decided to implement the round robin algorithm in Python. My code takes a list of teams as input and prints the schedule.



This is my first try to write something by my own after taking some online courses, so I am absolutely sure that this code must be significantly improved.



Here it is:



import random

def simulate_draw(teams):
if len(teams) % 2 == 0:
simulate_even_draw(teams)
else:
simulate_odd_draw(teams)

def simulate_even_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]

games = []
arr1 = [i+1 for i in range(int(len(teams)/2))]
arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []

for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])

def simulate_odd_draw(teams):
dic =
for i in range(len(teams)):
dic[i] = teams[i]
dic[i+1] = ''
games = []
arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []
for game in games:
for gm in list(game):
r = random.sample(gm, len(gm))
if len(teams)+1 not in r:
print(dic[r[0]-1] + ' plays ' + dic[r[1]-1])


I think that big blocks of code that largely repeat themselves inside 2 functions may be united in one function, but not sure how to implement it.







python simulation






share|improve this question









New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question








edited Apr 23 at 15:23







Eldar













New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked Apr 23 at 15:13









EldarEldar

384




384




New contributor




Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Eldar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











  • $begingroup$
    I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
    $endgroup$
    – C. Harley
    Apr 23 at 15:18










  • $begingroup$
    @C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
    $endgroup$
    – Mathias Ettinger
    Apr 23 at 16:40











  • $begingroup$
    @Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
    $endgroup$
    – C. Harley
    Apr 24 at 5:41










  • $begingroup$
    @C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
    $endgroup$
    – Mathias Ettinger
    Apr 24 at 6:02
















  • $begingroup$
    I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
    $endgroup$
    – C. Harley
    Apr 23 at 15:18










  • $begingroup$
    @C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
    $endgroup$
    – Mathias Ettinger
    Apr 23 at 16:40











  • $begingroup$
    @Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
    $endgroup$
    – C. Harley
    Apr 24 at 5:41










  • $begingroup$
    @C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
    $endgroup$
    – Mathias Ettinger
    Apr 24 at 6:02















$begingroup$
I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
$endgroup$
– C. Harley
Apr 23 at 15:18




$begingroup$
I think your code is missing an entry point (if __name__ == "__main__":) because it shouldn't run in it's current format. Can you fix? Verify by copying then pasting into a new file and running that.
$endgroup$
– C. Harley
Apr 23 at 15:18












$begingroup$
@C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
$endgroup$
– Mathias Ettinger
Apr 23 at 16:40





$begingroup$
@C.Harley This seems to be a lib, as such, I don't see the necessity for an entry point. You can call simulate_draw with a list of names of your liking if you want to test it.
$endgroup$
– Mathias Ettinger
Apr 23 at 16:40













$begingroup$
@Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
$endgroup$
– C. Harley
Apr 24 at 5:41




$begingroup$
@Mathias Ettinger - aren't we here to help improve fellow developers? Without any tests or data nor a clear entry point even if it was library, this wouldn't fly within my team.
$endgroup$
– C. Harley
Apr 24 at 5:41












$begingroup$
@C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
$endgroup$
– Mathias Ettinger
Apr 24 at 6:02




$begingroup$
@C.Harley Well then write an answer pointing to the lack of tests, no need to require an entry point for the question when it's not required.
$endgroup$
– Mathias Ettinger
Apr 24 at 6:02










1 Answer
1






active

oldest

votes


















9












$begingroup$

Making the code testable and tested



The first step to improve your code is to try to make it testable. By doing so, you usually have to deal with Separation of Concerns: in your case, you have to split the logic doing the output from the logic computing games. The easiest way to do so it to rewrite slightly the simulate_XXX functions to return values instead of writing them.



Once it it done, you can easily write tests for the function computing the games (in order to make this easier to implement, I've extracted out the randomising part as well).



At this stage, we have something like:



import random

def simulate_draw(teams):
"""Return the list of games."""
if len(teams) % 2 == 0:
return simulate_even_draw(teams)
else:
return simulate_odd_draw(teams)

def simulate_even_draw(teams):
"""Return the list of games."""
matches = []
dic =
for i in range(len(teams)):
dic[i] = teams[i]

games = []
arr1 = [i+1 for i in range(int(len(teams)/2))]
arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []

for game in games:
for gm in list(game):
r = gm # remove randomness for now - random.sample(gm, len(gm))
a, b = dic[r[0]-1], dic[r[1]-1]
matches.append((a, b))
# print(a + ' plays ' + b)
return matches

def simulate_odd_draw(teams):
"""Return the list of games."""
matches = []
dic =
for i in range(len(teams)):
dic[i] = teams[i]
dic[i+1] = ''
games = []
arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
zipped = list(zip(arr1, arr2))
games.append(zipped)
zipped = []
for game in games:
for gm in list(game):
r = gm # remove randomness for now - random.sample(gm, len(gm))
if len(teams)+1 not in r:
a, b = dic[r[0]-1], dic[r[1]-1]
matches.append((a, b))
# print(a + ' plays ' + b)
return matches


def displays_simulated_draws(teams):
"""Print the list of games."""
for gm in simulate_draw(teams):
a, b = random.sample(gm, len(gm))
print(a + ' plays ' + b)


def test_simulate_draw():
"""Small tests for simulate_draw."""
# TODO: Use a proper testing framework
TESTS = [
([], []),
(['A'], []),
(['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
(['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
]
for teams, expected_out in TESTS:
# print(teams)
ret = simulate_draw(teams)
assert ret == expected_out

if __name__ == '__main__':
test_simulate_draw()
displays_simulated_draws(['A', 'B', 'C', 'D'])


Now we can start improving the code in a safer way.



Remove what's not required



dic[i+1] = '' is not required, we can remove it.



Also, resetting zipped to the empty string is not required, we can remove it. Maybe we could get rid of zipped altogether.



Finally, we call for gm in list(game) when game is already a list. We can remove the call to list.



Loop like a native



I highly recommend Ned Batchelder's talk "Loop like a native" about iterators. One of the most simple take away is that whenever you're doing range(len(iterable)), you can probably do things in a better way: more concise, clearer and more efficient.



In your case, we could have:



for i in range(len(teams)):
dic[i] = teams[i]


replaced by



for i, team in enumerate(teams):
dic[i] = team


And we could do:



for _ in teams:


instead of



for i in range(len(teams))


(Unfortunately, this can hardly be adapted to the "even" situation)



Note: "_" is a usual variable names for values one does not plan to use.



