# Setting a random seedΒΆ

The library has a variety of strategies whose behaviour is stochastic. To ensure reproducible results a random seed should be set. As both Numpy and the standard library are used for random number generation, both seeds need to be set. To do this we can use the seed function:

```
>>> import axelrod as axl
>>> players = (axl.Random(), axl.MetaMixer()) # Two stochastic strategies
>>> axl.seed(0)
>>> results = axl.Match(players, turns=3).play()
```

We obtain the same results if it is played with the same seed:

```
>>> axl.seed(0)
>>> results == axl.Match(players, turns=3).play()
True
```

Note that this is equivalent to:

```
>>> import numpy
>>> import random
>>> players = (axl.Random(), axl.MetaMixer())
>>> random.seed(0)
>>> numpy.random.seed(0)
>>> results = axl.Match(players, turns=3).play()
>>> numpy.random.seed(0)
>>> random.seed(0)
>>> results == axl.Match(players, turns=3).play()
True
```