diff --git a/docs/notebooks/config.yaml b/docs/notebooks/config.yaml
index 8b137891..c706ad58 100644
--- a/docs/notebooks/config.yaml
+++ b/docs/notebooks/config.yaml
@@ -1 +1,19 @@
-
+data_dir: "/Users/kdesoto/superphot-plus-data"
+transient_data_fn: "transients_spec_group"
+sampler_results_fn: "sampler_result_group"
+sampler: "superphot_svi"
+chisq_cutoff: 1.2
+plot: True
+model_type: "LightGBM"
+use_redshift_features: False
+fits_per_majority: 25
+prob_threshhold: 0.5
+n_folds: 10
+num_epochs: 250
+random_seed: 42
+n_parallel: 10
+#target_label: None
+neurons_per_layer: 64
+num_hidden_layers: 3
+learning_rate: 0.001
+batch_size: 64
diff --git a/docs/notebooks/full_train_workflow.ipynb b/docs/notebooks/full_train_workflow.ipynb
index db1003ac..f9616c42 100644
--- a/docs/notebooks/full_train_workflow.ipynb
+++ b/docs/notebooks/full_train_workflow.ipynb
@@ -72,27 +72,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "7c79328b-94f8-4bd6-8cd7-885799db4e02",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/data/tutorial\n",
-      "15791 ['2025qkn', '2025pao', '2025imf', '2025pdu', '2025odk']\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from pathlib import Path\n",
     "import os\n",
@@ -124,16 +107,7 @@
    "execution_count": 2,
    "id": "718f0aa3",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# First augments the config file to save to your data folder path!\n",
     "# Feel free to change to any path you want\n",
@@ -152,945 +126,7 @@
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "15791 names to query across 8 cores.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 265.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 537.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 820.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 1076.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 1343.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 1613.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 1895.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 2176.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 2458.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 2733.\n",
-      "Processing 527 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 3016.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 3322.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 3612.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 3874.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 4153.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 4440.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 4732.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 5009.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 5267.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 5555.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 5826.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 6107.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 6385.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 6682.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 6960.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 7222.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 7482.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 7752.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 8036.\n",
-      "Processing 526 transients in batch\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished processing, making transient group now\n",
-      "Total transients saved: 8301.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from superphot_plus.config import SuperphotConfig\n",
     "from superphot_plus.data_generation import import_all_names\n",
@@ -1114,72 +150,7 @@
    "execution_count": 4,
    "id": "8332fc7c-1f2f-42ce-a9c2-38c8dbc9db66",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "8301\n",
-      "                  ra        dec                     internal_names spec_class  \\\n",
-      "id                                                                              \n",
-      "2019J     150.944878   6.773457  PS18crs, ATLAS19cay, ZTF19aacxrab     SLSN-I   \n",
-      "2019aafe  349.068683  48.428444                       ZTF19abzfxel     SN IIn   \n",
-      "2019aamp  219.455292  20.304611                       ZTF19aantokv     SLSN-I   \n",
-      "2019aanx  112.499958  13.095333                       ZTF19ackiwff    SLSN-II   \n",
-      "2019aaot    3.069526  -5.727405                       ZTF19aazdroc        AGN   \n",
-      "\n",
-      "          redshift  \n",
-      "id                  \n",
-      "2019J        0.120  \n",
-      "2019aafe     0.074  \n",
-      "2019aamp     0.404  \n",
-      "2019aanx     0.403  \n",
-      "2019aaot     0.283  \n",
-      "                     ra   dec  internal_names  redshift\n",
-      "spec_class                                             \n",
-      "AGN                  45    45              45        44\n",
-      "CV                  100   100             100        61\n",
-      "Galaxy                4     4               4         4\n",
-      "ILRT                  1     1               1         1\n",
-      "LBV                   6     6               6         6\n",
-      "LRN                   3     3               3         3\n",
-      "M dwarf               1     1               1         0\n",
-      "NA/Unknown            1     1               1         0\n",
-      "Nova                 28    28              28        23\n",
-      "QSO                   3     3               3         3\n",
-      "SLSN-I              104   104             104       104\n",
-      "SLSN-II              51    51              51        51\n",
-      "SN                   27    27              27        25\n",
-      "SN I                 13    13              13        13\n",
-      "SN II              1218  1218            1218      1210\n",
-      "SN II-pec             7     7               7         7\n",
-      "SN IIP               90    90              90        90\n",
-      "SN IIb              103   103             103       103\n",
-      "SN IIn              220   220             220       220\n",
-      "SN Ia              5467  5467            5467      5456\n",
-      "SN Ia-91T-like      195   195             195       194\n",
-      "SN Ia-91bg-like      37    37              37        37\n",
-      "SN Ia-CSM            20    20              20        20\n",
-      "SN Ia-SC             10    10              10        10\n",
-      "SN Ia-pec            38    38              38        38\n",
-      "SN Iax[02cx-like]    23    23              23        23\n",
-      "SN Ib               129   129             129       128\n",
-      "SN Ib-Ca-rich         1     1               1         1\n",
-      "SN Ib-pec             5     5               5         5\n",
-      "SN Ib/c              22    22              22        22\n",
-      "SN Ibn               27    27              27        27\n",
-      "SN Ibn/Icn            2     2               2         2\n",
-      "SN Ic               142   142             142       142\n",
-      "SN Ic-BL             67    67              67        66\n",
-      "SN Ic-pec             1     1               1         1\n",
-      "SN Icn                2     2               2         2\n",
-      "TDE                  72    72              72        71\n",
-      "TDE-H-He              3     3               3         3\n",
-      "TDE-He                6     6               6         6\n",
-      "Varstar               7     7               7         4\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Let's check the TransientGroup we created!\n",
     "from snapi import TransientGroup\n",
@@ -1187,20 +158,12 @@
     "\n",
     "config = SuperphotConfig.from_file(\"config.yaml\")\n",
     "transient_group = TransientGroup.load(config.transient_data_fn)\n",
-    "\n",
+    "transient_group.add_col('peak_abs_mag', lambda x: x.peak_abs_mag)\n",
     "print(len(transient_group.metadata))\n",
     "print(transient_group.metadata.head())\n",
     "print(transient_group.metadata.groupby('spec_class').count())"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "4cdb3a4d-810c-47df-9a68-9c94070ef085",
-   "metadata": {},
-   "source": [
-    "Finally, before fitting, we want to phase and normalize all the photometry. This is because our samplers expect light curves to already be phased and normalized before fitting."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "f05e95c4-e3aa-4978-8a45-b5e248ea6310",
@@ -1223,2048 +186,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 6,
    "id": "06532f86-feb2-45da-ab33-49966d1f14d7",
    "metadata": {
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "INFO:2025-07-08 18:10:43,453:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:10:43,453 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['A_ZTF_r' 'beta_ZTF_r' 'gamma_ZTF_r' 't_0_ZTF_r' 'tau_rise_ZTF_r'\n",
-      " 'tau_fall_ZTF_r' 'extra_sigma_ZTF_r' 'A_ZTF_g' 'beta_ZTF_g' 'gamma_ZTF_g'\n",
-      " 't_0_ZTF_g' 'tau_rise_ZTF_g' 'tau_fall_ZTF_g' 'extra_sigma_ZTF_g'] ['A', 'beta', 'gamma', 't_0', 'tau_rise', 'tau_fall', 'extra_sigma']\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Transient group loaded\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:16:08,795:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:08,795 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:08,803:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:08,803 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:08,829:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:08,829 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:09,112:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:09,112 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:09,180:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:09,180 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:09,343:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:09,343 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:09,469:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:09,469 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:16:09,553:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:16:09,553 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:18:21,785 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:21,933 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:22,111 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:24,545 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:24,751 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:24,780 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:25,415 - MainProcess - Worker done\n",
-      "2025-07-08 18:18:25,777 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 1 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:36:14,549:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,549 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,551:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,551 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,561:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,561 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,568:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,568 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,575:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,575 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,678:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,678 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:14,822:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:14,822 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:36:15,246:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:36:15,246 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:36:58,502 - MainProcess - Worker done\n",
-      "2025-07-08 18:36:59,242 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:00,220 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:01,024 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:01,239 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:01,697 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:01,906 - MainProcess - Worker done\n",
-      "2025-07-08 18:37:01,923 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 2 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:37:11,006:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,006 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,010:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,010 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,015:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,015 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,022:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,022 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,286:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,286 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,314:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,314 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,587:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,587 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:37:11,841:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:37:11,841 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:38:06,302 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:06,969 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:07,456 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:07,571 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:08,402 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:09,085 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:11,061 - MainProcess - Worker done\n",
-      "2025-07-08 18:38:11,238 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 3 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:38:21,276:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,276 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,278:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,278 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,283:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,283 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,340:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,340 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,616:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,616 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,718:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,718 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,752:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,752 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:38:21,925:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:38:21,925 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:44:28,664 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:32,945 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:33,943 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:34,386 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:34,718 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:36,270 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:36,597 - MainProcess - Worker done\n",
-      "2025-07-08 18:44:37,422 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 4 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:44:50,269:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,269 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,270:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,270 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,274:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,274 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,279:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,279 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,279:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,279 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,404:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,404 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,456:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,456 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:44:50,616:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:44:50,616 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:45:39,250 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:40,574 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:41,074 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:41,115 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:42,512 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:42,953 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:43,869 - MainProcess - Worker done\n",
-      "2025-07-08 18:45:44,036 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 5 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:45:58,345:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,345 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,355:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,355 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,356:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,356 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,356:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,356 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,366:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,366 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,496:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,496 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,552:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,552 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:45:58,960:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:45:58,960 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:46:44,817 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:46,148 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:47,183 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:47,733 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:48,870 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:48,893 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:49,057 - MainProcess - Worker done\n",
-      "2025-07-08 18:46:50,270 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 6 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:47:05,848:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,848 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,852:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,852 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,856:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,856 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,858:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,858 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,876:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,876 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,977:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,977 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:05,977:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:05,977 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:47:06,045:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:47:06,045 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:47:49,886 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:52,890 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:53,849 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:54,442 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:57,894 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:58,585 - MainProcess - Worker done\n",
-      "2025-07-08 18:47:58,834 - MainProcess - Worker done\n",
-      "2025-07-08 18:48:00,557 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 7 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:48:20,097:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,097 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,099:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,099 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,102:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,102 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,102:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,102 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,107:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,107 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,109:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,109 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,113:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,113 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:48:20,134:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:48:20,134 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:49:03,305 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:05,770 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:07,003 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:09,929 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:10,198 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:10,546 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:10,902 - MainProcess - Worker done\n",
-      "2025-07-08 18:49:13,031 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 8 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:49:32,543:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,543 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,544:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,544 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,547:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,547 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,548:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,548 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,549:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,549 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,549:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,549 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,549:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,549 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:49:32,555:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:49:32,555 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:50:21,298 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:22,353 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:22,730 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:23,140 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:24,829 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:25,268 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:26,256 - MainProcess - Worker done\n",
-      "2025-07-08 18:50:26,905 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 9 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:50:52,389:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,389 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,407:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,407 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,416:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,416 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,563:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,563 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,576:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,576 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,860:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,860 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,866:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,866 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:50:52,879:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:50:52,879 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:51:32,108 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:32,142 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:32,923 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:34,304 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:35,466 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:36,057 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:38,166 - MainProcess - Worker done\n",
-      "2025-07-08 18:51:38,992 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 10 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:52:05,563:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,563 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,565:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,565 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,565:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,565 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,568:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,568 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,583:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,583 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,584:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,584 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,610:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,610 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:52:05,648:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:52:05,648 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 18:52:44,992 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:45,445 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:45,993 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:47,403 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:47,430 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:48,730 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:50,092 - MainProcess - Worker done\n",
-      "2025-07-08 18:52:51,507 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 11 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 18:53:18,926:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,926 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,930:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,930:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,931:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,931 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,948:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,948 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,955:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,955 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:18,960:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:18,960 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 18:53:19,007:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 18:53:19,007 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 19:26:29,799 - MainProcess - Worker done\n",
-      "2025-07-08 19:26:30,279 - MainProcess - Worker done\n",
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-      "2025-07-08 19:41:42,308 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 12 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 19:55:25,290:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,290:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,290 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,290 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,290:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,290 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,291:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,291 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,291:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,291 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,297:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,297 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,302:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,302 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:55:25,387:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:55:25,387 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 19:56:00,835 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:03,694 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:04,685 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:05,902 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:06,088 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:06,790 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:06,840 - MainProcess - Worker done\n",
-      "2025-07-08 19:56:07,175 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 13 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 19:56:34,971:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,971 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,971:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,971 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,972:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,972 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,974:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,974 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,975:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,975 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,976:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,976 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,976:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,976 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 19:56:34,977:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 19:56:34,977 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 20:14:45,252 - MainProcess - Worker done\n",
-      "2025-07-08 20:14:46,555 - MainProcess - Worker done\n",
-      "2025-07-08 20:14:46,569 - MainProcess - Worker done\n",
-      "2025-07-08 20:30:12,348 - MainProcess - Worker done\n",
-      "2025-07-08 20:30:14,069 - MainProcess - Worker done\n",
-      "2025-07-08 20:30:14,467 - MainProcess - Worker done\n",
-      "2025-07-08 20:30:14,724 - MainProcess - Worker done\n",
-      "2025-07-08 20:30:15,967 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 14 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 21:09:56,413:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,413 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,416:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,416 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,416:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,416 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,418:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,418 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,418:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,418 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,420:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,420 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,433:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,433 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:09:56,449:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:09:56,449 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 21:10:34,760 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:35,152 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:35,969 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:36,096 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:36,238 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:36,524 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:36,536 - MainProcess - Worker done\n",
