Enhance compatibility and improve Julia binary detection#570
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Enhance compatibility and improve Julia binary detection#570
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- Updated Project.toml to support multiple Julia versions (1.6 to 1.11) and PowerModels versions (0.19.6 to 0.21). - Added a function in powermodels_opf.py to find a suitable Julia binary, prioritizing julia1.11 and ensuring the version is >= 1.6. - Modified the pm_optimize function to utilize the detected Julia binary when starting the Julia process. - Introduced pytest.ini configuration file for improved testing setup.
CI: set GitHub Actions setup-julia to install Julia 1.11 on Linux. Julia diagnostics: add early startup prints in Main.jl and runtime __init__() prints in the eDisGo_OPF package to report Julia and PowerModels versions. Precompile safety: remove/avoid Pkg usage at precompile/top-level; implement safe, filesystem-based PowerModels version detection to prevent precompilation/activation errors. Launcher robustness: ensure Python OPF launcher uses the resolved absolute Julia binary (prefer julia1.11) to avoid manifest/activation mismatches across Julia installations. Tests: verified targeted OPF integration test passes when run with Julia 1.11; diagnostics now appear in process output to aid future debugging.
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Description
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Checklist:
pre-commithooks