JoshCarus0
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Parent(s):
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First Push`
Browse files- README.md +35 -0
- SoccerTwos/SoccerTwos-3499976.onnx +3 -0
- SoccerTwos/SoccerTwos-3499976.pt +3 -0
- SoccerTwos/SoccerTwos-3999964.onnx +3 -0
- SoccerTwos/SoccerTwos-3999964.pt +3 -0
- SoccerTwos/SoccerTwos-4499950.onnx +3 -0
- SoccerTwos/SoccerTwos-4499950.pt +3 -0
- SoccerTwos/SoccerTwos-4999990.onnx +3 -0
- SoccerTwos/SoccerTwos-4999990.pt +3 -0
- SoccerTwos/SoccerTwos-5499934.onnx +3 -0
- SoccerTwos/SoccerTwos-5499934.pt +3 -0
- SoccerTwos/checkpoint.pt +3 -0
- SoccerTwos/events.out.tfevents.1699147132.DESKTOP-BDCLF9M.9240.0 +3 -0
- config.json +1 -0
- configuration.yaml +32 -0
- run_logs/Player-0.log +354 -0
README.md
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---
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library_name: ml-agents
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tags:
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- SoccerTwos
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents-SoccerTwos
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---
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# **poca** Agent playing **SoccerTwos**
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This is a trained model of a **poca** agent playing **SoccerTwos**
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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## Usage (with ML-Agents)
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The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
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browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
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- A *longer tutorial* to understand how works ML-Agents:
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https://huggingface.co/learn/deep-rl-course/unit5/introduction
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### Resume the training
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```bash
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mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser**
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1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
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2. Step 1: Find your model_id: JoshCarus0/TheCircleGuys
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3. Step 2: Select your *.nn /*.onnx file
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4. Click on Watch the agent play 👀
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SoccerTwos/SoccerTwos-3499976.onnx
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size 891096
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SoccerTwos/SoccerTwos-3499976.pt
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SoccerTwos/SoccerTwos-3999964.onnx
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SoccerTwos/SoccerTwos-3999964.pt
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SoccerTwos/SoccerTwos-4499950.onnx
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SoccerTwos/SoccerTwos-4499950.pt
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SoccerTwos/SoccerTwos-4999990.onnx
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SoccerTwos/SoccerTwos-4999990.pt
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SoccerTwos/SoccerTwos-5499934.onnx
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size 891096
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SoccerTwos/SoccerTwos-5499934.pt
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size 10315430
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SoccerTwos/checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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size 10314310
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SoccerTwos/events.out.tfevents.1699147132.DESKTOP-BDCLF9M.9240.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:100bc07e68a01666d212dc25c35813032950b20e56a715c966145516f6a69d6c
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size 5731513
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config.json
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{"behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 5000, "buffer_size": 50000, "learning_rate": 0.001, "beta": 0.005, "epsilon": 0.25, "lambd": 0.93, "num_epoch": 10, "learning_rate_schedule": "linear"}, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 3, "vis_encode_type": "match3"}, "reward_signals": {"extrinsic": {"gamma": 0.98, "strength": 1.0}}, "keep_checkpoints": 5, "max_steps": 2000000000, "time_horizon": 500, "summary_freq": 10000, "self_play": {"save_steps": 50000, "team_change": 20000, "swap_steps": 10000, "window": 10, "play_against_latest_model_ratio": 0.55, "initial_elo": 1200.0}}}}
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configuration.yaml
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behaviors:
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SoccerTwos:
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trainer_type: poca
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hyperparameters:
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batch_size: 5000
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buffer_size: 50000
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learning_rate: 0.001
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beta: 0.005
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epsilon: 0.25
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lambd: 0.93
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num_epoch: 10
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learning_rate_schedule: linear
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network_settings:
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normalize: false
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hidden_units: 256
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num_layers: 3
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vis_encode_type: match3
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reward_signals:
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extrinsic:
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gamma: 0.98
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strength: 1.0
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keep_checkpoints: 5
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max_steps: 2000000000
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time_horizon: 500
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summary_freq: 10000
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self_play:
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save_steps: 50000
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team_change: 20000
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swap_steps: 10000
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window: 10
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play_against_latest_model_ratio: 0.55
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initial_elo: 1200.0
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run_logs/Player-0.log
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Mono path[0] = 'C:/Users/JoshC/Desktop/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos/SoccerTwos_Data/Managed'
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Mono config path = 'C:/Users/JoshC/Desktop/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos/MonoBleedingEdge/etc'
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Initialize engine version: 2021.3.14f1 (eee1884e7226)
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[Subsystems] Discovering subsystems at path C:/Users/JoshC/Desktop/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos/SoccerTwos_Data/UnitySubsystems
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Forcing GfxDevice: Null
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GfxDevice: creating device client; threaded=0; jobified=0
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NullGfxDevice:
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Version: NULL 1.0 [1.0]
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Renderer: Null Device
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Vendor: Unity Technologies
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Begin MonoManager ReloadAssembly
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- Completed reload, in 0.070 seconds
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ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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Microsoft Media Foundation video decoding to texture disabled: graphics device is Null, only Direct3D 11 and Direct3D 12 (only on desktop) are supported for hardware-accelerated video decoding.
