Gymnasium pong.
Jan 26, 2021 · A Quick Open AI Gym Tutorial.
Gymnasium pong A Trani, durante i Apr 1, 2024 · 强化学习环境升级 - 从gym到Gymnasium. py # OpenAI Gym Wrappers │ model. py # ExperienceReplay类, Agent类等 │ gym_wrappers. In this project, you’ll implement a Neural Network for Deep Reinforcement Learning and see it learn more and more as it finally becomes good enough to beat the computer in Atari 2600 game Pong! These are no longer supported in v5. make("ALE/Pong-v5") # Make sure to use the correct environment ID Contribute to bmaxdk/OpenAI-Gym-PongDeterministic-v4-PPO development by creating an account on GitHub. We’ll be using pytorch library for the implementation. Pong is a two-dimensional sport game that simulates table tennis which released it in 1972 by Atari. seeding' has no attribute 'hash_seed' when using "ALE/Pong-v5" Code example import gym env = gym. Pong环境选择及处理. For the list of available environments, see the environment page. py] for solving the ALE/Pong-v5 env. mp4 # 录制的游戏测试视频 │ └─exp Contains updated code for ALE/Pong-v5 environment[gymnasium under Farama]. Oct 30, 2022 · Atari Pong 简介 Pong是起源于1972年美国的一款模拟两个人打乒乓球的游戏，近几年常用于测试强化学习算法的性能。这篇文章主要记录如何用DQN实现玩Atari游戏中的Pong，希望对和我一样的小白有所帮助，文章最后附本文代码及参考代码 环境介绍： torch = 1. Description¶. I also could not find any Pong environment on the github repo. Lärportalen Ping Pong. 9. Jan 26, 2021 · A Quick Open AI Gym Tutorial. For an overview of our goals for the ALE read The Arcade Learning Environment: An Evaluation Platform for General Agents and if you use ALE in your research, we ask that you please cite the appropriate paper(s) in reference to the environment. Es hat eine mehr als 100 Jahre alte Tradition und verfügt über ein sprachliches und ei Lessing-Gymnasium - Pong Training a Neural Network to play Pong from pixels - omkarv/pong-from-pixels Printing action_space for Pong-v0 gives Discrete(6) as output, i. 1. I add the 900th episode if you want to test. The first step is to create an Environment that implements this task. 11 然后进入这个环境中： 1conda activate RL 如果使用的 Nov 11, 2019 · 2. 1 gym: 0. main_atari. 3测试conda安装并创建虚拟环境： 我这里使用版本为3. For Pong, the reward metric is a running average of the reward collected at the end of each game rather than the full 21 point match. step ( action ) if Nov 13, 2019 · Gym是用于开发和比较强化学习算法的工具包。它支持教学人员，从步行到玩Pong或Pinball等游戏。 1. Tutorial Part 18: Using Reinforcement Learning to Play Pong. re_env = gym. The left paddle is following the y position of the puck, while the right one is the implementaion of my DQN agent. In this notebook we solve the PongDeterministic-v4 environment using a TD actor-critic algorithm with PPO policy updates. : 0049 (0) 30 803 90 66 | Fax: 0049 (0) 30 80 40 45 85 | leitung@siemens-gymnasium-berlin. Mar 6, 2025 · import gymnasium as gym import ale_py gym. Pong-v0 Maximize your score in the Atari 2600 game Pong. make('Pong-v0') 만 수정해서 돌려보면 잘돌아 간다. 8的虚拟环境 语法： c Jun 7, 2022 · Gym只提供了一些基础的环境，要想玩街机游戏，还需要有Atari的支持。在官方文档上，Atari环境安装只需要一条命令，但是在安装过程中遇到了不少的典型错误（在win10、Mac、Linux上安装全都遇到了😂），最后折腾了两三天才解决，因此在这里也是准备用一篇文章来记录下安装过程，也希望这篇博客能 Aug 4, 2020 · Gym是一个 强化学习 算法开发和对比的工具箱。 该环境支持智能体的各种训练任务，从走路到玩游戏，如Pong、Pinball等。 强化学习（RL，Reinforcement Learing）本身是什么，有什么优势在前面的文章中已有介绍（历史文章清单见文末），这里只划两个重点： Pong agent trained on trained using DQN model on OpenAI Gym Atari Environment. sample () # this is where you would insert your policy observation , reward , terminated , truncated , info = env . Visualization¶. Jan 29, 2023 · Gymnasium（競技場）は強化学習エージェントを訓練するためのさまざまな環境を提供するPythonのオープンソースのライブラリです。 もともとはOpenAIが開発したGymですが、2022年の10月に非営利団体のFarama Foundationが保守開発を受け継ぐことになったとの発表がありました。 