244 lines
7.8 KiB
Python
Executable file
244 lines
7.8 KiB
Python
Executable file
#!/usr/bin/env python3
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import json
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import random
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import socket
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import struct
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import time
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import numpy as np
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import bz2
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import os
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import functools
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import contextlib
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import math
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import ctypes
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from PIL import Image
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from pixelterm import pixelterm
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HOST, PORT = "172.23.42.29",2342
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CMD_LED_DRAW = 18
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def resize_image(img, size, blackbg=True):
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tw, th = size
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w, h = img.size
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a, b = w/tw, h/th
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f = 1/max(a, b)
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pos = int((tw-w*f)/2), int((th-h*f)/2)
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buf = Image.new('RGBA', (tw, th))
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buf.paste(img.resize((int(w*f), int(h*f))).convert('RGBA'), pos)
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if blackbg:
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buf2 = Image.new('RGBA', (tw, th), (0, 0, 0, 255))
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return Image.alpha_composite(buf2, buf)
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else:
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return buf
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class Display:
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def __init__(self):
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self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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self.size = 56*8, 8*20
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def sendframe(self, frame):
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pl = struct.pack('!HHHHH', CMD_LED_DRAW, 0, 0, 0x627a, 0) + bz2.compress(frame)
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self.sock.sendto(pl, (HOST, PORT))
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# for i in range(100):
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# time.sleep(0.0001)
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self.sock.sendto(pl, (HOST, PORT))
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@staticmethod
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def do_gamma(im, gamma):
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"""Fast gamma correction with PIL's image.point() method"""
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invert_gamma = 1.0/gamma
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lut = [pow(x/255., invert_gamma) * 255 for x in range(256)]
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lut = lut*4 # need one set of data for each band for RGBA
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im = im.point(lut)
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return im
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@staticmethod
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def encode_image(img, displaysize):
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return np.frombuffer(Display.do_gamma(resize_image(img, displaysize), 0.5).convert('1').tobytes(), dtype='1b')
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class Pixelflut:
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def __init__(self, host, port, x, y, w, h):
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self.host, self.port = host.encode(), port
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self.x, self.y = x, y
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self.w, self.h = w, h
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self.dbuf = np.zeros(w*h*4, dtype=np.uint8)
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self.so = ctypes.CDLL('./pixelflut.so')
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self.sock = None
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def sendframe(self, idx):
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if self.sock is None:
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while self.sock is None or self.sock < 0:
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time.sleep(1)
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self.sock = self.so.cct(self.host, self.port)
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if self.so.sendframe(self.sock, idx, self.w, self.h, self.x, self.y):
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self.so.discct(self.sock)
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self.sock = None
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def encode_image(self, img):
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frame = np.array(resize_image(img, (self.w, self.h), blackbg=False)).reshape(self.w*self.h*4)
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np.copyto(self.dbuf, frame)
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cptr = self.dbuf.ctypes.data_as(ctypes.POINTER(ctypes.c_uint8))
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return self.so.store_image(cptr, self.w, self.h)
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def weightedChoice(choices, default=None):
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acc = 0
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r = random.random()
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for weight, choice in choices:
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if r < (acc + weight):
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return choice
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acc += weight
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return default
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class Agent:
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def __init__(self, path: 'pathlib.Path'):
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self.config = json.loads((path / 'agent.json').read_text())
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for ani in self.config['animations'].values():
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for f in ani['frames']:
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branching, exitBranch = f.get('branching'), f.get('exitBranch')
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if 'exitBranch' in f:
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f['next'] = lambda f, idx: f['exitBranch']
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elif 'branching' in f:
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f['next'] = lambda f, idx: weightedChoice(
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[ (b['weight']/100, b['frameIndex']) for b in f['branching']['branches'] ]
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, default=idx+1)
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else:
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f['next'] = lambda f, idx: idx+1
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self.picmap = Image.open(path / 'map.png')
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self.path = path
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def __call__(self, action, sleep=True):
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for frame in self._animate(action):
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# print('frame:', frame)
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if 'images_encoded' in frame: # some frames contain branch info and sound, but no images
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yield frame['images_encoded']
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if sleep:
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time.sleep(frame['duration']/1000)
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def precalculate_images(self, pf, dsp, termsize):
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print('\033[93mPrecalculating images\033[0m')
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total = sum(1 for ani in self.config['animations'].values() for f in ani['frames'] if 'images' in f)
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i = 0
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for ani in self.config['animations'].values():
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for f in ani['frames']:
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if 'images' in f:
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print(('(\033[38;5;245m{: '+str(1+int(math.log10(total)))+'}/{}\033[0m) ').format(i, total), end='')
