import numpy as np
import pandas as pd

def dummy(low,high):
    d = {'DRINK': ['black_tea','bool_h'], 'PRICE': [low, high], 'STORE_NAME': ['mr.wish','50blue'], 'STORE_ADDRESS': ['qqq','www'], 'STORE_PHONE': ['0XX','0XX1']}
    df = pd.DataFrame(data=d)
    return df

def dummy_storeq(number):
    d = {'drinkname': ['black_tea','green_tea'], 'drinktype': ['a01','a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df

def dummy_drink_revise(input_dict):
    d = input_dict
    #print(d)
    df = pd.DataFrame(list(d.items()))
    return df
    
def dummy_store_list():
    return [1,2,3,4,5]
    
def dummy_drinktype_list():
    return ["奶茶","鮮奶茶","泰式奶茶","紅茶","綠茶","檸檬茶","高山茶","水果茶"]

def dummy_topping_list():
    return ["檸檬","珍珠","波霸","椰果","咖啡凍","寒天","芋圓","其它"]
c5d5c84918dfa609ab1c88c92442b3d7186dc323
<mask token>


def dummy(low, high):
    d = {'DRINK': ['black_tea', 'bool_h'], 'PRICE': [low, high],
        'STORE_NAME': ['mr.wish', '50blue'], 'STORE_ADDRESS': ['qqq', 'www'
        ], 'STORE_PHONE': ['0XX', '0XX1']}
    df = pd.DataFrame(data=d)
    return df


def dummy_storeq(number):
    d = {'drinkname': ['black_tea', 'green_tea'], 'drinktype': ['a01',
        'a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df


<mask token>


def dummy_store_list():
    return [1, 2, 3, 4, 5]


def dummy_drinktype_list():
    return ['奶茶', '鮮奶茶', '泰式奶茶', '紅茶', '綠茶', '檸檬茶', '高山茶', '水果茶']


<mask token>

<mask token>


def dummy(low, high):
    d = {'DRINK': ['black_tea', 'bool_h'], 'PRICE': [low, high],
        'STORE_NAME': ['mr.wish', '50blue'], 'STORE_ADDRESS': ['qqq', 'www'
        ], 'STORE_PHONE': ['0XX', '0XX1']}
    df = pd.DataFrame(data=d)
    return df


def dummy_storeq(number):
    d = {'drinkname': ['black_tea', 'green_tea'], 'drinktype': ['a01',
        'a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df


<mask token>


def dummy_store_list():
    return [1, 2, 3, 4, 5]


def dummy_drinktype_list():
    return ['奶茶', '鮮奶茶', '泰式奶茶', '紅茶', '綠茶', '檸檬茶', '高山茶', '水果茶']


def dummy_topping_list():
    return ['檸檬', '珍珠', '波霸', '椰果', '咖啡凍', '寒天', '芋圓', '其它']

<mask token>


def dummy(low, high):
    d = {'DRINK': ['black_tea', 'bool_h'], 'PRICE': [low, high],
        'STORE_NAME': ['mr.wish', '50blue'], 'STORE_ADDRESS': ['qqq', 'www'
        ], 'STORE_PHONE': ['0XX', '0XX1']}
    df = pd.DataFrame(data=d)
    return df


def dummy_storeq(number):
    d = {'drinkname': ['black_tea', 'green_tea'], 'drinktype': ['a01',
        'a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df


def dummy_drink_revise(input_dict):
    d = input_dict
    df = pd.DataFrame(list(d.items()))
    return df


def dummy_store_list():
    return [1, 2, 3, 4, 5]


def dummy_drinktype_list():
    return ['奶茶', '鮮奶茶', '泰式奶茶', '紅茶', '綠茶', '檸檬茶', '高山茶', '水果茶']


def dummy_topping_list():
    return ['檸檬', '珍珠', '波霸', '椰果', '咖啡凍', '寒天', '芋圓', '其它']

import numpy as np
import pandas as pd


def dummy(low, high):
    d = {'DRINK': ['black_tea', 'bool_h'], 'PRICE': [low, high],
        'STORE_NAME': ['mr.wish', '50blue'], 'STORE_ADDRESS': ['qqq', 'www'
        ], 'STORE_PHONE': ['0XX', '0XX1']}
    df = pd.DataFrame(data=d)
    return df


def dummy_storeq(number):
    d = {'drinkname': ['black_tea', 'green_tea'], 'drinktype': ['a01',
        'a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df


def dummy_drink_revise(input_dict):
    d = input_dict
    df = pd.DataFrame(list(d.items()))
    return df


def dummy_store_list():
    return [1, 2, 3, 4, 5]


def dummy_drinktype_list():
    return ['奶茶', '鮮奶茶', '泰式奶茶', '紅茶', '綠茶', '檸檬茶', '高山茶', '水果茶']


def dummy_topping_list():
    return ['檸檬', '珍珠', '波霸', '椰果', '咖啡凍', '寒天', '芋圓', '其它']

import numpy as np
import pandas as pd

def dummy(low,high):
    d = {'DRINK': ['black_tea','bool_h'], 'PRICE': [low, high], 'STORE_NAME': ['mr.wish','50blue'], 'STORE_ADDRESS': ['qqq','www'], 'STORE_PHONE': ['0XX','0XX1']}
    df = pd.DataFrame(data=d)
    return df

def dummy_storeq(number):
    d = {'drinkname': ['black_tea','green_tea'], 'drinktype': ['a01','a02'], 'cost': [number, 5]}
    df = pd.DataFrame(data=d)
    return df

def dummy_drink_revise(input_dict):
    d = input_dict
    #print(d)
    df = pd.DataFrame(list(d.items()))
    return df
    
def dummy_store_list():
    return [1,2,3,4,5]
    
def dummy_drinktype_list():
    return ["奶茶","鮮奶茶","泰式奶茶","紅茶","綠茶","檸檬茶","高山茶","水果茶"]

def dummy_topping_list():
    return ["檸檬","珍珠","波霸","椰果","咖啡凍","寒天","芋圓","其它"]