First Push
Browse files- README.md +35 -0
- SoccerTwos/SoccerTwos-10499988.onnx +3 -0
- SoccerTwos/SoccerTwos-10499988.pt +3 -0
- SoccerTwos/SoccerTwos-499160.pt +3 -0
- SoccerTwos/SoccerTwos-8499902.onnx +3 -0
- SoccerTwos/SoccerTwos-8499902.pt +3 -0
- SoccerTwos/SoccerTwos-8999992.onnx +3 -0
- SoccerTwos/SoccerTwos-8999992.pt +3 -0
- SoccerTwos/SoccerTwos-9499800.onnx +3 -0
- SoccerTwos/SoccerTwos-9499800.pt +3 -0
- SoccerTwos/SoccerTwos-9999948.onnx +3 -0
- SoccerTwos/SoccerTwos-9999948.pt +3 -0
- SoccerTwos/checkpoint.pt +3 -0
- SoccerTwos/events.out.tfevents.1724743384.DESKTOP-VOS1P64.8572.0 +3 -0
- config.json +1 -0
- configuration.yaml +81 -0
- run_logs/Player-0.log +734 -0
- run_logs/timers.json +363 -0
- run_logs/training_status.json +10 -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: maavaneck/poca-SoccerTwos
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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-10499988.onnx
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size 1768747
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SoccerTwos/SoccerTwos-10499988.pt
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SoccerTwos/SoccerTwos-499160.pt
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SoccerTwos/SoccerTwos-8499902.onnx
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SoccerTwos/SoccerTwos-8499902.pt
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SoccerTwos/SoccerTwos-8999992.onnx
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SoccerTwos/SoccerTwos-8999992.pt
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SoccerTwos/SoccerTwos-9499800.onnx
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SoccerTwos/SoccerTwos-9499800.pt
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SoccerTwos/SoccerTwos-9999948.onnx
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SoccerTwos/SoccerTwos-9999948.pt
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SoccerTwos/checkpoint.pt
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SoccerTwos/events.out.tfevents.1724743384.DESKTOP-VOS1P64.8572.0
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version https://git-lfs.github.com/spec/v1
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size 10301226
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config.json
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{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 5, "checkpoint_interval": 500000, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos.exe", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
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default_settings: null
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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: 2048
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buffer_size: 20480
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8 |
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learning_rate: 0.0003
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beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: constant
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beta_schedule: constant
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epsilon_schedule: constant
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network_settings:
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normalize: false
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hidden_units: 512
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num_layers: 2
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vis_encode_type: simple
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memory: null
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goal_conditioning_type: hyper
|
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deterministic: false
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reward_signals:
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extrinsic:
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gamma: 0.99
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strength: 1.0
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network_settings:
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normalize: false
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hidden_units: 128
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num_layers: 2
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vis_encode_type: simple
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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init_path: null
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keep_checkpoints: 5
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checkpoint_interval: 500000
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max_steps: 50000000
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time_horizon: 1000
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summary_freq: 10000
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threaded: false
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self_play:
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save_steps: 50000
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team_change: 200000
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swap_steps: 2000
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window: 10
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play_against_latest_model_ratio: 0.5
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initial_elo: 1200.0
|
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behavioral_cloning: null
|
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env_settings:
|
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env_path: ./training-envs-executables/SoccerTwos.exe
|
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env_args: null
|
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base_port: 5005
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num_envs: 1
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num_areas: 1
|
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seed: -1
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max_lifetime_restarts: 10
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restarts_rate_limit_n: 1
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restarts_rate_limit_period_s: 60
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engine_settings:
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width: 84
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height: 84
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quality_level: 5
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time_scale: 20
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target_frame_rate: -1
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capture_frame_rate: 60
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no_graphics: true
|
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environment_parameters: null
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checkpoint_settings:
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run_id: SoccerTwos
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initialize_from: null
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load_model: false
|
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resume: false
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force: false
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train_model: false
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inference: false
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results_dir: results
|
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torch_settings:
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device: null
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debug: false
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run_logs/Player-0.log
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1 |
+
Mono path[0] = 'C:/Users/maava/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/Managed'
|
2 |
+
Mono config path = 'C:/Users/maava/ml-agents/training-envs-executables/SoccerTwos/MonoBleedingEdge/etc'
|
3 |
+
Initialize engine version: 2021.3.14f1 (eee1884e7226)
|
4 |
+
[Subsystems] Discovering subsystems at path C:/Users/maava/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/UnitySubsystems
|
5 |
+
Forcing GfxDevice: Null
|
6 |
+
GfxDevice: creating device client; threaded=0; jobified=0
|
7 |
+
NullGfxDevice:
|
8 |
+
Version: NULL 1.0 [1.0]
|
9 |
+
Renderer: Null Device
|
10 |
+
Vendor: Unity Technologies
|
11 |
+
Begin MonoManager ReloadAssembly
|
12 |
+
- Completed reload, in 0.232 seconds
|
13 |
+
ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
14 |
+
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.
