互动游戏
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@ -590,6 +590,20 @@ def get_crazy_functions():
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print(trimmed_format_exc())
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print('Load function plugin failed')
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# try:
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# from crazy_functions.互动小游戏 import 随机小游戏
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# function_plugins.update({
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# "随机小游戏": {
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# "Group": "智能体",
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# "Color": "stop",
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# "AsButton": True,
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# "Function": HotReload(随机小游戏)
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# }
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# })
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# except:
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# print(trimmed_format_exc())
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# print('Load function plugin failed')
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# try:
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# from crazy_functions.chatglm微调工具 import 微调数据集生成
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# function_plugins.update({
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35
crazy_functions/game_fns/game_utils.py
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35
crazy_functions/game_fns/game_utils.py
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@ -0,0 +1,35 @@
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from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
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from request_llms.bridge_all import predict_no_ui_long_connection
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def get_code_block(reply):
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import re
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pattern = r"```([\s\S]*?)```" # regex pattern to match code blocks
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matches = re.findall(pattern, reply) # find all code blocks in text
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if len(matches) == 1:
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return "```" + matches[0] + "```" # code block
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raise RuntimeError("GPT is not generating proper code.")
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def is_same_thing(a, b, llm_kwargs):
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from pydantic import BaseModel, Field
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class IsSameThing(BaseModel):
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is_same_thing: bool = Field(description="determine whether two objects are same thing.", default=False)
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def run_gpt_fn(inputs, sys_prompt, history=[]):
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return predict_no_ui_long_connection(
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inputs=inputs, llm_kwargs=llm_kwargs,
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history=history, sys_prompt=sys_prompt, observe_window=[]
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)
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gpt_json_io = GptJsonIO(IsSameThing)
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inputs_01 = "Identity whether the user input and the target is the same thing: \n target object: {a} \n user input object: {b} \n\n\n".format(a=a, b=b)
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inputs_01 += "\n\n\n Note that the user may describe the target object with a different language, e.g. cat and 猫 are the same thing."
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analyze_res_cot_01 = run_gpt_fn(inputs_01, "", [])
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inputs_02 = inputs_01 + gpt_json_io.format_instructions
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analyze_res = run_gpt_fn(inputs_02, "", [inputs_01, analyze_res_cot_01])
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try:
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res = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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return res.is_same_thing
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except JsonStringError as e:
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return False
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@ -1,6 +1,7 @@
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from pydantic import BaseModel, Field
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from typing import List
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from toolbox import update_ui_lastest_msg, disable_auto_promotion
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from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder
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from request_llms.bridge_all import predict_no_ui_long_connection
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from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
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import time
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@ -36,6 +37,57 @@ class GptAcademicState():
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state.chatbot = chatbot
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return state
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class GatherMaterials():
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def __init__(self, materials) -> None:
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materials = ['image', 'prompt']
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class GptAcademicGameBaseState():
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"""
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1. first init: __init__ ->
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"""
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def init_game(self, chatbot, lock_plugin):
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self.plugin_name = None
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self.callback_fn = None
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self.delete_game = False
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self.step_cnt = 0
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def lock_plugin(self, chatbot):
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if self.callback_fn is None:
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raise ValueError("callback_fn is None")
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chatbot._cookies['lock_plugin'] = self.callback_fn
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self.dump_state(chatbot)
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def get_plugin_name(self):
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if self.plugin_name is None:
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raise ValueError("plugin_name is None")
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return self.plugin_name
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def dump_state(self, chatbot):
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chatbot._cookies[f'plugin_state/{self.get_plugin_name()}'] = pickle.dumps(self)
