# Path: neuronlp2/io/instance.py
# class DependencyInstance(object):
#     def __init__(self, sentence, postags, pos_ids, heads, types, type_ids):
#         self.sentence = sentence
#         self.postags = postags
#         self.pos_ids = pos_ids
#         self.heads = heads
#         self.types = types
#         self.type_ids = type_ids
# 
#     def length(self):
#         return self.sentence.length()
# 
# class NERInstance(object):
#     def __init__(self, sentence, postags, pos_ids, chunk_tags, chunk_ids, ner_tags, ner_ids):
#         self.sentence = sentence
#         self.postags = postags
#         self.pos_ids = pos_ids
#         self.chunk_tags = chunk_tags
#         self.chunk_ids = chunk_ids
#         self.ner_tags = ner_tags
#         self.ner_ids = ner_ids
# 
#     def length(self):
#         return self.sentence.length()
# 
# Path: neuronlp2/io/instance.py
# class Sentence(object):
#     def __init__(self, words, word_ids, char_seqs, char_id_seqs):
#         self.words = words
#         self.word_ids = word_ids
#         self.char_seqs = char_seqs
#         self.char_id_seqs = char_id_seqs
# 
#     def length(self):
#         return len(self.words)
# 
# Path: neuronlp2/io/common.py
# ROOT = "_ROOT"
# 
# ROOT_POS = "_ROOT_POS"
# 
# ROOT_CHAR = "_ROOT_CHAR"
# 
# ROOT_TYPE = "_<ROOT>"
# 
# END = "_END"
# 
# END_POS = "_END_POS"
# 
# END_CHAR = "_END_CHAR"
# 
# END_TYPE = "_<END>"
# 
# Path: neuronlp2/io/common.py
# DIGIT_RE = re.compile(r"\d")
# 
# MAX_CHAR_LENGTH = 45


from neuronlp2.io.instance import DependencyInstance, NERInstance
from neuronlp2.io.instance import Sentence
from neuronlp2.io.common import ROOT, ROOT_POS, ROOT_CHAR, ROOT_TYPE, END, END_POS, END_CHAR, END_TYPE
from neuronlp2.io.common import DIGIT_RE, MAX_CHAR_LENGTH
        while len(line) > 0 and len(line.strip()) == 0:
            line = self.__source_file.readline()
        if len(line) == 0:
            return None

        lines = []
        while len(line.strip()) > 0:
            line = line.strip()
            lines.append(line.split(' '))
            line = self.__source_file.readline()

        length = len(lines)
        if length == 0:
            return None

        words = []
        word_ids = []
        char_seqs = []
        char_id_seqs = []
        postags = []
        pos_ids = []
        chunk_tags = []
        chunk_ids = []
        ner_tags = []
        ner_ids = []

        for tokens in lines:
            chars = []
            char_ids = []
            for char in tokens[1]:

# Path: neuronlp2/io/instance.py
# class DependencyInstance(object):
#     def __init__(self, sentence, postags, pos_ids, heads, types, type_ids):
#         self.sentence = sentence
#         self.postags = postags
#         self.pos_ids = pos_ids
#         self.heads = heads
#         self.types = types
#         self.type_ids = type_ids
# 
#     def length(self):
#         return self.sentence.length()
# 
# class NERInstance(object):
#     def __init__(self, sentence, postags, pos_ids, chunk_tags, chunk_ids, ner_tags, ner_ids):
#         self.sentence = sentence
#         self.postags = postags
#         self.pos_ids = pos_ids
#         self.chunk_tags = chunk_tags
#         self.chunk_ids = chunk_ids
#         self.ner_tags = ner_tags
#         self.ner_ids = ner_ids
# 
#     def length(self):
#         return self.sentence.length()
# 
# Path: neuronlp2/io/instance.py
# class Sentence(object):
#     def __init__(self, words, word_ids, char_seqs, char_id_seqs):
#         self.words = words
#         self.word_ids = word_ids
#         self.char_seqs = char_seqs
#         self.char_id_seqs = char_id_seqs
# 
#     def length(self):
#         return len(self.words)
# 
# Path: neuronlp2/io/common.py
# ROOT = "_ROOT"
# 
# ROOT_POS = "_ROOT_POS"
# 
# ROOT_CHAR = "_ROOT_CHAR"
# 
# ROOT_TYPE = "_<ROOT>"
# 
# END = "_END"
# 
# END_POS = "_END_POS"
# 
# END_CHAR = "_END_CHAR"
# 
# END_TYPE = "_<END>"
# 
# Path: neuronlp2/io/common.py
# DIGIT_RE = re.compile(r"\d")
# 
# MAX_CHAR_LENGTH = 45


# Path: neuronlp2/io/reader.py
from neuronlp2.io.instance import DependencyInstance, NERInstance
from neuronlp2.io.instance import Sentence
from neuronlp2.io.common import ROOT, ROOT_POS, ROOT_CHAR, ROOT_TYPE, END, END_POS, END_CHAR, END_TYPE
from neuronlp2.io.common import DIGIT_RE, MAX_CHAR_LENGTH

        while len(line) > 0 and len(line.strip()) == 0:
            line = self.__source_file.readline()
        if len(line) == 0:
            return None

        lines = []
        while len(line.strip()) > 0:
            line = line.strip()
            lines.append(line.split(' '))
            line = self.__source_file.readline()

        length = len(lines)
        if length == 0:
            return None

        words = []
        word_ids = []
        char_seqs = []
        char_id_seqs = []
        postags = []
        pos_ids = []
        chunk_tags = []
        chunk_ids = []
        ner_tags = []
        ner_ids = []

        for tokens in lines:
            chars = []
            char_ids = []
            for char in tokens[1]:

                chars.append(char)