Why do you use different number of queries as default setting for estimating gradient in Sign-OPT and SVM-OPT? (200 vs 100)

[machanic]

Dear Minhao Cheng:
When I check the code, I found the K (which is used for estimating the gradient of θ), is set different in Sign-OPT and SVM-OPT?
100 vs 200
I think this is not fair for comparing Sign-OPT and SVM-OPT
This is the code in def sign_grad_v1, 200 is the default value.

attackbox/attack/Sign_OPT.py

Line 201 in 1f82092

K = self.k # 200 random directions (for estimating the gradient)

K = self.k # 200 random directions (for estimating the gradient)

and in

attackbox/attack/Sign_OPT.py

Line 277 in 1f82092

X = np.zeros((dim, K))

K = 100 as the default parameter of the def sign_grad_svm function, which does not pass in any parameter?
Should I set all K to100 and redo my experiments for fair comparison of Sign-OPT and SVM-OPT in my paper?
Thank you!