diff --git a/experiments/bulk_running_experiments.ipynb b/experiments/bulk_running_experiments.ipynb
index 849f908d39e03b494cc4aab305c5ea3c2861ab6d..355791352922bad193946f37963dde4496b8443a 100644
--- a/experiments/bulk_running_experiments.ipynb
+++ b/experiments/bulk_running_experiments.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 3,
"id": "3e31b233",
"metadata": {
"scrolled": true
@@ -19,7 +19,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"id": "5a4f8ab4",
"metadata": {
"scrolled": true
@@ -36,7 +36,32 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "env: NUPLAN_DATA_ROOT=../../../datasets/nuplan/dataset\n",
+ "env: NUPLAN_MAPS_ROOT=../../data/nuplan/maps\n",
+ "env: NUPLAN_EXP_ROOT=../../data/nuplan/exp\n",
+ "env: NUPLAN_DEVKIT_ROOT=../../nuplan-devkit/\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Adjust your env variables here if nescesary\n",
+ "%pwd\n",
+ "%env NUPLAN_DATA_ROOT=../../../datasets/nuplan/dataset\n",
+ "%env NUPLAN_MAPS_ROOT=../../data/nuplan/maps\n",
+ "%env NUPLAN_EXP_ROOT=../../data/nuplan/exp\n",
+ "%env NUPLAN_DEVKIT_ROOT=../../nuplan-devkit/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
"id": "64d027e9",
"metadata": {
"scrolled": true
@@ -75,30 +100,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "id": "6f7bd297",
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'/host_home/Repos/nuplan-devkit/experiments'"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%pwd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
+ "execution_count": 34,
"id": "ec762c52",
"metadata": {
"scrolled": true
@@ -109,7 +111,7 @@
"output_type": "stream",
"text": [
"default_simulation\n",
- "/home/ehdykhne/Repos/Datasets/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.18.01.51\n"
+ "../../data/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.20.26.52\n"
]
}
],
@@ -174,7 +176,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 35,
"id": "c221b637",
"metadata": {
"scrolled": false
@@ -184,82 +186,123 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "Global seed set to 0\n",
- "INFO:nuplan.planning.script.builders.main_callback_builder:Building MultiMainCallback...\n",
- "INFO:nuplan.planning.script.builders.main_callback_builder:Building MultiMainCallback: 4...DONE!\n"
+ "Global seed set to 0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "2023-12-08 18:01:51,734 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:19} Building WorkerPool...\n",
- "2023-12-08 18:01:51,735 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:101} Worker: Sequential\n",
- "2023-12-08 18:01:51,735 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:102} Number of nodes: 1\n",
+ "2023-12-08 20:26:55,563 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/main_callback_builder.py:20} Building MultiMainCallback...\n",
+ "2023-12-08 20:26:55,563 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/main_callback_builder.py:20} Building MultiMainCallback...\n",
+ "2023-12-08 20:26:55,582 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/main_callback_builder.py:35} Building MultiMainCallback: 4...DONE!\n",
+ "2023-12-08 20:26:55,582 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/main_callback_builder.py:35} Building MultiMainCallback: 4...DONE!\n",
+ "2023-12-08 20:26:55,734 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:19} Building WorkerPool...\n",
+ "2023-12-08 20:26:55,734 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:19} Building WorkerPool...\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:101} Worker: Sequential\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:101} Worker: Sequential\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:102} Number of nodes: 1\n",
"Number of CPUs per node: 1\n",
"Number of GPUs per node: 0\n",
"Number of threads across all nodes: 1\n",
- "2023-12-08 18:01:51,736 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:27} Building WorkerPool...DONE!\n",
- "2023-12-08 18:01:51,736 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:32} Building experiment folders...\n",
- "2023-12-08 18:01:51,736 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:35} \n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/utils/multithreading/worker_pool.py:102} Number of nodes: 1\n",
+ "Number of CPUs per node: 1\n",
+ "Number of GPUs per node: 0\n",
+ "Number of threads across all nodes: 1\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:27} Building WorkerPool...DONE!\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/worker_pool_builder.py:27} Building WorkerPool...DONE!\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:32} Building experiment folders...\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:32} Building experiment folders...\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:35} \n",
+ "\n",
+ "\tFolder where all results are stored: ../../data/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.20.26.52\n",
"\n",
- "\tFolder where all results are stored: /home/ehdykhne/Repos/Datasets/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.18.01.51\n",
+ "2023-12-08 20:26:55,735 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:35} \n",
"\n",
- "2023-12-08 18:01:51,737 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:70} Building experiment folders...DONE!\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:52} Building AbstractCallback...\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:68} Building AbstractCallback: 0...DONE!\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:49} Building simulations...\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:55} Extracting scenarios...\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/common/utils/distributed_scenario_filter.py:83} Building Scenarios in mode DistributedMode.SINGLE_NODE\n",
- "2023-12-08 18:01:51,738 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
- "2023-12-08 18:01:51,749 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
- "2023-12-08 18:01:51,749 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:35} Building ScenarioFilter...\n",
- "2023-12-08 18:01:51,750 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:44} Building ScenarioFilter...DONE!\n",
- "2023-12-08 18:01:52,005 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:76} Building metric engines...\n",
- "2023-12-08 18:01:52,026 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:78} Building metric engines...DONE\n",
- "2023-12-08 18:01:52,026 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:82} Building simulations from 4 scenarios...\n",
- "2023-12-08 18:01:52,354 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:142} Building simulations...DONE!\n",
- "2023-12-08 18:01:52,355 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/run_simulation.py:114} Running simulation...\n",
- "2023-12-08 18:01:52,355 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/utils.py:138} Executing runners...\n",
- "2023-12-08 18:01:52,355 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:82} Starting 4 simulations using Sequential!\n",
+ "\tFolder where all results are stored: ../../data/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.20.26.52\n",
+ "\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:70} Building experiment folders...DONE!\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/folder_builder.py:70} Building experiment folders...DONE!\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:52} Building AbstractCallback...\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:52} Building AbstractCallback...\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:68} Building AbstractCallback: 0...DONE!\n",
+ "2023-12-08 20:26:55,736 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_callback_builder.py:68} Building AbstractCallback: 0...DONE!\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:49} Building simulations...\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:49} Building simulations...\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:55} Extracting scenarios...\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:55} Extracting scenarios...\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/common/utils/distributed_scenario_filter.py:83} Building Scenarios in mode DistributedMode.SINGLE_NODE\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/common/utils/distributed_scenario_filter.py:83} Building Scenarios in mode DistributedMode.SINGLE_NODE\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
+ "2023-12-08 20:26:55,737 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
