## Algorithm

Problem Name: Python - Min and Max

In this HackerRank Functions in PYTHON problem solution,

min

The tool min returns the minimum value along a given axis.

``````import numpy

my_array = numpy.array([[2, 5],
[3, 7],
[1, 3],
[4, 0]])

print numpy.min(my_array, axis = 0)         #Output : [1 0]
print numpy.min(my_array, axis = 1)         #Output : [2 3 1 0]
print numpy.min(my_array, axis = None)      #Output : 0
print numpy.min(my_array)                   #Output : 0
``````

By default, the axis value is `None`. Therefore, it finds the minimum over all the dimensions of the input array.

max

The tool max returns the maximum value along a given axis.

``````import numpy

my_array = numpy.array([[2, 5],
[3, 7],
[1, 3],
[4, 0]])

print numpy.max(my_array, axis = 0)         #Output : [4 7]
print numpy.max(my_array, axis = 1)         #Output : [5 7 3 4]
print numpy.max(my_array, axis = None)      #Output : 7
print numpy.max(my_array)                   #Output : 7
``````

By default, the axis value is `None`. Therefore, it finds the maximum over all the dimensions of the input array.

You are given a 2-D array with dimensions N * M .

Your task is to perform the min function over axis 1 and then find the max of that.

Input Format

The first line of input contains the space separated values of N and M.

The next N lines contains M space separated integers.

Output Format

Compute the min along axis 1 and then print the max of that result.

Sample Input

``````4 2
2 5
3 7
1 3
4 0
``````

Sample Output

``````3
``````

Explanation

The min along axis 1 = [2,3,1,0]

The max of [2,3,1,0] = 3

## Code Examples

### #1 Code Example with Python Programming

```Code - Python Programming```

``````
import numpy
N, M = map(int, input().split())
running_list = []
for i in range(0, N):
running_list.append([x for x in input().split()])

my_array = numpy.array(running_list, int)
print(numpy.max(numpy.min(my_array, axis=1), axis=None))
``````
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