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dnerini/pysteps_ray.ipynb

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Tune pysteps with Ray
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pysteps_ray.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyMet6ZvQDtnGIEcA+2bB+m4",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/dnerini/2f2348d94ad7ce5833177b5f1732dc5b/pysteps_ray.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"source": [
"!pip install pysteps \"ray[tune]\" --quiet"
],
"metadata": {
"id": "_Fedw0oq1Cf5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Import the helper functions\n",
"from pysteps.datasets import download_pysteps_data, create_default_pystepsrc\n",
"\n",
"# Download the pysteps data in the \"pysteps_data\"\n",
"download_pysteps_data(\"pysteps_data\")\n",
"\n",
"# If the configuration file is placed in one of the default locations \n",
"# (https://pysteps.readthedocs.io/en/latest/user_guide/set_pystepsrc.html#configuration-file-lookup) \n",
"# it will be loaded automatically when pysteps is imported. \n",
"config_file_path = create_default_pystepsrc(\"pysteps_data\")\n",
"\n",
"import pysteps\n",
"_ = pysteps.load_config_file(config_file_path, verbose=True)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hfKzcds81VIw",
"outputId": "29923057-d0c1-4793-adec-64f310469063"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Pysteps configuration file found at: /root/.pysteps/pystepsrc\n",
"\n",
"Downloading pysteps-data from github.\n",
"Progress: (267.9 Mb) - Time left: unknown\n",
"Download complete\n",
"\n",
"Pysteps configuration file found at: /root/.pysteps/pystepsrc\n",
"\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"from pysteps import datasets\n",
"datasets.info()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "j7Wfg8Kg1UXN",
"outputId": "cbb2a086-6fd2-4e7d-9c7e-9c0ba012a8bb"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Available datasets:\n",
"\n",
"Case Event date Source \n",
"\n",
"fmi 2016-09-28 14:45 UTC Finish Meteorological Institute \n",
"fmi2 2017-05-09 10:45 UTC Finish Meteorological Institute \n",
"mch 2015-05-15 15:45 UTC MeteoSwiss \n",
"mch2 2016-07-11 20:45 UTC MeteoSwiss \n",
"mch3 2017-01-31 09:45 UTC MeteoSwiss \n",
"opera 2018-08-24 18:00 UTC OPERA \n",
"knmi 2010-08-26 00:00 UTC Royal Netherlands Meteorological Institute \n",
"bom 2018-06-16 10:00 UTC Australian Bureau of Meteorology \n",
"mrms 2019-06-10 00:00 UTC NSSL's Multi-Radar/Multi-Sensor System \n"
]
}
]
},
{
"cell_type": "code",
"source": [
"def accum_over_basin(input_fields):\n",
" return input_fields[: , 300:340, 350:370].sum()\n",
"\n",
"\n",
"def evaluation_fn(fct, obs):\n",
" fct_accu = accum_over_basin(fct)\n",
" obs_accu = accum_over_basin(obs)\n",
" return (fct_accu - obs_accu) ** 2\n",
"\n",
"\n",
"def get_data(dataset, nframes):\n",
" data, metadata, __ = datasets.load_dataset(dataset, frames=nframes)\n",
" return data, metadata\n",
"\n",
"\n",
"def extract_params(config_dict):\n",
" params = {}\n",
" for key, value in config_dict.items():\n",
" key_split = key.split(\":\")\n",
" if len(key_split) == 1:\n",
" params = {**params, key: value}\n",
" elif len(key_split) == 2:\n",
" params[key_split[0]] = {**params.get(key_split[0], {}), key_split[1]: value}\n",
" return params"
],
"metadata": {
"id": "9UxiLM5E2lro"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"from pysteps import motion, nowcasts\n",
"from pysteps.utils import transformation\n",
"\n",
"\n",
"DATASET = \"mch3\"\n",
"N_LEADTIMES = 12\n",
"N_FRAMES = 24\n",
"N_TRAIN_FRAMES = 3\n",
"RUN_EVERY_N_STEPS = 3\n",
"\n",
"\n",
"def pysteps_objective(config):\n",
"\n",
" extrapolate = nowcasts.get_method(\"extrapolation\")\n",
" oflow_method = motion.get_method(\"LK\")\n",
"\n",
" # Hyperparameters\n",
" oflow_params = extract_params(config)\n",
"\n",
" # Get data\n",
" precipitation, metadata = get_data(DATASET, N_FRAMES)\n",
"\n",
" # Log-transform the data to dBR. \n",
" # The threshold of 0.1 mm/h sets the fill value to -15 dBR.\n",
" precipitation_dbr, metadata_dbr = transformation.dB_transform(\n",
" precipitation, metadata, threshold=0.1, zerovalue=-15.0\n",
" )\n",
" \n",
" score = 0\n",
" for n, init_time in enumerate(range(N_TRAIN_FRAMES, N_FRAMES - N_LEADTIMES, RUN_EVERY_N_STEPS)):\n",
" \n",
" train_precip = precipitation[(init_time - N_TRAIN_FRAMES):init_time]\n",
" train_precip_dbr = precipitation_dbr[(init_time - N_TRAIN_FRAMES):init_time]\n",
" obs_precip = precipitation[init_time:(init_time + N_LEADTIMES)]\n",
"\n",
" motion_field = oflow_method(train_precip_dbr, **oflow_params)\n",
" forecast_precip = extrapolate(train_precip[-1], motion_field, N_LEADTIMES)\n",
"\n",
" score += evaluation_fn(forecast_precip, obs_precip)\n",
"\n",
" return {\"mean_loss\": score / n}"
],
"metadata": {
"id": "Pq_M1wY-5EQs"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import ray\n",
"from ray import tune\n",
"\n",
"N_SAMPLES = 100\n",
"\n",
"ray.shutdown()\n",
"ray.init(configure_logging=False)\n",
"\n",
"tuner = tune.Tuner(\n",
" pysteps_objective,\n",
" tune_config=tune.TuneConfig(\n",
" metric=\"mean_loss\",\n",
" mode=\"min\",\n",
" num_samples=N_SAMPLES,\n",
" ),\n",
" param_space={\n",
" \"decl_scale\": tune.qrandint(0, 40, 5),\n",
" \"size_opening\": tune.qrandint(0, 12, 3),\n",
" \"fd_method\": tune.choice([\"shitomasi\", \"blob\"]),\n",
" \"interp_kwargs:power\": tune.uniform(0.1, 1.5),\n",
" \"interp_kwargs:k\": tune.qrandint(10, 50, 5),\n",
" \"lk_kwargs:nr_levels\": tune.qrandint(1, 12, 3),\n",
" },\n",
")\n",
"\n",
"results = tuner.fit()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "92T5lRBX73Cj",
"outputId": "e1d14a1a-6b15-4de4-973e-b9f4e6c55da1"
},
"execution_count": null,
"outputs": [
{
"data": {
"text/html": [
"<div class=\"tuneStatus\">\n",
" <div style=\"display: flex;flex-direction: row\">\n",
" <div style=\"display: flex;flex-direction: column;\">\n",
" <h3>Tune Status</h3>\n",
" <table>\n",
"<tbody>\n",
"<tr><td>Current time:</td><td>2023-03-14 10:31:38</td></tr>\n",
"<tr><td>Running for: </td><td>00:23:38.16 </td></tr>\n",
"<tr><td>Memory: </td><td>4.3/12.7 GiB </td></tr>\n",
"</tbody>\n",
"</table>\n",
" </div>\n",
" <div class=\"vDivider\"></div>\n",
" <div class=\"systemInfo\">\n",
" <h3>System Info</h3>\n",
" Using FIFO scheduling algorithm.<br>Resources requested: 2.0/2 CPUs, 0/0 GPUs, 0.0/7.36 GiB heap, 0.0/3.68 GiB objects\n",
" </div>\n",
" <div class=\"vDivider\"></div>\n",
"<div class=\"messages\">\n",
" <h3>Messages</h3>\n",
" \n",
" ... 62 more trials not shown (7 PENDING, 55 TERMINATED)\n",
" \n",
"</div>\n",
"<style>\n",
".messages {\n",
" color: var(--jp-ui-font-color1);\n",
" display: flex;\n",
" flex-direction: column;\n",
" padding-left: 1em;\n",
" overflow-y: auto;\n",
"}\n",
".messages h3 {\n",
" font-weight: bold;\n",
"}\n",
".vDivider {\n",
" border-left-width: var(--jp-border-width);\n",
" border-left-color: var(--jp-border-color0);\n",
" border-left-style: solid;\n",
" margin: 0.5em 1em 0.5em 1em;\n",
"}\n",
"</style>\n",
"\n",
" </div>\n",
" <div class=\"hDivider\"></div>\n",
" <div class=\"trialStatus\">\n",
" <h3>Trial Status</h3>\n",
" <table>\n",
"<thead>\n",
"<tr><th>Trial name </th><th>status </th><th>loc </th><th style=\"text-align: right;\"> decl_scale</th><th>fd_method </th><th style=\"text-align: right;\"> interp_kwargs:k</th><th style=\"text-align: right;\"> interp_kwargs:power</th><th style=\"text-align: right;\"> lk_kwargs:nr_levels</th><th style=\"text-align: right;\"> size_opening</th><th style=\"text-align: right;\"> loss</th><th style=\"text-align: right;\"> iter</th><th style=\"text-align: right;\"> total time (s)</th><th style=\"text-align: right;\"> neg_mean_loss</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>pysteps_objective_1738d_00064</td><td>RUNNING </td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 0.855545</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00065</td><td>RUNNING </td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 0.237825</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00066</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 30</td><td>blob </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 1.17587 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00067</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 0.328394</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00068</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 1.13349 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00069</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 25</td><td>shitomasi </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.96945 </td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00070</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 15</td><td>blob </td><td style=\"text-align: right;\"> 40</td><td style=\"text-align: right;\"> 0.78355 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00071</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 20</td><td>shitomasi </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.111431</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00072</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 0.299221</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00073</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 30</td><td>blob </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.672727</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00074</td><td>PENDING </td><td> </td><td style=\"text-align: right;\"> 30</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.678582</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td><td style=\"text-align: right;\"> </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00000</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 25</td><td>shitomasi </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.776173</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">189943 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51.0524</td><td style=\"text-align: right;\"> -189943 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00001</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 25</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 1.36587 </td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">103928 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 60.5573</td><td style=\"text-align: right;\"> -103928 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00002</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 30</td><td>shitomasi </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 1.08997 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">237690 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> -237690 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00003</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.804898</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">263001 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> -263001 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00004</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 20</td><td>blob </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 1.2495 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">113967 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> -113967 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00005</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.241948</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">124263 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> -124263 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00006</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 0.458854</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 51553.4</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> -51553.4</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00007</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.169007</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">113740 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> -113740 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00008</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 20</td><td>shitomasi </td><td style=\"text-align: right;\"> 40</td><td style=\"text-align: right;\"> 1.29848 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">163327 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> -163327 </td></tr>\n",
"</tbody>\n",
"</table>\n",
" </div>\n",
"</div>\n",
"<style>\n",
".tuneStatus {\n",
" color: var(--jp-ui-font-color1);\n",
"}\n",
".tuneStatus .systemInfo {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
".tuneStatus td {\n",
" white-space: nowrap;\n",
"}\n",
".tuneStatus .trialStatus {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
".tuneStatus h3 {\n",
" font-weight: bold;\n",
"}\n",
".tuneStatus .hDivider {\n",
" border-bottom-width: var(--jp-border-width);\n",
" border-bottom-color: var(--jp-border-color0);\n",
" border-bottom-style: solid;\n",
"}\n",
".tuneStatus .vDivider {\n",
" border-left-width: var(--jp-border-width);\n",
" border-left-color: var(--jp-border-color0);\n",
" border-left-style: solid;\n",
" margin: 0.5em 1em 0.5em 1em;\n",
"}\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"metadata": {
"tags": null
},
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[2m\u001b[36m(pid=31836)\u001b[0m Pysteps configuration file found at: /root/.pysteps/pystepsrc\n",
"\u001b[2m\u001b[36m(pid=31836)\u001b[0m \n",
"\u001b[2m\u001b[36m(pid=31937)\u001b[0m Pysteps configuration file found at: /root/.pysteps/pystepsrc\n",
"\u001b[2m\u001b[36m(pid=31937)\u001b[0m \n"
]
},
{
"data": {
"text/html": [
"<div class=\"trialProgress\">\n",
" <h3>Trial Progress</h3>\n",
" <table>\n",
"<thead>\n",
