pyrit.prompt_converter.ColloquialWordswapConverter#

class ColloquialWordswapConverter(deterministic: bool = False, custom_substitutions: Dict[str, List[str]] | None = None)[source]#

Bases: PromptConverter

Converts text into colloquial Singaporean context.

__init__(deterministic: bool = False, custom_substitutions: Dict[str, List[str]] | None = None) None[source]#

Initializes the converter with optional deterministic mode and custom substitutions.

Parameters:
  • deterministic (bool) – If True, use the first substitution for each wordswap. If False, randomly choose a substitution for each wordswap. Defaults to False.

  • custom_substitutions (Optional[Dict[str, List[str]]], Optional) – A dictionary of custom substitutions to override the defaults. Defaults to None.

Methods

__init__([deterministic, custom_substitutions])

Initializes the converter with optional deterministic mode and custom substitutions.

convert_async(*, prompt[, input_type])

Converts the given prompt by replacing words with colloquial Singaporean terms.

convert_tokens_async(*, prompt[, ...])

Converts substrings within a prompt that are enclosed by specified start and end tokens.

get_identifier()

Returns an identifier dictionary for the converter.

input_supported(input_type)

Checks if the input type is supported by the converter.

output_supported(output_type)

Checks if the output type is supported by the converter.

Attributes

supported_input_types

Returns a list of supported input types for the converter.

supported_output_types

Returns a list of supported output types for the converter.

async convert_async(*, prompt: str, input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error'] = 'text') ConverterResult[source]#

Converts the given prompt by replacing words with colloquial Singaporean terms.

input_supported(input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error']) bool[source]#

Checks if the input type is supported by the converter.

Parameters:

input_type (PromptDataType) – The input type to check.

Returns:

True if the input type is supported, False otherwise.

Return type:

bool

output_supported(output_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error']) bool[source]#

Checks if the output type is supported by the converter.

Parameters:

output_type (PromptDataType) – The output type to check.

Returns:

True if the output type is supported, False otherwise.

Return type:

bool