Dict comprehension



The dictionnary initiation you perform via dict[index] = value in a loop could be done using the Dictionnary Comprehension syntactic sugar.



Instead of:



dic = 
for i, team in enumerate(teams):
dic[i] = team


we you can write:



dic = i: team for i, team in enumerate(teams)


Now it is much more obvious, it also corresponds to:



dic = dict(enumerate(teams))


Finally, we can ask ourselves how we use this dictionnary: the answer is "to get the team at a given index". Do we really need a dictionnay for this ? I do not think so. We can get rid of the dic variable and use teams directly.



At this stage, we have:



import random

def simulate_draw(teams):
"""Return the list of games."""
if len(teams) % 2 == 0:
return simulate_even_draw(teams)
else:
return simulate_odd_draw(teams)

def simulate_even_draw(teams):
"""Return the list of games."""
matches = []
games = []
half_len = int(len(teams)/2)
arr1 = [i+1 for i in range(half_len)]
arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
for i in range(len(teams)-1):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
games.append(list(zip(arr1, arr2)))
for game in games:
for gm in game:
r = gm # remove randomness for now - random.sample(gm, len(gm))
a, b = teams[r[0]-1], teams[r[1]-1]
matches.append((a, b))
# print(a + ' plays ' + b)
return matches

def simulate_odd_draw(teams):
"""Return the list of games."""
matches = []
games = []
half_len = int((len(teams)+1)/2)
arr1 = [i+1 for i in range(half_len)]
arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2[0])
arr2.append(arr1[-1])
arr2.remove(arr2[0])
arr1.remove(arr1[-1])
games.append(list(zip(arr1, arr2)))
for game in games:
for gm in game:
r = gm # remove randomness for now - random.sample(gm, len(gm))
if len(teams)+1 not in r:
a, b = teams[r[0]-1], teams[r[1]-1]
matches.append((a, b))
# print(a + ' plays ' + b)
return matches


def displays_simulated_draws(teams):
"""Print the list of games."""
for gm in simulate_draw(teams):
a, b = random.sample(gm, len(gm))
print(a + ' plays ' + b)


def test_simulate_draw():
"""Small tests for simulate_draw."""
# TODO: Use a proper testing framework
TESTS = [
([], []),
(['A'], []),
(['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
(['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
]
for teams, expected_out in TESTS:
# print(teams)
ret = simulate_draw(teams)
assert ret == expected_out

if __name__ == '__main__':
test_simulate_draw()
displays_simulated_draws(['A', 'B', 'C', 'D'])


The right tool for the task



The part:



 arr2.remove(arr2[0])
arr1.remove(arr1[-1])


could/should probably be written with pop:



 arr2.pop(0)
arr1.pop()


And now, these line can be merged with arrXX.append(arrYYY[ZZ]):



for i in range(len(teams)-1):
arr1.insert(1, arr2.pop(0))
arr2.append(arr1.pop())
games.append(list(zip(arr1, arr2)))


Removing useless steps



A loop is used to fill an array. Another one is used to iterate over the array. We could try to use a single loop to do everything (disclaimer: this is not always a good idea as far as readability goes).



This removes the need for a few calls to list.



At this stage, we have:



def simulate_even_draw(teams):
"""Return the list of games."""
matches = []
half_len = int(len(teams)/2)
arr1 = [i+1 for i in range(half_len)]
arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
for i in range(len(teams)-1):
arr1.insert(1, arr2.pop(0))
arr2.append(arr1.pop())
for gm in zip(arr1, arr2):
matches.append((teams[gm[0]-1], teams[gm[1]-1]))
return matches

def simulate_odd_draw(teams):
"""Return the list of games."""
matches = []
half_len = int((len(teams)+1)/2)
arr1 = [i+1 for i in range(half_len)]
arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
for i in range(len(teams)):
arr1.insert(1, arr2.pop(0))
arr2.append(arr1.pop())
for gm in zip(arr1, arr2):
if len(teams)+1 not in gm:
matches.append((teams[gm[0]-1], teams[gm[1]-1]))
return matches


Better indices



You generate a list of indices using i+1 and then use val - 1 when you use them. You can make your life easier twice.



Iterable unpacking



Instead of using indices to get elements from an iterable with a know number of elements, you can use iterable unpacking.



You'd get



def simulate_even_draw(teams):
"""Return the list of games."""
half_len = int(len(teams)/2)
arr1 = [i for i in range(half_len)]
arr2 = [i for i in range(half_len, len(teams))][::-1]
matches = []
for i in range(len(teams)-1):
arr1.insert(1, arr2.pop(0))
arr2.append(arr1.pop())
for a, b in zip(arr1, arr2):
matches.append((teams[a], teams[b]))
return matches

def simulate_odd_draw(teams):
"""Return the list of games."""
half_len = int((len(teams)+1)/2)
arr1 = [i for i in range(half_len)]
arr2 = [i for i in range(half_len, len(teams)+1)][::-1]
matches = []
for i in range(len(teams)):
arr1.insert(1, arr2.pop(0))
arr2.append(arr1.pop())
for a, b in zip(arr1, arr2):
if len(teams) not in (a, b):
matches.append((teams[a], teams[b]))
return matches


True divisions



Instead of using "/" and convert the float result to int, you can use "//" which is an integer division.



Other way to compute indices



We could write something like:



indices = list(range(len(teams)))
half_len = len(indices)//2
arr1 = indices[:half_len]
arr2 = indices[:half_len-1:-1]


and



indices = list(range(len(teams)+1))
half_len = len(indices)//2
arr1 = indices[:half_len]
arr2 = indices[:half_len-1:-1]


Altough, if we don't care about order, we could use the more direct:



arr1 = indices[:half_len]
arr2 = indices[half_len:]


Remove the duplicated logic



Don't repeat yourself is a principle of software development that you could easily apply here. Indeed, we have 2 functions that look very similar.



This is trickier than expected and I have to go. I may continue another day.



Batteries included



The Python standard library contains many useful things. Among them, we have the very interesting module itertools which itself contains combinations which is what you want.






share|improve this answer











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    9












    $begingroup$

    Making the code testable and tested



    The first step to improve your code is to try to make it testable. By doing so, you usually have to deal with Separation of Concerns: in your case, you have to split the logic doing the output from the logic computing games. The easiest way to do so it to rewrite slightly the simulate_XXX functions to return values instead of writing them.



