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@@ -322,7 +322,7 @@ It offers a wide variety of features, for example:
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N <- 10
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for(i in 1:(N-1)) sum <- sum + i + w
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sum
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All queries together required ≈3 ms (1ms accuracy, total 3 ms)
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All queries together required ≈4 ms (1ms accuracy, total 4 ms)
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```
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@@ -356,7 +356,7 @@ It offers a wide variety of features, for example:
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* 🚀 **fast call-graph, data-, and control-flow graphs**\
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Within just [<i><span title="This measurement is automatically fetched from the latest benchmark!">117 ms</span></i> (as of Feb 3, 2026)](https://flowr-analysis.github.io/flowr/wiki/stats/benchmark),
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Within just [<i><span title="This measurement is automatically fetched from the latest benchmark!">121.6 ms</span></i> (as of Feb 4, 2026)](https://flowr-analysis.github.io/flowr/wiki/stats/benchmark),
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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/wiki/dataflow-graph) for more details on the dataflow graphs as well as call graphs.
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@@ -392,7 +392,7 @@ It offers a wide variety of features, for example:
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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 v2.9.2, R grammar v14 (tree-sitter engine)
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flowR repl using flowR v2.9.3, R grammar v14 (tree-sitter engine)
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R> :dataflow* test/testfiles/example.R
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```
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@@ -697,7 +697,7 @@ It offers a wide variety of features, for example:
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```
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(The analysis required _2.0 ms_ (including parse and normalize, using the [tree-sitter](https://github.com/flowr-analysis/flowr/wiki/Engines) engine) within the generation environment.)
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(The analysis required _2.3 ms_ (including parse and normalize, using the [tree-sitter](https://github.com/flowr-analysis/flowr/wiki/Engines) engine) within the generation environment.)
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