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jblitzar
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github-python-corpus

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# Either set to 0.0 or 1.0, decides which options to load
# (it defines if decicions can be made by neighbors in meta evolution)
# String of Folder Path, if not set to None: all options in LOADING_FOLDER will be run after each other
LOADING_FOLDER = rf"C:\Users\stefa\OneDrive\Dokumente\GitHub\GraphOfLife\Promising SimOptions Candidates"
#LOADING_FILE = "Engineered 4 Probabilistic except Blotto, keeps one Token.csv"
#LOADING_FILE = "Engineered 4 Probabilistic except Blotto, move on own.csv"
#LOADING_FILE = "Engineered 4 Probabilistic except Blotto.csv"
LOADING_FILE = "Engineered 4 Probabilistic except Blotto New Reproduction Links method.csv"
#LOADING_FILE = "Engineered 4 Probabilistic except Blotto New Reproduction method, keeps one token.csv"
# How many Frames should be saved until the Simulation stops
FRAME_AMOUNT = int(1000*60*60)
# The path to the output folder, where the images get saved
run_options_dict[RunOptionsEnum.SAVE_FOLDER] = r"D:\NewGraphCompetition Outputs\Single5" #r"D:\GameOfEvolution\outputs"
# Amount of Agents at the beginning of the simulation
run_options_dict[RunOptionsEnum.INIT_AGENT_AMOUNT] = 3
# Amount of tokens range that exist. Determines the max size of Network and max Memory usage
TOKEN_AMOUNT_RANGE = [1500, 1500]
# Should save images
run_options_dict[RunOptionsEnum.PLOTTING] = True
# Should use random colors and sizes in VisOptions
run_options_dict[RunOptionsEnum.RANDOM_VIS_OPTIONS] = False
# Should the output images have analytic diagrams
run_options_dict[RunOptionsEnum.PLOT_WITH_DIAGRAMS] = True
run_options_dict[RunOptionsEnum.KEEP_X_GROUPS] = 1
# Rotation Speed Range of visualization
ANGLE_SHIFT_RANGE = [0.5 * np.pi / 180, 1.0 * np.pi / 180]
# Image amount plotted during each "plot iteration", higher means smoother (but slower)
SMOOTH_PLOTS_RANGE = [1, 1]
# Every X iteration is a "plot iteration"
PLOT_EVERY_X_ITERATIONS_RANGE = [10, 10]
# How many iterations for the spring model when determining the coordinates of the agents during plotting
run_options_dict[RunOptionsEnum.SPRING_MODEL_ITERATIONS] = 20
while True:
run_options_dict[RunOptionsEnum.TOKEN_AMOUNT] = int(np.random.uniform(TOKEN_AMOUNT_RANGE[0], TOKEN_AMOUNT_RANGE[1]))
run_options_dict[RunOptionsEnum.ANGLE_SHIFT] = np.random.uniform(ANGLE_SHIFT_RANGE[0], ANGLE_SHIFT_RANGE[1])
run_options_dict[RunOptionsEnum.SMOOTH_PLOTS] = int(np.random.uniform(SMOOTH_PLOTS_RANGE[0], SMOOTH_PLOTS_RANGE[1]))
run_options_dict[RunOptionsEnum.PLOT_EVERY_X_ITERATIONS] = int(
np.random.uniform(PLOT_EVERY_X_ITERATIONS_RANGE[0], PLOT_EVERY_X_ITERATIONS_RANGE[1]))
run_options_dict[RunOptionsEnum.ITERATION_AMOUNT] = int(
FRAME_AMOUNT * run_options_dict[RunOptionsEnum.PLOT_EVERY_X_ITERATIONS] / run_options_dict[
RunOptionsEnum.SMOOTH_PLOTS])
simulation_options = NewSimOptions()
simulation_options.load(LOADING_FILE, LOADING_FOLDER)
simulation_options.set_random_settings(change_settings_probability=0.0)
simulation = Simulation(sim_options=simulation_options, run_options_dict=run_options_dict)
simulation.run_main_loop(redistribute=True)
# <FILESEP>
from typing import List
import requests
WXAPI_SEARCH = "https://xxy.51xuexiaoyi.com/el/wx/sou/search"
WXAPI_TOKEN = "https://xxy.51xuexiaoyi.com/el/wx/app/code2session"
WXAPI_UA = "Mozilla/5.0 (Linux; Android 12; M2102K1C Build/SKQ1.211006.001; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/86.0.4240.99 XWEB/4317 MMWEBSDK/20220903 Mobile Safari/537.36 MMWEBID/6294 MicroMessenger/8.0.28.2240(0x28001C35) WeChat/arm64 Weixin NetType/5G Language/zh_CN ABI/arm64 MiniProgramEnv/android"
class APIError(Exception):
def __init__(self, code, msg) -> None:
self.code = code
self.msg = msg
super().__init__()
def __str__(self) -> str:
return f"{self.code}:{self.msg}"
class XxyWxAPI:
"""学小易-微信小程序API调用"""
session: requests.Session
items: List[dict]
open_id: str
def __init__(self, open_id: str = "") -> None:
self.session = requests.Session()
self.open_id = open_id
self.session.headers.update(
{
"User-Agent": WXAPI_UA,
"Referer": "https://servicewechat.com/wx7436885f6e1ba040/6/page-frame.html",
}
)