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Axelrod-Python / Axelrod / 3456
99%
master: 100%

Build:
Build:
LAST BUILD BRANCH: v4.9.1
DEFAULT BRANCH: master
Ran 19 Feb 2017 09:50AM UTC
Jobs 2
Files 155
Run time 32s
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drvinceknight
Add state to action analysis.

Add two functions to interaction_utils:

- `interaction_utils.compute_state_to_action_distribution`: computes
  list of counter objects of mapping a `(state, action)` to a count.
- `interaction_utils.compute_normalised_state_to_action_distribution`: computes
  list of counter objects of mapping a `(state, action)` to a normalised
  count (for a given state).

There have then been incorporated in `axelrod.result_set` and in particular in
the `result_set.summarise()` output. Which now includes the average
rates for each strategy in a tournament. So for memory 1 strategies this
means we can measure their parameters and for non memory 1 strategies we
can infer what the parameters correspond to the data.

11336 of 11396 relevant lines covered (99.47%)

1.99 hits per line

Jobs
ID Job ID Ran Files Coverage
1 3456.1 19 Feb 2017 09:50AM UTC 0
99.47
Travis Job 3456.1
2 3456.2 19 Feb 2017 09:50AM UTC 0
99.47
Travis Job 3456.2
Source Files on build 3456
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