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Note that in the above output, some of the outcomes are `N+`. The reason is that, by default, Popper does not test all the examples during the testing stage, and instead performs *minimal testing*. To test on all the examples, call Popper with the `--test-all` flag.
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For instance, running the command `python popper.py examples/trains --test-all` produces the output:
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Popper is an anytime algorithm. To see the intermediate solutions use the `--info` flag. For instance, running the command `python popper.py examples/trains2 --info` produces the output:
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