+ "2023-12-08 20:26:55,747 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
+ "2023-12-08 20:26:55,747 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
+ "2023-12-08 20:26:55,747 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:35} Building ScenarioFilter...\n",
+ "2023-12-08 20:26:55,747 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:35} Building ScenarioFilter...\n",
+ "2023-12-08 20:26:55,748 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:44} Building ScenarioFilter...DONE!\n",
+ "2023-12-08 20:26:55,748 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_filter_builder.py:44} Building ScenarioFilter...DONE!\n",
+ "2023-12-08 20:26:56,405 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:76} Building metric engines...\n",
+ "2023-12-08 20:26:56,405 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:76} Building metric engines...\n",
+ "2023-12-08 20:26:56,421 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:78} Building metric engines...DONE\n",
+ "2023-12-08 20:26:56,421 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:78} Building metric engines...DONE\n",
+ "2023-12-08 20:26:56,421 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:82} Building simulations from 4 scenarios...\n",
+ "2023-12-08 20:26:56,421 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:82} Building simulations from 4 scenarios...\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:142} Building simulations...DONE!\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/simulation_builder.py:142} Building simulations...DONE!\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/run_simulation.py:114} Running simulation...\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/run_simulation.py:114} Running simulation...\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:138} Executing runners...\n",
+ "2023-12-08 20:26:56,436 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:138} Executing runners...\n",
+ "2023-12-08 20:26:56,437 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:82} Starting 4 simulations using Sequential!\n",
+ "2023-12-08 20:26:56,437 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:82} Starting 4 simulations using Sequential!\n",
"occlusion_window_timesteps 50\n",
"intersection_delta_timesteps 30\n",
"numrel agents 2\n",
"scenario 1f151e15c9cf5c81 1f151e15c9cf5c81\n",
- "time elapsed false 0.2652914524078369\n",
+ "time elapsed false 0.23780369758605957\n",
"occlusion_window_timesteps 50\n",
"intersection_delta_timesteps 30\n",
"numrel agents 1\n",
"scenario 3318937ef0c65127 3318937ef0c65127\n",
- "time elapsed false 0.2999298572540283\n",
- "2023-12-08 18:02:22,015 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:127} Number of successful simulations: 4\n",
- "2023-12-08 18:02:22,016 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:128} Number of failed simulations: 0\n",
- "2023-12-08 18:02:22,016 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/utils.py:147} Finished executing runners!\n",
- "2023-12-08 18:02:22,023 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/utils.py:74} Saved runner reports to /home/ehdykhne/Repos/Datasets/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.18.01.51/runner_report.parquet\n",
- "2023-12-08 18:02:22,023 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/main_callback/time_callback.py:27} Simulation duration: 00:00:30 [HH:MM:SS]\n",
- "2023-12-08 18:02:22,083 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_file_callback.py:79} Metric files integration: 00:00:00 [HH:MM:SS]\n",
- "2023-12-08 18:02:22,122 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:58} Running metric aggregator: open_loop_boxes_weighted_average\n",
- "2023-12-08 18:02:22,133 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:69} Metric aggregator: 00:00:00 [HH:MM:SS]\n"
+ "time elapsed false 0.25443482398986816\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:127} Number of successful simulations: 4\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:127} Number of successful simulations: 4\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:128} Number of failed simulations: 0\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/runner/executor.py:128} Number of failed simulations: 0\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:147} Finished executing runners!\n",
+ "2023-12-08 20:27:19,604 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:147} Finished executing runners!\n",
+ "2023-12-08 20:27:19,607 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:74} Saved runner reports to ../../data/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.20.26.52/runner_report.parquet\n",
+ "2023-12-08 20:27:19,607 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/utils.py:74} Saved runner reports to ../../data/nuplan/exp/exp/simulation/open_loop_boxes/2023.12.08.20.26.52/runner_report.parquet\n",
+ "2023-12-08 20:27:19,608 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/time_callback.py:27} Simulation duration: 00:00:24 [HH:MM:SS]\n",
+ "2023-12-08 20:27:19,608 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/time_callback.py:27} Simulation duration: 00:00:24 [HH:MM:SS]\n",
+ "2023-12-08 20:27:19,648 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_file_callback.py:79} Metric files integration: 00:00:00 [HH:MM:SS]\n",
+ "2023-12-08 20:27:19,648 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_file_callback.py:79} Metric files integration: 00:00:00 [HH:MM:SS]\n",
+ "2023-12-08 20:27:19,672 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:58} Running metric aggregator: open_loop_boxes_weighted_average\n",
+ "2023-12-08 20:27:19,672 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:58} Running metric aggregator: open_loop_boxes_weighted_average\n",
+ "2023-12-08 20:27:19,678 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:69} Metric aggregator: 00:00:00 [HH:MM:SS]\n",
+ "2023-12-08 20:27:19,678 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_aggregator_callback.py:69} Metric aggregator: 00:00:00 [HH:MM:SS]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "Rendering histograms: 100%|██████████| 10/10 [00:01<00:00, 5.03it/s]\n"
+ "Rendering histograms: 100%|██████████| 10/10 [00:01<00:00, 6.98it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "2023-12-08 18:02:25,213 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_summary_callback.py:344} Metric summary: 00:00:03 [HH:MM:SS]\n",
- "2023-12-08 18:02:25,214 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/run_simulation.py:116} Finished running simulation!\n"
+ "2023-12-08 20:27:22,441 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_summary_callback.py:344} Metric summary: 00:00:02 [HH:MM:SS]\n",
+ "2023-12-08 20:27:22,441 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/simulation/main_callback/metric_summary_callback.py:344} Metric summary: 00:00:02 [HH:MM:SS]\n",
+ "2023-12-08 20:27:22,442 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/run_simulation.py:116} Finished running simulation!\n",
+ "2023-12-08 20:27:22,442 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/run_simulation.py:116} Finished running simulation!\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
"<Figure size 600x600 with 2 Axes>"
]
