/usr/lib/python2.7/dist-packages/openturns/experiment.py is in python-openturns 1.5-7build2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# Version 2.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
"""
Designs of experiments.
"""
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_experiment', [dirname(__file__)])
except ImportError:
import _experiment
return _experiment
if fp is not None:
try:
_mod = imp.load_module('_experiment', fp, pathname, description)
finally:
fp.close()
return _mod
_experiment = swig_import_helper()
del swig_import_helper
else:
import _experiment
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
if (name == "thisown"): return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name,None)
if method: return method(self,value)
if (not static):
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value):
return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name):
if (name == "thisown"): return self.this.own()
method = class_type.__swig_getmethods__.get(name,None)
if method: return method(self)
raise AttributeError(name)
def _swig_repr(self):
try: strthis = "proxy of " + self.this.__repr__()
except: strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object : pass
_newclass = 0
class SwigPyIterator(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _experiment.delete_SwigPyIterator
__del__ = lambda self : None;
def value(self): return _experiment.SwigPyIterator_value(self)
def incr(self, n=1): return _experiment.SwigPyIterator_incr(self, n)
def decr(self, n=1): return _experiment.SwigPyIterator_decr(self, n)
def distance(self, *args): return _experiment.SwigPyIterator_distance(self, *args)
def equal(self, *args): return _experiment.SwigPyIterator_equal(self, *args)
def copy(self): return _experiment.SwigPyIterator_copy(self)
def next(self): return _experiment.SwigPyIterator_next(self)
def __next__(self): return _experiment.SwigPyIterator___next__(self)
def previous(self): return _experiment.SwigPyIterator_previous(self)
def advance(self, *args): return _experiment.SwigPyIterator_advance(self, *args)
def __eq__(self, *args): return _experiment.SwigPyIterator___eq__(self, *args)
def __ne__(self, *args): return _experiment.SwigPyIterator___ne__(self, *args)
def __iadd__(self, *args): return _experiment.SwigPyIterator___iadd__(self, *args)
def __isub__(self, *args): return _experiment.SwigPyIterator___isub__(self, *args)
def __add__(self, *args): return _experiment.SwigPyIterator___add__(self, *args)
def __sub__(self, *args): return _experiment.SwigPyIterator___sub__(self, *args)
def __iter__(self): return self
SwigPyIterator_swigregister = _experiment.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
GCC_VERSION = _experiment.GCC_VERSION
class TestFailed:
"""TestFailed is used to raise an uniform exception in tests."""
__type = "TestFailed"
def __init__(self, reason=""):
self.reason = reason
def type(self):
return TestFailed.__type
def what(self):
return self.reason
def __str__(self):
return TestFailed.__type + ": " + self.reason
def __lshift__(self, ch):
self.reason += ch
return self
import openturns.common
import openturns.typ
import openturns.wrapper
import openturns.statistics
import openturns.graph
import openturns.func
import openturns.geom
class ExperimentImplementation(openturns.common.PersistentObject):
"""
Base class for design of experiments.
Considering :math:`\\vect{x}=x^1,\\dots, x^n` a vector of input parameters, this
class is used to determine a particular set of values of :math:`\\vect{x}`
according to a particular design of experiments.
Different types of design of experiments can be determined:
- some stratified patterns: axial, composite, factorial or box patterns,
- some weighted patterns that we can split into different categories:
the random patterns, the low discrepancy sequences and the deterministic
patterns.