|
15 |
+
ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
16 |
+
ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
17 |
+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
|
18 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
19 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
20 |
+
ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
21 |
+
WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
|
22 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
23 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
24 |
+
WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
|
25 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
26 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
27 |
+
ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
28 |
+
WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
|
29 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
30 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
31 |
+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
|
32 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
33 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
34 |
+
ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
35 |
+
WARNING: Shader Unsupported: 'Standard' - All subshaders removed
|
36 |
+
WARNING: Shader Did you use #pragma only_renderers and omit this platform?
|
37 |
+
WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
|
38 |
+
UnloadTime: 6.025400 ms
|
39 |
+
Registered Communicator in Agent.
|
40 |
+
ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
|
41 |
+
TOO LONG
|
42 |
+
TOO LONG
|
43 |
+
TOO LONG
|
44 |
+
TOO LONG
|
45 |
+
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|
46 |
+
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|
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|
48 |
+
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|
49 |
+
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|
50 |
+
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|
51 |
+
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+
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|
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+
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|
54 |
+
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|
55 |
+
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|
56 |
+
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|
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+
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|
58 |
+
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|
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+
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|
60 |
+
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|
61 |
+
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|
62 |
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|
63 |
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|
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|
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+
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|
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+
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|
68 |
+
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|
69 |
+
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|
70 |
+
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|
71 |
+
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|
72 |
+
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|
73 |
+
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|
74 |
+
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|
75 |
+
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|
76 |
+
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|
77 |
+
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|
78 |
+
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|
79 |
+
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|
80 |
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|
81 |
+
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|
82 |
+
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|
83 |
+
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|
84 |
+
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|
85 |
+
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|
86 |
+
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|
87 |
+
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|
88 |
+
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|
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+
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|
