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parallelization of collecting LCIs in different background databases during preprocessing
dedicated postprocessing to visualize time-dependent emissions: implement cumulative radiative forcing (absolute GWP) for calculation and radiative forcing in result presentation
optimize runtime of pyomo model creation by using integer-based indexing for parameter dicts instead tuples and use reverse mapping for initialization
remove dependency on package dynamic_characterization to allow for self-defined characterization factors
ability for user to choose solver (besides Gurobi)
actually integrate CD/CI workflow
unit testing
standalone demonstration case study (linked with unit tests)
logging (loguru)
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The text was updated successfully, but these errors were encountered: