def __init__(self,config_filepath=None,config=None,section="field parameters",
time_dependent_function=None, scale=1.0, normalize=None, **kwargs):
"""
Loads the config_filepath and puts the elements into the objects attributes.
Also loads and saves the fields.
Args:
config_filepath: filepath to the config file for the field. Either this or the
config object needs to be present.
config: A config parser object. Allows the reading of this data from an existent
config parser object.
section: The name of the section in the filepath with the field info. Default
is field parameters.
Attributes:
fields: A dict first pointing to the type of field (i.e. electric
or magnetic) then pointing to components of the field.
stepsize: A dict containing the stepsize of each of the coordinates key
by the coordinate.
number_of_steps: A dict containing the number of steps of each of the coordinates key
by the coordinate.
zmin: The minimum value of the z coordinate in the filepath.
zmax: The max z in the field.
zlen: The length over which the field is applied.
current_position: The position of the center of mass of the pulse
to be used if a distance needs to be calculated.
time_dependent_function: An option function callback (function is a function of top.time)
that can add time dependence to the field. Default is no such function.
scale: An option that provides a hook to scale the field(s) being loaded.
"""
if config_filepath is None and config is None:
raise Exception("Either the config_filepath needs to be specified or a config parser object " +
"needs to be passed to the init function.")
if config is None:
config = ConfigParser()
config.read(config_filepath)
self.config = config
self.section = section
self.xmin = config.get(section,"xmin")
self.ymin = config.get(section,"ymin")
self.zmin = config.get(section,"zmin")
self.zmax = config.get(section,"zmax")
self.zlen = config.get(section,"zlen")
self.stepsize = {}
self.number_of_steps = {}
self.fields = {}
for option in config.options(section):
if option.startswith("d"):
self.stepsize[option.replace("d","")] = config.get(section,option)
if option.startswith("n"):
self.number_of_steps[option.replace("n","")] = config.get(section,option)
if option.endswith("_pickled_field"):
field_type = option.replace("_pickled_field","")
self.fields[field_type] = pickle.load( open(config.get(section,option), "rb") )
for component in self.fields[field_type]:
self.fields[field_type][component] = scale*np.array(self.fields[field_type][component],order="FORTRAN")
self.time_dependent_function = time_dependent_function
def __init__(self,config_filepath=None,config=None,section="field parameters",
time_dependent_function=None, **kwargs):
"""
Loads the config_filepath and puts the elements into the objects attributes.
Also loads and saves the fields.
Args:
config_filepath: filepath to the config file for the field. Either this or the
config object needs to be present.
config: A config parser object. Allows the reading of this data from an existent
config parser object.
section: The name of the section in the filepath with the field info. Default
is field parameters.
Attributes:
fields: A dict first pointing to the type of field (i.e. electric
or magnetic) then pointing to components of the field.
stepsize: A dict containing the stepsize of each of the coordinates key
by the coordinate.
number_of_steps: A dict containing the number of steps of each of the coordinates key
by the coordinate.
zmin: The minimum value of the z coordinate in the filepath.
zmax: The max z in the field.
zlen: The length over which the field is applied.
current_position: The position of the center of mass of the pulse
to be used if a distance needs to be calculated.
time_dependent_function: An option function callback (function is a function of top.time)
that can add time dependence to the field. Default is no such function.
"""
if config_filepath is None and config is None:
raise Exception("Either the config_filepath needs to be specified or a config parser object " +
"needs to be passed to the init function.")
if config is None:
config = ConfigParser()
config.read(config_filepath)
self.config = config
self.section = section
self.xmin = config.get(section,"xmin")
self.ymin = config.get(section,"ymin")
self.zmin = config.get(section,"zmin")
self.zmax = config.get(section,"zmax")
self.zlen = config.get(section,"zlen")
self.stepsize = {}
self.number_of_steps = {}
self.fields = {}
for option in config.options(section):
if option.startswith("d"):
self.stepsize[option.replace("d","")] = config.get(section,option)
if option.startswith("n"):
self.number_of_steps[option.replace("n","")] = config.get(section,option)
if option.endswith("_pickled_field"):
field_type = option.replace("_pickled_field","")
self.fields[field_type] = pickle.load( open(config.get(section,option), "rb") )
for component in self.fields[field_type]:
self.fields[field_type][component] = np.array(self.fields[field_type][component],order="FORTRAN")
self.time_dependent_function = time_dependent_function
