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Axelrod-Python / Axelrod / 3455 / 2
99%
master: 100%

Build:
Build:
LAST BUILD BRANCH: v4.9.1
DEFAULT BRANCH: master
Ran 19 Feb 2017 09:49AM UTC
Files 155
Run time 7s
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19 Feb 2017 12:48AM UTC coverage: 99.473%. First build
3455.2

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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%)

0.99 hits per line

Source Files on job 3455.2
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Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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  • Travis Job 3455.2
  • f9bee63f on github
  • Next Job for on mem1-rates (#3456.2)
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