# This file was automatically generated by SWIG (http://www.swig.org). # Version 2.0.7 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. """ NLopt is a multi-language library for nonlinear optimization (local or global, with or without derivatives, and supporting nonlinear constraints). Complete documentation, including a Python tutorial, can be found at the NLopt web page: http://ab-initio.mit.edu/nlopt """ 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('_nlopt', [dirname(__file__)]) except ImportError: import _nlopt return _nlopt if fp is not None: try: _mod = imp.load_module('_nlopt', fp, pathname, description) finally: fp.close() return _mod _nlopt = swig_import_helper() del swig_import_helper else: import _nlopt 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__ = _nlopt.delete_SwigPyIterator __del__ = lambda self : None; def value(self): return _nlopt.SwigPyIterator_value(self) def incr(self, n=1): return _nlopt.SwigPyIterator_incr(self, n) def decr(self, n=1): return _nlopt.SwigPyIterator_decr(self, n) def distance(self, *args): return _nlopt.SwigPyIterator_distance(self, *args) def equal(self, *args): return _nlopt.SwigPyIterator_equal(self, *args) def copy(self): return _nlopt.SwigPyIterator_copy(self) def next(self): return _nlopt.SwigPyIterator_next(self) def __next__(self): return _nlopt.SwigPyIterator___next__(self) def previous(self): return _nlopt.SwigPyIterator_previous(self) def advance(self, *args): return _nlopt.SwigPyIterator_advance(self, *args) def __eq__(self, *args): return _nlopt.SwigPyIterator___eq__(self, *args) def __ne__(self, *args): return _nlopt.SwigPyIterator___ne__(self, *args) def __iadd__(self, *args): return _nlopt.SwigPyIterator___iadd__(self, *args) def __isub__(self, *args): return _nlopt.SwigPyIterator___isub__(self, *args) def __add__(self, *args): return _nlopt.SwigPyIterator___add__(self, *args) def __sub__(self, *args): return _nlopt.SwigPyIterator___sub__(self, *args) def __iter__(self): return self SwigPyIterator_swigregister = _nlopt.SwigPyIterator_swigregister SwigPyIterator_swigregister(SwigPyIterator) class nlopt_doublevector(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, nlopt_doublevector, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, nlopt_doublevector, name) __repr__ = _swig_repr def iterator(self): return _nlopt.nlopt_doublevector_iterator(self) def __iter__(self): return self.iterator() def __nonzero__(self): return _nlopt.nlopt_doublevector___nonzero__(self) def __bool__(self): return _nlopt.nlopt_doublevector___bool__(self) def __len__(self): return _nlopt.nlopt_doublevector___len__(self) def pop(self): return _nlopt.nlopt_doublevector_pop(self) def __getslice__(self, *args): return _nlopt.nlopt_doublevector___getslice__(self, *args) def __setslice__(self, *args): return _nlopt.nlopt_doublevector___setslice__(self, *args) def __delslice__(self, *args): return _nlopt.nlopt_doublevector___delslice__(self, *args) def __delitem__(self, *args): return _nlopt.nlopt_doublevector___delitem__(self, *args) def __getitem__(self, *args): return _nlopt.nlopt_doublevector___getitem__(self, *args) def __setitem__(self, *args): return _nlopt.nlopt_doublevector___setitem__(self, *args) def append(self, *args): return _nlopt.nlopt_doublevector_append(self, *args) def empty(self): return _nlopt.nlopt_doublevector_empty(self) def size(self): return _nlopt.nlopt_doublevector_size(self) def clear(self): return _nlopt.nlopt_doublevector_clear(self) def swap(self, *args): return _nlopt.nlopt_doublevector_swap(self, *args) def get_allocator(self): return _nlopt.nlopt_doublevector_get_allocator(self) def begin(self): return _nlopt.nlopt_doublevector_begin(self) def end(self): return _nlopt.nlopt_doublevector_end(self) def rbegin(self): return _nlopt.nlopt_doublevector_rbegin(self) def rend(self): return _nlopt.nlopt_doublevector_rend(self) def pop_back(self): return _nlopt.nlopt_doublevector_pop_back(self) def erase(self, *args): return _nlopt.nlopt_doublevector_erase(self, *args) def __init__(self, *args): this = _nlopt.new_nlopt_doublevector(*args) try: self.this.append(this) except: self.this = this