@@ -269,9 +312,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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s/Px8LV68WO3bt1d2drZOnTql/Px8xcbGqkuXLjp+/Lj27NkjSfr888+1fv16ffvtt5o8ebI6duyou+66S3Xr1tU//vEPRUVFaevWrZo5c6aeeuopVa5cWa1atdKyZcvUrFkz3XPPPapYsWJJHTIAVxkuYgJAknTo0CElJiYqLS1N7733noYOHaq2bdtKkiIiIjRs2DBFR0f7Hn/27FnVrl1bXbp0UcWKFeWc09mzZ32PT0hI0Pr161WxYkVlZWVJkt58803t2bNHsbGxkqTs7GyFhob6Iuq2227TiBEj9Omnn0qSevXqpeuuu05ffPGFcnJyFBERoa+//loVKlRQQkICwQSgWBFNADRnzhzVqFFDc+fOVY0aNXT33Xdr9uzZ+uijj8572c7j8Wjx4sXyer2qXbu2Fi9erFtuuUWrVq3Su+++K0m+32K78847lZGRobp160qSunTpoqefftq3zm3btql8+fIqKCiQJJUqVUoej0fOuUK3b731VpUrV07Z2dmqX78+F60EUCI87txPpytIZmamwsPD5fV6ueQArkhnzpzRgQMHdOONN6pMmTKXfP1ZWVlaunSpvvzyS02YMCHgv49+ejxyc3P5/gfgF7ynCcB5KlSooEcffbSkxwCAgEI0AZex06dPl/QIAYHjAKA4EE3AZSgkJERlypTR0aNHS3qUgFGmTBmFhIRwrSYAfkM0AZehoKAg1axZk0D4iX//GBUAuNSIJuAyFRQU5Jc3gQMAisZfywAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAwK/XaVqxYoVWrlypzMxM9e3bV8nJyYqJiVHNmjU1ZswY3+NOnjypQYMGKSQkRG3atNEDDzygpKQkSdLEiRO1c+dO7du3T7179/bnuAAAABfk12iKj49XfHy8Tpw4oREjRqhcuXLKzc1VREREoce9+eab6tatmzp37qwePXqoffv2qlWrlmrUqKHU1FQtW7ZMs2fPvuB2cnJylJOT47udmZnpt30CAABXp2K5IvikSZP0+OOPq3HjxgoKClKPHj3UuXNnVapUSZKUnp6uBg0aSJJKlSqlqlWrSpK+/PJL7d+/X3FxcUpJSVHLli3VqlWr89afkpKiCRMmXNSMh6tHmR9b/XDaRW3rUvo5c0uBNXug4BgWP445gMuRX9/T5JzTk08+qU6dOikmJsb3uVAVK1bUmTNnfI+LjIxUenq6JKmgoECS9MQTT6hHjx4KCgrSli1bNHr0aK1cubLI7YwZM0Zer9f3lZbGD1gAAHBp+fVM09y5c/Xhhx/K6/Vqy5Yt2r17t8qUKaNKlSopIiJCM2fOVNu2bdWlSxcNHjxYK1euVOfOnQs9f/r06VqxYoV++9vfqlatWkVuJzQ0VKGhof7cFQAAcJXzOOdcSQ9xqWVmZio8PFxer1dhYWGm5/Dy3NWLY1j8/HnMf8n3PwBYcMkBAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAACDYH+ufMWKFVq5cqUyMzPVt29f7dixQwcOHFBeXp7mz58vj8cjSXLOaeDAgQoODlbt2rU1fPhwjR07Vrm5uRo0aJAk6Y033tDIkSP9OS4AAMAF+TWa4uPjFR8frxMnTigpKUm5ublasmSJ5s2bpw0bNqhVq1aSpA0bNqh+/fpKTExU7969lZubK+ecevbsqa1bt2rjxo2aNm3aBbeTk5OjnJwc3+3MzEx/7hYAALgKFcvLc5MmTVK/fv103XXXSZJq1qyp9PR03/3p6emKioqSJFWtWlUZGRmqU6eO3nnnHR0/flxNmzbVjBkz9Pbbbxe5/pSUFIWHh/u+zq0LAADgUvFrNDnn9OSTT6pTp06KjY3V999/L0k6dOiQIiMjfY+LjIz0RdSxY8dUuXJlPfLIIxoyZIgOHTqk9PR0DRw4UBs3bixyO2PGjJHX6/V9paWl+XO3AADAVcivL8/NnTtXH374obxer7766ivFxMRo6NChysnJ0aBBg7R8+XKFhoaqc+fOWrp0qYYOHapGjRopJCREkjR9+nSNGDFCu3bt0pQpU1S5cuUitxMaGqrQ0FB/7goAALjKeZxzrqSHuNQyMzMVHh4ur9ersLAw03MOV7e/pFf9cOCcyfo5c0uBNXug4BgWP38e81/y/Q8AFlxyAAAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAINifK9+/f78mT54sr9er119/XZ06dVLNmjVVvnx5zZgxw/c455wGDhyo4OBg1a5dW8OHD9fYsWOVm5urQYMGSZLeeOMNjRw50p/jAgAAXJBfzzTVrl1bCxcu9N0uW7asCgoKVK1atUKP27Bhg+rXr6/nn39en3/+uXJzc+WcU8+ePbV161bNmTNHQ4cO9eeoAAAA/1Gxvjy3fPlyvfjii/rmm2+0fft23/L09HRFRUVJkqpWraqMjAzVqVNH77zzjo4fP66mTZtqxowZevvtt4tcb05OjjIzMwt9AQAAXErFGk1BQT9urmrVqsrOzvYtj4yMVHp6uiTp2LFjqly5sh555BENGTJEhw4dUnp6ugYOHKiNGzcWud6UlBSFh4f7vs4FGAAAwKXi1/c0ZWRk6KmnntK2bduUkpKiL7/8UmXLllV+fr5GjRql5cuXKzQ0VJ07d9bSpUs1dOhQNWrUSCEhIZKk6dOna8SIEdq1a5emTJmiypUrF7mdMWPGKCkpyXc7MzOTcAIAAJeUxznnSnqISy0zM1Ph4eHyer0KCwszPedwdXtkVT+c9ktHu+R+ztxSYM0eKDiGxc+fx/yXfP8DgAWXHAAAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwMH2Myu7duzV//nx9/fXXCgoKUnBwsDp06KCHH35YwcF+/SQWAACAgGAqnvfff1/jx49XxYoVfcs2bNigTz75RG3btvXbcAAAAIHCFE1Dhw6VJJ06dUqrV69WTEyMWrZs6dfBAAAAAonpPU3Hjx+XJM2dO1c33nijZs+e7dehAAAAAo3pTNNzzz2nunXrKiIiQsuWLVNISIi/5wIAAAgopmh65plntGnTJi1fvlyDBw/WTTfd5O+5AAAAAoopmmbMmKHjx4+rRYsW+tvf/iaPx6MnnnjC37MBAAAEDNN7mrxer0aNGqXU1FQlJSXp/vvv9/dcAAAAAcUUTffcc48WLFigfv36SRIvzwEAgKuO6eW5gwcPatiwYYUuZLlv3z4dO3ZMzZo189twAAAAgcIUTTfccIMeffRRZWRk+K4Ifscdd2jAgAH+ng8AACAgmKIpLi5OcXFx/p4FAAAgYPGBvQAAAAZEEwAAgIE5mvr06aPVq1f7cxYAAICAZY6mBQsW6NixY3rggQc0e/ZsnTx50p9zAQAABBRzNGVkZGj//v0KCwvT9ddfr759+/pzLgAAgIBi+u056cePUnn88cdVu3ZtSVJUVJTfhgIAAAg05jNNbdq08QXT6tWr1bx5c78NBQAAEGjM0bR+/Xrfnz/55BO/DAMAABCozC/PHTt2TGvWrJHH49E333zjz5kAAAACjvlM05w5c/Svf/1Le/bs0ezZs/05EwAAQMAxR9OhQ4fk9Xr13XffadasWX4cCQAAIPCYX56bOXOmkpKSVLp0aX/OAwAAEJDM0VS/fn3Vr1/fn7MAAAAELHM0rV27VuvWrVNoaKg8Ho+WLVvmz7kAAAACijmaXnvtNe3evVuxsbFKT0/350wAAAABx/xG8CeeeEKLFi2SJKWkpPhrHgAAgIBkPtNUoUIFXXvttZKkMmXK+GseAACAgGQ+01SlShVt2rRJI0aMUFCQ+WkAAABXBPOZprFjx6pLly5yzqlu3br+nAkAACDgmKOpZ8+e8ng8OnXqlCRpxYoV/poJAAAg4Pys3547Z+bMmX4ZBgAAIFCZo2nXrl2SpPz8fN+fAQAArhbmaFq+fLk8Ho9CQ0OVmJjoz5kAAAACjjmamjRpIo/HI0k6fPiwDh8+rHvuucdvgwEAAAQSczQtWLBALVu2lCRt3LhR8fHx/poJAAAg4JijKTo6WsOHD5ckHTt2TH369PHbUAAAAIHGHE0ej0f9+vWTx+NRtWrV/DkTAABAwDFH06RJk5Senq5rr72Wj1EBAABXHfPnoQwbNkwTJkxQWFgYvz0HAACuOuZoKlWqlGrWrClJCg8P99tAAAAAgcgcTaGhodq9e7fmzZunEydO+HMmAACAgGN6T5NzTl27dlVGRoYKCgr02GOP+XsuAACAgGKKJo/Ho7Vr12rUqFH+ngcAACAgmX977q233tKaNWsUFhYmj8ejZcuW+XMuAACAgGKKprfeeksbNmzQ9u3b1bBhQ3/PBAAAEHBMbwR/9913JUnz58/36zAAAACByhRNBw8e1KpVq3z/XLVqlb/nAgAACCiml+e6d++uY8eO+f7p8Xj8PRcAAEBAMUXTQw895O85AAAAApr54pYAAABXM6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMCAaAIAADAgmgAAAAyIJgAAAAOiCQAAwIBoAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMAg2J8r379/vyZPniyv16vXX39dS5cu1dq1a5WTk6M//OEPKleunO+xo0eP1qlTp1S2bFk9++yzevbZZ5Wdna377rtP0dHRmjp1qlJSUvw5LgAAwAX59UxT7dq1tXDhQt/tv/71r3rppZfUvXt3vfnmm77lhw4dUl5enubMmaOzZ88qLS1NXq9XTzzxhD755BPNmDFDI0aMuOB2cnJylJmZWegLAADgUirWl+c8Ho8kqWbNmkpPT/ctP3z4sKKioiRJNWrUUHp6umJjYzVnzhzVqFFDEREReuGFF7R48eIi15uSkqLw8HDf17l1AQAAXCol8p6mQ4cOKTIy0ne7evXqvohKS0tTZGSkunTpouTkZG3atElVqlRRx44dlZqaWuT6xowZI6/X6/tKS0srlv0AAABXD7++pykjI0NPPfWUtm3bppSUFMXHx+uxxx7T6dOn9fzzz+vvf/+7tm3bpkGDBql06dJKSkpSaGio70zRnDlzlJiYKOec5syZo7Jlyxa5ndDQUIWGhvpzVwAAwFXO45xzJT3EpZaZmanw8HB5vV6FhYWZnnO4uv0lveqHA+dM1s+ZWwqs2QMFx7D4+fOY/5LvfwCw4JIDAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGxRpN69atU6tWrTRw4ECtW7fOt3zt2rV66KGHlJCQoCNHjmjTpk1KTk7WtGnTJEnJycn6/vvvi3NUAACAQoKLc2Mej0fly5fXmTNnFBkZ6Vs+f/58vfbaa9q1a5cWLlyo0NBQDR8+XFOnTtXGjRsVHR2tKlWqFOeoAAAAhRTrmaZWrVpp9erVmjp1qsaNG+db7pxTUFCQatasqfT0dPXs2VOzZs1STEyMli1bpoKCAqWkpCg7O7vI9ebk5CgzM7PQFwAAwKVUrNEUFPTj5ipWrKicnJxCywsKCnTo0CFFRkYqKipKEyZMUFpamgYPHqydO3fq7rvv1urVq4tcb0pKisLDw31fUVFRxbI/AADg6lGs0fTmm2/q0UcfVe/evTV48GD17t1bkjRgwAD169dPzz77rPr27StJ+uqrryRJderUUUFBgV555RXFxMQUud4xY8bI6/X6vtLS0opnhwAAwFXD45xzJT3EpZaZmanw8HB5vV6FhYWZnnO4uv3sVPXDgRNlP2duKbBmDxQcw+Lnz2P+S77/AcCCSw4AAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEEwAAgAHRBAAAYEA0AQAAGBBNAAAABkQTAACAAdEEAABgQDQBAAAYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgUazSdPHlSDz30kPr3768lS5b4lqempiohIUEJCQlKTU3Vvn37NHz4cCUnJ0uSnnvuOe3Zs6c4RwUAACikWKPpzTffVLdu3fTSSy/prbfe8i2fPXu2nn/+ef3+97/X3LlztXXrVvXq1Uv5+fnav3+/8vPz9atf/ao4RwUAACgkuDg3lp6ergYNGkiSSpUq5Vvu9Xp17bXXSpKysrLUoUMHzZo1S7/61a80e/ZstWjRQlOmTNHDDz+siIiI89abk5OjnJycQuuTpMzMTPNsWQUF5sf+nPX628+ZWwqs2QMFx7D4+fOYn3usc+5nbQMA/ptijabIyEilp6ercePGKvjJD83w8HB5vV55PB5VqFBB4eHhGjdunJYuXapu3brpnXfe0ahRo/THP/5RI0eOPG+9KSkpmjBhwnnLo6Ki/LMj4eH+WW9xuJxnDxQcw+L3C455VlaWwvl3BeAS8rhi/OvYyZMnNXjwYJUpU0YtW7bUu+++qz/96U9KTU3VtGnTJEmjRo1S/fr1deLECc2YMUOTJ0/W5MmTdeLECXXp0kXNmzc/b73/fqapoKBAx48fV+XKleXxeP7rXJmZmYqKilJaWprCwsIu3Q6XgCtlX66U/ZDYl+LmnFNWVpYiIiIUFMTvugC4dIo1mgJVZmam72xXoP6PwOpK2ZcrZT8k9gUArhT8NQwAAMCAaAIAADAgmiSFhoZq3LhxCg0NLelRLtqVsi9Xyn5I7AsAXCl4TxMAAIABZ5oAAAAMiCYAAAADogkAAMDgqo+mC32I8OVoxYoV6t+/v3r06KH333+/pMe5aCdPnlSTJk30zjvvlPQov1hBQYGeeuopJSYm6pVXXinpcS7KoUOHFB8fr0ceeUTPPvtsSY8DAMXuqo+mC32I8OUoPj5eL730kubPn6+//OUvJT3ORZs6daq6d+9e0mNclL/97W9KT09X6dKlFRkZWdLjXJQdO3aoW7du+uMf/6ht27aV9DgAUOyu+mhKT0/3fUbdTz9E+HI2adIkPf744yU9xkX54IMPdOutt6pq1aolPcpF2bNnj5o3b66ZM2fqD3/4Q0mPc1GaNWumhQsX6s4771THjh1LehwAKHZXfTSd+xBhSYU+RPhy5JzTk08+qU6dOikmJqakx7ko69at0+bNm7V06VK99NJLl+2/m8jISFWsWFHS5R/lL7/8siZMmKCPPvpIK1euLOlxAKDYXfXXafr3DxFOSEgo6ZF+sTlz5uiVV15RbGysGjdurIEDB5b0SBdt0aJFqlKliu67776SHuUXOXXqlBITE1W2bFlFR0df1mcAU1NTNX78eFWpUkXly5fXjBkzSnokAChWV300AQAAWFz1L88BAABYEE0AAAAGRBMAAIAB0QQAAGBANAEAABgQTQAAAAZEE0rMokWL/uvnyl3Ki1oW5wUyLfsGALi8BJf0ALjyLFq0SGvXrtU111yjG264QXl5eUpNTdVjjz2m1atX6/Tp0+ratas2bNigU6dOSZJCQ0O1cuVK331HjhzRhx9+qCZNmujs2bM6ePCgwsPD9cwzzxS5rVtvvVWlSpXSiBEjNHnyZH3//ffKysrSc889p549e6p58+aKjY1V+/btfc9dunSp1q1bpwoVKmjKlClasWKFNm/erMzMTCUmJqqgoECzZs1SlSpV1K9fP+3du1dvv/22zpw5o/Hjx2vDhg36+OOPVbt2bQUFBempp57S6NGj5ZzTnj171K9fv2I97gAA/yKa4BcdOnTQgw8+qLvuuktr1qzRlClTNG/ePN1+++269tpr9dlnn6lly5a+q3137ty50H2RkZHq1KmTEhISlJiYqNjYWHXq1KnIbbVv3169evXSAw88oJ07d2r9+vW64447dObMGe3evVsFBQUaNWqUgoML/+e+b98+NWzYUL/+9a8VGhqqefPm6a677lKZMmX02Wefaf369XrxxRdVtmxZSdLTTz+tN954QwcPHtTcuXNVv359dezYUT169FDPnj3l9Xp19OhRLVq0SFOnTvX7MQYAFC+iCX4RFhYmSbruuuskSSEhITp16pSSk5N98fLqq6/6Hl9QUFDovkWLFik8PFySNHv2bG3ZskW/+c1vtHTpUt+6z8nPz5ck5eXlSZLq1aun8ePH++4vW7bsecEk/RhBX3zxhUaOHKlnnnlG11xzTaHnffzxx/J4POc9z+Px6NyF9MuVKydJvtshISGSfjxzBgC4shBNKDatW7dWv379VKlSJTVp0kSNGjXS5MmTlZ+fryFDhhS676emTZum77//XpUqVfKd9fmp999/X9u3b1fTpk1Vr149BQUFKSkpSadPn9bYsWMvOM+LL76ovXv3KigoSJUrV1avXr00YMAAXXPNNbr33nv1xBNPaNCgQapWrZoefvhh9erVS48++qhOnTqlp59+Wps2bSq0vvDwcN1www363e9+p40bN+rmm2++NAcOABAQ+Ow5XNYu9w/0BQBcPjjThMvKu+++q82bN/tujx49WmXKlPH7cwEA4EwTAACAAddpAgAAMCCaAAAADIgmAAAAA6IJAADAgGgCAAAwIJoAAAAMiCYAAAADogkAAMDg/wH4aqWDBdHMVwAAAABJRU5ErkJggg==",
"text/plain": [
- "<Figure size 600x600 with 6 Axes>"
+ "<Figure size 600x600 with 2 Axes>"
]
},
"metadata": {},
@@ -279,9 +322,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- "<Figure size 600x600 with 4 Axes>"
+ "<Figure size 600x600 with 6 Axes>"
]
},
"metadata": {},
@@ -289,7 +332,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
"<Figure size 600x600 with 6 Axes>"
]
@@ -299,7 +342,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
"<Figure size 600x600 with 6 Axes>"
]
@@ -309,9 +352,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- "<Figure size 600x600 with 6 Axes>"
+ "<Figure size 600x600 with 4 Axes>"
]
},
"metadata": {},
@@ -319,7 +362,7 @@
},
{
"data": {
