def cont(self, file_name, **opts):
"""Continue previous numerical solution from input file"""
# Load solution object
t, Xt, (sysopts, sysargs) = load_csv(file_name, parameters=True)
sysinst = self._make_sode(*sysargs, **sysopts)
if not sysinst:
return -1
if opts['params']:
print sysinst.get_description()
return 0
if opts['stdout']:
self.save_solution(sysinst, t, Xt, '-')
append_file = sys.stdout
else:
append_file = open(file_name, 'a')
while True:
# Find final state to use as initial conditions here
t1 = t[-1]
x0 = Xt[-1, :]
del t, Xt
# Extend solution
t = np.arange(t1, t1 + opts['T'] + opts['dtout'], opts['dtout'])
Xt = solve(sysinst, x0, t, opts['dtmax'], method=opts['method'])
# Remove repeated time
t = t[1:]
Xt = Xt[1:, :]
# Save to same file or write to stdout
save_csv(sysinst, t, Xt, append_file, header=False, titles=False)
append_file.flush()
def cont(self, file_name, **opts):
"""Continue previous numerical solution from input file"""
# Load solution object
t, Xt, (sysopts, sysargs) = load_csv(file_name, parameters=True)
sysinst = self._make_sode(*sysargs, **sysopts)
if not sysinst:
return -1
if opts['params']:
print sysinst.get_description()
return 0
if opts['stdout']:
self.save_solution(sysinst, t, Xt, '-')
append_file = sys.stdout
else:
append_file = open(file_name, 'a')
while True:
# Find final state to use as initial conditions here
t1 = t[-1]
x0 = Xt[-1, :]
del t, Xt
# Extend solution
t = np.arange(t1, t1 + opts['T'] + opts['dtout'], opts['dtout'])
Xt = solve(sysinst, x0, t, opts['dtmax'], method=opts['method'])
# Remove repeated time
t = t[1:]
Xt = Xt[1:, :]
# Save to same file or write to stdout
save_csv(sysinst, t, Xt, append_file, header=False, titles=False)
append_file.flush()
def solve(self, *args, **opts):
"""Solve numerically using random realisation of noise
If neither of plot or outputfile is specified, the solution will be
written to stdout.
"""
# Default to stdout
if not (opts['output_file'] or opts['plot'] or opts['plot_file']):
opts['output_file'] = '-'
# Create system with args
sysinst = self._make_sode(*args, **opts)
if not sysinst:
return 1
if opts['params']:
print sysinst.get_description()
return 0
# Create solution
t = np.arange(opts['t1'], opts['t2'] + opts['dtout'], opts['dtout'])
x0 = sysinst.get_x0()
Xt = solve(sysinst, x0, t, opts['dtmax'], method=opts['method'])
# Ouput file is contained in opts (no-op if not provided)
self.save_solution(sysinst, t, Xt, **opts)
# Plot (no-op) if plot options not provided
fig = self.figure(**opts)
if fig:
ax = fig.add_subplot(1, 1, 1)
self.plot_solution(ax, t, Xt, 'k')
self.show(fig, **opts)
def solve(self, *args, **opts):
"""Solve numerically using random realisation of noise
If neither of plot or outputfile is specified, the solution will be
written to stdout.
"""
# Default to stdout
if not (opts['output_file'] or opts['plot'] or opts['plot_file']):
opts['output_file'] = '-'
# Create system with args
sysinst = self._make_sode(*args, **opts)
if not sysinst:
return 1
if opts['params']:
print sysinst.get_description()
return 0
# Create solution
t = np.arange(opts['t1'], opts['t2'] + opts['dtout'], opts['dtout'])
x0 = sysinst.get_x0()
Xt = solve(sysinst, x0, t, opts['dtmax'], method=opts['method'])
# Ouput file is contained in opts (no-op if not provided)
self.save_solution(sysinst, t, Xt, **opts)
# Plot (no-op) if plot options not provided
fig = self.figure(**opts)
if fig:
ax = fig.add_subplot(1, 1, 1)
self.plot_solution(ax, t, Xt, 'k')
self.show(fig, **opts)