NeuroML C++ API  2.3.0
C++ API for NeuroML 2
List of all members
neuroml2::TimeDerivative Class Reference

Class corresponding to the TimeDerivative schema type. More...

#include <NeuroML_v2.3.hxx>

+ Inheritance diagram for neuroml2::TimeDerivative:
+ Collaboration diagram for neuroml2::TimeDerivative:

variable

Accessor and modifier functions for the variable required attribute.

typedef ::xml_schema::string variable_type
 Attribute type.
 
typedef ::xsd::cxx::tree::traits< variable_type, char > variable_traits
 Attribute traits type.
 
const variable_typevariable () const
 Return a read-only (constant) reference to the attribute. More...
 
variable_typevariable ()
 Return a read-write reference to the attribute. More...
 
void variable (const variable_type &x)
 Set the attribute value. More...
 
void variable (::std::unique_ptr< variable_type > p)
 Set the attribute value without copying. More...
 

value

Accessor and modifier functions for the value required attribute.

typedef ::xml_schema::string value_type
 Attribute type.
 
typedef ::xsd::cxx::tree::traits< value_type, char > value_traits
 Attribute traits type.
 
const value_typevalue () const
 Return a read-only (constant) reference to the attribute. More...
 
value_typevalue ()
 Return a read-write reference to the attribute. More...
 
void value (const value_type &x)
 Set the attribute value. More...
 
void value (::std::unique_ptr< value_type > p)
 Set the attribute value without copying. More...
 

Constructors

 TimeDerivative (const variable_type &, const value_type &)
 Create an instance from the ultimate base and initializers for required elements and attributes.
 
 TimeDerivative (const ::xercesc::DOMElement &e, ::xml_schema::flags f=0, ::xml_schema::container *c=0)
 Create an instance from a DOM element. More...
 
 TimeDerivative (const TimeDerivative &x, ::xml_schema::flags f=0, ::xml_schema::container *c=0)
 Copy constructor. More...
 
virtual TimeDerivative_clone (::xml_schema::flags f=0, ::xml_schema::container *c=0) const
 Copy the instance polymorphically. More...
 
TimeDerivativeoperator= (const TimeDerivative &x)
 Copy assignment operator. More...
 
virtual ~TimeDerivative ()
 Destructor.
 

Detailed Description

Class corresponding to the TimeDerivative schema type.

Definition at line 8604 of file NeuroML_v2.3.hxx.

Constructor & Destructor Documentation

◆ TimeDerivative() [1/2]

neuroml2::TimeDerivative::TimeDerivative ( const ::xercesc::DOMElement &  e,
::xml_schema::flags  f = 0,
::xml_schema::container c = 0 
)

Create an instance from a DOM element.

Parameters
eA DOM element to extract the data from.
fFlags to create the new instance with.
cA pointer to the object that will contain the new instance.

Definition at line 21232 of file NeuroML_v2.3.cxx.

◆ TimeDerivative() [2/2]

neuroml2::TimeDerivative::TimeDerivative ( const TimeDerivative x,
::xml_schema::flags  f = 0,
::xml_schema::container c = 0 
)

Copy constructor.

Parameters
xAn instance to make a copy of.
fFlags to create the copy with.
cA pointer to the object that will contain the copy.

For polymorphic object models use the _clone function instead.

Definition at line 21222 of file NeuroML_v2.3.cxx.

Member Function Documentation

◆ _clone()

TimeDerivative * neuroml2::TimeDerivative::_clone ( ::xml_schema::flags  f = 0,
::xml_schema::container c = 0 
) const
virtual

Copy the instance polymorphically.

Parameters
fFlags to create the copy with.
cA pointer to the object that will contain the copy.
Returns
A pointer to the dynamically allocated copy.

This function ensures that the dynamic type of the instance is used for copying and should be used for polymorphic object models instead of the copy constructor.

Definition at line 21285 of file NeuroML_v2.3.cxx.

◆ operator=()

TimeDerivative & neuroml2::TimeDerivative::operator= ( const TimeDerivative x)

Copy assignment operator.

Parameters
xAn instance to make a copy of.
Returns
A reference to itself.

For polymorphic object models use the _clone function instead.

Definition at line 21292 of file NeuroML_v2.3.cxx.

◆ value() [1/4]

TimeDerivative::value_type & neuroml2::TimeDerivative::value ( )

Return a read-write reference to the attribute.

Returns
A reference to the attribute.

Definition at line 1302 of file NeuroML_v2.3.cxx.

◆ value() [2/4]

const TimeDerivative::value_type & neuroml2::TimeDerivative::value ( ) const

Return a read-only (constant) reference to the attribute.

Returns
A constant reference to the attribute.

Definition at line 1296 of file NeuroML_v2.3.cxx.

◆ value() [3/4]

void neuroml2::TimeDerivative::value ( ::std::unique_ptr< value_type p)

Set the attribute value without copying.

Parameters
pA new value to use.

This function will try to use the passed value directly instead of making a copy.

Definition at line 1314 of file NeuroML_v2.3.cxx.

◆ value() [4/4]

void neuroml2::TimeDerivative::value ( const value_type x)

Set the attribute value.

Parameters
xA new value to set.

This function makes a copy of its argument and sets it as the new value of the attribute.

Definition at line 1308 of file NeuroML_v2.3.cxx.

◆ variable() [1/4]

TimeDerivative::variable_type & neuroml2::TimeDerivative::variable ( )

Return a read-write reference to the attribute.

Returns
A reference to the attribute.

Definition at line 1278 of file NeuroML_v2.3.cxx.

◆ variable() [2/4]

const TimeDerivative::variable_type & neuroml2::TimeDerivative::variable ( ) const

Return a read-only (constant) reference to the attribute.

Returns
A constant reference to the attribute.

Definition at line 1272 of file NeuroML_v2.3.cxx.

◆ variable() [3/4]

void neuroml2::TimeDerivative::variable ( ::std::unique_ptr< variable_type p)

Set the attribute value without copying.

Parameters
pA new value to use.

This function will try to use the passed value directly instead of making a copy.

Definition at line 1290 of file NeuroML_v2.3.cxx.

◆ variable() [4/4]

void neuroml2::TimeDerivative::variable ( const variable_type x)

Set the attribute value.

Parameters
xA new value to set.

This function makes a copy of its argument and sets it as the new value of the attribute.

Definition at line 1284 of file NeuroML_v2.3.cxx.


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