bw2calc.method_config

Module Contents

Classes

MethodConfig

A class that stores the logical relationships between impact categories, normalization, and

class bw2calc.method_config.MethodConfig

Bases: pydantic.BaseModel

A class that stores the logical relationships between impact categories, normalization, and weighting.

The basic object in all three categories is an identifying tuple, i.e. tuples of strings. These tuples have no length restrictions.

impact_categories is a list of identifying tuples.

normalizations link normalization factors to impact categories. They are optional. If provided, they take the form of a dictionary, with keys of identifying tuples, and values of lists of identifying tuples. They keys identify the normalization data, and the values refer to impact categories.

If normalizations is defined, all impact categories must have a normalization.

weightings link weighting factors to either normalizations or impact categories. They are optional. If provided, they take the form of a dictionary, with keys of identifying tuples, and values of lists of identifying tuples. They keys identify the weighting data, and the values refer to either impact categories or normalizations - mixing impact categories and normalizations is not allowed.

If normalizations is defined, all impact categories or normalizations must have a weighting.

The identifying tuples for impact_categories, normalizations, and weightings must all be unique.

Example

```python {

“impact_categories”: [

(“climate change”, “100 years”), (“climate change”, “20 years”), (“eutrophication”,),

], “normalizations”: {

(“climate change”, “global normalization”): [

(“climate change”, “100 years”), (“climate change”, “20 years”),

], (“eut european reference”, “1990”): [

(“eutrophication”,),

]

}, “weightings”: {

(“climate change”, “bad”): [

(“climate change”, “global normalization”)

], (“eutrophication”, “also bad”): [

(“eut european reference”, “1990”)

]

}

}

impact_categories: Sequence[tuple[str, Ellipsis]]

normalizations: dict[tuple[str, Ellipsis], list[tuple[str, Ellipsis]]] | None

weightings: dict[tuple[str, Ellipsis], list[tuple[str, Ellipsis]]] | None

normalizations_cover_all_impact_categories()

normalizations_reference_impact_categories()

normalizations_unique_from_impact_categories()

weightings_cant_have_mixed_references()

weightings_cover_all_impact_categories()

weightings_cover_all_normalizations()

weightings_reference_impact_categories_or_normalizations()

weightings_unique_from_impact_categories()

weightings_unique_from_normalizations()