def __init__( self, f_sym=(), n_lyap=-1, simplify=None, **kwargs ):
self.n_basic = kwargs.pop("n",None)
f_basic = self._handle_input(f_sym,n_basic=True)
self._n_lyap = n_lyap if (0<=n_lyap<=self.n_basic) else self.n_basic
if simplify is None:
simplify = self.n_basic<=10
helpers = sort_helpers(sympify_helpers( kwargs.pop("helpers",[]) ))
def f_lyap():
yield from f_basic()
for i in range(self._n_lyap):
for line in _jac_from_f_with_helpers(
f = f_basic,
helpers = helpers,
simplify = False,
n = self.n_basic
):
expression = sum(
entry * y(k+(i+1)*self.n_basic)
for k,entry in enumerate(line)
if entry
)
if simplify:
expression = expression.simplify(ratio=1.0)
yield expression
super(jitcode_lyap, self).__init__(
f_lyap,
helpers = helpers,
n = self.n_basic*(self._n_lyap+1),
**kwargs
)
def __init__(self, f_sym=(), n_lyap=-1, simplify=None, **kwargs):
self.n_basic = kwargs.pop("n", None)
f_basic = self._handle_input(f_sym, n_basic=True)
self._n_lyap = n_lyap if (
0 <= n_lyap <= self.n_basic) else self.n_basic
if self._n_lyap > 10:
warn(
"You are about to calculate %i Lyapunov exponents. This is very likely more than you need and may lead to severe difficulties with compilation and integration. Unless you really know what you are doing, consider how many Lyapunov exponents you actually need and set the parameter `n_lyap` accordingly."
% self._n_lyap)
if simplify is None:
simplify = self.n_basic <= 10
helpers = sort_helpers(sympify_helpers(kwargs.pop("helpers", [])))
def f_lyap():
yield from f_basic()
for i in range(self._n_lyap):
for line in _jac_from_f_with_helpers(f=f_basic,
helpers=helpers,
simplify=False,
n=self.n_basic):
expression = sum(entry * y(k + (i + 1) * self.n_basic)
for k, entry in enumerate(line) if entry)
if simplify:
expression = expression.simplify(ratio=1.0)
yield expression
super(jitcode_lyap, self).__init__(f_lyap,
helpers=helpers,
n=self.n_basic * (self._n_lyap + 1),
**kwargs)
def __init__(self, f_sym=(), n_lyap=-1, simplify=None, **kwargs):
self.n_basic = kwargs.pop("n", None)
f_basic = self._handle_input(f_sym, n_basic=True)
self._n_lyap = n_lyap if (
0 <= n_lyap <= self.n_basic) else self.n_basic
if simplify is None:
simplify = self.n_basic <= 10
helpers = sort_helpers(sympify_helpers(kwargs.pop("helpers", [])))
def f_lyap():
yield from f_basic()
for i in range(self._n_lyap):
for line in _jac_from_f_with_helpers(f=f_basic,
helpers=helpers,
simplify=False,
n=self.n_basic):
expression = sum(entry * y(k + (i + 1) * self.n_basic)
for k, entry in enumerate(line) if entry)
if simplify:
expression = expression.simplify(ratio=1.0)
yield expression
super(jitcode_lyap, self).__init__(f_lyap,
helpers=helpers,
n=self.n_basic * (self._n_lyap + 1),
**kwargs)
def __init__(self,
f_sym=(),
groups=(),
simplify=None,
average_dynamics=False,
**kwargs):
GroupHandler.__init__(self, groups)
self.n = kwargs.pop("n", None)
f_basic, extracted = self.extract_main(self._handle_input(f_sym))
helpers = sort_helpers(sympify_helpers(kwargs.pop("helpers", [])))
if simplify is None:
simplify = self.n <= 10
z = symengine.Function("z")
z_vector = [z(i) for i in range(self.n)]
tangent_vector = self.back_transform(z_vector)
def tangent_vector_f():
for line in _jac_from_f_with_helpers(f=f_basic,
helpers=helpers,
simplify=False,
n=self.n):
yield sum(entry * tangent_vector[k]
for k, entry in enumerate(line) if entry)
substitutions = {y(i): z(self.map_to_main(i)) for i in range(self.n)}
def finalise(entry):
entry = entry.subs(substitutions)
if simplify:
entry = entry.simplify(ratio=1)
return replace_function(entry, z, y)
if average_dynamics:
f_list = list(f_basic())
def f_lyap():
for entry in self.iterate(tangent_vector_f()):
if type(entry) == int: # i.e., if main index
if average_dynamics:
group = groups[entry]
yield sum(finalise(f_list[i])
for i in group) / len(group)
else:
yield finalise(extracted[self.main_indices[entry]])
else:
yield finalise(entry[0] - entry[1])