Farama FoundationはGymを A Pong player using Deep Reinforcement Learning with Pytorch and OpenAI Gym based on a DQN model Instructions: Simply run pong. Från och med kursstarten den 6 januari 2025 börjar en del elever att använda lärportalen Ping Pong. 8k次，点赞23次，收藏38次。本文讲述了强化学习环境库Gym的发展历程，从OpenAI创建的Gym到Farama基金会接手维护并发展为Gymnasium。Gym提供统一API和标准环境，而Gymnasium作为后续维护版本，强调了标准化和维护的持续性。 or any of the other environment IDs (e. 이것도 마찬가지로 공을 받아내서 핑퐁이되도록 학습시켜야 한다. Enable auto-redirect next time Redirect to the new website Close Atari 2600: Pong with DQN¶ In this notebook we solve the PongDeterministic-v4 environment using deep Q-learning . pdf # 实验报告 │ video. Dec 1, 2024 · Hi guys, I am new to Reinforcement Learning, however, im doing a project about how to implement the game Pong. reset ( seed = 42 ) for _ in range ( 1000 ): action = env . com/channel/UC The algorithm was trained on Pong-v0. We’ll use a convolutional neural net (without pooling) as our function approximator for the Q-function, see AtariQ. . py: This file is used for generic OpenAI Gym environments for instance those that are in the Box2D category, these include classic control problems like the CartPole and Pendulum environments. 8. Oyundan gelen pikseller matris olarak arayüzden alınabiliyor. 00 one-time membership fee and $2. make. It takes ~7 hours to train from zero in Google Colab. It has high performance (~1M raw FPS with Atari games, ~3M raw FPS with Mujoco simulator on DGX-A100) and compatible APIs (supports both gym and dm_env, both sync and async, both single and multi player environment). I have already tried this!pip install "gym[accept-rom-license]" but this still happens NameNotFound: Environment Pong doesn't exist. 2根据版本下载并安装aconda【这里默认使用window平台】： 1. Community Room(s) Gymnasium. py: This file is used for OpenAI Gym environments that are in the Atari category, these are classic video games like Breakout and Pong. Implementing the Duel Double DQN algorithm with Pytorch to solve the OpenAI GYM Atari Pong environment. In this projects we’ll implementing agents that learns to play OpenAi Gym Atari Pong using several Deep Rl algorithms. This implementation learns to play just in 900 episodes. make("ALE/Pong-v5",full_action_space=True)各个action的 These are no longer supported in v5. - kwquan/farama-Pong Nov 3, 2021 · 本文会介绍 OpenAI Gym 中的一款 Atari 游戏，Pong（类似乒乓）。会分别介绍 Observation，Action 和 Reward 的含义。最后给一个随机的 policy，来控制一下 Agent 的移动。同时也会介绍 Pong-ram-v0 与 Pong-v0 的区别。 Dec 18, 2024 · Lärportalen Ping Pong. “ (Werner v. they are instantiated via gym. This library easily lets us test our understanding without having to build the environments ourselves. Deep Q-Learning (DQN) is a fundamental algorithm in the field of reinforcement learning (RL) that has garnered significant attention due to its success in solving complex decision-making tasks. Nov 7, 2022 · Question Hey everyone, awesome work on the new repos and gymnasium/gym (>=0. I. 26. Through reinforcement learning and other advanced AI techniques, machines are learning to master not just Pong but increasingly complex games, pushing the boundaries of what AI A collection of Gymnasium compatible games for reinforcement learning. 14. Open Gym Hours. make(env), env. Q-Learning on Gymnasium MountainCar-v0 (Continuous Observation Space) 4. We recommend increasing the population to get better Jan 9, 2025 · Skapa ett konto på gymnasium. ). - koulanurag/ma-gym. make ("ALE/Pong-v5", render_mode = "human") Run the environment: observation , info = env . 