def print_profile(name, profile, ts, distance): print print "Profile: %s" % name print "-" * 24 # print header print_profile_header(profile) for t in ts: v = vdot(distance, t) print_profile_row(t, v, profile)
for name, profile in profiles.items():
print_profile(name, profile, ts, distance)
# args
opts, args = optparse.OptionParser().parse_args()
distance = 1600
# 15 sec bins from 6'00 ... 14'00
table_params = {
'start': 6,
'end': 12,
'step_secs': 10
}
if len(args):
ts = map(si, args)
ts.sort()
print_profiles(profiles, ts, distance)
else:
start = table_params['start']
end = table_params['end']
step = table_params['step_secs']
ts = [step * t for t in xrange(start * 60 / step, end * 60/step + 1)]
print_profiles(profiles, ts, distance)
print
for t in ts:
print "Marathon est. (@%s): %s h" % (s(t/60.0), s(predict(vdot(distance, t), 42195)/60.0))