"<tr><th>Trial name </th><th>date </th><th>done </th><th>episodes_total </th><th>experiment_id </th><th>experiment_tag </th><th>hostname </th><th style=\"text-align: right;\"> iterations_since_restore</th><th style=\"text-align: right;\"> mean_loss</th><th style=\"text-align: right;\"> neg_mean_loss</th><th>node_ip </th><th style=\"text-align: right;\"> pid</th><th style=\"text-align: right;\"> time_since_restore</th><th style=\"text-align: right;\"> time_this_iter_s</th><th style=\"text-align: right;\"> time_total_s</th><th style=\"text-align: right;\"> timestamp</th><th style=\"text-align: right;\"> timesteps_since_restore</th><th>timesteps_total </th><th style=\"text-align: right;\"> training_iteration</th><th>trial_id </th><th style=\"text-align: right;\"> warmup_time</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>pysteps_objective_1738d_00000</td><td>2023-03-14_10-09-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>0_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=0.7762,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 189943 </td><td style=\"text-align: right;\"> -189943 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 51.0524</td><td style=\"text-align: right;\"> 51.0524</td><td style=\"text-align: right;\"> 51.0524</td><td style=\"text-align: right;\"> 1678788547</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00000</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00001</td><td>2023-03-14_10-09-23</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>1_decl_scale=25,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=1.3659,lk_kwargs_nr_levels=3,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 103928 </td><td style=\"text-align: right;\"> -103928 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 60.5573</td><td style=\"text-align: right;\"> 60.5573</td><td style=\"text-align: right;\"> 60.5573</td><td style=\"text-align: right;\"> 1678788563</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00001</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00002</td><td>2023-03-14_10-09-35</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>2_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=1.0900,lk_kwargs_nr_levels=12,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 237690 </td><td style=\"text-align: right;\"> -237690 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 1678788575</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00002</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00003</td><td>2023-03-14_10-10-08</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>3_decl_scale=35,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.8049,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 263001 </td><td style=\"text-align: right;\"> -263001 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 1678788608</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00003</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00004</td><td>2023-03-14_10-10-25</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>4_decl_scale=20,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=1.2495,lk_kwargs_nr_levels=12,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 113967 </td><td style=\"text-align: right;\"> -113967 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 1678788625</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00004</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00005</td><td>2023-03-14_10-10-55</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>5_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.2419,lk_kwargs_nr_levels=12,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 124263 </td><td style=\"text-align: right;\"> -124263 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 1678788655</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00005</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00006</td><td>2023-03-14_10-11-17</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>6_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=0.4589,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51553.4</td><td style=\"text-align: right;\"> -51553.4</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 1678788677</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00006</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00007</td><td>2023-03-14_10-11-40</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>7_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.1690,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 113740 </td><td style=\"text-align: right;\"> -113740 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 1678788700</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00007</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00008</td><td>2023-03-14_10-11-53</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>8_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.2985,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 163327 </td><td style=\"text-align: right;\"> -163327 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 1678788713</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00008</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00009</td><td>2023-03-14_10-12-44</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>9_decl_scale=25,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.3507,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 360706 </td><td style=\"text-align: right;\"> -360706 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 1678788764</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00009</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00010</td><td>2023-03-14_10-12-31</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>10_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.1119,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 131101 </td><td style=\"text-align: right;\"> -131101 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 1678788751</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00010</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00011</td><td>2023-03-14_10-13-27</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>11_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=0.7914,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 99944.8</td><td style=\"text-align: right;\"> -99944.8</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 1678788807</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00011</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00012</td><td>2023-03-14_10-13-32</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>12_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=1.1414,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 127256 </td><td style=\"text-align: right;\"> -127256 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 1678788812</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00012</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00013</td><td>2023-03-14_10-14-19</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>13_decl_scale=5,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.2549,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 117664 </td><td style=\"text-align: right;\"> -117664 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 1678788859</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00013</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00014</td><td>2023-03-14_10-14-08</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>14_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=0.9074,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 513248 </td><td style=\"text-align: right;\"> -513248 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 1678788848</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00014</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00015</td><td>2023-03-14_10-14-41</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>15_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=0.8794,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 215374 </td><td style=\"text-align: right;\"> -215374 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 1678788881</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00015</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00016</td><td>2023-03-14_10-14-55</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>16_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.2398,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 164798 </td><td style=\"text-align: right;\"> -164798 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 1678788895</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00016</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00017</td><td>2023-03-14_10-15-33</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>17_decl_scale=35,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.1908,lk_kwargs_nr_levels=12,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 367693 </td><td style=\"text-align: right;\"> -367693 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 1678788933</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00017</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00018</td><td>2023-03-14_10-15-51</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>18_decl_scale=30,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.6027,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 333774 </td><td style=\"text-align: right;\"> -333774 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 1678788951</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00018</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00019</td><td>2023-03-14_10-16-23</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>19_decl_scale=15,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.1294,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 140216 </td><td style=\"text-align: right;\"> -140216 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 1678788983</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00019</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00020</td><td>2023-03-14_10-16-23</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>20_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.3417,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 289873 </td><td style=\"text-align: right;\"> -289873 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 1678788983</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00020</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00021</td><td>2023-03-14_10-17-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>21_decl_scale=35,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=0.4149,lk_kwargs_nr_levels=12,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 195047 </td><td style=\"text-align: right;\"> -195047 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 1678789027</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00021</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00022</td><td>2023-03-14_10-16-57</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>22_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.3346,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 228534 </td><td style=\"text-align: right;\"> -228534 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 1678789017</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00022</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00023</td><td>2023-03-14_10-17-31</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>23_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=1.3594,lk_kwargs_nr_levels=9,size_opening=12</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 267538 </td><td style=\"text-align: right;\"> -267538 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 1678789051</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00023</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00024</td><td>2023-03-14_10-17-57</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>24_decl_scale=5,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=1.2112,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 167742 </td><td style=\"text-align: right;\"> -167742 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 1678789077</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00024</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00025</td><td>2023-03-14_10-18-03</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>25_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=1.1679,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 293203 </td><td style=\"text-align: right;\"> -293203 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 1678789083</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00025</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00026</td><td>2023-03-14_10-18-38</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>26_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=1.1408,lk_kwargs_nr_levels=12,size_opening=0</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 184966 </td><td style=\"text-align: right;\"> -184966 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 1678789118</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00026</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00027</td><td>2023-03-14_10-18-34</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>27_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.2700,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 244401 </td><td style=\"text-align: right;\"> -244401 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 1678789114</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00027</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00028</td><td>2023-03-14_10-19-36</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>28_decl_scale=10,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.9522,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 