mirror of
https://github.com/ralsina/tartrazine.git
synced 2025-05-24 08:18:52 -03:00
doc: code review feedback
Signed-off-by: Alexander Bezzubov <bzz@apache.org>
This commit is contained in:
parent
85641846f8
commit
e1fbfaea60
26
README.md
26
README.md
@ -152,22 +152,20 @@ Note that enry's CLI **_doesn't need a git repository to work_**, which is inten
|
|||||||
## Java bindings
|
## Java bindings
|
||||||
|
|
||||||
|
|
||||||
Generated Java bindings using a C-shared library and JNI are available under [`java`](https://github.com/src-d/enry/blob/master/java) and published on Maven at [tech.sourced:enry-java](https://mvnrepository.com/artifact/tech.sourced/enry-java) for macOS and linux.
|
Generated Java bindings using a C shared library and JNI are available under [`java`](https://github.com/src-d/enry/blob/master/java) and published on Maven at [tech.sourced:enry-java](https://mvnrepository.com/artifact/tech.sourced/enry-java) for macOS and linux.
|
||||||
|
|
||||||
|
|
||||||
## Python bindings
|
## Python bindings
|
||||||
|
Generated Python bindings using a C shared library and cffi are not available yet and are WIP under [src-d/enry#154](https://github.com/src-d/enry/issues/154).
|
||||||
Generated Python bindings using a C-shared library and cffi are not available yet and are WIP under [src-d/enry#154](https://github.com/src-d/enry/issues/154).
|
|
||||||
|
|
||||||
|
|
||||||
Divergences from linguist
|
Divergences from linguist
|
||||||
------------
|
------------
|
||||||
|
|
||||||
`enry` library is based on the data from `github/linguist` version **v7.2.0**.
|
The `enry` library is based on the data from `github/linguist` version **v7.2.0**.
|
||||||
|
|
||||||
As opposed to linguist, `enry` [CLI tool](#cli) does *not* require a full Git repository in the filesystem in order to report languages.
|
As opposed to linguist, `enry` [CLI tool](#cli) does *not* require a full Git repository in the filesystem in order to report languages.
|
||||||
|
|
||||||
Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) next enry results are different from the linguist:
|
Parsing [linguist/samples](https://github.com/github/linguist/tree/master/samples) the following `enry` results are different from linguist:
|
||||||
|
|
||||||
* [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.
|
* [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.
|
||||||
|
|
||||||
@ -209,8 +207,7 @@ Why Enry?
|
|||||||
|
|
||||||
In the movie [My Fair Lady](https://en.wikipedia.org/wiki/My_Fair_Lady), [Professor Henry Higgins](http://www.imdb.com/character/ch0011719/?ref_=tt_cl_t2) is one of the main characters. Henry is a linguist and at the very beginning of the movie enjoys guessing the origin of people based on their accent.
|
In the movie [My Fair Lady](https://en.wikipedia.org/wiki/My_Fair_Lady), [Professor Henry Higgins](http://www.imdb.com/character/ch0011719/?ref_=tt_cl_t2) is one of the main characters. Henry is a linguist and at the very beginning of the movie enjoys guessing the origin of people based on their accent.
|
||||||
|
|
||||||
`Enry Iggins` is how [Eliza Doolittle](http://www.imdb.com/character/ch0011720/?ref_=tt_cl_t1), [pronounces](https://www.youtube.com/watch?v=pwNKyTktDIE) the name of the Professor during the first half of the movie.
|
"Enry Iggins" is how [Eliza Doolittle](http://www.imdb.com/character/ch0011720/?ref_=tt_cl_t1), [pronounces](https://www.youtube.com/watch?v=pwNKyTktDIE) the name of the Professor during the first half of the movie.
|
||||||
|
|
||||||
|
|
||||||
## Development
|
## Development
|
||||||
|
|
||||||
@ -230,12 +227,15 @@ To run the tests:
|
|||||||
*enry* re-uses parts of the original [github/linguist](https://github.com/github/linguist) to generate internal data structures.
|
*enry* re-uses parts of the original [github/linguist](https://github.com/github/linguist) to generate internal data structures.
|
||||||
In order to update to the latest release of linguist do:
|
In order to update to the latest release of linguist do:
|
||||||
|
|
||||||
git clone https://github.com/github/linguist.git .linguist
|
```bash
|
||||||
|
$ git clone https://github.com/github/linguist.git .linguist
|
||||||
|
$ cd .linguist; git checkout <release-tag>; cd ..
|
||||||
|
|
||||||
# put the new release's commit sha in the generator_test.go (to re-generate .gold test fixtures)
|
# put the new release's commit sha in the generator_test.go (to re-generate .gold test fixtures)
|
||||||
# https://github.com/src-d/enry/blob/13d3d66d37a87f23a013246a1b0678c9ee3d524b/internal/code-generator/generator/generator_test.go#L18
|
# https://github.com/src-d/enry/blob/13d3d66d37a87f23a013246a1b0678c9ee3d524b/internal/code-generator/generator/generator_test.go#L18
|
||||||
|
|
||||||
make code-generate
|
$ make code-generate
|
||||||
|
```
|
||||||
|
|
||||||
To stay in sync, enry needs to be updated when a new release of the linguist includes changes to any of the following files:
|
To stay in sync, enry needs to be updated when a new release of the linguist includes changes to any of the following files:
|
||||||
|
|
||||||
@ -297,7 +297,7 @@ It will run the benchmarks for enry and linguist, parse the output, create csv f
|
|||||||
It is very fast and performs better than the one built into Go runtime. *enry* supports swapping
|
It is very fast and performs better than the one built into Go runtime. *enry* supports swapping
|
||||||
between those two engines thanks to [rubex](https://github.com/moovweb/rubex) project.
|
between those two engines thanks to [rubex](https://github.com/moovweb/rubex) project.
|
||||||
The typical overall speedup from using Oniguruma is 1.5-2x. However, it requires CGo and the external shared library.
|
The typical overall speedup from using Oniguruma is 1.5-2x. However, it requires CGo and the external shared library.
|
||||||
On macOS with brew, it is
|
On macOS with [Homebrew](https://brew.sh/), it is:
|
||||||
|
|
||||||
```
|
```
|
||||||
brew install oniguruma
|
brew install oniguruma
|
||||||
|
Loading…
x
Reference in New Issue
Block a user