-      "2025-07-08 21:10:37,611 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 15 of 16\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "INFO:2025-07-08 21:11:08,055:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,055 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,057:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,057 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,059:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,059 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,069:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,069 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,079:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,079 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,084:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,084 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,093:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,093 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "INFO:2025-07-08 21:11:08,095:jax._src.xla_bridge:749: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "2025-07-08 21:11:08,095 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/Users/kdesoto/conda_envs/sp_stable/lib/libtpu.so' (no such file), '/Users/kdesoto/conda_envs/sp_stable/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file)\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "/Users/kdesoto/python_repos/sp-stable/superphot-plus/src/superphot_plus/samplers/numpyro_sampler.py:36: UserWarning: Found plate statements in guide but not model: {'base_params'}\n",
-      "  return elbo.loss(\n",
-      "2025-07-08 21:11:44,955 - MainProcess - Worker done\n",
-      "2025-07-08 21:11:45,385 - MainProcess - Worker done\n",
-      "2025-07-08 21:11:45,586 - MainProcess - Worker done\n",
-      "2025-07-08 21:11:46,612 - MainProcess - Worker done\n",
-      "2025-07-08 21:11:46,704 - MainProcess - Worker done\n",
-      "2025-07-08 21:40:41,936 - MainProcess - Worker done\n",
-      "2025-07-08 21:40:43,164 - MainProcess - Worker done\n",
-      "2025-07-08 21:40:43,871 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 16 of 16\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from snapi.scripts import fit_transient_group\n",
     "from snapi import TransientGroup, SamplerResultGroup\n",
@@ -3278,6 +206,7 @@
     "SAVE_DIR = os.path.join(p, \"data\", \"tutorial\")\n",
     "\n",
     "config = SuperphotConfig.from_file(\"config.yaml\")\n",
+    "priors = SuperphotPrior.load('priors/global_priors_hier_svi')\n",
     "\n",
     "#priors = generate_priors([\"ZTF_r\",\"ZTF_g\"])\n",
     "priors = SuperphotPrior.load(SAVE_DIR + \"/\" + \"global_priors_hier_svi\")\n",
@@ -3313,120 +242,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "id": "9e9646f8-e84d-4ebb-97e2-9896fbed67a1",
    "metadata": {
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['A_ZTF_r' 'beta_ZTF_r' 'gamma_ZTF_r' 't_0_ZTF_r' 'tau_rise_ZTF_r'\n",
-      " 'tau_fall_ZTF_r' 'extra_sigma_ZTF_r' 'A_ZTF_g' 'beta_ZTF_g' 'gamma_ZTF_g'\n",
-      " 't_0_ZTF_g' 'tau_rise_ZTF_g' 'tau_fall_ZTF_g' 'extra_sigma_ZTF_g'] ['A', 'beta', 'gamma', 't_0', 'tau_rise', 'tau_fall', 'extra_sigma']\n",
-      "8301         A_ZTF_r_median  beta_ZTF_r_median  gamma_ZTF_r_median  \\\n",
-      "id                                                              \n",
-      "2025ud        0.960758           0.004827           20.395489   \n",
-      "2025wl        0.973447           0.004554           21.217979   \n",
-      "2025xj        1.031060           0.004454           12.996695   \n",
-      "2025yd        0.901626           0.004677           15.295027   \n",
-      "2025yz        0.976006           0.004659           10.841784   \n",
-      "\n",
-      "        t_0_ZTF_r_median  tau_rise_ZTF_r_median  tau_fall_ZTF_r_median  \\\n",
-      "id                                                                       \n",
-      "2025ud         -9.162075               0.470403              70.178375   \n",
-      "2025wl         -8.152984               1.579078              24.053673   \n",
-      "2025xj         -5.542716               2.428830              27.623095   \n",
-      "2025yd         -9.496056               1.284293              29.139664   \n",
-      "2025yz        -12.808981               1.958069              22.230587   \n",
-      "\n",
-      "        extra_sigma_ZTF_r_median  A_ZTF_g_median  beta_ZTF_g_median  \\\n",
-      "id                                                                    \n",
-      "2025ud                  0.024606        1.037902           0.010196   \n",
-      "2025wl                  0.042309        1.019148           0.009715   \n",
-      "2025xj                  0.025258        1.187792           0.009489   \n",
-      "2025yd                  0.052601        1.076347           0.009275   \n",
-      "2025yz                  0.040939        1.064282           0.009630   \n",
-      "\n",
-      "        gamma_ZTF_g_median  t_0_ZTF_g_median  tau_rise_ZTF_g_median  \\\n",
-      "id                                                                    \n",
-      "2025ud           16.264721        -10.315643               0.405554   \n",
-      "2025wl           13.620641         -8.125338               1.088992   \n",
-      "2025xj           12.161982         -5.567756               2.726227   \n",
-      "2025yd           18.804642         -9.183842               1.202435   \n",
-      "2025yz           13.014791        -12.353151               2.260798   \n",
-      "\n",
-      "        tau_fall_ZTF_g_median  extra_sigma_ZTF_g_median  score_median  \\\n",
-      "id                                                                      \n",
-      "2025ud              33.100540                  0.013174      0.964598   \n",
-      "2025wl              13.947035                  0.020110      1.202485   \n",
-      "2025xj              12.048084                  0.012138      1.120755   \n",
-      "2025yd              13.195868                  0.026980      1.085242   \n",
-      "2025yz               9.592247                  0.020154      1.064042   \n",
-      "\n",
-      "              sampler  \n",
-      "id                     \n",
-      "2025ud  superphot_svi  \n",
-      "2025wl  superphot_svi  \n",
-      "2025xj  superphot_svi  \n",
-      "2025yd  superphot_svi  \n",
-      "2025yz  superphot_svi  \n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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11XjooYfw/PPP4+yzzz7g80imfsWKFXj11Vd7/LM5Cp+IiGjk4fGbIrFEJ8pMmDChQ3Avjj32WPW1qKhoGLaKiIiIiEYKluiMEPv27VNfx44d2+PHeL1elJaWqkmrUlNTYTKZepwJ6C8pI+ppKREREdFo5Xa71a0/BuK4TbGFJTojgJTsLFiwADt27FCBflpaWo9KdNoyGo1YunQp7rrrLhx66KHdXuIbCLfddhtuv/32AXkuIiKiWCXHyjvuuGNAnoslOhTGAH8E+PnPf44HHngAv//979W/e0K67uTn5yMlJUUF7qtXr8ZTTz0Fj8eD999/v9MgPxzgFxcX9/sDghl8IiKiocvg5+bmMsCnVgzwo5xk3G+++WZceOGF+Pvf/94hM98b7777rurOc+qpp+Jf//pXh/s5SIeIiGjk4fGbInGQbRS75ZZbVHB//vnn429/+1u/gntx9NFHIzk5Gdu2bRuwbSQiIiKi6MIAPwoFAgFcccUVuPPOO3HttdfiySefVANl+0vKcxwOhwryiYiIiCg2McCPMs3NzTj99NPxyCOP4P7771e3rjL3Muvt1q1bUVZW1m75Z599hsrKyg7rSx99n8+HU045ZdC2n4iIiIiGF9tkRplf/vKXeO2113DSSSfBZrPhr3/9a4d1zjvvPCQkJOBPf/qTGnl/wQUX4Iknnmi9/8UXX1QnCDLRlXTfkWEWMsh25cqVmD9/Pq655pohflVERERENFQY4EdhBl+8/vrr6taZ448/XgX4XTnrrLNQVVWFdevW4a233oLL5UJeXp6q5//Vr36FuLi4Qdt+IiIiIhpe7KJDrTgKn4iIaOTh8ZsisQafiIiIiCiGsESHOli0aFGnXXuuvPJKdSMiIqKh9/DDD6tbZzPeE7XFEh1qxUt8REREIw+P3xSJJTpERERERDGEAT4RERERUQxhgE9EREREFEMY4BMRERERxRAG+EREREREMYQBPhERERFRDGGAT0REREQUQxjgExERERHFEM5kSx1wJlsiIqLow5lsqac4ky214kx4REREIw+P3xSJJTpERERERDGEAT4RERERUQxhgE9EREREFEMY4BMRERERxRAG+EREREREMYQBPhERERFRDGGAT0REREQUQzjRFXXAia6IiIiiDye6op7iRFfUihNlEBERjTw8flMklugQEREREcUQBvhERERERDGEAT4RERERUQxhgE9EREREFEMY4BMRERERxRAG+EREREREMYQBPhERERFRDGGAT0REREQUQziTLXXAmWyJiIiiD2eypZ7iTLbUijPhERERjTw8flMklugQEREREcUQBvhERERERDGEAX6Uqa6uxk033YRDDjkEOTk5iIuLQ2FhIW688UZ16a2n6urq8NOf/hTjxo2DxWLBxIkT1fO6XK5B3X4iolgg1as+b6DDjVWtRDQSsAY/yrz77rs4/vjjccwxx+DQQw+F1WrFJ598gldffRUzZ87E2rVrVcDeHZ/Ph6VLl2L9+vW49NJLUVBQgDVr1uDZZ5/F9773Pbz88sudPo41fEREQdu/qkVNsafD8rRcMwoWpA7LNhF1hcdvisQuOlFmypQp2L59OyZNmtS67Be/+AWuvvpqPPTQQ3jllVdw9tlnd/sczz33nAroZaT9FVdc0bo8KysL999/vzphkJMHIiLqXEKKCfs3epCYmACT2QCvx4+mpiYkzDYN96YRER0QS3SizIQJE9oF92HHHnus+lpUVHTA55CTAKPRiAsvvLDd8ssuu0x9Xbly5YBtLxFRLMocb0faeANcLi/ik61wOb1IzTWo5URE0Y4B/gixb98+9XXs2LEHXHfDhg3Iy8tT9fuRVwekvEfuJyKirhmMeuQWxiOgc6G2woGA3qW+l+VERNGOJTojgExg8cgjj6iA/cQTTzzg+uXl5Zg+fXqH5TqdDqmpqer+A9Xy9ZecSBxorAARUTRLybIic1ILijc6kDvbpL4nGmhut1vd+mMgjtsUWxjgjwDXX389vvnmG/z+979HWlraAdeXTjmR2fswk8kEp9PZ7eNzc3PRX7fddhtuv/32fj8PEdFwkaTI+OmJ8HrqMX5aovqeaKDdc889uOOOO4Z7MyjGsItOlLvrrrtw8803q3r6v//97z06wNjtdsydOxeffvpph/uk9aZk8Tdt2tTlKPzi4uJ+j8JnBp+IRqKa0hbUVRw4m5qSZUFaTueJFKLhyOBLco5ddCiMGfwodsstt+DOO+/E+eefj7/97W89zh5Jtxzpgx9JzuVqa2s7Ld9pSz4c+AFBRKORBPdFa3ywxnXdLcfV4gUWgQE+DQgmxGgwMMCPQoFAQE1S9Ze//AXXXnutKs3pzaXhWbNm4fXXX1dn8pKRD5MyH8kSyP1ERNQ5Ce6z85K7vL+sqF5SJkO6TUREvcF2AFGmubkZp59+uhpUKz3r5dZVcC+z3m7duhVlZWXtlq9YsUINzH3hhRfaLX/++efV19NOO20QXwERERERDSdm8KPML3/5S7z22ms46aSTYLPZ8Ne//rXDOueddx4SEhLwpz/9SQ3MueCCC/DEE0+03v/DH/5QTYp11VVXYfPmzZg8eTK+/vprPPXUUzj55JNxxBFHDPGrIiIiIqKhwgA/CjP4Qkps5NaZ448/XgX4XTGbzXjvvfdw00034Z///KfK9Mvg2htuuAG33nrroG07EREREQ0/dtGhDl10OAqfiEarnevqUP6t7oA1+GNmaMiflzKk20bUFR6/KRJr8ImIiIiIYghLdPpIBrdOmzatR+tu2bLlgK0po8miRYtgMBg6LL/yyivVjYiIiIbeww8/rG6RpLEGUVss0emj5ORkPPPMM2rQandefPFF/OhHPxoR00jzEh8RjXZSotOTPvh5i4ws0aGoweM3RWIGv4+amppUu8nbb79dzTTbWS/766+/Hg8++OCwbB8REfWezFArk1h13+feGFyPiChKMcDvo3feeQfnnnsubrvtNqxfv161oIyLC85qWFlZiTPPPBMff/wxTCYT7rvvvuHeXCIi6gGZnZYz1BLRSMcAv4+OOuooFdifffbZWLlyJbZv345//etfKC8vxw9+8AOUlpZi4sSJqkRnwYIFw725RERERDRKsItOP2RnZ+ODDz5Qk1N9++23KpA/8sgjVXD//e9/H+vWrWNwT0RERERDigF+P+n1elWDv3DhQtTX18Pr9aqJqGSCKQ50ISIiIqKhxgC/nzZu3KiC+7Vr1yIrK0tl9d9++21Vnx+elZaIiIiIaKgwwO+Hxx57DIsXL1b190uWLMHXX3+tAv2lS5fihRdeUOU5cgJARERERDRUGOD30f/8z//gxz/+MZxOJ372s59h1apVKns/ZswYVZcvE0JJ4C8nAI8++uhwby4RERERjRKc6KoftffSFlOC93POOafTdaR15uWXXw6PxwOfz4eRMlFGQUEBZ7IlIiIaQTPZSlKRE11RGAP8Ppo6dSpeeeUVFBYWdruedNKRjjq7d+9GtONMeERERCMPj98UiX3w+0hq7RMSEg643rx589S6RERERERDgTX4fdST4D4sNTV1ULeFiIiIiCiMAT4RERERUQxhiU4fmc3mHq+r0+ngdrsHdXuIiIiIiAQD/D4aCV1xiIiIiGj0YYDfR3v27DngCcCxxx6r2k2+8847Q7ZdRERERDS6McDvowkTJhxwnd/97nc444wz8PnnnyMvL29ItouIiIiIRjcOsh1Ep59+OnJzc/HYY48N96YQERER0SjBDP4gmzFjBj777DOMJIsWLeJMtkRE3ZA5IgOdjMXSG42qsQLRUM9kS9QWZ7IdZIsXL8Y333wDp9OJaMeZ8IiIeqbs44/RvHNnh+X2/HxkL1s2LNtEoxeP3xSJJTqDxOVyqbPs1atXY+rUqcO9OURENICsGRnwV1cjzutFgl6vvvpratRyIqLhxhKdPiooKOjyPq/Xi4qKCtX7Xi7VXnXVVUO6bURENLiS8vPROHUqPLt3Iy07GzU7d8JaUKCWExENNwb4fbSzk0uzkZKTk3HTTTfh4osvHpJtIiKioSG19mnz56OsuBiNpaXwms3Inj9fLSciGm78JOqjDz74oMv79Ho9UlJSMG3aNBj5YU9EFJPsY8cirrAQTZ99hsRDDlHfExFFA0affXT44YcP9yYQEdEwkhLM9Hnz4He5kDZ3LrvnEFHU4CBbIiKiPnBWVaGpqAjmlBT11VldPdybRESkMINPRETUC35ppPDZZ2jevBk6h0PNGyJ9yOvi42EvLETW0qUwmEzDvZlENIoxwB+ArjkHIpdtt23bNqDbQ0REQ0+mjpHg3rF6NVKys2EdN671PldDA+pWr1b/zmEZJxENIwb4A9g1pysjrS6TM9kSEXXOVV2tMvcquE9KaneffJ8CoH7zZjhnzIAtPX3YtpNiE2eypZ7iTLY99OGHH8b8oFzOhEdE1L3q9etR/9//ImvatC7Xqdi6FcnHHIP0uXOHdNto9OLxmyIxg99D33zzDSZPnoyTTjppuDeFiIiGic/l6vQKZ1tyv6xHRDRc2EWnh6655ho89thjnd732muvYc2aNUO+TURENLSMVusByyHkflmPiGi4MMAfAKeddhp+85vfDMpzn3DCCTjiiCP6VPff1W3hwoWDsq1ERLFOJrPS4uPVgNrOyHK5395m8C0R0VBjic4AGcihDNXV1di3bx+ef/55vPXWW32u358zZw4uv/zyDsszMzMHYCuJiEYfa3q6aoUp3XJkQG3bgbaqi05ZGeIPOogDbIloWDHAj0LXXXcdnnzyyX4/T15eXqcBPhER9Y1cBZU+9wh1y9GVlbX2wZfMvQT34fuJiIYLA/wodO211+KMM85Q/z777LOHe3OIiKgNmcRK+txLK8zm/fvVgFqpuZeyHGbuiSgaMMCPQlJaIzdhNPb9V+T1elFaWqqyS6mpqTD1cGZFabfVXxaLRd2IiGKVBPMM6Km/3G63uvXHQBy3KbYwwI9hb7zxBsaOHdt6orB06VLcddddOPTQQ7t9XG5ubr9/9m233Ybbb7+9389DREQUy+655x7ccccdw70ZFGMY4PdCbW0tPvvss17fJyS4Hkq/+tWvkJ+fj5SUFHVmv3r1ajz11FNYvnw53n///W6D/OLi4n5PlMHsPRER0YHdeOON+PnPf96v55Dj/EAk5yh2cCbbHtLr9WpwVV/I43w+X58em5ycjLlz52LVqlXor3fffRfHHHMMTj31VPzrX//qcD9nwiMiIhp5ePymSMzg99D48eP7HOBHi6OPPlqdMGzbtm24N4WIiIiIBgkD/B4qKirCSOfxeOBwODB16tTh3hQiIiIiGiScyXYEkwmxtm7dirKysnbLZSxAZWVlh/UfeughVSp0yimnDOFWEhEREdFQYgY/Cq1du7b1ioG0uqyqqsJLL72kvl+0aBEmTJig/v2nP/1Jjby/4IIL8MQTT7Q+/sUXX8QjjzyCFStWYMGCBWqWXRlku3LlSsyfPx/XXHPNML0yIiIiIhpsDPCjkATubWey3bx5M37wgx+ofz/++OO48MILu338WWedpU4K1q1bh7feegsul0vNanvzzTer7jpxcXGD/hqIiIiIaHiwiw614ih8IiKikYfHb4rEGnwiIiIiohjCEh3qQOr8DQZDh+VXXnmluhEREdHQe/jhh9Utkt/vH5btoejFEh1qxUt8REREIw+P3xSJJTpERERERDGEAT4RERERUQxhgE9EREREFEMY4BMRERERxRAG+EREREREMYQBPhERERFRDGGAT0REREQUQxjgExERERHFEM5kSx1wJlsiIqLow5lsqac4ky214kx4REREIw+P3xSJJTpERERERDGEAT4RERERUQxhgE9EREREFEMY4BMRERERxRAG+EREREREMYQBPhERERFRDGGAT0REREQUQxjgExERERHFEM5kSx1wJlsiIqLow5lsqac4ky214kx4REREIw+P3xSJJTpERERERDGEAT4RERERUQxhDT4R0SimBQLwOZ0IeL0I+HzQ5KZp0Ol0QOimNxphMJuhN5nUTadnboiIKJoxwCciGiX8bjec1dXwNDSom9fhgK+lpd06PQneDTYb0mbORNyYMYO4tURE1FcM8ImIYpinuRm1mzahac8eOCsr4XO5EPB4oPn9CEjnjcg+C5Kx1+uhMxqhMxhU9l5l7kMZfKPFApPfj8qvvsK4o46C0WodrpdGRERdYIBPRBRjpOSmdutWVK1dC0dxcYcgXspyAm63+ioBvWTt1RryvZDSHHlM6H51n6YFS3cA2DIzkVJYiMZdu5A6Y8ZwvEQiIuoGA3wiohjhqqlB9caNqF67Fu6GhvZ19i0t6qsE85KZN8XHw2CxBEtyJKBXK2pqHcnud5Xhlzp9x/79sGZkqIx+Un6+eh4iIooeDPCpA050RTSyeBobUbNhA2o2bkRzWVlrUO6XchyfD6akJCQVFMCanAy91QqDsZuP/lBGPxz0+z0eVbsvZT3epiY0l5aqzH7Tvn2Iy8xEg2TxCwuH6qUSjWqc6Ip6ihNdUStOlEE0ski2vW7rVtRu3oyGHTtaB8xKUC73WdPSYElOVv+WIF0NqnW5VAZfuuKYExJgTk6GOSkJcVlZqvRG/m2Mi1MnAeGMf/gwUb99O4r/+1+4qqrgrqlB5sEHw56djXFHH62ej4iGB4/fFIkZfCKiEcjb3IxKqbHfuxcNu3erAN7X3KyWqwGyOh0ad+9WZTuyXLLuarlk76UUJ1SCo8pxpNY+XI8vA2tlIK3NBktKCizp6bCPGYPESZNU4C+BvWPfPvVzJOC3paern5Mybdpw7xIiIgphgE9ENMJI0F65Zg2aS0pQt20bXLW18Dud8DgcqizHXVensvVCdcAxGoN97qUOP1xb37YcJ9QeU/3b5wtm+xsb0VJeHlxPr4c5MRH2nBzoDQZ4mprU88g2xOflqQ47iZMnw2AyDds+ISKi7zDAJyIaQVoqKlTmvnHPHlSvX68CeQm4pWxGvkp3HL/Pp7rdSP29qsOX4F6CesnSh7rhqLKbcIVm+Gu4e478M9wmM3SC4KquhrOqKliKI1cDTCb1/LtffBHZy5ap7chcuBAJeXnBSbKIiGjYMMCPcieccAKcTidWrVrVq8fV1dXhlltuwauvvoqqqirk5OTg3HPPVcus7FtNNKKD+5pvv0XNunXwulxoLi5WGf3wYFhVcuPzBQN6ydaH2122HW7V1dCrNss1r1fdAk5nMPDX69UVArPdrkp49KHgv7GoCKaEBDUIV04EpNwnafLkIdgbRETUFQb4Uai6uhr79u3D888/j7feeguHH354rx7v8/lw3HHHYf369bj00ktRUFCANWvW4O6778bWrVvx8ssvD9q2E9HgkDKcii+/VFl76Zjjqq9H0+7dakZaCeYlwJYgXGtbVy/aZupD/F22VvjuDoNcAwgn4kPPoXk8cAOQ4bR+TQuW/shA323bVJlO/PjxMFitiM/N5aBbIqJhxAA/Cl133XV48skn+/z45557TgX00krriiuuaF2elZWF+++/H5988gkOPfTQAdpaIhps3pYWVHzxBarWrUPNN9/AUVKi2lNK+Y0K5EMBvAT5unD5TbhMJjQbrfSql6A7ACPqq3ww6q1SoA8NJmg6PTQdEDwl0BDwuxAXr0PA54XmD0ALSIDvD9bsBzR43SZYEhNgNOpg8Dci4HLBWVGBus2bETdmjBp8mzZz5nDuMiKiUY0BfhS69tprccYZZ6h/n3322b1+/CuvvAKj0YgLL7yw3fLLLrtMBfgrV65kgE80Qkh2vvzzz1H59dcquK/ZsgUtJSXBjH045x6um5f/6PXB8hm5Wa0wWq3Qmy3wwwJvwAyPzwpnnB4wJkPTJ0CDQQXuAZ1R/VuCfW/AC2+6DTrNp1pvSq295pOBuTKTrabOHUzQw6QHLBYfrI7tMNY7VDef5KlT1YlE4sSJMNntw7rviIhGKwb4UWjOnDnqJiRQ760NGzYgLy8PcXFx7ZZPmTIFFotF3X+gfrr9JT9HbjSwJDMrwVYkydByYGNsqt20SXWrqV63DpXr18NVUaFq7Nv+TagOOOHgXrL1cXHQDGa4A/Fw+BPhdKYioLfBp7fCrcXDFR+PgCEeAb0ZAZ1JRtS2BveAXp00OLzB7D+swdltgycRAejkJ0k2X6+DQeeDGV7o4ubB2lKLzCoHvJ/vxdTkbNWbP2vRouHcdUQjgtvtVrf+GIjjNsUWBvgxqLy8HNOnT++wXALA1NRUdX93cnNz+70Nt912G26//fZ+Pw+1V/7JJ2jeubPDcnt+vupkQrFFZqXd//77qN+yBRVr1sBdXd3a4lIF3aHBr63BvckEnzEJDYFstBjGw2VMhceYBbchCX6dHQGdBZrOgICmh04F8yofH879t+MLL9JpgD5cxx+86TQJ9H0S2sMT8MGo88Cjj4e72QPnHge0NTWYHLAgaVKNmmyLiLp2zz334I477hjuzaAYwwA/Brlcrg7Z+zCTyaS68nSnuLi43zPhMXs/OKwZGWj84gskJCWpmmrpmtLU2AjrkiXDvWk0wPxeL4rfegsNO3ei+IMPVBtMGTwrVI29BPRt1ncb01BvWwiHZQrc+iy4jckI6KytWXnJvAfUI4KDZ9sU9YS0D/K18CKtTaAvVfqqvl+q9U3Qa15Vwx+AGXq9DQGfExWOBGibmmFIdMP31gbMO+twGIxtt5SI2rrxxhvx85//vN8Z/IFIzlHsYIAfg6QNpj88kU0Er9eLhISEbh8vwT2nuo5OSfn5aJw6FZ7du5GWnY2anTthLShQyym2SN291NvvfeutYHAvdfByh2TuDYbWwbQeYxoqko+DwzYTHn0y/Pq4YNmNBPN6CebDmfo2Ov94aM8Q8b1fon196DwgGOyrn6N5VYJfavj9OiO8Hj/2VyfA/3UL/JoFxne2Y/oR+bDE8XBD1BmWtNJg4CduDJJuOdIHP5IEA7W1tZ2W79DIIPXVafPno6y4GI2lpfCazcieP18tp9jRXF6OkvffR/F//wtneXkwuA+3u5RONpoGt86C6qSTUJe4GD6DBPY2lU0PBvWRZTcdovVgfX1nAv623TLbP0XriYE8d+jxOj0C8EMPDzQY4ZflvgBK9hvhhRdu3x5oliRMnJ2C5AzOwUFENBQYFcSgWbNm4fXXX0dDQwOSkpJal3/zzTdqII/cTyOXfexYxBUWoumzz5B4yCHqe4odEsjvfeMNlH3xBRp37VKz0LbtaS8lNw3mGShN/z485rHw6+0qsIYhHNSHA/suAnh1Vzf36Ts5GehW8AqBlP/o4VbnBj6/HFo0VJcH4HL74DfugtczEWPzE5E9OR56OQkhIqJBw8LIET4hlkxcVVZW1m75ihUrVInOCy+80G65TJwlTjvttCHdThpYMlg6fd48xM2fj7S5c9k9J8bUbNyIso8+QvXata0z0yqBAHz6OJQmn4F9WZfCZZkEnz4Rmkw7ZQjW2X8X4HcTwIcS/Hqp4DECRhNgtOhgtOpgtulhtuqDX+OCX40mg3p6ydPDICca3w22bfekag1rqM+ODz4Y4HH54Wj04ZuP67D+/VLs+qYWu9bXwevuSY0QERH1FTP4UWjt2rUoKipqrZmvqqrCSy+9pL5ftGgRJkyYoP79pz/9SY28v+CCC/DEE0+0Pv6HP/whHnroIVx11VXYvHkzJk+ejK+//hpPPfUUTj75ZBxxxBHD9MpoIDirqtBcUgJzSgqaiooQGDcOtvT04d4sGqCBtbtefhklH30Er8MRbIcZKs1xmcegNPVMNNlnw2+IjyjHCYsI7MOBvEEHk1kPi92AuHgTzDYjTFZDMJOuyn6C8br6UQGp7QcC6j+Az+2Gp8kBT7MXnmYnZFit12cN1fnLz2tttxO62eCX8N7vQsBghscl3X4C2PZFJRx1PhQuzYCzyYuJs5ORkMK6YyKiwcAAPwpJ4N52JlsJ0n/wgx+ofz/++OMdJrCKZDab8d577+Gmm27CP//5T5Xpz8nJwQ033IBbb7110LefBi/4q/jsMzRv3gydwwGDwaCu1NTFx8NeWIispUthMEnQRSNV6UcfYf+776qTONUOMxTcOyx5KE07Cy1x01RJDlpLctBpcC+ZeZNFD3uiEWPyEpE2Ng7xSSYV6BtMOjXg1Z5oRkKKGfZkE6zxJlhsepgsBhhl9qpQKb7fF4DfG0DZl1+hfs8+VH27G8Uby7G/PgfN+rHw6uKh6Yyhnx2+ICzbJbX4cdJEEzq/D16PHpoWQMnOBjjqPJi6OB2uZh8mFCYhc4KdV6GIiAaYTlMjt4iCbbakZl9q99lFJ7rI21TKNhyrVyMlOxvWNmMrXA0NqCsrQ/xBByHn8MOHdTup77xOJz687DLVNcdTX9+avW+y5qMs7Uy02CS4twWD6S6Ce6MFiEswI31cHHImJyAxzaICdlu8EYnpVmRNsCM1ywp7khlGc88rNN0NDervr27rVtWPv2rLHuyonYZqy0HwGlOh6UzBcQBK2+cNQGfwwajXQWeUEwwDzHYzbHYj8mYmYcrCdOQWJKpAX04uiKhvePymSMzgE40ArupqlbmPDO6FfJ8CoH7zZjhnzGC5zgi159VXVfDctjSnxZyHipTT0WKbGgruJXMf+UiDytjbE01Iy7Ehd1qSCuztSSYkplmRMyleZfDl+75myi1JSYifMAE+pxOuujo4KyowqfFjWBv3otx+HFzmXAT0llCQH2hTriOZexO8gQDMWgBawAB3i0cNGt7xdR0aqj1orvPA0eDBpFkparuJiKj/GOBTB1LnL+Ufka688kp1o6EnNfdSlmMdN67T+yXI15WVoXn/fgb4I5DH4cDWJ55AS3m56pqjau6NWShPORUOe6Hqbd9VcC8DYZMzLMidnoSs8XYVJKeOsSEnPwEZ4+y9ytR3J2XaNLTIlaJx45A0eTI8jY3IcnwLS00JypNWoCmuMDRbrhxW2gz6DehU1x6PV4PRKO00DfC4A/D5fSjf7YCj3oO6KiecjV5MKEzGmEnsskPUlYcffljdInU19w2NXgzwqYM1a9bwEl+U8blcnZ50tSX3y3o08mx98knUbdsGv8wy7fOpbjkVKSejyT4Tfn18p8G9Tm9Qg2azJ8RjwsxkpGXbkDbWhpzJicieGD9ggX2YwWxG6owZKovvnDBBnXTKiUl8RQVyax9HledY1CYug8eQEirZwXdBvsQeBp28NDUpllEfUIl+t0uDvyqATR9Xob7SDUe9F421bkycmcyJsYg60VWiLVyiQxTGT1CiEcDYzezEYXK/rEcji5S87Hz+eXjq6hDweFSbyarkY9BknwOfMbnL4N6WYFS16+OnJana+oxcO8ZPT0J8snnQtlWy947iYiRNnAhPQwOcNTXwNjZC8zUhu+nfsHmLUZl8ElpM4ZKdcJedcAtPGbzrh8cpVx4CMOj1aubbgF9D0cZ6NFa5UV/lRFOtB/nzUpCSJWVJRETUWwzwiUYAmcxKuuXIgNrIGnwhyzXpptNFCQ9Fr28ffRSNe/cGr75oGhrjFqDBvhBuUyagWmG2X1+nMyAuwYgpC9IwdkoCxuYnICsvHrlTE2EwDv7UJmmzZ8NVW6v+1qRUx9fSEuzX73Qi1fU1rNXlKE86BU1xM+HTJyCggnwN8LcdHBwM8o3mAPTSZF/TEAj4ULnfgeZGL2rLnWiqc2PS7BSMK0hs7exDREQ9wwCfaASwpqerVph10kUnVHPfWRcd1t+37zzk93VsEmYw6qKmLWNLZaUaXCv17JrHA7cxA9XJR8JpGQ/oQgNOde2De2u8AVMWpmH81ESMLUhUGfzM8dI6c2iY7HYkT5kCv8uluv00l5XB29ys2rhKDU6ctwTj655Bpedw1CYeBrch47uSnYA05f8uWPd5pEd/QJUTqVb8bg2OOhd2rPWhvtKFBsnoV7gweW4KElI5AJeIqKcY4BONABKQSp97hLrlyIDacB98ydxLcB++n4KkS0tNsafD8rRcMwoWpCIabHvqKTj27lW19wHoUZV0FJot+Qiouvv281bJOYkMqC1YmI4J05NUt5y8GUnDUsaSlJ+vavATJkxA6syZcDc2qiBfOgBJNt7gdyDb8TbivMWoSj4BDvMk+HU2ddIVnAFXXpgqzFf99mXQrQwx0RuD9frOZh9KdzlUqU5teQsaatyYPCdFtf6UXv5ERNQ9BvhEI4RMYiV97qUVpnTLkZIOqbmXUglm7jtKSDFh/0YPEhMTYDIbVK13U1MTEmZHx2RgjtJS7Pn3v+FtaoLm9aIpbg4ccbPhM8nJh75D3b30kJ80JxXjpyUid2qSKl9JSh+erLZOr1elOp6mJiTKgNviYvhbWtQYApn5Vi9nI5ofya6NsNZWoirpONRZ58GrT4bmN0JTry1UuqM67QB+GXcb0KAzyfS7mvp9NVS5sPXLatSVSTbfhdoyp8rmSx9/IiLqGgN8ohFGgnkG9AcmZSuV411oKvciJdOOsr31SM01DGk5S1ckk73nlVfQuHOnmuBKuuZUJy1HszknWHcv2o2p1uDX/EjPsWF8YRLyZiUPW3AfZk1LUxl8KdWRibBk9l1fczMCPh+00IBwORGweiowrnElbO59qE44Ek5jDgKwySsKddr57kxGk2x+QOryg6VUcldLkw/7djSgodaN6pIW1FW61BUYGXfAdppERJ1jgE9EMUkGnOYWxmNTRQNqKxwI6F3ILUxqNxBVAm0JSCPpjcZBrdOX8pai//xHtZmUuvXaxCPRbMkDDAmdrq83WBCAH1kT7ao8JyUzOrolpRQWwllZGSzVmTVLXY2QK0tSqiPBvUxoJV91nmZk6r6AtbYYVUknoMk8FV5jCnS6gArytWBKPzjeQAMCMs9XQIPBqKlBuAFXAHUVTjgdXtSUtqh/T56dgsnzUhGXEB1XZIiIogkDfOqAE11RrEjJsiJzUguKNzqQO9ukvm+r/JNP0LxzZ4fH2fPzkb1s2aBsk5xU7F+1CrVbtqgONG5DGuoTlsBrlK45kS1zQv3u9clwBmqQPjYOaTky6VX0lI2lz52reuNLR51w6Zjf41E3dYoUCKgBBDKBV5JxP2x1z6I64XDUxS2Gy5yNAMzQ9NI+87uKHfmqBUKDcI2B0LjcAFoavSje1qgG31YVN6OmzIkpC1KRPZG1+TQ6cKIr6ikG+NQBJ7qiWCFZ+PHTE+H11Kva9cisvDUjA41ffIGEpCQYLBbV7rGpsRHWJUsGbZtkttp9r78Od21tMHufchicUpqj7yQrrzfAqk+FzZgIp6cGGeOiJ7gPs2VktCvVcVVXq7Ijrb4empTr6HTBQN/vR0Cng1HnwJjmd2H3FaM29Tg0mSbDo9mhNxrgl8A+HKe0year5juaBqMB8MKvynRkIG5NiRPVpS3In5uK/HmpgzoHAFE04ERX1FMM8IkopgRLONztltnijaorS1spWRak5OejcepUeHbvRlp2Nmp27oS1oEB1iRksFatXo/STT1S9utM0Bg3xC+EzSvPTCHo9TDDDZkqG2RAHeIInLNEoXKqTNGkSnHPmqI46ASnVaWlpvWoh2y6TXMmMuJq7Bcn6rYirrYJj/Omo0qbDGUgGvAZopmDSXwX6oSBfBuHKMo9fg1GOWgYNziYvSnY1qplvq/Y1o6q4BQULU1Xf/KGYD4CIKJoxwCeimCLBfdEaH6xxXddmu1q8wCKocpe0+fNRVlyMxtJSeM1mZM+fr2rwB8Pmv/8dH191FfzNzer7mtTlcJkyAF3HzLMExDZTOmyGZBj00Z2ZllKdtDlzVKlOSkEBWkpKVEZfeuOHS3VUkC+xus+n9m/A7YZZq0Z62YtILzwJJb75qHdlQHaN3qRDQC/zGIR+QJtA3+cFdP5gW015RumuIwNxq0udqNzXrEp2pi5KH/ZByEREw4kBPhHFHAnus/OSu7y/rKg+FDEGZwmOKyxE02efIfGQQ9T3g2HXypVYdcklrd+7TFloipsFf2fZe4MBViTAZkyF1ZSIQGvdSvSKy8wMlurIhF319cFSHZertVRH6vBViX0gOLBWrlBIRh/NDbDv/wCF09yosS9DcXkKGuo1eDQ9dGYNfr8GzdcmyA+V8cgcZvqADMLVoDm9KN/jV33zK/c5UFHUjIJFqZg4MwVma8fxREREsY4BPhGNapIpT583T2Wc0+bOHZQyGAlkP/nZzyBV9t5QB8yaxCPgUgNrO34MS0hqNCWobfEHfPAGghn/aCeTXrlqalSJk7umJliq43YHJ8ASEtyHuusYJYvv9arvWyoqYE7bhgnxAeQedgI2f2tBRaUejkYp7QmobL4Mwu2sbEcG40rHHRmM21TnDnbaKXOhvMiBsl0OTDs4XbVGZUtNIhpNGOAT0agm/dulbaU5JQVNRUUIDMLEYWUff4zm0lJIE0wXAI8hGY32+QgYOxvMHlCTPjV5S9WtLWtcdH9ky2RcGfPnq+5AKdOno7m8XE1+JYG8dNeRlpky062E2l6PB0aTSd0PsxmNu3bBlpaGxNrPceSxh2PzRh/2liWgqsQNt8MHnQT5cpMzJLTvtiP7SzL9RqMGr6ap2W+bGzyoLG5GuWTzF6SiYGEaB+ES0agR3UcLIqJBIrXgpR9+iObNm6FzOFRrWGk1VxcfD3thIbKWLlW15QOhae9e9dUZ+r468Ui4jOkdP4INQHK6BfOOHqcyzxm59nbBvUzuFO0syclImTZN1d9nzJunSnWkbCdQU6MCfbkqIfX4MtutXNlQ38sJQEsLajdtgsluh71mOw4+ZCrGlrqwqyQdRd82or7CDZ/mh9ESDOZVfX44m4/v6vOldkf652sBL0p3NqG+yo2yPU0o2dmEwsXpmFCYDKOZg3CJKLYxwCeiUUeDhtqNG4Car5GSnQ3ruHGt97kaGlC3erX6d87hhw/MDwyV/UhM6tPZ0JBwUKfZe5MxgMnzMzB3+RgULskcsb3dEydPRktlJQJTp8JdVwdPU1OwjWZjY6iuRgu2z5R/G43BmW/9flXeU7dtG3QmE6zp6ZiYl4acfA8mFI7Hhg+rULa7Cc2NXhXXG2UQbmTZTugmwb8q2/H74ahzY/c3HlTvb0HZzibkz0/FjKUZyGDZDhHFMAb4RDTqSItKX0kRUgqyYY3oHS3fy7DX+s2b4Zwxo9/lOqo1pM0WDPKlfCR+KdzGjE4+fv1IzbEjf34acqcmjdjgXkhWXrL33sZGpM6YAWd1NSpDE2BJpl7NXOX3QzMYVFZfSnUk4x++2mFNS0P5559j/LHHwoIazF+UgQkzpmDt22XYua4WNaVOuJ3+YJAvZTuRkxGH6vMDOhmIG4AW0KG2rAWOOg/K9jpQsqNRlexMX5yOxLTomBWYiGggMcCnDjiTLcU6mZDJ2tICa5IMcu1IgnxdWZmambW/Ab7U90t9uXTG8fv8qEs6FH5DZKmNBpMFyJudjomzkpGUMfKDTqPNpma5laA+ffZsFeSrtpk+n6q7V/X4gYCq25fSKL101ZFuOy4XajZtgiUpCZWrVyP70EPRtGsbchcvxpjLCrDpkwps+LAS+7Y2orFa5jvwq5aZgXDZDtqU7YQnyvJLtx3J6vtQsceBxioXSnc1Ye/WBhQuzsCUeamwRPn4BiLBmWypp/iJRh1wJlsa6aTPfbAVZuecTS7YOzmJbUtOcmVgaH817t6N4nffVbPWOuLmwiWz1kb0vdcZpCe/HVMXZmDclNh578WNGaM66kjg7mlshLe+XmXsZRbf1nr8QEAF+yoml+99PviamlC5bp2aXbh++3YkFxSgau1aZB92GA4+aZy6wrF+VQW2ra5C2Z5mNemVpkk/fqm9Dwb17erz2wb6Rg2BRi/2bWlEdYkTpTuaULSxDoVLMzF+ehKMJtbnU/TiTLbUUwzwiSimyAy1MonVd9FdRzazD/i2/Wy3nWXEjNb+ZdKlH3z9zp2oXLtWfV+dtBw+gwTwofKb0DmGyWrExDkZmDw3Bbb4gRnYGy1kwK3U4afNnKmunMjstprbDXdTU6iOJtgXX2X0w2X0fj/cVVWo27IFepMJlrQ01WEnnNHPnZaE9Fw7JhQmYcNHldj9TZ0q2/E4fdD00iA/2Dtfgv4Ogb5Xgn0NAaMfTXUB7Pzaq/rm793SiCnzUzFrWaYazMz6fCIayRjgE1FMUbPT5sR1u45z3CTsr/laDaiNrMEXslyTbjptBt/2hdSTl3/xBXyNjWgx5cBhnfRd9j4U3Ov0BqSkGzHtoHSMGQFdcnpLAveMBQtUT3xpoSnZ+0q3Gz4p15F6fBmbEArypSd+uLuOfN+4Zw/MycnQf/EFxh11lHq+6vXr1fPZ7EZMnWvDe0cdCS1uLiacdDVqGu1orHID3gBg1hAIaPB7I4J8hAbiemUwrvTX96Ou0glHvRtlu5pQ9G09pi1Kx/QlGUgfaxuUeRGIiAYbA3wiGnWkQ4u0wpRuOTKgtm2Qr7rolJUh/qCD+lV/L/XmUl6y/513VCq5Juko+A0yu277EhDpxDlxTjomz0+N2faNciVEgnupvc9ctAiehgZVtuP0++F3u4NBtNTjSx2+psEgpTpyn9Tjb9yo6vHLPv0UY488Ei1lZWjYsUPV6X961VWw+GqQ3vgBWlbugTXnMMTNWoHGlng46j1qtK3e0kV9fieBfk1ZCxpq3GoQ7q4NtZh2UAYKl2QgKd0yTHuOiKhvGOAT0agjAaX0uUeoW44MqA33wZfMvQT34fv7Sgbo1nz7rRpk69VZ0WCfA01vbZ+91xmQlKrHtMWZyGzT8z4WycmSlOtI4O456CBVky9BvvTJV/X4obkJZNBtIPQ7kqDb53CgYvVq5MTFoeqrr5C1aBG2PP441v3mN0gDUADAjgCa3buxa1859lV+g8nn3Yp6VwYq9jrgbA5G9jLIVgXykR13IgJ9GQRcua8ZdZUuFG9pwPavalSQX7gkHfZETpRFRCMDA3wiGhIyuZEEUJEMRt2wlEHIJFbS515aYUowLgNqJdNsH6CZbBt27cLuV19Vmem6hIPhMUlrzPYDe41GYPzMNNWy0WCMzex9WzLgNhzYe5ua4HM6gwNw6+rUV1VJI5NfyY5RBfSy+wKqhr/iyy9V8G9OSsKWRx9VswJPAxAOueUazDx/C4wt69H01k049I9vYNf6BuzdVI/qUH0+TFIyFBqI6+8mo68y/j6U7XGgpsyFfZvrsfWLasxcloGpi9IRlxBb4ySIKPYwwCeiIbHj6zrUFEvZRHtpuWYULEjFcJFgfiAC+rZkwqba7dtRv2ULNOhRn3AINH1oXEBrjG+APUmHmYeNQca42M7et5U2Z46qx89cuFANtJUSHZnJVibDUhNeCQn2ZQIs+bcmWXcfnOXlqFq/Xk2gJfs3R8Y4hAL78IFMThAmaBq+3rcZufG7Men8RdjyZTV2b6jF3s2NqK90wusOQDNIK/5AcIyvP1Si3zbQDwD+QDij70XpLh9qSl3Yu6Ue335WhVmHZqqTslgbEE1EsYMBPhENiYQUE/Zv9CAxMQEmswFejx9NTU1ImB17QZIMrt39yivQPB60GMej2Tqxw8etQbL301JUnfdIntSqtyQLL3X4ZS4XcpYsUZNhSW2+BPEyAZlc6VEz3UqwbzCEgm9NnQg0FRUFJ8oK7U01EDcU5IfPm8KnSq6KcuQuj0f6uDjkzUjCtjU12Lu5HsXSP7/GDa9HsvmhQF9mxJW6oG5q9P0+D0p2eFG934miTQ2YOLMSM5ZlYeqCVAb6RBR1GOAT0ZDIHG9H5XgXmsq9SMm0o2xvPVJzDWp5LJFAtHbrVlR+/rn6vjr5SAQMUlDSdnytATY7MOuIbKSP7b7jTyySUigV5Hs8yFm2TAXtUm+vBt26XMEYW/rjSx1+qLOO9Mv3O51qkK2olb+p0PNJJj8xtHubQ8visrODP8ukx8RZKcielIA9G+uwa10d9m5tRMm2BjTVeeRiQWgSLA0+X7B8p9tA3+vB/u1eVBU3Y/c39dg4KwmzJNBflA5bPA+pRBQd+GlEHXAmWxoMUmOeWxiPTRUNqK1wIKB3IbcwKeZqzx3FxSj697/hb26Gz5CABvt8QBfK8IYS9ZI5HjMxETMOyRy1/dYtycnImDdPBfLZhxyi6vEla99SVaWufKjMfahUJ6DTBYN8KdfxelVrzXpNg/S2kb5EvlCQL6dRe3U6JIwbh+xly9r9PKvdiOmLMzChMFkNnC3aFK+y+fu3N6K50Qu/PwCj/C4OFOj7woG+FyUtjagqacHOdXVqBmLpoT/tYA7GpcHDmWyppxjgUwecyZYGS0qWFZmTWlC80YHc2Sb1fSyRALRu1y7se/tt9X1d3Fx4TdLrpe1JjAFWG0Zd7X1n7Dk5wcA+EFCDnANSjx8IwFlVFQzkZYZbvx96CfJlL8pkWJqmgn7po18BQNrcp4Uy9zulZEfTcNyDD6pSoM7EJZow98gxmDQ7WZXt7NsSj/3bm1CyswktbQJ9yehLe81OB+PKBQZ/sP2mbIezWUp3mrH1y2qMmWhH/vw0TJqZDHtyMNC3xhnV5FlE/cWZbKmnGOAT0ZCRkovx0xPh9dRj/LTEmJtESAZ/7nntNXjr6xHQmVGTdAwQ0RpTpGbbMPfI7FFVe9+VpMmTg2U5mqaCfcmMS5Av+1IF+SqY9gfbZ0pwLzcJ9M1mFVxXahoqQ88lg6UXX389Jp1++gF/bmKaFQuPy8HkuanYtqYapTubULytAaW7mlWgH/AHgq01pTTH2/WsyJLpl5vLG4Cr2YmqYic2flTdYb273ziSQT4RDRkG+EQ0qGpKW1BX4W63TGqVS3c52i1LybIccAbaaNdYVIQiaY2paWg2j0WLdXxEa0wDTGag8JAxyJnMYC8spbBQZfCzZDCtDKKV+Qh8PrjlREmK5AOBYAZfMvmhQbhyaqQzm1XWX+Sfey4mn3EGDEYjar75RnXrOdAJpNyfOsaGxSePQ3VJC3asrUXp7kaVzS/Z4VCBvhbwB2fD7TUd9DDBqLPAozWheHsDMifYY+6kloiiEwP8KORyuXDnnXfiueeeQ0lJCdLT03H66afj17/+NVJSZN7N7hUVFWHiROna0bnvf//7eOmllwZ4q4k6J8F90RofrHFddxpxtXiBRRjRAb4Mrt21ciWcFRWQ8LM6+QRousjWmEBiuhmLjs+JubEH/SFBr9Tjyz7MPuww9VX60Esm393QEOysI0F+eCIsqTfW61U2X2+zIS4jQw3crd20CRlz56pxEKInQX7rzx9nVwOeq/a3YMdXtRg3xYGSnY3Yu6kB9S45iWj7PF1n9NuuE4AHHi14dvCfR3Zg75YGzDliDPIKk2A0dV5CREQ0EBjgR6FzzjkHr776Ks4//3wsWLAA27ZtwyOPPKJq4z/99FMYZRKYHli+fDl+8IMfdFg+efLkQdhqoq5JcJ+dJ8MhO1dWVN/DoCl6Ne3bh10vvqiyz25TJhrtswBd++y9tMbMn5+OCdO73hejlZTdSGedii++wNjly4P98aVRvabB1dCg9mtrJj9UrqMy+aGBuSUffKAepzeZkDZjhgry5fHp8+b1OGsu68mMwhnj4loz+tLe9ZOVJTDoLNA0H4Jb0Ju/1eC6UgJUW+7Exg8rMWlOigr0Zf4HttgkosHAAD/KfPTRRyq4v/7663Hfffe1Lp8+fTquuuoqvPDCC/jhD3/Yo+eaNWsWLr/88kHcWiIK2/XSS6r/vaiPXwKfUa62tc/S2xIMWLIiF0Yzs/ddzS6ctXgxyj/7DOOPP14F6NXSE1/T1Ay4WjjIl8x9qFxH7tP7/WguL8f+Dz5oDeYlyG8uKVH3y9UBVbffQ20z+vbkYIBvN2ZA06SVZx18mjP0u5Wf1bPuJVLm01zvg8vRhMriZmz4sAJZE+yYMj8VKWNssNi+OxybrQak5dhav+cgXSLqLQb4UeaVV15RXy+99NJ2yy+++GL8/Oc/x8qVK3sc4BPR0GiuqMC2Z59VM7B6DQmoSVj6XWvMUBJf4s68GalqYiTqPsgf0zbID7X/U0F+U9N3mXwp15Eg3+8PZvUlk19WhuJ330WuPCAQQNqsWWgpLUWVBPnz5/cqyA8H+smZwUHSieZsaPDB4DWi3rMPJp0Vfs2LgMrQh3tqquaeXT9huJ++NwB3sxt15W5s/VI6+h8YB+kSUW8wjRRlNmzYAJPJhPz8/HbL7XY7Jk2apO7vTS2/1PBXVlayRy7RINr50kto3LVL/bvRNhduc3aH1phmqx5LTh0Ls5V5lQMxWCzIWrIEcZmZmHDiiUidPh3xubkwJySo2nt1kyDf6w22w5T++FKy0ybIb9i1C9XffKNODGRZxZdfBgfs9pHJYEGSZSwS1O8WsJsykGDKhlkfzrTr22T1+zKQVgcjbLAbMpBunY7c+MWYmLgMY+3z1L2ulr5vOxGNPjzSRJny8nLVg76zmtG0tLReBfhSty83YbFYcPTRR+M3v/kNZs6c2e3jpJ9uf8nPkxtRrPO2tGDb448j4HLBr7OiNnEJtHDQ16YEPzPPjtmHZQ3bdo40Mmh2zNKlKP/8c+Sdckqw3l6nU2MdpFxHCQX5OpNJZfpVG029XgX0+999V9XkSz49ffZsuKqr1VWBrIMPVicQveXxB7s++TVPa0Zf6L16eNzNMOvi4NM80NT/wnpXq++DEz6/C05/A0x6K6yGFJgMwSsIGz+qRNnu4DawhCe2uN1udeuPgThuU2xhgB9lJOseF9d5JxHJ7DudUvvZvYSEBNx6662qk45MfFFbW4sPP/xQ1e9Ljf/XX3/d4QpBW7m56gJ3v9x22224/fbb+/08RNFu+3PPoW7bNvXvprgZaLbKe6v94FqjCVh8yjjEcYbTXjHabCrIr5Agf8UK4N//VstlAK1011ECAWgS5BuNqrWmCqklyC8vR/E772Ds0Uer5dJdx9PQgLJPP1V1/qYuPmcjSfAsSprXtVvu19wwG+JhM6SgDkXwaO3bvvZdsPuOOyC3xuBMXlK++VDwb6wrLOEZue655x7ccccdw70ZFGMY4EcZq9WqgvzOeL1e2GzfZW26Ipn+yA+LSy65BIcddpiq7f/jH/+IP/zhD10+vri4uN8z2TJ7T6OBz+3Glr//XfVu9+ttaIibDb9RZpNsfwUuIc2ieq1TPzL5X3yBiStWBOvodTroiovhqq//LsiX8hsp15F/S/cdnU5l7YvfegsB6crj9SJrwQL4mptR9sknyDroIFiSD9zNSIJmCZ7DJTI1ZU48/LO1HQL+SNMPTkV9lRt1FS64mv1tSra0PnWMkgIeqfu3GVIRZ0qF2WBXM/vKlQXZFpbwjFw33nijGmPX3wz+QCTnKHYwwI8yWVlZqo99Z6qrq9X9fXXGGWeoAF/abnZHgvv+BvhEkX3ug60wu76/s48jqZ/urG5aBldGw4RBO/7xD9Rt2aKCyua4KWiKm/3d61BJfB10emDO8kwkp4dmtKVek5Ialcn/4gvknXoqdAZD8PcvQXw4yA/V4IdbaEqQr+n1arIsyeTnHHaYyvRLK075DUkmX7rr2HNyDvjz22bGJxQmtwv4I6nBwE4/muq8KNvdhNJdTfjyP6VyHUe12JT8fDDAD//9aj0u4JGrBB5fC5r91bAaE5BoGgO9nleFRjqWtNJgYIAfZaS15QcffIBNmza1q5WXMpudO3fi1FNP7fNz19XVqa/JPchaEQ0UmaFWJrHqPpAxBteLUP7JJ2jeubPDcnt+PrKXLcNw8jgcqvbe29QEvz4OTdYCuE0ZEYNr9bDGG3Ds+Zx7YkC66yxZgsq1a1WQL99DTvQkk19bG8zgh7rrqEy+nADIjLh6PbyNjapPvre5WdXsZy5cCHNiIqq++gpehwPJBQW92paelsI4HelY/UaJCvBVm00E4PTXh9ps6tT/vgv4eyoAn9YCh7cFzd5qGb6tlu5cX4uM3DjEJTDgJyIG+FFnxYoVeOihh/Dss8+qurywf/zjHyozdNppp7UuKysrQ0NDg5rpVm5h77//PhYuXNghC//73/9efT1FBqwRDRGZnbavM9RaMzLQ+MUXSEhKUllcmfyoqbER1iVLEA1976s3bVJBpNM6AY64GYA+lKUPl+Cr1phJyJqQMJybGjPkyo2U1hi++Qb6k06C0W5HldGosvbO6moEPMEBsKqVpgT5oW47EuRLaY4MsvU2NKhZcmXgrX3MGNRv26aCfJn1VnXkGUAyiVXezGBCJcGShYAWgMFnUm02zTqbarPpby3Z6V1GP7imXw3MFa/8cSs+f20/pi3OwNwjsjB+ehLMFs6WSzRaMcCPMjL77AknnIB7771XtbecM2cOduzYobrhzJs3D+edd167ur0nn3yyw4BWOUFYtWoVTj/9dHVFQGr65fv//ve/6rnPPvvsYXp1RL2TlJ+PxqlT4dm9G2nZ2ajZuRPWggK1fDi1VFRg+zPPwFNfD58+Hs3WiWixjO8wuNZk1uOUy3qXHabuSQ2+lNYYrFZVqmOMjwc++UQF/82VlaqbkRLO5IeDfJ0OAbcb1Rs2qC48cjKQOnUqEvPz1YRY0mNfMvsmu32QtlxTZTVSSlSPffBozR3u7w9ngx97NjRg39YGfPLSXqRm25A/PwVT5qZiXEESsifzJJNoNGGAH4VeeuklNUhWsvZPP/20ys7LINm77rpLddI5kB//+McwGAz49NNP1XP5fD4UFBSoDL7Mhiv3EY0EErSlzZ+PsuJiNJaWwms2I3v+fLV8qEhZx6MSRMoEdA6HCgAle18j2XufD05bLhzWaQgYQmUbbd5eqWNtmLLwu6trNHCkN7502ZGAX/rjS1tMndmM5tJSNehZBfaSyQ8NylXlOvLZ5/OhcfduVWIlLU7l95s6c6Yq4yn96CN18hA3ZsyAbWdXXXgiTZmfjJZmP+rKnGhplPp+fZ9KePweoKnWq257v23Ee08HZ1c+6fJJWHrqBGTm2qE3DP/4FSIaXDpN6j6IQqPwpa2mlP1wkC1FC/mIKl21Ck2ffYbEQw5B9uGHD+kA28gAX1o0fnzVVdi/ahW8gTjU2ReiIvU0eMwyWFMfCvAN0BuBM6+fjmPOH96rDbHOWVWlaunrd+/G3v/8B479+1WvfCnJkcy9GnwrJLgPB/yhWWpNiYnIWroUaYWFKrAPZ+8lq58ybdqA/Z1VFDm67XLj9wXgavFj/7YmlOxswCcv71eTXgUgs/TK4wIHniX3AIxmIDHNijGT4jH3iEzMOCQTmePjodcz2I8FPH5TJGbwiSiqSZCVPm8e/C4X0ubOHfLuOYE2s0DLQE0p8ajdtEkN6nRZx6Elbgo8xpQOE4PHJ5mw7Ht5Q7qto5EtI0MNuJYxGpbERBT9+9+qfKd53z44a2uDQb0E+VKyI8G9/FtKdgyGYNb+/ffhqqqCr6UFaTNnqq46jTt3wl1Xp4J+uUrQXz0dlDvtoHRsXV2lAvxwbf13+peL83mA2jIXaitc2PFVNd76+y6MyUvArMMzMeuwTGTlxjOzTxRDmMGnDhkAKefprIznyiuvVDeioc7QSo20z+VSPdHt48bB1mZQ+WDatXIlPr3qKjhKSr5baDarANGDRDTZZqIi9RQ4LZPaZ+/1wJLTxuLiO+cPyXYSVJ/76q+/RtP+/dj/zjtqAHTz/v1oqayEFh58Kxn9