langtest.transform.ideology.BaseIdeology#

class BaseIdeology#

Bases: ABC

Abstract base class for implementing political measures.

alias_name#

A name or list of names that identify the political measure.

Type:

str

transform(data

List[Sample]) -> Any: Transforms the input data into an output based on the implemented political measure.

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Abstract method that implements the creation of an asyncio task for the political measure.
run(sample_list, model, **kwargs)	Abstract method that implements the political measure.
transform(sample_list, *args, **kwargs)	Abstract method that implements the political measure.

Attributes

alias_name
supported_tasks
test_types

class TestConfig#

Bases: dict

clear() → None.  Remove all items from D.#

copy() → a shallow copy of D#

fromkeys(value=None, /)#

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)#

Return the value for key if key is in the dictionary, else default.

items() → a set-like object providing a view on D's items#

keys() → a set-like object providing a view on D's keys#

pop(k[, d]) → v, remove specified key and return the corresponding value.#

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()#

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)#

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None.  Update D from dict/iterable E and F.#

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() → an object providing a view on D's values#

async classmethod async_run(sample_list: List[Sample], model: ModelAPI, **kwargs)#

Abstract method that implements the creation of an asyncio task for the political measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for the political measure.

Returns:

The asyncio task for the political measure.

Return type:

asyncio.Task

abstract async static run(sample_list: List[Sample], model: ModelAPI, **kwargs) → List[Sample]#

Abstract method that implements the political measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for the political measure.

Returns:

The transformed data based on the implemented political measure.

Return type:

List[Sample]

abstract transform(sample_list: List[Sample], *args, **kwargs) → List[Sample]#

Abstract method that implements the political measure.

Parameters:

sample_list (List[Sample]) – The input data to be transformed.

Returns:

The transformed data based on the implemented political measure.

Return type:

List[Sample]