def hash_from_dict(content: dict):
return _.pipe(
content,
common.json_dumps(sort_keys=True, default=str),
common.call('encode', 'utf-8'),
hashlib.md5,
common.call('hexdigest'),
)
def image_hash(course_root: str, path: str):
path = resolve_path(course_root, path)
if path.exists():
return pipe(
path.read_bytes(),
hashlib.md5,
call('hexdigest'),
)
log.error(f'No image at {path}')
def get_arp_data(arp_output, regex, mac_conv):
return _.pipe(
arp_output.splitlines(),
_.map(regex.match),
_.filter(None),
_.map(__.call('groupdict')),
larc.parallel.thread_map(
lambda d: _.merge(d, mac_conv(d['mac'])),
max_workers=5,
),
tuple,
)
def questions(course: Course, course_root: str, path: str):
return pipe(
canvas.quiz.quiz_data_from_yaml(course, course_root, path),
call('get', 'questions', []),
)
def render(path, **kw):
return pipe(
path.read_text(),
env.from_string,
call('render', **kw),
)