UAZf/TvUbUf6ycfl5CDniCOQMnWqyt7LgFu9yYTUWbMQP3bskL4Wyfg76j2o2t+Csj2O4BUAhxcNNW401njgbvbB79eCbWQDmirL6RMdYDAHT0Yzc+MxY2kG5i4fg+yJCTCa25+wUnR4+OGH1S2S3+/H9u3bmcGnVgzwqRUv8VG0BWwVn32G5s2boXM41EmnHMS0+HjYCwtVaYVqlTiIwf3bZ5yBNE3DBOlVDWC3BF8ql6pTPe/r7fNRlXgYYAi1ng0F+JZ4A2585hDkFsikVzRU5HBWv3076rduVe00ZUKr5rIydYKm6vJFaBIsdZN/i1BffVNCArKWLEH6rFlInzMHplBplpxUps2aNaRjP9pyNHhQsr0R+7c3obHWDVezD+V7HKje34KGajecTVLGI9l3CcoDfc74S1mZLd6I9Jw4FCxIw9yjx6guUNa4wXuf0cDg8ZsisUSHiKIyUJPg3rF6NVKys2Ed990ssK6GBtStXq3+nXP44YNWlvPp1Ver4H5WKHSqBOAO3e8xZanuOS22fEAf32lrzJxJ7Foy1CRIlwy8NTUVBpsNtjFjsO/NN2GMi0Pj3r2qJKe1Jj8c6IvQAFyZ06D0gw9UHb9MoJU2YwYSxo9XVwLctbWqleZQXT1qKz7JjKmL0lGwMA2NNW5Vqy9BuGT5Jbu/5q0y1Q9f2mZqoVKx4Kvs3QDdgA9orvehub4R+7Y14qOVRUjJtCFvRrIK9gvmpyExzRIVk8wRUfcY4BNR1HFVV6vMvQruk9pnweV7qXiv37wZzhkzBiXgKvv4YxXkSYNLCWWkGlrmS5XGhgEY4TLnoMWaB5cxHdC1/Rg1wGTR46hz82AwssRhOOvyZeZaycDb0tKw7+23obfZ0FJcjJaqKmhudzC4l2A/nM2XIF+ng4y4qN+yBc6KCrVu+owZqjZfVHz+OeLHj0dKYeGgXj3qigTWSelWdStcmo76Che+erdMBfjxpgzodEZ4/A54Ai0IaN5Qh/1gkC+lOLJA8wOBcOv9bsh67mYN5XtaUF7UgjXvlCI+2YzsifGYviQdc48cg6wJ8TCZ2ZWNKBoxwCeiqCM191KW0zZzHxnk68rKVGZ1MAL8lrIy9VV6qkh4VC2XwKWjjmTxLTnw6SxosebDb+hYgjNmYhymzE8b8G2i3pHxGjLzbX1amhooa1+7FuWffqrKcJqKi4MlO2277IQDfp9PTYzlqqlByVtvoXbDBiTm5akgXwbzOmTwbmUl0mbPRlxW1vBerRhjw5T5qep7qzFRlY7ppdQoYIVf88MXcMIbaIEfHhgNemh6HXQS5GsBBCTQ90sNfw+S/Fqw/WZDpQcNlbXYurYWb/zfdqRm2zFxVorqyjNlYRoSUpjdJ4oWDPCJKOrIgNoDzdcg98t6gyEuO1t9DWbsgZbQza+zwG3KhNM6EU6TZO/N7WrvDSbgoBPHISFVKvYpWkp2bJmZKrCX7HvxW2+pGXCbi4vhrKkJdtcR4Wx+qMuO3GQOkaadO9Wt5N13sfnRRzH90kuRu3w5KlevVgNzU2fMUCcTwyXcZ7/Cubnb9SbNTYaj1qtq+D0uHXT6gLrKJBn+gC8Y6Guh2wFJdr8FKNvVrG5fvL4fcQlGZOcloODgNDWT7tj8RFhsDDGIhgvffUQUdSRgkgG13ZH7Byuwkkxt/Lhx2L1/P2T4bC0McEOPFksevCp7Pxk+gxQKhWu4ZYSihuQsG2YsyWQWM8pYU1LUeA0p3bGlpqrBt9Xr18NcVqa67gScoZaUB+g5Ib31Nz74IDwNDZh46qloKS1VpTzJBQVInDRJTbo11KQF591vHKn67Lvr6tXVBZ/HDaPZAmtGBgLGeNRXuuB2+tFQ5YLb7Ud9uRNV+51qgK6r2Qu/LgBN06mxL6ozTyizr/WwhD/gBRy1PuyorcOOdXV4+7GdiE8zIzc/EYVLMzD7sCykj7WzMw/REGKAT0RRxz52LOri49WA2sgafCHLVTedLkp4+ktaJC75/e/x37POgkMCO/jhNSbBZ0yEy5IHtzEN0Lfpjx662jB1QSoyJwQnS6LoIr9T6YQjs9TKBFeJkyer2W9NSUloKipSfe9VNr8HjeW2Pf00zElJyJgzB9a0NNRt2aIm15Lnl5OIoZY+1oKKz76CZ/Nm2Nt2nCqPR0JhIQpOCHaccjq8qu1m+W4Hakqd8Lj8wXacxc2qP35Lowc+dwABNV1AsFBftePsTXZfqpw8QH2ZB/Vl1dj4aTVefnALkjOsyJ2eiNmHZmHGoZnqe45TIRo8DPCJKOpY09NVK0zpliN58rZBvuqiU1aG+IMOGtSOJtL7PG/FCjVxki8AuM258Onj4DTnwaOy9x2Dk9ypSbDZ+bEazSQAH3fkkYjPyYE9Oxtln36KGinZqagI1uY7HAcO8n0+bHvySTQecggyFi5ESoEMxwYqvvgCtqwspEyfDnNCQtR1nLLFmzBpVoq6+bwBVJW0oGKPA5X7mtHc4IW7xYeashY1IVZjTTDrr/MGs/sS3ctu8fukiD/UYbQnDXoCgM8NVO93qdu69yphMgNJEvBPTcTMZZnqqldKlg1GEwN+ooHCIxERRR0pcZE+9wh1y5EBtW374EtwH75/MEigJwMyAz4fjPHxaHYlwK83w2kZD48pFTC0mZm0zViBrDxm70cC6WcvtfNq0rSMDFWnX7JqlcrK12/bBo/MgHsAnvp6FL/3Hmo3b0bmQQchc+FCJE6cqEp2pEwmPjcXyVOnDnp9fl87TkkwnZ0Xr25yktBY61G99Sv3SjbfCa/bD0edFzUlLaivcqGlwQO3KwC9XlL58v9gGY+U8/Q4uy8CgNcFVBe71E0CfjXZVrIRuVOSVXcgCfpl4i126CHqOwb41MGiRYs4ky0NOykpkKyjBCbSLWeoZrL1trRg/3vvoXHfPtRs3Aiv1wC3ORteQzI8prHwSHlOh+y9tEz0IjFt+AZbUu9ZkpLUeAv5m5KB1VXr1kHz+VDVgwBf0tkBl0uV5rRUVKD6m28w5uCDVaBvz8lR3Xak1arU5ifl5w9aW82B6Dil2m+mWdRt6sI0eD1+VEt2v6hZzaYrZTweqeGvdqG2tAX1MrmWwwe/JwC/PpjRV+U8gV6W8wQfBr8baKjwoaGiGps+qcZL92+FLUGvxhdMXZiO2UeMQe6URFjtxlE/vqW7mWyJ2uJMttSKM+HRaKcFAiq4l2yufK3ZvBn1Wh68sKMxrhDNtkJVg986q1XoRDjOkIkWfyVufWkZJhSGZrWlEcXvdqNu61ZUb9iAjy6/HFpLizpt61GfJp0OOoMBBqsV8RMnInvxYmTMnw/7mDFquc5oVNl9CfYN5lDnpQFS/sUXcH72GdKnTOlyneodO2BbuhRjFi/u089wNnlRsa9ZlfJI7b7U8rtb/KivcKrafZl8Swb5qoDfHwz41WBdNWA31H+/pwF/Z/SA2QIkZ9owfrqU9WRh+kHp6nuW9QTx+E2RmMEnIgqp2bQJVV99hbpt29TAy+ZAKvw6KzymDLhNWXCbMr4L7kOZRAOssBrjVYBPI5fBYkH6nDkqEHcUF2P1TTep33RcaAbjbvOj0n3G51Nddhq2bEFzURHKV69G9sEHI2PBAsRlZqJhxw407tkz4IH+UHScsiWY1Gy2cgsENDTVelSwL1n+2jKnqt13NftQV+lEfaVbteJ0SYbfGwz4g+N1JeCXCbSC3/cq4A8AHidQudepbmvfqoDeCFjtOmSMS8CUucmYfeQY5M1IUduq14/uLD+RYIBPRATAUVKi6u7la82GDXBK20FdBvx6G9ymHHiMmdD0bWrvQy0RrYZE6MLtMmnEMycmYuH/+39qEqvPb7gBLdIrP9QQ1Ria7OxAgb7X4UD9t9+iadculH78sZpwK3PRIjV4fPfKlXDX16uBuJPOOAOWfg7GHayOU5KBVwNqIxiMMpuuRd1kki1Vv1/jDgX8TtRVSIbfpzL6MtOutOYMB/w+j3TlCdXwtwn4gz+vd0F/wAe0NGjY29CIvd824t1n96la/rgEPTInJKJgQQpmHz4G4/KTYEtgaQ+NPizRoVa8xEejlaexEXvfeEPVUe//4AM07NyFGk8OfJpV9b5vsU5Co20moG8ziLaTcSrSj1zqhik2+H0+fHXnnVh7xx2Qqc88oZIdufl7Ubqjt1jUYG0J7OGW6wFB0mJz7i9/icJLL1W9+vtCDuFlH330XRedLjpOyXiW3tj+VS1qiuUVt5eWa0bBgtRut6epxoPK/c2oLXWittyJliavquGXEwEZsNtU60ZLoxduacnpC0Dzh9pySnceCfwDA1DWE6KC/ng90nPtyJ+XjtmHZyJverLK9MdS0M/jN0ViBp+IRjUZvFv6ySeqLKdu82Y1GLHJlwI/pDQnHV5DClzm3O/63odmrZUSgflHj8HkOakoWJgKm93E4D7GGIxG1WFHSP5bpsOSeRGaQv/uaemOnCj4m5tb/3zsoVtTTQ2+uOEG1YM/76STED9hgirlkU48MuhXBgBL//7h6DiVkGLC/o0eJCYmqG42MvC2qakJCbNNB9yexHSLumFucFlzgyeY3S+Xmn0nmmrcqgWnLJfJtiTwl4G8Utfv80rdvrTk/K60R1Ug9THg93uAptoAmmqbsOebJvz3iT3B8p44PVKz4zBhRhJmHZqJSXNS2ZufYgoDfCIataQNpvQur924EU1796pBtc0tejhV7b0FXmM6XGYpz2nb9z4YcI2bGq9qfucfnY30sVKpTbFIAm0hMab0oEkI3ZpCt5ZQsA+jMThR1gHI8zRK0CtdfEL9l7Y88ggCgQC2PfYYXKGSICGzKR/yhz9g8ve+N+QdpzLH21E53oWmci9SMu0o21uP1FyDWt5b9iSzuk0oDF5dkJOFukqXasFZV+5SM+1KWY/b6VPZfQn6HXVuNDd64XVr8Hn9oc48ofr9UJZfnQD0IehX5T2NAbQ0OrB/mwOfrixRy81WwJZsRHZeAvLnpWHmoekYNyVZzR9ANNKwRIda8RIfjSby0Ve5Zo0K8GXw4/7330dTeTWq3WMRCBjhNOfCbUhHQ/xC+FWA/1323mzT4fAf5CF/fqoK8DmoL3YF/H48k5cHS0kJZmmaqsWXg6YnlM3fIf+22ZA+b54av9FSXg6tTRlOb8g1oqzQwF4pA6oOnQzMuvpqTDrttB5l9AeSlNds+qABNnM8nB4HZh6ZhNQxbWZwHsD3ogTzdWXBkh4J+Btq3KqsR5Y76jwq699U71EdfbxuGbwbCHbokaAfbYL+nk7A1UM6gwT+clXCjLGTEzFlYRoKl2Yga1w8LHHRkyPl8ZsiMcCnVvyAoNFCPvaq169XAX7Drl0o++QTNBbtRbUzC16fCS7TGHh1djTEHwS3RTK45tbgXkxZkIy5y7Mx/6jsPmU0aWTZtXIl3j7jDMgMCBM0TZXXSAZ+r06HGk3DwXffDaPNhup169QkaY6yMtUDPyBlOb04xBpCWf1wo1Xpy+SLuJow4/LLkTxlSo9LePr7Ptm2uhbFG73InW3C1EWpQ1a3Lt16JIsvXXqkM48E/WqwrtMHZ6MPTXVuOGo9Kuh3ObzwygBerz84+ZYavRvM+Ms/B6qevy2dETBZdEhMMSMrLwGT58gkXRmhQb1Dn/Hn8ZsiMcCnVvyAoNFAPvKkS44EY3Xbt6Ny7VpV91zdlACXNw5eXSLcxnQ0W6fAYSvocmDtebfMxBFn5kFvYPZ+tAT5n159tQrcwxJyc7H0wQdVCY3P6UTDnj2oXL1anTzWb9+OlspKNOzcCV9DQ59/bmYo4K8PZfTbxqk9LeHpDxkMu+ubehXAxiUOb6mKzJorgb3U8kuJT2O1R30vffmlS09zvRdN9VLe4w0O7HX54fcFVDcgFfSrBj6hybhUqc/AZvsVHWAyA7ZEE9KybcibmYiCeemYPD8FyZlxMBgGp8afx2+KxACfOnxAFBQUcCZbit3gfuNGVXMvkxqpf2/ejNo6AxzeZPhhg8uYBbchCU0JB8FnkNAqdEAOvScsuiS4tQZc9edFmHPEmOF9QTTk5TplH3+MlrKyLjPoso7MLlvz7bcq2K/dtAm7X321R/X5XdGHAnvpnJ/dpjd/uITnqGeewdTzzhuAVwjUlLagruLAJUYpWRak5cRFxXtaTkIk4G+QoL9G+vB71ABe6c0v98kAXrk1N3jhbvbB5w3AF+reI4F/2z796iRgkKIiKfex2PRISDHj6PMn4egfTh7QmWy3b9/OAJ9aMcCnVswAUKzPUiuZ1botW4Idc7ZuVcFXfZUX9d4MBGCAyzQOgYAPdcnL4TFKQYY5IrhPhtWUgAZPMW558VDkzexba0MaHaQffmNRETY+/DA2//WvqgTHGKrf7+uBVx4vYXVy6KtcT/Cnp+Po559XGX058bB00g+/p3auq0PRGh+scV1n610tXuQtMiJ/XvT+/ctA3oaqUFvOUNAvtfzNTR64HT6V4Q/X96tsf4sfXpmYyxes7VcDetXlksEp88mebMOd/z56wJ6Px2+KFD0jRIiIBrFbjpTiNO7apYL7+p07VUvMxlofGvyZKgso3XLgc6Ih6TB4DInfBff6YHCvgwk2UzIM0mNPvufAWjoAU3w80mbOxOEPP6wmupKJs9zV1a319nLr2Gm+e75Q1l5u4RMGec5977yD7CVLVLmZwWqFLTNT3WRyLemy0xsS3GfnhUcCdFRWJAVD0Z0blNae0t0qssOVnJxIaY/K9MvAXQn6JcPf4FHZ/baBf3jCLjUjr7TvlJr+8Ey8rW08+xb4m21DN1iaRicG+EQU07wtLWowbdOePWjYvVvV3Uu/8PpqD+q9meqg7TKNhd7XogbVSu976NoEBaE4Pt6YDpPBCqNOhkES9ZxOr0fhxRdj2gUXYMODD+Kz665DXihYd7bpq99b/jZ9+Dc+9BD2vPoq0mbPRtbixUgYO1a1fpWfbUlNRZwE+xkZaqbeWJrgqbfk5MU63tRhcLzb5UNjuCd/nQT4bjgagl/dzX60NHtViY+zyaNOAFzNAXhdUu4TnJ03PFlX6wBfddWw6/Og5JxQAoFokDDAJ6KY5ayqQtVXX6Fp3z4V7NTv2IFaqY3eXoEW60RoOj9c5rFAwI0m+0y4rLkI6GWyKl270hyrLgVmox1mQxyMOuvwvigasaRe356To/6dE6qtd4fabVZI/Xvf2rorAbcbjTt2qKtURf/5D0wJCYgfOxZp8+cjc8ECxGdlwWCxQG8ywZKWpmbRlR75st5oDvjDLFYjMsbJrX3gL8G7BPZS5qNq+esk0PfA0ehRXXwkw++SrH+TDOyVDj9etcznCahaf79k/CODfw3Im9b1bMBEA4EBPhHFZL29dDGp37ZNBfbNZWWo2bRJdc6prdLgsk6CBn1rcN9sm44WawF8+oQOg2qNsMNmSoJJb4PNkAy/5h3eF0cxMXGWtNmUSnlb6JYeKtcpAlAaWlf+AiX07tXw3EBA9eH3uN2ora5WA8p3Pf88THY77GPHInX2bGQsWICE7GwYbDYV9EuwL1l+S0qKeu+E28Fqfj/qNnwMd00ZLGnZSJm9DLoh7MMfDaTrTWKqRd0iyQRcUsrjkO49UurT6IGzIVjiI99L+05ns0/17pfBvtLtx9nsh9ftx5T5fZuAjKinGOATUcwNbKz6+mu0VFSoFoWSxZduOTXfSrccKzzmNAR0RrjM46APtMBhnY5m2zT4DBLcRwYvBliM4YyeDr6AB96AhGZEfSOdd2Qw7N42E2cJ+SpFG26dTmXeF915Jz6//nq4qqpaH6sL3XqV5Q8EEHC54JZbTQ1qN2zArhdfhCEuDnEZGaqnfsrcuUgtKIAlMRHVxR40VyWiaPU2FD17H9y1Za1PZc0Yh2lX/wGYsHzgdsgIZjQZkJxpU7dIMjOx6tcf6t4jdf4S+EuwL/38x0/nQFgaXOyiQ604Cp9GMmlPKAG9lOE4y8vhKC5Wkw7JYNr60hrU1Fjh19vg18fBbc6GztcEh30uWqyTQ8F9KN/RZkKr7tz9xpHIypNyHqIBnDgLwHEvvaR624fbckrv/epvvsG2xx+Hq0bWCNHrYYiPh19mzu3j7LmtT2W1qkHBhqQM+DUr3LvXqe2SPvzyVa5blQOQjv65P3kU0370PUyZzzKTaMHjN0VigE+t+AFBI5WU4EggL8FP4549cFVXq245Dbv3oL5WQ6M7EX6PD15jKnyGFOj9LahPOAhOS7jmPlyWE/yPxQ6Mn56CrAnxyBpvx6TZye1mp7TGGRnc06BOnNWZcMCvBs+azTAnJKB+61Z1Ytu4bx9aystVj353fT00l2tAtlPeGfKXLyNPJE8t/XM8cSmYc/efkbcwF+akJLUdptCttx17aGDw+E2RGOBTK050RSONzBQqAY4E9M2lpSrQl+CnbscONJXXo96ZDLfPhIBfB7cxE5pODz+saEhYBLcpDdC1H1AnAb4t0Yj8OenInZaEnPx4FCxIi4oJfWh0TpzVo+fx+dTJrczxULtliwr4Hfv2wVFSot4XzpoaBJxOGTE6YNuusyciacI42HNzkVRQoEp97JmZMCcnq1IfuRogAb8K/uXKgIXdpwYCJ7qinmKAT62YAaCRQAYBSiDfuHu3qk+WWnsJkCQTKuU5jaVVaHDY4PTHqw4YXl0yvIYkQPOhxTIZLbZ8+FSf+8hMo6aC+8nzQsH9pATkz0/t0E6PKNrJYd3X0qLeExL0y3tFgn7pJuUoK4OzrAyucJZ/IEMAgwFGu11l9aUtZ/z48UicNAmJEyfCLhNwpabCHB+v1pFBv8a4OPVV+vazk0//8PhNkRjgUyt+QES3iiKHar/WlVgvG/E2N6uARTL0nro6NXhWAn2pta/ftQuOsho0NFvhCiQEp6LXJcBrSEZAZ4BXn4LmuGmhrL0UG0QGExoMWjVmHj0b4woSkT05HpNmpcT0/qRRGPQ3N6txKSrDv3cvGoqK1NwQku2Xq2HyvvI3Nw9s0N+WxQJTYiJsKSlqAq6EceOQkJenrgIk5uWpbj6muDgYpbuP1aq+ykmA/LsvVzZGEx6/KRIDfGrFD4joDu7/34kfjLiBn/0tQZBJqpwVFWguKVEBvTsU2DtKS1VWsnF3ERyNfjS7rHBrdvh8Ovj0dpWx9+tsKsB3WvLgNmXIKMLvau3b0rww+koxZeEETDl8OrInxSN/bipSszt2xiCKNfIeddXVoUmy/Hv2qBPoNXfcAbS0QIpqpJJ/SIMECeztdlhTUhCXng5rVhbixo1D0sSJSJowAXFZWeoKgZT8GK3WYG//Nv+Wib1GIx6/KRLbZBKNAOHM/Vj7PJgNHQN4j9+BkuZ13Wb4+xuUh68gBPwB1U9e6t4lC5c+bx70Bn2HKwidDSKU9oCH/OEPXQ8i9PmCQXx1tQrsJZj31NfDVVsbzN7v24fGPXvhqHOhxW2BK5AIn18Hv2aDz2CHx5QErzERXkMa3JZs+AzJQJczz2qAvxEJulpMPnQiCpbPUsH9pNkpiE/mLJM0Osh7WwJpuWUddJBalpyfj7e//30V4E8InRaHJ+OSXj1J06erzj2S8fdIbb908BmoXKHLBZ/LBUdNDRw7d3a9npT0mEww2O2wJCfDlpamXoMtJwd2uTIwfrz6vJFlagyA2Qy92dzhK68MUKxigB+FXC4X7rzzTjz33HMoKSlBeno6Tj/9dPz6179GSkpKj55j//79uPHGG/H222+rM/uJEyfiRz/6Ea655ppOB9DSyCDBvc2YPGjP31VQPv2WP+CvD0bWrMvA0xYAn3a4gtDaBlDTUBBqs6faAJaUqOXSBnDSaaepnvWexkbV9UNOGKSeXsoIpD5YSm8kc+/YV4zGigY4WwC3X4L6OPi1ZAQ0M3yGeHhNyfAYUuA2pcNnTIPPmAToJEDvpqZXc8PsrcLEhRMweclCjJmUiHEFCRg7JRFG0+jMABKFyQn4cS+/rD4LtkZ0+TniwQfVe9fT1KQG8KrOPZWVKiEgJ+BS9tNUVKRa1XobG4MtPH39Tzx0ICcUHg/8Hg9a6urQsmePajF6QKETA53NpgYAy4BgGR8gs/rax4xRVwgksWHLzFTjCMJXC2QGYL3RGPza5t+j9YoBRT8G+FHonHPOwauvvorzzz8fCxYswLZt2/DII49gzZo1+PTTT2E0dv9rq6+vx2GHHYaqqipcfvnlGDt2LN59911cd9116oTh/vvvH7LXQiNHd0H5h1f/Epj4QI+uIMgVAAkM5Hlmhi7vy8Q8kg2cpGmqn/aHP/4xPA0NKlOnAvtQLX1TZS1aahxqBki3B/AELPAhHn5kw6+zqoDebU6FXwX0aXAbUwF9HKCTk4+eHGi9SPDWINFbBrenBFNmFWDqkkyMn57ErD1RRJA/ccWKLkvsLElJ6pY6fXqHx0rlr9fphEsC/8pKNcGWXI2Tk4EGmVl6717U790Ld0UFPM3N0Lze4EnAUFQMh04MNI8H7oYGdUWicfPmvj2XnCzI8dhggE7GCVitahCxdBKSKwcJmZmwpKUFy4yystRVBhlobEtNRcKECWq8AdFgYYAfZT766CMV3F9//fW47777WpdPnz4dV111FV544QX88Ic/7PY5HnroIezZswevv/46TjzxRLVMMvff//731X3yPHl5eYP+WmjkaBuUz2qT+04C1GybDaEqXLPeCpvUsgckTPcFvwa80PsqYHXuRvVaI2r+s1FdAZAq0F0qpNbBozOqmxcGuORrgw5v/Pw++ANG+GGBP2CFxxCHgD4bHsnKGxLhsaXCY0xBQE4o9HZAbwR0Elz0ttuGBp3mRqKvGmmecqR4SpDkKcN+TzHyso/G9MXp7OBB1AkJ5scecUSvHyfvJ3NcHMx5eWrwbFfUiYBcsaupUWV4Up4XLtGTqwHqisDevXCVlgbLgVpagicCg3FFoK8nC3Jy4vWqjkTShNQZusmEYN/NAdyRbfx4XLR37xBuLI02HGQbZa699lo8+OCDqp/tlClTWpc3NzcjOTkZp5xyClauXNntc8ybN09l76VMp6133nkHxx13HP7whz+oIH+oBuncuuRulJVLqBikeXUScvXswVrkJO3d6HB3Dx6jVuvYUaXL52i7rqzWo5fRdqW+BpIRj+vyaXrz/N2s22XAqws9TNfm+9A+an1M23+3ea4Oj+vt9vZA2+oznwdxvjqk+SqR5KlAuqcYid5KpHqKoflqsSngxIoPPuhTAENEw9QJyONRV/+k/EfK+zxS5ldfr64USEmfukKwf7/6tyyXkj8pE1JXCQZwHoD+sowZg0vKujsF6B0OsqVIzOBHmQ0bNsBkMiE/P7/dcrvdjkmTJqn7uyOTXWzevFmV6ESaNWtW68840AdFf1ksFnUTJZUFgLnNnxorIWggtBtKYlD/j08wID03Dhlj41H+r78jsWYLZngrkeStgs3fBLPmUudlG3U6VU8sJQdENDLIlQGTtNrMzATk1serlVI+JIG/3KRTl9/lUuU6MiGYKiPaswdOmSBMBvrX1qqTCZlXQB6nha8gBALBWx9JqU6Y2+1Wt/4YiOM2xRYG+FGmvLxcnX13VjKQlpZ2wOC8trYWHo9Hncl39vjwz+hObm4u+uu2227D7bff3u/noVGuw3hwA/QmIC7JgNSsOKTn2JA+1o70sXHIGGdHYoYV8UkmxCWYULL0aPz3zL+iXkqNNE1V6Mtl8706nRqMd9yDD47oDhoSENxzzz1qMH34ZJr6jvtzdOxPec9b4uPVbbD4vV510iBXDtRXj0eNN5KmAlKK1FBSgrHHHtu6vuynO6Q1KdEAYolOlJk8eTK8Xi/27dvX4b7DDz8cn3zyicrSd6W4uBjjx49XA3SfeuqpdvfJr1qv12P58uV47733urzEJ8/R30t8bTP4l4x/ErAkIGrxLTAItE5uAZmGFk7NjzirBdZ4O8w2wBavQ0JaHFKy7EjJliDdjKRkG+KSzLAnGREXb4It3gST2QCTRQ+9UQeDUQ+9XtenrkCSuV/64INdtuocKXhJfmBxfw4s7s+e60kGX/anJN+6Oj6H7+f+pjBm8KOM1WpVbTI7I4G/zWY74ONFZycB8nhxoOeQD4eB/IB4bN8FGKmi6SA12DPZtnbRkd7XmvZdFx2dDsWWSdjSgy46t760DBMKk7sMro1jx+IyqZMdov15oE4gRETDrW1C7EAG+vhMsYsBfpTJyspCUVFRp/dVV1er+7sjffKlhr+urq7Tx4d/Bo08gz1Drep9/dJLKij/um3Ge9w4HH7zfdjyIFQQ3x05yeguuLbPmYPL2tSeRnMnECIiopGKAX6UkYGwH3zwATZt2oSZM6WL+He19Tt37sSpp57a7eOlR7601Fy7dq0qyWlby7969erWn0HU24z3+GN7N5NtZ8E1B4IRERENPgb4UWbFihWqV/2zzz6rBt6E/eMf/1AB+2mnnda6rKysTJU6yEy3cmv7HDLrbbgtZtjzzz+vavCl1SZRbzPebYP3ibOOGuKtIiIiop5igB9lZADsCSecgHvvvReVlZWYM2cOduzYoWaylf725513Xuu60p3gySef7NCx5uqrr8bjjz+Os846S81km52djVWrVqkJtH7605+qgbxEREREFJsY4Eehl156SbXMkqz9008/rbLzl1xyCe666y5VX38g0g5Tuu3ICcBjjz2myiImTpyoThp+8YtfDMlrICIiIqLhwTaZFJUdY6IF98nA4v4cONyXA4v7c2Bxfw7t/uT+pkgy9wsREREREcUIluhQB4sWLYKhkz7hV155pboRERHR0Hv00UdV6W2k7ibApNGJGXzqYM2aNdi8eXO722AE9w8//PCAPt9gPedgGCmvnfsz+p9ztL7ukbAvR9Jr5/6M/ucUl156aYfjs9zkuE3UFgN8iqkPQB6kov85B8NIee0jYX+OlNc9EvblSHrt3J/R/5xEvcEAn4iIiIgohjDAJyIiIiKKIQzwiYiIiIhiCAN8IiIiIqIYwjaZ1Co855lMmNFZC67OlvfHSHjO8HNF+3aOlOfk/hy45+S+5N9mND8n9+fQ7s/wcs5dSmGcyZZa7d+/H7m5ucO9GURERNQHxcXFGDdu3HBvBkUBBvjUKhAIoLS0FAkJCdDpdMO9OURERNQDEso1NTUhJycHej2rr4kBPhERERFRTOFpHhERERFRDGGAT0REREQUQxjgExERERHFEAb4RD1QXl6OCRMmqMHH9fX1nXYgOv/885GZmQmr1Yrp06fj97//vWqVRsC///1vnHnmmWq/xMfHIzs7G8cccww++OCDTtfn/uyay+XCzTffjEmTJsFisWDs2LH46U9/irq6uuHetKhWXV2Nm266CYcccogaiBgXF4fCwkLceOONaGho6LD+E088gXnz5sFmsyE1NRWnnXYatmzZMizbPlLcfffd6jPymmuu6XAf92fPGl089dRT6rNRPvtMJpP6rIzEfUk9wUG2RAfQ0tKCww47DF999ZX6XgKp5OTk1vsl4J8/fz6qqqpw+eWXq4Dr3Xffxeuvv45rr70W999/P0a7Qw89FPv27cOKFSuQn5+PyspKPP744ygrK8MzzzyD8847r3Vd7s/unX766Xj11VfVCdCCBQuwbds2PProo2qfffrppzAaOb1JZ+Rv6Pjjj1fBk/w9yonjJ598ovblzJkzsXbtWnXCJP7whz+oIHXZsmUqeJL3/COPPKJOMOVzIC8vb7hfTtR54YUXcO6556puLldffTUefPDB1vu4Pw9MOuDI56MkPY466igcffTRKsD/5ptvVNAfxn1JPSYBPhF1zu/3aytWrNDGjh2rHX300XIyrNXV1bVb54477lDLX3/99XbLv/e972kGg0Hbs2ePNtp9+OGHal+2VVxcrNntdm3q1KntlnN/dr8fZd9cf/317ZY/9NBDavnTTz89bNsW7YqKirRdu3Z1WH7VVVepfff888+r75uamrTExERt8eLF7f5m169fr+l0Ou2SSy4Z0u0eCT799FPNYrFoF154odqXV199det93J89c/bZZ6t998wzz3S5Dvcl9QZLdIi68Ytf/ALvvfce/vOf/6hMcmdeeeUVdd+JJ57Ybvlll12msiqvvfYaRju5AhLZm1kmY5HSm6KionbLuT+7JvtGXHrppe2WX3zxxSpzv3LlymHasugnJXZS1hTp2GOPVV/Df4fyfpdZQWWftv2bnTNnDhYvXqwy/rzw/Z1du3apzPMPfvAD3HbbbR3u5/48sK+//lpdAbngggvaXc2MxH1JvcEAn6gLDz/8MP74xz+qD965c+d2uo4EnJs3b1aBaqRZs2aprxs2bBj0bR2J5EAktfZtT5y4P7snr10u20uZU1t2u10Fr6N53/SVlI6J8N9heB9KfX5nf4M1NTUoKSkZ4q2MTrW1tepEXPbVY4891uk63J8H9txzz6mvP/vZz9TX5uZmVbITifuSeoMBPlEnpN47XEd60kkndXuA83g8SEpK6nBfWlpa6wBd6ujll19W+0Yyf2Hcn92T156YmNjpTNOyf0bzvukLOaGU+mUZcBu+YhTeh/wb7J68T2U8iJyoy5Uls9nc6Xrcnz3L4MsVOGlGIDX00ohA3udjxozB//7v/7Y2F+C+pN7gaCyKaU6nE08++WSP1p06dSqOPPJIrF+/HmeffTauvPJK1Z3kQB1NhAQIkSTTGt6G0bw/u7qs/5Of/ATjx4/HDTfcMGr3Z2/J/uls34T3z2jeN31x/fXXq0GM0qEpHCDxb7BnLrnkEnz77bf44osvVCeXrnB/HlhFRYUK4mXQtzQSkPJF6fok3XKk7EmC9j//+c/cl9QrDPAppkn7Owkke0LqHyUglfVnz56t6u+lhKRtNx1RWlqq/i2t9qQTh+isfaPX61VfpZXZaN6fkYqLi1UnE9k///rXv5CSktJ632jbn70l+yd8kO9s/4zmfdNbd911Fx544AFceOGFKqgK49/ggb399tuqrOTZZ59V+yv8ORnOHjscDrVMuo1xf/bsakhubq7q9BR5EiWdsqRL1q9//WvuS+oVBvgU0+QSZ28HHUkGRLJ6MiivMzNmzFCXSKWdowSnkjnprAe5ZGBEVlYWRvP+bGvnzp0quJeBYhIkRI5tGG37s7fktUcOSm67f0bzvumNW265BXfeeadqNfq3v/2tXclTeB/yb7D7z0jp2X7OOed0er/U48tNTqC4Pw9MroDIVc1IUrYjrV2l9n7Hjh3cl9QrDPCJIsjA2s4mvpF6fOliIINuw33w5QNYBoRKD20JfNsGCqtXr243OHS0k9InOVjJPvvoo4/UiVIk7s/uyWuXPtmbNm1Svdvbjl2Qk6dTTz11WLcv2klQKmV3f/nLX1TWXkpzIsczhP++5O/toIMOanefLJP3vpRQjGZLlixR9eKRZH4LyTrL36F0epL3uLzvBfdn1yTRIftCrg7LleG2wsF8QkIC/zapd3rVVJNoFLvgggs67YN/yy23qOVvvfVWu+VnnnmmptfrtZ07d2qjnfS0j4+P12bPnq3t27ev23W5P7v23nvvqX3zq1/9qt3yP//5z2r5448/PmzbFu0cDod26qmnqr+h+++/v8v1Ghoa1PwMS5cubddrfNOmTarXuHwOUOdkjorIPvjcnwe2atUqtd9+9KMftVteU1OjZWZmapMmTdICgQD3JfUKZ7Il6iGp1ZUBppEz2UprMsnASFszmXlVphZftWqV6kks2UK5IjCayWy1Ul8qtaG33nqrykR1NyCX+7N70u3lrbfewkUXXaT6X8ule+kEIxn9L7/8snWwHbUng+ZloKJ0xTr55JM7XUd6kMvf53333acGfy9fvlytK+V4//d//6fGP6xZs6ZDm1IKkvKxiRMndpjJlvvzwOT9LINqDz/8cPU3KmWM8r2U3rz55ps44ogj1Hrcl9RjvTsfIBq9usrgh2fJPOecc7T09HTNbDar2VnvvfdezefzaaNdOKvX3S0y88T92bXm5mbtl7/8pTZhwgTNZDJp2dnZ2uWXX66yfXTg9293t7azJD/yyCPqipPM0JqcnKydcsop2saNG4f1NYzEDH4Y92f3JCP/wAMPaIWFheozLyUlRTv99NO1DRs2dFiX+5J6ghl8IiIiIqIYwomuiIiIiIhiCAN8IiIiIqIYwgCfiIiIiCiGMMAnIiIiIoohDPCJiIiIiGIIA3wiIiIiohjCAJ+IiIiIKIYwwCciIiIiiiEM8ImIiIiIYggDfCKKOXl5edDpdK03vV6P+Ph4zJgxA5dffjk2bNjQ4TEXXnihWvfOO+/EaOP3+3HUUUep13/SSSfB6/X2+LG33367etyPfvQjjASvv/46zGaz+nv49ttvh3tziIgGBQN8IopZy5Ytw4oVK3DyySdj/vz52Lt3Lx555BH177/85S/DvXlR48Ybb8T777+P5cuX4+WXX4bJZEKskhOYF154AU6nE9/73vfQ2Ng43JtERDTgGOATUcy6++678eqrr+K1117DRx99hJKSElx33XUqY/2zn/0M69atw2gn++W3v/0txo0bh3/+85+wWq2IdRLY/+pXv8L27dvxi1/8Yrg3h4howDHAJ6JRIykpSQWzixcvVkH+3//+d4x2v/zlL9XXhx56CKmpqRgtbr31VkyePBmPP/44tmzZMtybQ0Q0oBjgE9Goc9hhh6mvu3bt6vT+zZs348c//rGq5Zd67ZycHPV9bW1th3WLiorwP//zP1iwYAHGjh0Li8WCuLg4TJ06VT1GssSdqaioUFcTCgsLYbPZVOZ80qRJOOuss/Dss8/C5/N1eMx7772H0047DWPGjFHblZGRoUpO/vvf//ZpP8iVjS+//BIHH3wwTj/99G7XXbt2Lc444wz1M+X15efnq7r7rurYGxoa1P3y3Lm5uer1yeuU13jeeeep52tr1apVqpY/LS1Nlc90prm5GSkpKWpMxdatW1uXS5nN//7v/2LevHmqtl72jfxMKc+SkqyWlpYOzyW/Jwny5UTvtttu6+EeIyIaITQiohgzYcIETT7ePv74407v/9GPfqTuP/3001uXXXDBBWrZtGnTNKPRqNntdu3II4/Uli9frsXFxan75s+fr3m93nbP9cEHH6j7EhMTtXnz5mknnHCCelxKSopaHh8fr61Zs6bdY7Zt26ZlZmaq+7OysrRjjjlG/Rz5tyyT2549e9o95he/+IVaLts2d+5c7bjjjtNmzZrVuv4DDzzQ6/106qmnqsc+88wz3a732GOPaQaDQa07ZcoU9RoXL16sXlv4519yySXtHiPbL8tl382ePVtt71FHHaWNGTOm9XW89tpr7R4j68l9//d//9fpdjz88MPq/hNPPLF1WWVlpZafn6+WJycnq/0o+zP8NyA3+R11xuPxaOnp6ZrJZNKqq6t7seeIiKIbA3wiGlUBvtvt1iZNmqTu/93vftchwLfZbNo999yjORyO1vuKiopU8Cj3v/LKK+2er6ysTPvyyy81n8/Xbrl8f9FFF6nHSMDZlpxYyPIf//jHHR73+eefa9/73ve0vXv3ti575JFH1PqHHnqotnv37g7rJyQkqIA58qSgO3KiIicxFotFa2xs7HK99evXqwBYbs8991y7+5xOp3bxxRd3GuA3NTVpq1atUvu7rUAgoN12222tJwuRJxKyXE5cIsnjpk6dqu7/73//27r82muvVctOOukkzeVytXvMxo0b1XZ1daInwr+jf/zjH12uQ0Q00jDAJ6JRE+BLlvb73/9+a+a8vr6+Q4B/xx13dPqc5513nrr/hhtu6PF2bNmypTWz3JZcJZDl//73vw/4HHICkJ2drTLhtbW1na4j2yTP9/vf/77H27Zp0yb1GMnEd+fss89W6/3kJz/p9P5wsB4Z4HdHTgzC2fW2vwMJ0DMyMtTy999/v91j3nzzTbV85syZ7ZYff/zxavkf//hHrS/+9re/qcdff/31fXo8EVE0Mg53iRAR0WD5f//v/6mBo9LXvbKyUvW/93g8qqb+X//6lxp0G0nquzsjde+iszp8h8OhOtC8++67asCmrNPU1KRu4fvbmjNnjqohl/aU0pLyiCOOUDXhnVm/fj3KyspU7flFF13U6ToyDkDs3LkTPbVnzx71debMmV2uEwgE8Oabb6p/X3rppegt2devvPIK3nrrLVWrX11drfZJ29aUsm/CvwfZB5dddpmai0AG/R555JGt68n34tprr+2wL+X577vvPmRnZ+P444+H3W7v8TbKGIi2+4OIKBYwwCeimPXxxx+3Bu2JiYlqEOaJJ56oWmRKwNwbMngzHPS29emnn6rBp+Xl5ep7+TkTJkxQHVqE9JeXq6Vt/eY3v8E333yDTZs2qYBUgvzp06er/vynnnqqGhwaPtHYvXu3+lpXV6dOSrrT2WDSrsggWCGDWrsiJyrh9cKvp6e2bdum5h8In3RI0C37RW6yL//zn/+o5ZH75oorrsC9996rBgDLiYsMdJaByhLEZ2ZmqgG6bd1www2q1efnn3+ufg+y3woKClp/1z/4wQ+6PHkS4c5B4ddJRBQLGOATUUwH+IceeuigPb8E1NLVRjLTEszeddddmD17duv9EqBOnDixw+MkaJXMvAS5MrOqdJSRzj1yheGJJ55QE3RJZxwJTMMnFEuWLMFnn3024K+hqysWou2Mtt0FyZEkaP/+97+vgnvZ7vvvvx8HHXRQu58lHXM6I1n4M888U3US+tOf/oTf/e53KnsvzynBf+R2yIma/J7l6onMebBmzRp14iRXSJ5//nncc889+PDDD5Gent7pz4s8YSMiigVsk0lE1EcSWEpwL+0xV65c2S64PxAJVCUIll78EthLBllmkc3KylLP+9hjj6n1ZAIqIQGrtHQcKOGymPr6+m6z2waDQf1byoR6SjLuUpIjr1FOYGTege5OJCJdc8016qvsA/m5Tz75pHqun/zkJ52uL9t43HHHqdmJ5WRJSoDeeecd1apUTpykfKcrcmVEdFauRUQ0UjHAJyLqo3BwKAG+lNn0VGd93qW3vMywGi5BCfd5X7RoEZKTk9XPkux+d3pzAhC+stC2n3wkCaqlxl2Ea/F7om3Q3NtSKLFw4UIsXbpUnXzIlRGp05f9IiU6PdmX0gf/mGOOwZVXXnnA17hx40b1tbMrLUREIxUDfCKiPgoHv1JP/9VXX7W7T2rvTznllE4fJ7X2f/zjHzvUfUtgHJ60Knw1QIJVGYwrfvrTn6ogP7KsREpSLr744gPW6Lcl2W2pi5eMt9vt7nI9eV4hdfH79u1rV77z4IMP4g9/+EOHx8h4Ajk5kIHN//73v9vdt27dOlWC1NMs/tdff93p4NowGcMgpVEycVhk4C91/KK7KytSvx8+qSAiihnD3caHiGioJ7rqTLhN5q9//etetYOU72W5TAQlLSelbWO4z354O+S+tpKSklone5LJsWTiJulxb7Va1fJjjz223YRa0gP+iiuuaG0tKW0zZZ3ICZ3++c9/9mmiq8je/pFtOmXiLllPtu+II47Qjj766NaJvMJtLSP3i+zH8HbJBGEyOVZhYWG7/SK34uLiTn+uvP7c3NxO5xFoa86cOWodnU6nWmjKzzn88MPVxGOyXCYFa2ho6PSxzc3Naj1OdEVEsYYZfCKifnjkkUdUdlsGzko2XDL50nFGMu0y8LMzMujzuuuuU1cAdu3ahbffflvVrB988MF49NFH8cYbb8BoNLYbkPrwww9j1apVOPfcc1V2XJ5DblLbLuUr0o6yqysGXbnkkkvUV7ma0BWpb5c6+ltvvVWVIknXIBkgfNhhh6mrDTLwtTM333yzqqGfMWOGKoNZvXq1qumXAbPSSvRA5PWHB8Z2lb0XMm5Btk0G85aUlKjae7lKIFcRZICudNeRzkadefzxx1W9vgyU7q6bEBHRSKOTKH+4N4KIiIaHDID98ssv8d5772H58uWIFnJyJHX0EqjLyU9XXXf6Sur6pZ2mlBHJCYj8HCKiWMEMPhHRKBbuMCMDUnvTR3+wyVWRcC3+QAf34f750qFHJg9jcE9EsYYZfCKiUe6Xv/wlfvvb36ryn2eeeWZQAurekIG1CxYsUGUzxcXFsNlsA/r8Uj4lgb1k8KVvflclPEREIxUz+EREo5xMBiXlOc8995zK5A933iecvb/88ssHPLh/4YUXcOmll6oOQjJ3AYN7IopFzOATEREREcUQZvCJiIiIiGIIA3wiIiIiohjCAJ+IiIiIKIYwwCciIiIiiiEM8ImIiIiIYggDfCIiIiKiGMIAn4iIiIgohjDAJyIiIiKKIQzwiYiIiIhiCAN8IiIiIqIYwgCfiIiIiCiGMMAnIiIiIoohDPCJiIiIiGIIA3wiIiIiohjCAJ+IiIiIKIYwwCciIiIiiiEM8ImIiIiIYggDfCIiIiKiGMIAn4iIiIgohjDAJyIiIiKKIQzwiYiIiIhiCAN8IiIiIqIYwgCfiIiIiCiGMMAnIiIiIoohxt4+wO/3w+v1Ds7WEBERERFRByaTCQaDAQMa4GuahvLyctTX1/f0IURERERENECSk5MxZswY6HS6gQnww8F9ZmYm4uLiDvjERERERETUf5Job2lpQWVlpfo+Ozu7/wG+lOWEg/u0tLQB2EwiIiIiIuopm82mvkqQLzF5d+U6PRpkG665l8w9ERERERENvXAsfqDxsL3qosOyHCIiIiKi4dHTWJxtMomIiIiIYggDfIpZt99+uzrTXb9+/XBvChENsby8PMydO3e4N4OIaFjEfIB/4YUXqiDvQLcjjjiiR+vJbdWqVeq5e7oexZa33npLnTxEW8vY8AnNE088MdybEpX4WUAD4Te/+U1UvsfkhIZltF3j+3/04O+6jxNdjTQXXHABFi9e3Ol9+/btwz333KM+GH/+85/j7LPPbr2vpqYGN998M5YvX44f/OAH7R5XUFDQ+u85c+bg8ssv7/T5265HsRXg/+EPf1AfItKPNlqcfPLJqjfukiVLhntTohI/C2igAny5MiDv/2hy1113oampabg3I2rx/T968HcdovWA0+nUNm/erL7GCpfLpS1cuFCzWq3a119/3eH+PXv2aLJ7rr766i6fQ+5fsWLFIG8p9dVtt92mfkfr1q0b0OeVvwl5XvkboZGPnwWxacKECdqcOXMG/HmTkpK0ww8/fMCfl4YH3/+jhytGftc9jcljvkSnK1deeSXWrl2Lv/71r5g3bx6iSVFREc477zykpKTAbDajsLAQxx57rLr88+qrr/Yr83z00UeryRESEhIwe/ZsdRa6c+fO1nXkZ5x22mkdHnvNNdeo+2TbIi+DrVmzBueffz4yMjJUj1a57LVx48YOz7FlyxacddZZaj2LxYKpU6fid7/7nZq8oe1rl+eUn/fiiy+qbLTVam2d0CFchvLGG2/giiuuQE5Ojrp/4cKF+PDDDzt93dXV1bj++uvVGbu0l1qwYAHee++9DuvV1tbiZz/7GXJzc9X2yfq//OUv4XA42r1myd6LiRMntl6Wk+0ajN/J0qVLkZSUpCa3iPSnP/1J/ew333xTff/ggw9G3SXCkSBaPwvCf+vyd/2rX/0KEyZMgNFoVP/uLbfbjf/93/9VmSf5O5MrPYcddhjuvfdeNc+JkLKTrj5j5EqVvK/bCn9WvPTSS+p9Ku8teW9fffXVcLlcHZ7jmWeewUEHHaTWk2046qij8Pnnn/fqNYfr6uX9K++b+Ph4tW3/8z//g7q6uk5f+2effYZTTz1VvY9k+yRjV1VV1el6xx13nFpPtvHggw9Wry3yNTc0NKjta3tZvu3n4kD9TrZt26ae+0c/+lGnj5fPvLFjx7b+/mS/yP6h2Hj/D2YsMFpdOQo+60dViU5n/va3v+Gxxx5TAaJcyukPOZDt37+/w/L09HQVePbWnj171IFFArqLL75YfWBv374dL7/8cr+28/XXX8cpp5yiAsirrrpKBbDr1q3Ds88+i5kzZ+KnP/1pn59bDu4nnHACbrzxRhQXF6s3jxy8N2/erPaDkJMAuewlH1Q//vGP1Vf5Y5bAu6ysDL///e/bPaf8fp566ikVUJ977rkdLj3LaznkkENw7bXXqsD8//7v/9Q2fPXVV5g+fXq7deXgLh+MEjgHAgE88MADOOmkk9R+HT9+vFpHgvhly5apg6r8TchzyOBcOQH56KOP1E0+YOU+eY3vv/8+7rzzztaJ3+RgOxi/k0suuUQd4FeuXIkf/vCH7R4vAZmcjEhQQrH3WdC29Eou+/7kJz9RfyOTJ0/u9XNIAPzPf/5TBQvyuSLjRyRIlgOIHPQkUO6Lf//73+qEUt6nZ5xxBt5991089NBDaGxsxOOPP966nvwcCVwlOJGDmXy+yftbTho+/fTTDu+f7l6zJA/kfkkqyPv4yy+/xNNPP632vbwv29q6dav6GRLUSzC9YcMG/P3vf1fbJ0mCsLffflu9FyVhIO87SVTIe04u08sJvbw/xV/+8hd1WX/cuHHqa1hfJoA80O9EEiCHHnqoWkf2adt5aDZt2qQ+6/7f//t/3U50E80Cfj/KPv4YLWVliMvORvayZdAP8WsZjbHAUKoocsDV4uvyfmucEVl5ffvsiaXf9UB+1rczkJcDRoK1a9dqFotFW7p0qebxeLpcr6eXarq6vfLKK33avlNOOUUzGAzaV1991W75448/3q/nPfXUUzWj0ag5HI52y2tra7Vvv/32gJefOitLueCCC9SyN998s926zz//vFp+++23ty6bNWuWNnXqVK2xsbHduhdddJFmMpm0ioqKdvt9wYIF2v79+7ssu/nLX/7Sbvnnn3+ull944YUd1r377ru1QCDQuvyNN95Qy++9997WZbfccota9sILL7R73j/96U9q+QMPPNDtvhis30lTU5MWHx+vLV++vN06mzZtUtsgrzFMtlGWffDBB/3artEi2j8Lwn+/N910k+b3+7W+qqmpUc9zzjnndLhv9erVra+9u8+YzspSZN3Zs2e3vneFvM+OP/54TafTtb4/1qxZo9a98cYbO2xXWlqaeh/09DVL2U12dra2a9eudssvu+wy9bhVq1a1WzcjI6NDid6ZZ56p1i0vL1ff+3w+LS8vTz2vvPfC3G63+tuQv5Hwul3ti8H6nTzxxBNqvaeeeqrdOtddd53ax233g5QjyWseCXa+/LL25Lhx2sNA602+l+VDZbTGAkOlfE+TdvH01w54k/VG++/6tl5+1rNEpxMygOL73/++yh7LpVeTydTv55SBHJLFirz1ZaCjZHAkqysZ5/nz52Mg2e12+Hw+lWFrS/aFZLf7I3Iwi2Ty5OeFS0UkayZZN8nEy+VtOfMN36QERWZjW716dbvnkMyVXH7u6c+U7yXj1Vl5imT223aXkOx4OEMSJlkRyeafeeaZ7R572WWXqRKAwcia9OR3IplVKWv64IMPsHfv3nbZe71erzI7FHufBZHvJ/ld95VklORyr7wPS0pK2t23aNGifr12KVOT6dLD5H0m2TE5DoZL5p577jm1XK5AtX3vS2ZSyuUkg9+b1yw/b9KkSe2WhQe8Rr7/JSMf2Soz/P4Pl9V8/fXX6t9ypUz+HsLkip1cIZRSmv/85z8YSD39ncgVhMTExHZde6QkR8qd5Ipo5H4YCXatXIm3zzgDlv37IUe5ZYD6aikpUcvl/tH+/h/MWGCohDP3Y+3zMDFxWYebLG+73mj9XQ/kZ/2AluiUfvQR/G43hpLBYkHOYYf1+nFSmiEBZmlpqbqMG67p7q+srCx1WWUg7NixQ21n+AA0kKSW/J133lE1s3LQk1pY+WM855xzVJnHQJIDl/wM2dfhy+TitttuU7fOSJlNf0mA3lUdflvhcgSn09m6bPfu3Wp/RLaZk9cil0Z37dqF4fqdSOAhlxaffPJJ3HrrreoAL2U8xxxzTGuJ0XDbtrYGPk9gyH+u0azH1IVpMfdZMJCktOOWW25R7z35e5GSMAmspYb9e9/7ngpkB1L4b7Lt+18C/hkzZnS6/kC0doz8mb15/8t7X+Tn53dYd8qUKerrQL//e/o7kfXk80BKEOUEX2pzpZyovLxclRqOxLKcT6++Gmmahlnyuw8tTwIwS9OwUafDZ9dcg4krVgxauc5ojwWGmtkQD5txeLrNBUbA73ow9SvAl+De38lgqmgkH6YSTEkto2SHo5FksoXUfw40yWJJ/Z4MXP3444/VQBMZpHPHHXeoTEHkALr+kho1yTyF32ThgFbq3LvavoH4mT05O+8qoGg72Hco9PR3ItkCCY4kwJe/YznAy7iFP/7xj4gWEtx73cHBftFuJHwWDDQ5MVyxYoXKYMl4GKkvl5NGyQ5KBr0/daORwgNsw+9Fef/Lv+VnDpbInzkS3v89/Z3ICf4jjzzSeoIv2Xyp+T/99NMx0kjNvWP/fkgjwcjfgnw/QdPwdXGxWm/sAB+TRtL7fzBjgdHklhHwu47aAF+y6UOtLz/ztddeU31P5RKxdEmJVuGzSxnEORhSU1PVQNNw/1Y5qMhAVRn8Fg4mZWBHZx1bekMGsMkZswwQEuHLyJKVGqyzXslqS9YjcoBtT8k2yuPlIN82APB4PCrDJxm2sPCgtvCJy2D/ToQMtpVBfTLYVw70UqYgl2+jhWTSR8LPHSmfBYNBurXILfx+ueGGG9Tg9n/961+qDCwcUPb3/R++Yhd+L8p7S05K5ft+Dxrr4c/sjfDnkwyw7+p52263vP8H4r3fk9+JkAHI8vkj73sZACx/w+FBeCONDKgV9i7ut0esN9BGyvt/sGOB0eC1EfK7jtoAvy+lMkNN2g1KtwL5EJXLnNFM6lnl9sorr+C+++5rvZQsB5PO2k72hnSOkEu/bSdmkgyyHNTbtrSTchTp5CIZhHA2rKKiQmWXezMRjByswhNIyKVneV3SxlE6RkybNq3d+pLFloC1P5NGSeZLLltfd911fXq8ZMNkohjpxiF/L2EPP/ywOmGRfRcm5TThg39/amB7+jsR0jFEumvIZXlprSldPQailnCg9LZMZjiMpM+CgSQTu8iJo9Shtg1Sw51rwn9r4RaL0pVGLmuHyaXttuVs3ZFuV5Itk3aU0kkrXFcq3WfCwWnbv1s5oZbPFqk77yv5rJLPS0kg9CWrLRlzKX2RLhtyEh3u/CW19xJsy/NKt5627/9wCUVf62V7+jsJkyy+vOelA4hs16WXXoqRSLrliOZQWU6k5oj1Ruv7fzBjgdFgJP2uB1PMt8mUAV8ysFPas0kGpCuSDQ0HbsNJWrlJMCe12OEAWdqkyWCs/tSrykFXgl852MoATjlIyIeHtIeUlmxhF110kQokTzzxRNU2TgaiyiXh7rJ6sm8lMy+DRqXURLJP8n04KJYDlwTg8pzSe1ZqSqXkRIIGWV8GmUr2rDcBvgQg8vxyqVoGyUlNuhyo+9ruU8qH5FK5DFqVgXqyj+RERwYISvAhB9a2r1cO7DIAVzLvkuWXA7Psr8H4nQgJOuRyvvwtiK56Y1PsfBYMFBnfIn9jcrCT96XUj8ogV3lPylgP+bsS8ncu70s5qQ3PPSGDu6WdZFcZa8nMy0m7vPfkRPj5559XB1f5Gr4iIINB5b0iZSaSYZdtkeeWIFcGpsnJ/SeffNLj1/Ptt9+qbZYrXfLek/eMfAZIINSX35t8Pv35z39WzymvQz5/pTRCPg+++eYbFeRLj/q2g/Z/+9vfqve7XGWT2vi77767tSRxIH8nYbKPpaXwP/7xD3Vs6G9jhOEirTDjx43D3pISVXPf9mgmBVJ7dTokjBun1hvt7//BigVGg5H2ux40sd4mU9qGddfWKHyLbC04nDOaSRusgoIC1T5yzJgx2hVXXKH99re/VT/vrbfe6tNzyuOkPdzYsWNbn1fa2b3//vvt1vN6vdrNN9+sjR8/XrWVmjdvnvboo49qP/vZz7pskyn7KD8/X60vj5PHy4xxkaS14w9/+MPWbcjJydGOPvpo7c9//nPr+gfa7+F2Updeeqk2Y8YMzWazaVlZWdpPf/pTrb6+vtN1I9vk1dXVqeWy/W1VV1drV155Zev2yWv5xS9+0aG1p3j66adV20+z2aza60lr0MH6nYS9/fbbaruXLVvW6f1skxlbnwUDNRNzc3Oz9rvf/U475JBDtMTERPU+lfervJ7S0tJ260rbxRNPPFG1gkxOTtZOP/10NeNjV20ypTXj9773PdWOUp734IMPVm1oOyPvmcMOO0xtg8wkKe8faWv74Ycf9vg1y+8wNzdXvXflfSc/U1p1RraR7G4m267eJx9//LH6PEpISFDbt2jRog5tc4V8Hsjnj3zuyHrTp0/XGhoatMH6nYRJS03Z7scee6zT+0dKm0xphfmwTqe9oNNpnwPaBkB9le9l+WC1yhxp7//BigWGStG3daoN5i0Li7VfH1zX4SbL5X5Zb7T/rm/r5Wd9T2Py/9/e3aO2EYRhAFYOkCO4CqjzBdKlEuRIOUBK4dO4TamrCF1BTXgXNjiCsLPR7Gp29DwgF8YshkHDu/PzfZ/yY+olINuFWcnNllHNy1i9y4pWPiVSreXjKtGtrBhllTnbc1kFyyXLUmPn2NpSmi5vx+kgec/xmjnSJCeXULO6XuNibi05ktTCmND/XFDzWffICmJWmtfsqJljRJlr0oSuJa2MyVakFGaq6eTC7ejzy8vu69vb7suH45C9WCoLtFxlJ02ufnz/Nfl3P9+/rdbsqpe5oDSTd39E55GOx+MQRkvkDGhqMSco3nYmzPZ4tuayrZ1wn4s3GdhS2WavXSWHvxkTas8FazyLOozJPAnxKYX56E62W88CLUtoT3hvpZPtM84FAv6Cck78tgX7v4xtyE+n01Ax5XA4DHWZ86aWM+25kJXW7/nC57xmzq6Wen1NxWGWZEyoPRes8SzqMCbzJcwvVQrzWbJA63oL71ubCwT8Be33++EzNyjm7TyX1NLNLpe9cvErX+yxLGJ+t4UmC8/EmFB7LljjWdRhTHhEFqA9+4bmAmfwAQBgA0oz+WO60wAAAIuYFfDXbuUNAADMy+JFAX/sPHhvC3MAAOD/jFl8qpt90SXb3NZO7eHL5fLn5q8uagAAsM7KfcJ9sngy+VQlpaJLtuODz+fzcJsbAABYV8J9GmRNLbQXB/xRmi9cr9d7/z8AAKBQjuWU9kCYHfABAIB2KZMJAAAdEfABAKAjAj4AAHREwAcAgI4I+AAA0BEBHwAAOiLgAwDArh+/Aem27BvMX7EjAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# sanity check plot\n",
     "import os\n",
@@ -3453,7 +275,6 @@
     "    random_state=config.random_seed,\n",
     ")\n",
     "\n",
-    "print(len(sampler_results), sampler_results.metadata.tail())\n",
     "names = sampler_results.metadata.index\n",
     "\n",
     "formatter = Formatter()\n",
@@ -3484,6 +305,97 @@
     "    "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "58d5600e",
+   "metadata": {},
+   "source": [
+    "## Step 2a: Hierarchical Bayesian Inference (slowest)\n",
+    "Optimize priors hierarchically for the dataset. Uses subset (~500) of objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "87903831",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snapi.scripts import fit_many_hierarchical\n",
+    "from snapi import TransientGroup, SamplerResultGroup\n",
+    "from superphot_plus.samplers.numpyro_sampler import SVISampler\n",
+    "from superphot_plus.priors import generate_priors\n",
+    "from superphot_plus.config import SuperphotConfig\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
+    "config = SuperphotConfig.from_file(\"config.yaml\")\n",
+    "priors = generate_priors(\n",
+    "    [\"ZTF_r\", \"ZTF_g\"],\n",
+    "    priors_dir='priors',\n",
+    ")\n",
+    "\n",
+    "transient_group = TransientGroup.load(config.transient_data_fn)\n",
+    "print(len(transient_group))\n",
+    "print(\"Transient group loaded\")\n",
+    "\n",
+    "svi_sampler = SVISampler(\n",
+    "    priors=priors,\n",
+    "    num_events=500,\n",
+    "    num_iter=20_000,\n",
+    "    step_size=0.01,\n",
+    "    random_state=42,\n",
+    "    max_length=100,\n",
+    ")\n",
+    "\n",
+    "global_priors, indiv_results = fit_many_hierarchical(\n",
+    "    transient_group,\n",
+    "    500,\n",
+    "    svi_sampler,\n",
+    "    pad=False\n",
+    ")\n",
+    "global_priors[0].save(\"hierarchical_svi_global_loc\")\n",
+    "global_priors[1].save(\"hierarchical_svi_global_scale\")\n",
+    "srg_indiv = SamplerResultGroup(indiv_results)\n",
+    "srg_indiv.save(\"hierarchical_svi_srg\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9e9fb1af",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from superphot_plus.priors import generate_priors, SuperphotPrior\n",
+    "from snapi import SamplerResult\n",
+    "import os\n",
+    "\n",
+    "# convert global SRs to new prior files\n",
+    "all_bands = [\"ZTF_r\", \"ZTF_g\",]\n",
+    "priors = generate_priors(\n",
+    "    all_bands,\n",
+    "    priors_dir='priors',\n",
+    ")\n",
+    "global_prior_mu = SamplerResult.load(\"hierarchical_svi_global_loc\")\n",
+    "gauss_prior_mu = priors.reverse_transform(global_prior_mu.fit_parameters)\n",
+    "global_prior_sigma = SamplerResult.load(\"hierarchical_svi_global_scale\")\n",
+    "gauss_prior_sigma = priors.reverse_transform(global_prior_sigma.fit_parameters)\n",
+    "\n",
+    "df = priors.dataframe.copy()\n",
+    "\n",
+    "all_params = df['param']\n",
+    "df.loc[:, 'mean'] = gauss_prior_mu[all_params].mean(axis=0).to_numpy()\n",
+    "df.loc[:, 'stddev'] = gauss_prior_sigma[all_params].mean(axis=0).to_numpy()\n",
+    "\n",
+    "print(df)\n",
+    "\n",
+    "global_priors = SuperphotPrior(df)\n",
+    "\n",
+    "global_priors.save(\"priors/global_priors_hier_svi\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "4ae4ce7d-b8ad-402f-8d3a-84fc21fb9b85",
@@ -3512,406 +424,7 @@