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def set_state(self, chatbot, key, value):
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setattr(self, key, value)
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chatbot._cookies[f'plugin_state/{self.get_plugin_name()}'] = pickle.dumps(self)
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@staticmethod
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def sync_state(chatbot, llm_kwargs, cls, plugin_name, callback_fn, lock_plugin=True):
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state = chatbot._cookies.get(f'plugin_state/{plugin_name}', None)
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if state is not None:
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state = pickle.loads(state)
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else:
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state = cls()
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state.init_game(chatbot, lock_plugin)
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state.plugin_name = plugin_name
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state.llm_kwargs = llm_kwargs
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state.chatbot = chatbot
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state.callback_fn = callback_fn
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return state
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def continue_game(self, prompt, chatbot, history):
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# 游戏主体
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yield from self.step(prompt, chatbot, history)
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self.step_cnt += 1
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# 保存状态,收尾
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self.dump_state(chatbot)
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# 如果游戏结束,清理
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if self.delete_game:
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chatbot._cookies['lock_plugin'] = None
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chatbot._cookies[f'plugin_state/{self.get_plugin_name()}'] = None
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yield from update_ui(chatbot=chatbot, history=history)
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@ -1,159 +1,59 @@
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from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder
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from crazy_functions.multi_stage.multi_stage_utils import GptAcademicState
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from toolbox import CatchException, update_ui, update_ui_lastest_msg
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from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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from request_llms.bridge_all import predict_no_ui_long_connection
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from crazy_functions.game_fns.game_utils import get_code_block, is_same_thing
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import random
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class 小游戏(GptAcademicState):
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def __init__(self):
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self.need_game_reset = True
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self.llm_kwargs = None
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super().__init__()
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class MiniGame_ASCII_Art(GptAcademicGameBaseState):
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def lock_plugin(self, chatbot):
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chatbot._cookies['lock_plugin'] = 'crazy_functions.互动小游戏->谁是卧底'
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self.dump_state(chatbot)
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def unlock_plugin(self, chatbot):
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self.reset()
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chatbot._cookies['lock_plugin'] = None
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self.dump_state(chatbot)
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def set_state(self, chatbot, key, value):
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return super().set_state(chatbot, key, value)
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def init_game(self, chatbot):
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chatbot.get_cookies()['lock_plugin'] = ''
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def clean_up_game(self, chatbot):
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chatbot.get_cookies()['lock_plugin'] = None
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def init_player(self):
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pass
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def step(self, prompt, chatbot):
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pass
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def continue_game(self, prompt, chatbot):
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if self.need_game_reset:
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self.need_game_reset = False
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yield from self.init_game(chatbot)
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yield from self.step(prompt, chatbot)
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self.dump_state(chatbot)
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yield update_ui(chatbot=chatbot, history=[])
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class 小游戏_谁是卧底_玩家():
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def __init__(self, game_handle, card, llm_model, name) -> None:
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self.game_handle = game_handle
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self.card = card
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self.name = name
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self.is_out = False
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self.llm_model = llm_model
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self.is_human = llm_model == 'human'
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self.what_player_has_spoken = []
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def speek(self, content=None):
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if content is None:
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assert not self.is_human
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speak_what = yield from
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def step(self, prompt, chatbot, history):
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if self.step_cnt == 0:
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chatbot.append(["我画你猜(动物)", "请稍等..."])
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else:
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self.what_player_has_spoken.append(content)
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if prompt.strip() == 'exit':
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self.delete_game = True
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yield from update_ui_lastest_msg(lastmsg=f"谜底是{self.obj},游戏结束。", chatbot=chatbot, history=history, delay=0.)
