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docs/python_api.md
@@ -14,8 +14,8 @@ Constructing the environment, doing one step and retrieving one observation:
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import deepmind_lab
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# Construct and start the environment.
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-lab = deepmind_lab.Lab('seekavoid_arena_01', ['RGB_INTERLACED'])
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-lab.reset()
+env = deepmind_lab.Lab('seekavoid_arena_01', ['RGB_INTERLACED'])
+env.reset()
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# Create all-zeros vector for actions.
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action = np.zeros([7], dtype=np.intc)
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