def extract_radians()

in src/metadata.py [0:0]

• 12 lines of code
• 5 McCabe index (conditional complexity)

def extract_radians(md_string):
    """
    Creates a radian representation of date information that uses: hour, day, week,
    month information encapsulated in one 8-dimensional vector.
    """
    date = split_datetime_md(md_string)

    hour = date.hour # Between 0 and 23
    day = date.weekday() # Between 0 and 6
    week = date.isocalendar()[1] - 1 # Between 0 and 52
    month = date.month - 1 # between 0 and 11

    radians_hour = [math.sin(2*math.pi*hour/24), math.cos(2*math.pi*hour/24)]
    radians_day = [math.sin(2*math.pi*day/7), math.cos(2*math.pi*day/7)]
    radians_week = [math.sin(2*math.pi*week/53), math.cos(2*math.pi*week/53)]
    radians_month = [math.sin(2*math.pi*month/12), math.cos(2*math.pi*month/12)]

    all_radians = radians_hour + radians_day + radians_week + radians_month

    return torch.FloatTensor(all_radians)