See also
--------
StratifiedExperiment, WeightedExperiment
"""
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ExperimentImplementation, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ExperimentImplementation, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.ExperimentImplementation_getClassName(self)
def __repr__(self): return _experiment.ExperimentImplementation___repr__(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.ExperimentImplementation_generate(self)
def __init__(self, *args):
this = _experiment.new_ExperimentImplementation(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_ExperimentImplementation
__del__ = lambda self : None;
ExperimentImplementation_swigregister = _experiment.ExperimentImplementation_swigregister
ExperimentImplementation_swigregister(ExperimentImplementation)
class StratifiedExperiment(ExperimentImplementation):
__swig_setmethods__ = {}
for _s in [ExperimentImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, StratifiedExperiment, name, value)
__swig_getmethods__ = {}
for _s in [ExperimentImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, StratifiedExperiment, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.StratifiedExperiment_getClassName(self)
def __repr__(self): return _experiment.StratifiedExperiment___repr__(self)
def setCenter(self, *args): return _experiment.StratifiedExperiment_setCenter(self, *args)
def getCenter(self): return _experiment.StratifiedExperiment_getCenter(self)
def setLevels(self, *args): return _experiment.StratifiedExperiment_setLevels(self, *args)
def getLevels(self): return _experiment.StratifiedExperiment_getLevels(self)
def __init__(self, *args):
this = _experiment.new_StratifiedExperiment(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_StratifiedExperiment
__del__ = lambda self : None;
StratifiedExperiment_swigregister = _experiment.StratifiedExperiment_swigregister
StratifiedExperiment_swigregister(StratifiedExperiment)
class ExperimentImplementationTypedInterfaceObject(openturns.common.InterfaceObject):
__swig_setmethods__ = {}
for _s in [openturns.common.InterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ExperimentImplementationTypedInterfaceObject, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.InterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ExperimentImplementationTypedInterfaceObject, name)
__repr__ = _swig_repr
def __init__(self, *args):
this = _experiment.new_ExperimentImplementationTypedInterfaceObject(*args)
try: self.this.append(this)
except: self.this = this
def getImplementation(self, *args):
"""
Accessor to the underlying implementation.
Returns
-------
impl : Implementation
The implementation class.
"""
return _experiment.ExperimentImplementationTypedInterfaceObject_getImplementation(self, *args)
def setName(self, *args):
"""
Accessor to the object's name.
Parameters
----------
name : string
The name of the object.
"""
return _experiment.ExperimentImplementationTypedInterfaceObject_setName(self, *args)
def getName(self):
"""
Accessor to the object's name.
Returns
-------
name : string
The name of the object.
"""
return _experiment.ExperimentImplementationTypedInterfaceObject_getName(self)
def __eq__(self, *args): return _experiment.ExperimentImplementationTypedInterfaceObject___eq__(self, *args)
__swig_destroy__ = _experiment.delete_ExperimentImplementationTypedInterfaceObject
__del__ = lambda self : None;
ExperimentImplementationTypedInterfaceObject_swigregister = _experiment.ExperimentImplementationTypedInterfaceObject_swigregister
ExperimentImplementationTypedInterfaceObject_swigregister(ExperimentImplementationTypedInterfaceObject)
class Experiment(ExperimentImplementationTypedInterfaceObject):
"""
Base class for design of experiments.
Considering :math:`\\vect{x}=x^1,\\dots, x^n` a vector of input parameters, this
class is used to determine a particular set of values of :math:`\\vect{x}`
according to a particular design of experiments.
Different types of design of experiments can be determined:
- some stratified patterns: axial, composite, factorial or box patterns,
- some weighted patterns that we can split into different categories:
the random patterns, the low discrepancy sequences and the deterministic
patterns.
See also
--------
StratifiedExperiment, WeightedExperiment
"""
__swig_setmethods__ = {}
for _s in [ExperimentImplementationTypedInterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Experiment, name, value)
__swig_getmethods__ = {}
for _s in [ExperimentImplementationTypedInterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Experiment, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Experiment_getClassName(self)
def __repr__(self): return _experiment.Experiment___repr__(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.Experiment_generate(self)
def setImplementation(self, *args):
"""
Accessor to the underlying implementation.
Parameters
----------
implementation : ExperimentImplementation
An ExperimentImplementation object.