169207 </td><td style=\"text-align: right;\"> -169207 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 1678789176</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00028</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00029</td><td>2023-03-14_10-19-38</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>29_decl_scale=5,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.3116,lk_kwargs_nr_levels=3,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 92601.9</td><td style=\"text-align: right;\"> -92601.9</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 1678789178</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00029</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00030</td><td>2023-03-14_10-20-07</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>30_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=10,interp_kwargs_power=0.4990,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 177844 </td><td style=\"text-align: right;\"> -177844 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 1678789207</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00030</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00031</td><td>2023-03-14_10-20-37</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>31_decl_scale=5,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=1.0093,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 112281 </td><td style=\"text-align: right;\"> -112281 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 1678789237</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00031</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00032</td><td>2023-03-14_10-20-39</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>32_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=0.6453,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 147884 </td><td style=\"text-align: right;\"> -147884 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 1678789239</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00032</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00033</td><td>2023-03-14_10-21-13</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>33_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=0.2287,lk_kwargs_nr_levels=9,size_opening=12</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 360480 </td><td style=\"text-align: right;\"> -360480 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 1678789273</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00033</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00034</td><td>2023-03-14_10-21-31</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>34_decl_scale=5,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=1.0191,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 109022 </td><td style=\"text-align: right;\"> -109022 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 1678789291</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00034</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00035</td><td>2023-03-14_10-22-05</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>35_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=1.3377,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 100934 </td><td style=\"text-align: right;\"> -100934 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 1678789325</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00035</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00036</td><td>2023-03-14_10-22-04</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>36_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=0.2909,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 415302 </td><td style=\"text-align: right;\"> -415302 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 1678789324</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00036</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00037</td><td>2023-03-14_10-22-53</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>37_decl_scale=5,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.2203,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 40118.3</td><td style=\"text-align: right;\"> -40118.3</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 1678789373</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00037</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00038</td><td>2023-03-14_10-22-49</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>38_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.2585,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 215834 </td><td style=\"text-align: right;\"> -215834 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 1678789369</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00038</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00039</td><td>2023-03-14_10-23-40</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>39_decl_scale=35,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.4918,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 415870 </td><td style=\"text-align: right;\"> -415870 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 1678789420</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00039</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00040</td><td>2023-03-14_10-23-39</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>40_decl_scale=15,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=0.3494,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 82159.4</td><td style=\"text-align: right;\"> -82159.4</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 1678789419</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00040</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00041</td><td>2023-03-14_10-24-18</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>41_decl_scale=15,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=1.4974,lk_kwargs_nr_levels=3,size_opening=12 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 318364 </td><td style=\"text-align: right;\"> -318364 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 1678789458</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00041</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00042</td><td>2023-03-14_10-24-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>42_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.8234,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 171619 </td><td style=\"text-align: right;\"> -171619 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 1678789447</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00042</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00043</td><td>2023-03-14_10-24-44</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>43_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=0.1291,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 133432 </td><td style=\"text-align: right;\"> -133432 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 1678789484</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00043</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00044</td><td>2023-03-14_10-25-16</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>44_decl_scale=15,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=1.2205,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 225527 </td><td style=\"text-align: right;\"> -225527 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 1678789516</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00044</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00045</td><td>2023-03-14_10-25-23</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>45_decl_scale=0,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=0.9047,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 176883 </td><td style=\"text-align: right;\"> -176883 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 1678789523</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00045</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00046</td><td>2023-03-14_10-26-07</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>46_decl_scale=20,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.7487,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 143840 </td><td style=\"text-align: right;\"> -143840 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 1678789567</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00046</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00047</td><td>2023-03-14_10-25-55</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>47_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.1071,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 268954 </td><td style=\"text-align: right;\"> -268954 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 1678789555</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00047</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00048</td><td>2023-03-14_10-26-45</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>48_decl_scale=40,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=1.0716,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 330638 </td><td style=\"text-align: right;\"> -330638 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 1678789605</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00048</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00049</td><td>2023-03-14_10-27-06</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>49_decl_scale=5,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.7353,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 150307 </td><td style=\"text-align: right;\"> -150307 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 1678789626</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00049</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00050</td><td>2023-03-14_10-27-18</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>50_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.3590,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 139654 </td><td style=\"text-align: right;\"> -139654 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 1678789638</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00050</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00051</td><td>2023-03-14_10-27-43</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>51_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.4624,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 206575 </td><td style=\"text-align: right;\"> -206575 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 1678789663</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00051</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00052</td><td>2023-03-14_10-27-52</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>52_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.3303,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 174162 </td><td style=\"text-align: right;\"> -174162 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 1678789672</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00052</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00053</td><td>2023-03-14_10-28-25</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>53_decl_scale=0,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.9610,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 285013 </td><td style=\"text-align: right;\"> -285013 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 1678789705</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00053</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00054</td><td>2023-03-14_10-28-29</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>54_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.1871,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 114470 </td><td style=\"text-align: right;\"> -114470 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 1678789709</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00054</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00055</td><td>2023-03-14_10-29-22</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>55_decl_scale=20,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.4323,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 254934 </td><td style=\"text-align: right;\"> -254934 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 1678789762</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00055</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00056</td><td>2023-03-14_10-28-54</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>56_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.3005,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 165380 </td><td style=\"text-align: right;\"> -165380 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 1678789734</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00056</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00057</td><td>2023-03-14_10-29-43</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>57_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=1.1926,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 173130 </td><td style=\"text-align: right;\"> -173130 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 1678789783</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00057</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00058</td><td>2023-03-14_10-29-53</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>58_decl_scale=0,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.4303,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 284714 </td><td style=\"text-align: right;\"> -284714 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 1678789793</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00058</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00059</td><td>2023-03-14_10-30-27</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>59_decl_scale=5,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=0.5143,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 