# This file was automatically generated by SWIG (http://www.swig.org).
# Version 1.3.40
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
# This file is compatible with both classic and new-style classes.

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('_EST_Ngrammar', [dirname(__file__)])
        except ImportError:
            import _EST_Ngrammar
            return _EST_Ngrammar
        if fp is not None:
            try:
                _mod = imp.load_module('_EST_Ngrammar', fp, pathname, description)
            finally:
                fp.close()
            return _mod
    _EST_Ngrammar = swig_import_helper()
    del swig_import_helper
else:
    import _EST_Ngrammar
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) or hasattr(self,name):
        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


read_ok = _EST_Ngrammar.read_ok
read_format_error = _EST_Ngrammar.read_format_error
read_not_found_error = _EST_Ngrammar.read_not_found_error
read_error = _EST_Ngrammar.read_error
write_ok = _EST_Ngrammar.write_ok
write_fail = _EST_Ngrammar.write_fail
write_error = _EST_Ngrammar.write_error
write_partial = _EST_Ngrammar.write_partial
connect_ok = _EST_Ngrammar.connect_ok
connect_not_found_error = _EST_Ngrammar.connect_not_found_error
connect_not_allowed_error = _EST_Ngrammar.connect_not_allowed_error
connect_system_error = _EST_Ngrammar.connect_system_error
connect_error = _EST_Ngrammar.connect_error
class EST_Ngrammar(_object):
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, EST_Ngrammar, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, EST_Ngrammar, name)
    __repr__ = _swig_repr
    sparse = _EST_Ngrammar.EST_Ngrammar_sparse
    dense = _EST_Ngrammar.EST_Ngrammar_dense
    backoff = _EST_Ngrammar.EST_Ngrammar_backoff
    frequencies = _EST_Ngrammar.EST_Ngrammar_frequencies
    log_frequencies = _EST_Ngrammar.EST_Ngrammar_log_frequencies
    def __init__(self, *args): 
        this = _EST_Ngrammar.new_EST_Ngrammar(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _EST_Ngrammar.delete_EST_Ngrammar
    __del__ = lambda self : None;
    def clear(self): return _EST_Ngrammar.EST_Ngrammar_clear(self)
    def init(self, *args): return _EST_Ngrammar.EST_Ngrammar_init(self, *args)
    def num_states(self): return _EST_Ngrammar.EST_Ngrammar_num_states(self)
    def samples(self): return _EST_Ngrammar.EST_Ngrammar_samples(self)
    def order(self): return _EST_Ngrammar.EST_Ngrammar_order(self)
    def get_vocab_length(self): return _EST_Ngrammar.EST_Ngrammar_get_vocab_length(self)
    def get_vocab_word(self, *args): return _EST_Ngrammar.EST_Ngrammar_get_vocab_word(self, *args)
    def get_pred_vocab_length(self): return _EST_Ngrammar.EST_Ngrammar_get_pred_vocab_length(self)
    def get_pred_vocab_word(self, *args): return _EST_Ngrammar.EST_Ngrammar_get_pred_vocab_word(self, *args)
    def closed_vocab(self): return _EST_Ngrammar.EST_Ngrammar_closed_vocab(self)
    def entry_type(self): return _EST_Ngrammar.EST_Ngrammar_entry_type(self)
    def representation(self): return _EST_Ngrammar.EST_Ngrammar_representation(self)
    def build(self, *args): return _EST_Ngrammar.EST_Ngrammar_build(self, *args)
    def accumulate(self, *args): return _EST_Ngrammar.EST_Ngrammar_accumulate(self, *args)
    def load(self, *args): return _EST_Ngrammar.EST_Ngrammar_load(self, *args)
    def save(self, *args): return _EST_Ngrammar.EST_Ngrammar_save(self, *args)
    def wordlist_index(self, *args): return _EST_Ngrammar.EST_Ngrammar_wordlist_index(self, *args)
    def predlist_index(self, *args): return _EST_Ngrammar.EST_Ngrammar_predlist_index(self, *args)
    def set_entry_type(self, *args): return _EST_Ngrammar.EST_Ngrammar_set_entry_type(self, *args)
    def set_representation(self, *args): return _EST_Ngrammar.EST_Ngrammar_set_representation(self, *args)
    def probability(self, *args): return _EST_Ngrammar.EST_Ngrammar_probability(self, *args)
    def frequency(self, *args): return _EST_Ngrammar.EST_Ngrammar_frequency(self, *args)
    def predict(self, *args): return _EST_Ngrammar.EST_Ngrammar_predict(self, *args)
    def find_state_id(self, *args): return _EST_Ngrammar.EST_Ngrammar_find_state_id(self, *args)
    def find_next_state_id(self, *args): return _EST_Ngrammar.EST_Ngrammar_find_next_state_id(self, *args)
    def reverse_probability(self, *args): return _EST_Ngrammar.EST_Ngrammar_reverse_probability(self, *args)
    def prob_dist(self, *args): return _EST_Ngrammar.EST_Ngrammar_prob_dist(self, *args)
    def fill_window_start(self, *args): return _EST_Ngrammar.EST_Ngrammar_fill_window_start(self, *args)
    def ngram_exists(self, *args): return _EST_Ngrammar.EST_Ngrammar_ngram_exists(self, *args)
    def get_backoff_weight(self, *args): return _EST_Ngrammar.EST_Ngrammar_get_backoff_weight(self, *args)
    def set_backoff_weight(self, *args): return _EST_Ngrammar.EST_Ngrammar_set_backoff_weight(self, *args)
    def print_freqs(self, *args): return _EST_Ngrammar.EST_Ngrammar_print_freqs(self, *args)
    def compute_backoff_weights(self, mincount = 1, maxcount = 10): return _EST_Ngrammar.EST_Ngrammar_compute_backoff_weights(self, mincount, maxcount)
    def merge(self, *args): return _EST_Ngrammar.EST_Ngrammar_merge(self, *args)
EST_Ngrammar_swigregister = _EST_Ngrammar.EST_Ngrammar_swigregister
EST_Ngrammar_swigregister(EST_Ngrammar)


def fs_build_backoff_ngrams(*args):
  return _EST_Ngrammar.fs_build_backoff_ngrams(*args)
fs_build_backoff_ngrams = _EST_Ngrammar.fs_build_backoff_ngrams

def fs_backoff_smooth(*args):
  return _EST_Ngrammar.fs_backoff_smooth(*args)
fs_backoff_smooth = _EST_Ngrammar.fs_backoff_smooth

def Ngram_freqsmooth(*args):
  return _EST_Ngrammar.Ngram_freqsmooth(*args)
Ngram_freqsmooth = _EST_Ngrammar.Ngram_freqsmooth


def frequency_of_frequencies(*args):
  return _EST_Ngrammar.frequency_of_frequencies(*args)
frequency_of_frequencies = _EST_Ngrammar.frequency_of_frequencies

def map_frequencies(*args):
  return _EST_Ngrammar.map_frequencies(*args)
map_frequencies = _EST_Ngrammar.map_frequencies

def Good_Turing_smooth(*args):
  return _EST_Ngrammar.Good_Turing_smooth(*args)
Good_Turing_smooth = _EST_Ngrammar.Good_Turing_smooth

def Good_Turing_discount(*args):
  return _EST_Ngrammar.Good_Turing_discount(*args)
Good_Turing_discount = _EST_Ngrammar.Good_Turing_discount

def test_stats(*args):
  return _EST_Ngrammar.test_stats(*args)
test_stats = _EST_Ngrammar.test_stats