- "image/png": 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VK6frr79eCxYs0L///W9lZ2dLkp577jmNGDFCc+bMUceOHVW+fPmzxmzUqJHeffddBQcHKy8vT35+fqpdu7Y2bdqkNm3auP+tXbu2kpKSJEkbNmzQDTfcUGCNBY33448/6rvvvlPt2rW1cuVK3XXXXZKkTZs2qUmTJtq4caOaNm2qMmXKqFu3bnryySclnWowks7YjF2mTBnl5eVZv2fZ2dm6//77NWfOHF111VUFzlOlShXVrVtXH330kcqWLauTJ0+6Q+Yfl33655CQEO3evVsnTpxQTk6OcnJy3A27sE3uQGm0cOFC3XPPPerXr5+GDRsmY4w6duyouLg41apVS4GBgapdu7aWL18u6dQ6X5i6devqvvvuU4sWLSSdWv+XLVumTZs2qXPnzu7nnmv9O994LpdLzz33nCZPnqyJEycqLi7ujLo2btyo2rVrq1atWgoLC9Py5cvlcDjcvUj6/3X8QnuRJA0YMEDdunVTREREofP8/e9/19SpU1WzZk0ZY5SXl6f58+cX2Isk6eqrr9bWrVtVt25dffvttxo0aJDWrl1LL7pAhKZLyIkTJ7Ry5Upt2rRJV199tWrUqKHvv/9eGzduVFJSkurXr68xY8Zo9uzZZz33ueeeU6dOnZSfn6/AwEAtXbpUjz32mHr06KF///vfuuyyy1SmTBk1bdpU1157rSIiIhQQEKC5c+cWWMufx3vvvfc0dOhQzZ49W1dddZXatWunW2+9VZL0zTff6O2339aVV16pp59+Wv7+/vrss8/UqlUrORwORUdHuz9xnda6dWuNHTtWn332meLj489avtPpVJs2bSSdaq433nijdu3apaFDh0qSJk2apMjIyDOe4+fnp/Hjx+uOO+6Qn5+fQkJClJiYWOj77e/vr8cff1wtW7aUn5+fnnnmmXP8doDS6/bbb9cDDzygDz74QJdddpkkqWvXrqpRo4aWLVsm6dQW2qCgILVs2VI333xzoVu9x40bp/79+7uPv3z++efVsWNHLVq0SLfffrtq1aqlMmXKWK9/BY23ePFiPfzww+revbt69OihL774QpKUk5Ojdu3a6ciRI3r77bdVpUoV3X///YqMjJS/v78aNmyo6dOnnzF+w4YNFRMTo65du+rVV191H6/0R/3799cVV1whSXryySeVmJioXbt2ae7cubrvvvsK/EZvXFycBg0apBMnTsjf319vvPHGOX8Hzz77rPr16ydjjO6++25dd91155wfBXMY84ev+wAX4I+buv/1r39pxIgR7qBTVPr06aMxY8aoQYMGRTougOLn9Nbbjz76SEuXLtWsWbMu+LmvvPKKMjMzNXbs2CKtLSEhQUeOHHF/sMKliS1NOMuDDz6oXbt2ue8/8MADZ23JkaTdu3erT58+ys3NVaNGjQoNTLbjeUJWVpb++c9/njHt3//+9zmPmTjtrrvu0vHjx933H330Ud19991FXiOAUwYOHKiff/5Z+fn5evPNNxUfH3/GMYYNGzbUjBkzCnzuP//5Tx05ckSBgYHub+b92YWM5wkX2wtjYmL05Zdfuu/fcccdGjdunEdqxLmxpQkAAMACR4ABAABYIDQBAABYIDQBAABYIDQBAABYKFXfnsvPz9f+/ftVoUKFM07qCKB4McYoOztbVatWLbUn16MfASWHbU8qVaFp//797ktqACj+9u7dq+rVq/u6DI+gHwElz/l6UqkKTRUqVJB06kUHBQX5uBoAhXE6nQoNDXWvs6UR/QgoOWx7UqkKTac3gQcFBdGkUGzk5+crJyfH12UUG2XLlnX/XJp3W9GPUBzRj85UtmzZM3bHna8nlarQBBQ3+fn57ouG4pRy5cq5r7wOwHvoR2crV66catasaT0/oQnwoJycHJ04cULXXHON+0Kll7Ljx4/rwIEDys3N9XUpwCWHfnSm0/3oQra8EZoAL7jsssuU8bcbrOevtm/vWdMmTpyo8ePHuy+SXJCHHnpIYWFhCg8P12233eaenpCQoIiICNWuXfu8y05JSVFiYqJOnjypuLg4TZs2rdArxAMoeehHF4/QBJQw8fHx8vPzU15enqKiovTuu+8qIyND3bt3d89z5ZVXavz48XrmmWc0fvx4+fn56eDBg6pTp47Kly+vgIAA5ebmav78+brjjjt05MgRHTt2TLm5uQoPD1enTp10+PBhbd++XZL03Xffac2aNfrtt9/07LPPql27drr99ttVr149bdy4UaGhofrmm280bdo0jRs3TldeeaVatGihxMRENWvWTO3bt2eXHFAKXWr9qHSeIAUoxfbs2aNhw4Zp7969Wr16tUaMGKFWrVpJkqpWraqRI0eqbt267vnz8vJUq1YtderUSZUqVZIxRnl5ee75o6OjtWbNGlWqVEnZ2dmSpCVLlmj79u0KDw+XJPfV4083rZtvvlljxozRV199JUnq2bOnQkJC9P3338vlcqlq1ar65ZdfVKFCBUVHRxOYgFLqUutHHg1NO3fuVN++fdWlSxdJ0sKFC9W/f3/16tVLR48e1dGjR9W7d2/1799fCxYsUF5enkaMGKERI0YoKytL69ev11tvveXJEoESZfr06apRo4ZmzJihGjVq6M4771R8fLw+++yzszaTOxwOzZ8/X1lZWapVq5bmz5+vOnXq6MMPP9SqVaskyf2tkdatWysjI0P16tWTJHXq1ElPPvmke8xNmzapfPnyys/PlyT5+/vL4XDIGHPG/RtvvFFXXHGFjhw5ogYNGhSrE1fSj4CidSn2I4c5vRQP6tKli95991117dpVixcv1vLly5WZmSlJqlixojp06KDu3btrxowZWrBggWrUqKFrrrlGiYmJio+Pt16O0+lUcHCwsrKy+IovioUTJ05o165duv7661WuXLkiHz87O1sLFy7Utm3bNGnSpGL/d3/6/QgJCVFISIhP1lX6ES5V9KMz/fH9yMnJsVpfvXpM0+nzH9SsWVOpqamSpIYNG0o6lQyvuuoqSdK2bdu0c+dORUZGKjY2VhEREWrRosVZ47lcLrlcLvd9p9Pp6ZcAFCsVKlTQwIEDfV1GiUQ/AorWpdCPfHIg+J49e9ynKU9PT9dNN93k3sz2yCOPaMeOHVq2bJk2bNigKVOmKCYmpsAmFRsbq0mTJnm1dvjGvmp2l6Mo6FsexcHx48d9XUKxUBzfB/oRLpRtP5KKZ08qjuuhL1zM++DR3XMZGRkaN26cPv74Y/Xr1081a9bU2rVrdfz4cb388suSpKFDh6pcuXKKiIhQdHS0JGnEiBF64YUXlJSUpNTUVFWrVk2DBg06a/yCPtmFhoayObwUKqmhiZPJne30yS0rVark1XWVfoSiUlJDE/3obKdPbnnkyBGr3XNeOabJWziGoPQqqaFJ4rIFf1a2bFnrBlWS0Y9Kr5IamiT60Z+dvoyK7frKeZoAD/Pz8/PIQZcAcKHoR39N8fk+MAAAQDFGaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALAQ4M2F7dmzR8OHD1flypVVp04d1ahRQ8nJyXK5XJo1a5ZWrlyp7du3KyQkRAMGDNDIkSMVFxenwMBAb5YJ4BJBTwJwIRzGGOOtha1YsUKZmZnq2bOnunfvrvz8fC1evFjLly9XZmamtmzZotjYWD3++OO66aabdO211yoyMrLQ8Vwul1wul/u+0+lUaGiosrKyFBQU5I2XBC/ZVy3Uar5q+/Z6uBIUBafTqeDgYJ+vq0XZk+hHlw7bfiTRk0oK257k1d1zzZo10+uvv67WrVurXbt2cjgckqSaNWsqPT1dPXr00FNPPaVmzZpp8+bNSk1N1QsvvKC8vLwCx4uNjVVwcLD7Fhpq/4cMAEXZk+hHQOnn1dA0d+5cTZo0SZ999plWrFjhnr5nzx5Vr15dYWFhmjx5sjZs2KBevXopJydHtWrV0rffflvgeDExMcrKynLf9u4l0QOwV5Q9iX4ElH5ePaapXbt2mjhxohYuXKjrrrtOjRs31uDBg3X8+HG9/PLLkqS1a9eqfv36uuGGG/TTTz/pp59+UmxsbIHjBQYGcmwBgItWlD2JfgSUfl49psnTistxEih6HNNUulwK6+ql8BovVRzTVPoUy2OaAAAASipCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgAVCEwAAgIUAm5m2bt2q2bNn65dffpGfn58CAgLUtm1b9enTRwEBVkMAQJGhJwHwBavu8tFHH2nixImqVKmSe9q6deu0du1atWrVymPFAUBB6EkAfMEqNI0YMUKSdOzYMa1cuVKNGzdWRESERwsDgMLQkwD4gtUxTYcPH5YkzZgxQ9dff73i4+M9WhQAnAs9CYAvWG1pevHFF1WvXj1VrVpViYmJKlu2rKfrAoBC0ZMA+IJVaHr66ae1fv16LV68WEOHDtXf/vY3T9cFAIWiJwHwBavQNHXqVB0+fFi33Xabli1bJofDoUceeeSCF5afn68nn3xSTqdTTZs2VZkyZZScnCyXy6VZs2Zp5cqV2r59u0JCQjRgwACNHDlScXFxCgwMvOBlASi96EkAfMHqmKasrCw99thjSktL06hRo3Tvvfde1MKWLVum9PR0lSlTRtWrV9fSpUv16quvqlu3blqyZIm++eYbjRs3Tjt37tSiRYt03333nbM5uVwuOZ3OM24ASr/i2JPoR0DpZxWa2rdvr9dee039+vWTpIveFL59+3Y1b95c06ZN06xZs+RwOCRJNWvWVHp6unr06KGnnnpKzZo10+bNm5WamqoXXnhBeXl5BY4XGxur4OBg9y00NPSi6gJQshTHnkQ/Ako/q9C0e/dujRw5UtWrV3dP+/nnn/Xf//73ghZWvXp193lV/P393dP37Nmj6tWrKywsTJMnT9aGDRvUq1cv5eTkqFatWvr2228LHC8mJkZZWVnu2969ey+oHgAlU3HsSfQjoPSzOqbp2muv1cCBA5WRkeE+++4//vEPDRgw4IIW1qlTJw0bNkxr165Vy5YtValSJQ0ePFjHjx/Xyy+/LElau3at6tevrxtuuEE//fSTfvrpJ8XGxhY4XmBgIMcWAJeg4tiT6EdA6ecwxhhfF1FUnE6ngoODlZWVpaCgIF+XgyK0r5rdro5q+/h0XxJcCuvqpfAaL1W2/UiiJ5UUtusrF+wFAACwQGgCAACwYB2aevXqpZUrV3qyFgCwRk8C4G3Woem1117ToUOHdP/99ys+Pl5Hjx71ZF0AcE70JADeZh2aMjIytHPnTgUFBemaa65R3759PVkXAJwTPQmAt1mdckA6ddmCIUOGqFatWpLEidsA+BQ9CYC3WW9pioqKcjenlStXqnnz5h4rCgDOh54EwNusQ9OaNWvcP69du9YjxQCALXoSAG+z3j136NAhffrpp3I4HPr11189WRMAnBc9CYC3WW9pmj59un788Udt375d8fHxnqwJAM6LngTA26xD0549e5SVlaWDBw/qpZde8mBJAHB+9CQA3ma9e27atGkaNWqUypQp48l6AMAKPQmAt1mHpgYNGqhBgwaerAUArNGTAHibdWhKTk5WSkqKAgMD5XA4lJiY6Mm6AOCc6EkAvM06NL399tvaunWrwsPDlZ6e7smaAOC86EkAvM36QPBHHnlECQkJkqTY2FhP1QMAVuhJALzNektThQoVVLFiRUlSuXLlPFUPAFihJwHwNustTVWqVNH69es1ZswY+flZPw0APIKeBMDbrLc0PfHEE+rUqZOMMapXr54nawKA86InAfA269DUo0cPORwOHTt2TJKUlJTkqZoA4LzoSQC87YK+PXfatGnTPFIMANiiJwHwNuvQtGXLFklSbm6u+2cA8BV6EgBvsw5NixcvlsPhUGBgoIYNG+bJmgDgvOhJALzNOjQ1bdpUDodDkrRv3z7t27dP7du391hhAHAu9CQA3mYdml577TVFRERIkr744gt17NjRUzUBwHnRkwB4m3Voqlu3rkaPHi1JOnTokHr16uWxogDgfOhJALzNOjQ5HA7169dPDodDV199tSdrAoDzoicB8Dbr0PTMM88oPT1dFStW5JIFAHyOngTA26yvPTBy5EhNmjRJQUFBfFMFgM/RkwB4m3Vo8vf3V82aNSVJwcHBHisIAGzQkwB4m3VoCgwM1NatWzVz5kxlZmZ6siYAOC96EgBvszqmyRijzp07KyMjQ/n5+Ro8eLCn6wKAQtGTAPiCVWhyOBxKTk7WY4895ul6AOC86EkAfMH623Pvv/++Pv30UwUFBcnhcCgxMdGTdQHAOdGTAHibVWh6//33tW7dOm3evFlhYWGergkAzomeBMAXrA4EX7VqlSRp9uzZHi0GAGzQkwD4gtWWpt27d+vDDz90/yvpoi+MefToUUVGRmrixInavn27du3apZMnT2r27NmaM2eOMjIyVK9ePXXo0EGjR4/W9OnTL2o5AEqvoupJ9CMAF8JqS1O3bt106NAh97+///77RS8wLi5O3bp1U35+vr799lvNnDlTDRs21Lp167R792498cQT2rBhg2bOnKmhQ4de9HIAlF5F1ZPoRwAuhNWWpt69exfJwj7++GPdeOONOnHihLKyshQSEiJJqlmzptLT09W2bVtNmDBBt956q7Zt26akpCSVL19eDz/8cIHjuVwuuVwu932n01kkdQIo3oqiJ9GPAFwo62/PFYWUlBQdPXpUW7Zskb+/vypVqiRJ2rNnj8LCwtSiRQtFRUVpxIgR6tq1qw4ePKhdu3bp0KFD7ob2R7GxsZo0aZI3XwKAUoJ+BOBCOYwxxtsLTUhIUJUqVfTjjz9q9+7dcrlcmjVrlhwOhxYuXKjQ0FA1aNBAMTEx8vf31/Tp0+Xv73/WOAV9sgsNDVVWVpaCgoK8+ZLgYfuqhVrNV23fXg9XgqLgdDoVHBxcLNZV+hEulG0/kuhJJYVtT/JJaPKU4tSIUbQITaXLpbCuXgqv8VJFaCp9bNdX62vPAQAAXMoITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYCvLmwpKQkrVixQk6nU3379lVqaqp27dqlkydPavbs2ZozZ44yMjJUr149dejQQaNHj9b06dO9WSKASwg9CcCF8Gpo6tixozp27KjMzEyNGjVKOTk5WrBggWbOnKl169Zp9+7dmjJlip544gnt3r1bQ4cO9WZ5AC4x9CQAF8Inu+eeeeYZ9evXTyEhIZKkmjVrKj09XW3bttWECRN06623yuVyKSkpSf/5z38KHcflcsnpdJ5xA4ALVRQ9iX4ElH5eDU3GGI0dO1Z33XWXwsPD9fvvv0uS9uzZo+rVqysqKkqTJ09WcnKyIiIiVLt2bR0/flyHDh0qcLzY2FgFBwe7b6Ghod58OQBKuKLsSfQjoPRzGGOMtxY2ffp0vfnmmwoPD9dNN92kY8eOaffu3XK5XJo1a5YcDocWLlyo0NBQNWjQQDExMfL399f06dPl7+9/1ngul0sul8t93+l0KjQ0VFlZWQoKCvLWy4IX7Ktm9x9QtX17PVwJioLT6VRwcLDP19Wi7En0o0uHbT+S6EklhW1P8mpo8rTi0ohR9AhNpculsK5eCq/xUkVoKn1s11dOOQAAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGCB0AQAAGAhwNcFHD16VA8//LDKli2rqKgoff3115KkyZMn64cfftDPP/+sBx54wMdVArgU0I8AnIvPQ9OSJUvUpUsXdejQQa1atdK9996rGjVqKC0tTYmJiYqPjy/0uS6XSy6Xy30/KytLkuR0Oj1eN7wrOz/faj5+9yXD6d+TMcbHlZyJfgQbtv1I4vdfUtj2JJ+HpvT0dDVs2FCSdO2110qStm3bpp07dyoyMlKxsbGKiIhQixYtznpubGysJk2adNb00NBQzxaN4is42NcV4AJkZ2cruBj9zuhHKHLF6O8b53e+nuQwPv6o99Zbb6lSpUq65557dP/992vRokXasWOHli1bpt9//11TpkxRTEyMnnvuubOe++dPdvn5+Tp8+LCuvPJKORwOb74MSaeSamhoqPbu3augoCCvL/9CUKtnlJRafV2nMUbZ2dmqWrWq/PyKz6GVpakfSb7/PdsqKXVK1Oopvq7Vtif5fEtTp06dNHToUK1YsUIdOnSQJM2YMUMvvPCCkpKS9NRTT+m6664r8LmBgYEKDAw8Y1rFihU9XPH5BQUFFfs/0NOo1TNKSq2+rLM4bWE6rTT2I4m/R0+gVs8o7j3J51uaShOn06ng4GBlZWUV+z9QavWMklJrSakTf01J+T2XlDolavWUklJr8dkuDgAAUIwRmopQYGCgJkyYcNYm+uKIWj2jpNRaUurEX1NSfs8lpU6JWj2lpNTK7jkAAAALbGkCAACwQGgCAACwQGgCAACwQGgqAvv371d0dLR69eql5OTksx5fvXq1ateu7YPKznauWh999FENHDhQ3bt3V3Z2to8qPHX9r969e6t///5asGCBe3paWpqio6MVHR2ttLQ0n9V3WmF1Pvfccxo4cKA6d+6s9PR0H1b4/wqrVZJSU1N11VVX6ciRIz6qDkWNnlR0Sko/kuhJXmHwl02ePNls3rzZ5OXlmR49epzxWGZmpnn88cdN586dfVTdmc5V62nTpk0za9as8XJl/2/evHnm/fffN8YY061bN/f0fv36mczMTPO///3PDBgwwFfluRVW52lLliwx8+bN83ZZBSqs1pycHDN8+HDTq1cvk52d7avyUMToSUWnpPQjY+hJ3uDzM4KXNKmpqYqJiTljWkhIiEJDQws89fqzzz6rmJgYDRgwwFslul1orZJ04MABbdy4UcOHD/dGiQX64/W//P393dOzsrLcZ1j25Zaw0wqrU5KOHDmixMREvfLKK74o7SyF1Tp16lQNHz5cTz/9tK9Kw19ET/KsktKPJHqSN7B77gI1bNhQy5cvP+NWq1YtpaenK/9PV74+evSoduzYocmTJ+v777/X/Pnzi22tkrRv3z49+uijevnll89a4bypevXq7k3If6zz9NlinU6nKlSo4Kvy3Aqr0+l0avDgwXr++eeLRZ1S4bV+9913mjFjhr7++mvNmTPHV+XhL6AneVZJ6UcSPckbOE9TEdi/f78ef/xxBQQEqGfPnmrdurUeeOABvfXWW+55unTponfffdeHVZ5yrlqbNGmiOnXqKDg4WIMHD1ajRo18UuPRo0c1dOhQlStXThEREVq1apXeeustpaWl6fnnn5ckPfbYY2rQoIFP6jtfnZ06ddLJkydVrVo1devWTa1bt/Zpneeq9bQ+ffpo5syZKl++vA+rRFGhJxWdktKPJHqSNxCaAAAALLB7DgAAwAKhCQAAwAKhCQAAwAKhCQAAwAKhCQAAwAKhCcVaQkKCli9ffs55Cjq/CwB4Aj3p0sYZweETCQkJSk5O1mWXXaZrr71WJ0+eVFpamgYPHqyVK1fq+PHj6ty5s9atW6djx45JkgIDA7VixQr3Y/v379cnn3yipk2bKi8vT7t371ZwcHCxPZMsgOKLngQbnKcJPpGQkKCyZcvqX//6l26//XZ9+umnmjJlir788ks1adJEkhQQEKDq1aurSpUquueee9ShQ4ezHitTpoyio6M1bNgwhYeH66677lJISIgvXxqAEoieBBtsaYLPBAUFSZK7oZQtW1bHjh3T+PHjFRBw6k9z3rx57vnz8/PPeCwhIUHBwcGSpPj4eG3YsEEPPvigFi5c6B4bAGzRk3A+hCYUKy1btlS/fv1UuXJlNW3aVI0aNdKzzz6r3NxcDR8+/IzH/uj555/X77//rsqVK+vyyy/3UfUASht6Ev6I3XMAAAAW+PYcAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABUITAACABULTJeLtt99Ws2bNFBUVpS1btkiSDhw4oDvvvFO33Xab5s+f7+MKi84rr7xS6GMpKSkaM2bMGdMGDhyo5s2bq1mzZvr44489XR4AoIRyGGOMr4uAZ+Xl5Sk8PFxfffWVDh48qCFDhigpKUmPPPKI7r77bkVFRalFixZKTk5WuXLlfF3uX5Kfn69bbrlFGzduLPDxlJQULV++XFOnTnVP27lzp2rVqqXMzEy1bdtWX3/99UUt18/v1GeQ06uUw+Gwmh8AUDLQtUuhlJQU3XnnnerQoYPCw8O1bt06VatWTWXKlFG1atW0bds2SdLXX3+t1q1bKyAgQE2bNlVaWlqB402ZMkWRkZFq2bKlUlNTJUlvvvmmmjZtqt69e+vGG2+UJKWnp6tNmzZq2bKlhg4dWmh9fx7vwIEDatGihU6cOKE33nhDEyZMkCTVrVtXPXr0UNOmTbVw4UJJpwJO27ZtFRUVpUceeUSSlJCQoPvvv18dOnTQ22+/re3btysqKsr9nPOpVauWJCkwMLDQoGOM0bBhw9SqVSu1adNG6enpkqQbb7xRDz74oEaNGqU+ffpoyJAhuvPOO3Xw4EH17NlTkZGRuvvuu5WZmalffvlFLVu2VPfu3RUXF2dVGwCgGDEodZKTk81tt91m8vPzzZYtW0yHDh1Mo0aNzP/+9z+TlpZm/P39TU5OjgkPD3c/Z9y4cWb16tVnjZWammp69epljDFm37595t577zW5ubmmUaNG5sSJEyYjI8OUL1/eGGPMkCFDzMqVK40xxjz00EPm888/txrPGGMWLVpkoqOjTVRUlMnJyTHGGHPFFVeYjIwMc+LECdOoUSOTm5trunbtanbs2GGMMWbQoEFmw4YNZu7cuaZnz57uZTRp0uSc783o0aMLfGz48OHmrbfeKvCxDz74wDz55JPGGGP++9//miFDhhhjjKlQoYI5fPiwMcaY3r17m9dee80YY8zixYvN2LFjjTHGzJs3z0yaNMns2rXL1KpVy7hcrkLrAwAUXwG+Dm3wjJtvvlkOh0P16tXTr7/+queee07//Oc/VbNmTd16660qU6aMypQp495NlJWVpcqVK581zpYtW7R+/XpFRUVJkvz9/XXo0CGFhoYqMDBQgYGBuu666yRJO3bsUHh4uCQpPDxcP/30k1q2bHne8SSpc+fOGjVqlOLi4lSmTBlJ0vXXX++uKTQ0VL///ru2bdumvn37SpKys7PVtm1b9/L+ijfeeEO5ubnq2bNngY9v2bJFS5cu1Zo1a2SMUWhoqCSpdu3aqlSpknu+03X8+b346KOPJEmNGjVS2bJl/1KtAADfYPdcKfXdd9/JGKPt27fr2muvVbt27ZSSkqJx48apYcOGkk79Z56SkqLc3Fx98803ql+//lnj1K1bV5GRkUpJSVFKSopWrVqlkJAQpaenKycnx73bSToVIE4fD7RhwwbdcMMNVuNJ0nPPPacRI0Zozpw5OnLkiCTpl19+UWZmplwul/bu3asqVaro73//u958802lpKRo48aNuueeeyTpjOODznUsUUE++eQTvffee4qPjy90nrp166pbt25KSUnR559/rrlz55613D/eL+y94DgmACi52NJUSgUHB6tDhw767bff9Prrr2vkyJHavHmzKleurNmzZ0uSxo4dq169emn8+PEaNGiQLrvssrPGCQsL0w033KDIyEj5+fnpjjvu0BNPPKGRI0eqefPmqlevnmrUqOEer3fv3poyZYoaNGhw1lamwsa7++67tXHjRiUlJal+/foaM2aMZs+erdDQUA0fPlxbt27VmDFj5O/vr7i4OA0aNEgnTpyQv7+/3njjjbOW0apVK/3zn//Ugw8+qI4dO571+OLFi/Xdd99Jknr27Kmnn35aFStWVJs2bXTZZZdp5cqVZz2nQ4cO+uyzz9SqVSs5HA5FR0e7t3gVpGPHjlqyZIlatmyp8uXLa/78+XI6nYXODwAo/vj2XClU0DfEitrJkydVpkwZHT58WO3atbuob5ydT9OmTQv9FhwAAN7Glia4bd++XQMHDjxj2oIFC1StWrWz5p01a5aWLFmi7OxsPfPMM395PE945513NGvWLPf9kJAQLV68+LzP+/zzz93f4Dvt008/dR9/BQC4NLGlCQAAwAJHpQIAAFggNAEAAFggNAEAAFggNAEAAFggNAEAAFgoVaccyM/P1/79+1WhQoULPis0AO8xxig7O1tVq1blLOkASoxSFZr279/vviYYgOJv7969ql69uq/LAAArpSo0VahQQdKpRhwUFOTjagAUxul0KjQ01L3OAkBJUKpC0+ldckFBQYQmFBv5+fnKycnxdRnFRtmyZd0/sxsdQElSqkITUNzk5+dr9+7dOnHihK9LKTbKlSunSpUq+boMALhghCbAg3JycnTixAldc801uuyyy3xdjs8dP35cBw4cUG5urq9LAYALRmgCvOCyyy5Txt9usJ6/2r69Z02bOHGixo8fr4CAwlfbhx56SGFhYQoPD9dtt93mnp6QkKCIiAjVrl37vMtOSUlRYmKiTp48qbi4OE2bNq3QizIDwKWE0ASUMPHx8fLz81NeXp6ioqL07rvvKiMjQ927d3fPc+WVV2r8+PF65plnNH78ePn5+engwYOqU6eOypcvr4CAAOXm5mr+/Pm64447dOTIER07dky5ubkKDw9Xp06ddPjwYW3fvl2S9N1332nNmjX67bff9Oyzz6pdu3a6/fbbVa9ePW3cuFGhoaH65ptvNG3aNI0bN05XXnmlWrRoocTERDVr1kzt27dnlxyAEo8TpAAlzJ49ezRs2DDt3btXq1ev1ogRI9SqVStJUtWqVTVy5EjVrVvXPX9eXp5q1aqlTp06qVKlSjLGKC8vzz1/dHS01qxZo0qVKik7O1uStGTJEm3fvl3h4eGSpCNHjigwMNAdom6++WaNGTNGX331lSSpZ8+eCgkJ0ffffy+Xy6WqVavql19+UYUKFRQdHU1gAlAqeDQ07dy5U3379lWXLl0kSQsXLlT//v3Vq1cvHT16VEePHlXv3r3Vv39/LViwQHl5eRoxYoRGjBihrKwsrV+/Xm+99ZYnSwRKlOnTp6tGjRqaMWOGatSooTvvvFPx8fH67LPPztpt53A4NH/+fGVlZalWrVqaP3++6tSpow8//FCrVq2SJPeJJVu3bq2MjAzVq1dPktSpUyc9+eST7jE3bdqk8uXLKz8/X5Lk7+8vh8MhY8wZ92+88UZdccUVOnLkiBo0aMCJKwGUKg5zuut5UJcuXfTuu++qa9euWrx4sZYvX67MzExJUsWKFdWhQwd1795dM2bM0IIFC1SjRg1dc801SkxMVHx8fKHjulwuuVwu9/3T537JysrilAMoFk6cOKFdu3bp+uuvV7ly5Yp8/OzsbC1cuFDbtm3TpEmTiv3f/en3IyQkRCEhIayrAEoUrx7TdPqcLDVr1lRqaqokqWHDhpJOfVK96qqrJEnbtm3Tzp07FRkZqdjYWEVERKhFixZnjRcbG6tJkyZ5qXr40r5qdmd6L+gA6tKsQoUKGjhwoK/LAIBLgk8OBN+zZ4/70gnp6em66aab3Jv9H3nkEe3YsUPLli3Thg0bNGXKFMXExBQYmmJiYjRq1Cj3/dNbmoDi5vjx474uoVjgfQBQknk0NGVkZGjcuHHatGmTYmNj1bFjRw0ePFjHjx/Xyy+/LEkaOnSoVqxYoQ4dOrifN2PGDL3wwgtKSkrSU089peuuu67A8QMDAxUYGOjJlwD8JWXLllW5cuV04MABX5dSbJQrV+6cp00AgOLKK8c0eYvT6VRwcDDHSZRCJXn3HJdROVPZsmV15MgR1lUAJQ4f9wAP8/Pz88hB4AAA7+L7wAAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYITQAAABYCvLmwPXv2aPjw4apcubLq1KmjGjVqKDk5WS6XS7NmzdLKlSu1fft2hYSEaMCAARo5cqTi4uIUGBjozTIBAADO4tUtTampqerSpYveeOMNbdq0SUuXLtWrr76qbt26acmSJfrmm280btw47dy5U4sWLdJ9991HYAIAAMWCV0NTs2bN9Prrr6t169Zq166dHA6HJKlmzZpKT09Xjx499NRTT6lZs2bavHmzUlNT9cILLygvL6/A8Vwul5xO5xk3AAAAT/BqaJo7d64mTZqkzz77TCtWrHBP37Nnj6pXr66wsDBNnjxZGzZsUK9evZSTk6NatWrp22+/LXC82NhYBQcHu2+hoaHeeikAAOAS4zDGGG8tLC0tTRMnTlSVKlVUvnx5NW7cWGvXrtXx48f18ssv64orrtDatWu1d+9ede/eXUOHDpV0KhxVrFjxrPFcLpdcLpf7vtPpVGhoqLKyshQUFOStlwUv2FfNLhBX27fXw5WgKDidTgUHB7OuAihRvBqaPI1GXHoRmkoX1lUAJRGnHAAAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALBAaAIAALAQYDPT1q1bNXv2bP3yyy/y8/NTQECA2rZtqz59+iggwGoIAACAEs0q8Xz00UeaOHGiKlWq5J62bt06rV27Vq1atfJYcQAAAMWFVWgaMWKEJOnYsWNauXKlGjdurIiICI8WBgAAUJxYHdN0+PBhSdKMGTN0/fXXKz4+3qNFAQAAFDdWW5pefPFF1atXT1WrVlViYqLKli3r6boAAACKFavQ9PTTT2v9+vVavHixhg4dqr/97W8XtbD8/Hw9+eSTcjqdatq0qcqUKaPk5GS5XC7NmjVLK1eu1Pbt2xUSEqIBAwZo5MiRiouLU2Bg4EUtDwAAoKhY7Z6bOnWqli9frttuu03Lli3Tiy++eFELW7ZsmdLT01WmTBlVr15dS5cu1auvvqpu3bppyZIl+uabbzRu3Djt3LlTixYt0n333UdgAgAAxYJVaMrKytJjjz2mtLQ0jRo1Svfee+9FLWz79u1q3ry5pk2bplmzZsnhcEiSatasqfT0dPXo0UNPPfWUmjVrps2bNys1NVUvvPCC8vLyChzP5XLJ6XSecQMAAPAEq9DUvn17vfbaa+rXr58kXfTuuerVq7tPW+Dv7++evmfPHlWvXl1hYWGaPHmyNmzYoF69eiknJ0e1atXSt99+W+B4sbGxCg4Odt9CQ0Mvqi4AAIDzcRhjzPlmWrRokbp06XLGiSx//vlnHTp0SM2aNbNe2LFjxzRs2DBdfvnlqlu3ripVqqS1a9fq+PHjevnll3XFFVdo7dq12rt3r7p3766hQ4dKOhWOKlaseNZ4LpdLLpfLfd/pdCo0NFRZWVkKCgqyrgvF375qdoG42r69Hq4ERcHpdCo4OJh1FUCJYhWaPv/8c82bN08ZGRnuM4L/4x//0IABA3TFFVd4o04rNOLSi9BUurCuAiiJrL49FxkZqcjISE/XAgAAUGxxwV4AAAALhCYAAAAL1qGpV69eWrlypSdrAQAAKLasQ9Nrr72mQ4cO6f7771d8fLyOHj3qyboAAACKFevQlJGRoZ07dyooKEjXXHON+vbt68m6AAAAihWrb89Jpy6lMmTIENWqVUuSOJEkAAC4pFhvaYqKinIHppUrV6p58+YeKwoAAKC4sQ5Na9ascf+8du1ajxQDAABQXFnvnjt06JA+/fRTORwO/frrr56sCQAAoNix3tI0ffp0/fjjj9q+fbvi4+M9WRMAAECxYx2a9uzZo6ysLB08eFAvvfSSB0sCAAAofqx3z02bNk2jRo1SmTJlPFkPAABAsWQdmho0aKAGDRp4shYAAIBiyzo0JScnKyUlRYGBgXI4HEpMTPRkXQAAAMWKdWh6++23tXXrVoWHhys9Pd2TNQEAABQ71geCP/LII0pISJAkxcbGeqoeAACAYsl6S1OFChVUsWJFSVK5cuU8VQ8AAECxZL2lqUqVKlq/fr3GjBkjPz/rpwEAAJQK1luannjiCXXq1EnGGNWrV8+TNQEAABQ71qGpR48ecjgcOnbsmCQpKSnJUzUBAAAUOxf07bnTpk2b5pFiAAAAiivr0LRlyxZJUm5urvtnAACAS4V1aFq8eLEcDocCAwM1bNgwT9YEAABQ7FiHpqZNm8rhcEiS9u3bp3379ql9+/YeKwwAAKA4sQ5Nr732miIiIiRJX3zxhTp27OipmgAAAIod69BUt25djR49WpJ06NAh9erVy2NFAQAAFDfWocnhcKhfv35yOBy6+uqrPVkTAABAsWMdmp555hmlp6erYsWKXEYFAABccqyvhzJy5EhNmjRJQUFBfHsOAABccqxDk7+/v2rWrClJCg4O9lhBAAAAxZF1aAoMDNTWrVs1c+ZMZWZmerImAACAYsfqmCZjjDp37qyMjAzl5+dr8ODBnq4LAACgWLEKTQ6HQ8nJyXrsscc8XQ8AAECxZP3tuffff1+ffvqpgoKC5HA4lJiY6Mm6AAAAihWr0PT+++9r3bp12rx5s8LCwjxdEwAAQLFjdSD4qlWrJEmzZ8/2aDEAAADFldWWpt27d+vDDz90/yvpoi/We/ToUUVGRmrixInavn27du3apZMnT2r27NmaM2eOMjIyVK9ePXXo0EGjR4/W9OnTL2o5AAAARckqNHXr1k2HDh1y/+twOC56gXFxcerWrZvy8/P17bffasGCBZo5c6bWrVun3bt3a8qUKXriiSe0e/duDR069JxjuVwuuVwu932n03nRdQEAAJyLVWjq3bt3kSzs448/1o033qgTJ04oKytLISEhkqSaNWsqPT1dbdu21YQJE3Trrbdq27ZtSkpKUvny5fXwww8XOF5sbKwmTZpUJLUBAACci/W354pCSkqKjh49qi1btsjf31+VKlWSJO3Zs0dhYWFq0aKFoqKiNGLECHXt2lUHDx7Url27dOjQIXfA+qOYmBiNGjXKfd/pdCo0NNRrrwcAAFw6vBqann32WUlSQkKCqlSpoh9//FEjRoyQy+Vyb01auHChunTpovr162v+/Pny9/dX5cqVCxwvMDBQgYGBXqsfAABcuhzGGOPrIoqK0+lUcHCwsrKyFBQU5OtyUIT2VbPbglht314PV4KiwLoKoCSyvvYcAADApYzQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYCHAmwtLSkrSihUr5HQ61bdvX6WmpmrXrl06efKkZs+erTlz5igjI0P16tVThw4dNHr0aE2fPt2bJQIAABTIq6GpY8eO6tixozIzMzVq1Cjl5ORowYIFmjlzptatW6fdu3drypQpeuKJJ7R7924NHTr0nOO5XC65XC73fafT6emXAAAALlE+2T33zDPPqF+/fgoJCZEk1axZU+np6Wrbtq0mTJigW2+9VS6XS0lJSfrPf/5T6DixsbEKDg5230JDQ731EgAAwCXGq6HJGKOxY8fqrrvuUnh4uH7//XdJ0p49e1S9enVFRUVp8uTJSk5OVkREhGrXrq3jx4/r0KFDBY4XExOjrKws923v3r3efDkAAOAS4tXdczNmzNAnn3yirKws7dixQ40bN9aIESPkcrn08MMPS5IWLlyoLl26qH79+po/f778/f1VuXLlAscLDAxUYGCgN18CAAC4RDmMMcbXRRQVp9Op4OBgZWVlKSgoyNfloAjtq2a367XaPrY2lgSsqwBKIk45AAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYIHQBAAAYCHA1wUcPXpUDz/8sMqWLauoqCh9/fXXkqTJkyfrhx9+0M8//6wHHnjAx1UCAIBLnc9D05IlS9SlSxd16NBBrVq10r333qsaNWooLS1NiYmJio+P93WJAAAAvg9N6enpatiwoSTp2muvlSRt27ZNO3fuVGRkpGJjYxUREaEWLVqc9VyXyyWXy+W+n5WVJUlyOp1eqBzelJ2fbzUfv/uS4fTvyRjj40oAwJ7PQ1P16tWVnp6um266Sfn5+XrkkUe0Y8cOLVu2TBs2bNCUKVMUExNTYGiKjY3VpEmTzpoeGhrqjdJRHAUH+7oCXIDs7GwF8zsDUEI4jI8/6h09elRDhw5VuXLlFBERoejoaI0YMUIvvPCCkpKSlJqaqmrVqmnQoEFnPffPW5ry8/N1+PBhXXnllXI4HN58GZJOfXoODQ3V3r17FRQU5PXlXwhq9YySUquv6zTGKDs7W1WrVpWfH99HAVAy+Dw0lSZOp1PBwcHKysoq1v9hStTqKSWl1pJSJwAUJ3zEAwAAsEBoAgAAsEBoKkKBgYGaMGGCAgMDfV3KeVGrZ5SUWktKnQBQnHBMEwAAgAW2NAEAAFggNAEAAFggNBWB/fv3Kzo6Wr169VJycvJZj69evVq1a9f2QWVnO1etjz76qAYOHKju3bsrOzvbRxWeOndX79691b9/fy1YsMA9PS0tTdHR0YqOjlZaWprP6jutsDqfe+45DRw4UJ07d1Z6eroPK/x/hdUqSampqbrqqqt05MgRH1UHACWEwV82efJks3nzZpOXl2d69OhxxmOZmZnm8ccfN507d/ZRdWc6V62nTZs2zaxZs8bLlf2/efPmmffff98YY0y3bt3c0/v162cyMzPN//73PzNgwABfledWWJ2nLVmyxMybN8/bZRWosFpzcnLM8OHDTa9evUx2dravygOAEsHnl1EpaVJTUxUTE3PGtJCQEIWGhhZ4ZuNnn31WMTExGjBggLdKdLvQWiXpwIED2rhxo4YPH+6NEgv0x+sR+vv7u6dnZWWpYsWKkuTTLWGnFVanJB05ckSJiYl65ZVXfFHaWQqrderUqRo+fLiefvppX5UGACUGu+cuUMOGDbV8+fIzbrVq1VJ6erry/3RR2aNHj2rHjh2aPHmyvv/+e82fP7/Y1ipJ+/bt06OPPqqXX375rBDgTaevRyjpjDpPn8Ha6XSqQoUKvirPrbA6nU6nBg8erOeff75Y1CkVXut3332nGTNm6Ouvv9acOXN8VR4AlAiccqAI7N+/X48//rgCAgLUs2dPtW7dWg888IDeeust9zxdunTRu+++68MqTzlXrU2aNFGdOnUUHByswYMHq1GjRj6p8c/XI1y1apXeeustpaWl6fnnn5ckPfbYY2rQoIFP6jtfnZ06ddLJkydVrVo1devWTa1bt/Zpneeq9bQ+ffpo5syZKl++vA+rBIDijdAEAABggd1zAAAAFghNAAAAFghNAAAAFghNAAAAFghNAAAAFghNAAAAFghNKNYSEhK0fPnyc85T0Ik6AQAoalxGBT6RkJCg5ORkXXbZZbr22mt18uRJpaWlafDgwVq5cqWOHz+uzp07a926dTp27JgkKTAwUCtWrHA/tn//fn3yySdq2rSp8vLytHv3bgUHB3NJEACAR3ByS/hEQkKCypYtq3/961+6/fbb9emnn2rKlCn68ssv1aRJE0lSQECAqlevripVquiee+5Rhw4dznqsTJkyio6O1rBhwxQeHq677rpLISEhvnxpAIBSii1N8JmgoCBJcoecsmXL6tixYxo/frwCAk79ac6bN889f35+/hmPJSQkKDg4WJIUHx+vDRs26MEHH9TChQvdYwMAUFQITShWWrZsqX79+qly5cpq2rSpGjVqpGeffVa5ubkaPnz4GY/90fPPP6/ff/9dlStX1uWXX+6j6gEApRm75wAAACzw7TkAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAALhCYAAAAL/wd7El5IsqJsUAAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 600x600 with 4 Axes>"
]
@@ -329,7 +372,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
"<Figure size 600x600 with 4 Axes>"
]
@@ -339,9 +382,9 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- "<Figure size 600x600 with 2 Axes>"
+ "<Figure size 600x600 with 6 Axes>"
]
},
"metadata": {},
@@ -365,7 +408,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 31,
"id": "1bdb7bef",
"metadata": {
"scrolled": true
@@ -397,7 +440,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 32,
"id": "e1f01dcc",
"metadata": {
"scrolled": false
@@ -407,63 +450,149 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "2023-12-08 18:02:28,931 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
- "2023-12-08 18:02:28,942 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
- "2023-12-08 18:02:28,943 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:84} Opening Bokeh application on http://localhost:5006/\n",
- "2023-12-08 18:02:28,943 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:85} Async rendering is set to: True\n",
- "2023-12-08 18:02:28,943 INFO {/opt/conda/lib/python3.9/site-packages/bokeh/server/server.py:403} Starting Bokeh server version 2.4.3 (running on Tornado 6.2)\n",
- "2023-12-08 18:02:28,944 WARNING {/opt/conda/lib/python3.9/site-packages/bokeh/server/util.py:145} Host wildcard '*' will allow connections originating from multiple (or possibly all) hostnames or IPs. Use non-wildcard values to restrict access explicitly\n",
- "2023-12-08 18:02:28,944 INFO {/opt/conda/lib/python3.9/site-packages/bokeh/server/tornado.py:360} User authentication hooks NOT provided (default user enabled)\n",
- "2023-12-08 18:02:56,344 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
- "2023-12-08 18:02:56,350 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0006 seconds.\n",
- "2023-12-08 18:02:56,462 INFO {/opt/conda/lib/python3.9/site-packages/tornado/web.py:2271} 200 GET / (10.40.111.169) 191.28ms\n"
+ "2023-12-08 20:23:16,606 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
+ "2023-12-08 20:23:16,606 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:18} Building AbstractScenarioBuilder...\n",
+ "2023-12-08 20:23:16,616 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
+ "2023-12-08 20:23:16,616 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/script/builders/scenario_building_builder.py:21} Building AbstractScenarioBuilder...DONE!\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:84} Opening Bokeh application on http://localhost:5006/\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:84} Opening Bokeh application on http://localhost:5006/\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:85} Async rendering is set to: True\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:85} Async rendering is set to: True\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/server.py:403} Starting Bokeh server version 2.4.3 (running on Tornado 6.3.3)\n",
+ "2023-12-08 20:23:16,617 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/server.py:403} Starting Bokeh server version 2.4.3 (running on Tornado 6.3.3)\n",
+ "2023-12-08 20:23:16,618 WARNING {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/util.py:145} Host wildcard '*' will allow connections originating from multiple (or possibly all) hostnames or IPs. Use non-wildcard values to restrict access explicitly\n",
+ "2023-12-08 20:23:16,618 WARNING {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/util.py:145} Host wildcard '*' will allow connections originating from multiple (or possibly all) hostnames or IPs. Use non-wildcard values to restrict access explicitly\n",
+ "2023-12-08 20:23:16,618 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/tornado.py:360} User authentication hooks NOT provided (default user enabled)\n",
+ "2023-12-08 20:23:16,618 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/tornado.py:360} User authentication hooks NOT provided (default user enabled)\n",
+ "2023-12-08 20:23:17,296 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
+ "2023-12-08 20:23:17,296 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
+ "2023-12-08 20:23:17,300 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0005 seconds.\n",
+ "2023-12-08 20:23:17,300 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0005 seconds.\n",
+ "2023-12-08 20:23:17,415 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET / (127.0.0.1) 180.53ms\n",
+ "2023-12-08 20:23:17,415 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET / (127.0.0.1) 180.53ms\n",
+ "2023-12-08 20:23:17,487 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/spectre.min.css (127.0.0.1) 2.75ms\n",
+ "2023-12-08 20:23:17,487 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/spectre.min.css (127.0.0.1) 2.75ms\n"
]
},
{
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- "INFO:tornado.access:200 GET / (10.40.111.169) 191.28ms\n"
+ "INFO:tornado.access:200 GET / (127.0.0.1) 180.53ms\n",
+ "INFO:tornado.access:200 GET /resource/spectre.min.css (127.0.0.1) 2.75ms\n",
+ "INFO:tornado.access:200 GET /resource/spectre-icons.min.css (127.0.0.1) 0.27ms\n",
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+ "INFO:tornado.access:200 GET /resource/style.css (127.0.0.1) 0.28ms\n",
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},
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- "2023-12-08 18:02:56,716 INFO {/opt/conda/lib/python3.9/site-packages/tornado/web.py:2271} 101 GET /ws (10.40.111.169) 2.06ms\n",
- "2023-12-08 18:02:56,718 INFO {/opt/conda/lib/python3.9/site-packages/bokeh/server/views/ws.py:132} WebSocket connection opened\n",
- "2023-12-08 18:02:56,719 INFO {/opt/conda/lib/python3.9/site-packages/bokeh/server/views/ws.py:213} ServerConnection created\n",
- "2023-12-08 18:02:56,883 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
- "2023-12-08 18:02:56,889 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0007 seconds.\n"
+ "2023-12-08 20:23:17,503 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/spectre-icons.min.css (127.0.0.1) 0.27ms\n",
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+ "2023-12-08 20:23:17,516 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/style.css (127.0.0.1) 0.28ms\n",
