# This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.12
#
# 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
__version__ = str(_nlopt.version_major())+'.'+str(_nlopt.version_minor())+'.'+str(_nlopt.version_bugfix())


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
GN_ESCH = _nlopt.GN_ESCH
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.


