Installation

pip install symident

Wheels are built for Linux (x86_64, aarch64, glibc 2.28 or newer; tested on Ubuntu, Debian and Fedora), macOS (x86_64, arm64) and Windows (x86_64), for Python 3.10 to 3.14. Elsewhere pip builds from source, which needs a C++17 compiler and CMake; with OpenMP the kernel runs on several threads. The development version installs with pip install git+https://github.com/dModverse/symident.

msolve

Steady-state analyses (equilibrate=True) whose resting state is a coupled nonlinear polynomial system use msolve. On Linux and macOS

import symident
symident.install_msolve()

downloads and builds msolve with GMP, MPFR and FLINT into a per-user cache (~/.cache/symident on Linux, ~/Library/Caches/symident on macOS, or SYMIDENT_CACHE). The build needs a C compiler, make, m4 and curl or wget, and takes a few minutes. symident then finds the build by itself.

msolve is looked up in this order: the environment variable SYMIDENT_MSOLVE, the builds of symident.install_msolve() in the cache, and msolve on the PATH if it is a tested version (0.10). Each candidate has to solve a test system. On Windows, install msolve by other means (e.g. MSYS2) and set SYMIDENT_MSOLVE.

Without msolve, models that need it stop with MsolveMissingError; all other analyses run without it.

From R

The R package dMod2 calls symident for symmetryDetection() and symmetryReduction() through reticulate and installs symident from this repository into reticulate’s Python environment on first use.