    Once it it done, you can easily write tests for the function computing the games (in order to make this easier to implement, I've extracted out the randomising part as well).



    At this stage, we have something like:



    import random

    def simulate_draw(teams):
    """Return the list of games."""
    if len(teams) % 2 == 0:
    return simulate_even_draw(teams)
    else:
    return simulate_odd_draw(teams)

    def simulate_even_draw(teams):
    """Return the list of games."""
    matches = []
    dic =
    for i in range(len(teams)):
    dic[i] = teams[i]

    games = []
    arr1 = [i+1 for i in range(int(len(teams)/2))]
    arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

    for i in range(len(teams)-1):
    arr1.insert(1, arr2[0])
    arr2.append(arr1[-1])
    arr2.remove(arr2[0])
    arr1.remove(arr1[-1])
    zipped = list(zip(arr1, arr2))
    games.append(zipped)
    zipped = []

    for game in games:
    for gm in list(game):
    r = gm # remove randomness for now - random.sample(gm, len(gm))
    a, b = dic[r[0]-1], dic[r[1]-1]
    matches.append((a, b))
    # print(a + ' plays ' + b)
    return matches

    def simulate_odd_draw(teams):
    """Return the list of games."""
    matches = []
    dic =
    for i in range(len(teams)):
    dic[i] = teams[i]
    dic[i+1] = ''
    games = []
    arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
    arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
    for i in range(len(teams)):
    arr1.insert(1, arr2[0])
    arr2.append(arr1[-1])
    arr2.remove(arr2[0])
    arr1.remove(arr1[-1])
    zipped = list(zip(arr1, arr2))
    games.append(zipped)
    zipped = []
    for game in games:
    for gm in list(game):
    r = gm # remove randomness for now - random.sample(gm, len(gm))
    if len(teams)+1 not in r:
    a, b = dic[r[0]-1], dic[r[1]-1]
    matches.append((a, b))
    # print(a + ' plays ' + b)
    return matches


    def displays_simulated_draws(teams):
    """Print the list of games."""
    for gm in simulate_draw(teams):
    a, b = random.sample(gm, len(gm))
    print(a + ' plays ' + b)


    def test_simulate_draw():
    """Small tests for simulate_draw."""
    # TODO: Use a proper testing framework
    TESTS = [
    ([], []),
    (['A'], []),
    (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
    (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
    ]
    for teams, expected_out in TESTS:
    # print(teams)
    ret = simulate_draw(teams)
    assert ret == expected_out

    if __name__ == '__main__':
    test_simulate_draw()
    displays_simulated_draws(['A', 'B', 'C', 'D'])


    Now we can start improving the code in a safer way.



    Remove what's not required



    dic[i+1] = '' is not required, we can remove it.



    Also, resetting zipped to the empty string is not required, we can remove it. Maybe we could get rid of zipped altogether.



    Finally, we call for gm in list(game) when game is already a list. We can remove the call to list.



    Loop like a native



    I highly recommend Ned Batchelder's talk "Loop like a native" about iterators. One of the most simple take away is that whenever you're doing range(len(iterable)), you can probably do things in a better way: more concise, clearer and more efficient.



    In your case, we could have:



    for i in range(len(teams)):
    dic[i] = teams[i]


    replaced by



    for i, team in enumerate(teams):
    dic[i] = team


    And we could do:



    for _ in teams:


    instead of



    for i in range(len(teams))


    (Unfortunately, this can hardly be adapted to the "even" situation)



    Note: "_" is a usual variable names for values one does not plan to use.



    Dict comprehension



    The dictionnary initiation you perform via dict[index] = value in a loop could be done using the Dictionnary Comprehension syntactic sugar.



    Instead of:



    dic = 
    for i, team in enumerate(teams):
    dic[i] = team


    we you can write:



    dic = i: team for i, team in enumerate(teams)


    Now it is much more obvious, it also corresponds to:



    dic = dict(enumerate(teams))


    Finally, we can ask ourselves how we use this dictionnary: the answer is "to get the team at a given index". Do we really need a dictionnay for this ? I do not think so. We can get rid of the dic variable and use teams directly.



    At this stage, we have:



    import random

    def simulate_draw(teams):
    """Return the list of games."""
    if len(teams) % 2 == 0:
    return simulate_even_draw(teams)
    else:
    return simulate_odd_draw(teams)

    def simulate_even_draw(teams):
    """Return the list of games."""
    matches = []
    games = []
    half_len = int(len(teams)/2)
    arr1 = [i+1 for i in range(half_len)]
    arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
    for i in range(len(teams)-1):
    arr1.insert(1, arr2[0])
    arr2.append(arr1[-1])
    arr2.remove(arr2[0])
    arr1.remove(arr1[-1])
    games.append(list(zip(arr1, arr2)))
    for game in games:
    for gm in game:
    r = gm # remove randomness for now - random.sample(gm, len(gm))
    a, b = teams[r[0]-1], teams[r[1]-1]
    matches.append((a, b))
    # print(a + ' plays ' + b)
    return matches

    def simulate_odd_draw(teams):
    """Return the list of games."""
    matches = []
    games = []
    half_len = int((len(teams)+1)/2)
    arr1 = [i+1 for i in range(half_len)]
    arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
    for i in range(len(teams)):
    arr1.insert(1, arr2[0])
    arr2.append(arr1[-1])
    arr2.remove(arr2[0])
    arr1.remove(arr1[-1])
    games.append(list(zip(arr1, arr2)))
    for game in games:
    for gm in game:
    r = gm # remove randomness for now - random.sample(gm, len(gm))
    if len(teams)+1 not in r:
    a, b = teams[r[0]-1], teams[r[1]-1]
    matches.append((a, b))
    # print(a + ' plays ' + b)
    return matches


    def displays_simulated_draws(teams):
    """Print the list of games."""
    for gm in simulate_draw(teams):
    a, b = random.sample(gm, len(gm))
    print(a + ' plays ' + b)


    def test_simulate_draw():
    """Small tests for simulate_draw."""
    # TODO: Use a proper testing framework
    TESTS = [
    ([], []),
    (['A'], []),
    (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
    (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
    ]
    for teams, expected_out in TESTS:
    # print(teams)
    ret = simulate_draw(teams)
    assert ret == expected_out

    if __name__ == '__main__':
    test_simulate_draw()
    displays_simulated_draws(['A', 'B', 'C', 'D'])


    The right tool for the task



    The part:



     arr2.remove(arr2[0])
    arr1.remove(arr1[-1])


    could/should probably be written with pop:



     arr2.pop(0)
    arr1.pop()


    And now, these line can be merged with arrXX.append(arrYYY[ZZ]):



    for i in range(len(teams)-1):
    arr1.insert(1, arr2.pop(0))
    arr2.append(arr1.pop())
    games.append(list(zip(arr1, arr2)))


    Removing useless steps



    A loop is used to fill an array. Another one is used to iterate over the array. We could try to use a single loop to do everything (disclaimer: this is not always a good idea as far as readability goes).



