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edsnlp.pipelines.qualifiers.hypothesis.factory

DEFAULT_CONFIG = dict(pseudo=None, preceding=None, following=None, termination=None, verbs_hyp=None, verbs_eds=None, attr='NORM', on_ents_only=True, within_ents=False, explain=False) module-attribute

create_component(nlp, name, attr, pseudo, preceding, following, termination, verbs_eds, verbs_hyp, on_ents_only, within_ents, explain)

Source code in edsnlp/pipelines/qualifiers/hypothesis/factory.py 
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@deprecated_factory("hypothesis", "eds.hypothesis", default_config=DEFAULT_CONFIG)
@Language.factory("eds.hypothesis", default_config=DEFAULT_CONFIG)
def create_component(
    nlp: Language,
    name: str,
    attr: str,
    pseudo: Optional[List[str]],
    preceding: Optional[List[str]],
    following: Optional[List[str]],
    termination: Optional[List[str]],
    verbs_eds: Optional[List[str]],
    verbs_hyp: Optional[List[str]],
    on_ents_only: bool,
    within_ents: bool,
    explain: bool,
):
    return Hypothesis(
        nlp=nlp,
        attr=attr,
        pseudo=pseudo,
        preceding=preceding,
        following=following,
        termination=termination,
        verbs_eds=verbs_eds,
        verbs_hyp=verbs_hyp,
        on_ents_only=on_ents_only,
        within_ents=within_ents,
        explain=explain,
    )