Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Explicitly specify the codecov token to be used (i.e., CODECOV_TOKEN), given that the latest v4 release of the codecov action requires it to be able to generate coverage reports.
Explicitly specify the codecov token to be used (i.e.,
CODECOV_TOKEN), given that the latest v4 release of the codecov action requires it to be able to generate coverage reports.