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this.polyLine = new H.map.Polyline(
  this.lineString, {style: {lineWidth: 4, strokeColor: "#62A8EA", lineDash: [4]}}
)

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from dateutil.relativedelta import relativedelta

# def date_iter_periodicity(start_date, end_date, hold_days):
#     date = start_date
#     while date < end_date:
#         yield (date), (date + datetime.timedelta(hold_days))
#         date += datetime.timedelta(hold_days)
def date_iter_periodicity(start_date, end_date, interval):
      date = start_date
      while date < end_date:

zaoldyeck

def 獲利年數(data):
    eps = data.get('稀釋每股盈餘合計', 4*10).fillna(0)
    count = 0
    for start, end in zip(range(0, 37, 4), range(4, 41, 4)):
        if not (eps.iloc[start:end].empty):
            count += eps.iloc[start:end].sum() > 0
    return count

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const config = require('../../config')
const axios = require('axios')
const md5 = require('md5')
const KKBOX = require('../api/KKBOX')

class Olami {
    constructor(appKey = config.olami.appKey, appSecret = config.olami.appSectet, inputType = 1) {
        this.URL = 'https://tw.olami.ai/cloudservice/api'
        this.appKey = appKey
        this.appSecret = appSecret

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const {LineHandler} = require('bottender')
const olami = require('./nlp/Olami')

exports.lineHandler = new LineHandler()
    .onText(async context => {
            const text = context.event.text
            const userId = context._session.user.id
            const reply = await olami.nli(text, userId)
            await context.reply([reply.toLineMessage()])
        }

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const {LineHandler} = require('bottender')
const olami = require('./nlp/Olami')

exports.lineHandler = new LineHandler()
    .onText(async context => {
            const text = context.event.text
            const userId = context._session.user.id
            const reply = await olami.nli(text, userId)
            await context.replyText(reply)
        }

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import configparser
import logging

import telegram
from flask import Flask, request
from telegram import ReplyKeyboardMarkup
from telegram.ext import Dispatcher, CommandHandler, MessageHandler, Filters

from nlp.olami import Olami

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+from api.kkbox import KKBOX

class Olami:
    def intent_detection(self, nli_obj):
+       def handle_music_kkbox_type(semantic):
+           music_type = semantic['modifier'][0].split('_')[2]
+           slots = semantic['slots']
+           kkbox = KKBOX()
+
+           def get_slot_value_by_key(key):

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import configparser
import json
import logging
import time
from hashlib import md5
from api.kkbox import KKBOX

import requests

config = configparser.ConfigParser()

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import configparser
import logging

import requests

config = configparser.ConfigParser()
config.read('config.ini')

logger = logging.getLogger(__name__)