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"instance_id": "instance_33621945a15d3b38", "latency_ms": 129.18726331717343, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1980, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 128.00753771913557, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1981, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 125.9596584161901, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1982, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 145.36475850505374, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1983, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 126.54275480471347, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1984, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 131.41313243734987, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1985, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 145.46882993552586, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1986, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 138.4423348329578, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1987, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 126.16093109618029, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1988, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 127.34481438691823, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1989, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 131.87254378923356, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1990, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 129.38623395699793, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1991, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 133.27572468527643, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1992, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 126.25094526689857, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1993, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 125.841878217514, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1994, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 126.12612752582915, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1995, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 135.4098947436465, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1996, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 125.54301151470969, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1997, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 124.56273077522013, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1998, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} +{"device": null, "end_wall_time": null, "gpu_class": "1x-rtx3090", "inference_ms": null, "instance_id": "instance_33621945a15d3b38", "latency_ms": 125.84843678468121, "latency_type": "profile_sample", "metadata": {"worker_id": 0}, "model_id": "qwengr00t", "obs_id": 1999, "source_run_id": "20260928T235512274259Z", "start_wall_time": null, "workload_id": "ant"} diff --git a/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/observation_attempts.jsonl b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/observation_attempts.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_latency_profile_sample.json b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_latency_profile_sample.json new file mode 100644 index 0000000000000000000000000000000000000000..8f3315d40120d039abb97107b055cb4c50a958c2 --- /dev/null +++ b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_latency_profile_sample.json @@ -0,0 +1,22 @@ +{ + "checkpoint_kind": "best", + "checkpoint_path": "/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qwengr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt", + "experiment_name": "gr00t_ant_measured", + "latency": "profile_sample", + "latency_type": "profile_sample", + "lengths": [ + 1000, + 1000 + ], + "mean_length": 1000.0, + "mean_return": 2427.892284114559, + "returns": [ + 2557.89211964274, + 2297.892448586378 + ], + "seed": 2000160, + "source_profile_path": "/data/ubuntu/lzj/sim2real-return-20260929/results/sim2real/replays/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/4d554e4dcd73eb4074b3f7c819dac1abe263fd40/profile/profile.json", + "std_return": 129.99983552818094, + "suite_name": "profile_sample", + "timestamp_utc": "2026-09-29T05:59:25.942014+00:00" +} diff --git a/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_results.jsonl b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc7adad8cbeec42b3befdce7c7e48954faf60718 --- /dev/null +++ b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/queue_eval_results.jsonl @@ -0,0 +1 @@ +{"checkpoint_kind": "best", "checkpoint_path": "/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qwengr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt", "experiment_name": "gr00t_ant_measured", "latency": "profile_sample", "latency_type": "profile_sample", "lengths": [1000, 1000], "mean_length": 1000.0, "mean_return": 2427.892284114559, "returns": [2557.89211964274, 2297.892448586378], "seed": 2000160, "source_profile_path": "/data/ubuntu/lzj/sim2real-return-20260929/results/sim2real/replays/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/4d554e4dcd73eb4074b3f7c819dac1abe263fd40/profile/profile.json", "std_return": 129.99983552818094, "suite_name": "profile_sample", "timestamp_utc": "2026-09-29T05:59:25.942014+00:00"} diff --git a/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/stdout.log b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/stdout.log new file mode 100644 index 0000000000000000000000000000000000000000..4d8968ce88e5a7ba37322fe55139793540f70471 --- /dev/null +++ b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/stdout.log @@ -0,0 +1,80 @@ +[bench] run=gr00t_ant_measured sweeps=1 episodes_per_sweep=2 total_episode_runs=2 +[bench] sweep 1/1: eval_latency=profile_sample +09/29 [05:56:20] INFO | >> No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' acceleratesupport.py:24 +/data/ubuntu/lzj/conda/envs/qwenoft/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. + check_for_updates() +09/29 [05:56:24] INFO | >> Loaded mixtures from Behavior (data_config): ['BEHAVIOR_challenge'] registry.py:113 + INFO | >> Loaded data_config from DOMINO: ['robotwin'] registry.py:107 + INFO | >> Loaded embodiment_tags from DOMINO (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from DOMINO (data_config): ['domino', 'domino_clean', 'domino_random', 'domino_cotrain'] registry.py:113 + INFO | >> Loaded data_config from Franka: ['custom_robot_config', 'demo_sim_franka_delta_joints', 'SO101'] registry.py:107 + INFO | >> Loaded embodiment_tags from Franka (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from Franka (data_config): ['custom_dataset', 'custom_dataset_2', 'demo_sim_pick_place', 'SO101_pick'] registry.py:113 + INFO | >> Loaded data_config from LIBERO: ['libero_franka'] registry.py:107 + INFO | >> Loaded embodiment_tags from LIBERO (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from LIBERO (data_config): ['libero_all', 'libero_goal', 'multi_robot'] registry.py:113 + INFO | >> Loaded data_config from MIKASA: ['mikasa_franka_h1'] registry.py:107 + INFO | >> Loaded embodiment_tags from MIKASA (data_config): ['mikasa_franka_h1'] registry.py:110 + INFO | >> Loaded mixtures from MIKASA (data_config): ['local/intercept_grab_fast_vla_v0_h1_train'] registry.py:113 + INFO | >> Loaded data_config from RoboChallenge_table30v2: ['ur5_robochallenge', 'arx5_robochallenge', 'dosw1_robochallenge'] registry.py:107 + INFO | >> Loaded embodiment_tags from RoboChallenge_table30v2 (data_config): ['ur5_robochallenge', 'arx5_robochallenge', 'dosw1_robochallenge'] registry.py:110 + INFO | >> Loaded mixtures from RoboChallenge_table30v2 (data_config): ['robochallenge_table30v2_shred_paper', 'robochallenge_table30v2_ur5_all', 'robochallenge_table30v2_arx5_all', registry.py:113 + 'robochallenge_table30v2_dosw1_all'] + INFO | >> Loaded data_config from Robocasa_365: ['panda_omron_robocasa365'] registry.py:107 + INFO | >> Loaded embodiment_tags from Robocasa_365 (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from Robocasa_365 (data_config): ['robocasa365_open_drawer_target_human', 'robocasa365_atomic_target_human_all', 'robocasa365_composite_target_human_all', registry.py:113 + 'robocasa365_target_human_all'] + INFO | >> Loaded data_config from Robocasa_tabletop: ['fourier_gr1_arms_waist'] registry.py:107 + INFO | >> Loaded embodiment_tags from Robocasa_tabletop (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from Robocasa_tabletop (data_config): ['fourier_gr1_unified_1000'] registry.py:113 + INFO | >> Loaded data_config from Robotwin: ['robotwin', 'robotwin50', 'arx_x5'] registry.py:107 + INFO | >> Loaded embodiment_tags from Robotwin (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from Robotwin (data_config): ['robotwin_all', 'robotwin_all_50', 'robotwin', 'robotwin_task1', 'robotwin_task2', 'arx_x5'] registry.py:113 + INFO | >> Loaded data_config from SimplerEnv: ['oxe_droid', 'oxe_bridge', 'oxe_rt1'] registry.py:107 + INFO | >> Loaded embodiment_tags from SimplerEnv (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from SimplerEnv (data_config): ['bridge', 'bridge_rt_1'] registry.py:113 + INFO | >> Loaded data_config from VLA-Arena: ['vla_arena_franka'] registry.py:107 + INFO | >> Loaded