Arrays

The NumPy (Numeric Python) package helps us manipulate large arrays and matrices of numeric data.

To use the NumPy module, we need to import it using:

import numpy

Arrays

A NumPy array is a grid of values. They are similar to lists, except that every element of an array must be the same type.

import numpy

a = numpy.array([1,2,3,4,5])
print a[1]          #2

b = numpy.array([1,2,3,4,5],float)
print b[1]          #2.0

In the above example, numpy.array() is used to convert a list into a NumPy array. The second argument (float) can be used to set the type of array elements.

Task

You are given a space separated list of numbers.
Your task is to print a reversed NumPy array with the element type float.

Input Format

A single line of input containing space separated numbers.

Output Format

Print the reverse NumPy array with type float.

Sample Input

1 2 3 4 -8 -10

Sample Output

[-10.  -8.   4.   3.   2.   1.]

Solution Implementation

import numpy
def arrays(arr):
    import numpy as np
    arr.reverse()
    fl = list(map(float,arr))
    res = np.array(fl)
    return(res)
arr = input().strip().split(' ')
result = arrays(arr)
print(result)