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68c3f0ec9c
* Add usage for MultiBinary space * Add multibinary observation space example usage and sample
44 lines
1.0 KiB
Python
44 lines
1.0 KiB
Python
import numpy as np
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from .space import Space
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class MultiBinary(Space):
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'''
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An n-dimensional binary space.
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The argument to MultiBinary defines n.
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Example Usage:
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>> self.observation_space = spaces.MultiBinary(5)
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>> self.observation_space.sample()
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array([0,1,0,1,0], dtype =int8)
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'''
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def __init__(self, n):
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self.n = n
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super(MultiBinary, self).__init__((self.n,), np.int8)
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def sample(self):
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return self.np_random.randint(low=0, high=2, size=self.n, dtype=self.dtype)
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def contains(self, x):
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if isinstance(x, list):
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x = np.array(x) # Promote list to array for contains check
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return ((x==0) | (x==1)).all()
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def to_jsonable(self, sample_n):
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return np.array(sample_n).tolist()
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def from_jsonable(self, sample_n):
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return [np.asarray(sample) for sample in sample_n]
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def __repr__(self):
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return "MultiBinary({})".format(self.n)
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def __eq__(self, other):
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return isinstance(other, MultiBinary) and self.n == other.n
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