def METHOD_NAME(
    cls,
    configuration: Optional[ExpectationConfiguration] = None,
    result: Optional[ExpectationValidationResult] = None,
    runtime_configuration: Optional[dict] = None,
    **kwargs,
):
    runtime_configuration = runtime_configuration or {}
    include_column_name = (
        False if runtime_configuration.get("include_column_name") is False else True
    )
    styling = runtime_configuration.get("styling")
    params = substitute_none_for_missing(
        configuration.kwargs,
        ["column", "mostly", "row_condition", "condition_parser"],
    )
    template_str = "values must be parseable as XML"
    if params["mostly"] is not None:
        params["mostly_pct"] = num_to_str(
            params["mostly"] * 100, precision=15, no_scientific=True
        )
        # params["mostly_pct"] = "{:.14f}".format(params["mostly"]*100).rstrip("0").rstrip(".")
        template_str += ", at least $mostly_pct % of the time."
    else:
        template_str += "."
    if include_column_name:
        template_str = "$column " + template_str
    if params["row_condition"] is not None:
        (
            conditional_template_str,
            conditional_params,
        ) = parse_row_condition_string_pandas_engine(params["row_condition"])
        template_str = conditional_template_str + ", then " + template_str
        params.update(conditional_params)
    return [
        RenderedStringTemplateContent(
            **{
                "content_block_type": "string_template",
                "string_template": {
                    "template": template_str,
                    "params": params,
                    "styling": styling,
                },
            }
        )
    ]