Science Score: 67.0%
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Low similarity (9.8%) to scientific vocabulary
Keywords
Repository
A Python Interface & Extension to Singular
Basic Info
- Host: GitHub
- Owner: GDeLaurentis
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Homepage: https://gdelaurentis.github.io/syngular/
- Size: 5.3 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 12
Topics
Metadata Files
README.md
A Python Interface & Extension to Singular
The syngular library is a Python 3 package for algebraic geometry computations. It provides an intuitive and object-oriented interface to Singular. Furthermore, it extends the numerical capabilities of Singular, providing a numerical solver for arbitrary systems of polynomial equations in tandem with pyadic, and its applicaibility to physics computations, where generic algorithms may be insufficient.
Interface
Python classes for 'Ideal', 'Ring' and 'QuotientRing'. Several related functions accessible as attributes or methods. Intuitive operations through magic methods, e.g. Ideal addition '+' and intersection '&'.
Extension
Multivariate solver - i.e. points on varieties over $\mathbb{F}p$, $\mathbb{Q}p$ and $\mathbb{C}$.
The function ideal.point_on_variety allows to obtain numerical solutions to arbirary systems of polynomial equations in arbitrary polynomial (quotient) rings, over any of the three above mentioned fields. The system of equations may be underconstrained, i.e. the ideal may have any dimension. The $p$-adic and complex solutions can be requested as not exact, meaning the point may lie close to but not exactly on the associated variety. This is essential for numerical computations where otherwise division-by-zero erros may occur when using exact solutions. The limitation is that Singular must be able to compute an indepednent set for the semi-numerical ideals of low dimension.
Primality test (lighter than a primary decomposition).
The function ideal.test_primality allows to test whether an ideal is prime, primary or neither, without performing a full primary decomposition. The algorithm can run also with successively looser degree bounds. It returns True if the idea is prime, False if it is not, or raises an Inconclusive exception if it cannot decide. If astuple is True, then it will return two booleans: (is_primary, is_prime). Inconclusive cases should now only happen with a Timeout on the computation.
Requirements
numpy, sympy, Singular
Installation
bash
pip install -e path/to/repo
Testing
pytest --cov syngular/ --cov-report html tests/ --verbose
Quick Start
Define an ideal over a ring in two variables
python
from syngular import Ideal, Ring
I = Ideal(Ring('0', ('x1', 'x2'), 'dp'), ['x1*x2'])
You can now inspect I to see what methods and attributes are available.
Solving arbitrary systems of polynomial equations
Generate a $p$-adic solution to a system of 2 polynomial equations in 3 variables, controlling the precision to which they are solved.
python
field = Field("padic", 2 ** 31 - 1, 8)
ring = Ring('0', ('x', 'y', 'z', ), 'dp')
I = Ideal(ring, ['x*y^2+y^3-z^2', 'x^3+y^3-z^2', ])
The variety associated to I has 3 branches. In other words, the system of equations has 3 types of solutions.
python
(Q1, P1), (Q2, P2), (Q3, P3) = I.primary_decomposition
Generate a solution on the first branch
python
numerical_point = Q1.point_on_variety(field=field, directions=I.generators, valuations=(1, 1, ), )
is a dictionary of numerical values for each variable in the ring.
These are small with valuations (1, 1)
python
list(map(lambda string: Polynomial(string, field).subs(numerical_point), Q1.generators))
while these are O(1) with valuations (0, 0)
python
list(map(lambda string: Polynomial(string, field).subs(numerical_point), Q2.generators))
See arXiv:2207.10125 Fig. 1 for a graphical depiction.
Citation
If you found this library useful, please consider citing it and Singular
bibtex
@inproceedings{DeLaurentis:2023qhd,
author = "De Laurentis, Giuseppe",
title = "{Lips: $p$-adic and singular phase space}",
booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
eprint = "2305.14075",
archivePrefix = "arXiv",
primaryClass = "hep-th",
reportNumber = "PSI-PR-23-14",
month = "5",
year = "2023"
}
bibtex
@misc {DGPS,
title = {{\sc Singular} {4-3-0} --- {A} computer algebra system for polynomial computations},
author = {Decker, Wolfram and Greuel, Gert-Martin and Pfister, Gerhard and Sch\"onemann, Hans},
year = {2022},
howpublished = {\url{http://www.singular.uni-kl.de}},
}
Owner
- Name: Giuseppe DeLaurentis
- Login: GDeLaurentis
- Kind: user
- Location: Villigen, CH
- Company: Paul Scherrer Institut (PSI)
- Website: https://gdelaurentis.github.io/
- Repositories: 4
- Profile: https://github.com/GDeLaurentis
Citation (CITATION.bib)
@inproceedings{DeLaurentis:2023qhd,
author = "De Laurentis, Giuseppe",
title = "{Lips: $p$-adic and singular phase space}",
booktitle = "{21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research}: {AI meets Reality}",
eprint = "2305.14075",
archivePrefix = "arXiv",
primaryClass = "hep-th",
reportNumber = "PSI-PR-23-14",
month = "5",
year = "2023"
}
@misc {DGPS,
title = {{\sc Singular} {4-3-0} --- {A} computer algebra system for polynomial computations},
author = {Decker, Wolfram and Greuel, Gert-Martin and Pfister, Gerhard and Sch\"onemann, Hans},
year = {2022},
howpublished = {\url{http://www.singular.uni-kl.de}},
}
GitHub Events
Total
- Release event: 6
- Push event: 91
- Create event: 6
Last Year
- Release event: 6
- Push event: 91
- Create event: 6
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 37
- Total Committers: 2
- Avg Commits per committer: 18.5
- Development Distribution Score (DDS): 0.135
Top Committers
| Name | Commits | |
|---|---|---|
| Giuseppe De Laurentis | g****l@h****t | 32 |
| GDeLaurentis | G****s@u****m | 5 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Packages
- Total packages: 1
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Total downloads:
- pypi 288 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 17
- Total maintainers: 1
pypi.org: syngular
An Object-Oriented Python Interface and Extension to Singular
- Homepage: https://github.com/GDeLaurentis/syngular
- Documentation: https://gdelaurentis.github.io/syngular/
- License: GNU General Public License v3.0
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Latest release: 0.5.1
published 9 months ago
Rankings
Maintainers (1)
Dependencies
- mutableint *
- numpy *
- sympy *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- stefanzweifel/git-auto-commit-action v4 composite