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edsnlp.pipelines.ner.adicap.models

AdicapCode

Bases: BaseModel

Source code in edsnlp/pipelines/ner/adicap/models.py 
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class AdicapCode(BaseModel):
    code: str
    sampling: Optional[str]
    technic: Optional[str]
    organ: Optional[str]
    non_tumoral_pathology: Optional[str]
    tumoral_pathology: Optional[str]
    behaviour_type: Optional[str]

    def norm(self) -> str:
        return self.code

    def __str__(self):
        return self.norm()

code: str = None class-attribute

sampling: Optional[str] = None class-attribute

technic: Optional[str] = None class-attribute

organ: Optional[str] = None class-attribute

non_tumoral_pathology: Optional[str] = None class-attribute

tumoral_pathology: Optional[str] = None class-attribute

behaviour_type: Optional[str] = None class-attribute

norm()

Source code in edsnlp/pipelines/ner/adicap/models.py 
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def norm(self) -> str:
    return self.code

__str__()

Source code in edsnlp/pipelines/ner/adicap/models.py 
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def __str__(self):
    return self.norm()