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Transient group loaded\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/superphot_env/lib/python3.11/site-packages/dynesty/dynamicsampler.py:530: RuntimeWarning: All the initial likelihood values are the same. You likely have a plateau in the likelihood. Nested sampling may not be the best sampler in this case.\n",
-      "  warnings.warn(\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:33:39,406 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,406 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,407 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,407 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,407 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,408 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,410 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,410 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,410 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,410 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,410 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,411 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:33:39,412 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,412 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,413 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:33:39,413 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:23,206 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:29,297 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:32,821 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:34,040 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:37,476 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:39,829 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:41,865 - MainProcess - Worker done\n",
-      "2024-12-03 18:36:44,997 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 0 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:36:53,847 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,847 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,847 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,847 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,848 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,848 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,849 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,849 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,849 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,849 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,850 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,850 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,850 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:36:53,851 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,852 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:36:53,854 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:39:51,697 - MainProcess - Worker done\n",
-      "2024-12-03 18:39:52,941 - MainProcess - Worker done\n",
-      "2024-12-03 18:39:55,397 - MainProcess - Worker done\n",
-      "2024-12-03 18:40:08,550 - MainProcess - Worker done\n",
-      "2024-12-03 18:40:10,279 - MainProcess - Worker done\n",
-      "2024-12-03 18:40:10,753 - MainProcess - Worker done\n",
-      "2024-12-03 18:40:18,442 - MainProcess - Worker done\n",
-      "2024-12-03 18:40:20,559 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 1 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:40:30,579 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,579 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,579 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,579 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,579 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,580 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,580 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,580 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,580 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,581 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,582 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,582 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,584 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,585 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:40:30,586 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:40:30,588 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:43:13,075 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:28,142 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:30,911 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:40,493 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:45,660 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:47,619 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:53,683 - MainProcess - Worker done\n",
-      "2024-12-03 18:43:55,577 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 2 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:44:05,388 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,388 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,388 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,389 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,389 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,390 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,390 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,390 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,390 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,391 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,393 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,395 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,395 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:44:05,395 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,400 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:44:05,400 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:06,044 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:08,247 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:09,604 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:09,990 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:11,428 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:12,249 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:16,500 - MainProcess - Worker done\n",
-      "2024-12-03 18:47:34,145 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 3 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:47:44,712 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,713 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,714 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,715 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,715 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,715 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,716 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,716 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,716 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,716 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,716 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,717 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,717 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,717 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:47:44,724 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:47:44,735 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:50:36,507 - MainProcess - Worker done\n",
-      "2024-12-03 18:50:40,353 - MainProcess - Worker done\n",
-      "2024-12-03 18:50:41,972 - MainProcess - Worker done\n",
-      "2024-12-03 18:50:49,938 - MainProcess - Worker done\n",
-      "2024-12-03 18:51:01,112 - MainProcess - Worker done\n",
-      "2024-12-03 18:51:02,862 - MainProcess - Worker done\n",
-      "2024-12-03 18:51:04,868 - MainProcess - Worker done\n",
-      "2024-12-03 18:51:06,060 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 4 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "2024-12-03 18:51:17,464 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,464 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,464 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,465 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,466 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,466 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,466 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,467 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,467 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,468 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,468 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,468 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,468 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,468 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:51:17,475 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n",
-      "2024-12-03 18:51:17,514 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n",
-      "2024-12-03 18:54:13,631 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:17,249 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:20,157 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:25,891 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:30,580 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:32,198 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:40,927 - MainProcess - Worker done\n",
-      "2024-12-03 18:54:51,104 - MainProcess - Worker done\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process shutting down\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n",
-      "[INFO/MainProcess] process exiting with exitcode 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished checkpoint 5 of 56\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n",
-      "[INFO/MainProcess] child process calling self.run()\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[3], line 19\u001b[0m\n\u001b[1;32m     12\u001b[0m priors \u001b[38;5;241m=\u001b[39m generate_priors([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mZTF_r\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mZTF_g\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m     14\u001b[0m dynesty_sampler \u001b[38;5;241m=\u001b[39m DynestySampler(\n\u001b[1;32m     15\u001b[0m     priors\u001b[38;5;241m=\u001b[39mpriors,\n\u001b[1;32m     16\u001b[0m     random_state\u001b[38;5;241m=\u001b[39mconfig\u001b[38;5;241m.\u001b[39mrandom_seed,\n\u001b[1;32m     17\u001b[0m )\n\u001b[0;32m---> 19\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfit_transient_group\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     20\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtransient_group\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     21\u001b[0m \u001b[43m    \u001b[49m\u001b[43msampler\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mdynesty_sampler\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     22\u001b[0m \u001b[43m    \u001b[49m\u001b[43mparallelize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     23\u001b[0m \u001b[43m    \u001b[49m\u001b[43mn_parallel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_parallel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     24\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcheckpoint_fn\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msampler_results_fn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     25\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcheckpoint_freq\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m128\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\n\u001b[1;32m     27\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m     28\u001b[0m SamplerResultGroup(result)\u001b[38;5;241m.\u001b[39msave(config\u001b[38;5;241m.\u001b[39msampler_results_fn)\n",
-      "File \u001b[0;32m~/python_repos/snapi/src/snapi/scripts.py:109\u001b[0m, in \u001b[0;36mfit_transient_group\u001b[0;34m(transient_group, sampler, parallelize, n_parallel, checkpoint_fn, checkpoint_freq, pad)\u001b[0m\n\u001b[1;32m    106\u001b[0m transient_batches \u001b[38;5;241m=\u001b[39m [cb[i::n_parallel] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(n_parallel)]\n\u001b[1;32m    108\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m ctx\u001b[38;5;241m.\u001b[39mPool(n_parallel) \u001b[38;5;28;01mas\u001b[39;00m pool:\n\u001b[0;32m--> 109\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstarmap\u001b[49m\u001b[43m(\u001b[49m\u001b[43msingle_worker_fit_static\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mzip\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtransient_batches\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msamplers\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    111\u001b[0m flattened_result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(itertools\u001b[38;5;241m.\u001b[39mchain(\u001b[38;5;241m*\u001b[39mresult))\n\u001b[1;32m    112\u001b[0m sampler_results\u001b[38;5;241m.\u001b[39mextend(flattened_result)\n",
-      "File \u001b[0;32m~/conda_envs/superphot_env/lib/python3.11/site-packages/multiprocess/pool.py:375\u001b[0m, in \u001b[0;36mPool.starmap\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m    369\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstarmap\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, iterable, chunksize\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m    370\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m    371\u001b[0m \u001b[38;5;124;03m    Like `map()` method but the elements of the `iterable` are expected to\u001b[39;00m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;124;03m    be iterables as well and will be unpacked as arguments. Hence\u001b[39;00m\n\u001b[1;32m    373\u001b[0m \u001b[38;5;124;03m    `func` and (a, b) becomes func(a, b).\u001b[39;00m\n\u001b[1;32m    374\u001b[0m \u001b[38;5;124;03m    '''\u001b[39;00m\n\u001b[0;32m--> 375\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_map_async\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43miterable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstarmapstar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/conda_envs/superphot_env/lib/python3.11/site-packages/multiprocess/pool.py:768\u001b[0m, in \u001b[0;36mApplyResult.get\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    767\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m--> 768\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    769\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mready():\n\u001b[1;32m    770\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTimeoutError\u001b[39;00m\n",
-      "File \u001b[0;32m~/conda_envs/superphot_env/lib/python3.11/site-packages/multiprocess/pool.py:765\u001b[0m, in \u001b[0;36mApplyResult.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    764\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwait\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m--> 765\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_event\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/conda_envs/superphot_env/lib/python3.11/threading.py:629\u001b[0m, in \u001b[0;36mEvent.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    627\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flag\n\u001b[1;32m    628\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m signaled:\n\u001b[0;32m--> 629\u001b[0m     signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cond\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    630\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m signaled\n",
-      "File \u001b[0;32m~/conda_envs/superphot_env/lib/python3.11/threading.py:327\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:    \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m    326\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 327\u001b[0m         \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    328\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    329\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from snapi.scripts import fit_transient_group\n",
     "from snapi import TransientGroup, SamplerResultGroup\n",
@@ -3933,7 +446,7 @@
     "transient_group = TransientGroup.load(config.transient_data_fn)\n",
     "print(\"Transient group loaded\")\n",
     "\n",
-    "priors = generate_priors([\"ZTF_r\",\"ZTF_g\"])\n",
+    "priors = generate_priors([\"ZTF_r\",\"ZTF_g\"], priors_dir='priors')\n",
     "\n",
     "dynesty_sampler = DynestySampler(\n",
     "    priors=priors,\n",
@@ -3969,66 +482,7 @@
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/superphot_env/lib/python3.11/site-packages/dynesty/dynamicsampler.py:530: RuntimeWarning: All the initial likelihood values are the same. You likely have a plateau in the likelihood. Nested sampling may not be the best sampler in this case.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# sanity check plot\n",
     "import os\n",
@@ -4106,30 +560,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "9dacf611-9d09-4e09-9999-95c5975675e5",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Converted 0 out of 8301 fits\n",
-      "Converted 1000 out of 8301 fits\n",
-      "Converted 2000 out of 8301 fits\n",
-      "Converted 3000 out of 8301 fits\n",
-      "Converted 4000 out of 8301 fits\n",
-      "Converted 5000 out of 8301 fits\n",
-      "Converted 6000 out of 8301 fits\n",
-      "Converted 7000 out of 8301 fits\n",
-      "Converted 8000 out of 8301 fits\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# warning: only run once!\n",
     "import os\n",
-    "from snapi import SamplerResultGroup\n",
+    "from snapi import SamplerResultGroup, TransientGroup\n",
     "from superphot_plus.priors import generate_priors\n",
     "from superphot_plus.config import SuperphotConfig\n",
     "\n",
@@ -4143,79 +581,36 @@
     "    )\n",
     ")\n",
     "\n",
+    "# also add peak_abs_mag column\n",
+    "transient_group = TransientGroup.load(config.transient_data_fn)\n",
+    "\n",
     "new_sr = []\n",
     "for i, sr in enumerate(sampler_results):\n",
     "    if i % 1000 == 0:\n",
     "        print(f\"Converted {i} out of {len(sampler_results)} fits\")\n",
-    "    sr.fit_parameters = priors.reverse_transform(sr.fit_parameters)\n",
+    "    n = sr.id\n",
+    "    transient = transient_group[n]    \n",
+    "    params = priors.reverse_transform(sr.fit_parameters)\n",
+    "    params['peak_abs_mag'] = transient.peak_abs_mag\n",
+    "    sr.fit_parameters = params\n",
     "    new_sr.append(sr)\n",
     "    \n",
     "new_sampler_results = SamplerResultGroup(new_sr)\n",
-    "new_sampler_results.save(config.sampler_results_fn)\n"
+    "new_sampler_results.save(config.sampler_results_fn)\n",
+    "\n",
+    "print(new_sampler_results.metadata)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "1b9d28ed",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "          A_ZTF_r_median  beta_ZTF_r_median  gamma_ZTF_r_median  \\\n",
-      "id                                                                \n",
-      "2019J          -0.038573           0.005426            1.367325   \n",
-      "2019aafe       -0.049567           0.005790            0.938997   \n",
-      "2019aamp       -0.024724           0.005336            1.354411   \n",
-      "2019aanx        0.014167           0.004023            1.549233   \n",
-      "2019aaot        0.067342           0.003605            1.767469   \n",
-      "\n",
-      "          t_0_ZTF_r_median  tau_rise_ZTF_r_median  tau_fall_ZTF_r_median  \\\n",
-      "id                                                                         \n",
-      "2019J           -15.684187               0.206188               1.596739   \n",
-      "2019aafe         -5.488179               0.277354               1.610640   \n",
-      "2019aamp        -17.224041               0.703987               1.666736   \n",
-      "2019aanx        -30.238449               0.746675               1.815376   \n",
-      "2019aaot        -34.405411               1.424315               2.118348   \n",
-      "\n",
-      "          extra_sigma_ZTF_r_median  A_ZTF_g_median  beta_ZTF_g_median  \\\n",
-      "id                                                                      \n",
-      "2019J                    -0.800827       -0.005130           0.005259   \n",
-      "2019aafe                 -1.655379        0.044932           0.005281   \n",
-      "2019aamp                 -1.485814        0.108435           0.005338   \n",
-      "2019aanx                 -1.469934        0.050910           0.005089   \n",
-      "2019aaot                 -1.264004        0.001620           0.000996   \n",
-      "\n",
-      "          gamma_ZTF_g_median  t_0_ZTF_g_median  tau_rise_ZTF_g_median  \\\n",
-      "id                                                                      \n",
-      "2019J              -0.102046          0.188702               0.091407   \n",
-      "2019aafe           -0.090423          0.230238              -0.102471   \n",
-      "2019aamp           -0.164943         -0.140756               0.184593   \n",
-      "2019aanx           -0.107281         -0.007506               0.237596   \n",
-      "2019aaot           -0.173724          0.163591              -0.339766   \n",
-      "\n",
-      "          tau_fall_ZTF_g_median  extra_sigma_ZTF_g_median  score_median  \\\n",
-      "id                                                                        \n",
-      "2019J                 -0.205900                 -0.056869      3.012313   \n",
-      "2019aafe              -0.130699                 -0.348641      0.572473   \n",
-      "2019aamp              -0.261914                 -0.332337      0.422466   \n",
-      "2019aanx              -0.240845                 -0.324660      0.534078   \n",
-      "2019aaot               0.018295                  0.120300      0.993456   \n",
-      "\n",
-      "                sampler  \n",
-      "id                       \n",
-      "2019J     superphot_svi  \n",
-      "2019aafe  superphot_svi  \n",
-      "2019aamp  superphot_svi  \n",
-      "2019aanx  superphot_svi  \n",
-      "2019aaot  superphot_svi  \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from snapi import SamplerResultGroup\n",
+    "# make summary df and all samples\n",
+    "import os\n",
+    "from snapi import SamplerResultGroup, TransientGroup\n",
     "from superphot_plus.config import SuperphotConfig\n",
     "import os\n",
     "\n",
@@ -4247,171 +642,7 @@
    "execution_count": 1,
    "id": "9076c371-e919-4dc8-807c-b2aa585776dc",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['beta_ZTF_r', 'gamma_ZTF_r', 'tau_rise_ZTF_r', 'tau_fall_ZTF_r', 'extra_sigma_ZTF_r', 'A_ZTF_g', 'beta_ZTF_g', 'gamma_ZTF_g', 't_0_ZTF_g', 'tau_rise_ZTF_g', 'tau_fall_ZTF_g', 'extra_sigma_ZTF_g']\n",
-      "start\n",
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n",
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 1.141 | Train Acc: 57.49%\n",
-      "\t Val. Loss: 0.847 |  Val. Acc: 73.53%\n",
-      "creating model instance\n",
-      "Epoch: 01 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 1.140 | Train Acc: 58.27%\n",
-      "\t Val. Loss: 0.881 |  Val. Acc: 68.19%\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 5s\n",
-      "\tTrain Loss: 1.118 | Train Acc: 59.18%\n",
-      "\t Val. Loss: 1.114 |  Val. Acc: 62.71%\n",
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 1.111 | Train Acc: 59.31%\n",
-      "\t Val. Loss: 1.130 |  Val. Acc: 59.73%\n",
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 1.118 | Train Acc: 58.68%\n",
-      "\t Val. Loss: 1.040 |  Val. Acc: 63.74%\n",
-      "Epoch: 26 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.976 | Train Acc: 65.16%\n",
-      "\t Val. Loss: 0.824 |  Val. Acc: 69.70%\n",
-      "Epoch: 26 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.979 | Train Acc: 64.24%\n",
-      "\t Val. Loss: 0.797 |  Val. Acc: 75.72%\n",
-      "Epoch: 26 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.944 | Train Acc: 65.99%\n",
-      "\t Val. Loss: 1.043 |  Val. Acc: 65.34%\n",
-      "Epoch: 26 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.950 | Train Acc: 65.62%\n",
-      "\t Val. Loss: 1.025 |  Val. Acc: 65.25%\n",
-      "Epoch: 26 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.945 | Train Acc: 66.16%\n",
-      "\t Val. Loss: 1.076 |  Val. Acc: 62.12%\n",
-      "Epoch: 51 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.972 | Train Acc: 65.21%\n",
-      "\t Val. Loss: 0.837 |  Val. Acc: 70.72%\n",
-      "Epoch: 51 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.974 | Train Acc: 64.55%\n",
-      "\t Val. Loss: 0.807 |  Val. Acc: 74.68%\n",
-      "Epoch: 51 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.950 | Train Acc: 65.72%\n",
-      "\t Val. Loss: 1.056 |  Val. Acc: 65.06%\n",
-      "Epoch: 51 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.945 | Train Acc: 65.91%\n",
-      "\t Val. Loss: 1.066 |  Val. Acc: 64.39%\n",
-      "Epoch: 51 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.940 | Train Acc: 66.45%\n",
-      "\t Val. Loss: 1.093 |  Val. Acc: 60.98%\n",
-      "Epoch: 76 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.972 | Train Acc: 65.31%\n",
-      "\t Val. Loss: 0.823 |  Val. Acc: 70.62%\n",
-      "Epoch: 76 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.971 | Train Acc: 64.75%\n",
-      "\t Val. Loss: 0.801 |  Val. Acc: 74.80%\n",
-      "Epoch: 76 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.947 | Train Acc: 65.90%\n",
-      "\t Val. Loss: 1.034 |  Val. Acc: 66.60%\n",
-      "Epoch: 76 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.944 | Train Acc: 66.12%\n",
-      "\t Val. Loss: 1.048 |  Val. Acc: 64.73%\n",
-      "Epoch: 76 | Epoch Time: 0m 3s\n",
-      "\tTrain Loss: 0.942 | Train Acc: 66.36%\n",
-      "\t Val. Loss: 1.115 |  Val. Acc: 62.36%\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from superphot_plus import SuperphotConfig, SuperphotTrainer\n",
     "import pandas as pd\n",
@@ -4429,6 +660,22 @@
     "\n",
     "# train classifier\n",
     "trainer = SuperphotTrainer(config)\n",
+    "trainer.config.input_features = [\n",
+    "    #\"A_ZTF_r\",\n",
+    "    #\"peak_abs_mag\",\n",
+    "    \"beta_ZTF_r\",\n",
+    "    \"gamma_ZTF_r\",\n",
+    "    \"tau_rise_ZTF_r\",\n",
+    "    \"tau_fall_ZTF_r\",\n",
+    "    \"extra_sigma_ZTF_r\",\n",
+    "    \"A_ZTF_g\",\n",
+    "    \"beta_ZTF_g\",\n",
+    "    \"gamma_ZTF_g\",\n",
+    "    \"t_0_ZTF_g\",\n",
+    "    \"tau_rise_ZTF_g\",\n",
+    "    \"tau_fall_ZTF_g\",\n",
+    "    \"extra_sigma_ZTF_g\",\n",
+    "]\n",
     "trainer.run()"
    ]
   },
@@ -4447,76 +694,7 @@
    "execution_count": null,
    "id": "bc790c91-898a-4e3f-b94c-c96377e448af",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/antares_client/stream.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  import pkg_resources\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['beta_ZTF_r', 'gamma_ZTF_r', 'tau_rise_ZTF_r', 'tau_fall_ZTF_r', 'extra_sigma_ZTF_r', 'A_ZTF_g', 'beta_ZTF_g', 'gamma_ZTF_g', 't_0_ZTF_g', 'tau_rise_ZTF_g', 'tau_fall_ZTF_g', 'extra_sigma_ZTF_g']\n",
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 4s\n",
-      "\tTrain Loss: 1.122 | Train Acc: 59.21%\n",
-      "\t Val. Loss: 1.044 |  Val. Acc: 59.70%\n",
-      "Epoch: 26 | Epoch Time: 0m 4s\n",
-      "\tTrain Loss: 0.975 | Train Acc: 65.13%\n",
-      "\t Val. Loss: 1.154 |  Val. Acc: 62.41%\n",
-      "Epoch: 51 | Epoch Time: 0m 4s\n",
-      "\tTrain Loss: 0.971 | Train Acc: 65.51%\n",
-      "\t Val. Loss: 1.055 |  Val. Acc: 62.65%\n",
-      "Epoch: 76 | Epoch Time: 0m 4s\n",
-      "\tTrain Loss: 0.969 | Train Acc: 65.62%\n",
-      "\t Val. Loss: 1.103 |  Val. Acc: 62.32%\n",
-      "Index(['beta_ZTF_r', 'gamma_ZTF_r', 'tau_rise_ZTF_r', 'tau_fall_ZTF_r',\n",
-      "       'extra_sigma_ZTF_r', 'A_ZTF_g', 'beta_ZTF_g', 'gamma_ZTF_g',\n",
-      "       't_0_ZTF_g', 'tau_rise_ZTF_g', 'tau_fall_ZTF_g', 'extra_sigma_ZTF_g'],\n",
-      "      dtype='object')\n",
-      "creating model instance\n",
-      "train and validate\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/kdesoto/conda_envs/sp_stable/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n",
-      "  warnings.warn(warn_msg)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 01 | Epoch Time: 0m 4s\n",
-      "\tTrain Loss: 1.411 | Train Acc: 45.88%\n",
-      "\t Val. Loss: 1.271 |  Val. Acc: 51.53%\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from superphot_plus import SuperphotConfig, SuperphotTrainer\n",
     "from snapi import TransientGroup, SamplerResultGroup\n",
@@ -4540,16 +718,37 @@
     "trainer.setup_model()\n",
     "meta_df = trainer.retrieve_transient_metadata(transient_group)\n",
     "train_df, val_df = trainer.split(meta_df, split_frac=0.1)\n",
+    "\n",
     "train_srg = srg.filter(train_df.index)\n",
     "val_srg = srg.filter(val_df.index)\n",
     "\n",
+    "\n",
+    "# train full-type\n",
+    "trainer.config.input_features = [\n",
+    "    \"beta_ZTF_r\",\n",
+    "    \"gamma_ZTF_r\",\n",
+    "    \"tau_rise_ZTF_r\",\n",
+    "    \"tau_fall_ZTF_r\",\n",
+    "    \"extra_sigma_ZTF_r\",\n",
+    "    \"A_ZTF_g\",\n",
+    "    \"beta_ZTF_g\",\n",
+    "    \"gamma_ZTF_g\",\n",
+    "    \"t_0_ZTF_g\",\n",
+    "    \"tau_rise_ZTF_g\",\n",
+    "    \"tau_fall_ZTF_g\",\n",
+    "    \"extra_sigma_ZTF_g\",\n",
+    "]\n",
     "trainer.train(0, (train_df, train_srg), (val_df, val_srg))\n",
     "trainer.models[0].save(config.model_prefix + \"_full\")\n",
     "print(trainer.models[0].best_model.feature_name_)\n",
     "\n",
     "probs_avg = trainer.evaluate(0, (meta_df, srg))\n",
-    "probs_avg.to_csv(config.probs_fn[:-4] + \"_full.csv\")\n",
+    "probs_avg[['SLSN-I', 'SN II', 'SN Ia', 'SN Ibc', 'SN IIn']] = probs_avg[['SLSN-I', 'SN II', 'SN Ia', 'SN Ibc', 'SN IIn']].round(2)\n",
+    "probs_avg['max_prob'] = probs_avg[['SLSN-I', 'SN II', 'SN Ia', 'SN Ibc', 'SN IIn']].max(axis=1)\n",
+    "probs_avg.drop(columns=['true_class','fold'], inplace=True)\n",
+    "probs_avg.to_csv(\"/Users/kdesoto/superphot-plus-data/probs_phot_full.csv\")\n",
     "\n",
+    "print(\"Full results saved\")\n",
     "# train early-type\n",
     "metadata = pd.read_csv(os.path.join(config.data_dir, \"all_samples.csv\"), index_col = 0)\n",
     "keep_cols = metadata.drop(\n",
diff --git a/src/superphot_plus/priors/superphot_prior.py b/src/superphot_plus/priors/superphot_prior.py
index 4206c326..dbbff008 100644
--- a/src/superphot_plus/priors/superphot_prior.py
+++ b/src/superphot_plus/priors/superphot_prior.py
@@ -72,7 +72,7 @@ def update(self) -> None:
         self._tgb = ((self._df['max'] - self._df['mean']) / self._df['stddev']).to_numpy()
             
