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The jupyter notebook with examples on how to interact with the data are available in [s2-polars-data-analysis](https://github.com/sebosp/s2-polars-data-analysis)
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### polars-cli
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@@ -141,13 +130,6 @@ $ # List the max number of minerals that were lost in per map when the army was
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-[ ] Support for MPQ embedded file: `replay.gamemetadata.json`
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-[ ] Support for MPQ embedded file: `replay.attributes.events`
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## Current issues
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In the arrow file generation, sha256 digest is used to detect duplication/etc.
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This inflates the size of the rows. Even tho it's slightly less than long directory names.
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Perhaps using short rev-parse for sha256 may be better, find something like 7-characters unique combinations
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And use that instead of the long sha256 form.
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## version compatibility.
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After a bit of testing, it seems most of the types are compatible between versions, so only when they differ would they make part of the protocol version.
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