+ "2023-12-08 20:23:17,516 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/style.css (127.0.0.1) 0.28ms\n",
+ "2023-12-08 20:23:17,571 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/overview.css (127.0.0.1) 0.48ms\n",
+ "2023-12-08 20:23:17,571 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/overview.css (127.0.0.1) 0.48ms\n",
+ "2023-12-08 20:23:17,572 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/cloud.css (127.0.0.1) 0.44ms\n",
+ "2023-12-08 20:23:17,572 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/cloud.css (127.0.0.1) 0.44ms\n",
+ "2023-12-08 20:23:17,605 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/histogram.css (127.0.0.1) 0.36ms\n",
+ "2023-12-08 20:23:17,605 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/histogram.css (127.0.0.1) 0.36ms\n",
+ "2023-12-08 20:23:17,606 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/scenario.css (127.0.0.1) 0.26ms\n",
+ "2023-12-08 20:23:17,606 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/css/scenario.css (127.0.0.1) 0.26ms\n",
+ "2023-12-08 20:23:17,616 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh.min.js?v=3c61e952b808bb7e346ce828a565a5f23aaf7708d034fa9d0906403813355d45bb4e8d8b0b23a93f032c76831d4f0221846f28699c7f5147caa62e0d31668314 (127.0.0.1) 1.14ms\n",
+ "2023-12-08 20:23:17,616 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh.min.js?v=3c61e952b808bb7e346ce828a565a5f23aaf7708d034fa9d0906403813355d45bb4e8d8b0b23a93f032c76831d4f0221846f28699c7f5147caa62e0d31668314 (127.0.0.1) 1.14ms\n",
+ "2023-12-08 20:23:17,626 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-gl.min.js?v=e5df31fd9010eacff0aa72d315264604b5e34972ba445acea6fce98080eecf33acf2d2986126360faaa5852813cffa16f6f6f4889923318300f062497c02da4e (127.0.0.1) 0.39ms\n",
+ "2023-12-08 20:23:17,626 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-gl.min.js?v=e5df31fd9010eacff0aa72d315264604b5e34972ba445acea6fce98080eecf33acf2d2986126360faaa5852813cffa16f6f6f4889923318300f062497c02da4e (127.0.0.1) 0.39ms\n"
]
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+ "INFO:tornado.access:200 GET /static/js/bokeh.min.js?v=3c61e952b808bb7e346ce828a565a5f23aaf7708d034fa9d0906403813355d45bb4e8d8b0b23a93f032c76831d4f0221846f28699c7f5147caa62e0d31668314 (127.0.0.1) 1.14ms\n",
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- "2023-12-08 18:02:56,995 INFO {/opt/conda/lib/python3.9/site-packages/tornado/web.py:2271} 200 GET / (10.40.111.169) 192.53ms\n"
+ "2023-12-08 20:23:17,748 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-widgets.min.js?v=8a1ff6f5aa0d967f4998d275803bbb111d928fd9f605ef9e1f30cfd021df0e77224ee3d13f83edb3a942f6e4ccc569ee5dd8951a8aa6cb600602463b90c65a87 (127.0.0.1) 0.46ms\n",
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+ "2023-12-08 20:23:17,784 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-tables.min.js?v=ae2903e57cf57f52819fdf4d938c648982b51c34f73b6e653a0f3bb3c8ab44f338505931ace43eafc1636e215492e2314acf54c54baffb47813b86b4923a7fe0 (127.0.0.1) 0.68ms\n",
+ "2023-12-08 20:23:17,884 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/scripts/utils.js (127.0.0.1) 0.72ms\n",
+ "2023-12-08 20:23:17,884 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/scripts/utils.js (127.0.0.1) 0.72ms\n",
+ "2023-12-08 20:23:17,886 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-mathjax.min.js?v=176c36fdbcd8fc1019fc828101a2804081a35baf4018d7f2633cd263156b593aa73112f400112b662daa0590138b74851bc91f1f2a5fbf5416ee8c876c3e0d0c (127.0.0.1) 2.06ms\n",
+ "2023-12-08 20:23:17,886 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /static/js/bokeh-mathjax.min.js?v=176c36fdbcd8fc1019fc828101a2804081a35baf4018d7f2633cd263156b593aa73112f400112b662daa0590138b74851bc91f1f2a5fbf5416ee8c876c3e0d0c (127.0.0.1) 2.06ms\n",
+ "2023-12-08 20:23:17,886 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/motional_logo.png (127.0.0.1) 2.27ms\n",
+ "2023-12-08 20:23:17,886 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET /resource/motional_logo.png (127.0.0.1) 2.27ms\n"
]
},
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"name": "stderr",
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- "INFO:tornado.access:200 GET / (10.40.111.169) 192.53ms\n",
- "Rendering a scenario: 100%|██████████| 1/1 [00:00<00:00, 134.60it/s]\n"
+ "INFO:tornado.access:200 GET /resource/scripts/utils.js (127.0.0.1) 0.72ms\n",
+ "INFO:tornado.access:200 GET /static/js/bokeh-mathjax.min.js?v=176c36fdbcd8fc1019fc828101a2804081a35baf4018d7f2633cd263156b593aa73112f400112b662daa0590138b74851bc91f1f2a5fbf5416ee8c876c3e0d0c (127.0.0.1) 2.06ms\n",
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]
},
{
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"text": [
- "2023-12-08 18:17:56,830 INFO {/home/ehdykhne/Repos/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 2.8545 seconds.\n"
+ "2023-12-08 20:23:18,678 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
+ "2023-12-08 20:23:18,678 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/base/simulation_tile.py:172} Minimum frame time=0.017 s\n",
+ "2023-12-08 20:23:18,683 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0005 seconds.\n",
+ "2023-12-08 20:23:18,683 INFO {/home/ehdykhne/nuplan-devkit/nuplan/planning/nuboard/tabs/scenario_tab.py:485} Rending scenario plot takes 0.0005 seconds.\n",
+ "2023-12-08 20:23:18,774 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET / (127.0.0.1) 153.62ms\n",
+ "2023-12-08 20:23:18,774 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 200 GET / (127.0.0.1) 153.62ms\n",
+ "2023-12-08 20:23:18,783 WARNING {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 404 GET /favicon.ico (127.0.0.1) 0.25ms\n",
+ "2023-12-08 20:23:18,783 WARNING {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 404 GET /favicon.ico (127.0.0.1) 0.25ms\n",
+ "2023-12-08 20:23:18,835 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 101 GET /ws (127.0.0.1) 0.31ms\n",
+ "2023-12-08 20:23:18,835 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/web.py:2344} 101 GET /ws (127.0.0.1) 0.31ms\n",
+ "2023-12-08 20:23:18,835 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/views/ws.py:132} WebSocket connection opened\n",
+ "2023-12-08 20:23:18,835 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/views/ws.py:132} WebSocket connection opened\n",
+ "2023-12-08 20:23:18,836 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/views/ws.py:213} ServerConnection created\n",
+ "2023-12-08 20:23:18,836 INFO {/home/ehdykhne/miniconda3/envs/nuplan/lib/python3.9/site-packages/bokeh/server/views/ws.py:213} ServerConnection created\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO:tornado.access:200 GET / (127.0.0.1) 153.62ms\n",
+ "WARNING:tornado.access:404 GET /favicon.ico (127.0.0.1) 0.25ms\n",
+ "INFO:tornado.access:101 GET /ws (127.0.0.1) 0.31ms\n"
+ ]
+ },
+ {
+ "ename": "KeyboardInterrupt",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m/home/ehdykhne/nuplan-devkit/experiments/bulk_running_experiments.ipynb Cell 11\u001b[0m line \u001b[0;36m4\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2Bwisedave.eng.uwaterloo.ca/home/ehdykhne/nuplan-devkit/experiments/bulk_running_experiments.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mnuplan\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mplanning\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mscript\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mrun_nuboard\u001b[39;00m \u001b[39mimport\u001b[39;00m main \u001b[39mas\u001b[39;00m main_nuboard\n\u001b[1;32m <a href='vscode-notebook-cell://ssh-remote%2Bwisedave.eng.uwaterloo.ca/home/ehdykhne/nuplan-devkit/experiments/bulk_running_experiments.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39m# Run nuBoard\u001b[39;00m\n\u001b[0;32m----> <a href='vscode-notebook-cell://ssh-remote%2Bwisedave.eng.uwaterloo.ca/home/ehdykhne/nuplan-devkit/experiments/bulk_running_experiments.ipynb#X13sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3'>4</a>\u001b[0m main_nuboard(cfg)\n",
+ "File \u001b[0;32m~/miniconda3/envs/nuplan/lib/python3.9/site-packages/hydra/main.py:44\u001b[0m, in \u001b[0;36mmain.<locals>.main_decorator.<locals>.decorated_main\u001b[0;34m(cfg_passthrough)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[39m@functools\u001b[39m\u001b[39m.\u001b[39mwraps(task_function)\n\u001b[1;32m 42\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdecorated_main\u001b[39m(cfg_passthrough: Optional[DictConfig] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Any:\n\u001b[1;32m 43\u001b[0m \u001b[39mif\u001b[39;00m cfg_passthrough \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m---> 44\u001b[0m \u001b[39mreturn\u001b[39;00m task_function(cfg_passthrough)\n\u001b[1;32m 45\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 46\u001b[0m args \u001b[39m=\u001b[39m get_args_parser()\n",
