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[skip ci] doc: update generated wiki pages (wiki/Interface,wiki/Control Flow Graph,wiki/Core,wiki/Linter,README,bug-report.yaml)
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.github/ISSUE_TEMPLATE/bug-report.yaml

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options:
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# START::Versions
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- <Older> (please consider updating)
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- v2.2.6 (Feb 19, 2025)
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- v2.2.7 (Feb 19, 2025)
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- v2.2.8 (Feb 19, 2025)
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- v2.2.9 (Feb 21, 2025)
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- v2.2.10 (Feb 23, 2025)
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- v2.2.11 (Mar 2, 2025)
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- v2.2.12 (Mar 17, 2025)
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- v2.2.13 (May 27, 2025)
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- v2.2.14 (May 31, 2025)
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- Unknown
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- Unreleased/Dev
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# END::Versions

README.md

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```shell
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$ docker run -it --rm eagleoutice/flowr # or npm run flowr
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flowR repl using flowR v2.2.13, R v4.4.3 (r-shell engine)
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flowR repl using flowR v2.2.14, R v4.4.3 (r-shell engine)
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R> :slicer test/testfiles/example.R --criterion "11@sum"
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```
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* 🚀 **fast data- and control-flow graphs**\
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Within just <i><span title="This measurement is automatically fetched from the latest benchmark!">139.5 ms</span></i> (as of May 27, 2025),
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Within just <i><span title="This measurement is automatically fetched from the latest benchmark!">133.8 ms</span></i> (as of May 31, 2025),
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_flowR_ can analyze the data- and control-flow of the average real-world R script. See the [benchmarks](https://flowr-analysis.github.io/flowr/wiki/stats/benchmark) for more information,
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and consult the [wiki pages](https://github.com/flowr-analysis/flowr/wiki/Dataflow-Graph) for more details on the dataflow graph.
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```shell
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$ docker run -it --rm eagleoutice/flowr # or npm run flowr
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flowR repl using flowR v2.2.13, R v4.4.3 (r-shell engine)
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flowR repl using flowR v2.2.14, R v4.4.3 (r-shell engine)
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R> :dataflow* test/testfiles/example.R
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```
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```
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(The analysis required _22.0 ms_ (including parse and normalize, using the [r-shell](https://github.com/flowr-analysis/flowr/wiki/Engines) engine) within the generation environment.)
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(The analysis required _22.8 ms_ (including parse and normalize, using the [r-shell](https://github.com/flowr-analysis/flowr/wiki/Engines) engine) within the generation environment.)
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