Return same values when running recursively

[DavidRRice]

I'm looping through alpha values to test the amount of peaks each finds, and I get the same output every time. I get different values if I run each alpha individually.

for i in [0.06,0.055,0.05,0.04]:#np.arange(0.07,0.05,-0.002):
data = np.msort(np.array(analysisuncomp).flatten())
print(i)
print(UniDip(data,alpha=i,ntrials=500).run())

Output:
0.06
[(6, 127), (135, 181), (196, 313), (370, 5683), (5685, 10540), (10545, 30064)]
0.055
[(6, 127), (135, 181), (196, 313), (370, 5683), (5685, 10540), (10545, 30064)]
0.05
[(6, 127), (135, 181), (196, 313), (370, 5683), (5685, 10540), (10545, 30064)]
0.04