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Edit the file `smtcomp/defs.py`, in particular `Config.current_year`, `Logic` for adding new logics and `tracks` for new divisions.
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Edit the file `smtcomp/defs.py`, in particular `Config.current_year`, `Logic` for adding new logics and `tracks` for new divisions. Reset `Config.NYSE_seed` to `None`, and set the date the New York Stock Exchange Index will be used in `Config.NYSE_date`.
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Download the new benchmarks from zenodo, unpack them, unpack the .tar.zst, you should get something like:
The directory `./data/` is the one present in this repository.
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## Using the smtcomp tool for selecting the benchmarks
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## Using the `smtcomp` tool for selecting the benchmarks
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The list of benchmarks and the previous results are in json which are human
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readable, but slow to parse (1min). So locally the tool use the feather format. The
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The list of benchmarks and the previous results are in `json` which are human-readable, but slow to parse (1min). So locally the tool use the feather format. The
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feather files are generated with:
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```
@@ -87,7 +86,7 @@ smtcomp create-cache ./data/
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Working with the feather files with [polars](https://docs.pola.rs/) is very fast,
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so no more intermediate files are needed.
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However statistics can be shown, for example for the selection of single track:
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However, statistics can be shown, for example for the selection of single track:
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```
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smtcomp show-sq-selection-stats ./data/ 0
@@ -110,7 +109,7 @@ Which outputs:
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...
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```
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## Using the smtcomp tool for generating benchexec
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## Using the `smtcomp` tool for generating `benchexec` configuration
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#### Generate submissions [Optional]
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@@ -129,37 +128,37 @@ smtcomp show ../tmp/submissions/YicesQS.json
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