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Adjust documentation.
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docs/tutorials/advanced/classification_of_strategies.rst

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@@ -57,7 +57,7 @@ strategies::
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... }
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>>> strategies = axl.filtered_strategies(filterset)
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>>> len(strategies)
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Or, to find out how many strategies only use 1 turn worth of memory to
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make a decision::
@@ -116,7 +116,7 @@ Strategies that :code:`manipulate_source`, :code:`manipulate_state`
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and/or :code:`inspect_source` return :code:`False` for the
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:code:`Classifier.obey_axelrod` function::
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>>> s = axl.MindBender()
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>>> s = axl.Darwin()
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>>> axl.Classifiers.obey_axelrod(s)
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False
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>>> s = axl.TitForTat()

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