Package algos-py
What is algos-py?
This package contains implementations of some classic computer science algorithms. My main goal is to understand these algorithms and the best way to do that is to implement them myself.
Along the way I practice test driven development (with pytest), continuous integration (with travis and appveyor), coverage tracking (with coveralls and codecov), version control (with git, github and gitlab), documentation (with sphinx and readthedocs) and a lot more.
How to test?
To run all of the unit-tests:
$ pytest -n 2To run unit-tests for a specific module:
$ pytest ./tests/test_heap.pyTo run all the unit-tests and produce a coverage report:
$ pytest -n 2 --cov=srcWhere to find?
Primary repository:
https://github.com/algos-all/algos-py
Secondary (mirror) repository:
https://gitlab.com/alisianoi/algos-py
Release procedure:
$ # change version in setup.py
$ git add setup.py
$ git commit -m "Bump version to 1.0.0"
$ git tag v1.0.0
$ git push github main && git push github --tags
$ git push gitlab main && git push gitlab --tags
$ pip install --upgrade wheel
$ python setup.py bdist_wheel
$ pip install --upgrade twine
$ twine check ./dist/algos_py-1.0.0-py3-none-any.whl
$ twine upload ./dist/algos_py-1.0.0-py3-none-any.whl
Release files for algos-py 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| algos_py-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / algos_py-0.5.1-py3-none-any.whl
| Download URL | algos_py-0.5.1-py3-none-any.whl |
|---|---|
| Size | 37.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b909ed3d6c5a1d8fa9f25d7d250dc282057f044a369e834a9edd1486d65026c2
|
|
BLAKE2b-256 checksum How to use checksums |
e56515bd453ae936f233ff25fe2ab093cff930db3687d503e1a88023773e1f76
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.5
|
Security for algos-py 0.5.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