    This removes the need for a few calls to list.



    At this stage, we have:



    def simulate_even_draw(teams):
    """Return the list of games."""
    matches = []
    half_len = int(len(teams)/2)
    arr1 = [i+1 for i in range(half_len)]
    arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
    for i in range(len(teams)-1):
    arr1.insert(1, arr2.pop(0))
    arr2.append(arr1.pop())
    for gm in zip(arr1, arr2):
    matches.append((teams[gm[0]-1], teams[gm[1]-1]))
    return matches

    def simulate_odd_draw(teams):
    """Return the list of games."""
    matches = []
    half_len = int((len(teams)+1)/2)
    arr1 = [i+1 for i in range(half_len)]
    arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
    for i in range(len(teams)):
    arr1.insert(1, arr2.pop(0))
    arr2.append(arr1.pop())
    for gm in zip(arr1, arr2):
    if len(teams)+1 not in gm:
    matches.append((teams[gm[0]-1], teams[gm[1]-1]))
    return matches


    Better indices



    You generate a list of indices using i+1 and then use val - 1 when you use them. You can make your life easier twice.



    Iterable unpacking



    Instead of using indices to get elements from an iterable with a know number of elements, you can use iterable unpacking.



    You'd get



    def simulate_even_draw(teams):
    """Return the list of games."""
    half_len = int(len(teams)/2)
    arr1 = [i for i in range(half_len)]
    arr2 = [i for i in range(half_len, len(teams))][::-1]
    matches = []
    for i in range(len(teams)-1):
    arr1.insert(1, arr2.pop(0))
    arr2.append(arr1.pop())
    for a, b in zip(arr1, arr2):
    matches.append((teams[a], teams[b]))
    return matches

    def simulate_odd_draw(teams):
    """Return the list of games."""
    half_len = int((len(teams)+1)/2)
    arr1 = [i for i in range(half_len)]
    arr2 = [i for i in range(half_len, len(teams)+1)][::-1]
    matches = []
    for i in range(len(teams)):
    arr1.insert(1, arr2.pop(0))
    arr2.append(arr1.pop())
    for a, b in zip(arr1, arr2):
    if len(teams) not in (a, b):
    matches.append((teams[a], teams[b]))
    return matches


    True divisions



    Instead of using "/" and convert the float result to int, you can use "//" which is an integer division.



    Other way to compute indices



    We could write something like:



    indices = list(range(len(teams)))
    half_len = len(indices)//2
    arr1 = indices[:half_len]
    arr2 = indices[:half_len-1:-1]


    and



    indices = list(range(len(teams)+1))
    half_len = len(indices)//2
    arr1 = indices[:half_len]
    arr2 = indices[:half_len-1:-1]


    Altough, if we don't care about order, we could use the more direct:



    arr1 = indices[:half_len]
    arr2 = indices[half_len:]


    Remove the duplicated logic



    Don't repeat yourself is a principle of software development that you could easily apply here. Indeed, we have 2 functions that look very similar.



    This is trickier than expected and I have to go. I may continue another day.



    Batteries included



    The Python standard library contains many useful things. Among them, we have the very interesting module itertools which itself contains combinations which is what you want.






    share|improve this answer











    $endgroup$

















      9












      $begingroup$

      Making the code testable and tested



      The first step to improve your code is to try to make it testable. By doing so, you usually have to deal with Separation of Concerns: in your case, you have to split the logic doing the output from the logic computing games. The easiest way to do so it to rewrite slightly the simulate_XXX functions to return values instead of writing them.



      Once it it done, you can easily write tests for the function computing the games (in order to make this easier to implement, I've extracted out the randomising part as well).



      At this stage, we have something like:



      import random

      def simulate_draw(teams):
      """Return the list of games."""
      if len(teams) % 2 == 0:
      return simulate_even_draw(teams)
      else:
      return simulate_odd_draw(teams)

      def simulate_even_draw(teams):
      """Return the list of games."""
      matches = []
      dic =
      for i in range(len(teams)):
      dic[i] = teams[i]

      games = []
      arr1 = [i+1 for i in range(int(len(teams)/2))]
      arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

      for i in range(len(teams)-1):
      arr1.insert(1, arr2[0])
      arr2.append(arr1[-1])
      arr2.remove(arr2[0])
      arr1.remove(arr1[-1])
      zipped = list(zip(arr1, arr2))
      games.append(zipped)
      zipped = []

      for game in games:
      for gm in list(game):
      r = gm # remove randomness for now - random.sample(gm, len(gm))
      a, b = dic[r[0]-1], dic[r[1]-1]
      matches.append((a, b))
      # print(a + ' plays ' + b)
      return matches

      def simulate_odd_draw(teams):
      """Return the list of games."""
      matches = []
      dic =
      for i in range(len(teams)):
      dic[i] = teams[i]
      dic[i+1] = ''
      games = []
      arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
      arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
      for i in range(len(teams)):
      arr1.insert(1, arr2[0])
      arr2.append(arr1[-1])
      arr2.remove(arr2[0])
      arr1.remove(arr1[-1])
      zipped = list(zip(arr1, arr2))
      games.append(zipped)
      zipped = []
      for game in games:
      for gm in list(game):
      r = gm # remove randomness for now - random.sample(gm, len(gm))
      if len(teams)+1 not in r:
      a, b = dic[r[0]-1], dic[r[1]-1]
      matches.append((a, b))
      # print(a + ' plays ' + b)
      return matches


      def displays_simulated_draws(teams):
      """Print the list of games."""
      for gm in simulate_draw(teams):
      a, b = random.sample(gm, len(gm))
      print(a + ' plays ' + b)


      def test_simulate_draw():
      """Small tests for simulate_draw."""
      # TODO: Use a proper testing framework
      TESTS = [
      ([], []),
      (['A'], []),
      (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
      (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
      ]
      for teams, expected_out in TESTS:
      # print(teams)
      ret = simulate_draw(teams)
      assert ret == expected_out

      if __name__ == '__main__':
      test_simulate_draw()
      displays_simulated_draws(['A', 'B', 'C', 'D'])


      Now we can start improving the code in a safer way.