0+cu111 Python = 3. ArgumentParser(description='PyTorch policy gradient example at openai-gym pong') If you want to use Pong or other Atari games, you need to install these additional packages: bash Copy code pip install gymnasium[atari] Then, you can load Pong using Gymnasium's API: python Copy code import gymnasium as gym env = gym. View our RECENTLY UPDATED Open Gym Spring Schedule – Click here. step(a), and env Atari Pong. To install the atari ROM, use pip install gymnasium[accept-rom-license] which will install AutoROM and download the ROMs, install them in the default location. It is possible to specify various flavors of the environment via the keyword arguments difficulty and mode . Volleyball. It includes popular titles like Pong, Breakout, Space Invaders, and Pac-Man. The gym environment also feeds rewards from the Oct 22, 2019 · import numpy as np import gym # gym initialization env = gym. Actions Pong有6个action，这个环境的action是减少过的。如果不想减少，则: gymnasium. e. Feb 20, 2019 · Das Lessing-Gymnasium befindet sich in der Weststadt der Stadt Karlsruhe. Libraries Used. reset(), env. OpenAi Gym; PyTorch; numpy; opencv-python Jan 16, 2022 · 文章浏览阅读5. 04. Jan 6, 2018 · 4 WWEK SHRED - http://www. org. make(‘Pong-v0’)重置仿真环境env. The environment we’re going to use in this In this example, we’ll train a very simple neural network to play Pong using Gymnasium. main. Version History# Gymnasium简介. 前面的博文里已经介绍过 Q-learning 的一些基本情况了，如果你没见过前面的博文或者已经忘记的差不多了，那么可以使用这个 Reinforcement Learning: 初次交手，多多指教 访问。 Beskidenstraße 1, 14129 Berlin | Tel. 该项目基于PaddlePaddle框架完成，详情见： 【强化学习】玩转Atari-Pong游戏 玩转Atari-Pong游戏Atari: 雅达利，最初是一家游戏公司，旗下有超过200款游戏，不过已经破产。在强化学习中，Atari游戏是经典的实验环… A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym) Pong - Gymnasium Documentation Toggle site navigation sidebar 多重离散动作空间示例¶. Pong is a table tennis–themed twitch arcade sports video game. reset() for _ in range A collection of multi agent environments based on OpenAI gym. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments: env = gym. Available for Rentals. youtube. 12，建议使用conda创建一个3. A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym) Gymnasium is a maintained fork of OpenAI’s Gym library. 多重离散动作空间指多维度的离散动作空间，可以理解为是离散动作空间的n维形式。比如我们每次执行的动作有n个维度，每个维度都由一个离散动作空间构成。 Apr 10, 2022 · 同时，其提供了页面渲染，可以可视化地查看效果。安装gympip install gymgym的常用函数解释生成仿真环境gym. This notebook periodically generates GIFs, so that we can inspect how the training is progressing. render() method on environments that supports frame perfect visualization, proper scaling, and audio support. g. Fortunately, OpenAI Gym already provides an implementation of Pong (and many other tasks appropriate for reinforcement learning). distributions import Categorical: parser = argparse. bodybible. Gymnasium supports the . 00 per visit for participants 55 and older. make ("ALE/Pong-v5") Alternatively, users can do the following where the ale_py within the environment id will import the module This example notebook solves Pong with a very simple Policy Network and the Pytorch environment. make ("ALE/Pong-v5") The various ways to configure the environment are described in detail in the article on Atari environments. We will then centralize these gradients and update the neural network. This environment corresponds to the version of the cart-pole problem described by Barto, Sutton, and Anderson in “Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problem”. Un ginnasio sul modello greco in cui allenare insieme il corpo e la mente. Q-Learning on Gymnasium CartPole-v1 (Multiple Continuous Observation Spaces) 5. In order to obtain equivalent behavior, pass keyword arguments to gym. $0, 1, 2, 3, 4, 5$ are actions defined in the environment as per the documentation. Den ersätter nuvarande Skolplattformen. I have