def submerged_victim_removal(file, custom_id, *deductions):
points_added = 5
# candidate starts with 10 possible points and loses them based on performance
for case in deductions:
if case: points_added -= 1
# then we add the points
if points_added < 0: points_added = 0
Applicant_DataFrame.add_points(file, custom_id, points_added)
def deep_water_spinal_boarding(file, custom_id, *deductions):
points_added = 9
# candidate starts with 10 possible points and loses them based on performance
for case in deductions:
if case: points_added -= 1
# then we add the points
if points_added < 0: points_added = 0
Applicant_DataFrame.add_points(file, custom_id, points_added)
def lap_with_tube(file, custom_id, time):
points_added = 0
if time < 24:
points_added += 4
elif 24 < time < 29:
points_added += 3
elif 28 < time < 32:
points_added += 2
else:
points_added += 1
Applicant_DataFrame.add_points(file, custom_id, points_added)
def swim_laps(file, custom_id, time):
points_added = 0
if time < 4.00:
points_added += 6
elif 4.00 < time < 4.11:
points_added += 5
elif 4.10 < time < 4.21:
points_added += 4
elif 4.20 < time < 4.31:
points_added += 3
elif 4.30 < time < 4.46:
points_added += 2
elif 4.45 < time < 4.56:
points_added += 1
else:
points_added = 0
Applicant_DataFrame.add_points(file, custom_id, points_added)
def brick_retrieval(file, custom_id, time):
points_added = 0
if time < 1.00:
points_added += 7
elif 1.00 < time < 1.07:
points_added += 6
elif 1.06 < time < 1.16:
points_added += 5
elif 1.15 < time < 1.21:
points_added += 4
elif 1.20 < time < 1.26:
points_added += 3
elif 1.25 < time < 1.31:
points_added += 2
else:
points_added += 1
Applicant_DataFrame.add_points(file, custom_id, points_added)
def first_aid(file, custom_id, *scene_points):
points_added = 0
for points in scene_points:
points_added += points
Applicant_DataFrame.add_points(file, custom_id, points_added)
def treading(file, custom_id, P):
if P:
Applicant_DataFrame.add_points(file, custom_id, 3)
def multiple_choice(file, custom_id, points):
Applicant_DataFrame.add_points(file, custom_id, points)
return