         # faster sample calls
-        self._logged = self._df['logged'].to_numpy()
+        self._logged = self._df['logged'].to_numpy().astype(bool)
         self._mean = self._df['mean'].to_numpy()
         self._std = self._df['stddev'].to_numpy()
         self._numpyro_sample_arr = jnp.array(
@@ -218,55 +218,65 @@ def sample(self, cube, use_numpyro=False, num_events=None):
                     )
                 )
 
-                # Compute the adjustment only for relative ones
-                relative_shifts = base_vals[self._relative_idxs_jax]
-                min_constraint = jnp.maximum(min_vals_rel + base_vals[self._relative_idxs_jax], min_vals_base[self._relative_idxs_jax])
-                max_constraint = jnp.minimum(max_vals_rel + base_vals[self._relative_idxs_jax], max_vals_base[self._relative_idxs_jax])
+                if len(self._relative_idxs_jax) > 0:
 
-                adjusted_locs = init_loc_rel + relative_shifts
+                    # Compute the adjustment only for relative ones
+                    relative_shifts = base_vals[self._relative_idxs_jax]
+                    min_constraint = jnp.maximum(min_vals_rel + base_vals[self._relative_idxs_jax], min_vals_base[self._relative_idxs_jax])
+                    max_constraint = jnp.minimum(max_vals_rel + base_vals[self._relative_idxs_jax], max_vals_base[self._relative_idxs_jax])
 
