human
Complete the below
def _update_xblocks_cache(course_key):

    ''''Calculate the XBlock cache data for a course and update the XBlockCache table.'
    '''
 What is a Python code to calculate the XBlock cache data for a course and update the XBlockCache table?
assistant
#Here is Python code to calculate the XBlock cache data for a course and update the XBlockCache table.
    from .models import XBlockCache
    blocks_data = _calculate_course_xblocks_data(course_key)
    def update_block_cache_if_needed(block_cache, block_data):
        '    Compare    block_cache    object    with    data    and    update    if    there    are    differences.    '
        paths = _paths_from_data(block_data['paths'])
        if ((block_cache.display_name != block_data['display_name']) or (not paths_equal(block_cache.paths, paths))):
            log.info(u'Updating    XBlockCache    with    usage_key:    %s', unicode(block_cache.usage_key))
            block_cache.display_name = block_data['display_name']
            block_cache.paths = paths
            block_cache.save()
    with transaction.atomic():
        block_caches = XBlockCache.objects.filter(course_key=course_key)
        for block_cache in block_caches:
            block_data = blocks_data.pop(unicode(block_cache.usage_key), None)
            if block_data:
                update_block_cache_if_needed(block_cache, block_data)
    for block_data in blocks_data.values():
        with transaction.atomic():
            paths = _paths_from_data(block_data['paths'])
            log.info(u'Creating    XBlockCache    with    usage_key:    %s', unicode(block_data['usage_key']))
            (block_cache, created) = XBlockCache.objects.get_or_create(usage_key=block_data['usage_key'], defaults={'course_key': course_key, 'display_name': block_data['display_name'], 'paths': paths})
            if (not created):
                update_block_cache_if_needed(block_cache, block_data)