# Path: cam/sgnmt/utils.py
# GO_ID = 1
# EOS_ID = 2
# UNK_ID = 0
# NOTAPPLICABLE_ID = 3
# NEG_INF = float("-inf")
# INF = float("inf")
# EPS_P = 0.00001
#     GO_ID = 0
#     EOS_ID = 2
#     UNK_ID = 3
#     GO_ID = 2 # Usually not used
#     EOS_ID = 1
#     UNK_ID = 3 # Don't rely on this: UNK not standardized in T2T
# TMP_FILENAME = '/tmp/sgnmt.%s.fst' % os.getpid()
# MESSAGE_TYPE_DEFAULT = 1
# MESSAGE_TYPE_POSTERIOR = 2
# MESSAGE_TYPE_FULL_HYPO = 3
# def switch_to_fairseq_indexing():
# def switch_to_t2t_indexing():
# def log_sum_tropical_semiring(vals):
# def log_sum_log_semiring(vals):
# def oov_to_unk(seq, vocab_size, unk_idx=None):
# def argmax_n(arr, n):
# def argmax(arr):
# def common_viewkeys(obj):
# def common_iterable(obj):
# def common_get(obj, key, default):
# def common_contains(obj, key):
# def w2f(fstweight):
# def load_fst(path):
# def get_path(tmpl, sub = 1):
# def split_comma(s, func=None):
#     def notify(self, message, message_type = MESSAGE_TYPE_DEFAULT):
#     def __init__(self):
#     def add_observer(self, observer):
#     def notify_observers(self, message, message_type = MESSAGE_TYPE_DEFAULT):
# class Observer(object):
# class Observable(object):
# 
# Path: cam/sgnmt/io.py
# def encode(src_sentence):
# def decode(trg_sentence):
# def initialize(args):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def __init__(self, codes_path, separator='@@', remove_eow=False):
#     def process_line(self, line):
#     def segment(self, sentence):
#     def segment_tokens(self, tokens):
#     def get_pairs(self, word):
#     def encode(self, orig):
#     def __init__(self, codes_path, separator='', remove_eow=False):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def decode(self, trg_sentence):
# def load_src_wmap(path):
# def load_trg_wmap(path):
# class Encoder(object):
# class Decoder(object):
# class IDEncoder(Encoder):
# class IDDecoder(Decoder):
# class WordEncoder(Encoder):
# class WordDecoder(Decoder):
# class CharEncoder(Encoder):
# class CharDecoder(Decoder):
# class BPE(object):
# class BPEEncoder(Encoder):
# class BPEDecoder(Decoder):
# class BPEAtAtDecoder(Decoder):


from abc import abstractmethod
from cam.sgnmt import utils
from cam.sgnmt import io
from collections import defaultdict
import os
import errno
import logging
import numpy as np
import codecs
    import pywrapfst as fst
        import openfst_python as fst
    """
    
    def __init__(self, path, min_order, max_order):
        """Creates an ngram output handler.
        
        Args:
            path (string):  Path to the ngram directory to create
            min_order (int):  Minimum order of extracted ngrams
            max_order (int):  Maximum order of extracted ngrams
        """
        super(NgramOutputHandler, self).__init__()
        self.path = path
        self.min_order = min_order
        self.max_order = max_order
        self.file_pattern = path + "/%d.txt" 
      
    def write_hypos(self, all_hypos, sen_indices):
        """Writes ngram files for each sentence in ``all_hypos``.
        
