Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
.. image:: http://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat :target: https://gitlab.com/modulispaces/admcycles/builds/artifacts/master/browse/.asv/html?job=benchmark
admcycles is a SageMath <https://www.sagemath.org>
_ module to compute with
the tautological ring of the moduli spaces of complex curves. You can install
it on top of a SageMath installation on your computer (see the instructions
below). You can alternatively use one of the online services below that have
admcycles already installed:
SageMathCell <https://sagecell.sagemath.org/>
_: An online service for
SageMath computations that does not require authentification.
CoCalc <https://cocalc.com/>
_: A complete computation environment that
offers a free plan subscription (with limited resources).
admcycles includes the SageMath <https://www.sagemath.org>
_ module diffstrata
to compute with the tautological ring of the moduli space of multi-scale
differentials, a compactification of strata of flat surfaces. It is particularly
tailored towards computing Euler characteristics of these spaces.
Detailed information on the package is contained in the documents
admcycles -- a Sage package for calculations in the tautological ring of the moduli space of stable curves [arXiv:2002.01709] <https://arxiv.org/abs/2002.01709>
_diffstrata -- a Sage package for calculations in the tautological ring of the moduli space of Abelian differentials [arXiv:2006.12815] <https://arxiv.org/abs/2006.12815>
_online documentation <https://modulispaces.gitlab.io/admcycles/>
_NEW: Online database with tautological relations (Feb 2023)
The latest version of admcycles includes an automated online lookup <https://gitlab.com/modulispaces/relations-database>
_ of pre-calculated tautological relations (see the list of available cases <https://modulispaces.gitlab.io/relations-database/index.html>
_).
By default, if you attempt a calculation that needs tautological relations, the program will first try to look them up in your local storage (in the folder .sage/admcycles
). If not found there, the program will check the above database and download the relations to your computer in case they are available. If this fails as well, the program will then calculate the relations itself.
If you would like to deactivate this online lookup, execute the following lines in a Sage session::
sage: from admcycles.admcycles import set_online_lookup_default
sage: set_online_lookup_default(False)
If you have calculated and stored relations that are not yet in our database, we would be happy if you reach out so we can integrate them!
Prerequisites ^^^^^^^^^^^^^
Make sure that SageMath <https://www.sagemath.org>
_ version 9.0 or later
is installed on your computer. Detailed installation instructions for
different operating systems are available here <http://doc.sagemath.org/html/en/installation/binary.html>
_ and on the
SageMath website. If you need to use admcycles with an older version of SageMath,
use admcycles version 1.3.2 <https://pypi.org/project/admcycles/1.3.2/>
_.
All the command below must be run inside a console (the last character of the
prompt is usally a $
). On Windows this is called SageMath Shell
while
on linux and MacOS this is often referred to as a terminal
.
Inside the console, we assume that the command sage
launches a Sage
session (whose prompt is usually sage:
). To quit the Sage session
type quit
and press Enter
.
Installation with pip (the Python package manager) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The most convenient way to use admcycles is to add the package to your
Sage installation. The exact procedure for this depends on your operating
system and how you installed Sage. If the pip installation fails, see
the sections Manual installation with pip
or Use without installation
below.
If you manually installed Sage by downloading it from the website, then run in a shell console::
$ sage -pip install admcycles --user
Here, the --user
is an optional argument to pip
which, when
provided, will install admcycles not inside the Sage folder but in your home
directory.
If you have a linux distribution and installed the sagemath package via your package manager then run in a shell console::
$ pip install admcycles --user
The pip
command above might have to be changed to pip2
or pip3
depending on your system. Also, on Debian/Ubuntu systems, the following step
might be necessary before running the above command::
$ source /usr/share/sagemath/bin/sage-env
Manual installation with pip ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The automatic installation with pip from Section Installation with pip
might
fail. One common reason is the lack of SSL support of the SageMath binaries. In
such situation you can follow the procedure below that bypass the connection of
pip
to the web.
Download the admcycles package as a tar.gz
-file or .zip
file either from PyPI <https://pypi.org/project/admcycles/>
_ or from gitlab <https://gitlab.com/modulispaces/admcycles/-/archive/master/admcycles-master.tar.gz>
__.
Inside a shell console run::
$ sage -pip install /where/is/the/package.tar.gz --user
Here, the --user
is an optional argument to pip
which, when
provided, will install admcycles not inside the Sage folder but in your home
directory.