helpers = ((helper[0], finalise(helper[1])) for helper in helpers)
super(jitcode_transversal_lyap, self).__init__(f_lyap,
helpers=helpers,
n=self.n,
**kwargs)
def _arrange_helpers(self): """ Splits helpers into those needed by f and those needed by g. """ helpers = sort_helpers(sympify_helpers(self.helpers or [])) if self.g_helpers=="auto": f_needed = set().union(*(entry.free_symbols for entry in self.f_sym())) g_needed = set().union(*(entry.free_symbols for entry in self.g_sym())) self._f_helpers = filter_helpers(helpers,f_needed) self._g_helpers = filter_helpers(helpers,g_needed) else: self._f_helpers = helpers if self.g_helpers=="same": self._g_helpers = copy_helpers(helpers) else: self._g_helpers = sort_helpers(sympify_helpers(self.g_helpers or []))
def __init__( self, f_sym=(), groups=(), simplify=None, **kwargs ):
GroupHandler.__init__(self,groups)
self.n = kwargs.pop("n",None)
f_basic,extracted = self.extract_main(self._handle_input(f_sym))
helpers = sort_helpers(sympify_helpers( kwargs.pop("helpers",[]) ))
if simplify is None:
simplify = self.n<=10
z = symengine.Function("z")
z_vector = [z(i) for i in range(self.n)]
tangent_vector = self.back_transform(z_vector)
def tangent_vector_f():
for line in _jac_from_f_with_helpers(
f = f_basic,
helpers = helpers,
simplify = False,
n = self.n
):
yield sum(
entry * tangent_vector[k]
for k,entry in enumerate(line)
if entry
)
substitutions = {
y(i): z(self.map_to_main(i))
for i in range(self.n)
}
def finalise(entry):
entry = entry.subs(substitutions)
if simplify:
entry = entry.simplify(ratio=1)
return replace_function(entry,z,y)
def f_lyap():
for entry in self.iterate(tangent_vector_f()):
if type(entry)==int:
yield finalise(extracted[self.main_indices[entry]])
else:
yield finalise(entry[0]-entry[1])
helpers = ((helper[0],finalise(helper[1])) for helper in helpers)
super(jitcode_transversal_lyap, self).__init__(
f_lyap,
helpers = helpers,
n = self.n,
**kwargs
)
def __init__(
self,
f_sym=(),
*,
helpers=None,
wants_jacobian=False,
n=None,
control_pars=(),
callback_functions=(),
verbose=True,
module_location=None,
):
jitcxde.__init__(self, n, verbose, module_location)
self.f_sym = self._handle_input(f_sym)
self._f_C_source = False
self._jac_C_source = False
self._helper_C_source = False
self.helpers = sort_helpers(sympify_helpers(helpers or []))
self.control_pars = control_pars
self.control_par_values = ()
self.callback_functions = callback_functions
self._wants_jacobian = wants_jacobian
self.integrator = empty_integrator()
if self.jitced is None:
self._initialise = None
self.f = None
self.jac = None
else:
# Load derivative and Jacobian if a compiled module has been provided
self._initialise = self.jitced.initialise
self.f = self.jitced.f
self.jac = self.jitced.jac if hasattr(self.jitced, "jac") else None
self._number_of_jac_helpers = None
self._number_of_f_helpers = None
self.general_subs = {
control_par: symengine.Symbol("parameter_" + control_par.name)
for control_par in self.control_pars
}
def __init__(self,
f_sym = (),
helpers = None,
wants_jacobian = False,
n = None,
control_pars = (),
verbose = True,
module_location = None,
):
jitcxde.__init__(self,n,verbose,module_location)
self.f_sym = self._handle_input(f_sym)
self._f_C_source = False
self._jac_C_source = False
self._helper_C_source = False
self.helpers = sort_helpers(sympify_helpers(helpers or []))
self.control_pars = control_pars
self._wants_jacobian = wants_jacobian
self.integrator = empty_integrator()
if self.jitced is None:
self.f = None
self.jac = None
else:
# Load derivative and Jacobian if a compiled module has been provided
self.f = self.jitced.f
self.jac = self.jitced.jac if hasattr(self.jitced,"jac") else None
self._number_of_jac_helpers = None
self._number_of_f_helpers = None
self.general_subs = {
control_par: symengine.Symbol("parameter_"+control_par.name)
for control_par in self.control_pars
}
