DeanonymizerMapping#

class langchain_experimental.data_anonymizer.deanonymizer_mapping.DeanonymizerMapping(
mapping: ~typing.Dict[str,
~typing.Dict[str,
str]] = <factory>,
)[source]#

Deanonymizer mapping.

Attributes

data

Return the deanonymizer mapping.

Methods

__init__([mapping])

update(new_mapping)

Update the deanonymizer mapping with new values.
Parameters:

mapping (Dict[str, Dict[str, str]])

__init__(
mapping: ~typing.Dict[str,
~typing.Dict[str,
str]] = <factory>,
) → None#
Parameters:

mapping (Dict[str, Dict[str, str]])

Return type:

None

update(
new_mapping: Dict[str, Dict[str, str]],
) → None[source]#

Update the deanonymizer mapping with new values.

Duplicated values will not be added If there are multiple entities of the same type, the mapping will include a count to differentiate them. For example, if there are two names in the input text, the mapping will include NAME_1 and NAME_2.

Parameters:

new_mapping (Dict[str, Dict[str, str]])

Return type:

None