Commit 077f9b66 authored by Mario Teixeira Parente's avatar Mario Teixeira Parente
Browse files

adjust README to new folder for approaches

parent b759966e
......@@ -63,6 +63,12 @@ Directory: `general/`
### TAS
Directory: `tas/`
`tas/approaches/`: Implementation of TAS approaches.
`tas/approaches/dummies.py`: Implementation of dummy approaches.
`RandomnessApproach` chooses measurement locations uniformly at random in the valid part of the region of interest.
`GridApproach` chooses measurement locations on a grid structure in a specific order.
`tas/experiments/`: Directory for storing JSON files of conducted experiments.
It is empty after cloning.
Each approach the benchmarking procedure is run for has its own subdirectory.
......@@ -73,10 +79,6 @@ Each approach the benchmarking procedure is run for has its own subdirectory.
`tas/test_cases/`: Directory with TAS test cases as JSON files.
`tas/dummies.py`: Implementation of dummy approaches.
`RandomnessApproach` chooses measurement locations uniformly at random in the valid part of the region of interest.
`GridApproach` chooses measurement locations on a grid structure in a specific order.
`tas/run_benchmark.py`: Script for running the benchmark procedure with experiments from the approach's subdirectory in `tas/experiments/`.
`tas/run_diagnostics.py`: Script for running diagnostics of the components in the TAS setting, i.e., test cases, experiments, and benchmark results.
......@@ -103,7 +105,7 @@ Results are stored in the approach's subdirectory in `tas/results/`.
8. If applicable, get results from the community, store them in a subdirectory in `tas/results` and make a comparison by running the second part of `general/run_diagnostics.py`.
#### Testing with a dummy approach in the TAS setting
The procedure can be tested in the TAS setting without modifying a fresh clone of this repository with the given test cases in `tas/test_cases` and the dummy approach based on random sampling from `tas/dummies.py`.
The procedure can be tested in the TAS setting without modifying a fresh clone of this repository with the given test cases in `tas/test_cases` and the dummy approach based on random sampling from `tas/approaches/dummies.py`.
1. Run `tas/run_experiments.py`.
2. Run `tas/run_diagnostics.py` to diagnose test cases and experiments.
3. Run `tas/run_benchmark.py`.
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