def push_back(self, *args): return _nlopt.nlopt_doublevector_push_back(self, *args) def front(self): return _nlopt.nlopt_doublevector_front(self) def back(self): return _nlopt.nlopt_doublevector_back(self) def assign(self, *args): return _nlopt.nlopt_doublevector_assign(self, *args) def resize(self, *args): return _nlopt.nlopt_doublevector_resize(self, *args) def insert(self, *args): return _nlopt.nlopt_doublevector_insert(self, *args) def reserve(self, *args): return _nlopt.nlopt_doublevector_reserve(self, *args) def capacity(self): return _nlopt.nlopt_doublevector_capacity(self) __swig_destroy__ = _nlopt.delete_nlopt_doublevector __del__ = lambda self : None; nlopt_doublevector_swigregister = _nlopt.nlopt_doublevector_swigregister nlopt_doublevector_swigregister(nlopt_doublevector) ForcedStop = _nlopt.ForcedStop RoundoffLimited = _nlopt.RoundoffLimited def nlopt_get_initial_step(*args): return _nlopt.nlopt_get_initial_step(*args) nlopt_get_initial_step = _nlopt.nlopt_get_initial_step GN_DIRECT = _nlopt.GN_DIRECT GN_DIRECT_L = _nlopt.GN_DIRECT_L GN_DIRECT_L_RAND = _nlopt.GN_DIRECT_L_RAND GN_DIRECT_NOSCAL = _nlopt.GN_DIRECT_NOSCAL GN_DIRECT_L_NOSCAL = _nlopt.GN_DIRECT_L_NOSCAL GN_DIRECT_L_RAND_NOSCAL = _nlopt.GN_DIRECT_L_RAND_NOSCAL GN_ORIG_DIRECT = _nlopt.GN_ORIG_DIRECT GN_ORIG_DIRECT_L = _nlopt.GN_ORIG_DIRECT_L GD_STOGO = _nlopt.GD_STOGO GD_STOGO_RAND = _nlopt.GD_STOGO_RAND LD_LBFGS_NOCEDAL = _nlopt.LD_LBFGS_NOCEDAL LD_LBFGS = _nlopt.LD_LBFGS LN_PRAXIS = _nlopt.LN_PRAXIS LD_VAR1 = _nlopt.LD_VAR1 LD_VAR2 = _nlopt.LD_VAR2 LD_TNEWTON = _nlopt.LD_TNEWTON LD_TNEWTON_RESTART = _nlopt.LD_TNEWTON_RESTART LD_TNEWTON_PRECOND = _nlopt.LD_TNEWTON_PRECOND LD_TNEWTON_PRECOND_RESTART = _nlopt.LD_TNEWTON_PRECOND_RESTART GN_CRS2_LM = _nlopt.GN_CRS2_LM GN_MLSL = _nlopt.GN_MLSL GD_MLSL = _nlopt.GD_MLSL GN_MLSL_LDS = _nlopt.GN_MLSL_LDS GD_MLSL_LDS = _nlopt.GD_MLSL_LDS LD_MMA = _nlopt.LD_MMA LN_COBYLA = _nlopt.LN_COBYLA LN_NEWUOA = _nlopt.LN_NEWUOA LN_NEWUOA_BOUND = _nlopt.LN_NEWUOA_BOUND LN_NELDERMEAD = _nlopt.LN_NELDERMEAD LN_SBPLX = _nlopt.LN_SBPLX LN_AUGLAG = _nlopt.LN_AUGLAG LD_AUGLAG = _nlopt.LD_AUGLAG LN_AUGLAG_EQ = _nlopt.LN_AUGLAG_EQ LD_AUGLAG_EQ = _nlopt.LD_AUGLAG_EQ LN_BOBYQA = _nlopt.LN_BOBYQA GN_ISRES = _nlopt.GN_ISRES AUGLAG = _nlopt.AUGLAG AUGLAG_EQ = _nlopt.AUGLAG_EQ G_MLSL = _nlopt.G_MLSL G_MLSL_LDS = _nlopt.G_MLSL_LDS LD_SLSQP = _nlopt.LD_SLSQP LD_CCSAQ = _nlopt.LD_CCSAQ NUM_ALGORITHMS = _nlopt.NUM_ALGORITHMS FAILURE = _nlopt.FAILURE INVALID_ARGS = _nlopt.INVALID_ARGS OUT_OF_MEMORY = _nlopt.OUT_OF_MEMORY ROUNDOFF_LIMITED = _nlopt.ROUNDOFF_LIMITED FORCED_STOP = _nlopt.FORCED_STOP SUCCESS = _nlopt.SUCCESS STOPVAL_REACHED = _nlopt.STOPVAL_REACHED FTOL_REACHED = _nlopt.FTOL_REACHED XTOL_REACHED = _nlopt.XTOL_REACHED MAXEVAL_REACHED = _nlopt.MAXEVAL_REACHED MAXTIME_REACHED = _nlopt.MAXTIME_REACHED class roundoff_limited(Exception): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, roundoff_limited, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, roundoff_limited, name) __repr__ = _swig_repr def __init__(self): this = _nlopt.new_roundoff_limited() try: self.this.append(this) except: self.this = this __swig_destroy__ = _nlopt.delete_roundoff_limited __del__ = lambda self : None; roundoff_limited_swigregister = _nlopt.roundoff_limited_swigregister roundoff_limited_swigregister(roundoff_limited) class forced_stop(Exception): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, forced_stop, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, forced_stop, name) __repr__ = _swig_repr def __init__(self): this = _nlopt.new_forced_stop() try: self.this.append(this) except: self.this = this __swig_destroy__ = _nlopt.delete_forced_stop __del__ = lambda self : None; forced_stop_swigregister = _nlopt.forced_stop_swigregister forced_stop_swigregister(forced_stop) class opt(_object): __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, opt, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, opt, name) __repr__ = _swig_repr __swig_destroy__ = _nlopt.delete_opt __del__ = lambda self : None; def __init__(self, *args): this = _nlopt.new_opt(*args) try: self.this.append(this) except: