Toggle Navigation
Hatchery
Eggs
Dex
service.py
Users
Badges
Login
Register
MCH2022 badge?
go to mch2022.badge.team
service.py
raw
Content
import badge def setup(): pass def loop(): return 0 def draw(y): return [9999999999, 0] def draw_going_to_sleep(y): try: enabled = badge.nvs_get_u8("dex","enable", 0) except: enabled = 1 if enabled: f = open("/cspilogo.png", "wb") import binascii image = "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" print(f.write(binascii.a2b_base64(image))) f.flush() f.close() import ugfx, badge, appglue badge.eink_init() ugfx.init() ugfx.clear(ugfx.BLACK) ugfx.flush() ugfx.clear(ugfx.WHITE) ugfx.flush() ugfx.set_lut(ugfx.GREYSCALE) ugfx.init() ugfx.input_init() #ugfx.input_attach(ugfx.JOY_UP, lambda pressed: printerr("cspi app")) #ugfx.input_attach(ugfx.JOY_DOWN, lambda pressed: paintff()) #ugfx.input_attach(ugfx.JOY_LEFT, lambda pressed: paintff()) #ugfx.input_attach(ugfx.JOY_RIGHT, lambda pressed: paintff()) ugfx.input_attach(ugfx.BTN_A, lambda pressed: badge.leds_send_data(bytes([100, 0, 0, 20, 100, 0, 0, 20, 100, 0, 0, 20, 100, 0, 0, 20, 100, 0, 0, 20, 100, 0, 0, 20]), 24)) ugfx.input_attach(ugfx.BTN_B, lambda pressed: badge.leds_send_data(bytes([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), 24)) #ugfx.input_attach(ugfx.BTN_SELECT, lambda pressed: appglue.start_app("")) ugfx.input_attach(ugfx.BTN_START, lambda pressed: appglue.start_app("")) #ugfx.input_attach(ugfx.BTN_FLASH, lambda pressed: appglue.start_app("")) badge.eink_png(0,0,'/cspilogo.png') ugfx.string(50,100,badge.nvs_get_str("owner", "name", 'Boy Zonderman'),"PermanentMarker22",ugfx.BLACK) ugfx.flush(ugfx.LUT_FULL) ugfx.flush(ugfx.LUT_FULL) badge.eink_busy_wait() return [9999999999, 0]