bw2calc.fast_scores

Classes

FastScoresOnlyMultiLCA

Use chunking and pre-calculate as much as possible to optimize speed for multiple LCA

Module Contents

class bw2calc.fast_scores.FastScoresOnlyMultiLCA(*args, chunk_size: int = 50, **kwargs)

Bases: bw2calc.multi_lca.MultiLCA, bw2calc.fast_supply_arrays.FastSupplyArraysMixin

Use chunking and pre-calculate as much as possible to optimize speed for multiple LCA calculations.

If using pardiso via pypardiso:

• Feed multiple demands at once as a tensor into the solver function

• Skip some identity checks on the technosphere matrix

_calculation() → xarray.DataArray

_get_scores() → xarray.DataArray

_load_datapackages() → None

_set_scores(arr: xarray.DataArray) → None

build_precalculated() → None

Multiply the characterization, and normalization and weighting matrices if present, by the biosphere matrix. When done outside the calculation loop, this only needs to be done once.

calculate() → xarray.DataArray

The actual LCI calculation.

Separated from lci to be reusable in cases where the matrices are already built, e.g. redo_lci and Monte Carlo classes.

abstractmethod lci() → None

abstractmethod lci_calculation() → None

abstractmethod lcia() → None

abstractmethod lcia_calculation() → None

scores