**Min and Max python**

### Problem Statement :

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. Task You are given a 2-D array with dimensions N X 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.

### Solution :

` ````
Solution in C :
import numpy
n,m=map(int,input().split())
lista=[list(map(int,input().split())) for i in range(n)]
ar=numpy.array(lista)
print(max(numpy.min(ar,axis=1)))
```

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