Cfrtjryk

# First step : collect of some f(y) values 

tobe_averaged = *8

for i_dont_touch in range(8):

    # some random code here

    scores = 

    for y in ys:

        scores.append( f(y) )

    tobe_averaged.append(scores)



 # Second step : rearrange the list of the list somehow.

 averaged_score = 

 for i_dont_touch in range(6):

    B =  

    for A in tobe_averaged:   

       B.append(A[i_dont_touch])

    averaged_score.append(np.mean(B))

 print(averaged_score)  

# First step : collect of some f(y) values 

tobe_averaged = *8

for i_dont_touch in range(8):

    # some random code here

    scores = 

    for y in ys:

        scores.append( f(y) )

    tobe_averaged.append(scores)



 # Second step : rearrange the list of the list somehow.

 averaged_score = 

 for i_dont_touch in range(6):

    B =  

    for A in tobe_averaged:   

       B.append(A[i_dont_touch])

    averaged_score.append(np.mean(B))

 print(averaged_score)  

# First step : collect of some f(y) values 

tobe_averaged = *8

for i_dont_touch in range(8):

    # some random code here

    scores = 

    for y in ys:

        scores.append( f(y) )

    tobe_averaged.append(scores)



 # Second step : rearrange the list of the list somehow.

 averaged_score = 

 for i_dont_touch in range(6):

    B =  

    for A in tobe_averaged:   

       B.append(A[i_dont_touch])

    averaged_score.append(np.mean(B))

 print(averaged_score)  

# First step : collect of some f(y) values 

tobe_averaged = *8

for i_dont_touch in range(8):

    # some random code here

    scores = 

    for y in ys:

        scores.append( f(y) )

    tobe_averaged.append(scores)



 # Second step : rearrange the list of the list somehow.

 averaged_score = 

 for i_dont_touch in range(6):

    B =  

    for A in tobe_averaged:   

       B.append(A[i_dont_touch])

    averaged_score.append(np.mean(B))

 print(averaged_score)  

Your Answer

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