      Remove what's not required



      dic[i+1] = '' is not required, we can remove it.



      Also, resetting zipped to the empty string is not required, we can remove it. Maybe we could get rid of zipped altogether.



      Finally, we call for gm in list(game) when game is already a list. We can remove the call to list.



      Loop like a native



      I highly recommend Ned Batchelder's talk "Loop like a native" about iterators. One of the most simple take away is that whenever you're doing range(len(iterable)), you can probably do things in a better way: more concise, clearer and more efficient.



      In your case, we could have:



      for i in range(len(teams)):
      dic[i] = teams[i]


      replaced by



      for i, team in enumerate(teams):
      dic[i] = team


      And we could do:



      for _ in teams:


      instead of



      for i in range(len(teams))


      (Unfortunately, this can hardly be adapted to the "even" situation)



      Note: "_" is a usual variable names for values one does not plan to use.



      Dict comprehension



      The dictionnary initiation you perform via dict[index] = value in a loop could be done using the Dictionnary Comprehension syntactic sugar.



      Instead of:



      dic = 
      for i, team in enumerate(teams):
      dic[i] = team


      we you can write:



      dic = i: team for i, team in enumerate(teams)


      Now it is much more obvious, it also corresponds to:



      dic = dict(enumerate(teams))


      Finally, we can ask ourselves how we use this dictionnary: the answer is "to get the team at a given index". Do we really need a dictionnay for this ? I do not think so. We can get rid of the dic variable and use teams directly.



      At this stage, we have:



      import random

      def simulate_draw(teams):
      """Return the list of games."""
      if len(teams) % 2 == 0:
      return simulate_even_draw(teams)
      else:
      return simulate_odd_draw(teams)

      def simulate_even_draw(teams):
      """Return the list of games."""
      matches = []
      games = []
      half_len = int(len(teams)/2)
      arr1 = [i+1 for i in range(half_len)]
      arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
      for i in range(len(teams)-1):
      arr1.insert(1, arr2[0])
      arr2.append(arr1[-1])
      arr2.remove(arr2[0])
      arr1.remove(arr1[-1])
      games.append(list(zip(arr1, arr2)))
      for game in games:
      for gm in game:
      r = gm # remove randomness for now - random.sample(gm, len(gm))
      a, b = teams[r[0]-1], teams[r[1]-1]
      matches.append((a, b))
      # print(a + ' plays ' + b)
      return matches

      def simulate_odd_draw(teams):
      """Return the list of games."""
      matches = []
      games = []
      half_len = int((len(teams)+1)/2)
      arr1 = [i+1 for i in range(half_len)]
      arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
      for i in range(len(teams)):
      arr1.insert(1, arr2[0])
      arr2.append(arr1[-1])
      arr2.remove(arr2[0])
      arr1.remove(arr1[-1])
      games.append(list(zip(arr1, arr2)))
      for game in games:
      for gm in game:
      r = gm # remove randomness for now - random.sample(gm, len(gm))
      if len(teams)+1 not in r:
      a, b = teams[r[0]-1], teams[r[1]-1]
      matches.append((a, b))
      # print(a + ' plays ' + b)
      return matches


      def displays_simulated_draws(teams):
      """Print the list of games."""
      for gm in simulate_draw(teams):
      a, b = random.sample(gm, len(gm))
      print(a + ' plays ' + b)


      def test_simulate_draw():
      """Small tests for simulate_draw."""
      # TODO: Use a proper testing framework
      TESTS = [
      ([], []),
      (['A'], []),
      (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
      (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
      ]
      for teams, expected_out in TESTS:
      # print(teams)
      ret = simulate_draw(teams)
      assert ret == expected_out

      if __name__ == '__main__':
      test_simulate_draw()
      displays_simulated_draws(['A', 'B', 'C', 'D'])


      The right tool for the task



      The part:



       arr2.remove(arr2[0])
      arr1.remove(arr1[-1])


      could/should probably be written with pop:



       arr2.pop(0)
      arr1.pop()


      And now, these line can be merged with arrXX.append(arrYYY[ZZ]):



      for i in range(len(teams)-1):
      arr1.insert(1, arr2.pop(0))
      arr2.append(arr1.pop())
      games.append(list(zip(arr1, arr2)))


      Removing useless steps



      A loop is used to fill an array. Another one is used to iterate over the array. We could try to use a single loop to do everything (disclaimer: this is not always a good idea as far as readability goes).



      This removes the need for a few calls to list.



      At this stage, we have:



      def simulate_even_draw(teams):
      """Return the list of games."""
      matches = []
      half_len = int(len(teams)/2)
      arr1 = [i+1 for i in range(half_len)]
      arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
      for i in range(len(teams)-1):
      arr1.insert(1, arr2.pop(0))
      arr2.append(arr1.pop())
      for gm in zip(arr1, arr2):
      matches.append((teams[gm[0]-1], teams[gm[1]-1]))
      return matches

      def simulate_odd_draw(teams):
      """Return the list of games."""
      matches = []
      half_len = int((len(teams)+1)/2)
      arr1 = [i+1 for i in range(half_len)]
      arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
      for i in range(len(teams)):
      arr1.insert(1, arr2.pop(0))
      arr2.append(arr1.pop())
      for gm in zip(arr1, arr2):
      if len(teams)+1 not in gm:
      matches.append((teams[gm[0]-1], teams[gm[1]-1]))
      return matches


      Better indices



      You generate a list of indices using i+1 and then use val - 1 when you use them. You can make your life easier twice.



      Iterable unpacking



      Instead of using indices to get elements from an iterable with a know number of elements, you can use iterable unpacking.



