langtest.transform.robustness.UpperCase#

class UpperCase#

Bases: BaseRobustness

A class for transforming text samples to uppercase.

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Creates a task to run the robustness measure.
run(sample_list, model, **kwargs)	Abstract method that implements the robustness measure.
transform(sample_list[, prob])	Transform the text samples in the given sample list to uppercase.

Attributes

alias_name
supported_tasks
test_types

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

Creates a task to run the robustness measure.

Parameters:

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

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the robustness measure.

Returns:

The task that runs the robustness measure.

Return type:

asyncio.Task

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

Abstract method that implements the robustness measure.

Parameters:

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

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the robustness measure.

Returns:

The transformed data based on the implemented robustness measure.

Return type:

List[Sample]

static transform(sample_list: List[Sample], prob: float | None = 1.0) → List[Sample]#

Transform the text samples in the given sample list to uppercase.

Parameters:

• sample_list (List[Sample]) – A list of samples to be transformed.

• prob (Optional[float]) – The probability of transforming each word to uppercase. Defaults to 1.0, which means all words will be transformed.

Returns:

The transformed sample list with text samples in uppercase.

Return type:

List[Sample]