robotcator

# coding=utf-8
from gensim.models import Doc2Vec
from sklearn.linear_model import LogisticRegression
from collections import namedtuple

import numpy as np
import gensim

def read_sentimentDocs():
    SentimentDocument = namedtuple('SentimentDocument', 'words tags split sentiment')

robotcator

# coding=utf-8
from gensim.models import Doc2Vec
from sklearn.linear_model import LogisticRegression
from collections import namedtuple

import numpy as np
import gensim

def read_sentimentDocs():
    SentimentDocument = namedtuple('SentimentDocument', 'words tags split sentiment')

robotcator

class LRUCache{
private:
    int _capacity;
    int _len;
    list<pair<int,int> > l;
    map<int, list<pair<int, int> >::iterator> mp;

public:
    LRUCache(int capacity) {
        _capacity = capacity;

robotcator

struct node{
    int key;
    int value;
    node* prev;
    node* next;
    node(int _key, int _value) {
        key = _key;
        value = _value;
        prev = NULL;
        next = NULL;

robotcator

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import six
import os

if six.PY3:
    from urllib.request import urlopen
else:
    from urllib2 import urlopen