def courant(self, rainfall, delta_t, ratio):
# ratio se muze zmensit a max_delta_t_mult zvetsit
# pokud je courant v ryhach <= 0.2
#
# pokud je courant > 0.5 deje se opak
# to je ale reseno lokalne
# v ./src/processes/rill.py
#
# if (self.cour_most_rill < 0.1) :
# ratio = max(1,ratio-1) # ratio nemuze byt mensi nez 1
# if ratio == 1 :
# self.max_delta_t_mult = 1.0
# else :
# self.max_delta_t_mult = min(1.0, self.max_delta_t_mult*1/(0.9)) #
# max_delta_t_mult nemuze byt vetsi nez 1.0
# ratio se drzi na 10
# vyse nelze jit
# proto se zmensuje max_delta_t_mult
# ktery nasobi vysledne delta
#
# if ((ratio > self.maxratio) or (self.cour_most_rill > 1.0)) :
# ratio = self.maxratio
# ratio = 1
# self.max_delta_t_mult *= 0.9
# pokud je maximalni courant mimo dovolena kryteria
# mensi nez cour_least a vetsi nez cour_crit
# explicitne se dopocita dt na nejvetsi mozne
# xor
if ((self.cour_most < self.cour_least) !=
(self.cour_crit <= self.cour_most)):
# pokud se na povrchu nic nedeje
# nema se zmena dt cim ridit
# a zmeni se podle maxima nasobeneho max_delta_t_mult
# max_delta_t_mult se meni podle ryh, vyse v teto funkci
#
if (self.cour_speed == 0.0):
return self.max_delta_t * self.max_delta_t_mult, ratio
dt = round((Gl.mat_efect_cont[self.i, self.j] * self.cour_crit *
self.cour_coef) / self.cour_speed, 4)
# nove dt nesmi byt vetsi nez je maxdt * max_delta_t_mult
# max_delta_t_mult se meni podle ryh, vyse v teto funkci
# return dt*self.max_delta_t_mult, ratio
# return min(dt,self.max_delta_t*self.max_delta_t_mult), ratio
# print 'asdf', self.cour_speed, dt, self.max_delta_t_mult
return min(dt * self.max_delta_t_mult,
self.max_delta_t * self.max_delta_t_mult), ratio
# pokud je courant v povolenem rozmezi
# skontrolje se pouze pokud neni vetsi nez maxdt * max_delta_t_mult
# max_delta_t_mult se meni podle ryh, vyse v teto funkci
else:
# print 'fdafdsfasdfadsfadsfadsfaf'
# return delta_t, ratio
# print 'asdf', dt, dt*self.max_delta_t_mult, ratio
if ((ratio <= self.maxratio) and (self.cour_most_rill < 0.5)):
return delta_t, ratio
else:
return delta_t * self.max_delta_t_mult, ratio
Logger.critical(
'courant.cour() missed all its time step conditions\n no rule to preserve or change the time step!'
)
def load_precipitation(fh):
y2 = 0
try:
fh = open(fh, "r")
x = []
for line in fh.readlines():
z = line.split()
if len(z) == 0:
continue
elif z[0].find('#') >= 0:
continue
else:
if (len(z) == 0): # if raw in text file is empty
continue
elif (
(float(z[0]) == 0) & (float(z[1]) > 0)
): # if the record start with zero minutes the line has to be corrected
raise ErrorInRainfallRecord()
elif (
(float(z[0]) == 0) & (float(z[1]) == 0)
): # if the record start with zero minutes and rainfall the line is ignored
continue
else:
y0 = float(z[0]) * 60.0 # prevod na vteriny
y1 = float(z[1]) / 1000.0 # prevod na metry
if y1 < y2:
raise NonCumulativeRainData()
y2 = y1
mv = y0, y1
x.append(mv)
fh.close
# Values ordered by time ascending
dtype = [('cas', float), ('value', float)]
val = np.array(x, dtype=dtype)
x = np.sort(val, order='cas')
# Test if time time is more than once the same
state = 0
k = 1
itera = len(x) # iter is needed in main loop
for k in range(itera):
if x[k][0] == x[k - 1][0] and itera != 1:
state = 1
y = np.delete(x, k, 0)
if state == 0:
x = x
else:
x = y
# Amount of rainfall in individual intervals
if len(x) == 0:
sr = 0
else:
sr = np.zeros([itera, 2], float)
for i in range(itera):
if i == 0:
sr_int = x[i][1] / x[i][0]
sr[i][0] = x[i][0]
sr[i][1] = sr_int
else:
sr_int = (x[i][1] - x[i - 1][1]) / (x[i][0] - x[i - 1][0])
sr[i][0] = x[i][0]
sr[i][1] = sr_int
#for i, item in enumerate(sr):
#print item[0], '\t', item[1]
return sr, itera
except IOError:
Logger.critical("The rainfall file does not exist!")
except:
Logger.critical("Unexpected error:", sys.exc_info()[0])
raise
