Reputation: 725
I have a MATLAB function :
Bits=30
NBits= ceil(fzero(@(x)2^(x) - x -1 - Bits, max(log2(Bits),1)))
I want to convert it to python, I wrote something like this so far:
from numpy import log, log2
from scipy.optimize import root_scalar
def func(x,Bits):
return ((x)2^(x)-x-1-Bits, max(log2(Bits)))
However it says that it need to be (x)*2^ Does anybody know first, if the conversion from Matlab to python is correct? and second if * has to be added?
Upon suggestion I wrote this lambda function:
lambda x: (2^(x) -x -1 -Bits) , max(log2(Bits))
but I get this error: TypeError: 'numpy.float64' object is not iterable
Upvotes: 0
Views: 241
Reputation: 7006
I don't have numpy or scipy on this computer so here is my best attempt at an answer.
def YourFunc(Bits):
return math.ceil(root_scalar(lambda x: (2**x)-x-1-Bits, x0 = max(log2(Bits),1)))
Bits = 30
NBits = YourFunc(30)
print(NBits)
I used this function for log2 rather than the one from numpy. Try it
def log2(x):
return math.log(x,2)
Upvotes: 2