WARPXM v1.10.0
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warpy.apps.functions.arbitrary.gaussian Class Reference

Multi-dimensional isotropic normal distribution function with capped min/max values. More...

Inheritance diagram for warpy.apps.functions.arbitrary.gaussian:
warpy.apps.application.application warpy.apps.application.applications_container

Detailed Description

Multi-dimensional isotropic normal distribution function with capped min/max values.

See also
WmICFunction_Gaussian

Public Member Functions

def __init__ (self, name, variable, center=None, std_dev=None, minimum=None, maximum=None, average=None, variable_components=None)
 
- Public Member Functions inherited from warpy.apps.application.application
def __init__ (self, name, req_attrs, opt_attrs=None, variables=None, const_variables=None, sub_applications=None)
 
def map_components (self, comp_map)
 
def variables (self)
 
def const_variables (self)
 
def components (self)
 
def const_components (self)
 
def attrs (self, stage=None)
 
- Public Member Functions inherited from warpy.apps.application.applications_container
def __init__ (self, name, applications, req_attrs, opt_attrs=None, extra_components=None, extra_const_components=None)
 
def convert_variable_to_components_list (self, variable, variable_components=None)
 
def convert_variables_to_components_list (self, variables, variables_components=None)
 
def convert_components_to_indexes (self, comps_list)
 
def internal_components (self)
 
def internal_const_components (self)
 
def map_components (self, comp_map)
 
def generate (self, start=None, stop=None, stride=1, explode_name=True, explode_args=True)
 generates a list of blocks representing this pywarp object
 

Additional Inherited Members

- Public Attributes inherited from warpy.apps.application.application
 vars_
 
 const_vars_
 
 components_
 
 const_components_
 
 component_map
 
- Public Attributes inherited from warpy.apps.application.applications_container
 component_map
 
 applications
 
 int_components_
 
 int_const_components_
 

Constructor & Destructor Documentation

◆ __init__()

def warpy.apps.functions.arbitrary.gaussian.__init__ (   self,
  name,
  variable,
  center = None,
  std_dev = None,
  minimum = None,
  maximum = None,
  average = None,
  variable_components = None 
)
Parameters
name
centernot used
std_devstandard deviation
averageposition of the gaussian center
minimumminimum value of gaussian
maximummaximum value of gaussian

Reimplemented from warpy.apps.application.application.


The documentation for this class was generated from the following file: