I am looking for an efficient way to determine the greatest common divisor of two floats with python. The routine should have the following layout
gcd(a, b, rtol=1e-05, atol=1e-08)
"""
Returns the greatest common divisor of a and b
Parameters
----------
a,b : float
two floats for gcd
rtol, atol : float, optional
relative and absolute tolerance
Returns
-------
gcd : float
Greatest common divisor such that for x in [a,b]:
np.mod(x,gcd) < rtol*x + atol
.. _PEP 484:
https://www.python.org/dev/peps/pep-0484/
"""
Example: gcd of rational and irrational number
The gcd(1., np.pi, rtol=0, atol=1e-5)
should return (roughly) 1e-5
, as
In [1]: np.mod(np.pi,1e-5)
Out[1]: 2.6535897928590063e-06
In [2]: np.mod(1.,1e-5)
Out[2]: 9.9999999999181978e-06
I would prefer to use a library implementation and not to write it myself. The fractions.gcd function does not seem appropriate to me here, as I do not want to work with fractions and it (obviously) does not have the tolerance parameters.
Seems like you could just modify the code of fractions.gcd
to include the tolerances:
def float_gcd(a, b, rtol = 1e-05, atol = 1e-08):
t = min(abs(a), abs(b))
while abs(b) > rtol * t + atol:
a, b = b, a % b
return a
The following code may be useful. The function to call is float_gdc(a, b).
from math import gcd, log10, pow
def float_scale(x):
max_digits = 14
int_part = int(abs(x))
magnitude = 1 if int_part == 0 else int(log10(int_part)) + 1
if magnitude >= max_digits:
return 0
frac_part = abs(x) - int_part
multiplier = 10 ** (max_digits - magnitude)
frac_digits = multiplier + int(multiplier * frac_part + 0.5)
while frac_digits % 10 == 0:
frac_digits /= 10
return int(log10(frac_digits))
def float_gcd(a, b):
sc = float_scale(a)
sc_b = float_scale(b)
sc = sc_b if sc_b > sc else sc
fac = pow(10, sc)
a = int(round(a*fac))
b = int(round(b*fac))
return round(gcd(a, b)/fac, sc)
A part of the code is taken from here: Determine precision and scale of particular number in Python
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