python.processes.external.external_nnlo_reweighter.ExternalNNLOReweighter Class Reference

Class for running external NNLO reweighting process. More...

Inheritance diagram for python.processes.external.external_nnlo_reweighter.ExternalNNLOReweighter:

Collaboration diagram for python.processes.external.external_nnlo_reweighter.ExternalNNLOReweighter:

Public Member Functions
def	__init__ (self, *executable_path)
	Constructor. More...
def	needs_scheduling (self, process)
	Report whether the NNLO reweighting process should be scheduled. More...
def	add_keyword (self, keyword, value=None, name=None, frozen=None, hidden=None, description=None, **kwargs)
	Register configurable parameter that is exposed to the user. More...
def	expose (self)
	Add all names to the interface of this object. More...
def	has_keyword (self, keyword)
def	has_parameter (self, parameter)
def	parameters_by_keyword (self, keyword)
	Retrieve all parameters that use a given keyword. More...
def	parameters_by_name (self, name)
	Retrieve all parameters that use a given name. More...

Public Attributes
	name
	Name of this external process. More...
	executable
	External executable that will be used. More...
	parameters
	List of available parameters. More...

Detailed Description

Class for running external NNLO reweighting process.

Author

James Robinson james.nosp@m..rob.nosp@m.inson.nosp@m.@cer.nosp@m.n.ch

Definition at line 11 of file external_nnlo_reweighter.py.

Constructor & Destructor Documentation

__init__()

def python.processes.external.external_nnlo_reweighter.ExternalNNLOReweighter.__init__	(		self,
		*	executable_path
	)

Constructor.

Parameters

executable_path

path to appropriate PowhegBox executable.

Definition at line 17 of file external_nnlo_reweighter.py.

    def __init__(self, *executable_path):
        """! Constructor.
 
        @param executable_path  path to appropriate PowhegBox executable.
        """
        super(ExternalNNLOReweighter, self).__init__("NNLO reweighter", *executable_path)
 
        # Add parameters used by MadSpin
        self.add_keyword("NNLO_reweighting_inputs")
        self.add_keyword("NNLO_output_weights")
 

Member Function Documentation

add_keyword()

def python.processes.configurable.Configurable.add_keyword (   self,   keyword,   value = None,   name = None,   frozen = None,   hidden = None,   description = None, **  kwargs  )

inherited

Register configurable parameter that is exposed to the user.

Parameters

keyword	Powheg keyword that gets written to the runcard.
value	Value of the parameter.
name	Configurable parameter name exposed to the user.
hidden	True if this parameter should be hidden from the user.
frozen	True if this parameter cannot be changed.
description	Description for the run card.
parameter	Name used in the run card if different.

Definition at line 21 of file configurable.py.

    def add_keyword(self, keyword, value=None, name=None, frozen=None, hidden=None, description=None, **kwargs):
        """! Register configurable parameter that is exposed to the user.
 
        @param keyword     Powheg keyword that gets written to the runcard.
        @param value       Value of the parameter.
        @param name        Configurable parameter name exposed to the user.
        @param hidden       True if this parameter should be hidden from the user.
        @param frozen       True if this parameter cannot be changed.
        @param description Description for the run card.
        @param parameter   Name used in the run card if different.
        """
        # Retrieve default settings from registry overriding if requested
        defaults = Registry().get_defaults(keyword)
        if value == defaults["value"] and value is not None and (hidden is not True):
            if keyword not in ["ebeam1", "ebeam2"]:
              logger.debug("Unnecessarily setting parameter {} to {} which is its default value!".format(keyword, value))
        value = [value, defaults["value"]][value is None]
        name = [name, defaults["name"]][name is None]
        description = [description, defaults["description"]][description is None]
        hidden = [hidden, defaults["hidden"]][hidden is None]
        frozen = [frozen, defaults["frozen"]][frozen is None]
        if keyword in [p.keyword for p in self.parameters]:
            raise AttributeError("Keyword '{}' has already been defined for this process".format(keyword))
        self.parameters.append(Parameter(keyword, name=name, value=value, frozen=frozen, hidden=hidden, description=description, **kwargs))
 

expose()

def python.processes.configurable.Configurable.expose (   self )

inherited

Add all names to the interface of this object.

