def to_ascii_from_image(image,
name='image',
invert=True,
char_type=CharType.BRAILLE,
image_type=ImageType.DITHER):
"""
convert to text via the following steps:
1. fit image to terminal screen size
2. invert image if needed
3. convert image based on given ImageType
4. convert pixels in image to their given CharType equivalent
5. join the 2d image array into a single string
"""
image = Helper.fit_image_to_terminal(image, char_type == CharType.BRAILLE)
if invert:
image = ImageHelper.invert(image)
image = ImageHelper.convert_image(image, image_type)
text_array = convert_to_text(image, char_type)
ascii_text = setup_text_image(text_array)
if ImageHelper.DEBUG:
store_text(ascii_text, name)
return ascii_text
import pycurl
from io import BytesIO
from pprint import pprint
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
AppId = 'wxb9db0419592dbe7f'
AppSecret = '3a54d5663c95800880c927b124a31ead'
from util import Helper
helper = Helper(AppId, AppSecret)
#存放自定义回复规则
rules = []
#自定义菜单
menuData = """
{
"button":[
{
"name":"i学习",
"sub_button":[
{
"name":"校内常用网站",
"type":"view",
"url":"http://mp.weixin.qq.com/s?__biz=MzA3MDc5NjAyOA==&mid=205420177&idx=1&sn=127a582cd5adef81f22fdb3560e61672&scene=18#wechat_redirect"
import pycurl
from io import BytesIO
from pprint import pprint
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
AppId = 'wxb9db0419592dbe7f'
AppSecret = '3a54d5663c95800880c927b124a31ead'
from util import Helper
helper = Helper(AppId, AppSecret)
Debug = True
def getKeyValueByURL(url, key):
buffers = BytesIO()
request_page = pycurl.Curl()
request_page.setopt(request_page.URL, url)
request_page.setopt(request_page.WRITEDATA, buffers)
try:
request_page.perform()
request_page.close()
jsonData = buffers.getvalue().decode()
return json.loads(jsonData)[key]
except pycurl.error, error:
#Euler's Totient function, tot(n) [sometimes called the phi function], is used to determine the number of positive numbers less than or equal to n which are relatively prime to n. For example, as 1, 2, 4, 5, 7, and 8, are all less than nine and relatively prime to nine, tot(9)=6.
#The number 1 is considered to be relatively prime to every positive number, so tot(1)=1.
#
#Interestingly, tot(87109)=79180, and it can be seen that 87109 is a permutation of 79180.
#
#Find the value of n, 1 n 107, for which tot(n) is a permutation of n and the ratio n/tot(n) produces a minimum.
from util import Helper
from datetime import datetime
import math
helper = Helper()
MAX = 10000000
helper.build_primes(int(math.sqrt(MAX)))
def totient(n):
primes = helper.prime_divisors(n)
del primes[1]
total = n-1
for prime in primes.keys():
count = n/prime-1
total -= count
return total
def is_permutation(a,b):
return sorted(list(str(a))) == sorted(list(str(b)))
best = 1000
now = datetime.now()
for i in range(MAX*831/1000,MAX*832/1000):
tot = totient(i)
if is_permutation(i, tot):
ratio = float(i)/tot
# print i
mean_ndcgs.append(ndcg)
return mean_hrs, mean_ndcgs
if __name__ == '__main__':
args = parse_args()
args.lr = eval(args.lr)
args.path = './data/' + args.dataset + '/'
args.user_dataset = args.path + 'userRating'
args.group_dataset = args.path + 'groupRating'
args.user_in_group_path = "./data/" + args.dataset + "/groupMember.txt"
print('args', args)
# initial helper
helper = Helper()
# get the dict of users in group
g_m_d = helper.gen_group_member_dict(args.user_in_group_path)
# initial dataSet class
dataset = GDataset(args.user_dataset, args.group_dataset,
args.num_negatives, g_m_d)
# get group number
num_group = max(g_m_d.keys()) + 1
num_users, num_items = dataset.num_users, dataset.num_items
# print('num_users',num_users)
# build AGREE model
agree = AGREE(num_users, num_items, num_group, args.embedding_size, g_m_d,
args.drop_ratio).to(device)
#Euler's Totient function, tot(n) [sometimes called the phi function], is used to determine the number of positive numbers less than or equal to n which are relatively prime to n. For example, as 1, 2, 4, 5, 7, and 8, are all less than nine and relatively prime to nine, tot(9)=6.
#The number 1 is considered to be relatively prime to every positive number, so tot(1)=1.
#
#Interestingly, tot(87109)=79180, and it can be seen that 87109 is a permutation of 79180.
#
#Find the value of n, 1 n 107, for which tot(n) is a permutation of n and the ratio n/tot(n) produces a minimum.
from util import Helper
from datetime import datetime
import math
helper = Helper()
MAX = 10000000
helper.build_primes(int(math.sqrt(MAX)))
def totient(n):
primes = helper.prime_divisors(n)
del primes[1]
total = n - 1
for prime in primes.keys():
count = n / prime - 1
total -= count
return total
def is_permutation(a, b):
return sorted(list(str(a))) == sorted(list(str(b)))
best = 1000
now = datetime.now()
for i in range(MAX * 831 / 1000, MAX * 832 / 1000):
import tornado.web
import tornado.wsgi
import xml.etree.ElementTree as ET
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
import time
import random
import string
import hashlib
AppId = 'wxb9db0419592dbe7f'
AppSecret = '3a54d5663c95800880c927b124a31ead'
from util import Helper
helper = Helper(AppId, AppSecret)
import replyer
Debug = False
#存放自定义回复规则
rules = []
#Event回复模板
eventReply = """
<xml>
<ToUserName><![CDATA[%s]]></ToUserName>
<FromUserName><![CDATA[%s]]></FromUserName>
<CreateTime>%d</CreateTime>
<MsgType><![CDATA[text]]></MsgType>
<Content><![CDATA[%s]]></Content>
}
RABBIT_INFO = {
"host":
"nugura.research.nicta.com.au",
"port":
5672,
"credentials":
pika.credentials.PlainCredentials(username="******",
password="")
}
BLOCK_LOAD_REPORT_FREQUENCY = 500
HIGHEST_BLOCK = 1358548
LAST_TIME = time.time()
helper = Helper()
class Block(object):
pending_addresses = []
def __init__(self, block_data=None, db=None):
self.db = db
self.cursor = db.cursor()
if int(block_data["number"]) % BLOCK_LOAD_REPORT_FREQUENCY == 0:
print("Loading %d blocks to DB from #%s (at % 11.2f )" %
(BLOCK_LOAD_REPORT_FREQUENCY, block_data["number"],
time.time()))
try:
self.block_number = block_data["number"]
from pprint import pprint
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
AppId = 'wxb9db0419592dbe7f'
AppSecret = '3a54d5663c95800880c927b124a31ead'
from util import Helper
helper = Helper(AppId, AppSecret)
#存放自定义回复规则
rules = []
#自定义菜单
menuData = """
{
"button":[
{
"name":"i学习",
"sub_button":[
{
"name":"校内常用网站",
"type":"view",
"url":"http://mp.weixin.qq.com/s?__biz=MzA3MDc5NjAyOA==&mid=205420177&idx=1&sn=127a582cd5adef81f22fdb3560e61672&scene=18#wechat_redirect"