self.this = this def optimize(self, *args): return _nlopt.opt_optimize(self, *args) def last_optimize_result(self): return _nlopt.opt_last_optimize_result(self) def last_optimum_value(self): return _nlopt.opt_last_optimum_value(self) def get_algorithm(self): return _nlopt.opt_get_algorithm(self) def get_algorithm_name(self): return _nlopt.opt_get_algorithm_name(self) def get_dimension(self): return _nlopt.opt_get_dimension(self) def set_min_objective(self, *args): return _nlopt.opt_set_min_objective(self, *args) def set_max_objective(self, *args): return _nlopt.opt_set_max_objective(self, *args) def remove_inequality_constraints(self): return _nlopt.opt_remove_inequality_constraints(self) def remove_equality_constraints(self): return _nlopt.opt_remove_equality_constraints(self) def add_inequality_constraint(self, *args): return _nlopt.opt_add_inequality_constraint(self, *args) def add_equality_constraint(self, *args): return _nlopt.opt_add_equality_constraint(self, *args) def add_inequality_mconstraint(self, *args): return _nlopt.opt_add_inequality_mconstraint(self, *args) def add_equality_mconstraint(self, *args): return _nlopt.opt_add_equality_mconstraint(self, *args) def get_lower_bounds(self, *args): return _nlopt.opt_get_lower_bounds(self, *args) def set_lower_bounds(self, *args): return _nlopt.opt_set_lower_bounds(self, *args) def get_upper_bounds(self, *args): return _nlopt.opt_get_upper_bounds(self, *args) def set_upper_bounds(self, *args): return _nlopt.opt_set_upper_bounds(self, *args) def get_stopval(self): return _nlopt.opt_get_stopval(self) def set_stopval(self, *args): return _nlopt.opt_set_stopval(self, *args) def get_ftol_rel(self): return _nlopt.opt_get_ftol_rel(self) def set_ftol_rel(self, *args): return _nlopt.opt_set_ftol_rel(self, *args) def get_ftol_abs(self): return _nlopt.opt_get_ftol_abs(self) def set_ftol_abs(self, *args): return _nlopt.opt_set_ftol_abs(self, *args) def get_xtol_rel(self): return _nlopt.opt_get_xtol_rel(self) def set_xtol_rel(self, *args): return _nlopt.opt_set_xtol_rel(self, *args) def get_xtol_abs(self, *args): return _nlopt.opt_get_xtol_abs(self, *args) def set_xtol_abs(self, *args): return _nlopt.opt_set_xtol_abs(self, *args) def get_maxeval(self): return _nlopt.opt_get_maxeval(self) def set_maxeval(self, *args): return _nlopt.opt_set_maxeval(self, *args) def get_maxtime(self): return _nlopt.opt_get_maxtime(self) def set_maxtime(self, *args): return _nlopt.opt_set_maxtime(self, *args) def get_force_stop(self): return _nlopt.opt_get_force_stop(self) def set_force_stop(self, *args): return _nlopt.opt_set_force_stop(self, *args) def force_stop(self): return _nlopt.opt_force_stop(self) def set_local_optimizer(self, *args): return _nlopt.opt_set_local_optimizer(self, *args) def get_population(self): return _nlopt.opt_get_population(self) def set_population(self, *args): return _nlopt.opt_set_population(self, *args) def get_vector_storage(self): return _nlopt.opt_get_vector_storage(self) def set_vector_storage(self, *args): return _nlopt.opt_set_vector_storage(self, *args) def set_initial_step(self, *args): return _nlopt.opt_set_initial_step(self, *args) def set_default_initial_step(self, *args): return _nlopt.opt_set_default_initial_step(self, *args) def get_initial_step(self, *args): return _nlopt.opt_get_initial_step(self, *args) def get_initial_step_(self, *args): return _nlopt.opt_get_initial_step_(self, *args) opt_swigregister = _nlopt.opt_swigregister opt_swigregister(opt) def srand(*args): return _nlopt.srand(*args) srand = _nlopt.srand def srand_time(): return _nlopt.srand_time() srand_time = _nlopt.srand_time def version(*args): return _nlopt.version(*args) version = _nlopt.version def version_major(): return _nlopt.version_major() version_major = _nlopt.version_major def version_minor(): return _nlopt.version_minor() version_minor = _nlopt.version_minor def version_bugfix(): return _nlopt.version_bugfix() version_bugfix = _nlopt.version_bugfix def algorithm_name(*args): return _nlopt.algorithm_name(*args) algorithm_name = _nlopt.algorithm_name # This file is compatible with both classic and new-style classes.