Installation of the development version ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
If you want to install the development version, you need to have the
versioning software git
installed. The only change in the procedure
is to replace admcycles
in the any of the command above by
git+https://gitlab.com/modulispaces/admcycles
.
Upgrade ^^^^^^^
If you have already installed admcycles and a new version appears on PyPI, you
can update your installation by appending the option --upgrade
above.
Use without installation ^^^^^^^^^^^^^^^^^^^^^^^^
To use the package without installing, download the package as a .zip
or
.tar.gz
-file either from PyPI <https://pypi.org/project/admcycles/>
_ or
from gitlab <https://gitlab.com/modulispaces/admcycles/-/archive/master/admcycles-master.zip>
__.
Unpack the .zip
or .tar.gz
file. This creates a folder which should
contain a file setup.py
. In order to use the
module, you need to run Sage from this folder. For example, if the full path of
this folder is /u/You/Downloads/admcycles
, you could do::
$ cd /u/You/Downloads/admcycles
$ sage
Or directly inside a Sage session::
sage: cd /u/You/Downloads/admcycles
If you run Sage in Windows using cygwin, the path above should be a cygwin path
and will looks something like
/cygdrive/c/Users/You/Downloads/admcycles-master
.
To start using admcycles, start a Sage session (either in the command line, or a Jupyter notebook, or inside one of the online services). Then type::
sage: from admcycles import *
To try a first computation, you can compute the degree of the class kappa_1 on Mbar_{1,1} by::
sage: kappaclass(1,1,1).evaluate()
1/24
You can have a look at the above computation directly in SageMathCell <https://sagecell.sagemath.org/?z=eJxLK8rPVUhMyU2uTM5JLVbIzC3ILypR0OLlyk4sKEhMzkksLtYw1FEAIU291LLEnNLEklQNTQAYbhIb&lang=sage&interacts=eJyLjgUAARUAuQ==>
__.
Here is a more advanced computation::
sage: t1 = 3*sepbdiv(1,(1,2),3,4) - psiclass(4,3,4)^2
sage: t1
Graph : [1, 2] [[1, 2, 5], [3, 4, 6]] [(5, 6)]
Polynomial : 3*
<BLANKLINE>
Graph : [3] [[1, 2, 3, 4]] []
Polynomial : (-1)*psi_4^2
To use diffstrata, the package must be imported separately. Type::
sage: from admcycles.diffstrata import *
To try a first computation, you can compute the Euler characteristic of the minimal stratum H(2) in genus 2::
sage: X = Stratum((2,))
sage: X.euler_characteristic()
-1/40
Here is a more advanced computation::
sage: X = Stratum((1,1))
sage: (X.xi^2 * X.psi(1) * X.psi(2)).evaluate()
-1/720
The documentation is available online at https://modulispaces.gitlab.io/admcycles/
You can alternatively build the documentation as follows. Go in the repository docs/ and then run in a console::
$ sage -sh
(sage-sh)$ make html
(sage-sh)$ exit
The documentation is then available in the folder docs/build/html/. Note that you
need the package nbsphinx <https://nbsphinx.readthedocs.io/en/0.8.12/>
_ to compile
the full documentation including the example Jupyter notebooks. On most systems, you
should be able to install nbsphinx by typing::
$ sage -pip install nbsphinx
To run doctests, use the following command::
$ sage -t --force-lib admcycles/ docs/source
If it succeeds, you should see a message::
All tests passed!
admcycles is distributed under the terms of the GNU General Public License (GPL) published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See http://www.gnu.org/licenses/.
Aaron Pixton <http://www-personal.umich.edu/~pixton/>
_Johannes Schmitt <http://www.math.uni-bonn.de/~schmitt/>
_Vincent Delecroix <http://www.labri.fr/perso/vdelecro/>
_Jason van Zelm <https://sites.google.com/view/jasonvanzelm>
_Jonathan Zachhuber <https://www.uni-frankfurt.de/50278800>
_Johannes Schmitt was supported by the grant SNF-200020162928 and has received funding from the European Research Council (ERC) under the European Union Horizon 2020 research and innovation programme (grant agreement No 786580). He also profited from the SNF Early Postdoc.Mobility grant 184245 and also wants to thank the Max Planck Institute for Mathematics in Bonn for its hospitality. Vincent Delecroix was a guest of the Max-Planck Institut and then of the Hausdorff Institut for Mathematics during the development of the project. Jason van Zelm was supported by the Einstein Foundation Berlin during the course of this work.
FAQs
Tautological ring on Mbar_g,n
We found that admcycles demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.