def blend_cp(a, b, t):
cp = redking.model_cost_params()
cp.amin = lerp(a.amin, b.amin, t)
cp.amax = lerp(a.amax, b.amax, t)
cp.a_p = lerp(a.a_p, b.a_p, t)
cp.betmin = lerp(a.betmin, b.betmin, t)
cp.bemaxtime = lerp(a.bemaxtime, b.bemaxtime, t)
cp.beta_p = lerp(a.beta_p, b.beta_p, t)
cp.g = lerp(a.g, b.g, t)
cp.h = lerp(a.h, b.h, t)
return cp
def random_cp():
cp = redking.model_cost_params()
cp.amin = random.uniform(0, 10)
cp.amax = random.uniform(cp.amin, 10)
cp.a_p = random.uniform(0, 5) + 0.1
cp.betmin = random.uniform(0, 10)
cp.bemaxtime = random.uniform(cp.betmin, 10)
cp.beta_p = random.uniform(0, 5)
cp.g = random.uniform(-10, 10)
cp.h = random.uniform(-10, 10)
return cp
def blend_cp(a,b,t):
cp = redking.model_cost_params()
cp.amin = lerp(a.amin,b.amin,t)
cp.amax = lerp(a.amax,b.amax,t)
cp.a_p = lerp(a.a_p,b.a_p,t)
cp.betmin = lerp(a.betmin,b.betmin,t)
cp.bemaxtime = lerp(a.bemaxtime,b.bemaxtime,t)
cp.beta_p = lerp(a.beta_p,b.beta_p,t)
cp.g = lerp(a.g,b.g,t)
cp.h = lerp(a.h,b.h,t)
return cp
def random_cp():
cp = redking.model_cost_params()
cp.amin = random.uniform(0,10)
cp.amax = random.uniform(cp.amin,10)
cp.a_p = random.uniform(0,5)+0.1
cp.betmin = random.uniform(0,10)
cp.bemaxtime = random.uniform(cp.betmin,10)
cp.beta_p = random.uniform(0,5)
cp.g = random.uniform(-10,10)
cp.h = random.uniform(-10,10)
return cp
def random_cp():
cp = redking.model_cost_params()
cp.amin = random.uniform(0,10)
cp.amax = random.uniform(cp.amin,10)
cp.a_p = random.uniform(0,5)+0.1
cp.betmin = random.uniform(0,10)
cp.bemaxtime = random.uniform(cp.betmin,10)
cp.beta_p = random.uniform(0,5)
cp.g = random.uniform(-10,10)
cp.h = random.uniform(-10,10)
# additional..
cp.pstart = int(math.floor(random.uniform(0,25)))
cp.hstart = int(math.floor(random.uniform(0,25)))
cp.model_type = int(math.floor(random.uniform(0,2)))
return cp
def str_to_cp(s):
lines = s.split('\n')
cp = redking.model_cost_params()
if lines[0].split(' ')[0]=='cp.model_type':
cp.model_type = int(lines[0].split(' ')[2])
cp.amin = float(lines[1].split(' ')[2])
cp.amax = float(lines[2].split(' ')[2])
cp.a_p = float(lines[3].split(' ')[2])
cp.betmin = float(lines[4].split(' ')[2])
cp.bemaxtime = float(lines[5].split(' ')[2])
cp.beta_p = float(lines[6].split(' ')[2])
cp.g = float(lines[7].split(' ')[2])
cp.h = float(lines[8].split(' ')[2])
# additional..
cp.pstart = int(lines[9].split(' ')[2])
cp.hstart = int(lines[10].split(' ')[2])
elif lines[0].split(' ')[0]=='cp.amin':
cp.model_type = 1
cp.amin = float(lines[0].split(' ')[2])
cp.amax = float(lines[1].split(' ')[2])
cp.a_p = float(lines[2].split(' ')[2])
cp.betmin = float(lines[3].split(' ')[2])
cp.bemaxtime = float(lines[4].split(' ')[2])
cp.beta_p = float(lines[5].split(' ')[2])
cp.g = float(lines[6].split(' ')[2])
cp.h = float(lines[7].split(' ')[2])
if len(lines)>9:
# additional..
cp.pstart = int(lines[8].split(' ')[2])
cp.hstart = int(lines[9].split(' ')[2])
else:
cp.pstart = 12
cp.hstart = 10
else:
print(s)
return False
return cp