144350 </td><td style=\"text-align: right;\"> -144350 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 1678789827</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00059</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00060</td><td>2023-03-14_10-30-38</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>60_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=50,interp_kwargs_power=1.4153,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 135955 </td><td style=\"text-align: right;\"> -135955 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 1678789838</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00060</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00061</td><td>2023-03-14_10-31-02</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>61_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.1977,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 168561 </td><td style=\"text-align: right;\"> -168561 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 1678789862</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00061</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00062</td><td>2023-03-14_10-31-33</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>62_decl_scale=25,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.6014,lk_kwargs_nr_levels=12,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 253051 </td><td style=\"text-align: right;\"> -253051 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 1678789893</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00062</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00063</td><td>2023-03-14_10-31-30</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>63_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.4048,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 255563 </td><td style=\"text-align: right;\"> -255563 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 1678789890</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00063</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"</tbody>\n",
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"<style>\n",
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"<div class=\"tuneStatus\">\n",
" <div style=\"display: flex;flex-direction: row\">\n",
" <div style=\"display: flex;flex-direction: column;\">\n",
" <h3>Tune Status</h3>\n",
" <table>\n",
"<tbody>\n",
"<tr><td>Current time:</td><td>2023-03-14 10:44:08</td></tr>\n",
"<tr><td>Running for: </td><td>00:36:07.98 </td></tr>\n",
"<tr><td>Memory: </td><td>2.4/12.7 GiB </td></tr>\n",
"</tbody>\n",
"</table>\n",
" </div>\n",
" <div class=\"vDivider\"></div>\n",
" <div class=\"systemInfo\">\n",
" <h3>System Info</h3>\n",
" Using FIFO scheduling algorithm.<br>Resources requested: 0/2 CPUs, 0/0 GPUs, 0.0/7.36 GiB heap, 0.0/3.68 GiB objects\n",
" </div>\n",
" \n",
" </div>\n",
" <div class=\"hDivider\"></div>\n",
" <div class=\"trialStatus\">\n",
" <h3>Trial Status</h3>\n",
" <table>\n",
"<thead>\n",
"<tr><th>Trial name </th><th>status </th><th>loc </th><th style=\"text-align: right;\"> decl_scale</th><th>fd_method </th><th style=\"text-align: right;\"> interp_kwargs:k</th><th style=\"text-align: right;\"> interp_kwargs:power</th><th style=\"text-align: right;\"> lk_kwargs:nr_levels</th><th style=\"text-align: right;\"> size_opening</th><th style=\"text-align: right;\"> loss</th><th style=\"text-align: right;\"> iter</th><th style=\"text-align: right;\"> total time (s)</th><th style=\"text-align: right;\"> neg_mean_loss</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>pysteps_objective_1738d_00000</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 25</td><td>shitomasi </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.776173</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">189943 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51.0524</td><td style=\"text-align: right;\"> -189943 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00001</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 25</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 1.36587 </td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">103928 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 60.5573</td><td style=\"text-align: right;\"> -103928 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00002</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 30</td><td>shitomasi </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 1.08997 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">237690 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> -237690 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00003</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.804898</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">263001 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> -263001 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00004</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 20</td><td>blob </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 1.2495 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">113967 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> -113967 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00005</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.241948</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">124263 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> -124263 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00006</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 0.458854</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 51553.4</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> -51553.4</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00007</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.169007</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">113740 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> -113740 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00008</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 20</td><td>shitomasi </td><td style=\"text-align: right;\"> 40</td><td style=\"text-align: right;\"> 1.29848 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">163327 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> -163327 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00009</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 25</td><td>blob </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.350725</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">360706 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> -360706 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00010</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 15</td><td>shitomasi </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.111862</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">131101 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> -131101 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00011</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 0.791371</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 99944.8</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> -99944.8</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00012</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 0</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 1.14142 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">127256 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> -127256 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00013</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 5</td><td>blob </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 0.254907</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">117664 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> -117664 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00014</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 35</td><td>shitomasi </td><td style=\"text-align: right;\"> 40</td><td style=\"text-align: right;\"> 0.907379</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">513248 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> -513248 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00015</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 30</td><td>shitomasi </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 0.879416</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">215374 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> -215374 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00016</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 30</td><td>shitomasi </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 1.23978 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">164798 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> -164798 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00017</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 40</td><td style=\"text-align: right;\"> 0.190777</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">367693 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> -367693 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00018</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 30</td><td>blob </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.602684</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">333774 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> -333774 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00019</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 15</td><td>blob </td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 0.129409</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">140216 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> -140216 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00020</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 5</td><td>shitomasi </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 1.34173 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">289873 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> -289873 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00021</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 35</td><td>blob </td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 0.414873</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">195047 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> -195047 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00022</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.334606</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">228534 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> -228534 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00023</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 30</td><td>shitomasi </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 1.35937 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\">267538 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> -267538 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00024</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 5</td><td>blob </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 1.21119 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">167742 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> -167742 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00025</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 15</td><td style=\"text-align: right;\"> 1.16788 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">293203 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> -293203 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00026</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 10</td><td>shitomasi </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 1.14081 </td><td style=\"text-align: right;\"> 12</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">184966 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> -184966 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00027</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 5</td><td>shitomasi </td><td style=\"text-align: right;\"> 20</td><td style=\"text-align: right;\"> 0.269967</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">244401 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> -244401 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00028</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 10</td><td>blob </td><td style=\"text-align: right;\"> 45</td><td style=\"text-align: right;\"> 0.952172</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\">169207 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> -169207 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00029</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 5</td><td>blob </td><td style=\"text-align: right;\"> 35</td><td style=\"text-align: right;\"> 0.311631</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 92601.9</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> -92601.9</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00030</td><td>TERMINATED</td><td>172.28.0.12:31937</td><td style=\"text-align: right;\"> 35</td><td>shitomasi </td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 0.499028</td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\">177844 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> -177844 </td></tr>\n",
"<tr><td>pysteps_objective_1738d_00031</td><td>TERMINATED</td><td>172.28.0.12:31836</td><td style=\"text-align: right;\"> 5</td><td>blob </td><td style=\"text-align: right;\"> 30</td><td style=\"text-align: right;\"> 1.00933 </td><td style=\"text-align: right;\"> 9</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\">112281 </td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> -112281 </td></tr>\n",
