微信跳一跳辅助python代码实现_Python

微信跳一跳辅助的python具体实现代码，供大家参考，具体内容如下

这是一个 2.5D 插画风格的益智游戏，玩家可以通过按压屏幕时间的长短来控制这个「小人」跳跃的距离。可能刚开始上手的时候，因为时间距离之间的关系把握不恰当，只能跳出几个就掉到了台子下面。
玩法类似于《flappy bird》

下载github的一个程序，但是在windows10下不能运行，原因是windows10下没有copy命令了，修改为Python自带的复制方法，即可完成。今天运行好像一开始不能正确跳第一次，人工辅助后，后续的跳的很好。

部分代码：

wechat_jump_iOS_py3.py

									import wda

									import numpy as np

									import matplotlib.pyplot as plt

									import matplotlib.animation as animation

									from PIL import Image

									import math

									import time

									import os

									# 截图距离 * time_coefficient = 按键时长

									# 此数据是 iPhoneX 的推荐系数，可根据手机型号进行调整

									time_coefficient = 0.00125

									c = wda.Client()

									s = c.session()

									def pull_screenshot():

									 c.screenshot('1.png')

									def jump(distance):

									 press_time = distance * time_coefficient

									 press_time = press_time

									 print(press_time)

									 s.tap_hold(200,200,press_time)

									fig = plt.figure()

									index = 0

									cor = [0, 0]

									pull_screenshot()

									img = np.array(Image.open('1.png'))

									update = True

									click_count = 0

									cor = []

									def update_data():

									 return np.array(Image.open('1.png'))

									im = plt.imshow(img, animated=True)

									def updatefig(*args):

									 global update

									 if update:

									 time.sleep(1)

									 pull_screenshot()

									 im.set_array(update_data())

									 update = False

									 return im,

									def onClick(event):

									 global update

									 global ix, iy

									 global click_count

									 global cor

									 # next screenshot

									 ix, iy = event.xdata, event.ydata

									 coords = []

									 coords.append((ix, iy))

									 print('now = ', coords)

									 cor.append(coords)

									 click_count += 1

									 if click_count > 1:

									 click_count = 0

									 cor1 = cor.pop()

									 cor2 = cor.pop()

									 distance = (cor1[0][0] - cor2[0][0])**2 + (cor1[0][1] - cor2[0][1])**2

									 distance = distance ** 0.5

									 print('distance = ', distance)

									 jump(distance)

									 update = True

									fig.canvas.mpl_connect('button_press_event', onClick)

									ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)

									plt.show()

wechat_jump_py3.py

									import numpy as np

									import matplotlib.pyplot as plt

									import matplotlib.animation as animation

									from PIL import Image

									import math

									import time

									import os

									def pull_screenshot():

									 os.system('adb shell screencap -p /sdcard/1.png')

									 os.system('adb pull /sdcard/1.png .')

									def jump(distance):

									 press_time = distance * 1.35

									 press_time = int(press_time)

									 cmd = 'adb shell input swipe 320 410 320 410 ' + str(press_time)

									 print(cmd)

									 os.system(cmd)

									fig = plt.figure()

									index = 0

									cor = [0, 0]

									pull_screenshot()

									img = np.array(Image.open('1.png'))

									update = True

									click_count = 0

									cor = []

									def update_data():

									 return np.array(Image.open('1.png'))

									im = plt.imshow(img, animated=True)

									def updatefig(*args):

									 global update

									 if update:

									 time.sleep(1.5)

									 pull_screenshot()

									 im.set_array(update_data())

									 update = False

									 return im,

									def onClick(event): 

									 global update 

									 global ix, iy

									 global click_count

									 global cor

									 # next screenshot

									 ix, iy = event.xdata, event.ydata

									 coords = []

									 coords.append((ix, iy))

									 print('now = ', coords)

									 cor.append(coords)

									 click_count += 1

									 if click_count > 1:

									 click_count = 0

									 cor1 = cor.pop()

									 cor2 = cor.pop()

									 distance = (cor1[0][0] - cor2[0][0])**2 + (cor1[0][1] - cor2[0][1])**2

									 distance = distance ** 0.5

									 print('distance = ', distance)

									 jump(distance)

									 update = True

									fig.canvas.mpl_connect('button_press_event', onClick)

									ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)

									plt.show()