currently used OpenAI gym to import Pong-v0 environment, but that doesn't work. OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. life/ YONA - https://www. - techandy42/OpenAI_Gym_Atari_Pong_RL sudo pip install gym[atari] ile ünlü oyun Pong ortamı kurulur. Open Gym activities require a Gymnasium Membership, which is a $5. ALE-py doesn’t include the atari ROMs (pip install gymnasium[atari]) which are necessary to make any of the atari environments. A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym) Pong - Gymnasium Documentation Toggle site navigation sidebar May 29, 2023 · 1. , SpaceInvaders, Breakout, Freeway, etc. 5 Python 3 Run Genetic_main. Som elev har du tillgång till Microsoft 365 och Teams (för digitala lektioner). Pong-PLE-v0; MinAtar: Asterix-MinAtar-v1; Breakout-MinAtar-v1; Feb 6, 2024 · 【默认在链接公网环境】！！！！ 一、 Conda虚拟环境搭建【安装则忽略】 1. make('pong-v0') Atari's documentation has moved to ale. Oct 18, 2022 · I have been trying to make the Pong environment. Pong Duel (two player pong game) Switch; Lumberjacks; TrafficJunction; TL;DR 从零开始实现 Q-learning 算法，在 OpenAI Gym 的环境中演示：如何一步步实现增强学习。. The image preprocessing is copied from Andrej Karpathy's gist which implements a similar network and gradient descent using low-level numpy code. reset() prev_input = None # Declaring the two actions that can happen in Pong for an agent, move This model uses the Gymnasium library to create the Atari game environment and PyTorch for building and training the neural network. The current PR is already in good shape (literally had to touch every single Apr 21, 2020 · The journey of teaching AI to play the game Pong is not just a fascinating technical challenge but also a glimpse into the future of artificial intelligence and gaming. action_space . 26) APIs! We are very excited to be enhancing our RLlib to support these very soon. RELATED WORK AND BACKGROUND A. To enable all 18 possible actions that can be performed on an Atari 2600, specify full_action_space=True during initialization or by passing full_action_space=True to gymnasium. Q-Learning on Gymnasium Acrobot-v1 (High Dimension Q-Table) 6. Oct 13, 2023 · I’d like to show you step by step, how to train a Deep Q-Learning model, which learns to play Atari Pong, one of the most popular RL environments. py # parse args and run └── world. com/channel/UCzH5wVNzOX35DC-rcpftIHQ NEIL & NILE- https://www. py # 训练代码 │ utils. Parking. 在gym的官方网站中能够找到两款关于pong的游戏介绍，一个是Pong-ram-v0（观察到的是Atari机器的RAM，包含128个字节）另一个是Pong-v0（观察结果为RGB图像，大小为（210，160，3))，一般选择以图像作为神经网络的输入，下图为官方介绍： Nov 20, 2024 · import gymnasium as gym import ale_py if __name__ == '__main__': env = gym. Structure src ├── game. You each try to keep deflecting the ball away from your goal and into your opponent’s goal. The Walnut Gymnasium has scheduled hours for teen open gym for basketball. However, the Jan 8, 2019 · Additionally the OpenAI gym environment is used to load up the Atari Pong emulator and take in inputs which allows our Agent to make moves. farama. Mar 20, 2024 · 强化学习环境——gymnasium配置注意，现在已经是2024年了，建议使用最新的gymnasium而不是gym 配置正确的python版本现在是2024年的3月20日，目前的gymnasium不支持python3. The dazzling Ping Pong LED neon lights not only provide a new perspective for table tennis enthusiasts, creating a more vivid and attractive experience, but also enhance the visual effect and attractiveness of room decoration, table tennis club decoration, sports hall decoration, game room decoration, and table tennis matches. I'm not an AI p Gymnasium tra dialoghi e ping-pong, Trani. Gym入门 Gym是用于开发和比较强化学习算法的工具包。 Fig. 5 装环境的过程见本人另一篇 import gymnasium as gym env = gym. 