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"<tr><th>Trial name </th><th>date </th><th>done </th><th>episodes_total </th><th>experiment_id </th><th>experiment_tag </th><th>hostname </th><th style=\"text-align: right;\"> iterations_since_restore</th><th style=\"text-align: right;\"> mean_loss</th><th style=\"text-align: right;\"> neg_mean_loss</th><th>node_ip </th><th style=\"text-align: right;\"> pid</th><th style=\"text-align: right;\"> time_since_restore</th><th style=\"text-align: right;\"> time_this_iter_s</th><th style=\"text-align: right;\"> time_total_s</th><th style=\"text-align: right;\"> timestamp</th><th style=\"text-align: right;\"> timesteps_since_restore</th><th>timesteps_total </th><th style=\"text-align: right;\"> training_iteration</th><th>trial_id </th><th style=\"text-align: right;\"> warmup_time</th></tr>\n",
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"<tr><td>pysteps_objective_1738d_00002</td><td>2023-03-14_10-09-35</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>2_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=1.0900,lk_kwargs_nr_levels=12,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 237690 </td><td style=\"text-align: right;\"> -237690 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 28.0561</td><td style=\"text-align: right;\"> 1678788575</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00002</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00003</td><td>2023-03-14_10-10-08</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>3_decl_scale=35,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.8049,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 263001 </td><td style=\"text-align: right;\"> -263001 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 45.2348</td><td style=\"text-align: right;\"> 1678788608</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00003</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00004</td><td>2023-03-14_10-10-25</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>4_decl_scale=20,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=1.2495,lk_kwargs_nr_levels=12,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 113967 </td><td style=\"text-align: right;\"> -113967 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 49.8952</td><td style=\"text-align: right;\"> 1678788625</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00004</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00005</td><td>2023-03-14_10-10-55</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>5_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.2419,lk_kwargs_nr_levels=12,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 124263 </td><td style=\"text-align: right;\"> -124263 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 46.2508</td><td style=\"text-align: right;\"> 1678788655</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00005</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00006</td><td>2023-03-14_10-11-17</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>6_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=0.4589,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51553.4</td><td style=\"text-align: right;\"> -51553.4</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 52.6539</td><td style=\"text-align: right;\"> 1678788677</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00006</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00007</td><td>2023-03-14_10-11-40</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>7_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.1690,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 113740 </td><td style=\"text-align: right;\"> -113740 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 45.7288</td><td style=\"text-align: right;\"> 1678788700</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00007</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00008</td><td>2023-03-14_10-11-53</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>8_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.2985,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 163327 </td><td style=\"text-align: right;\"> -163327 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 35.9201</td><td style=\"text-align: right;\"> 1678788713</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00008</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00009</td><td>2023-03-14_10-12-44</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>9_decl_scale=25,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.3507,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 360706 </td><td style=\"text-align: right;\"> -360706 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 63.2377</td><td style=\"text-align: right;\"> 1678788764</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00009</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00010</td><td>2023-03-14_10-12-31</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>10_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.1119,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 131101 </td><td style=\"text-align: right;\"> -131101 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 37.8382</td><td style=\"text-align: right;\"> 1678788751</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00010</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00011</td><td>2023-03-14_10-13-27</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>11_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=0.7914,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 99944.8</td><td style=\"text-align: right;\"> -99944.8</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 55.2253</td><td style=\"text-align: right;\"> 1678788807</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00011</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00012</td><td>2023-03-14_10-13-32</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>12_decl_scale=0,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=1.1414,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 127256 </td><td style=\"text-align: right;\"> -127256 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 48.154 </td><td style=\"text-align: right;\"> 1678788812</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00012</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00013</td><td>2023-03-14_10-14-19</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>13_decl_scale=5,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.2549,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 117664 </td><td style=\"text-align: right;\"> -117664 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 52.3832</td><td style=\"text-align: right;\"> 1678788859</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00013</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00014</td><td>2023-03-14_10-14-08</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>14_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=0.9074,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 513248 </td><td style=\"text-align: right;\"> -513248 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 36.0596</td><td style=\"text-align: right;\"> 1678788848</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00014</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00015</td><td>2023-03-14_10-14-41</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>15_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=0.8794,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 215374 </td><td style=\"text-align: right;\"> -215374 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 33.0801</td><td style=\"text-align: right;\"> 1678788881</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00015</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00016</td><td>2023-03-14_10-14-55</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>16_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.2398,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 164798 </td><td style=\"text-align: right;\"> -164798 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 35.9029</td><td style=\"text-align: right;\"> 1678788895</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00016</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00017</td><td>2023-03-14_10-15-33</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>17_decl_scale=35,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.1908,lk_kwargs_nr_levels=12,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 367693 </td><td style=\"text-align: right;\"> -367693 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 51.9798</td><td style=\"text-align: right;\"> 1678788933</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00017</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00018</td><td>2023-03-14_10-15-51</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>18_decl_scale=30,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.6027,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 333774 </td><td style=\"text-align: right;\"> -333774 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 55.7262</td><td style=\"text-align: right;\"> 1678788951</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00018</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00019</td><td>2023-03-14_10-16-23</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>19_decl_scale=15,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.1294,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 140216 </td><td style=\"text-align: right;\"> -140216 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 49.919 </td><td style=\"text-align: right;\"> 1678788983</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00019</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00020</td><td>2023-03-14_10-16-23</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>20_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.3417,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 289873 </td><td style=\"text-align: right;\"> -289873 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 31.6957</td><td style=\"text-align: right;\"> 1678788983</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00020</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00021</td><td>2023-03-14_10-17-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>21_decl_scale=35,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=0.4149,lk_kwargs_nr_levels=12,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 195047 </td><td style=\"text-align: right;\"> -195047 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 44.5834</td><td style=\"text-align: right;\"> 1678789027</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00021</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00022</td><td>2023-03-14_10-16-57</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>22_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.3346,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 228534 </td><td style=\"text-align: right;\"> -228534 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 33.4662</td><td style=\"text-align: right;\"> 1678789017</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00022</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00023</td><td>2023-03-14_10-17-31</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>23_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=1.3594,lk_kwargs_nr_levels=9,size_opening=12</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 267538 </td><td style=\"text-align: right;\"> -267538 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 34.2624</td><td style=\"text-align: right;\"> 1678789051</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00023</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00024</td><td>2023-03-14_10-17-57</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>24_decl_scale=5,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=1.2112,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 167742 </td><td style=\"text-align: right;\"> -167742 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 49.9103</td><td style=\"text-align: right;\"> 1678789077</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00024</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00025</td><td>2023-03-14_10-18-03</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>25_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=1.1679,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 293203 </td><td style=\"text-align: right;\"> -293203 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 31.9229</td><td style=\"text-align: right;\"> 1678789083</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00025</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00026</td><td>2023-03-14_10-18-38</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>26_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=1.1408,lk_kwargs_nr_levels=12,size_opening=0</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 184966 </td><td style=\"text-align: right;\"> -184966 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 40.6344</td><td style=\"text-align: right;\"> 1678789118</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00026</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00027</td><td>2023-03-14_10-18-34</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>27_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.2700,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 244401 </td><td style=\"text-align: right;\"> -244401 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 30.7035</td><td style=\"text-align: right;\"> 