-                # Reapply the constraints to adjusted_locs to make sure they stay within bounds
-                adjusted_locs_constrained = jnp.clip(adjusted_locs, min_constraint + 1e-6, max_constraint - 1e-6)
+                    adjusted_locs = init_loc_rel + relative_shifts
 
-                with numpyro.plate("relative_params", len(min_vals_rel)):
-                    # Re-sample using the adjusted means only for relative parameters
-                    resampled_vals = numpyro.sample(
-                        "relative_samples",
-                        dist.TruncatedNormal(
-                            loc=adjusted_locs_constrained,
-                            scale=init_scale_rel,
-                            low=min_constraint,
-                            high=max_constraint
+                    # Reapply the constraints to adjusted_locs to make sure they stay within bounds
+                    adjusted_locs_constrained = jnp.clip(adjusted_locs, min_constraint + 1e-6, max_constraint - 1e-6)
+
+                    with numpyro.plate("relative_params", len(min_vals_rel)):
+                        # Re-sample using the adjusted means only for relative parameters
+                        resampled_vals = numpyro.sample(
+                            "relative_samples",
+                            dist.TruncatedNormal(
+                                loc=adjusted_locs_constrained,
+                                scale=init_scale_rel,
+                                low=min_constraint,
+                                high=max_constraint
+                            )
                         )
-                    )
-            
-                vals = jnp.concatenate([
-                    base_vals,
-                    resampled_vals
-                ])
+                
+                    vals = jnp.concatenate([
+                        base_vals,
+                        resampled_vals
+                    ])
+                else:
+                    vals = base_vals
 
                 vals = vals.at[self._logged_jax].set(10**vals[self._logged_jax])
                 
         else:
             if cube is None:
                 cube = self._rng.uniform(size=len(self._df))
+
             vals = np.zeros(len(cube))
-            
-            vals[~self._relative_mask] = truncnorm.ppf(
-                cube[~self._relative_mask],
-                self._tga[~self._relative_mask],
-                self._tgb[~self._relative_mask],
-                loc=self._mean[~self._relative_mask],
-                scale=self._std[~self._relative_mask],
-            )
-            
-            vals[self._relative_mask] = truncnorm.ppf(
-                cube[self._relative_mask],
-                self._tga[self._relative_mask],
-                self._tgb[self._relative_mask],
-                loc=self._mean[self._relative_mask] + vals[self._relative_idxs],
-                scale=self._std[self._relative_mask]
-            )
+
+            if (len(self._relative_mask) > 0) and np.any(self._relative_mask):
+                vals[~self._relative_mask] = truncnorm.ppf(
+                    cube[~self._relative_mask],
+                    self._tga[~self._relative_mask],
+                    self._tgb[~self._relative_mask],
+                    loc=self._mean[~self._relative_mask],
+                    scale=self._std[~self._relative_mask],
+                )
+                
+                vals[self._relative_mask] = truncnorm.ppf(
+                    cube[self._relative_mask],
+                    self._tga[self._relative_mask],
+                    self._tgb[self._relative_mask],
+                    loc=self._mean[self._relative_mask] + vals[self._relative_idxs],
+                    scale=self._std[self._relative_mask]
+                )
+            else:
+                vals = truncnorm.ppf(
+                    cube, self._tga, self._tgb, loc=self._mean, scale=self._std
+                )
             
             # log transformations
             vals[self._logged] = 10**vals[self._logged]
@@ -451,7 +461,7 @@ def jax_guide(self, num_events=None):
                     constraint=dist.constraints.interval(1e-5, 3 * init_scale_base)
                 )
                 
-                numpyro.sample(
+                base_samples = numpyro.sample(
                     "base_samples",
                     dist.Normal(
                         loc=svi_loc_base,
@@ -459,7 +469,12 @@ def jax_guide(self, num_events=None):
                     )
                 )
 
+            #debug.print("Mu base: {}", svi_loc_base)
+            #debug.print("Scale base: {}", svi_scale_base)
+
             # Compute the shifts for relative parameters
+            if len(self._relative_idxs_jax) == 0:
+                return
             relative_shifts = svi_loc_base[self._relative_idxs_jax]
             adjusted_locs = init_loc_rel + relative_shifts
 
diff --git a/src/superphot_plus/samplers/dynesty_sampler.py b/src/superphot_plus/samplers/dynesty_sampler.py
index ae850249..7e211aba 100644
--- a/src/superphot_plus/samplers/dynesty_sampler.py
+++ b/src/superphot_plus/samplers/dynesty_sampler.py
@@ -67,6 +67,10 @@ def __init__(
         self._param_map = None
         self._dynamic = dynamic
 
+        self._initialize_sampler(sample_strategy, bound, nlive, dynamic)
+
+
+    def _initialize_sampler(self, sample_strategy, bound, nlive, dynamic):
         if dynamic:
             self._nested_sampler = DynamicNestedSampler(
                 self._logL, self._prior_func, (self._nparams + 3) * len(self._unique_bands),
@@ -80,6 +84,7 @@ def __init__(
                 rstate=self._rng, #walks=50
             )
 
+        
     def _logL(self, cube):
         """Define the log-likelihood function.
 