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ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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WARNING: Shader Unsupported: 'Standard' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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WARNING: Shader Unsupported: 'Standard' - All subshaders removed
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WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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UnloadTime: 0.755000 ms
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Registered Communicator in Agent.
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ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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65 |
+
TOO LONG
|
66 |
+
TOO LONG
|
67 |
+
TOO LONG
|
68 |
+
TOO LONG
|
69 |
+
TOO LONG
|
70 |
+
TOO LONG
|
71 |
+
TOO LONG
|
72 |
+
TOO LONG
|
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+
TOO LONG
|
74 |
+
TOO LONG
|
75 |
+
TOO LONG
|
76 |
+
TOO LONG
|
77 |
+
TOO LONG
|
78 |
+
TOO LONG
|
79 |
+
TOO LONG
|
80 |
+
TOO LONG
|
81 |
+
TOO LONG
|
82 |
+
TOO LONG
|
83 |
+
TOO LONG
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+
TOO LONG
|
85 |
+
TOO LONG
|
86 |
+
TOO LONG
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87 |
+
TOO LONG
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+
TOO LONG
|
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+
TOO LONG
|
90 |
+
TOO LONG
|
91 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
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+
TOO LONG
|
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+
TOO LONG
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+
TOO LONG
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+
TOO LONG
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+
TOO LONG
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
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+
TOO LONG
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
258 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
261 |
+
TOO LONG
|
262 |
+
TOO LONG
|
263 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
268 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
286 |
+
TOO LONG
|
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+
TOO LONG
|
288 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
297 |
+
TOO LONG
|
298 |
+
TOO LONG
|
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+
TOO LONG
|
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+
TOO LONG
|
301 |
+
TOO LONG
|
302 |
+
TOO LONG
|
303 |
+
TOO LONG
|
304 |
+
TOO LONG
|
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+
TOO LONG
|
306 |
+
TOO LONG
|
307 |
+
TOO LONG
|
308 |
+
TOO LONG
|
309 |
+
TOO LONG
|
310 |
+
TOO LONG
|
311 |
+
TOO LONG
|
312 |
+
TOO LONG
|
313 |
+
TOO LONG
|
314 |
+
TOO LONG
|
315 |
+
TOO LONG
|
316 |
+
TOO LONG
|
317 |
+
TOO LONG
|
318 |
+
TOO LONG
|
319 |
+
TOO LONG
|
320 |
+
TOO LONG
|
321 |
+
TOO LONG
|
322 |
+
TOO LONG
|
323 |
+
TOO LONG
|
324 |
+
TOO LONG
|
325 |
+
TOO LONG
|
326 |
+
TOO LONG
|
327 |
+
TOO LONG
|
328 |
+
TOO LONG
|
329 |
+
TOO LONG
|
330 |
+
TOO LONG
|
331 |
+
TOO LONG
|
332 |
+
TOO LONG
|
333 |
+
TOO LONG
|
334 |
+
TOO LONG
|
335 |
+
TOO LONG
|
336 |
+
TOO LONG
|
337 |
+
TOO LONG
|
338 |
+
TOO LONG
|
339 |
+
TOO LONG
|
340 |
+
TOO LONG
|
341 |
+
TOO LONG
|
342 |
+
TOO LONG
|
343 |
+
TOO LONG
|
344 |
+
TOO LONG
|
345 |
+
TOO LONG
|
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+
TOO LONG
|
347 |
+
TOO LONG
|
348 |
+
TOO LONG
|
349 |
+
TOO LONG
|
350 |
+
TOO LONG
|
351 |
+
TOO LONG
|
352 |
+
TOO LONG
|
353 |
+
TOO LONG
|
354 |
+
TOO LONG
|