Preprocessing
Installation
We use conda as an environment manager and poetry as dependency manager.
- Generate a conda env First, create and activate a basic conda env from the env_prep.yml file.
Run
conda env create -f ./env/env_prep.yml
then
conda activate env_prep
NB: it can be good to change the conda name env into env_basic_conda.yml file.
- Install poetry and package dependencies
To install package dependencies with poetry,
poetry install
To update package dependencies,
poetry update
Testing
For running all the tests:
poetry run pytest
For running a specific test:
poetry run pytest path/my_test
See test coverage : [TO COMPLETE]
Preprocessing pipeline
Good pratices
PEP8
Use the pep8 norm to format all the code. Specific pep8 parameters are given into the pyproject.toml file.
autopep8 --in-place --aggressive --aggressive ./
FLAKE8
[TO COMPLETE]
1 maintainer
Metadata
1 maintainer
Release files for filtering-pipeline 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| filtering_pipeline-0.2.2.tar.gz | 5.6 kB | Without provenance | Details for filtering_pipeline-0.2.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| filtering_pipeline-0.2.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for filtering_pipeline-0.2.2-py2.py3-none-any.whl |
Total release size: 13.7 kB
Release files / filtering_pipeline-0.2.2.tar.gz
| Download URL | filtering_pipeline-0.2.2.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.9.15
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Release files / filtering_pipeline-0.2.2-py2.py3-none-any.whl
| Download URL | filtering_pipeline-0.2.2-py2.py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
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Security for filtering-pipeline 0.2.2
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