def deliveryCoin(s, aid, coins):
"""
:param s: session
:param aid: av号
:param coins: 可投硬币数
:return:
"""
data = {"aid": aid, "multiply": coins, "select_like": "1", "cross_domain": "true",
"csrf": "97f897c8b4e300f2e8c8473fa6659a17"}
r = s.post("https://api.bilibili.com/x/web-interface/coin/add", data=data).json()
return r["data"]["like"]
pass
if __name__ == '__main__':
s, api = init()
coins = 5
videolist = getVideoList(s)
print("获取到videolist{}".format(videolist))
while coins > 0:
time.sleep(0.5)
aid = choice(videolist)
deliveiedCoin = getDeldCoins(s, aid)
if deliveiedCoin < 2:
# 投币
if deliveiedCoin == 1 or coins == 1:
deliveryCoin(s, aid, 1)
print("投币视频aid{}".format(aid))
coins = coins - 1
elif coins >= 2:
deliveryCoin(s, aid, 2)
Authors: Juliet Moreiro (@julietsvq) and Pablo Doval (@PabloDoval)
'''
import sys
sys.path.append('../')
from utils.init import init
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
import keras as k
from utils.init import init
from keras.utils import np_utils
if __name__ == '__main__':
init()
(X_train, y_train), (X_test, y_test) = mnist.load_data()
# Set up parameters, etc..
# Prepare data
# Model definition
# Compilation step
# Evaluate it against the test dataset
print('Train loss: ', xxxx)
print('Train accuracy: ', xxxx)
import os
from utils import init
if __name__ == '__main__':
s, api = init.init()
url = api["live"]["operate"]["Sliver2Coin"]["url"]
body = {"csrf_token": os.environ["BILI_JCT"]}
r = s.post(url, data=body)
print(r.json())
pass
