My question is simple: \"how to build a dynamic growing truth table in python in an elegant way?\"
for n=3
for p in False, True:
for q in False, Tru
Use itertools.product():
table = list(itertools.product([False, True], repeat=n))
Result for n = 3
:
[(False, False, False),
(False, False, True),
(False, True, False),
(False, True, True),
(True, False, False),
(True, False, True),
(True, True, False),
(True, True, True)]
who here likes raw 1-liners?
>>> truthtable = lambda n: [[(v>>i)&1 for i in range(n-1,-1,-1)] for v in range(1<<n)] if n>0 else [[]]
100% tested and working.
(can't copy/paste result, or above code, cause I'm on a phone for Internet)
itertools
really is the way to go as has been pointed out by everyone. But if you really want to see the nuts and bolts of the algorithm required for this, you should look up recursive descent. Here's how it would work in your case:
def tablize(n, truths=[]):
if not n:
print truths
else:
for i in [True, False]:
tablize(n-1, truths+[i])
Tested, working
Hope this helps
Have a look at the itertools module
In [7]: [i for i in itertools.product([0,1], repeat=3)]
Out[7]:
[(0, 0, 0),
(0, 0, 1),
(0, 1, 0),
(0, 1, 1),
(1, 0, 0),
(1, 0, 1),
(1, 1, 0),
(1, 1, 1)]
Easy math aproach:
a = lambda x: [x//4%2,x//2%2,x%2]
for i in range(8):
print(a(i))
[0, 0, 0]
[0, 0, 1]
[0, 1, 0]
[0, 1, 1]
[1, 0, 0]
[1, 0, 1]
[1, 1, 0]
[1, 1, 1]
EDIT:
A more general format wold be:
def truth_table(n):
for i in range(2**n):
line = [i//2**j%2 for j in reversed(range(n))]
print(line)
This will only print the result as:
>>> truth_table(3)
[0, 0, 0]
[0, 0, 1]
[0, 1, 0]
[0, 1, 1]
[1, 0, 0]
[1, 0, 1]
[1, 1, 0]
[1, 1, 1]
returning a datastructure representing the table is fine
...in that case range(2 ** n)
is all you need. Each number in the range represents a row in the truth table. The i
th bit of the binary representation of the number k
is 1 if and only if the i
th variable is true in the k
th row of the table.
If you want an actual table you can use:
[ [ ((row >> bit_index) & 1) == 1 for bit_index in range(n)]
for bit_index in range(2 ** n) ]