Examples
--------
>>> import openturns as ot
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> myExperimentImplementation = myExperiment.getImplementation()
>>> mySecondExperiment = ot.Experiment()
>>> mySecondExperiment.setImplementation(myExperimentImplementation)
"""
return _experiment.Experiment_setImplementation(self, *args)
def __init__(self, *args):
this = _experiment.new_Experiment(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Experiment
__del__ = lambda self : None;
Experiment_swigregister = _experiment.Experiment_swigregister
Experiment_swigregister(Experiment)
class Axial(StratifiedExperiment):
__swig_setmethods__ = {}
for _s in [StratifiedExperiment]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Axial, name, value)
__swig_getmethods__ = {}
for _s in [StratifiedExperiment]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Axial, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Axial_getClassName(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.Axial_generate(self)
def __repr__(self): return _experiment.Axial___repr__(self)
def __init__(self, *args):
this = _experiment.new_Axial(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Axial
__del__ = lambda self : None;
Axial_swigregister = _experiment.Axial_swigregister
Axial_swigregister(Axial)
class Composite(StratifiedExperiment):
__swig_setmethods__ = {}
for _s in [StratifiedExperiment]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Composite, name, value)
__swig_getmethods__ = {}
for _s in [StratifiedExperiment]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Composite, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Composite_getClassName(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.Composite_generate(self)
def __repr__(self): return _experiment.Composite___repr__(self)
def __init__(self, *args):
this = _experiment.new_Composite(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Composite
__del__ = lambda self : None;
Composite_swigregister = _experiment.Composite_swigregister
Composite_swigregister(Composite)
class Factorial(StratifiedExperiment):
__swig_setmethods__ = {}
for _s in [StratifiedExperiment]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Factorial, name, value)
__swig_getmethods__ = {}
for _s in [StratifiedExperiment]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Factorial, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Factorial_getClassName(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.Factorial_generate(self)
def __repr__(self): return _experiment.Factorial___repr__(self)
def __init__(self, *args):
this = _experiment.new_Factorial(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Factorial
__del__ = lambda self : None;
Factorial_swigregister = _experiment.Factorial_swigregister
Factorial_swigregister(Factorial)
class Box(StratifiedExperiment):
__swig_setmethods__ = {}
for _s in [StratifiedExperiment]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Box, name, value)
__swig_getmethods__ = {}
for _s in [StratifiedExperiment]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Box, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Box_getClassName(self)
def generate(self):
"""
Generate points according to the type of the experiment.
Returns
-------
sample : 2D float sequence
The points which constitute the design of experiments. The sampling method
is defined by the nature of the experiment.
Examples
--------
>>> import openturns as ot
>>> ot.RandomGenerator.SetSeed(0)
>>> myExperiment = ot.Experiment(ot.MonteCarloExperiment(ot.Normal(2),5))
>>> print(myExperiment.generate())
[ marginal 1 marginal 2 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
"""
return _experiment.Box_generate(self)
def __repr__(self): return _experiment.Box___repr__(self)
def setLevels(self, *args): return _experiment.Box_setLevels(self, *args)
def __init__(self, *args):
this = _experiment.new_Box(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Box
__del__ = lambda self : None;
Box_swigregister = _experiment.Box_swigregister
Box_swigregister(Box)
class CombinatorialGeneratorImplementation(openturns.common.PersistentObject):
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, CombinatorialGeneratorImplementation, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, CombinatorialGeneratorImplementation, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.CombinatorialGeneratorImplementation_getClassName(self)
def __repr__(self): return _experiment.CombinatorialGeneratorImplementation___repr__(self)
def generate(self): return _experiment.CombinatorialGeneratorImplementation_generate(self)
def __init__(self, *args):
this = _experiment.new_CombinatorialGeneratorImplementation(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_CombinatorialGeneratorImplementation
__del__ = lambda self : None;
CombinatorialGeneratorImplementation_swigregister = _experiment.CombinatorialGeneratorImplementation_swigregister
CombinatorialGeneratorImplementation_swigregister(CombinatorialGeneratorImplementation)
class CombinatorialGeneratorImplementationTypedInterfaceObject(openturns.common.InterfaceObject):
__swig_setmethods__ = {}
for _s in [openturns.common.InterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, CombinatorialGeneratorImplementationTypedInterfaceObject, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.InterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, CombinatorialGeneratorImplementationTypedInterfaceObject, name)
__repr__ = _swig_repr
def __init__(self, *args):
this = _experiment.new_CombinatorialGeneratorImplementationTypedInterfaceObject(*args)
try: self.this.append(this)
except: self.this = this
def getImplementation(self, *args):
"""
Accessor to the underlying implementation.
Returns
-------
impl : Implementation
The implementation class.
"""
return _experiment.CombinatorialGeneratorImplementationTypedInterfaceObject_getImplementation(self, *args)
def setName(self, *args):
"""
Accessor to the object's name.
Parameters
----------
name : string
The name of the object.
"""
return _experiment.CombinatorialGeneratorImplementationTypedInterfaceObject_setName(self, *args)
def getName(self):
"""
Accessor to the object's name.