玩转Atari-Pong游戏. register_envs (ale_py) # optional env = gym. Alttaki örnekte Pong başlatıyoruz, alınan her kareyi bir imaj png dosyasına yazıyoruz, bu arada rasgele hareketle yapıyoruz, kayıp ya da başarı var ise döngüden çıkıyoruz. EnvPool is a C++-based batched environment pool with pybind11 and thread pool. py to see it in action! I wrote this because I wanted to apply what I had learned about DQN and DeepRL in a project. Q-Learning on Gymnasium Taxi-v3 (Multiple Objectives) 3. Pong has the action space of Discrete(6) with the table below listing the meaning of each action’s meanings. 175 likes. autograd import Variable: from torch. py # game logic (using pygame) ├── main. make("ALE/Pong-v5", render_mode="human") observation, info = env. nn as nn: import torch. py to start training the agent on Pong-v0 environment. After you import gym, there are only 4 functions we will be using from it. This makes the minimum reward -1 and the maximum +1. nn. 00 per visit for participants under 55 and $1. The two games are Pong-v0 and Cartpole-v0. In doing so, you agree to TODO Describe the bug module 'gym. In this environment, the observation is an RGB image of the screen, which is an array of shape (210, 160, 3) Each action is repeatedly performed for a duration of kk frames, where kk is uniformly sampled from {2, 3, 4}{2,3,4}. reset()重置环境，回到初始状态。渲染环境env. py # DQN模型代码 │ test. Ping Pong. This is an AI project that uses Reinforcement Learning and a Neural network to maximize score in an Atari Game called Assault - Tutz26/AtariAI_Gym_Pong Gymnasium Activities: Friday Open Gym Cancellations : 3/21/25 3/28/25 4/4/25 4/11/25 4/18/25 5/16/25 Ping Pong Time Adjustments and Cancellations : Feb 4, 2010 · Some basic examples of playing with RL. make("ALE/Pong-v5") For more Pong variants with different observation and action spaces, see the variants section. Two games from OpenAI Atari environment were used to demonstrate Genetic Algorithms. You control the right paddle, you compete against the left paddle controlled by the computer. make as outlined in the general article on Atari environments. utils. 作为强化学习最常用的工具，gym一直在不停地升级和折腾，比如gym[atari]变成需要要安装接受协议的包啦，atari环境不支持Windows环境啦之类的，另外比较大的变化就是2021年接口从gym库变成了gymnasium库。 May 21, 2019 · 上記がPong-v0とPong-v4の記述になります。Box(210, 160, 3)とDiscrete(6)でPong-v0が表されているので、Observation Spaceが画像、Action Spaceが6つのボタン（おそらく上下左右とAB）にあたると推測できます。コードの実行に関しては下記を実行することで試すことができます。 Dec 31, 2018 · 그리고 위의 cartpole 코드에서 env = gym. 作为强化学习最常用的工具，gym一直在不停地升级和折腾，比如gym[atari]变成需要要安装接受协议的包啦，atari环境不支持Windows环境啦之类的，另外比较大的变化就是2021年接口从gym库变成了gymnasium库。 Mar 30, 2024 · 强化学习环境升级 - 从gym到Gymnasium. Open AI Gym environment for pong II. py # 测试代码，加载模型并对其测试，并录制的游戏测试视频 | │ report. make("ALE/Pong-v5", render_mode="human") env. 0 Ubuntu 22. 1 检查本地适配python版本 >python -V 1. Microsoft 365. DQN_Pong │ train. 5k次，点赞7次，收藏27次。- Pong是起源于1972年美国的一款模拟两个人打乒乓球的游戏，近几年常用于测试强化学习算法的性能。这篇文章主要记录如何用DQN实现玩Atari游戏中的Pong，希望大家一起交流学习！_gym pong In this example, we'll train a very simple neural network to play Pong using Gymnasium. Restrooms. The current research in reinforcement learning faces the 强化学习经典算法(offline\online learning, q-learning, DQN)的实现在平衡杆游戏和几个Atari 游戏 （CartPole\Pong\Boxing\MsPacman） - xiaohaomao/Reinforcment-Leanring-algorithm A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym) Pong - Gymnasium Documentation Toggle site navigation sidebar Jul 16, 2019 · 效果展示(左边是DQN控制的AI)原理简介让我们用深度强化学习玩乒乓球小游戏吧~源代码（欢迎stars~）CharlesPikachu/AIGames Atari 2600 Pong is a game environment provided on the OpenAI “Gym” platform. Description PyTorch implementation of DQN, DDQN and Dueling DQN to solve Atari games including PongNoFrameskip-v4, BreakoutNoFrameskip-v4 and BoxingNoFrameskip-v4 - iewug/Atari-DQN Simple Q-learning agent for pong. Contribute to ucla-rlcourse/RLexample development by creating an account on GitHub. Teen Open Gym. Basketball. close() System Info pip install -U gym==0. 