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Phylourny

Phylourny is a toy project to apply a modified version of Felsenstein's pruning algorithm to predicting tournament, such as football or basketball tournaments. The big advantage of doing this, over just running simulations, is that we obtain higher fidelity estimations with less effort.

The Algorithm

As stated before the algorithm used in Phylourny is a modified version of Felsenstein's pruning algorithm for evaluating the likelihood of a tree and a model given some data. As pointed out by Zhang in his book Computational Molecular Evolution this algorithm is itself a version of a method from the early Chinese mathematics to evaluate polynomials faster. We use this to enumerate the paths a team can take through the tournament in a quicker fashion than brute force enumeration.

It is probably important to note that this problem is unlikely to get to the size that this is needed. Most tournaments in the world are small, and are perfectly capable of being sampled, or of enumerating the paths explicitly.

Downloading and Building

To download Phylourny, use the command

git clone --recursive https://github.com/computations/phylourny

and to build

make

The resulting binaries will be placed in bin. Depending on the packages installed locally, there might be 3 binaries:

  • phylourny: The main binary.
  • phylourny_test: The test suite.
  • phylourny_bench: The benchmarking suite.

For most people, only the main binary will be interesting. The test binary will be useful if one needs to check the code does actually work, but the benchmarking binary contains a lot of "extra" benchmarks that are not really that relevant to the program.

The test suite will be built if CMake detects that the address sanitizer is available with the compiler used, and if the option PHYLOURNY_BUILD_TESTS is set, which it is by default. To disable building tests, set the option PHYLOURNY_BUILD_TESTS to OFF.

Benchmarks will be built if the flag PHYLOURNY_BUILD_BENCH is set on, which it is by default. To disable building the benchmark suite, set PHYLOURNY_BUILD_BENCH to OFF.

Examples

There are example datasets in the experiments directory. These are a good place to start if you want to start using the tool.

How to run

To run phylourny, at least 2 files are needed. The first is a file describing the tournament structure, which looks like

Alice
Bob
Charlie
Dawn

This gives a tournament structure

graph TD;

Alice --> a;
Bob --> a;
Charlie --> b;
Dawn --> b;

a --> c;
b --> c;
Loading

At the moment, we only support balanced single elimination tournaments. By balanced, we mean that all teams need to pass through the same number of levels to win, and that each match (except the first) is determined by the winners of two lower level matches. Single elimination in this context means that once a team looses a match, they are out of the tournament. Alternatively, there is only one path from the bottom to the top of the tournament.

The second file that is required is the data file. This file take the form of odds, probabilities or match history. However, a typical run of phylourny uses matches. A match file is like

team1, team2, team1-goals, team2-goals
Alice, Bob, 1, 2
Alice, Charlie, 1, 2
...

With these files, the command to generate a list of samples is

./phylourny --teams teams.csv --matches matches.csv --samples 10000 --prefix results

which will generate everything and place the results in a set of files labeled results. To visualize these results, please use the scrips in util.

For more information about program options, please run phylourny --help.

Run modes

There are 3 run modes for phylourny: dynamic, single and simulation.

  • Dynamic is the default run mode, where Horner's method is used to accelerate computation.
  • Single is an alternative to dynamic which will explicitly evaluate every possibility, in the slow way. This really only should be used for small multi-elimination tournaments.
  • Simulation mode will compute the results approximately using simulations. That is, it will run the tournament stochastically a number of times, and use that to approximate the true WPV. The number of simulations used to approximate the WPV can be controlled with the option --sim-iters. This mode should only be used for multi-elimination tournaments.

Threading

By default, phylourny will spawn a number of threads equal to the number of logical cores available on the system. If you want to run phylourny with fewer threads, run the program as

OMP_NUM_THREADS=<THREAD COUNT> ./phylourny ...

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