Comments (7)
rock
from lima.
Does it take so much place and time ? The only dependency it has is Qt which is already a dependency of the remaining.
We could save a few megabytes and a few seconds of build but is it worth the effort ?
from lima.
If we don't want to build with lima_gui, we can then build without the following packages:
- mesa-common-dev
- libgl1-mesa-dev
- libglu1-mesa-dev
- qml-module-qt-labs-folderlistmodel
- qml-module-qt-labs-settings
Don't forget their dependencies : xserver etc.
This is a huge gain when we need only lima as a library in another application or in a webservice
from lima.
OK then. But let's make it not the default. I want that default builds/packages of lima are usable for the normal human being,
e.g. a linguist under Windows.
from lima.
"let's make it not the default." yes, that's the way I implemented it.
See commit 2375d78
from lima.
Dammit, it is effectively impossible to install Qt5 from apt without libxbc (the C binding to X). This means that nearly nothing can be saved when trying to avoid X-server installation in a docker container complied for Lima.
Hence, the only place saved is the binary executable test_gui / lima_gui if its compilation is disabled when building a standard no-gui web-service in a docker container.
from lima.
If you really need to save space, you can build your own Qt and select the needed modules only.
from lima.
Related Issues (20)
- Error with AnalyzeText command HOT 6
- Error with pipelines HOT 2
- tvx tests silently fail during GitHub Actions build
- Pb with the TL;DR HOT 3
- Wrong interpretation of xml files analysis configuration HOT 3
- [refactoring] Factories should produce shared pointers instead of raw ones HOT 1
- Deeplima dp train: The list of expected tasks should not be hard-coded
- Add models to docker HOT 3
- Should provide a `docker-compose.yml` file and doc
- lima_models.py bug with zho-simp HOT 18
- Should implement the evaluate method for deeplima lemmatization training
- Should print plugin login failure message when in error HOT 2
- Build fails because svm_light is no longer available HOT 1
- Should be able to create pipeline at runtime HOT 4
- Should be able to add a pipeline unit at a given place
- Should be able to create new pipelines
- Should be able to remove a pipeline unit from a pipeline
- If using the same tokenizer instance, deeplima tokenizer blocks on second file HOT 1
- When deeplima is executed on a short file with tokenizer+tagger, it produces no output HOT 2
- When using deelima backend, pos tags from first text are reused for the following ones HOT 1
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from lima.