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return
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chatbot.append([prompt, ""])
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yield from update_ui(chatbot=chatbot, history=history)
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def agi_speek(self):
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inputs = f'please say something about {self.card}'
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res = yield from request_gpt_model_in_new_thread_with_ui_alive(
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inputs = inputs,
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inputs_show_user=inputs,
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llm_kwargs=self.game_handle.llm_kwargs,
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chatbot=chatbot,
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history=history,
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sys_prompt=sys_prompt
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)
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pass
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if self.step_cnt == 0:
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self.lock_plugin(chatbot)
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self.cur_task = 'draw'
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def vote(self, content=None):
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if content is None:
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assert not self.is_human
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self.vote_who = yield from
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else:
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try:
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self.vote_who = int(content)
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except:
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self.vote_who = None
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if self.cur_task == 'draw':
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avail_obj = ["狗","猫","鸟","鱼","老鼠","蛇"]
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self.obj = random.choice(avail_obj)
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inputs = "I want to play a game called Guess the ASCII art. You can draw the ASCII art and I will try to guess it. " + f"This time you draw a {self.obj}. Note that you must not indicate what you have draw in the text, and you should only produce the ASCII art wrapped by ```. "
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raw_res = predict_no_ui_long_connection(inputs=inputs, llm_kwargs=self.llm_kwargs, history=[], sys_prompt="")
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self.cur_task = 'identify user guess'
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res = get_code_block(raw_res)
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history += ['', f'the answer is {self.obj}', inputs, res]
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yield from update_ui_lastest_msg(lastmsg=res, chatbot=chatbot, history=history, delay=0.)
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def agi_vote(self):
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pass
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class 小游戏_谁是卧底(小游戏):
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def __init__(self):
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self.game_phase = '发言' # 投票
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super().__init__()
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def init_game(self, chatbot):
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self.n_players = 3
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self.n_ai_players = self.n_players - 1
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card = "橙子"
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undercover_card = "橘子"
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llm_model = self.llm_kwargs['llm_model']
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self.players = [
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小游戏_谁是卧底(self, card, llm_model, str(i)) for i in range(self.n_players)
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]
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undercover = random.randint(0, self.n_players-1)
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human = 0
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self.players[undercover].card = undercover_card
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self.players[human].llm_model = 'human'
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super().init_game(chatbot)
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def who_is_out(self):
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votes = {}
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for player in self.players:
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if player.is_out: continue
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if player.vote is None: continue
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if player.vote not in votes: votes[player.vote] = 0
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votes[player.vote] += 1
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max_votes = max(votes.values())
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players_with_max_votes = [player for player, vote_count in votes.items() if vote_count == max_votes]
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for player in players_with_max_votes:
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print('淘汰了', player.name)
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player.is_out = True
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return players_with_max_votes
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def step(self, prompt, chatbot):
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if self.game_phase == '发言':
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for player in self.players:
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if player.is_out: continue
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if player.is_human:
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player.speek(prompt)
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else:
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player.speek()
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self.game_phase = '投票'
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elif self.game_phase == '投票':
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for player in self.players:
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if player.is_out: continue
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if player.is_human:
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player.vote(prompt)
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else:
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player.vote()
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self.who_is_out()
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if len([player for player in self.players if not player.is_out]) <= 2:
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if sum([player for player in self.players if player.is_undercover]) == 1:
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print('卧底获胜')
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else:
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print('平民获胜')
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self.need_game_reset = True
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self.game_phase = '发言'
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else:
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raise RuntimeError
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elif self.cur_task == 'identify user guess':
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if is_same_thing(self.obj, prompt, self.llm_kwargs):
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self.delete_game = True
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yield from update_ui_lastest_msg(lastmsg="你猜对了!", chatbot=chatbot, history=history, delay=0.)
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else:
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self.cur_task = 'identify user guess'
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yield from update_ui_lastest_msg(lastmsg="猜错了,再试试,输入“exit”获取答案。", chatbot=chatbot, history=history, delay=0.)
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@CatchException
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def 谁是卧底(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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# 尚未完成
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history = [] # 清空历史
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state = 小游戏_谁是卧底.get_state(chatbot, 小游戏_谁是卧底)
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state.llm_kwargs = llm_kwargs
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yield from state.continue_game(prompt, chatbot)
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def 随机小游戏(prompt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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# 清空历史
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history = []
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# 选择游戏
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cls = MiniGame_ASCII_Art
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# 如果之前已经初始化了游戏实例,则继续该实例;否则重新初始化
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state = cls.sync_state(chatbot,
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llm_kwargs,
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cls,
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plugin_name='MiniGame_ASCII_Art',
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callback_fn='crazy_functions.互动小游戏->随机小游戏',
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lock_plugin=True
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)
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yield from state.continue_game(prompt, chatbot, history)
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