human
Solve the following python programming problem given the following code:
@ property 
def rows(self) : 
    def format_val(val) : 
        return (self.no_value if (val is None) else val) 
def avg(values, idx = None) : 
        sum = 0 
        denom = 0 
        for v in values : 
            if (idx == 10) : 
                numbers = re.split ('/|\\s|%', v ['html']) 
                sum += int (numbers [0]) 
                if (int (numbers [1]) > denom) : 
                    denom = int (numbers [1]) 
else : 
                sum += (v ['sort_key'] if (v is not None) else 0) 
mean = (float (sum) / float (len (values))) 
        if (idx == 10) : 
            try : 
                percent = ((mean * 100) / denom) 
except ZeroDivisionError : 
                percent = 0 
html = '{0}/{1} ({2}%)'.format (int (mean), int (denom), int (percent)) 
            return format_datatables_data (html, percent) 
mean = ('%.0f' % mean) 
        return format_datatables_data (mean, mean) 
data = [] 
    config = self.report_config 
    for i in range (0, 3) : 
        config ['enddate'] = ((config ['startdate'] + relativedelta (months = 1)) - relativedelta (days = 1)).replace (hour = 23, minute = 59, second = 59) 
        data.append (ASHAFacilitatorsData (config).data) 
        config ['startdate'] += relativedelta (months = 1) 
rows = [[column.header, format_val (column.get_value (data [2])), format_val (column.get_value (data [1])), format_val (column.get_value (data [0])), avg ([column.get_value (data [2]), column.get_value (j [1]), column.get_value (data [0])], idx)] for (idx, column) in enumerate (self.model.columns [2 :])] 
    total = [self.model.columns [0].get_raw_value (d) for d in data] 
    reporting = [self.model.columns [1].get_raw_value (d) for d in data] 
    not_reporting = [format_datatables_data ((i - (j or 0)), (i - (j or 0))) for (i, j) in zip (total, reporting)] 
    rows.append ((([_ ('<b>Total number of ASHAs who did not report/not known</b>')] + not_reporting) + [avg (not_reporting)])) 
    return (rows, (sum (total) / len (total))) 

    
    

    Fix the buggy line: rows = [[column.header, format_val (column.get_value (data [2])), format_val (column.get_value (data [1])), format_val (column.get_value (data [0])), avg ([column.get_value (data [2]), column.get_value (j [1]), column.get_value (data [0])], idx)] for (idx, column) in enumerate (self.model.columns [2 :])]
assistant
#Here is Python program to fix the buggy line: rows = [[column.

rows = [[column.header, format_val (column.get_value (data [2])), format_val (column.get_value (data [1])), format_val (column.get_value (data [0])), avg ([column.get_value (data [2]), column.get_value (data [1]), column.get_value (data [0])], idx)] for (idx, column) in enumerate (self.model.columns [2 :])]