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Data should be processed to be in the correct form, and then fed into create_presamples_package.
Status: Done
Status: Done. See examples in kronecker_delta and fixed_sum.
Status: Not started. Should be a model in bw_presamples (for both static and stochastic presamples).
Input is a dictionary of parameters; output is a presamples package with only parameter presamples. Should also be able to use existing presamples as fixed (global_params in ParameterSet).
Status: Not stated, but not difficult. Needs a wrapper around ParameterSet.
Note: Have to think about broadcasting - probably need some helper functions to make sure that intermediate and final results are always returned in the same shape. This means that each parameter formula must return a scalar, which seems like a reasonable restriction.
Status: Not started. Waiting on design decisions for presample loading from bw2data and automatic name mangling.
Status: Not started. Waiting on design decisions for presample loading from bw2data and automatic name mangling.
Our presamples format is machine- and project-specific. In a generic format, we would store metadata about matrix parameters that would give the input and output keys, in addition to mapping integer ids.
Status: Not started