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i += 1
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f['images_encoded'] = self._precalculate_one_image(tuple(f['images'][0]), pf, dsp, termsize)
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print()
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print('\033[93mdone.\033[0m')
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self._precalculate_one_image.cache_clear()
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@functools.lru_cache(maxsize=None)
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def _precalculate_one_image(self, coords, pf, dsp, termsize):
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img = self._get_image(*coords)
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return ( pf.encode_image(img) if pf else None,
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dsp.encode_image(img, dsp.size) if dsp else None,
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pixelterm.termify_pixels(resize_image(img, termsize)) if termsize else None )
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def _animate(self, action):
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anim, idx = self.config['animations'][action]['frames'], 0
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while idx < len(anim):
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yield anim[idx]
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idx = anim[idx]['next'](anim[idx], idx)
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def _get_image(self, x, y):
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print('\033[38;5;96mcropbox:\033[0m {:04} {:04} {:04} {:04} \033[38;5;96mmap:\033[0m {:04} {:04}'.format(
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x, y, *self.config['framesize'], *self.picmap.size), end='')
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tw, th = self.config['framesize']
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return self.picmap.crop((x, y, x+tw, y+th))
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@property
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def animations(self):
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return list(self.config['animations'].keys())
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if __name__ == '__main__':
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import argparse, pathlib, sys
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parser = argparse.ArgumentParser()
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parser.add_argument('-l', '--list', action='store_true')
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parser.add_argument('-a', '--agent', default='Clippy')
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parser.add_argument('-e', '--endless', action='store_true')
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parser.add_argument('-d', '--display', action='store_true')
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parser.add_argument('-p', '--pixelflut', type=str, default='94.45.232.225:1234')
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parser.add_argument('-t', '--terminal', action='store_true')
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parser.add_argument('-x', '--termsize', type=str)
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parser.add_argument('-s', '--socket', action='store_true')
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parser.add_argument('-n', '--nosleep', action='store_true')
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parser.add_argument('-b', '--bind', type=str, default='0.0.0.0:2342')
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parser.add_argument('action', default='Greeting', nargs='?')
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args = parser.parse_args()
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agent_path = pathlib.Path('agents') / args.agent
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if not agent_path.is_dir():
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print('Agent not found. Exiting.')
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sys.exit(1)
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if args.list:
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print('\n'.join(Agent(agent_path).animations))
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sys.exit(0)
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dsp = Display() if args.display else None
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if args.pixelflut:
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target, *params = args.pixelflut.split('@')
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host, port = target.split(':')
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port = int(port)
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x, y, *_r = params[0].split(',') if params else (0, 0, None)
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w, h = _r if _r else (320, 240)
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x, y, w, h = map(int, (x, y, w, h))
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pf = Pixelflut(host, port, x, y, w, h) if args.pixelflut else None
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else:
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pf = None
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agent = Agent(agent_path)
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if args.socket:
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tx, ty = (args.termsize or '60x30').split('x')
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tx, ty = int(tx), int(ty)
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elif args.terminal:
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tx, ty = args.termsize.split('x') or os.get_terminal_size()
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tx, ty = int(tx), int(ty)
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termsize = (tx, ty*2) if args.terminal or args.socket else None
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agent.precalculate_images(pf, dsp, termsize)
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if args.socket:
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import socketserver
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class ThreadedTCPServer(socketserver.ThreadingMixIn, socketserver.TCPServer):
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pass
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class ClippyRequestHandler(socketserver.BaseRequestHandler):
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def handle(self):
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with contextlib.suppress(BrokenPipeError):
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while True:
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action = random.choice(agent.animations)
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print('[\033[38;5;245m{}\033[0m] Playing: {}'.format(self.client_address[0], action))
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for _img_pf, _img_dsp, img_term in agent(action):
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self.request.sendall(b'\033[H'+img_term.encode())
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host, port = args.bind.split(':')
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port = int(port)
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server = ThreadedTCPServer((host, port), ClippyRequestHandler)
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server.serve_forever()
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elif args.endless:
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while True:
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if random.random() > 0.2:
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action = random.choice(agent.animations)
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print('Playing:', action)
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for img_pf, img_dsp, img_term in agent(action, not args.nosleep):
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if args.terminal:
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print('\033[H'+img_term)
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if args.display:
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dsp.sendframe(img_dsp)
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if args.pixelflut:
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pf.sendframe(img_pf)
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if not args.nosleep:
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time.sleep(1)
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else:
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for img_pf, img_dsp, img_term in agent(args.action, not args.nosleep):
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if args.terminal:
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print(pixelterm.termify_pixels(
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resize_image(img, termsize)))
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if args.display:
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dsp.sendframe(img_dsp)
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if args.pixelflut:
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pf.sendframe(img_pf)
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