This seems to be simple but I cannot find a way to do it. I need to show whether the cube root of an integer is integer or not. I used is_integer()
float method in Python 3.4 but that wasn't successful. As
x = (3**3)**(1/3.0)
is_integer(x)
True
but
x = (4**3)**(1/3.0)
is_integer(x)
False
I tried x%1 == 0
,x == int(x)
and isinstance(x,int)
with no success.
I'd appreciate any comment.
For small numbers (<~1013 or so), you can use the following approach:
def is_perfect_cube(n):
c = int(n**(1/3.))
return (c**3 == n) or ((c+1)**3 == n)
This truncates the floating-point cuberoot, then tests the two nearest integers.
For larger numbers, one way to do it is to do a binary search for the true cube root using integers only to preserve precision:
def find_cube_root(n):
lo = 0
hi = 1 << ((n.bit_length() + 2) // 3)
while lo < hi:
mid = (lo+hi)//2
if mid**3 < n:
lo = mid+1
else:
hi = mid
return lo
def is_perfect_cube(n):
return find_cube_root(n)**3 == n
In SymPy there is also the integer_nthroot
function which will quickly find the integer nth root of a number and tell you whether it was exact, too:
>>> integer_nthroot(primorial(12)+1,3)
(19505, False)
So your function could be
def is_perfect_cube(x): return integer_nthroot(x, 3)[1]
(And because SymPy is open source, you can look at the routine to see how integer_nthroot
works.)
If your numbers aren't big, I would do:
def is_perfect_cube(number):
return number in [x**3 for x in range(15)]
Of course, 15
could be replaced with something more appropriate.
If you do need to deal with big numbers, I would use the sympy
library to get more accurate results.
from sympy import S, Rational
def is_perfect_cube(number):
# change the number into a sympy object
num = S(number)
return (num**Rational(1,3)).is_Integer
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