import csv
import sys

#This is matching script you can use locally for testing your output format

def r2_score(y_true,y_pred):

    num = 0.0
    s = 0.0
    for i in range(len(y_true)):
        num += (y_true[i]-y_pred[i])**2
        s += y_true[i]

    avg = s/len(y_true)

    denom = 0.0
    for i in range(len(y_true)):
        denom += (y_true[i]-avg)**2

    return 1 - num/(denom*1.0)


def check(file1,file2):
    labels_true=[]
    labels_predicted=[]
    with open(file1) as csv_file:
        csv_reader = csv.reader(csv_file, delimiter=',')
        line_count = 0
        for row in csv_reader:
            print(row,line_count)
            if line_count != 0 and row!=[]:
                labels_true.append(float(row[1]))
            line_count += 1
        total_lines = line_count

    with open(file2) as csv_file:
        cnt = 0
        csv_reader = csv.reader(csv_file, delimiter=',')
        line_count = 0
        for row in csv_reader:
            if line_count != 0 and row!=[]:
                labels_predicted.append(float(row[1]))
            line_count += 1
            #Process only the lines for which there is something in the input!
            if line_count==total_lines:
                break

    return int((r2_score(labels_true,labels_predicted))*100)


f1 = sys.argv[1] #Actual File
f2 = sys.argv[2] #Predictions File
print(check(f1,f2)