2016-04-27 08:00:58 -07:00
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import numpy as np
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2018-02-02 23:01:45 -08:00
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import gym
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2016-04-27 08:00:58 -07:00
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2018-02-02 23:01:45 -08:00
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class Discrete(gym.Space):
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2016-04-27 08:00:58 -07:00
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"""
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{0,1,...,n-1}
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2016-06-11 23:10:58 -07:00
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Example usage:
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self.observation_space = spaces.Discrete(2)
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2016-04-27 08:00:58 -07:00
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"""
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2016-05-30 18:07:59 -07:00
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def __init__(self, n):
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2016-04-27 08:00:58 -07:00
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self.n = n
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2018-02-02 23:01:45 -08:00
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gym.Space.__init__(self, (), np.int64)
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2016-04-27 08:00:58 -07:00
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def sample(self):
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2018-02-02 23:01:45 -08:00
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return gym.spaces.np_random.randint(self.n)
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2016-04-27 08:00:58 -07:00
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def contains(self, x):
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2016-04-27 18:31:32 -07:00
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if isinstance(x, int):
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as_int = x
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2016-05-03 22:27:06 -04:00
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elif isinstance(x, (np.generic, np.ndarray)) and (x.dtype.kind in np.typecodes['AllInteger'] and x.shape == ()):
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2016-04-27 18:31:32 -07:00
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as_int = int(x)
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else:
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return False
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return as_int >= 0 and as_int < self.n
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2018-08-27 15:30:47 -07:00
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2016-04-27 08:00:58 -07:00
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def __repr__(self):
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return "Discrete(%d)" % self.n
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def __eq__(self, other):
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return self.n == other.n
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