def __init__(self, label = 'another reaction', rate = float(10.0), propensity_scheme = 'classic', propensity_function_maker = None, parent = None, occurrences = [], used = None, produced = None, visible_attributes = ['label', 'propensity_scheme', 'rate', 'used', 'produced']): self.system = None self.rate = rate if occurrences is None: self.occurrences = [] else: self.occurrences = occurrences #instances of these are somehow coupled unless a # used and produced list is passed to init, # EVEN an empty list will do (used = [] does not!) if used is None: self.used = [] else: self.used = used if produced is None: self.produced = [] else: self.produced = produced self.propensity = 1.0 self.propensity_minimum = 1e-30 self.propensity_scheme = propensity_scheme parameter_space_templates =\ [lgeo.interface_template_p_space_axis(parent = self, p_sp_bounds = [0.0000001, 1000.0], instance = self, key = 'rate')] modular_object.__init__(self, label = label, parent = parent, visible_attributes = visible_attributes, parameter_space_templates = parameter_space_templates)
def __init__(self, *args, **kwargs):
if 'label' not in kwargs.keys(): kwargs['label'] = 'vector'
self.impose_default('values', [1.0], **kwargs)
self.brand_new = True
parameter_space_templates = []
modular_object.__init__(self, *args,
parameter_space_templates = parameter_space_templates, **kwargs)
def __init__(self, *args, **kwargs):
if "label" not in kwargs.keys():
kwargs["label"] = "vector"
self.impose_default("values", [1.0], **kwargs)
self.brand_new = True
parameter_space_templates = []
modular_object.__init__(self, *args, parameter_space_templates=parameter_space_templates, **kwargs)
def __init__(self, x, y, z, system): self.xposition = x self.yposition = y self.zposition = z self.max_age = 1000 self.system = system modular_object.__init__(self) self.initialize()
def __init__(self, *args, **kwargs):
if 'label' not in kwargs.keys(): kwargs['label'] = 'variable'
self.impose_default('value', 1.0, **kwargs)
self.brand_new = True
parameter_space_templates = [lgeo.interface_template_p_space_axis(instance = self,
p_sp_bounds = ['-10e64', '10e64'],
parent = self, key = 'value')]
modular_object.__init__(self, *args,
parameter_space_templates = parameter_space_templates, **kwargs)
def __init__(self, *args, **kwargs):
if "label" not in kwargs.keys():
kwargs["label"] = "variable"
self.impose_default("value", 1.0, **kwargs)
self.brand_new = True
parameter_space_templates = [
lgeo.interface_template_p_space_axis(
instance=self, p_sp_bounds=["-10e64", "10e64"], parent=self, key="value"
)
]
modular_object.__init__(self, *args, parameter_space_templates=parameter_space_templates, **kwargs)
def __init__(self, *args, **kwargs):
if 'label' not in kwargs.keys(): kwargs['label'] = 'variable'
self.impose_default('value', 1.0, **kwargs)
self.brand_new = True
parameter_space_templates =\
[lgeo.interface_template_p_space_axis(instance = self,
p_sp_bounds = ['-10e64', '10e64'],
parent = self, key = 'value')]
modular_object.__init__(self, *args,
parameter_space_templates =\
parameter_space_templates, **kwargs)
def __init__(self, label = 'another species', initial_count = 0, current_count = None, visible_attributes = \ ['label', 'initial_count'], parent = None): self.system = None self.initial_count = initial_count if current_count == None: self.current_count = initial_count else: self.current_count = current_count self.brand_new = True parameter_space_templates =\ [lgeo.interface_template_p_space_axis(instance = self, key = 'initial_count', p_sp_bounds = [0, 1000000], p_sp_increment = 1, p_sp_continuous = False, parent = self)] modular_object.__init__(self, label = label, visible_attributes = visible_attributes, parameter_space_templates = parameter_space_templates)
def __init__(self, label = 'another species', initial_count = 0,
current_count = None, visible_attributes = \
['label', 'initial_count'], parent = None):
self.system = None
self.initial_count = initial_count
if current_count == None: self.current_count = initial_count
else: self.current_count = current_count
self.brand_new = True
parameter_space_templates =\
[lgeo.interface_template_p_space_axis(instance = self,
key = 'initial_count', p_sp_bounds = [0, 1000000],
p_sp_increment = 1, p_sp_continuous = False,
parent = self)]
modular_object.__init__(
self,
label=label,
visible_attributes=visible_attributes,
parameter_space_templates=parameter_space_templates)
def __init__(self,
label='another reaction',
rate=float(10.0),
propensity_scheme='classic',
propensity_function_maker=None,
parent=None,
occurrences=[],
used=None,
produced=None,
visible_attributes=[
'label', 'propensity_scheme', 'rate', 'used', 'produced'
]):
self.system = None
self.rate = rate
if occurrences is None: self.occurrences = []
else: self.occurrences = occurrences
#instances of these are somehow coupled unless a
# used and produced list is passed to init,
# EVEN an empty list will do (used = [] does not!)
if used is None: self.used = []
else: self.used = used
if produced is None: self.produced = []
else: self.produced = produced
self.propensity = 1.0
self.propensity_minimum = 1e-30
self.propensity_scheme = propensity_scheme
parameter_space_templates =\
[lgeo.interface_template_p_space_axis(parent = self,
p_sp_bounds = [0.0000001, 1000.0],
instance = self, key = 'rate')]
modular_object.__init__(
self,
label=label,
parent=parent,
visible_attributes=visible_attributes,
parameter_space_templates=parameter_space_templates)
def __init__(self, *args, **kwargs):
if 'label' not in kwargs.keys(): kwargs['label'] = 'function'
self.impose_default('func_statement', '', **kwargs)
self.brand_new = True
modular_object.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
if 'label' not in kwargs.keys(): kwargs['label'] = 'function'
self.impose_default('func_statement', '', **kwargs)
self.brand_new = True
modular_object.__init__(self, *args, **kwargs)
