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README.md
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README.md
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# enry [](https://godoc.org/github.com/bzz/enry) [](https://travis-ci.org/bzz/enry) [](https://codecov.io/gh/bzz/enry)
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# go-enry [](https://pkg.go.dev/github.com/go-enry/go-enry/v2) [](https://github.com/go-enry/go-enry/actions?query=workflow%3ATest+branch%3Amaster) [](https://codecov.io/gh/go-enry/go-enry)
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Programming language detector and toolbox to ignore binary or vendored files. *enry*, started as a port to _Go_ of the original [linguist](https://github.com/github/linguist) _Ruby_ library, that has an improved *2x performance*.
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Programming language detector and toolbox to ignore binary or vendored files. *enry*, started as a port to _Go_ of the original [Linguist](https://github.com/github/linguist) _Ruby_ library, that has an improved *2x performance*.
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* [CLI](#cli)
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* [Library](#library)
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* [Use cases](#use-cases)
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* [By filename](#by-filename)
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* [By text](#by-text)
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* [By file](#by-file)
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* [Filtering](#filtering-vendoring-binaries-etc)
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* [Languages](#languages)
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* [Go](#go)
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* [Java bindings](#java-bindings)
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* [Python bindings](#python-bindings)
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@ -17,39 +23,58 @@ Programming language detector and toolbox to ignore binary or vendored files. *e
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# CLI
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The recommended way to install the `enry` command-line tool is to either
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[download a release](https://github.com/bzz/enry/releases) or run:
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```
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(cd "$(mktemp -d)" && go mod init enry && go get github.com/go-enry/go-enry/v2/cmd/enry)
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```
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*enry* CLI accepts similar flags (`--breakdown/--json`) and produce an output, similar to *linguist*:
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```bash
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$ enry
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97.71% Go
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1.60% C
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0.31% Shell
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0.22% Java
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0.07% Ruby
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0.05% Makefile
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0.04% Scala
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0.01% Gnuplot
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```
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Note that enry's CLI **_does not need an actual git repository to work_**, which is an intentional difference from linguist.
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The CLI binary is hosted in a separate repository [go-enry/enry](https://github.com/go-enry/enry).
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# Library
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*enry* is also available as a native Go library with FFI bindings for multiple programming languages.
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*enry* is also a Go library for guessing a programming language that exposes API through FFI to multiple programming environments.
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## Go
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## Use cases
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*enry* guesses a programming language using a sequence of matching *strategies* that are
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applied progressively to narrow down the possible options. Each *strategy* varies on the type
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of input data that it needs to make a decision: file name, extension, the first line of the file, the full content of the file, etc.
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Depending on available input data, enry API can be roughly divided into the next categories or use cases.
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### By filename
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Next functions require only a name of the file to make a guess:
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- `GetLanguageByExtension` uses only file extension (wich may be ambiguous)
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- `GetLanguageByFilename` useful for cases like `.gitignore`, `.bashrc`, etc
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- all [filtering helpers](#filtering)
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Please note that such guesses are expected not to be very accurate.
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### By text
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To make a guess only based on the content of the file or a text snippet, use
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- `GetLanguageByShebang` reads only the first line of text to identify the [shebang](https://en.wikipedia.org/wiki/Shebang_(Unix)).
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- `GetLanguageByModeline` for cases when Vim/Emacs modeline e.g. `/* vim: set ft=cpp: */` may be present at a head or a tail of the text.
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- `GetLanguageByClassifier` uses a Bayesian classifier trained on all the `./samples/` from Linguist.
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It usually is a last-resort strategy that is used to disambiguate the guess of the previous strategies, and thus it requires a list of "candidate" guesses. One can provide a list of all known languages - keys from the `data.LanguagesLogProbabilities` as possible candidates if more intelligent hypotheses are not available, at the price of possibly suboptimal accuracy.
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### By file
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The most accurate guess would be one when both, the file name and the content are available:
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- `GetLanguagesByContent` only uses file extension and a set of regexp-based content heuristics.
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- `GetLanguages` uses the full set of matching strategies and is expected to be most accurate.
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### Filtering: vendoring, binaries, etc
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*enry* expose a set of file-level helpers `Is*` to simplify filtering out the files that are less interesting for the purpose of source code analysis:
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- `IsBinary`
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- `IsVendor`
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- `IsConfiguration`
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- `IsDocumentation`
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- `IsDotFile`
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- `IsImage`
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## Languages
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### Go
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In a [Go module](https://github.com/golang/go/wiki/Modules),
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import `enry` to the module by running:
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```go
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```sh
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go get github.com/go-enry/go-enry/v2
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```
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@ -79,7 +104,7 @@ lang := enry.GetLanguage("foo.cpp", []byte("<cpp-code>"))
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Note that the returned boolean value `safe` is `true` if there is only one possible language detected.
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To get a list of all possible languages for a given file, there is a plural version of the same API.
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A plural version of the same API allows getting a list of all possible languages for a given file.
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```go
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langs := enry.GetLanguages("foo.h", []byte("<cpp-code>"))
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@ -92,27 +117,25 @@ langs := enry.GetLanguagesByFilename("Gemfile", []byte("<content>"), []string{})
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// result: []string{"Ruby"}
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```
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## Java bindings
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### Java bindings
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Generated Java bindings using a C shared library and JNI are available under [`java`](https://github.com/bzz/enry/blob/master/java).
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Generated Java bindings using a C shared library and JNI are available under [`java`](https://github.com/go-enry/go-enry/blob/master/java).
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A library is published on Maven as [tech.sourced:enry-java](https://mvnrepository.com/artifact/tech.sourced/enry-java) for macOS and linux platforms. Windows support is planned under [src-d/enry#150](https://github.com/src-d/enry/issues/150).