Returns
-------
name : string
The name of the object.
"""
return _experiment.CombinatorialGeneratorImplementationTypedInterfaceObject_getName(self)
def __eq__(self, *args): return _experiment.CombinatorialGeneratorImplementationTypedInterfaceObject___eq__(self, *args)
__swig_destroy__ = _experiment.delete_CombinatorialGeneratorImplementationTypedInterfaceObject
__del__ = lambda self : None;
CombinatorialGeneratorImplementationTypedInterfaceObject_swigregister = _experiment.CombinatorialGeneratorImplementationTypedInterfaceObject_swigregister
CombinatorialGeneratorImplementationTypedInterfaceObject_swigregister(CombinatorialGeneratorImplementationTypedInterfaceObject)
class CombinatorialGenerator(CombinatorialGeneratorImplementationTypedInterfaceObject):
__swig_setmethods__ = {}
for _s in [CombinatorialGeneratorImplementationTypedInterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, CombinatorialGenerator, name, value)
__swig_getmethods__ = {}
for _s in [CombinatorialGeneratorImplementationTypedInterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, CombinatorialGenerator, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.CombinatorialGenerator_getClassName(self)
def __repr__(self): return _experiment.CombinatorialGenerator___repr__(self)
def generate(self): return _experiment.CombinatorialGenerator_generate(self)
def setImplementation(self, *args): return _experiment.CombinatorialGenerator_setImplementation(self, *args)
def __init__(self, *args):
this = _experiment.new_CombinatorialGenerator(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_CombinatorialGenerator
__del__ = lambda self : None;
CombinatorialGenerator_swigregister = _experiment.CombinatorialGenerator_swigregister
CombinatorialGenerator_swigregister(CombinatorialGenerator)
class Combinations(CombinatorialGeneratorImplementation):
__swig_setmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Combinations, name, value)
__swig_getmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Combinations, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Combinations_getClassName(self)
def generate(self): return _experiment.Combinations_generate(self)
def __repr__(self): return _experiment.Combinations___repr__(self)
def setK(self, *args): return _experiment.Combinations_setK(self, *args)
def getK(self): return _experiment.Combinations_getK(self)
def setN(self, *args): return _experiment.Combinations_setN(self, *args)
def getN(self): return _experiment.Combinations_getN(self)
def __init__(self, *args):
this = _experiment.new_Combinations(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Combinations
__del__ = lambda self : None;
Combinations_swigregister = _experiment.Combinations_swigregister
Combinations_swigregister(Combinations)
class KPermutations(CombinatorialGeneratorImplementation):
__swig_setmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, KPermutations, name, value)
__swig_getmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, KPermutations, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.KPermutations_getClassName(self)
def generate(self): return _experiment.KPermutations_generate(self)
def __repr__(self): return _experiment.KPermutations___repr__(self)
def setK(self, *args): return _experiment.KPermutations_setK(self, *args)
def getK(self): return _experiment.KPermutations_getK(self)
def setN(self, *args): return _experiment.KPermutations_setN(self, *args)
def getN(self): return _experiment.KPermutations_getN(self)
def __init__(self, *args):
this = _experiment.new_KPermutations(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_KPermutations
__del__ = lambda self : None;
KPermutations_swigregister = _experiment.KPermutations_swigregister
KPermutations_swigregister(KPermutations)
class Tuples(CombinatorialGeneratorImplementation):
__swig_setmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Tuples, name, value)
__swig_getmethods__ = {}
for _s in [CombinatorialGeneratorImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Tuples, name)
def getClassName(self):
"""
Accessor to the object's name.
Returns
-------
class_name : str
The object class name (`object.__class__.__name__`).
"""
return _experiment.Tuples_getClassName(self)
def generate(self): return _experiment.Tuples_generate(self)
def __repr__(self): return _experiment.Tuples___repr__(self)
def setBounds(self, *args): return _experiment.Tuples_setBounds(self, *args)
def getBounds(self): return _experiment.Tuples_getBounds(self)
def __init__(self, *args):
this = _experiment.new_Tuples(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _experiment.delete_Tuples
__del__ = lambda self : None;
Tuples_swigregister = _experiment.Tuples_swigregister
Tuples_swigregister(Tuples)
# This file is compatible with both classic and new-style classes.
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