      You'd get



      def simulate_even_draw(teams):
      """Return the list of games."""
      half_len = int(len(teams)/2)
      arr1 = [i for i in range(half_len)]
      arr2 = [i for i in range(half_len, len(teams))][::-1]
      matches = []
      for i in range(len(teams)-1):
      arr1.insert(1, arr2.pop(0))
      arr2.append(arr1.pop())
      for a, b in zip(arr1, arr2):
      matches.append((teams[a], teams[b]))
      return matches

      def simulate_odd_draw(teams):
      """Return the list of games."""
      half_len = int((len(teams)+1)/2)
      arr1 = [i for i in range(half_len)]
      arr2 = [i for i in range(half_len, len(teams)+1)][::-1]
      matches = []
      for i in range(len(teams)):
      arr1.insert(1, arr2.pop(0))
      arr2.append(arr1.pop())
      for a, b in zip(arr1, arr2):
      if len(teams) not in (a, b):
      matches.append((teams[a], teams[b]))
      return matches


      True divisions



      Instead of using "/" and convert the float result to int, you can use "//" which is an integer division.



      Other way to compute indices



      We could write something like:



      indices = list(range(len(teams)))
      half_len = len(indices)//2
      arr1 = indices[:half_len]
      arr2 = indices[:half_len-1:-1]


      and



      indices = list(range(len(teams)+1))
      half_len = len(indices)//2
      arr1 = indices[:half_len]
      arr2 = indices[:half_len-1:-1]


      Altough, if we don't care about order, we could use the more direct:



      arr1 = indices[:half_len]
      arr2 = indices[half_len:]


      Remove the duplicated logic



      Don't repeat yourself is a principle of software development that you could easily apply here. Indeed, we have 2 functions that look very similar.



      This is trickier than expected and I have to go. I may continue another day.



      Batteries included



      The Python standard library contains many useful things. Among them, we have the very interesting module itertools which itself contains combinations which is what you want.






      share|improve this answer











      $endgroup$















        9












        9








        9





        $begingroup$

        Making the code testable and tested



        The first step to improve your code is to try to make it testable. By doing so, you usually have to deal with Separation of Concerns: in your case, you have to split the logic doing the output from the logic computing games. The easiest way to do so it to rewrite slightly the simulate_XXX functions to return values instead of writing them.



        Once it it done, you can easily write tests for the function computing the games (in order to make this easier to implement, I've extracted out the randomising part as well).



        At this stage, we have something like:



        import random

        def simulate_draw(teams):
        """Return the list of games."""
        if len(teams) % 2 == 0:
        return simulate_even_draw(teams)
        else:
        return simulate_odd_draw(teams)

        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        dic =
        for i in range(len(teams)):
        dic[i] = teams[i]

        games = []
        arr1 = [i+1 for i in range(int(len(teams)/2))]
        arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

        for i in range(len(teams)-1):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        zipped = list(zip(arr1, arr2))
        games.append(zipped)
        zipped = []

        for game in games:
        for gm in list(game):
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        a, b = dic[r[0]-1], dic[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        dic =
        for i in range(len(teams)):
        dic[i] = teams[i]
        dic[i+1] = ''
        games = []
        arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
        arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        zipped = list(zip(arr1, arr2))
        games.append(zipped)
        zipped = []
        for game in games:
        for gm in list(game):
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        if len(teams)+1 not in r:
        a, b = dic[r[0]-1], dic[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches


        def displays_simulated_draws(teams):
        """Print the list of games."""
        for gm in simulate_draw(teams):
        a, b = random.sample(gm, len(gm))
        print(a + ' plays ' + b)


        def test_simulate_draw():
        """Small tests for simulate_draw."""
        # TODO: Use a proper testing framework
        TESTS = [
        ([], []),
        (['A'], []),
        (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
        (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
        ]
        for teams, expected_out in TESTS:
        # print(teams)
        ret = simulate_draw(teams)
        assert ret == expected_out

        if __name__ == '__main__':
        test_simulate_draw()
        displays_simulated_draws(['A', 'B', 'C', 'D'])


        Now we can start improving the code in a safer way.



        Remove what's not required



        dic[i+1] = '' is not required, we can remove it.



        Also, resetting zipped to the empty string is not required, we can remove it. Maybe we could get rid of zipped altogether.



        Finally, we call for gm in list(game) when game is already a list. We can remove the call to list.



        Loop like a native



        I highly recommend Ned Batchelder's talk "Loop like a native" about iterators. One of the most simple take away is that whenever you're doing range(len(iterable)), you can probably do things in a better way: more concise, clearer and more efficient.



        In your case, we could have:



        for i in range(len(teams)):
        dic[i] = teams[i]


        replaced by



        for i, team in enumerate(teams):
        dic[i] = team


        And we could do:



        for _ in teams:


        instead of



        for i in range(len(teams))


        (Unfortunately, this can hardly be adapted to the "even" situation)



        Note: "_" is a usual variable names for values one does not plan to use.



        Dict comprehension



        The dictionnary initiation you perform via dict[index] = value in a loop could be done using the Dictionnary Comprehension syntactic sugar.



        Instead of:



        dic = 
        for i, team in enumerate(teams):
        dic[i] = team


        we you can write:



        dic = i: team for i, team in enumerate(teams)


        Now it is much more obvious, it also corresponds to:



        dic = dict(enumerate(teams))


        Finally, we can ask ourselves how we use this dictionnary: the answer is "to get the team at a given index". Do we really need a dictionnay for this ? I do not think so. We can get rid of the dic variable and use teams directly.



