DerivationTree: An Efficient, Trie-Based Derivation Tree Implementation
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Build, Run, Install
DerivationTree requires Python 3.10.
Install
Usually, a simple pip install derivationtree should suffice.
We recommend installing DerivationTree inside a virtual environment (virtualenv):
python3.10 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install derivationtree
Build
DerivationTree is built locally as follows:
git clone https://github.com/rindPHI/derivationtree.git
cd derivationtree/
python3.10 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install --upgrade build
python3 -m build
Then, you will find the built wheel (*.whl) in the dist/ directory.
Testing & Development
For development, we recommend using DerivationTree inside a virtual environment ( virtualenv). By thing the following steps in a standard shell (bash), one can run the ISLa tests:
git clone https://github.com/rindPHI/derivationtree.git
cd derivationtree/
python3.10 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install -r requirements_test.txt
# Run tests
pip install -e .[dev,test]
python3 -m pytest tests
Changelog
See CHANGELOG.md.
Copyright, Authors and License
Copyright © 2022 CISPA Helmholtz Center for Information Security.
The DerivationTree code and documentation was, unless otherwise indicated, authored by Dominic Steinhöfel.
DerivationTree is released under the GNU General Public License v3.0 ( see COPYING).
Metadata
Release files for derivationtree 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| derivationtree-0.4.3.tar.gz | 11.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| derivationtree-0.4.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.2 kB
Release files / derivationtree-0.4.3.tar.gz
| Download URL | derivationtree-0.4.3.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
3b0df3019e08f4e59e37cd66192e71aaed04789ae09e7e26a2eac5b12bff23a9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
Release files / derivationtree-0.4.3-py3-none-any.whl
| Download URL | derivationtree-0.4.3-py3-none-any.whl |
|---|---|
| Size | 10.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
aadbce69e3b6943a6e7742d55e95d368505e9b556a73e4b6925c5cb6392d45d6
|
|
BLAKE2b-256 checksum How to use checksums |
102865c9eb9571e42987a1e86145d1dc615c49e0c94fa5aebbb07c78db219b29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
Security for derivationtree 0.4.3
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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