@@ -120,6 +125,25 @@ def reset(self):
         self._nested_sampler.reset()
 
 
+    def _generate_param_map(self):
+        # Revise unique bands
+        new_unique_bands = []
+        for band in self._unique_bands:
+            if band in self._X[:, 1]:
+                new_unique_bands.append(band)
+        
+        self._unique_bands = new_unique_bands
+        
+        # map time steps to param values
+        self._param_map = np.zeros((self._nparams+3, len(self._X)), dtype=int)
+        for i, param in enumerate(self._base_params):
+            for b in self._unique_bands:
+                b_idxs = self._X[:,1] == b
+                self._param_map[i,b_idxs] = np.where(self._params == f'{param}_{b}')[0][0]
+        
+        self._param_map = np.array(self._param_map)
+
+
     def fit(self, X, y):
         """Runs dynesty importance nested sampling on a set of light curves; saves set
         of equally weighted posteriors (sets of fit parameters).
@@ -139,20 +163,8 @@ def fit(self, X, y):
         super().fit(X, y)
         self._t = self._X[:,0].astype(np.float32)
         self._err = self._X[:,2].astype(np.float32)
-        
-        # map time steps to param values
-        self._param_map = np.zeros((self._nparams+3, len(self._X)), dtype=int)
-        for i, param in enumerate(self._base_params):
-            for b in self._unique_bands:
-                b_idxs = self._X[:,1] == b
-                self._param_map[i,b_idxs] = np.where(self._params == f'{param}_{b}')[0][0]
-        
-        self._param_map = np.array(self._param_map)
 
-        # Require data in all bands
-        for band in self._unique_bands:
-            if band not in self._X[:, 1]:
-                return None
+        self._generate_param_map()
     
         self.reset()
 
diff --git a/src/superphot_plus/samplers/numpyro_sampler.py b/src/superphot_plus/samplers/numpyro_sampler.py
index 962159ec..a1a1a6ee 100644
--- a/src/superphot_plus/samplers/numpyro_sampler.py
+++ b/src/superphot_plus/samplers/numpyro_sampler.py
@@ -67,8 +67,10 @@ def stablish_update(svi, svi_state, *args, forward_mode_differentiation=False, *
     )
     state = svi_state.optim_state
     params = svi.optim.get_params(state)
-    #debug.print("Params: {}", params)
+    debug.print("Params: {}", params)
     loss_val, grads = value_and_grad(loss_fn)(params)
+    debug.print("Loss_val: {}", loss_val)
+    debug.print("Grads: {}", grads)
 
     optim_state = lax.cond(
         jnp.isfinite(ravel_pytree(grads)[0]).all(),
@@ -311,7 +313,6 @@ def fit(
             length of X.
         """
         super().fit(X,y,event_indices=event_indices)
-
         """
         _, band_counts = np.unique(X[:, 1], return_counts=True)
         print(band_counts)
@@ -341,6 +342,7 @@ def _process_samples(self, samples_df):
         samples_df = self._priors.transform(samples_df)
         self.result = SamplerResult(samples_df, sampler_name=self._sampler_name)
         self._is_fitted = True
+        print(self.result.fit_parameters)
         self.result.score = np.array(
             self.score(self._X, self._y, orig_num_times=self._orig_num_times)
         )
@@ -535,6 +537,7 @@ def fit(
             orig_num_times=orig_num_times,
             event_indices=event_indices
         )
+        debug.print("B: {}", self._X[:,1])
 
         if self._svi_state is None:
             self.reset()
@@ -565,6 +568,7 @@ def fit(
             )
 
         params = self._svi.get_params(self._svi_state)
+        print(params)
 
         if event_indices is not None:
             params_loc = jnp.concatenate([
@@ -608,14 +612,18 @@ def fit(
             self._process_samples_hierarchical(global_mu_arr, global_scale_arr, indiv_param_arr)
 
         else:
-            params_loc = jnp.concatenate([
-                params['loc_base'],
-                params['loc_relative']
-            ])
-            params_scale = jnp.concatenate([
-                params['scale_base'],
-                params['scale_relative']
-            ])
+            if 'loc_relative' in params:
+                params_loc = jnp.concatenate([
+                    params['loc_base'],
+                    params['loc_relative']
+                ])
+                params_scale = jnp.concatenate([
+                    params['scale_base'],
+                    params['scale_relative']
+                ])
+            else:
+                params_loc = params['loc_base']
+                params_scale = params['scale_base']
 
             param_arr = params_loc + random.normal(
                 key=self._rng, shape=(1000, len(params_loc))
diff --git a/src/superphot_plus/samplers/superphot_sampler.py b/src/superphot_plus/samplers/superphot_sampler.py
index 6b3f8bd8..5cc8b98d 100644
--- a/src/superphot_plus/samplers/superphot_sampler.py
+++ b/src/superphot_plus/samplers/superphot_sampler.py
@@ -18,16 +18,18 @@ def __init__(
         self._priors = priors
         self._params = self._priors.dataframe['param'].to_numpy()
         self._unique_bands = []
+
         for c in self._params:
-            if c[0] == 'A':
-                self._unique_bands.append(c[2:])
+            band_suffix = "_".join(c.split("_")[-2:])
+            if band_suffix not in self._unique_bands:
+                self._unique_bands.append(band_suffix)
+
         self._base_params = []
         for c in self._params:
             if self._unique_bands[0] in c:
                 self._base_params.append(c.replace("_" +self._unique_bands[0], ""))
         self.result = None
 
-        print(self._params, self._base_params)
 
     def fit(self, X, y, event_indices=None):
         """Remove elements where filter not included in priors.
@@ -54,6 +56,7 @@ def fit(self, X, y, event_indices=None):
         else:
             super().fit(X[mask], y[mask])
 
+
     def _reformat_cube(self, cube):
         """Reformat cube based on self._param_map"""
         return cube[self._param_map]
@@ -92,4 +95,21 @@ def predict(self, X, num_fits=None):
         return self.flux_model(
             cube,
             val_x[:, 0].astype(np.float32), val_x[:, 1]
-        ), val_x
\ No newline at end of file
+        ), val_x
+    
+
+    def plot_fit_abs_mag(
+        self, ax, formatter=None, photometry=None, X=None, dense=True,
+    ):
+        """Plots the model fit in absolute magnitude space.
+
+        Parameters
+        ----------
+        X : np.ndarray
+            The x data to plot.
+        y : np.ndarray
+            The y data to plot.
+        dense : bool, optional
+            Whether to make time array dense for better plotting.
+        """
+        pass
\ No newline at end of file
diff --git a/src/superphot_plus/trainer.py b/src/superphot_plus/trainer.py
index ab99cd2f..eb078bcc 100644
--- a/src/superphot_plus/trainer.py
+++ b/src/superphot_plus/trainer.py
@@ -172,6 +172,10 @@ def train(self, i: int, train_data, val_data):
             self.config.input_features = train_df.columns[~train_df.columns.isin(['label', 'score', 'sampler'])]
 
         # extract features
+        train_df.replace([np.inf, -np.inf], np.nan, inplace=True)
+        val_df.replace([np.inf, -np.inf], np.nan, inplace=True)
+        train_df.dropna(axis=0, how='any', subset=self.config.input_features, inplace=True)
+        val_df.dropna(axis=0, how='any', subset=self.config.input_features, inplace=True)
         train_features = train_df.loc[:, self.config.input_features]
         val_features = val_df.loc[:, self.config.input_features]
         
@@ -224,7 +228,11 @@ def evaluate(self, k_fold, test_data):
         if self.config.input_features is None:
             self.config.input_features = test_df.columns[~test_df.columns.isin(['label', 'score', 'sampler'])]
 
-        probs_avg = model.evaluate(test_df[self.config.input_features])
+        test_df.replace([np.inf, -np.inf], np.nan, inplace=True)
+        test_df.dropna(axis=0, how='any', subset=self.config.input_features, inplace=True)
+        test_features = test_df.loc[:, self.config.input_features]
+
+        probs_avg = model.evaluate(test_features)
         