        At this stage, we have:



        import random

        def simulate_draw(teams):
        """Return the list of games."""
        if len(teams) % 2 == 0:
        return simulate_even_draw(teams)
        else:
        return simulate_odd_draw(teams)

        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        games = []
        half_len = int(len(teams)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
        for i in range(len(teams)-1):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        games.append(list(zip(arr1, arr2)))
        for game in games:
        for gm in game:
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        a, b = teams[r[0]-1], teams[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        games = []
        half_len = int((len(teams)+1)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        games.append(list(zip(arr1, arr2)))
        for game in games:
        for gm in game:
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        if len(teams)+1 not in r:
        a, b = teams[r[0]-1], teams[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches


        def displays_simulated_draws(teams):
        """Print the list of games."""
        for gm in simulate_draw(teams):
        a, b = random.sample(gm, len(gm))
        print(a + ' plays ' + b)


        def test_simulate_draw():
        """Small tests for simulate_draw."""
        # TODO: Use a proper testing framework
        TESTS = [
        ([], []),
        (['A'], []),
        (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
        (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
        ]
        for teams, expected_out in TESTS:
        # print(teams)
        ret = simulate_draw(teams)
        assert ret == expected_out

        if __name__ == '__main__':
        test_simulate_draw()
        displays_simulated_draws(['A', 'B', 'C', 'D'])


        The right tool for the task



        The part:



         arr2.remove(arr2[0])
        arr1.remove(arr1[-1])


        could/should probably be written with pop:



         arr2.pop(0)
        arr1.pop()


        And now, these line can be merged with arrXX.append(arrYYY[ZZ]):



        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        games.append(list(zip(arr1, arr2)))


        Removing useless steps



        A loop is used to fill an array. Another one is used to iterate over the array. We could try to use a single loop to do everything (disclaimer: this is not always a good idea as far as readability goes).



        This removes the need for a few calls to list.



        At this stage, we have:



        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        half_len = int(len(teams)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for gm in zip(arr1, arr2):
        matches.append((teams[gm[0]-1], teams[gm[1]-1]))
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        half_len = int((len(teams)+1)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for gm in zip(arr1, arr2):
        if len(teams)+1 not in gm:
        matches.append((teams[gm[0]-1], teams[gm[1]-1]))
        return matches


        Better indices



        You generate a list of indices using i+1 and then use val - 1 when you use them. You can make your life easier twice.



        Iterable unpacking



        Instead of using indices to get elements from an iterable with a know number of elements, you can use iterable unpacking.



        You'd get



        def simulate_even_draw(teams):
        """Return the list of games."""
        half_len = int(len(teams)/2)
        arr1 = [i for i in range(half_len)]
        arr2 = [i for i in range(half_len, len(teams))][::-1]
        matches = []
        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for a, b in zip(arr1, arr2):
        matches.append((teams[a], teams[b]))
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        half_len = int((len(teams)+1)/2)
        arr1 = [i for i in range(half_len)]
        arr2 = [i for i in range(half_len, len(teams)+1)][::-1]
        matches = []
        for i in range(len(teams)):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for a, b in zip(arr1, arr2):
        if len(teams) not in (a, b):
        matches.append((teams[a], teams[b]))
        return matches


        True divisions



        Instead of using "/" and convert the float result to int, you can use "//" which is an integer division.



        Other way to compute indices



        We could write something like:



        indices = list(range(len(teams)))
        half_len = len(indices)//2
        arr1 = indices[:half_len]
        arr2 = indices[:half_len-1:-1]


        and



        indices = list(range(len(teams)+1))
        half_len = len(indices)//2
        arr1 = indices[:half_len]
        arr2 = indices[:half_len-1:-1]


        Altough, if we don't care about order, we could use the more direct:



        arr1 = indices[:half_len]
        arr2 = indices[half_len:]


        Remove the duplicated logic



        Don't repeat yourself is a principle of software development that you could easily apply here. Indeed, we have 2 functions that look very similar.



        This is trickier than expected and I have to go. I may continue another day.



        Batteries included



        The Python standard library contains many useful things. Among them, we have the very interesting module itertools which itself contains combinations which is what you want.






        share|improve this answer











        $endgroup$



        Making the code testable and tested



        The first step to improve your code is to try to make it testable. By doing so, you usually have to deal with Separation of Concerns: in your case, you have to split the logic doing the output from the logic computing games. The easiest way to do so it to rewrite slightly the simulate_XXX functions to return values instead of writing them.



        Once it it done, you can easily write tests for the function computing the games (in order to make this easier to implement, I've extracted out the randomising part as well).



        At this stage, we have something like:



        import random

        def simulate_draw(teams):
        """Return the list of games."""
        if len(teams) % 2 == 0:
        return simulate_even_draw(teams)
        else:
        return simulate_odd_draw(teams)

        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        dic =
        for i in range(len(teams)):
        dic[i] = teams[i]

        games = []
        arr1 = [i+1 for i in range(int(len(teams)/2))]
        arr2 = [i+1 for i in range(int(len(teams)/2), len(teams))][::-1]

        for i in range(len(teams)-1):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        zipped = list(zip(arr1, arr2))
        games.append(zipped)
        zipped = []

        for game in games:
        for gm in list(game):
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        a, b = dic[r[0]-1], dic[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        dic =
        for i in range(len(teams)):
        dic[i] = teams[i]
        dic[i+1] = ''
        games = []
        arr1 = [i+1 for i in range(int((len(teams)+1)/2))]
        arr2 = [i+1 for i in range(int((len(teams)+1)/2), len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        zipped = list(zip(arr1, arr2))
        games.append(zipped)
        zipped = []
        for game in games:
        for gm in list(game):
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        if len(teams)+1 not in r:
        a, b = dic[r[0]-1], dic[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches


        def displays_simulated_draws(teams):
        """Print the list of games."""
        for gm in simulate_draw(teams):
        a, b = random.sample(gm, len(gm))
        print(a + ' plays ' + b)


        def test_simulate_draw():
        """Small tests for simulate_draw."""
        # TODO: Use a proper testing framework
        TESTS = [
        ([], []),
        (['A'], []),
        (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
        (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
        ]
        for teams, expected_out in TESTS:
        # print(teams)
        ret = simulate_draw(teams)
        assert ret == expected_out

        if __name__ == '__main__':
        test_simulate_draw()
        displays_simulated_draws(['A', 'B', 'C', 'D'])


        Now we can start improving the code in a safer way.



        Remove what's not required



        dic[i+1] = '' is not required, we can remove it.



        Also, resetting zipped to the empty string is not required, we can remove it. Maybe we could get rid of zipped altogether.



        Finally, we call for gm in list(game) when game is already a list. We can remove the call to list.



        Loop like a native



        I highly recommend Ned Batchelder's talk "Loop like a native" about iterators. One of the most simple take away is that whenever you're doing range(len(iterable)), you can probably do things in a better way: more concise, clearer and more efficient.