+ "File \u001b[0;32m~/nuplan-devkit/nuplan/planning/script/run_nuboard.py:74\u001b[0m, in \u001b[0;36mmain\u001b[0;34m(cfg)\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 70\u001b[0m \u001b[39mExecute all available challenges simultaneously on the same scenario.\u001b[39;00m\n\u001b[1;32m 71\u001b[0m \u001b[39m:param cfg: DictConfig. Configuration that is used to run the experiment.\u001b[39;00m\n\u001b[1;32m 72\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 73\u001b[0m nuboard \u001b[39m=\u001b[39m initialize_nuboard(cfg)\n\u001b[0;32m---> 74\u001b[0m nuboard\u001b[39m.\u001b[39;49mrun()\n",
+ "File \u001b[0;32m~/nuplan-devkit/nuplan/planning/nuboard/nuboard.py:112\u001b[0m, in \u001b[0;36mNuBoard.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 110\u001b[0m \u001b[39m# Catch RuntimeError in jupyter notebook\u001b[39;00m\n\u001b[1;32m 111\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 112\u001b[0m io_loop\u001b[39m.\u001b[39;49mstart()\n\u001b[1;32m 113\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m 114\u001b[0m logger\u001b[39m.\u001b[39mwarning(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00me\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
+ "File \u001b[0;32m~/miniconda3/envs/nuplan/lib/python3.9/site-packages/tornado/platform/asyncio.py:195\u001b[0m, in \u001b[0;36mBaseAsyncIOLoop.start\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mstart\u001b[39m(\u001b[39mself\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 195\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49masyncio_loop\u001b[39m.\u001b[39;49mrun_forever()\n",
+ "File \u001b[0;32m~/miniconda3/envs/nuplan/lib/python3.9/site-packages/nest_asyncio.py:82\u001b[0m, in \u001b[0;36m_patch_loop.<locals>.run_forever\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[39mwith\u001b[39;00m manage_run(\u001b[39mself\u001b[39m), manage_asyncgens(\u001b[39mself\u001b[39m):\n\u001b[1;32m 81\u001b[0m \u001b[39mwhile\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[0;32m---> 82\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_run_once()\n\u001b[1;32m 83\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_stopping:\n\u001b[1;32m 84\u001b[0m \u001b[39mbreak\u001b[39;00m\n",
+ "File \u001b[0;32m~/miniconda3/envs/nuplan/lib/python3.9/site-packages/nest_asyncio.py:116\u001b[0m, in \u001b[0;36m_patch_loop.<locals>._run_once\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 109\u001b[0m heappop(scheduled)\n\u001b[1;32m 111\u001b[0m timeout \u001b[39m=\u001b[39m (\n\u001b[1;32m 112\u001b[0m \u001b[39m0\u001b[39m \u001b[39mif\u001b[39;00m ready \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_stopping\n\u001b[1;32m 113\u001b[0m \u001b[39melse\u001b[39;00m \u001b[39mmin\u001b[39m(\u001b[39mmax\u001b[39m(\n\u001b[1;32m 114\u001b[0m scheduled[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39m_when \u001b[39m-\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtime(), \u001b[39m0\u001b[39m), \u001b[39m86400\u001b[39m) \u001b[39mif\u001b[39;00m scheduled\n\u001b[1;32m 115\u001b[0m \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m)\n\u001b[0;32m--> 116\u001b[0m event_list \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_selector\u001b[39m.\u001b[39;49mselect(timeout)\n\u001b[1;32m 117\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_process_events(event_list)\n\u001b[1;32m 119\u001b[0m end_time \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtime() \u001b[39m+\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clock_resolution\n",
+ "File \u001b[0;32m~/miniconda3/envs/nuplan/lib/python3.9/selectors.py:469\u001b[0m, in \u001b[0;36mEpollSelector.select\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 467\u001b[0m ready \u001b[39m=\u001b[39m []\n\u001b[1;32m 468\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 469\u001b[0m fd_event_list \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_selector\u001b[39m.\u001b[39;49mpoll(timeout, max_ev)\n\u001b[1;32m 470\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mInterruptedError\u001b[39;00m:\n\u001b[1;32m 471\u001b[0m \u001b[39mreturn\u001b[39;00m ready\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
@@ -511,7 +640,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.16"
+ "version": "3.9.18"
}
},
"nbformat": 4,
diff --git a/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_nonreactive_agents_weighted_average.yaml b/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_nonreactive_agents_weighted_average.yaml
index 61cc93995028c4237150541e62d56b5daf855ba2..2f0f1d2ab701660fe50f45e58c4fc5cad98c1b4f 100644
--- a/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_nonreactive_agents_weighted_average.yaml
+++ b/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_nonreactive_agents_weighted_average.yaml
@@ -4,6 +4,7 @@ closed_loop_nonreactive_agents_weighted_average:
metric_weights: # Below we list the metrics used in the scenario scoring function and their corresponsing weights to calculate a weighted average score for each scenario,
# if not specified, the weight is set as default.
# metric name : metric weight in the weighted average function
+ is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
ego_progress_along_expert_route: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can take a value in [0,1] depending on the ratio of ego to expert progress
time_to_collision_within_bound: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can be 0 or 1 depending on the minimum time to collision threshold
speed_limit_compliance: 4.0 # This metric has a weight equal to 4.0 in the weighted average function, its base score can take a value in [0,1] depending on the amount and duration of over-speeding
diff --git a/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_reactive_agents_weighted_average.yaml b/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_reactive_agents_weighted_average.yaml
index 2e244b99b0f0555b374e10ff17bd19901f59bdb7..4db298e5a9d4c5c46d6216e44caa852381d07a86 100644
--- a/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_reactive_agents_weighted_average.yaml
+++ b/nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_reactive_agents_weighted_average.yaml
@@ -4,6 +4,7 @@ closed_loop_reactive_agents_weighted_average:
metric_weights: # Below we list the metrics used in the scenario scoring function and their corresponsing weights to calculate a weighted average score for each scenario,
# if not specified, the weight is set as default.
# metric name : metric weight in the weighted average function
+ is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
ego_progress_along_expert_route: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can take a value in [0,1] depending on the ratio of ego to expert progress
time_to_collision_within_bound: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can be 0 or 1 depending on the minimum time to collision threshold
speed_limit_compliance: 4.0 # This metric has a weight equal to 4.0 in the weighted average function, its base score can take a value in [0,1] depending on the amount and duration of over-speeding
diff --git a/nuplan/planning/script/config/simulation/metric_aggregator/open_loop_boxes_weighted_average.yaml b/nuplan/planning/script/config/simulation/metric_aggregator/open_loop_boxes_weighted_average.yaml
index 3c648f54df1aaf2d4bf2359c21ea9387b3b3ff11..8e21cc6d3c14cc3fe4fd1204ed17cc3ba64e9be8 100644
--- a/nuplan/planning/script/config/simulation/metric_aggregator/open_loop_boxes_weighted_average.yaml
+++ b/nuplan/planning/script/config/simulation/metric_aggregator/open_loop_boxes_weighted_average.yaml
@@ -4,6 +4,7 @@ open_loop_boxes_weighted_average:
metric_weights: # Below we list the metrics used in the scenario scoring function and their corresponsing weights to calculate a weighted average score for each scenario,
# if not specified, the weight is set as default.
# metric name : metric weight in the weighted average function
+ is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
planner_expert_average_l2_error_within_bound: 1 # Default is also 1, keeping here for easier understanding of the structure
planner_expert_average_heading_error_within_bound: 2
planner_expert_final_l2_error_within_bound: 1 # Default is also 1, keeping here for easier understanding of the structure