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]