def __init__(self, **kwargs):
PrmDictBase.__init__(self)
self.physical_prm = {
'f': 0,
'I': 1,
'bc_0': 0,
'bc_L': 0,
'L': 1,
'c': 1,
}
self.numerical_prm = {
'dt': 0,
'safety_factor': 1.0, # multiplies dt
'tstop': 1,
'n': 10,
'user_action': lambda s: None, # callable with one arg.
'scheme_coding': 'scalar', # alt: 'vectorized'
}
# bring variables into existence (with dummy values):
self.x = zeros(1) # grid points
self.up = zeros(1) # sol. at new time level
self.u = self.up.copy() # prevous time level
self.um = self.up.copy() # two time levels behind
self._prm_list = [self.physical_prm, self.numerical_prm]
self._type_check = {'n': int, 'tstop': (int,float),
'dt': (int,float),
'safety_factor': (int,float)}
self.user_prm = None # no extra user parameters
self.set(**kwargs) # assign parameters (if any kwargs)
self.finished = False # enables stopping simulations
def __init__(self, **kwargs):
PrmDictBase.__init__(self)
self.physical_prm = {
'f': 0,
'I': 1,
'bc_0': 0,
'bc_L': 0,
'L': 1,
'c': 1,
}
self.numerical_prm = {
'dt': 0,
'safety_factor': 1.0, # multiplies dt
'tstop': 1,
'n': 10,
'user_action': lambda s: None, # callable with one arg.
'scheme_coding': 'scalar', # alt: 'vectorized'
}
# bring variables into existence (with dummy values):
self.x = zeros(1) # grid points
self.up = zeros(1) # sol. at new time level
self.u = self.up.copy() # prevous time level
self.um = self.up.copy() # two time levels behind
self._prm_list = [self.physical_prm, self.numerical_prm]
self._type_check = {
'n': (int, float),
'tstop': (int, float),
'dt': (int, float),
'safety_factor': (int, float)
}
self.user_prm = None # no extra user parameters
self.set(**kwargs) # assign parameters (if any kwargs)
self.finished = False # enables stopping simulations
def __init__(self, **kwargs):
PrmDictBase.__init__(self)
# register parameters in dictionaries:
self.physical_prm = {'density': 1.0, 'Cp': 1.0, 'k': 1.0, 'L': 1.0}
self.numerical_prm = {'n': 10, 'dt': 0.1, 'tstop': 3}
# attach dictionaries to base class list (required):
self._prm_list = [self.physical_prm, self.numerical_prm]
# specify parameters to be type checked when set:
# (this stopped working...)
#self._type_check.update({'n': True, 'dt': (float,),
# 'k': lambda k: isinstance(int,float) and k>0})
# disallow arbitrary meta data
self.user_prm = None # set to {} if meta data are allowed
# initialize parameters according to keyword arguments:
self.set(**kwargs)
def __init__(self, **kwargs):
PrmDictBase.__init__(self)
# register parameters in dictionaries:
self.physical_prm = {'density': 1.0, 'Cp': 1.0,
'k': 1.0, 'L': 1.0}
self.numerical_prm = {'n': 10, 'dt': 0.1, 'tstop': 3}
# attach dictionaries to base class list (required):
self._prm_list = [self.physical_prm, self.numerical_prm]
# specify parameters to be type checked when set:
# (this stopped working...)
#self._type_check.update({'n': True, 'dt': (float,),
# 'k': lambda k: isinstance(int,float) and k>0})
# disallow arbitrary meta data
self.user_prm = None # set to {} if meta data are allowed
# initialize parameters according to keyword arguments:
self.set(**kwargs)