human
I wrote the below code

    if (feature not in AVAILABLE_PROFILE_FEATURES):
        raise ValueError("unsupported    feature    requested    for    distribution    '{}'".format(feature))
    prd = ProfileDistribution(feature)
    if (feature in _EASY_CHOICE_FEATURES):
        prd.type = 'EASY_CHOICE'
        if (feature == 'gender'):
            raw_choices = UserProfile.GENDER_CHOICES
        elif (feature == 'level_of_education'):
            raw_choices = UserProfile.LEVEL_OF_EDUCATION_CHOICES
        choices = ([(short, full) for (short, full) in raw_choices] + [('no_data', 'No    Data')])
        def get_filter(feature, value):
            '    Get    the    orm    filter    parameters    for    a    feature.    '
            return {'gender': {'user__profile__gender': value}, 'level_of_education': {'user__profile__level_of_education': value}}[feature]
        def get_count(feature, value):
            '    Get    the    count    of    enrolled    students    matching    the    feature    value.    '
            return CourseEnrollment.objects.filter(course_id=course_id, is_active=True, **get_filter(feature, value)).count()
        distribution = {}
        for (short, full) in choices:
            if (short == 'no_data'):
                distribution['no_data'] = 0
                distribution['no_data'] += get_count(feature, None)
                distribution['no_data'] += get_count(feature, '')
            else:
                distribution[short] = get_count(feature, short)
        prd.data = distribution
        prd.choices_display_names = dict(choices)
    elif (feature in _OPEN_CHOICE_FEATURES):
        prd.type = 'OPEN_CHOICE'
        profiles = UserProfile.objects.filter(user__courseenrollment__course_id=course_id, user__courseenrollment__is_active=True)
        query_distribution = profiles.values(feature).annotate(Count(feature)).order_by()
        distribution = dict(((vald[feature], vald[(feature + '__count')]) for vald in query_distribution))
        if (None in distribution):
            distribution['no_data'] =...

What's a good function header?
assistant
#Here's a good function header.

def profile_distribution(course_id, feature):