#When analyzing data sets, such as data for human heights or 
#for human weights, a common step is to adjust the data. 
#This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.

#For this program, adjust the values by dividing all values by the largest value. 
#The input begins with an integer indicating the number of floating-point values that follow. 
#Assume that the list will always contain positive floating-point values.

#Output each floating-point value with two digits after the decimal point, which can be achieved as follows:
#print(f'{your_value:.2f}')

numbers = []

count = int(input())

for in range(count): 
    numbers.append(float(input()))

largest = max(numbers)

for num in numbers: 
    result = num / largest
    print(f'{result:.2f}')