        Args:
            all_hypos (list): list of nbest lists of hypotheses
            sen_indices (list): List of sentence indices (0-indexed)
        
        Raises:
            OSError. If the directory could not be created
            IOError. If something goes wrong while writing to the disk
        """
        _mkdir(self.path, "ngram")
        for sen_idx, hypos in zip(sen_indices, all_hypos):
            sen_idx += 1

# Path: cam/sgnmt/utils.py
# GO_ID = 1
# EOS_ID = 2
# UNK_ID = 0
# NOTAPPLICABLE_ID = 3
# NEG_INF = float("-inf")
# INF = float("inf")
# EPS_P = 0.00001
#     GO_ID = 0
#     EOS_ID = 2
#     UNK_ID = 3
#     GO_ID = 2 # Usually not used
#     EOS_ID = 1
#     UNK_ID = 3 # Don't rely on this: UNK not standardized in T2T
# TMP_FILENAME = '/tmp/sgnmt.%s.fst' % os.getpid()
# MESSAGE_TYPE_DEFAULT = 1
# MESSAGE_TYPE_POSTERIOR = 2
# MESSAGE_TYPE_FULL_HYPO = 3
# def switch_to_fairseq_indexing():
# def switch_to_t2t_indexing():
# def log_sum_tropical_semiring(vals):
# def log_sum_log_semiring(vals):
# def oov_to_unk(seq, vocab_size, unk_idx=None):
# def argmax_n(arr, n):
# def argmax(arr):
# def common_viewkeys(obj):
# def common_iterable(obj):
# def common_get(obj, key, default):
# def common_contains(obj, key):
# def w2f(fstweight):
# def load_fst(path):
# def get_path(tmpl, sub = 1):
# def split_comma(s, func=None):
#     def notify(self, message, message_type = MESSAGE_TYPE_DEFAULT):
#     def __init__(self):
#     def add_observer(self, observer):
#     def notify_observers(self, message, message_type = MESSAGE_TYPE_DEFAULT):
# class Observer(object):
# class Observable(object):
# 
# Path: cam/sgnmt/io.py
# def encode(src_sentence):
# def decode(trg_sentence):
# def initialize(args):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def __init__(self, codes_path, separator='@@', remove_eow=False):
#     def process_line(self, line):
#     def segment(self, sentence):
#     def segment_tokens(self, tokens):
#     def get_pairs(self, word):
#     def encode(self, orig):
#     def __init__(self, codes_path, separator='', remove_eow=False):
#     def encode(self, src_sentence):
#     def decode(self, trg_sentence):
#     def decode(self, trg_sentence):
# def load_src_wmap(path):
# def load_trg_wmap(path):
# class Encoder(object):
# class Decoder(object):
# class IDEncoder(Encoder):
# class IDDecoder(Decoder):
# class WordEncoder(Encoder):
# class WordDecoder(Decoder):
# class CharEncoder(Encoder):
# class CharDecoder(Decoder):
# class BPE(object):
# class BPEEncoder(Encoder):
# class BPEDecoder(Decoder):
# class BPEAtAtDecoder(Decoder):


# Path: cam/sgnmt/output.py
from abc import abstractmethod
from cam.sgnmt import utils
from cam.sgnmt import io
from collections import defaultdict
import os
import errno
import logging
import numpy as np
import codecs
    import pywrapfst as fst
        import openfst_python as fst

    """
    
    def __init__(self, path, min_order, max_order):
        """Creates an ngram output handler.
        
        Args:
            path (string):  Path to the ngram directory to create
            min_order (int):  Minimum order of extracted ngrams
            max_order (int):  Maximum order of extracted ngrams
        """
        super(NgramOutputHandler, self).__init__()
        self.path = path
        self.min_order = min_order
        self.max_order = max_order
        self.file_pattern = path + "/%d.txt" 
      
    def write_hypos(self, all_hypos, sen_indices):
        """Writes ngram files for each sentence in ``all_hypos``.
        
        Args:
            all_hypos (list): list of nbest lists of hypotheses
            sen_indices (list): List of sentence indices (0-indexed)
        
        Raises:
            OSError. If the directory could not be created
            IOError. If something goes wrong while writing to the disk
        """
        _mkdir(self.path, "ngram")
        for sen_idx, hypos in zip(sen_indices, all_hypos):
            sen_idx += 1

            total = utils.log_sum([hypo.total_score for hypo in hypos])