embodiment_tags from VLA-Arena (data_config): [] registry.py:110 + INFO | >> Loaded mixtures from VLA-Arena (data_config): ['vla_arena_L0_S', 'vla_arena_L0_M', 'vla_arena_L0_L'] registry.py:113 + INFO | >> Loaded data_config from rl_games: ['rl_games_flappy', 'rl_games_demon_attack', 'rl_games_defend_the_line', 'rl_games_deadly_corridor', 'rl_games_asterix', registry.py:107 + 'rl_games_atlantis', 'rl_games_gymnasium', 'rl_games_gymnasium_discrete', 'rl_games_gymnasium_native'] + INFO | >> Loaded embodiment_tags from rl_games (data_config): ['rl_games_flappy', 'rl_games_demon_attack', 'rl_games_defend_the_line', 'rl_games_deadly_corridor', registry.py:110 + 'rl_games_asterix', 'rl_games_atlantis', 'rl_games_gymnasium', 'rl_games_gymnasium_discrete', 'rl_games_gymnasium_native'] + INFO | >> Loaded mixtures from rl_games (data_config): ['flappy_train', 'flappy_train__bridge', 'flappy_mixed_latency_train', 'flappy_mixed_latency_train__bridge', registry.py:113 + 'demon_attack_train', 'demon_attack_train__bridge', 'demon_attack_mixed_latency_train', 'demon_attack_mixed_latency_train__bridge', 'defend_the_line_train', + 'defend_the_line_train__bridge', 'defend_the_line_mixed_latency_train', 'defend_the_line_mixed_latency_train__bridge', 'deadly_corridor_train', 'deadly_corridor_train__bridge', + 'deadly_corridor_mixed_latency_train', 'deadly_corridor_mixed_latency_train__bridge', 'asterix_train', 'asterix_train__bridge', 'asterix_mixed_latency_train', + 'asterix_mixed_latency_train__bridge', 'atlantis_train', 'atlantis_train__bridge', 'atlantis_mixed_latency_train', 'atlantis_mixed_latency_train__bridge', + 'h1hand_balance_hard'] + INFO | >> PolicyServerWrapper: loading framework from policy_wrapper.py:73 + /data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-q + wengr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt + INFO | >> [*] Loading from local checkpoint path share_tools.py:418 + `/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qw + engr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt` +[QWen3] loading /data/ubuntu/lzj/cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=True + Loading checkpoint shards: 0%| | 0/2 [00:00> [*] Loading from local checkpoint path share_tools.py:418 + `/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qw + engr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt` + INFO | >> [*] Loading from local checkpoint path share_tools.py:418 + `/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qw + engr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt` + INFO | >> [*] Loading from local checkpoint path share_tools.py:418 + `/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qw + engr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt` + INFO | >> PolicyNormProcessor ready: robot_type=rl_games_gymnasium, unnorm_key=new_embodiment, action_keys=['action.button'] (dims=[8]), state_keys=['state.game_state'] policy_norm_processor.py:333 + INFO | >> PolicyServerWrapper ready: action_chunk_size=1, default_unnorm_key=new_embodiment, available_unnorm_keys=['new_embodiment'], action_keys=['action.button'], policy_wrapper.py:126 + state_keys=['state.game_state'] + INFO | >> [*] Loading from local checkpoint path share_tools.py:418 + `/data/ubuntu/lzj/cache/huggingface/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/ant/vla/starvla-qw + engr00t-h1/ant_profile_gr00t_h1_5fps_2h100_20260917/checkpoints/model.pt` + INFO | >> PolicyNormProcessor ready: robot_type=rl_games_gymnasium, unnorm_key=new_embodiment, action_keys=['action.button'] (dims=[8]), state_keys=['state.game_state'] policy_norm_processor.py:333 +[bench] sweep 1/1 episode 1/2 done +[bench] sweep 1/1 episode 2/2 done +[bench] sweep 1/1 complete elapsed=186.3s +episode=0 return=2557.892 steps=1000 mean_latency_ms=130.16120202317967 +episode=1 return=2297.892 steps=1000 mean_latency_ms=130.2271359596128 +summary latency=profile_sample episodes=2 mean_return=2427.892 std_return=130.000 mean_length=1000.0 diff --git a/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/steps.jsonl b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/steps.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06b33068fc8a6c13bf53a9e422015a6c637ff5db --- /dev/null +++ b/sim2real/ant/qwengr00t/1x-rtx3090/instance_33621945a15d3b38/20260928T235512274259Z/sim/temporal/3/steps.jsonl @@ -0,0 +1,2000 @@ +{"active_action": {"is_noop": true, "is_oneshot": false, "name": "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "value": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}, "done": false, "env_step": 0, "episode_id": 0, "info": 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