Calculate multi conditional calculation python

Need to check Student performance-based on Subject lectures presentation at different locations.

In some cases, Students give presentations from remote locations.

Mathematically Score is like

Student and teacher location were same = (Total of subject_lac * 0.25) / Total of subject_lac

Student and teacher location were Different state = (Total of subject_lac * 0.5) / Total of subject_lac

Student and teacher location were Different Country= (Total of subject_lac * 1) / Total of subject_lac

But some cases same student different locations then multiply with weightage and do average of it Like:

2 subjects in the same location, 3 subjects in Different state, 1 subject Different Country

= (20.25) + (30.5) + (1*1) / 6

DataSet like:

Teacher  Teach_Location   Student   Student_Location    Subject_lac
         (Country+State)             (Country+State)
----------------------------------------------------------------------
    T1         AAS           S1            AAS            X110 
    T1         AAS           S1            AAS            X110 
    T1         AAS           S2            AAS            X212 
    T2         LMN           S3            LMN            X311 
    T1         AAS           S2            AAS            X212 
    T1         AAS           S1            OPT            X150 
    T2         LMN           S3            LMN            X311    
    T1         AAS           S4            AAS            X222    
    T2         LMN           S4            LMN            X222    
    T2         LMN           S4            LMN            X222    
    T1         AAS           S1            OPT            X150 
    T1         AAS           S2            AAS            X200
    T1         AAS           S2            OPT            X211
    T2         LMN           S3            OPT            X311
    T2         LMN           S3            OPT            X311

data = {'Teacher':['T1', 'T1', 'T1', 'T2', 'T1', 'T1', 'T2', 'T1', 'T2', 'T2', 'T1', 'T1', 'T1', 'T2', 'T2'],
        'Tech_location':['AAS','AAS','AAS','LMN','AAS','AAS','LMN','AAS','LMN','LMN','AAS','AAS','AAS','LMN','LMN' ],
        'Student':['S1','S1','S2','S3','S2','S1','S3','S2','S4','S4','S1','S2','S2','S3','S3'],
        'Student_location':['AAS','AAS','AAS','LMN','AAS','OPT','LMN','AAS','LMN','LMN','OPT','AAS','OPT','OPT','OPT' ],
         'Subject':['X110','X110','X212','X311','X212','X150','X311','X222','X222','X222','X150',
                     'X200','X211','X311','X311'] }

df = pd.DataFrame(data)

Unable to calculate process for multiple location of students where Teacher location same.

For the single location of both teacher and student:

# I Used state and country columns of Student and Trainer for calculating unique count of subjects.
df4 = df1.groupby(['Teacher','Student','Student_Location','Teacher_Location'])['Subject_lac'].nunique().reset_index(name='total_subject')


def location(x):
    if x['teacher_country'] != x['Student country']:
        return (1 * int(x['total_subject']))/int(x['total_subject'])         
    elif x['teacher_country'] == x['Student country'] and x['teacher_state'] != x['Student state']:
        return (0.75 * int(x['total_subject']))/int(x['total_subject'])
    elif x['teacher_country'] == x['Student country'] and x['teacher_state'] == x['Student state']:
        return (0.25 * int(x['total_subject']))/int(x['total_subject'])
    
    return ''

df4 ['Student Performance'] = df4 .apply(location, axis=1)

Help me to calculate multiple location performance.

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