90 |
+
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|
91 |
+
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|
92 |
+
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|
93 |
+
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|
94 |
+
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|
95 |
+
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|
96 |
+
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|
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+
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|
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+
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|
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+
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|
100 |
+
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|
101 |
+
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|
102 |
+
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|
103 |
+
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|
104 |
+
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|
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+
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+
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|
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+
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|
108 |
+
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|
109 |
+
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|
110 |
+
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|
111 |
+
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|
112 |
+
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|
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+
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|
114 |
+
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|
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+
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|
116 |
+
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|
117 |
+
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|
118 |
+
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|
119 |
+
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|
120 |
+
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|
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+
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|
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+
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|
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+
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|
124 |
+
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|
125 |
+
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|
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+
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|
127 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
144 |
+
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|
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+
TOO LONG
|
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+
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|
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+
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|
148 |
+
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|
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+
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|
150 |
+
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|
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+
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|
152 |
+
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|
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+
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|
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+
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|
155 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
160 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
166 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
172 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
183 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
188 |
+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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|
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+
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|
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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|
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+
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+
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|
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+
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+
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+
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+
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|
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|
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|
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|
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|
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|
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|
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+
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|
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|
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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|
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+
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|
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+
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|
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|
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+
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|
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|
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
342 |
+
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|
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+
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|
344 |
+
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|
345 |
+
TOO LONG
|
346 |
+
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
|
355 |
+
TOO LONG
|
356 |
+
TOO LONG
|
357 |
+
TOO LONG
|
358 |
+
TOO LONG
|
359 |
+
TOO LONG
|
360 |
+
TOO LONG
|
361 |
+
TOO LONG
|
362 |
+
TOO LONG
|
363 |
+
TOO LONG
|
364 |
+
TOO LONG
|
365 |
+
TOO LONG
|
366 |
+
TOO LONG
|
367 |
+
TOO LONG
|
368 |
+
TOO LONG
|
369 |
+
TOO LONG
|
370 |
+
TOO LONG
|
371 |
+
TOO LONG
|
372 |
+
TOO LONG
|
373 |
+
TOO LONG
|
374 |
+
TOO LONG
|
375 |
+
TOO LONG
|
376 |
+
TOO LONG
|
377 |
+
TOO LONG
|
378 |
+
TOO LONG
|
379 |
+
TOO LONG
|
380 |
+
TOO LONG
|
381 |
+
TOO LONG
|
382 |
+
TOO LONG
|
383 |
+
TOO LONG
|
384 |
+
TOO LONG
|
385 |
+
TOO LONG
|
386 |
+
TOO LONG
|
387 |
+
TOO LONG
|
388 |
+
TOO LONG
|
389 |
+
TOO LONG
|
390 |
+
TOO LONG
|
391 |
+
TOO LONG
|
392 |
+
TOO LONG
|
393 |
+
TOO LONG
|
394 |
+
TOO LONG
|
395 |
+
TOO LONG
|
396 |
+
TOO LONG
|
397 |
+
TOO LONG
|
398 |
+
TOO LONG
|
399 |
+
TOO LONG
|
400 |
+
TOO LONG
|
401 |
+
TOO LONG
|
402 |
+
TOO LONG
|
403 |
+
TOO LONG
|
404 |
+
TOO LONG
|
405 |
+
TOO LONG
|
406 |
+
TOO LONG
|
407 |
+
TOO LONG
|
408 |
+
TOO LONG
|
409 |
+
TOO LONG
|
410 |
+
TOO LONG
|
411 |
+
TOO LONG
|
412 |
+
TOO LONG
|
413 |
+
TOO LONG
|
414 |
+
TOO LONG
|
415 |
+
TOO LONG
|
416 |
+
TOO LONG
|
417 |
+
TOO LONG
|
418 |
+
TOO LONG
|
419 |
+
TOO LONG
|
420 |
+
TOO LONG
|
421 |
+
TOO LONG
|
422 |
+
TOO LONG
|
423 |
+
TOO LONG
|
424 |
+
TOO LONG
|
425 |
+
TOO LONG
|
426 |
+
TOO LONG
|
427 |
+
TOO LONG
|
428 |
+
TOO LONG
|
429 |
+
TOO LONG
|
430 |
+
TOO LONG
|
431 |
+
TOO LONG
|
432 |
+
TOO LONG
|
433 |
+
TOO LONG
|
434 |
+
TOO LONG
|
435 |
+
TOO LONG
|
436 |
+
TOO LONG
|
437 |
+
TOO LONG
|
438 |
+
TOO LONG
|
439 |
+
TOO LONG
|
440 |
+
TOO LONG
|
441 |
+
TOO LONG
|
442 |
+
TOO LONG
|
443 |
+
TOO LONG
|
444 |
+
TOO LONG
|
445 |
+
TOO LONG
|
446 |
+
TOO LONG
|
447 |
+
TOO LONG
|
448 |
+
TOO LONG
|
449 |
+
TOO LONG
|
450 |
+
TOO LONG
|
451 |
+
TOO LONG
|
452 |
+
TOO LONG
|
453 |
+
TOO LONG
|
454 |
+
TOO LONG
|
455 |
+
TOO LONG
|
456 |
+
TOO LONG
|
457 |
+
TOO LONG
|
458 |
+
TOO LONG
|
459 |
+
TOO LONG
|
460 |
+
TOO LONG
|
461 |
+
TOO LONG
|
462 |
+
TOO LONG
|
463 |
+
TOO LONG
|
464 |
+
TOO LONG
|
465 |
+
TOO LONG
|
466 |
+
TOO LONG
|
467 |
+
TOO LONG
|
468 |
+
TOO LONG
|
469 |
+
TOO LONG
|
470 |
+
TOO LONG
|
471 |
+
TOO LONG
|
472 |
+
TOO LONG
|
473 |
+
TOO LONG
|
474 |
+
TOO LONG
|
475 |
+
TOO LONG
|
476 |
+
TOO LONG
|
477 |
+
TOO LONG
|
478 |
+
TOO LONG
|
479 |
+
TOO LONG
|
480 |
+
TOO LONG
|
481 |
+
TOO LONG
|
482 |
+
TOO LONG
|
483 |
+
TOO LONG
|
484 |
+
TOO LONG
|
485 |
+
TOO LONG
|
486 |
+
TOO LONG
|
487 |
+
TOO LONG
|
488 |
+
TOO LONG
|
489 |
+
TOO LONG
|
490 |
+
TOO LONG
|
491 |
+
TOO LONG
|
492 |
+
TOO LONG
|
493 |
+
TOO LONG
|
494 |
+
TOO LONG
|
495 |
+
TOO LONG
|
496 |
+
TOO LONG
|
497 |
+
TOO LONG
|
498 |
+
TOO LONG
|
499 |
+
TOO LONG
|
500 |
+
TOO LONG
|
501 |
+
TOO LONG
|
502 |
+
TOO LONG
|
503 |
+
TOO LONG
|
504 |
+
TOO LONG
|
505 |
+
TOO LONG
|
506 |
