A performance bound solver for Probabilistic Timed Petri Nets
The solver computes:
1. Transitions maximum throughput bound
2. Transitions minimum cycle times (in case of live nets) and identifies the slowest subnet.
The computation is performed using Linear Programming techniques.
Metadata
Release files for PTPNperfbound 0.0.1
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 | Actions |
|---|---|---|---|---|
| ptpnperfbound-0.0.1.tar.gz | 24.6 kB | Without provenance | Details for ptpnperfbound-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| PTPNperfbound-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for PTPNperfbound-0.0.1-py3-none-any.whl |
Total release size: 50.9 kB
Release files / ptpnperfbound-0.0.1.tar.gz
| Download URL | ptpnperfbound-0.0.1.tar.gz |
|---|---|
| Size | 24.6 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.4
|
Release files / PTPNperfbound-0.0.1-py3-none-any.whl
| Download URL | PTPNperfbound-0.0.1-py3-none-any.whl |
|---|---|
| Size | 26.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f485bc98c66a04b0e157413ec5271751b5c56d8a7b77c15eabd88199c34d3eb6
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.4
|
Security for PTPNperfbound 0.0.1
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