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Conditional operators (like <, >, etc.) are also applied element-wise.

e.g.

```
import numpy as np
m = np.array( [ 20, -5, 30, 40] )
m < [15, 16, 35, 36]
```

Output will be

```
array([ False, True, True, False], dtype=bool)
```

Now let us check for another condition

```
m< 25
```

Output will be

```
array( [ True, True, False, False], dtype=bool )
```

To get the elements below a value of 25, you can use the below syntax

```
m[m<25]
```

Output will be

```
array( [20, -5 ] )
```

Please follow the below steps:

(1) Please import the required libraries

```
import numpy as np
```

(2) Please create a NumPy array called `U`

, as shown below

```
U = np.array([ [ 22, 45], [90, 4 ] ] )
```

(3) Get all the elements of `U`

which are less than `45`

, and print the result using the `print()`

function

```
print( << your code comes here>> )
```

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