Definition at line 46 of file configurable.py.

    def expose(self):
        """! Add all names to the interface of this object."""
        for parameter in self.parameters:
            setattr(self, parameter.name, parameter.value)
 

has_keyword()

def python.processes.configurable.Configurable.has_keyword (   self,   keyword  )

inherited

Definition at line 51 of file configurable.py.

    def has_keyword(self, keyword):
        return (len(list(self.parameters_by_keyword(keyword))) > 0)
 

has_parameter()

def python.processes.configurable.Configurable.has_parameter (   self,   parameter  )

inherited

Definition at line 54 of file configurable.py.

    def has_parameter(self, parameter):
        return (len(list(self.parameters_by_name(parameter))) > 0)
 

needs_scheduling()

def python.processes.external.external_nnlo_reweighter.ExternalNNLOReweighter.needs_scheduling	(		self,
			process
	)

Report whether the NNLO reweighting process should be scheduled.

Parameters

process

PowhegBox process.

Reimplemented from python.processes.external.external_base.ExternalBase.

Definition at line 28 of file external_nnlo_reweighter.py.

    def needs_scheduling(self, process):
        """! Report whether the NNLO reweighting process should be scheduled.
 
        @param process PowhegBox process.
        """
        self.expose()
        # Check first whether any reweighting inputs were provided. DYNNLO does not require outputs no test for these.
        if len(self.NNLO_reweighting_inputs) == 0:
            return False
        # Check that NNLO reweighting arguments are dictionaries
        if not isinstance(self.NNLO_reweighting_inputs, collections.OrderedDict):
            if isinstance(self.NNLO_reweighting_inputs, dict):
                self.decorated.logger.warning("NNLO_reweighting_inputs has been provided as an old-style unordered dictionary.")
            else:
                self.decorated.logger.fatal("NNLO_reweighting_inputs does not appear to be a valid label => file dictionary!")
                raise ValueError("NNLO reweighting cannot be performed")
        # Check that NNLO output weight arguments are dictionaries
        if not isinstance(self.NNLO_output_weights, collections.OrderedDict):
            if isinstance(self.NNLO_output_weights, dict):
                self.decorated.logger.warning("NNLO_output_weights has been provided as an unordered dictionary! Weight numbering will be arbitrary")
            else:
                self.decorated.logger.fatal("NNLO_output_weights does not appear to be a valid ID string => calculation dictionary!")
                raise ValueError("NNLO reweighting cannot be performed")
        # Ensure that reweighting has been scheduled
        process.add_algorithm("reweighting")
        return True

parameters_by_keyword()

def python.processes.configurable.Configurable.parameters_by_keyword (   self,   keyword  )

inherited

Retrieve all parameters that use a given keyword.

Parameters

keyword

Powheg keyword that gets written to the runcard.

Definition at line 57 of file configurable.py.

    def parameters_by_keyword(self, keyword):
        """! Retrieve all parameters that use a given keyword.
 
        @param keyword  Powheg keyword that gets written to the runcard.
        """
        return [p for p in self.parameters if p.keyword == keyword]
 

parameters_by_name()

def python.processes.configurable.Configurable.parameters_by_name (   self,   name  )

inherited

Retrieve all parameters that use a given name.

Parameters

name	Configurable parameter name exposed to the user.

Definition at line 64 of file configurable.py.

    def parameters_by_name(self, name):
        """! Retrieve all parameters that use a given name.
 
        @param name        Configurable parameter name exposed to the user.
        """
        return [p for p in self.parameters if p.name == name]

Member Data Documentation

executable

python.processes.external.external_base.ExternalBase.executable

inherited

External executable that will be used.

Definition at line 32 of file external_base.py.

name

python.processes.external.external_base.ExternalBase.name

inherited

Name of this external process.

Definition at line 28 of file external_base.py.

parameters

python.processes.configurable.Configurable.parameters

inherited

List of available parameters.

Definition at line 19 of file configurable.py.

---

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

• external_nnlo_reweighter.py