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# Python bindings
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### Python bindings
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Generated Python bindings using a C shared library and cffi are WIP under [src-d/enry#154](https://github.com/src-d/enry/issues/154).
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A library is going to be published on pypi as [enry](https://pypi.org/project/enry/) for
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macOS and linux platforms. Windows support is planned under [src-d/enry#150](https://github.com/src-d/enry/issues/150).
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Divergences from linguist
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Divergences from Linguist
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------------
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The `enry` library is based on the data from `github/linguist` version **v7.5.1**.
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The `enry` library is based on the data from `github/linguist` version **v7.9.0**.
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As opposed to linguist, `enry` [CLI tool](#cli) does *not* require a full Git repository in the filesystem in order to report languages.
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Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) the following `enry` results are different from linguist:
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Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) the following `enry` results are different from the Linguist:
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* [Heuristics for ".es" extension](https://github.com/github/linguist/blob/e761f9b013e5b61161481fcb898b59721ee40e3d/lib/linguist/heuristics.yml#L103) in JavaScript could not be parsed, due to unsupported backreference in RE2 regexp engine.
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@ -131,7 +154,7 @@ Parsing [linguist/samples](https://github.com/github/linguist/tree/master/sample
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* Overriding languages and types though `.gitattributes` is not yet supported. See [#18](https://github.com/src-d/enry/issues/18).
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* `enry` CLI output does NOT exclude `.gitignore`ed files and git submodules, as linguist does
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* `enry` CLI output does NOT exclude `.gitignore`ed files and git submodules, as Linguist does
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In all the cases above that have an issue number - we plan to update enry to match Linguist behavior.
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@ -148,7 +171,7 @@ We got these results:
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The histogram shows the _number of files_ (y-axis) per _time interval bucket_ (x-axis).
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Most of the files were detected faster by enry.
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There are several cases where enry is slower than linguist due to
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There are several cases where enry is slower than Linguist due to
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Go regexp engine being slower than Ruby's on, wich is based on [oniguruma](https://github.com/kkos/oniguruma) library, written in C.
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See [instructions](#misc) for running enry with oniguruma.
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@ -163,15 +186,12 @@ In the movie [My Fair Lady](https://en.wikipedia.org/wiki/My_Fair_Lady), [Profes
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## Development
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To build enry's CLI run:
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make build
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this will generate a binary in the project's root directory called `enry`.
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To run the tests use:
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make test
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go test ./...
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Setting `ENRY_TEST_REPO` to the path to existing checkout of Linguist will avoid cloning it and sepeed tests up.
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Setting `ENRY_DEBUG=1` will provide insight in the Bayesian classifier building done by `make code-generate`.
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### Sync with github/linguist upstream
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@ -184,7 +204,7 @@ $ git clone https://github.com/github/linguist.git .linguist
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$ cd .linguist; git checkout <release-tag>; cd ..
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# put the new release's commit sha in the generator_test.go (to re-generate .gold test fixtures)
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# https://github.com/bzz/enry/blob/13d3d66d37a87f23a013246a1b0678c9ee3d524b/internal/code-generator/generator/generator_test.go#L18
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# https://github.com/go-enry/go-enry/blob/13d3d66d37a87f23a013246a1b0678c9ee3d524b/internal/code-generator/generator/generator_test.go#L18
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$ make code-generate
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```
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@ -199,9 +219,9 @@ To stay in sync, enry needs to be updated when a new release of the linguist inc
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There is no automation for detecting the changes in the linguist project, so this process above has to be done manually from time to time.
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When submitting a pull request syncing up to a new release, please make sure it only contains the changes in
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the generated files (in [data](https://github.com/bzz/enry/blob/master/data) subdirectory).
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the generated files (in [data](https://github.com/go-enry/go-enry/blob/master/data) subdirectory).
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Separating all the necessary "manual" code changes to a different PR that includes some background description and an update to the documentation on ["divergences from linguist"](##divergences-from-linguist) is very much appreciated as it simplifies the maintenance (review/release notes/etc).
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Separating all the necessary "manual" code changes to a different PR that includes some background description and an update to the documentation on ["divergences from linguist"](#divergences-from-linguist) is very much appreciated as it simplifies the maintenance (review/release notes/etc).
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@ -212,7 +232,7 @@ Separating all the necessary "manual" code changes to a different PR that includ
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### Benchmark
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All benchmark scripts are in [*benchmarks*](https://github.com/bzz/enry/blob/master/benchmarks) directory.
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All benchmark scripts are in [*benchmarks*](https://github.com/go-enry/go-enry/blob/master/benchmarks) directory.
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#### Dependencies
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@ -225,16 +245,14 @@ As benchmarks depend on Ruby and Github-Linguist gem make sure you have:
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#### Quick benchmark
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To run quicker benchmarks you can either:
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To run quicker benchmarks
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make benchmarks
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to get average times for the main detection function and strategies for the whole samples set or:
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to get average times for the primary detection function and strategies for the whole samples set. If you want to see measures per sample file use:
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make benchmarks-samples
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if you want to see measures per sample file.
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#### Full benchmark
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If you want to reproduce the same benchmarks as reported above:
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@ -242,7 +260,7 @@ If you want to reproduce the same benchmarks as reported above:
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- Install [gnuplot](http://gnuplot.info) (in order to plot the histogram)
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- Run `ENRY_TEST_REPO="$PWD/.linguist" benchmarks/run.sh` (takes ~15h)
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It will run the benchmarks for enry and linguist, parse the output, create csv files and plot the histogram.
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It will run the benchmarks for enry and Linguist, parse the output, create csv files and plot the histogram.
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### Faster regexp engine (optional)
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