Percentile Calculation error and calculation logic of parameters

While running of the function mysp.myprosody(p,c) in the script testpro.py, I started getting multiple doubts which I will request you to clarify. I saw that the function definiton is in myprosody.py and I have doubt in this section of code-

for i in range(25):
            sl0=dataframe[4:7:1,i+1]
            score = array[0,i]
            he=scipy.stats.percentileofscore(sl0, score, kind='strict')
            if he==0:
                he=25
                dfout = "%s:\t %f (%s)" %  (nsns[i],he,"% percentile ")
                print(dfout)
            elif he>=25 and he<=75:
                dfout = "%s:\t %f (%s)" % (nsns[i],he,"% percentile ")
                print(dfout)
            else:
                dfout = "%s:\t (%s)" % (nsns[i],":Out of Range")
                print(dfout)

Here you are taking percentile for each parameter, from stats.csv and reporting percentile using "strict" scoring. As a result percentiles can only be 0, 25, 33.3, 66.6 or out of range. What is the reasoning behind using fixed percentile values? Also if we also have min and max values (0 and 100 percentiles respectively), then why we are reporting some >75 percentiles as out of range?

Apart from this, I want to know the definition and calculating procedure for some of the features-

What is No._long_pause (confused as I didn't expect it to be in decimals)
What is formants_index ?
While giving percentile for parameters like No._detected_vowel, is the time of speech considered (it doesn't make without that right) ?
How is intonation index, TOEFL score and Shannon index calculated here? Can you explain briefly? I see it's done in the praat file but how?

Also, what are the accuracies of the models used to calculate these scores? Is this documented in some paper or report?

Shahabks / myprosody

Percentile Calculation error and calculation logic of parameters #17