1678789114</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00027</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00028</td><td>2023-03-14_10-19-36</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>28_decl_scale=10,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.9522,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 169207 </td><td style=\"text-align: right;\"> -169207 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 62.0151</td><td style=\"text-align: right;\"> 1678789176</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00028</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00029</td><td>2023-03-14_10-19-38</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>29_decl_scale=5,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.3116,lk_kwargs_nr_levels=3,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 92601.9</td><td style=\"text-align: right;\"> -92601.9</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 59.4414</td><td style=\"text-align: right;\"> 1678789178</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00029</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00030</td><td>2023-03-14_10-20-07</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>30_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=10,interp_kwargs_power=0.4990,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 177844 </td><td style=\"text-align: right;\"> -177844 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 31.2312</td><td style=\"text-align: right;\"> 1678789207</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00030</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00031</td><td>2023-03-14_10-20-37</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>31_decl_scale=5,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=1.0093,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 112281 </td><td style=\"text-align: right;\"> -112281 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 59.623 </td><td style=\"text-align: right;\"> 1678789237</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00031</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00032</td><td>2023-03-14_10-20-39</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>32_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=0.6453,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 147884 </td><td style=\"text-align: right;\"> -147884 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 31.7681</td><td style=\"text-align: right;\"> 1678789239</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00032</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00033</td><td>2023-03-14_10-21-13</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>33_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=0.2287,lk_kwargs_nr_levels=9,size_opening=12</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 360480 </td><td style=\"text-align: right;\"> -360480 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 35.9006</td><td style=\"text-align: right;\"> 1678789273</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00033</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00034</td><td>2023-03-14_10-21-31</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>34_decl_scale=5,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=1.0191,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 109022 </td><td style=\"text-align: right;\"> -109022 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 51.8913</td><td style=\"text-align: right;\"> 1678789291</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00034</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00035</td><td>2023-03-14_10-22-05</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>35_decl_scale=0,fd_method=blob,interp_kwargs_k=30,interp_kwargs_power=1.3377,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 100934 </td><td style=\"text-align: right;\"> -100934 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 51.6573</td><td style=\"text-align: right;\"> 1678789325</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00035</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00036</td><td>2023-03-14_10-22-04</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>36_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=0.2909,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 415302 </td><td style=\"text-align: right;\"> -415302 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 32.4722</td><td style=\"text-align: right;\"> 1678789324</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00036</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00037</td><td>2023-03-14_10-22-53</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>37_decl_scale=5,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.2203,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 40118.3</td><td style=\"text-align: right;\"> -40118.3</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 49.2696</td><td style=\"text-align: right;\"> 1678789373</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00037</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00038</td><td>2023-03-14_10-22-49</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>38_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.2585,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 215834 </td><td style=\"text-align: right;\"> -215834 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 43.6963</td><td style=\"text-align: right;\"> 1678789369</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00038</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00039</td><td>2023-03-14_10-23-40</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>39_decl_scale=35,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.4918,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 415870 </td><td style=\"text-align: right;\"> -415870 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 51.0247</td><td style=\"text-align: right;\"> 1678789420</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00039</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00040</td><td>2023-03-14_10-23-39</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>40_decl_scale=15,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=0.3494,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 82159.4</td><td style=\"text-align: right;\"> -82159.4</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 45.0871</td><td style=\"text-align: right;\"> 1678789419</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00040</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00041</td><td>2023-03-14_10-24-18</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>41_decl_scale=15,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=1.4974,lk_kwargs_nr_levels=3,size_opening=12 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 318364 </td><td style=\"text-align: right;\"> -318364 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 39.0435</td><td style=\"text-align: right;\"> 1678789458</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00041</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00042</td><td>2023-03-14_10-24-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>42_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.8234,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 171619 </td><td style=\"text-align: right;\"> -171619 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 27.2073</td><td style=\"text-align: right;\"> 1678789447</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00042</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00043</td><td>2023-03-14_10-24-44</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>43_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=0.1291,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 133432 </td><td style=\"text-align: right;\"> -133432 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 36.4093</td><td style=\"text-align: right;\"> 1678789484</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00043</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00044</td><td>2023-03-14_10-25-16</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>44_decl_scale=15,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=1.2205,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 225527 </td><td style=\"text-align: right;\"> -225527 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 58.227 </td><td style=\"text-align: right;\"> 1678789516</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00044</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00045</td><td>2023-03-14_10-25-23</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>45_decl_scale=0,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=0.9047,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 176883 </td><td style=\"text-align: right;\"> -176883 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 39.1038</td><td style=\"text-align: right;\"> 1678789523</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00045</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00046</td><td>2023-03-14_10-26-07</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>46_decl_scale=20,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.7487,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 143840 </td><td style=\"text-align: right;\"> -143840 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 50.8737</td><td style=\"text-align: right;\"> 1678789567</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00046</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00047</td><td>2023-03-14_10-25-55</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>47_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.1071,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 268954 </td><td style=\"text-align: right;\"> -268954 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 31.9444</td><td style=\"text-align: right;\"> 1678789555</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00047</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00048</td><td>2023-03-14_10-26-45</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>48_decl_scale=40,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=1.0716,lk_kwargs_nr_levels=3,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 330638 </td><td style=\"text-align: right;\"> -330638 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 49.731 </td><td style=\"text-align: right;\"> 1678789605</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00048</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00049</td><td>2023-03-14_10-27-06</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>49_decl_scale=5,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.7353,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 150307 </td><td style=\"text-align: right;\"> -150307 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 59.0714</td><td style=\"text-align: right;\"> 1678789626</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00049</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00050</td><td>2023-03-14_10-27-18</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>50_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.3590,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 139654 </td><td style=\"text-align: right;\"> -139654 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 32.3286</td><td style=\"text-align: right;\"> 1678789638</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00050</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00051</td><td>2023-03-14_10-27-43</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>51_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.4624,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 206575 </td><td style=\"text-align: right;\"> -206575 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 37.0455</td><td style=\"text-align: right;\"> 1678789663</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00051</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00052</td><td>2023-03-14_10-27-52</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>52_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.3303,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 174162 </td><td style=\"text-align: right;\"> -174162 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 34.3561</td><td style=\"text-align: right;\"> 1678789672</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00052</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00053</td><td>2023-03-14_10-28-25</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>53_decl_scale=0,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.9610,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 285013 </td><td style=\"text-align: right;\"> -285013 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 41.2324</td><td style=\"text-align: right;\"> 1678789705</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00053</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00054</td><td>2023-03-14_10-28-29</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>54_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.1871,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 114470 </td><td style=\"text-align: right;\"> -114470 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 36.5823</td><td style=\"text-align: right;\"> 1678789709</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00054</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00055</td><td>2023-03-14_10-29-22</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>55_decl_scale=20,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.4323,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 254934 </td><td style=\"text-align: right;\"> -254934 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 57.3242</td><td style=\"text-align: right;\"> 1678789762</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00055</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00056</td><td>2023-03-14_10-28-54</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>56_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.3005,lk_kwargs_nr_levels=12,size_opening=6</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 165380 </td><td style=\"text-align: right;\"> -165380 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 25.2743</td><td style=\"text-align: right;\"> 1678789734</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00056</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00057</td><td>2023-03-14_10-29-43</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>57_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=1.1926,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 173130 </td><td style=\"text-align: right;\"> -173130 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 48.2668</td><td style=\"text-align: right;\"> 1678789783</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00057</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00058</td><td>2023-03-14_10-29-53</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>58_decl_scale=0,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=1.4303,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 284714 </td><td style=\"text-align: right;\"> -284714 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 30.7658</td><td style=\"text-align: right;\"> 1678789793</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00058</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00059</td><td>2023-03-14_10-30-27</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>59_decl_scale=5,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=0.5143,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 144350 </td><td style=\"text-align: right;\"> -144350 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 43.8328</td><td style=\"text-align: right;\"> 1678789827</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00059</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00060</td><td>2023-03-14_10-30-38</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>60_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=50,interp_kwargs_power=1.4153,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 135955 </td><td style=\"text-align: right;\"> -135955 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 44.2209</td><td style=\"text-align: right;\"> 1678789838</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00060</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00061</td><td>2023-03-14_10-31-02</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>61_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=1.1977,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 168561 </td><td style=\"text-align: right;\"> -168561 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 34.6682</td><td style=\"text-align: right;\"> 1678789862</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00061</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00062</td><td>2023-03-14_10-31-33</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>62_decl_scale=25,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.6014,lk_kwargs_nr_levels=12,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 253051 </td><td style=\"text-align: right;\"> -253051 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 55.3587</td><td style=\"text-align: right;\"> 1678789893</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00062</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00063</td><td>2023-03-14_10-31-30</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>63_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=15,interp_kwargs_power=0.4048,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 255563 </td><td style=\"text-align: right;\"> -255563 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 28.7691</td><td style=\"text-align: right;\"> 1678789890</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00063</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00064</td><td>2023-03-14_10-31-55</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>64_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=10,interp_kwargs_power=0.8555,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 332384 </td><td style=\"text-align: right;\"> -332384 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 24.0024</td><td style=\"text-align: right;\"> 24.0024</td><td style=\"text-align: right;\"> 24.0024</td><td style=\"text-align: right;\"> 1678789915</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00064</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00065</td><td>2023-03-14_10-32-05</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>65_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=0.2378,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 162440 </td><td style=\"text-align: right;\"> -162440 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 32.1491</td><td style=\"text-align: right;\"> 32.1491</td><td style=\"text-align: right;\"> 32.1491</td><td style=\"text-align: right;\"> 1678789925</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00065</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00066</td><td>2023-03-14_10-32-45</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>66_decl_scale=30,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=1.1759,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 250735 </td><td style=\"text-align: right;\"> -250735 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 50.0498</td><td style=\"text-align: right;\"> 50.0498</td><td style=\"text-align: right;\"> 50.0498</td><td style=\"text-align: right;\"> 1678789965</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00066</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00067</td><td>2023-03-14_10-32-56</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>67_decl_scale=35,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.3284,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 355281 </td><td style=\"text-align: right;\"> -355281 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 50.245 </td><td style=\"text-align: right;\"> 50.245 </td><td style=\"text-align: right;\"> 50.245 </td><td style=\"text-align: right;\"> 1678789976</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00067</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00068</td><td>2023-03-14_10-33-20</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>68_decl_scale=10,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=1.1335,lk_kwargs_nr_levels=6,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 211020 </td><td style=\"text-align: right;\"> -211020 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 35.0849</td><td style=\"text-align: right;\"> 35.0849</td><td style=\"text-align: right;\"> 35.0849</td><td style=\"text-align: right;\"> 1678790000</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00068</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00069</td><td>2023-03-14_10-33-36</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>69_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=0.9694,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 165261 </td><td style=\"text-align: right;\"> -165261 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 39.9628</td><td style=\"text-align: right;\"> 39.9628</td><td style=\"text-align: right;\"> 39.9628</td><td style=\"text-align: right;\"> 1678790016</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00069</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00070</td><td>2023-03-14_10-34-13</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>70_decl_scale=15,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.7835,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 184170 </td><td style=\"text-align: right;\"> -184170 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 53.1895</td><td style=\"text-align: right;\"> 53.1895</td><td style=\"text-align: right;\"> 53.1895</td><td style=\"text-align: right;\"> 1678790053</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00070</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00071</td><td>2023-03-14_10-34-03</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>71_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.1114,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 139815 </td><td style=\"text-align: right;\"> -139815 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 26.4905</td><td style=\"text-align: right;\"> 26.4905</td><td style=\"text-align: right;\"> 26.4905</td><td style=\"text-align: right;\"> 1678790043</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00071</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00072</td><td>2023-03-14_10-34-41</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>72_decl_scale=35,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=0.2992,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 218933 </td><td style=\"text-align: right;\"> -218933 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 38.5201</td><td style=\"text-align: right;\"> 38.5201</td><td style=\"text-align: right;\"> 38.5201</td><td style=\"text-align: right;\"> 1678790081</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00072</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00073</td><td>2023-03-14_10-35-07</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>73_decl_scale=30,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=0.6727,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 484122 </td><td style=\"text-align: right;\"> -484122 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 53.1968</td><td style=\"text-align: right;\"> 53.1968</td><td style=\"text-align: right;\"> 53.1968</td><td style=\"text-align: right;\"> 1678790107</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00073</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00074</td><td>2023-03-14_10-35-22</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>74_decl_scale=30,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.6786,lk_kwargs_nr_levels=3,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 270578 </td><td style=\"text-align: right;\"> -270578 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 40.6298</td><td style=\"text-align: right;\"> 40.6298</td><td style=\"text-align: right;\"> 40.6298</td><td style=\"text-align: right;\"> 1678790122</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00074</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00075</td><td>2023-03-14_10-35-54</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>75_decl_scale=5,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.2151,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 80043.4</td><td style=\"text-align: right;\"> -80043.4</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 46.8976</td><td style=\"text-align: right;\"> 46.8976</td><td style=\"text-align: right;\"> 46.8976</td><td style=\"text-align: right;\"> 1678790154</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00075</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00076</td><td>2023-03-14_10-36-20</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>76_decl_scale=0,fd_method=blob,interp_kwargs_k=45,interp_kwargs_power=1.1701,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 122279 </td><td style=\"text-align: right;\"> -122279 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 57.8303</td><td style=\"text-align: right;\"> 57.8303</td><td style=\"text-align: right;\"> 57.8303</td><td style=\"text-align: right;\"> 1678790180</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00076</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00077</td><td>2023-03-14_10-36-44</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>77_decl_scale=30,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.8247,lk_kwargs_nr_levels=6,size_opening=12 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 451392 </td><td style=\"text-align: right;\"> -451392 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 49.8457</td><td style=\"text-align: right;\"> 49.8457</td><td style=\"text-align: right;\"> 49.8457</td><td style=\"text-align: right;\"> 1678790204</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00077</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00078</td><td>2023-03-14_10-36-47</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>78_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.4485,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 482818 </td><td style=\"text-align: right;\"> -482818 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 26.6712</td><td style=\"text-align: right;\"> 26.6712</td><td style=\"text-align: right;\"> 26.6712</td><td style=\"text-align: right;\"> 1678790207</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00078</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00079</td><td>2023-03-14_10-37-21</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>79_decl_scale=0,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.1488,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 275042 </td><td style=\"text-align: right;\"> -275042 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 36.9247</td><td style=\"text-align: right;\"> 36.9247</td><td style=\"text-align: right;\"> 36.9247</td><td style=\"text-align: right;\"> 1678790241</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00079</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00080</td><td>2023-03-14_10-37-40</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>80_decl_scale=0,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=0.6562,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 