        In your case, we could have:



        for i in range(len(teams)):
        dic[i] = teams[i]


        replaced by



        for i, team in enumerate(teams):
        dic[i] = team


        And we could do:



        for _ in teams:


        instead of



        for i in range(len(teams))


        (Unfortunately, this can hardly be adapted to the "even" situation)



        Note: "_" is a usual variable names for values one does not plan to use.



        Dict comprehension



        The dictionnary initiation you perform via dict[index] = value in a loop could be done using the Dictionnary Comprehension syntactic sugar.



        Instead of:



        dic = 
        for i, team in enumerate(teams):
        dic[i] = team


        we you can write:



        dic = i: team for i, team in enumerate(teams)


        Now it is much more obvious, it also corresponds to:



        dic = dict(enumerate(teams))


        Finally, we can ask ourselves how we use this dictionnary: the answer is "to get the team at a given index". Do we really need a dictionnay for this ? I do not think so. We can get rid of the dic variable and use teams directly.



        At this stage, we have:



        import random

        def simulate_draw(teams):
        """Return the list of games."""
        if len(teams) % 2 == 0:
        return simulate_even_draw(teams)
        else:
        return simulate_odd_draw(teams)

        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        games = []
        half_len = int(len(teams)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
        for i in range(len(teams)-1):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        games.append(list(zip(arr1, arr2)))
        for game in games:
        for gm in game:
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        a, b = teams[r[0]-1], teams[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        games = []
        half_len = int((len(teams)+1)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2[0])
        arr2.append(arr1[-1])
        arr2.remove(arr2[0])
        arr1.remove(arr1[-1])
        games.append(list(zip(arr1, arr2)))
        for game in games:
        for gm in game:
        r = gm # remove randomness for now - random.sample(gm, len(gm))
        if len(teams)+1 not in r:
        a, b = teams[r[0]-1], teams[r[1]-1]
        matches.append((a, b))
        # print(a + ' plays ' + b)
        return matches


        def displays_simulated_draws(teams):
        """Print the list of games."""
        for gm in simulate_draw(teams):
        a, b = random.sample(gm, len(gm))
        print(a + ' plays ' + b)


        def test_simulate_draw():
        """Small tests for simulate_draw."""
        # TODO: Use a proper testing framework
        TESTS = [
        ([], []),
        (['A'], []),
        (['A', 'B', 'C', 'D'], [('A', 'C'), ('D', 'B'), ('A', 'B'), ('C', 'D'), ('A', 'D'), ('B', 'C')]),
        (['A', 'B', 'C', 'D', 'E'], [('A', 'E'), ('B', 'C'), ('A', 'D'), ('E', 'C'), ('A', 'C'), ('D', 'B'), ('A', 'B'), ('D', 'E'), ('B', 'E'), ('C', 'D')]),
        ]
        for teams, expected_out in TESTS:
        # print(teams)
        ret = simulate_draw(teams)
        assert ret == expected_out

        if __name__ == '__main__':
        test_simulate_draw()
        displays_simulated_draws(['A', 'B', 'C', 'D'])


        The right tool for the task



        The part:



         arr2.remove(arr2[0])
        arr1.remove(arr1[-1])


        could/should probably be written with pop:



         arr2.pop(0)
        arr1.pop()


        And now, these line can be merged with arrXX.append(arrYYY[ZZ]):



        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        games.append(list(zip(arr1, arr2)))


        Removing useless steps



        A loop is used to fill an array. Another one is used to iterate over the array. We could try to use a single loop to do everything (disclaimer: this is not always a good idea as far as readability goes).



        This removes the need for a few calls to list.



        At this stage, we have:



        def simulate_even_draw(teams):
        """Return the list of games."""
        matches = []
        half_len = int(len(teams)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams))][::-1]
        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for gm in zip(arr1, arr2):
        matches.append((teams[gm[0]-1], teams[gm[1]-1]))
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        matches = []
        half_len = int((len(teams)+1)/2)
        arr1 = [i+1 for i in range(half_len)]
        arr2 = [i+1 for i in range(half_len, len(teams)+1)][::-1]
        for i in range(len(teams)):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for gm in zip(arr1, arr2):
        if len(teams)+1 not in gm:
        matches.append((teams[gm[0]-1], teams[gm[1]-1]))
        return matches


        Better indices



        You generate a list of indices using i+1 and then use val - 1 when you use them. You can make your life easier twice.



        Iterable unpacking



        Instead of using indices to get elements from an iterable with a know number of elements, you can use iterable unpacking.



        You'd get



        def simulate_even_draw(teams):
        """Return the list of games."""
        half_len = int(len(teams)/2)
        arr1 = [i for i in range(half_len)]
        arr2 = [i for i in range(half_len, len(teams))][::-1]
        matches = []
        for i in range(len(teams)-1):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for a, b in zip(arr1, arr2):
        matches.append((teams[a], teams[b]))
        return matches

        def simulate_odd_draw(teams):
        """Return the list of games."""
        half_len = int((len(teams)+1)/2)
        arr1 = [i for i in range(half_len)]
        arr2 = [i for i in range(half_len, len(teams)+1)][::-1]
        matches = []
        for i in range(len(teams)):
        arr1.insert(1, arr2.pop(0))
        arr2.append(arr1.pop())
        for a, b in zip(arr1, arr2):
        if len(teams) not in (a, b):
        matches.append((teams[a], teams[b]))
        return matches


        True divisions



        Instead of using "/" and convert the float result to int, you can use "//" which is an integer division.



        Other way to compute indices



        We could write something like:



        indices = list(range(len(teams)))
        half_len = len(indices)//2
        arr1 = indices[:half_len]
        arr2 = indices[:half_len-1:-1]


        and



        indices = list(range(len(teams)+1))
        half_len = len(indices)//2
        arr1 = indices[:half_len]
        arr2 = indices[:half_len-1:-1]


        Altough, if we don't care about order, we could use the more direct:



        arr1 = indices[:half_len]
        arr2 = indices[half_len:]


        Remove the duplicated logic



        Don't repeat yourself is a principle of software development that you could easily apply here. Indeed, we have 2 functions that look very similar.



        This is trickier than expected and I have to go. I may continue another day.



        Batteries included



        The Python standard library contains many useful things. Among them, we have the very interesting module itertools which itself contains combinations which is what you want.







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        edited Apr 23 at 20:23

























        answered Apr 23 at 17:03









        JosayJosay

        26.3k14087




        26.3k14087




















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