import?torch
from?torch.utils.data.dataset?import?Dataset
import?torch.utils.data.dataloader
#?import?pandas?as?pd
import?csv

PAD_token?=?0
SOS_token?=?1
EOS_token?=?2
UKN_token?=?3

class?Lang:
????def?__init__（self?name）:
????????self.name?=?name
????????self.word2index?=?{}
????????self.word2count?=?{}
????????self.index2word?=?{PAD_token:?“PAD“?SOS_token:?“SOS“?EOS_token:?“EOS“?UKN_token:?‘UKN‘}
????????self.n_words?=?4

????def?add_sentence（self?sentence）:
????????if?self.name?==?‘cn‘:
????????????for?word?in?sentence:
????????????????self.add_word（word）
????????else:
????????????for?word?in?sentence.split（‘?‘）:
????????????????self.add_word（word）

????def?add_word（self?word）:
????????if?word?not?in?self.word2index:
????????????self.word2index[word]?=?self.n_words
????????????self.word2count[word]?=?1
????????????self.index2word[self.n_words]?=?word
????????????self.n_words?+=?1
????????else:
????????????self.word2count[word]?+=?1

????def?trim（self?min_count=2）:
????????keep?=?[]

????????for?k?v?in?self.word2count.items（）:
????????????if?v?>=?min_count:
????????????????keep.append（k）

????????print（‘total‘?len（self.word2index））
????????print（‘keep‘?len（keep））
????????print（‘keep?{:.4%}‘.format（len（keep）?/?len（self.word2index）））

????????self.word2index?=?{}
????????self.word2count?=?{}
????????self.index2word?=?{PAD_token:?“PAD“?SOS_token:?“SOS“?EOS_token:?“EOS“?UKN_token:?‘UKN‘}
????????self.n_words?=?4

????????for?word?in?keep:
????????????self.add_word（word）


#?小寫，修剪和刪除非字符字符
def?normalizeString（s）:
????s?=?s.lower（）.strip（）
????#?s?=?re.sub（r“（[.!?]）“?r“?\1“?s）
????#?s?=?re.sub（r“[^a-zA-Z.!?]+“?r“?“?s）
????#?s?=?re.sub（“\b{2}“?“\b“?s）
????return?s


def?filter_pair（p?min_length?max_length）:
????return?len（p[0].split（‘?‘））?<=?max_length?and?\
???????????len（p[1].split（‘?‘））?<=?max_length?and?\
???????????len（p[0].split（‘?‘））?>=?min_length?and?\
???????????len（p[1].split（‘?‘））?>=?min_length


def?filter_pairs（pairs?min_length?max_length）:
????return?[pair?for?pair?in?pairs?if?filter_pair（pair?min_length?max_length）]


class?LangDataset（Dataset）:

????def?__init__（self?lang1?lang2?root_path?reverse=False?transform=None
?????????????????min_length=1?max_length=None?lower=True?trim_count=None）:
????????self.transform?=?transform
????????print（“Reading?lines...“）
????????with?open（root_path?+?‘%s-%s.csv‘?%?（lang1?lang2）?encoding=‘utf-8-sig‘）?as?f:
????????????reader?=?csv.reader（f?delimiter=‘\t‘）
????????????if?lower:
????????????????data?=?[[normalizeString（s）?for?s?in?l]?for?l?in?reader]
????????????else:
????????????????data?=?[l?for?l?in?reader]
????????????f.close（）
????????print（“Read?%s?sentence?pairs“?%?len（data））
????????if?min_length?>?1?or?max_length?is?not?None:
????????????data?=?filter_pairs（data?min_length?max_length）
????????self.data?=?data
????????self.min_length?=?min_length
????????self.m

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-08-11?18:12??data\
?????文件?????1315138??2019-07-21?00:01??data\en-cn.txt
?????文件????11876774??2019-07-21?00:01??data\en-fra.txt
?????文件????20299270??2019-08-06?17:57??data\en-zh.csv
?????文件??????903387??2019-07-31?16:49??data\en-zh_HIT.txt
?????文件????53605933??2019-06-29?13:14??data\en-zh_News.tmx
?????文件?????4678577??2019-06-29?03:31??data\en-zh_News2.tmx
?????文件?????1479544??2019-08-02?21:58??data\en-zh_simple.csv
?????文件????????4951??2019-08-07?22:44??LangData.py
?????文件????????3637??2019-08-06?16:11??preprocessor.py