93929.3</td><td style=\"text-align: right;\"> -93929.3</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 52.5641</td><td style=\"text-align: right;\"> 52.5641</td><td style=\"text-align: right;\"> 52.5641</td><td style=\"text-align: right;\"> 1678790260</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00080</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00081</td><td>2023-03-14_10-38-16</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>81_decl_scale=0,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.9031,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 85905.7</td><td style=\"text-align: right;\"> -85905.7</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 54.3585</td><td style=\"text-align: right;\"> 54.3585</td><td style=\"text-align: right;\"> 54.3585</td><td style=\"text-align: right;\"> 1678790296</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00081</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00082</td><td>2023-03-14_10-38-15</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>82_decl_scale=25,fd_method=shitomasi,interp_kwargs_k=30,interp_kwargs_power=1.2841,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 154780 </td><td style=\"text-align: right;\"> -154780 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 34.6391</td><td style=\"text-align: right;\"> 34.6391</td><td style=\"text-align: right;\"> 34.6391</td><td style=\"text-align: right;\"> 1678790295</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00082</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00083</td><td>2023-03-14_10-39-02</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>83_decl_scale=40,fd_method=blob,interp_kwargs_k=25,interp_kwargs_power=0.1822,lk_kwargs_nr_levels=3,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 534361 </td><td style=\"text-align: right;\"> -534361 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 47.3696</td><td style=\"text-align: right;\"> 47.3696</td><td style=\"text-align: right;\"> 47.3696</td><td style=\"text-align: right;\"> 1678790342</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00083</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00084</td><td>2023-03-14_10-38-48</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>84_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.2362,lk_kwargs_nr_levels=12,size_opening=0</td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 137097 </td><td style=\"text-align: right;\"> -137097 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 32.0905</td><td style=\"text-align: right;\"> 32.0905</td><td style=\"text-align: right;\"> 32.0905</td><td style=\"text-align: right;\"> 1678790328</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00084</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00085</td><td>2023-03-14_10-39-27</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>85_decl_scale=30,fd_method=blob,interp_kwargs_k=10,interp_kwargs_power=1.0174,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 70409.8</td><td style=\"text-align: right;\"> -70409.8</td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 38.3981</td><td style=\"text-align: right;\"> 38.3981</td><td style=\"text-align: right;\"> 38.3981</td><td style=\"text-align: right;\"> 1678790367</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00085</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00086</td><td>2023-03-14_10-39-43</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>86_decl_scale=30,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.7527,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 311432 </td><td style=\"text-align: right;\"> -311432 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 40.8572</td><td style=\"text-align: right;\"> 40.8572</td><td style=\"text-align: right;\"> 40.8572</td><td style=\"text-align: right;\"> 1678790383</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00086</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00087</td><td>2023-03-14_10-39-57</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>87_decl_scale=5,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.8412,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 274954 </td><td style=\"text-align: right;\"> -274954 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 30.3049</td><td style=\"text-align: right;\"> 30.3049</td><td style=\"text-align: right;\"> 30.3049</td><td style=\"text-align: right;\"> 1678790397</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00087</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00088</td><td>2023-03-14_10-40-16</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>88_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=20,interp_kwargs_power=0.9615,lk_kwargs_nr_levels=6,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 129388 </td><td style=\"text-align: right;\"> -129388 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 32.7073</td><td style=\"text-align: right;\"> 32.7073</td><td style=\"text-align: right;\"> 32.7073</td><td style=\"text-align: right;\"> 1678790416</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00088</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00089</td><td>2023-03-14_10-40-45</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>89_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=50,interp_kwargs_power=0.4119,lk_kwargs_nr_levels=9,size_opening=0 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 392576 </td><td style=\"text-align: right;\"> -392576 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 47.8552</td><td style=\"text-align: right;\"> 47.8552</td><td style=\"text-align: right;\"> 47.8552</td><td style=\"text-align: right;\"> 1678790445</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00089</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00090</td><td>2023-03-14_10-40-59</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>90_decl_scale=10,fd_method=blob,interp_kwargs_k=15,interp_kwargs_power=0.1768,lk_kwargs_nr_levels=3,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 51123.2</td><td style=\"text-align: right;\"> -51123.2</td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 42.6527</td><td style=\"text-align: right;\"> 42.6527</td><td style=\"text-align: right;\"> 42.6527</td><td style=\"text-align: right;\"> 1678790459</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00090</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00091</td><td>2023-03-14_10-41-38</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>91_decl_scale=20,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.3098,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 303337 </td><td style=\"text-align: right;\"> -303337 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.3379</td><td style=\"text-align: right;\"> 52.3379</td><td style=\"text-align: right;\"> 52.3379</td><td style=\"text-align: right;\"> 1678790498</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00091</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00092</td><td>2023-03-14_10-41-41</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>92_decl_scale=30,fd_method=blob,interp_kwargs_k=20,interp_kwargs_power=0.9797,lk_kwargs_nr_levels=12,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 285382 </td><td style=\"text-align: right;\"> -285382 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 41.7451</td><td style=\"text-align: right;\"> 41.7451</td><td style=\"text-align: right;\"> 41.7451</td><td style=\"text-align: right;\"> 1678790501</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00092</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00093</td><td>2023-03-14_10-42-11</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>93_decl_scale=20,fd_method=shitomasi,interp_kwargs_k=35,interp_kwargs_power=1.0414,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 167133 </td><td style=\"text-align: right;\"> -167133 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 33.2335</td><td style=\"text-align: right;\"> 33.2335</td><td style=\"text-align: right;\"> 33.2335</td><td style=\"text-align: right;\"> 1678790531</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00093</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00094</td><td>2023-03-14_10-42-32</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>94_decl_scale=5,fd_method=blob,interp_kwargs_k=40,interp_kwargs_power=0.4480,lk_kwargs_nr_levels=9,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 106511 </td><td style=\"text-align: right;\"> -106511 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 50.3508</td><td style=\"text-align: right;\"> 50.3508</td><td style=\"text-align: right;\"> 50.3508</td><td style=\"text-align: right;\"> 1678790552</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00094</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00095</td><td>2023-03-14_10-43-03</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>95_decl_scale=5,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=1.3408,lk_kwargs_nr_levels=6,size_opening=6 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 124237 </td><td style=\"text-align: right;\"> -124237 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 52.1698</td><td style=\"text-align: right;\"> 52.1698</td><td style=\"text-align: right;\"> 52.1698</td><td style=\"text-align: right;\"> 1678790583</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00095</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00096</td><td>2023-03-14_10-43-06</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>96_decl_scale=15,fd_method=shitomasi,interp_kwargs_k=25,interp_kwargs_power=0.8699,lk_kwargs_nr_levels=9,size_opening=9 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 137445 </td><td style=\"text-align: right;\"> -137445 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 34.0421</td><td style=\"text-align: right;\"> 34.0421</td><td style=\"text-align: right;\"> 34.0421</td><td style=\"text-align: right;\"> 1678790586</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00096</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00097</td><td>2023-03-14_10-43-39</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>97_decl_scale=35,fd_method=shitomasi,interp_kwargs_k=40,interp_kwargs_power=0.1190,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 394464 </td><td style=\"text-align: right;\"> -394464 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 34.9651</td><td style=\"text-align: right;\"> 34.9651</td><td style=\"text-align: right;\"> 34.9651</td><td style=\"text-align: right;\"> 1678790619</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00097</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00098</td><td>2023-03-14_10-43-55</td><td>True </td><td> </td><td>cc4e1e62c9924140b7f92920d486a0ab</td><td>98_decl_scale=30,fd_method=blob,interp_kwargs_k=35,interp_kwargs_power=1.1354,lk_kwargs_nr_levels=6,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 269661 </td><td style=\"text-align: right;\"> -269661 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31937</td><td style=\"text-align: right;\"> 49.2151</td><td style=\"text-align: right;\"> 49.2151</td><td style=\"text-align: right;\"> 49.2151</td><td style=\"text-align: right;\"> 1678790635</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00098</td><td style=\"text-align: right;\"> 0.00522685</td></tr>\n",
"<tr><td>pysteps_objective_1738d_00099</td><td>2023-03-14_10-44-08</td><td>True </td><td> </td><td>191f39f2fa514f229a5267d912820e7f</td><td>99_decl_scale=30,fd_method=shitomasi,interp_kwargs_k=45,interp_kwargs_power=0.6571,lk_kwargs_nr_levels=9,size_opening=3 </td><td>bff99a66fe9e</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 289218 </td><td style=\"text-align: right;\"> -289218 </td><td>172.28.0.12</td><td style=\"text-align: right;\">31836</td><td style=\"text-align: right;\"> 29.0526</td><td style=\"text-align: right;\"> 29.0526</td><td style=\"text-align: right;\"> 29.0526</td><td style=\"text-align: right;\"> 1678790648</td><td style=\"text-align: right;\"> 0</td><td> </td><td style=\"text-align: right;\"> 1</td><td>1738d_00099</td><td style=\"text-align: right;\"> 0.00550508</td></tr>\n",
"</tbody>\n",
"</table>\n",
"</div>\n",
"<style>\n",
".trialProgress {\n",
" display: flex;\n",
" flex-direction: column;\n",
" color: var(--jp-ui-font-color1);\n",
"}\n",
".trialProgress h3 {\n",
" font-weight: bold;\n",
"}\n",
".trialProgress td {\n",
" white-space: nowrap;\n",
"}\n",
"</style>\n"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"\n",
"def make_dot_plots(df):\n",
" col_params = [col for col in df.columns if \"config/\" in col]\n",
" ncols = 3\n",
" nrows = len(col_params) // ncols + 1\n",
" fig, axs = plt.subplots(nrows, ncols, figsize=(ncols * 3, ncols * 2))\n",
" for n, par in enumerate(col_params):\n",
" ax = axs.flat[n]\n",
" ax.scatter(df[par], df[\"mean_loss\"], alpha=0.5)\n",
" ax.set_yscale('log')\n",
" ax.set_xlabel(par.split(\"/\")[1])\n",
" plt.tight_layout()\n",
"\n",
"\n",
"df = results.get_dataframe()\n",
"make_dot_plots(df)\n",
"\n",
"print(\"Best hyperparameters found were: \", results.get_best_result().config)"
],
"metadata": {
"id": "DrwuaNgR871U",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 479
},
"outputId": "a8d933b9-3892-4ff2-e1b1-86f9c0ea751c"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Best hyperparameters found were: {'decl_scale': 5, 'size_opening': 9, 'fd_method': 'blob', 'interp_kwargs:power': 0.2202941643244955, 'interp_kwargs:k': 25, 'lk_kwargs:nr_levels': 3}\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 648x432 with 9 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "hHYSc7zMj53e"
},
"execution_count": null,
"outputs": []
}
]
}
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