+
TOO LONG
|
507 |
+
TOO LONG
|
508 |
+
TOO LONG
|
509 |
+
TOO LONG
|
510 |
+
TOO LONG
|
511 |
+
TOO LONG
|
512 |
+
TOO LONG
|
513 |
+
TOO LONG
|
514 |
+
TOO LONG
|
515 |
+
TOO LONG
|
516 |
+
TOO LONG
|
517 |
+
TOO LONG
|
518 |
+
TOO LONG
|
519 |
+
TOO LONG
|
520 |
+
TOO LONG
|
521 |
+
TOO LONG
|
522 |
+
TOO LONG
|
523 |
+
TOO LONG
|
524 |
+
TOO LONG
|
525 |
+
TOO LONG
|
526 |
+
TOO LONG
|
527 |
+
TOO LONG
|
528 |
+
TOO LONG
|
529 |
+
TOO LONG
|
530 |
+
TOO LONG
|
531 |
+
TOO LONG
|
532 |
+
TOO LONG
|
533 |
+
TOO LONG
|
534 |
+
TOO LONG
|
535 |
+
TOO LONG
|
536 |
+
TOO LONG
|
537 |
+
TOO LONG
|
538 |
+
TOO LONG
|
539 |
+
TOO LONG
|
540 |
+
TOO LONG
|
541 |
+
TOO LONG
|
542 |
+
TOO LONG
|
543 |
+
TOO LONG
|
544 |
+
TOO LONG
|
545 |
+
TOO LONG
|
546 |
+
TOO LONG
|
547 |
+
TOO LONG
|
548 |
+
TOO LONG
|
549 |
+
TOO LONG
|
550 |
+
TOO LONG
|
551 |
+
TOO LONG
|
552 |
+
TOO LONG
|
553 |
+
TOO LONG
|
554 |
+
TOO LONG
|
555 |
+
TOO LONG
|
556 |
+
TOO LONG
|
557 |
+
TOO LONG
|
558 |
+
TOO LONG
|
559 |
+
TOO LONG
|
560 |
+
TOO LONG
|
561 |
+
TOO LONG
|
562 |
+
TOO LONG
|
563 |
+
TOO LONG
|
564 |
+
TOO LONG
|
565 |
+
TOO LONG
|
566 |
+
TOO LONG
|
567 |
+
TOO LONG
|
568 |
+
TOO LONG
|
569 |
+
TOO LONG
|
570 |
+
TOO LONG
|
571 |
+
TOO LONG
|
572 |
+
TOO LONG
|
573 |
+
TOO LONG
|
574 |
+
TOO LONG
|
575 |
+
TOO LONG
|
576 |
+
TOO LONG
|
577 |
+
TOO LONG
|
578 |
+
TOO LONG
|
579 |
+
TOO LONG
|
580 |
+
TOO LONG
|
581 |
+
TOO LONG
|
582 |
+
TOO LONG
|
583 |
+
TOO LONG
|
584 |
+
TOO LONG
|
585 |
+
TOO LONG
|
586 |
+
TOO LONG
|
587 |
+
TOO LONG
|
588 |
+
TOO LONG
|
589 |
+
TOO LONG
|
590 |
+
TOO LONG
|
591 |
+
TOO LONG
|
592 |
+
TOO LONG
|
593 |
+
TOO LONG
|
594 |
+
TOO LONG
|
595 |
+
TOO LONG
|
596 |
+
TOO LONG
|
597 |
+
TOO LONG
|
598 |
+
TOO LONG
|
599 |
+
TOO LONG
|
600 |
+
TOO LONG
|
601 |
+
TOO LONG
|
602 |
+
TOO LONG
|
603 |
+
TOO LONG
|
604 |
+
TOO LONG
|
605 |
+
TOO LONG
|
606 |
+
TOO LONG
|
607 |
+
TOO LONG
|
608 |
+
TOO LONG
|
609 |
+
TOO LONG
|
610 |
+
TOO LONG
|
611 |
+
TOO LONG
|
612 |
+
TOO LONG
|
613 |
+
TOO LONG
|
614 |
+
TOO LONG
|
615 |
+
TOO LONG
|
616 |
+
TOO LONG
|
617 |
+
TOO LONG
|
618 |
+
TOO LONG
|
619 |
+
TOO LONG
|
620 |
+
TOO LONG
|
621 |
+
TOO LONG
|
622 |
+
TOO LONG
|
623 |
+
TOO LONG
|
624 |
+
TOO LONG
|
625 |
+
TOO LONG
|
626 |
+
TOO LONG
|
627 |
+
TOO LONG
|
628 |
+
TOO LONG
|
629 |
+
TOO LONG
|
630 |
+
TOO LONG
|
631 |
+
TOO LONG
|
632 |
+
TOO LONG
|
633 |
+
TOO LONG
|
634 |
+
TOO LONG
|
635 |
+
TOO LONG
|
636 |
+
TOO LONG
|
637 |
+
TOO LONG
|
638 |
+
TOO LONG
|
639 |
+
TOO LONG
|
640 |
+
TOO LONG
|
641 |
+
TOO LONG
|
642 |
+
TOO LONG
|
643 |
+
TOO LONG
|
644 |
+
TOO LONG
|
645 |
+
TOO LONG
|
646 |
+
TOO LONG
|
647 |
+
TOO LONG
|
648 |
+
TOO LONG
|
649 |
+
TOO LONG
|
650 |
+
TOO LONG
|
651 |
+
TOO LONG
|
652 |
+
TOO LONG
|
653 |
+
TOO LONG
|
654 |
+
TOO LONG
|
655 |
+
TOO LONG
|
656 |
+
TOO LONG
|
657 |
+
TOO LONG
|
658 |
+
TOO LONG
|
659 |
+
TOO LONG
|
660 |
+
TOO LONG
|
661 |
+
TOO LONG
|
662 |
+
TOO LONG
|
663 |
+
TOO LONG
|
664 |
+
TOO LONG
|
665 |
+
TOO LONG
|
666 |
+
TOO LONG
|
667 |
+
TOO LONG
|
668 |
+
TOO LONG
|
669 |
+
TOO LONG
|
670 |
+
TOO LONG
|
671 |
+
TOO LONG
|
672 |
+
TOO LONG
|
673 |
+
TOO LONG
|
674 |
+
TOO LONG
|
675 |
+
TOO LONG
|
676 |
+
TOO LONG
|
677 |
+
TOO LONG
|
678 |
+
TOO LONG
|
679 |
+
TOO LONG
|
680 |
+
TOO LONG
|
681 |
+
TOO LONG
|
682 |
+
TOO LONG
|
683 |
+
TOO LONG
|
684 |
+
TOO LONG
|
685 |
+
TOO LONG
|
686 |
+
TOO LONG
|
687 |
+
TOO LONG
|
688 |
+
TOO LONG
|
689 |
+
TOO LONG
|
690 |
+
TOO LONG
|
691 |
+
TOO LONG
|
692 |
+
TOO LONG
|
693 |
+
TOO LONG
|
694 |
+
TOO LONG
|
695 |
+
TOO LONG
|
696 |
+
TOO LONG
|
697 |
+
TOO LONG
|
698 |
+
TOO LONG
|
699 |
+
TOO LONG
|
700 |
+
TOO LONG
|
701 |
+
TOO LONG
|
702 |
+
TOO LONG
|
703 |
+
TOO LONG
|
704 |
+
TOO LONG
|
705 |
+
TOO LONG
|
706 |
+
TOO LONG
|
707 |
+
TOO LONG
|
708 |
+
TOO LONG
|
709 |
+
TOO LONG
|
710 |
+
TOO LONG
|
711 |
+
TOO LONG
|
712 |
+
TOO LONG
|
713 |
+
TOO LONG
|
714 |
+
TOO LONG
|
715 |
+
TOO LONG
|
716 |
+
TOO LONG
|
717 |
+
TOO LONG
|
718 |
+
TOO LONG
|
719 |
+
TOO LONG
|
720 |
+
TOO LONG
|
721 |
+
TOO LONG
|
722 |
+
TOO LONG
|
723 |
+
TOO LONG
|
724 |
+
TOO LONG
|
725 |
+
TOO LONG
|
726 |
+
TOO LONG
|
727 |
+
TOO LONG
|
728 |
+
TOO LONG
|
729 |
+
TOO LONG
|
730 |
+
TOO LONG
|
731 |
+
TOO LONG
|
732 |
+
TOO LONG
|
733 |
+
TOO LONG
|
734 |
+
TOO LONG
|
run_logs/timers.json
ADDED
@@ -0,0 +1,363 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"name": "root",
|
3 |
+
"gauges": {
|
4 |
+
"SoccerTwos.Policy.Entropy.mean": {
|
5 |
+
"value": 3.2132580280303955,
|
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