text.py

                break

        assert unspec_correct_answer_text

        result = CORRECT_ANSWER_PATTERN % unspec_correct_answer_text

        if hasattr(self.page_desc, "answer_explanation"):
            result += markup_to_html(page_context, self.page_desc.answer_explanation)

        return result

    def is_case_sensitive(self):
        return any(matcher.is_case_sensitive for matcher in self.matchers)

# }}}


# {{{ human-graded text question

class HumanGradedTextQuestion(TextQuestionBase, PageBaseWithValue,
        PageBaseWithHumanTextFeedback, PageBaseWithCorrectAnswer):
    """
    A page asking for a textual answer

    .. attribute:: id

        |id-page-attr|

    .. attribute:: type

        ``HumanGradedTextQuestion``

    .. attribute:: is_optional_page

        |is-optional-page-attr|

    .. attribute:: access_rules

        |access-rules-page-attr|

    .. attribute:: title

        |title-page-attr|

    .. attribute:: value

        |value-page-attr|

    .. attribute:: prompt

        The page's prompt, written in :ref:`markup`.

    .. attribute:: widget

        |text-widget-page-attr|

    .. attribute:: initial_text

        Text with which to prepopulate the input widget.

    .. attribute:: validators

        Optional.
        TODO

    .. attribute:: correct_answer

        Optional.
        Content that is revealed when answers are visible
        (see :ref:`flow-permissions`). Written in :ref:`markup`.

    .. attribute:: rubric

        Required.
        The grading guideline for this question, in :ref:`markup`.
    """

    def __init__(self, vctx, location, page_desc):
        super(HumanGradedTextQuestion, self).__init__(vctx, location, page_desc)

        self.validators = [
                parse_validator(
                    vctx,
                    "%s, validator %d" % (location, i+1),
                    answer)
                for i, answer in enumerate(
                    getattr(page_desc, "validators", []))]

    def allowed_attrs(self):
        return super(HumanGradedTextQuestion, self).allowed_attrs() + (
                ("validators", list),
                )

    def human_feedback_point_value(self, page_context, page_data):
        return self.max_points(page_data)

    def get_validators(self):
        return self.validators

# }}}

# vim: foldmethod=marker