Introduction
This Project implements privacy quantification in process mining.
Python package
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install p-privacy-qt
Usage
Check the main files in the root directory to see the usage.
1 maintainer
Release files for p-privacy-qt 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| p_privacy_qt-0.0.10.tar.gz | 8.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| p_privacy_qt-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.2 kB
Release files / p_privacy_qt-0.0.10.tar.gz
| Download URL | p_privacy_qt-0.0.10.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.2.0 pkginfo/1.4.2 requests/2.25.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.6.5
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Release files / p_privacy_qt-0.0.10-py3-none-any.whl
| Download URL | p_privacy_qt-0.0.10-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.4.2 requests/2.25.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.6.5
|