0 Keras: 2. At a high level, we will use multiple Ray actors to obtain simulation rollouts and calculate gradient simultaneously. Version History# Pong-v0 Maximize your score in the Atari 2600 game Pong. functional as F: import torch. Neither Pong nor PongNoFrameskip works. import gymnasium as gym import ale_py gym. se för att kunna redigera dina uppgifter, ställa frågor om gymnasiestudier samt se vilka intresseanmälningar du skickat till olika gymnasieskolor! Feb 6, 2024 · 文章浏览阅读7. Some basic examples of playing with RL. Liven up your life by learning something new in a class, or escape the chilly fog and play a game of basketball inside! Oct 16, 2024 · 由于gym已经由openai公司独立出来，虽然开发团队和投资方都没有变，但是相关的网站和版本已经由变化了，名字也从gym变成gymnasium，因此我们在讨论gym的时候默认都是指最新的gymnasium版本，其相关地址： Atari 2600: Pong with PPO¶. optim as optim: from torch. Open AI Gym is a library full of atari games (amongst other games). The reward graphs are of the moving average of the reward collected during rollouts for training. The versions v0 and v4 are not contained in the “ALE” namespace. Using Gymnasium API in Python to develop the Reinforcement Learning Algorithm in CartPole and Pong. de Werner-von-Siemens-Gymnasium „Wer das Beste liefert, bleibt schließlich oben, und ich ziehe immer die Reklame durch Leistungen der durch Worte vor. Gymnasium是一个用于单智能体强化学习的标准API和环境集合,它是广受欢迎的OpenAI Gym库的维护分支。Gymnasium提供了一个简单、通用且功能强大的接口,可以适用于各种强化学习问题,同时还包含了大量经典的参考环境。 gymnasium. Atari: 雅达利，最初是一家游戏公司，旗下有超过200款游戏，不过已经破产。在强化学习中，Atari游戏是经典的实验环境之一，因此，本项目旨在学习使用强化学习算法玩Atari游戏。 Users can interact with the games through the Gymnasium API, Python interface and C++ interface. This notebook demonstrates using reinforcement learning to train an agent to play Pong. make("Pong-v0"). The player controls an in-game paddle by moving it vertically across the left or right side of the screen. make(‘环境名’)例如：选择Pong-v0这个环境env = gym. 1. About this Facility. Watch Q-Learning Values Change During Training on Gymnasium FrozenLake-v1; 2. - qlan3/gym-games. We use convolutional neural nets (without pooling) as our function approximators for the state value function \(v(s)\) and policy \(\pi(a|s)\), see AtariFunctionApproximator. numpy: 1. This repository contains the code[Pong. OpenAI gym (Pong-v0) OpenAI Gym is an open-source toolkit for studying and comparing reinforcement learning-related algorithms, contain-ing many classical simulation environments and various data [2]. These functions are; gym. py # main module: Q-learning + game interactions Apr 2, 2023 · This is the first video in a series on teaching a Deep Q Network to play Pong with OpenAI gym, Python, and reinforcement learning techniques. LED Light Up Sign For Wall Decor . make ("ALE/Pong-v5") Alternatively, users can do the following where the ale_py within the environment id will import the module import gym: import numpy as np: from itertools import count: import torch: import torch. 11的环境： 1conda create -n RL python=3. May 16, 2017 · 研究社区已经为 OpenAI Gym 构建环境付出了很多努力，其中有一些是基于开源物理模拟器。在最近的项目中，研究者构建了一组 OpenAI Gym，其可以通过开源物理模拟器 DART 替代 MuJoCo。这表明甚至可以在两个物理模拟器 MuJoCo 和 DART 之间转移策略。 Features. The gymnasium Atari environment offers a set of classic Atari games for training AI agents in RL. make(“Pong-v0”) observation = env. gslbcykyzvhetaitfyqriqkeewapvuwcrpqutwzzbaujuzrxjtqwfuudqsrofpeqxnkfqyjlpggngvezgsq
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