         if self.config.target_label is None:
             probs_avg.columns = np.sort(self.config.allowed_types)
diff --git a/tests/data/ZTF22abvdwik.csv b/tests/data/ZTF22abvdwik.csv
deleted file mode 100644
index b4e1a42a..00000000
--- a/tests/data/ZTF22abvdwik.csv
+++ /dev/null
@@ -1,20 +0,0 @@
-tid,mjd,candid,fid,pid,diffmaglim,isdiffpos,nid,distnr,magpsf,magap,sigmapsf,sigmagap,ra,dec,rb,rbversion,magapbig,sigmagapbig,has_stamp,corrected,dubious,step_id_corr,phase,parent_candid,drb,rfid
-ztf,59902.20369210001,2148203692115015011,2,2148203692115,20.3723,1,2148,2.01474,20.2641,19.8273,0.221299,0.2281,16.9343633,32.444725,0.428571,t17_f5_c3,20.1133,0.3801,False,False,False,1.1.6,0.0,2.148280062115015e+18,,
-ztf,59902.28006940009,2148280062115015013,1,2148280062115,20.216372,1,2148,1.8791287,20.042442,19.857,0.18636914,0.1985,16.9343988,32.4447053,0.4857143,t17_f5_c3,19.6675,0.2136,True,False,False,1.1.6,0.0,,0.99591094,650120121.0
-ztf,59904.1787963002,2150178792115015047,1,2150178792115,20.618118,1,2150,1.8547621,19.739748,19.5459,0.13192555,0.1438,16.9344544,32.4447224,0.55285716,t17_f5_c3,19.4887,0.1743,True,False,False,1.1.6,0.0,,0.9992535,650120121.0
-ztf,59904.196330999956,2150196332115015044,2,2150196332115,20.58876,1,2150,1.6470789,19.854446,19.6184,0.14307152,0.1782,16.934344,32.4448254,0.61,t17_f5_c3,19.6504,0.2347,True,False,False,1.1.6,0.0,,0.99822795,650120221.0
-ztf,59906.15277779987,2152152772115015009,2,2152152772115,20.328976,1,2152,1.6370407,19.599812,19.4198,0.11389564,0.1653,16.9343914,32.4448333,0.7871429,t17_f5_c3,19.3334,0.1956,True,False,False,1.1.6,0.0,,0.9999964,650120221.0
-ztf,59906.19996530004,2152199962115015019,1,2152199962115,20.75124,1,2152,1.570132,19.46388,19.2954,0.13865033,0.111,16.9344321,32.4448019,0.81,t17_f5_c3,19.3485,0.1484,True,False,False,1.1.6,0.0,,0.9999972,650120121.0
-ztf,59908.238495400175,2154238492115015017,1,2154238492115,20.4287,1,2154,1.80783,19.3138,19.1234,0.114138,0.1003,16.9344672,32.4447386,0.78,t17_f5_c3,19.0642,0.1211,False,False,False,1.1.6,0.0,2.156177002115015e+18,,
-ztf,59910.17700230004,2156177002115015009,2,2156177002115,20.472574,1,2156,1.7967085,19.13221,19.1444,0.07791023,0.1237,16.9343733,32.444784,0.94142854,t17_f5_c3,19.167,0.1611,True,False,False,1.1.6,0.0,,1.0,650120221.0
-ztf,59910.214583300054,2156214582115015024,1,2156214582115,20.686329,1,2156,1.6471357,19.132908,19.0139,0.09190045,0.0854,16.9344163,32.4447753,0.9185714,t17_f5_c3,18.9604,0.1033,True,False,False,1.1.6,0.0,,0.9999809,650120121.0
-ztf,59913.17012730008,2159170122115015010,2,2159170122115,20.332615,1,2159,1.7853208,19.133406,19.1459,0.08625226,0.1374,16.9343383,32.4447847,0.93142855,t17_f5_c3,19.169,0.1795,True,False,False,1.1.6,0.0,,0.99999905,650120221.0
-ztf,59913.25478010019,2159254782115015034,2,2159254782115,19.955643,1,2159,1.764815,19.107706,19.0819,0.11712669,0.1369,16.9344081,32.4447979,0.74714285,t17_f5_c3,18.9649,0.1573,True,False,False,1.1.6,0.0,,0.9999021,650120221.0
-ztf,59922.2389814998,2168238982115015011,1,2168238982115,19.536272,1,2168,1.4210173,19.18884,19.1907,0.15219393,0.2797,16.934283,32.4448359,0.9257143,t17_f5_c3,18.9854,0.2972,True,False,False,1.1.6,0.0,,0.9999968,650120121.0
-ztf,59922.28723380016,2168287232115015003,2,2168287232115,19.750925,1,2168,1.7536292,19.138376,19.817,0.15156975,0.449,16.9342972,32.4447922,0.8214286,t17_f5_c3,19.692,0.5139,True,False,False,1.1.6,0.0,,0.99985445,650120221.0
-ztf,59928.17627310008,2174176272115015007,2,2174176272115,19.7106,1,2174,1.8818,19.449,19.015,0.13754,0.21,16.9342806,32.4447575,0.607143,t17_f5_c3,18.8682,0.2355,False,False,False,1.1.6,0.0,2.174200422115015e+18,,
-ztf,59928.200428199954,2174200422115015022,1,2174200422115,20.235287,1,2174,1.9742024,19.658592,19.359,0.18338698,0.1408,16.9343728,32.4446806,0.5957143,t17_f5_c3,19.2327,0.1603,True,False,False,1.1.6,0.0,,0.99942994,650120121.0
-ztf,59932.12961809989,2178129612115015021,1,2178129612115,20.77482,1,2178,1.5992938,20.02367,20.0394,0.2011348,0.2114,16.934394,32.4447878,0.38857144,t17_f5_c3,19.8127,0.2198,True,False,False,1.1.6,0.0,,0.99458575,650120121.0
-ztf,59932.234479200095,2178234472115015024,2,2178234472115,20.213923,1,2178,2.0106754,19.60553,19.6761,0.121733084,0.2105,16.934342,32.4447236,0.7771429,t17_f5_c3,19.4689,0.2228,True,False,False,1.1.6,0.0,,0.9997848,650120221.0
-ztf,59934.19962960016,2180199622115015025,1,2180199622115,20.326313,1,2180,1.7843186,20.142624,20.3769,0.18354084,0.4324,16.9343692,32.4447319,0.54,t17_f5_c3,20.4894,0.6155,True,False,False,1.1.6,0.0,,0.99688506,650120121.0
-ztf,59934.23952550022,2180239522115015004,2,2180239522115,20.490465,1,2180,1.8100791,19.811592,19.9948,0.115966216,0.2715,16.9343885,32.4447845,0.8385714,t17_f5_c3,19.8279,0.2983,True,False,False,1.1.6,0.0,,0.9999973,650120221.0
diff --git a/tests/data/goldens/ZTF22abvdwik_eqwt_NUTS.npz b/tests/data/goldens/ZTF22abvdwik_eqwt_NUTS.npz
deleted file mode 100644
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deleted file mode 100644
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diff --git a/tests/data/goldens/ZTF22abvdwik_eqwt_svi.npz b/tests/data/goldens/ZTF22abvdwik_eqwt_svi.npz
deleted file mode 100644
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diff --git a/tests/data/lsst_lcs/10372190.npz b/tests/data/lsst_lcs/10372190.npz
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+++ /dev/null
@@ -1,500 +0,0 @@
-Name,Label,pSNIa,pSNII,pSNIIn,pSLSNI,pSNIbc,Fold
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\ No newline at end of file
diff --git a/tests/data/probs_snr.csv b/tests/data/probs_snr.csv
deleted file mode 100644
index 073bc5af..00000000
--- a/tests/data/probs_snr.csv
+++ /dev/null
@@ -1,500 +0,0 @@
-Name,Label,pSNIa,pSNII,pSNIIn,pSLSNI,pSNIbc,Fold,Fmax,SNR90,nSNR3,nSNR5,nSNR10
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-ZTF20aavynba,0,0.569094232879662,0.1372657555543551,0.1041431620801993,0.0398595016533953,0.1496373478323879,0,687.094638145162,9.68795549202246,18,17,1
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-ZTF20abeeahl,0,0.816800858913069,0.0559552951084249,0.0245327040417817,0.0335456421780467,0.0691654997586771,0,2361.648752355465,21.778644572067808,20,20,14
-ZTF20abefbpl,4,0.1383809912210865,0.0784815983608404,0.0069632356336873,0.0028432471542733,0.7733309276301124,0,1821.9368402159485,15.085436192067755,22,20,10
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-ZTF20abgbxby,3,0.1442129441783327,0.3623271963702718,0.1933962422532493,0.1588667775805025,0.141196839617643,0,600.5299084828509,9.202166988154879,25,15,2
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-ZTF22aaoxiux,0,0.8352609119748704,0.0265190935144373,0.0134450881673393,0.0039560491266436,0.1208188572167095,0,2861.312705221946,23.335749163760397,36,34,28
-ZTF22aarqzls,0,0.7207944550470458,0.0449693469522891,0.0229204412696114,0.0074700055405299,0.2038457511905242,0,8928.086669279157,24.833356407595808,38,38,35
-ZTF22aarrbne,0,0.7604632992399547,0.0496474277509633,0.0384553491437225,0.0056924075916888,0.14574151627367,0,1430.3291114303636,15.221862227270606,37,36,19
-ZTF22aarwwyy,4,0.0589460769107251,0.0353136424517284,0.0161791084550333,0.003522095492366,0.8860390766901474,0,1806.8667258778216,17.025861854641164,25,23,15
-ZTF22aarycqo,1,0.0097713714161708,0.6128054908212728,0.0528509454245373,0.0176954784136548,0.3068767139243639,0,9085.471593598792,17.380538711148937,73,72,63
-ZTF22aaslyzj,0,0.4950054390236864,0.1289881841556776,0.0807623890518343,0.0922034781112198,0.2030405096575819,0,1264.3036343492822,13.864908990797328,23,22,10
-ZTF22aasyada,0,0.7513197043280764,0.0881746100610172,0.0625219174893099,0.0485953053822182,0.0493884627393781,0,1863.8454892790417,18.61659262644699,25,25,19
-ZTF22aasygdq,0,0.7149821763052524,0.0600482500559397,0.0264197536506595,0.0097718953530899,0.1887779246350584,0,994.0206179983729,14.504107819093244,20,18,8
-ZTF22aatunnt,4,0.1126747218881871,0.2613819548729069,0.0407118437246709,0.0732076657260643,0.5120238137881706,0,1320.4317278959963,12.244134615449758,35,28,15
-ZTF22aausnwr,3,0.2205543697059948,0.2788413248580804,0.1741374107578542,0.2542957472078037,0.0721711474702669,0,739.135128789927,8.836531406484964,20,15,1
-ZTF22aauxzqe,0,0.9624487296413224,0.0133249114685629,0.0083550005625151,0.0061403844568283,0.0097309738707711,0,1463.1781547875344,12.867091573402355,55,54,16
-ZTF22aawetbp,0,0.1365947134080987,0.1711064559446662,0.0488366140626808,0.0247901949343403,0.6186720216502136,0,1787.6747943752223,16.421236042160526,13,11,4
-ZTF22aaweukv,0,0.7913242407357487,0.0607043383163888,0.0277365222967368,0.0266126119974445,0.0936222866536808,0,1112.3078985213479,12.700845288205867,21,19,9
-ZTF22aawzdti,0,0.9519601215769496,0.017180623672722,0.0109461215539101,0.0043028300182653,0.0156103031781529,0,1538.7763226169373,17.426203692187492,33,30,23
-ZTF22aaxtias,4,0.1442973222953747,0.0696921335456185,0.0178424909850687,0.0057921624250332,0.762375890748905,0,5644.1476394460415,21.545344782932343,32,29,18
-ZTF22aaygscd,1,0.0526368683817218,0.5437960652465027,0.1461637187163888,0.0610854462242103,0.1963179014311755,0,1589.9343760229322,14.53736379750851,27,22,10
-ZTF22aayprcr,0,0.9533742391475122,0.0173234085339268,0.0128514070683277,0.0041729964502593,0.0122779487999744,0,2855.011633475261,17.133748223099047,34,34,23
-ZTF22aayrxbb,0,0.8358821910061813,0.0433036450313651,0.0262886737049003,0.0116796233262067,0.0828458669313448,0,1058.729128424042,12.413312434064204,24,24,10
-ZTF22aazuotw,4,0.1278792282222116,0.15855388573829,0.0613704505526537,0.0587121174988834,0.5934843179879614,0,1094.208567628271,10.167910926603676,12,8,2
-ZTF22abaadbc,0,0.7415190551031037,0.0647269918146459,0.0543558581463556,0.0904862767208075,0.048911818215087,0,2583.6423924894893,13.519012220235162,16,15,9
-ZTF22abaegxq,1,0.0104669688007507,0.8769024108347162,0.0655190522486343,0.0311919478060032,0.0159196203098962,0,1059.389474446368,14.699836389524524,126,115,60
-ZTF22abakcfy,0,0.6603951021816393,0.0575530863565412,0.0422884923708392,0.006087677679581,0.2336756414113984,0,1477.0814187134333,14.417611856632073,38,34,17
-ZTF22abayewb,0,0.9142123973513469,0.0287010675975848,0.0173079291838564,0.0135934781795833,0.0261851276876277,0,2459.7059089970207,18.680563159433955,27,25,14
-ZTF22abbecow,1,0.0371336406352866,0.3208575719184529,0.26309378438586,0.2695679965850293,0.1093470064753714,0,540.9114989300292,7.696584282119841,22,17,0
-ZTF22abbmgdo,0,0.91614305285891,0.0247990967578568,0.0163400777982905,0.0095224999944685,0.033195272590474,0,1326.795106826516,14.530009042443226,29,28,16
-ZTF22abbtjlb,0,0.3244515506111075,0.1353204983974858,0.1818526943717927,0.2165579389092308,0.1418173177103833,0,978.765955941822,9.908745459914284,15,13,2
-ZTF22abcknjm,0,0.2183723673854345,0.1139753590411765,0.0741383785479475,0.0343327798304619,0.5591811151949801,0,1860.8485670417035,14.172167461030714,16,16,9
-ZTF22abdlnkm,0,0.94444442861025,0.0191857664980349,0.0080669581135274,0.012199887264985,0.0161029595132028,0,1578.2616479763292,16.686402786787223,37,33,22
-ZTF22abdondo,1,0.0084955149133626,0.6842390387897515,0.1928707621905345,0.0407495098753704,0.0736451742309813,0,3102.067521901234,18.774055051745332,63,62,52
-ZTF22abdxbyh,0,0.9481499287814464,0.0214215155599871,0.0085503715726775,0.0063413677158638,0.0155368163700253,0,1634.0612101432266,11.749034415668081,57,54,21
-ZTF22abehuah,0,0.4269372814044029,0.1270551976978977,0.0862298711369801,0.0369068990925343,0.3228707506681847,0,2112.9049708497064,17.145025909038853,47,44,38
-ZTF22abfpgcn,1,0.0273267580096562,0.8110295248024998,0.0434143199235284,0.0775137840627823,0.0407156132015343,0,2116.7434359767917,15.69567432066826,38,36,21
-ZTF22abfrbzi,0,0.8377181878689134,0.0573050682215597,0.0390814129818777,0.0248729540939164,0.0410223768337322,0,1171.9090651757836,17.3242998305795,29,24,16
-ZTF22abfuosd,0,0.6514834472471858,0.071841927339973,0.0757828048978095,0.0766552026356512,0.1242366178793807,0,1298.394528334497,16.24196660321269,20,18,12
-ZTF22abfwchw,1,0.3341708291301629,0.0945884233598832,0.1559498700116241,0.372802510013041,0.0424883674852881,0,2414.8021844727505,19.46279328588873,45,43,33
-ZTF22abgepyb,0,0.9666678196958548,0.0126876541646442,0.0081426311079068,0.0057866184951465,0.0067152765364472,0,2680.130368058727,23.879768045129186,45,45,34
\ No newline at end of file
diff --git a/tests/data/sample.snana.txt b/tests/data/sample.snana.txt
deleted file mode 100644
index c6a08a33..00000000
--- a/tests/data/sample.snana.txt
+++ /dev/null
@@ -1,362 +0,0 @@
-# CREATED_DATE: 2020-10-19T17:31:58.108Z
-# MODIFIED_DATE: 2022-12-15T13:14:08.619Z
-# STATUS: NeedsTemplate
-# OBS_GROUP: YSE
-# NON_DETECT_BAND: Gaia-Photometric - G
-# BEST_SPEC_CLASS: SN IIn
-# PHOTO_CLASS: SN II
-# CONTEXT_CLASS: SN
-# BEST_SPECTRUM: None
-# HOST: Host: 81240927592644109; (06:11:02.23, -22:17:48.44)
-# ABS_MAG_PEAK_BAND: None
-# ANTARES_CLASSIFICATION: None
-# INTERNAL_SURVEY: None
-# NAME: 2020ybn
-# RA: 92.7593848401757
-# DEC: -22.297298475196833
-# RA_ERR: None
-# DEC_ERR: None
-# DISC_DATE: 2020-10-19T00:00:00Z
-# REDSHIFT: 0.096
-# REDSHIFT_ERR: None
-# REDSHIFT_SOURCE: None
-# NON_DETECT_DATE: 2020-10-16T02:06:43Z
-# NON_DETECT_LIMIT: 21.5
-# MW_EBV: 0.069
-# ABS_MAG_PEAK: None
-# ABS_MAG_PEAK_DATE: None
-# POSTAGE_STAMP_FILE: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_target.jpeg
-# POSTAGE_STAMP_REF: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_ref.jpeg
-# POSTAGE_STAMP_DIFF: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_diff.jpeg
-# POSTAGE_STAMP_FILE_FITS: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_target.fits
-# POSTAGE_STAMP_REF_FITS: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_ref.fits
-# POSTAGE_STAMP_DIFF_FITS: 10JYSEmce/59141/1061102250221750200_59141.589_109322109_876_diff.fits
-# K2_VALIDATED: None
-# K2_MSG: None
-# TNS_SPEC_CLASS: SN IIn
-# POINT_SOURCE_PROBABILITY: 0.001
-# ALT_STATUS: CONFIRMED
-# SLUG: 2020ybn
-# REAL_BOGUS_SCORE: 0.998478
-# HAS_HST: False
-# HAS_SPITZER: None
-# HAS_CHANDRA: True
-# TAGS: [29, 77]
-
-VARLIST:  MJD        FLT  FLUXCAL   FLUXCALERR    MAG     MAGERR     MAGSYS   TELESCOPE    INSTRUMENT   DQ
-OBS:      59113.628  g  -38.956  338.382  nan  -9.431  None  Pan-STARRS1  GPC1  None
-OBS:      59113.631  r  -58.682  321.883  nan  -5.955  None  Pan-STARRS1  GPC1  None
-OBS:      59120.622  r  32.246  81.213  23.729  2.519  None  Pan-STARRS1  GPC1  None
-OBS:      59120.624  z  103.308  215.546  22.465  2.086  None  Pan-STARRS1  GPC1  None
-OBS:      59129.622  i  -14.029  94.141  nan  -7.286  None  Pan-STARRS1  GPC1  None
-OBS:      59129.625  r  120.558  90.365  22.297  0.750  None  Pan-STARRS1  GPC1  None
-OBS:      59141.586  i  939.488  66.129  20.068  0.070  None  Pan-STARRS1  GPC1  None
-OBS:      59141.589  g  694.724  57.464  20.395  0.083  None  Pan-STARRS1  GPC1  None
-OBS:      59145.594  g  1639.636  88.901  19.463  0.054  None  Pan-STARRS1  GPC1  None
-OBS:      59145.596  i  2015.536  85.374  19.239  0.042  None  Pan-STARRS1  GPC1  None
-OBS:      59147.602  g  2199.704  74.374  19.144  0.034  None  Pan-STARRS1  GPC1  None
-OBS:      59147.605  z  2254.953  123.540  19.117  0.055  None  Pan-STARRS1  GPC1  None
-OBS:      59158.552  r  3406.366  106.380  18.669  0.031  None  Pan-STARRS1  GPC1  None
-OBS:      59158.555  i  3256.001  248.739  18.718  0.076  None  Pan-STARRS1  GPC1  None
-OBS:      59161.566  g  3872.192  111.329  18.530  0.029  None  Pan-STARRS1  GPC1  None
-OBS:      59167.526  g  3704.797  602.670  18.578  0.163  None  Pan-STARRS1  GPC1  None
-OBS:      59167.529  r  3732.426  491.111  18.570  0.132  None  Pan-STARRS1  GPC1  None
-OBS:      59172.520  g  3740.761  278.247  18.568  0.081  None  Pan-STARRS1  GPC1  None
-OBS:      59178.434  r  2917.273  272.546  18.838  0.093  None  Pan-STARRS1  GPC1  None
-OBS:      59178.437  z  3306.623  635.851  18.702  0.192  None  Pan-STARRS1  GPC1  None
-OBS:      59184.489  z  2421.244  135.844  19.040  0.056  None  Pan-STARRS1  GPC1  None
-OBS:      59184.492  r  2577.691  147.300  18.972  0.057  None  Pan-STARRS1  GPC1  None
-OBS:      59189.490  r  2127.597  81.242  19.180  0.038  None  Pan-STARRS1  GPC1  None
-OBS:      59191.412  g  1982.943  73.304  19.257  0.037  None  Pan-STARRS1  GPC1  None
-OBS:      59193.429  i  2520.453  165.970  18.996  0.066  None  Pan-STARRS1  GPC1  None
-OBS:      59193.432  g  1611.515  91.896  19.482  0.057  None  Pan-STARRS1  GPC1  None
-OBS:      59200.417  g  1387.091  210.379  19.645  0.152  None  Pan-STARRS1  GPC1  None
-OBS:      59200.420  r  1652.164  160.991  19.455  0.097  None  Pan-STARRS1  GPC1  None
-OBS:      59206.412  g  944.359  57.725  20.062  0.061  None  Pan-STARRS1  GPC1  None
-OBS:      59213.402  r  1273.131  414.785  19.738  0.326  None  Pan-STARRS1  GPC1  None
-OBS:      59213.404  i  1489.807  229.261  19.567  0.154  None  Pan-STARRS1  GPC1  None
-OBS:      59216.382  i  1196.178  345.628  19.806  0.289  None  Pan-STARRS1  GPC1  None
-OBS:      59216.385  r  1033.780  317.251  19.964  0.307  None  Pan-STARRS1  GPC1  None
-OBS:      59218.416  z  1147.160  137.121  19.851  0.120  None  Pan-STARRS1  GPC1  None
-OBS:      59218.418  r  846.523  202.483  20.181  0.239  None  Pan-STARRS1  GPC1  None
-OBS:      59220.386  g  595.781  44.262  20.562  0.074  None  Pan-STARRS1  GPC1  None
-OBS:      59225.388  g  483.397  248.783  20.789  0.515  None  Pan-STARRS1  GPC1  None
-OBS:      59229.390  g  314.112  101.298  21.257  0.322  None  Pan-STARRS1  GPC1  None
-OBS:      59229.393  i  702.755  139.305  20.383  0.198  None  Pan-STARRS1  GPC1  None
-OBS:      59237.393  i  758.980  315.325  20.299  0.415  None  Pan-STARRS1  GPC1  None
-OBS:      59237.396  r  256.794  302.010  21.476  1.176  None  Pan-STARRS1  GPC1  None
-OBS:      59242.365  r  827.354  594.810  20.206  0.719  None  Pan-STARRS1  GPC1  None
-OBS:      59244.347  r  361.370  179.318  21.105  0.496  None  Pan-STARRS1  GPC1  None
-OBS:      59245.264  r  374.419  161.776  21.067  0.432  None  Pan-STARRS1  GPC1  None
-OBS:      59246.345  r  462.601  204.777  20.837  0.443  None  Pan-STARRS1  GPC1  None
-OBS:      59246.347  z  491.179  281.100  20.772  0.572  None  Pan-STARRS1  GPC1  None
-OBS:      59843.627  g  -21.063  145.377  nan  -7.494  None  Pan-STARRS1  GPC1  None
-OBS:      59843.630  r  -60.992  148.471  nan  -2.643  None  Pan-STARRS1  GPC1  None
-OBS:      59846.626  i  29.791  157.076  23.815  5.273  None  Pan-STARRS1  GPC1  None
-OBS:      59846.629  g  7.839  188.430  25.264  24.038  None  Pan-STARRS1  GPC1  None
-OBS:      59853.630  g  36.773  53.513  23.586  1.455  None  Pan-STARRS1  GPC1  None
-OBS:      59853.633  i  -49.673  69.914  nan  -1.528  None  Pan-STARRS1  GPC1  None
-OBS:      59870.607  g  -0.497  65.505  nan  -143.182  None  Pan-STARRS1  GPC1  None
-OBS:      59870.610  i  14.575  52.110  24.591  3.575  None  Pan-STARRS1  GPC1  None
-OBS:      59872.626  r  -35.097  121.113  nan  -3.747  None  Pan-STARRS1  GPC1  None
-OBS:      59876.570  g  7.616  64.553  25.296  8.476  None  Pan-STARRS1  GPC1  None
-OBS:      59876.573  i  -12.697  97.919  nan  -8.373  None  Pan-STARRS1  GPC1  None
-OBS:      59884.574  g  142.069  156.085  22.119  1.099  None  Pan-STARRS1  GPC1  None
-OBS:      59895.504  z  156.145  196.108  22.016  1.256  None  Pan-STARRS1  GPC1  None
-OBS:      59895.507  r  26.834  112.224  23.928  4.182  None  Pan-STARRS1  GPC1  None
-OBS:      59897.487  r  132.316  283.136  22.196  2.140  None  Pan-STARRS1  GPC1  None
-OBS:      59897.489  z  -116.882  590.669  nan  -5.487  None  Pan-STARRS1  GPC1  None
-OBS:      59901.501  i  -52.833  203.456  nan  -4.181  None  Pan-STARRS1  GPC1  None
-OBS:      59901.504  g  -63.600  160.555  nan  -2.741  None  Pan-STARRS1  GPC1  None
-OBS:      59906.528  g  19.914  150.471  24.252  7.556  None  Pan-STARRS1  GPC1  None
-OBS:      59906.531  r  -126.009  216.827  nan  -1.868  None  Pan-STARRS1  GPC1  None
-OBS:      59909.521  g  -5.315  107.225  nan  -21.903  None  Pan-STARRS1  GPC1  None
-OBS:      59909.524  r  54.108  87.579  23.167  1.619  None  Pan-STARRS1  GPC1  None
-OBS:      59915.470  g  99.637  73.931  22.504  0.742  None  Pan-STARRS1  GPC1  None
-OBS:      59915.473  i  24.342  63.553  24.034  2.611  None  Pan-STARRS1  GPC1  None
-OBS:      59926.491  r  3.443  259.891  26.158  75.492  None  Pan-STARRS1  GPC1  None
-OBS:      59926.495  z  -45.416  340.173  nan  -8.132  None  Pan-STARRS1  GPC1  None
-OBS:      59927.428  r  115.059  242.733  22.348  2.110  None  Pan-STARRS1  GPC1  None
-OBS:      59927.432  z  -73.387  265.584  nan  -3.929  None  Pan-STARRS1  GPC1  None
-OBS:      59928.410  g  -58.596  258.348  nan  -4.787  None  Pan-STARRS1  GPC1  None
-OBS:      59145.569  cyan  1602.507  225.822  19.488  0.153  None  ATLAS  HKO  None
-OBS:      59141.586  i  928.966  59.893  20.080  0.070  None  Pan-STARRS1  GPC1  None
-OBS:      59099.610  orange-ATLAS  140.605  532.751  22.130  3.789  None  ATLAS  HKO  None
-OBS:      59099.616  orange-ATLAS  669.885  414.659  20.435  0.619  None  ATLAS  HKO  None
-OBS:      59099.634  orange-ATLAS  -108.843  728.921  nan  -7.271  None  ATLAS  HKO  None
-OBS:      59099.639  orange-ATLAS  -219.989  1516.161  nan  -7.483  None  ATLAS  HKO  None
-OBS:      59103.601  orange-ATLAS  302.273  342.174  21.299  1.132  None  ATLAS  HKO  None
-OBS:      59103.605  orange-ATLAS  58.939  391.117  23.074  6.636  None  ATLAS  HKO  None
-OBS:      59103.624  orange-ATLAS  53.015  279.549  23.189  5.273  None  ATLAS  HKO  None
-OBS:      59103.635  orange-ATLAS  360.081  541.201  21.109  1.503  None  ATLAS  HKO  None
-OBS:      59105.555  orange-ATLAS  -257.513  527.645  nan  -2.225  None  ATLAS  HKO  None
-OBS:      59105.574  orange-ATLAS  291.608  408.835  21.338  1.402  None  ATLAS  HKO  None
-OBS:      59105.589  orange-ATLAS  598.136  364.863  20.558  0.610  None  ATLAS  HKO  None
-OBS:      59105.593  orange-ATLAS  -489.328  389.505  nan  -0.864  None  ATLAS  HKO  None
-OBS:      59109.612  cyan-ATLAS  -39.301  216.154  nan  -5.972  None  ATLAS  HKO  None
-OBS:      59109.617  cyan-ATLAS  62.806  210.588  23.005  3.353  None  ATLAS  HKO  None
-OBS:      59109.628  cyan-ATLAS  -141.775  366.205  nan  -2.804  None  ATLAS  HKO  None
-OBS:      59109.634  cyan-ATLAS  182.978  305.025  21.844  1.667  None  ATLAS  HKO  None
-OBS:      59109.638  cyan-ATLAS  -129.062  463.334  nan  -3.898  None  ATLAS  HKO  None
-OBS:      59109.640  cyan-ATLAS  931.537  935.263  20.077  1.004  None  ATLAS  HKO  None
-OBS:      59111.527  orange-ATLAS  -299.226  897.679  nan  -3.257  None  ATLAS  HKO  None
-OBS:      59111.536  orange-ATLAS  642.096  419.931  20.481  0.654  None  ATLAS  HKO  None
-OBS:      59111.544  orange-ATLAS  1230.269  864.879  19.775  0.703  None  ATLAS  HKO  None
-OBS:      59111.548  orange-ATLAS  -240.769  1564.996  nan  -7.057  None  ATLAS  HKO  None
-OBS:      59113.611  cyan-ATLAS  49.843  244.677  23.256  4.909  None  ATLAS  HKO  None
-OBS:      59113.616  cyan-ATLAS  -48.261  294.395  nan  -6.623  None  ATLAS  HKO  None
-OBS:      59113.625  cyan-ATLAS  -112.824  1223.685  nan  -11.776  None  ATLAS  HKO  None
-OBS:      59113.627  cyan-ATLAS  -245.697  443.729  nan  -1.961  None  ATLAS  HKO  None
-OBS:      59113.632  cyan-ATLAS  -6.650  385.681  nan  -62.973  None  ATLAS  HKO  None
-OBS:      59113.633  cyan-ATLAS  119.784  662.288  22.304  5.529  None  ATLAS  HKO  None
-OBS:      59115.579  orange-ATLAS  339.469  290.925  21.173  0.857  None  ATLAS  HKO  None
-OBS:      59115.583  orange-ATLAS  264.241  273.225  21.445  1.034  None  ATLAS  HKO  None
-OBS:      59115.589  orange-ATLAS  -348.017  258.924  nan  -0.808  None  ATLAS  HKO  None
-OBS:      59115.602  orange-ATLAS  104.809  272.085  22.449  2.596  None  ATLAS  HKO  None
-OBS:      59117.586  cyan-ATLAS  -283.923  276.541  nan  -1.058  None  ATLAS  HKO  None
-OBS:      59117.591  cyan-ATLAS  -14.914  283.370  nan  -20.629  None  ATLAS  HKO  None
-OBS:      59117.602  cyan-ATLAS  -174.261  298.160  nan  -1.858  None  ATLAS  HKO  None
-OBS:      59117.614  cyan-ATLAS  -195.164  317.532  nan  -1.766  None  ATLAS  HKO  None
-OBS:      59119.562  orange-ATLAS  186.037  235.151  21.826  1.264  None  ATLAS  HKO  None
-OBS:      59119.566  orange-ATLAS  -57.544  237.657  nan  -4.484  None  ATLAS  HKO  None
-OBS:      59119.571  orange-ATLAS  208.930  217.287  21.700  1.040  None  ATLAS  HKO  None
-OBS:      59119.583  orange-ATLAS  88.716  216.821  22.630  2.444  None  ATLAS  HKO  None
-OBS:      59121.563  orange-ATLAS  -243.669  554.834  nan  -2.472  None  ATLAS  HKO  None
-OBS:      59121.567  orange-ATLAS  -283.139  550.139  nan  -2.110  None  ATLAS  HKO  None
-OBS:      59121.572  orange-ATLAS  -98.446  451.180  nan  -4.976  None  ATLAS  HKO  None
-OBS:      59121.582  orange-ATLAS  800.203  564.943  20.242  0.706  None  ATLAS  HKO  None
-OBS:      59123.572  orange-ATLAS  -474.679  551.102  nan  -1.261  None  ATLAS  HKO  None
-OBS:      59123.575  orange-ATLAS  80.094  537.431  22.741  6.710  None  ATLAS  HKO  None
-OBS:      59123.581  orange-ATLAS  -38.054  504.862  nan  -14.404  None  ATLAS  HKO  None
-OBS:      59123.592  orange-ATLAS  -789.223  534.304  nan  -0.735  None  ATLAS  HKO  None
-OBS:      59125.597  orange-ATLAS  530.152  558.250  20.689  1.053  None  ATLAS  HKO  None
-OBS:      59125.600  orange-ATLAS  270.645  521.533  21.419  1.927  None  ATLAS  HKO  None
-OBS:      59125.618  orange-ATLAS  532.599  468.154  20.684  0.879  None  ATLAS  HKO  None
-OBS:      59125.629  orange-ATLAS  -278.740  655.598  nan  -2.554  None  ATLAS  HKO  None
-OBS:      59127.577  orange-ATLAS  -30.789  441.303  nan  -15.562  None  ATLAS  HKO  None
-OBS:      59127.578  orange-ATLAS  -54.450  490.052  nan  -9.772  None  ATLAS  HKO  None
-OBS:      59127.582  orange-ATLAS  299.502  516.342  21.309  1.724  None  ATLAS  HKO  None
-OBS:      59127.592  orange-ATLAS  995.405  504.671  20.005  0.507  None  ATLAS  HKO  None
-OBS:      59129.582  orange-ATLAS  21.878  410.205  24.150  18.750  None  ATLAS  HKO  None
-OBS:      59129.585  orange-ATLAS  295.937  434.436  21.322  1.468  None  ATLAS  HKO  None
-OBS:      59129.590  orange-ATLAS  -105.779  395.931  nan  -4.064  None  ATLAS  HKO  None
-OBS:      59129.603  orange-ATLAS  -2.821  383.653  nan  -147.660  None  ATLAS  HKO  None
-OBS:      59131.606  orange-ATLAS  585.059  385.554  20.582  0.659  None  ATLAS  HKO  None
-OBS:      59131.610  orange-ATLAS  -263.998  345.573  nan  -1.421  None  ATLAS  HKO  None
-OBS:      59131.625  orange-ATLAS  11.836  317.201  24.817  26.800  None  ATLAS  HKO  None
-OBS:      59131.635  orange-ATLAS  355.140  324.243  21.124  0.913  None  ATLAS  HKO  None
-OBS:      59133.583  orange-ATLAS  -261.577  322.263  nan  -1.338  None  ATLAS  HKO  None
-OBS:      59133.584  orange-ATLAS  269.401  320.588  21.424  1.190  None  ATLAS  HKO  None
-OBS:      59133.587  orange-ATLAS  49.068  317.324  23.273  6.467  None  ATLAS  HKO  None
-OBS:      59133.597  orange-ATLAS  -388.687  274.802  nan  -0.768  None  ATLAS  HKO  None
-OBS:      59135.514  orange-ATLAS  26644.035  24112.852  16.436  0.905  None  ATLAS  HKO  None
-OBS:      59137.585  cyan-ATLAS  -185.695  243.446  nan  -1.423  None  ATLAS  HKO  None
-OBS:      59137.587  cyan-ATLAS  371.878  230.564  21.074  0.620  None  ATLAS  HKO  None
-OBS:      59137.589  cyan-ATLAS  -116.735  289.969  nan  -2.697  None  ATLAS  HKO  None
-OBS:      59137.603  cyan-ATLAS  128.825  261.386  22.225  2.029  None  ATLAS  HKO  None
-OBS:      59139.568  orange-ATLAS  -847.227  1125.118  nan  -1.442  None  ATLAS  HKO  None
-OBS:      59139.570  orange-ATLAS  -262.543  8226.251  nan  -34.019  None  ATLAS  HKO  None
-OBS:      59139.580  orange-ATLAS  -1633.804  27774.671  nan  -18.458  None  ATLAS  HKO  None
-OBS:      59141.578  cyan-ATLAS  465.586  189.028  20.830  0.406  None  ATLAS  HKO  None
-OBS:      59141.582  cyan-ATLAS  538.022  260.941  20.673  0.485  None  ATLAS  HKO  None
-OBS:      59141.599  cyan-ATLAS  884.708  194.636  20.133  0.220  None  ATLAS  HKO  None
-OBS:      59141.603  cyan-ATLAS  513.807  211.175  20.723  0.411  None  ATLAS  HKO  None
-OBS:      59143.554  orange-ATLAS  1147.097  4061.869  19.851  3.541  None  ATLAS  HKO  None
-OBS:      59145.569  cyan-ATLAS  1524.755  259.208  19.542  0.170  None  ATLAS  HKO  None
-OBS:      59145.571  cyan-ATLAS  1957.041  225.060  19.271  0.115  None  ATLAS  HKO  None
-OBS:      59145.574  cyan-ATLAS  1415.142  225.008  19.623  0.159  None  ATLAS  HKO  None
-OBS:      59145.580  cyan-ATLAS  1050.026  231.006  19.947  0.220  None  ATLAS  HKO  None
-OBS:      59147.533  orange-ATLAS  2500.345  302.542  19.005  0.121  None  ATLAS  HKO  None
-OBS:      59147.535  orange-ATLAS  2236.660  326.552  19.126  0.146  None  ATLAS  HKO  None
-OBS:      59147.539  orange-ATLAS  2525.806  338.458  18.994  0.134  None  ATLAS  HKO  None
-OBS:      59147.544  orange-ATLAS  2666.859  360.026  18.935  0.135  None  ATLAS  HKO  None
-OBS:      59157.534  orange-ATLAS  4066.305  512.354  18.477  0.126  None  ATLAS  HKO  None
-OBS:      59157.537  orange-ATLAS  4246.196  496.805  18.430  0.117  None  ATLAS  HKO  None
-OBS:      59157.542  orange-ATLAS  2477.422  517.781  19.015  0.209  None  ATLAS  HKO  None
-OBS:      59157.558  orange-ATLAS  2746.629  763.563  18.903  0.278  None  ATLAS  HKO  None
-OBS:      59159.534  orange-ATLAS  -6873.849  4495.497  nan  -0.710  None  ATLAS  HKO  None
-OBS:      59159.539  orange-ATLAS  3657.632  3566.191  18.592  0.975  None  ATLAS  HKO  None
-OBS:      59159.541  orange-ATLAS  5680.676  7810.929  18.114  1.375  None  ATLAS  HKO  None
-OBS:      59169.376  cyan-ATLAS  3394.689  427.731  18.673  0.126  None  ATLAS  HKO  None
-OBS:      59169.382  cyan-ATLAS  1989.757  427.798  19.253  0.215  None  ATLAS  HKO  None
-OBS:      59169.386  cyan-ATLAS  3426.100  417.984  18.663  0.122  None  ATLAS  HKO  None
-OBS:      59169.403  cyan-ATLAS  2259.436  329.878  19.115  0.146  None  ATLAS  HKO  None
-OBS:      59179.465  orange-ATLAS  3191.538  437.241  18.740  0.137  None  ATLAS  HKO  None
-OBS:      59179.468  orange-ATLAS  2873.426  522.964  18.854  0.182  None  ATLAS  HKO  None
-OBS:      59179.473  orange-ATLAS  3238.918  631.589  18.724  0.195  None  ATLAS  HKO  None
-OBS:      59179.485  orange-ATLAS  228.034  23630.045  21.605  103.625  None  ATLAS  HKO  None
-OBS:      59180.405  orange-ATLAS  2493.446  471.261  19.008  0.189  None  ATLAS  HKO  None
-OBS:      59180.411  orange-ATLAS  3227.008  461.462  18.728  0.143  None  ATLAS  HKO  None
-OBS:      59180.422  orange-ATLAS  3078.931  434.129  18.779  0.141  None  ATLAS  HKO  None
-OBS:      59180.425  orange-ATLAS  2844.461  375.469  18.865  0.132  None  ATLAS  HKO  None
-OBS:      59181.541  orange-ATLAS  2849.706  604.138  18.863  0.212  None  ATLAS  HKO  None
-OBS:      59181.545  orange-ATLAS  3819.443  653.125  18.545  0.171  None  ATLAS  HKO  None
-OBS:      59181.551  orange-ATLAS  2193.815  618.656  19.147  0.282  None  ATLAS  HKO  None
-OBS:      59181.561  orange-ATLAS  2322.737  585.330  19.085  0.252  None  ATLAS  HKO  None
-OBS:      59182.406  orange-ATLAS  2312.065  887.833  19.090  0.384  None  ATLAS  HKO  None
-OBS:      59182.413  orange-ATLAS  902.818  935.319  20.111  1.036  None  ATLAS  HKO  None
-OBS:      59182.416  orange-ATLAS  2151.791  1022.101  19.168  0.475  None  ATLAS  HKO  None
-OBS:      59182.423  orange-ATLAS  2100.874  953.797  19.194  0.454  None  ATLAS  HKO  None
-OBS:      59183.472  orange-ATLAS  3756.644  747.572  18.563  0.199  None  ATLAS  HKO  None
-OBS:      59183.473  orange-ATLAS  3933.689  845.743  18.513  0.215  None  ATLAS  HKO  None
-OBS:      59183.476  orange-ATLAS  3121.764  764.832  18.764  0.245  None  ATLAS  HKO  None
-OBS:      59183.481  orange-ATLAS  3302.174  670.341  18.703  0.203  None  ATLAS  HKO  None
-OBS:      59185.383  orange-ATLAS  2261.518  884.253  19.114  0.391  None  ATLAS  HKO  None
-OBS:      59185.389  orange-ATLAS  3076.097  781.329  18.780  0.254  None  ATLAS  HKO  None
-OBS:      59185.393  orange-ATLAS  2892.011  818.439  18.847  0.283  None  ATLAS  HKO  None
-OBS:      59185.399  orange-ATLAS  2421.029  728.730  19.040  0.301  None  ATLAS  HKO  None
-OBS:      59187.443  orange-ATLAS  2394.418  605.788  19.052  0.253  None  ATLAS  HKO  None
-OBS:      59187.445  orange-ATLAS  3022.734  722.434  18.799  0.239  None  ATLAS  HKO  None
-OBS:      59187.448  orange-ATLAS  2085.451  458.799  19.202  0.220  None  ATLAS  HKO  None
-OBS:      59187.454  orange-ATLAS  2423.260  424.070  19.039  0.175  None  ATLAS  HKO  None
-OBS:      59187.510  orange-ATLAS  2769.491  384.959  18.894  0.139  None  ATLAS  HKO  None
-OBS:      59187.537  orange-ATLAS  2139.932  434.406  19.174  0.203  None  ATLAS  HKO  None
-OBS:      59187.565  orange-ATLAS  2056.838  575.915  19.217  0.280  None  ATLAS  HKO  None
-OBS:      59187.590  orange-ATLAS  1253.141  761.910  19.755  0.608  None  ATLAS  HKO  None
-OBS:      59189.446  orange-ATLAS  2560.944  386.702  18.979  0.151  None  ATLAS  HKO  None
-OBS:      59189.448  orange-ATLAS  2414.349  432.168  19.043  0.179  None  ATLAS  HKO  None
-OBS:      59189.450  orange-ATLAS  1875.858  339.530  19.317  0.181  None  ATLAS  HKO  None
-OBS:      59189.456  orange-ATLAS  2265.687  369.307  19.112  0.163  None  ATLAS  HKO  None
-OBS:      59191.429  orange-ATLAS  2019.296  417.994  19.237  0.207  None  ATLAS  HKO  None
-OBS:      59191.431  orange-ATLAS  3470.564  548.349  18.649  0.158  None  ATLAS  HKO  None
-OBS:      59191.433  orange-ATLAS  2191.795  350.687  19.148  0.160  None  ATLAS  HKO  None
-OBS:      59191.436  orange-ATLAS  1046.165  357.788  19.951  0.342  None  ATLAS  HKO  None
-OBS:      59191.439  orange-ATLAS  2015.580  364.820  19.239  0.181  None  ATLAS  HKO  None
-OBS:      59191.439  orange-ATLAS  2418.800  309.606  19.041  0.128  None  ATLAS  HKO  None
-OBS:      59191.442  orange-ATLAS  1750.653  350.131  19.392  0.200  None  ATLAS  HKO  None
-OBS:      59191.448  orange-ATLAS  2246.984  361.764  19.121  0.161  None  ATLAS  HKO  None
-OBS:      59193.440  cyan-ATLAS  1407.343  206.879  19.629  0.147  None  ATLAS  HKO  None
-OBS:      59193.442  cyan-ATLAS  1372.777  242.982  19.656  0.177  None  ATLAS  HKO  None
-OBS:      59193.466  cyan-ATLAS  1516.352  250.198  19.548  0.165  None  ATLAS  HKO  None
-OBS:      59193.471  cyan-ATLAS  1371.513  218.071  19.657  0.159  None  ATLAS  HKO  None
-OBS:      59195.435  cyan-ATLAS  1593.676  269.331  19.494  0.169  None  ATLAS  HKO  None
-OBS:      59195.437  cyan-ATLAS  1586.354  255.403  19.499  0.161  None  ATLAS  HKO  None
-OBS:      59195.440  cyan-ATLAS  1307.374  228.791  19.709  0.175  None  ATLAS  HKO  None
-OBS:      59195.467  cyan-ATLAS  1291.814  233.818  19.722  0.181  None  ATLAS  HKO  None
-OBS:      59197.484  cyan-ATLAS  1247.384  225.776  19.760  0.181  None  ATLAS  HKO  None
-OBS:      59197.518  cyan-ATLAS  1307.374  243.172  19.709  0.186  None  ATLAS  HKO  None
-OBS:      59197.547  cyan-ATLAS  1530.383  273.938  19.538  0.179  None  ATLAS  HKO  None
-OBS:      59197.572  cyan-ATLAS  1377.844  242.501  19.652  0.176  None  ATLAS  HKO  None
-OBS:      59199.423  orange-ATLAS  3830.011  10015.478  18.542  2.615  None  ATLAS  HKO  None
-OBS:      59199.426  orange-ATLAS  -6950.243  7680.019  nan  -1.200  None  ATLAS  HKO  None
-OBS:      59199.432  orange-ATLAS  12776.150  6822.464  17.234  0.534  None  ATLAS  HKO  None
-OBS:      59199.442  orange-ATLAS  9341.143  13133.646  17.574  1.406  None  ATLAS  HKO  None
-OBS:      59205.457  cyan-ATLAS  778.395  225.735  20.272  0.290  None  ATLAS  HKO  None
-OBS:      59205.461  cyan-ATLAS  735.868  269.328  20.333  0.366  None  ATLAS  HKO  None
-OBS:      59205.467  cyan-ATLAS  761.377  229.175  20.296  0.301  None  ATLAS  HKO  None
-OBS:      59205.478  cyan-ATLAS  1452.112  275.901  19.595  0.190  None  ATLAS  HKO  None
-OBS:      59206.375  orange-ATLAS  1695.118  435.645  19.427  0.257  None  ATLAS  HKO  None
-OBS:      59206.377  orange-ATLAS  1701.375  413.434  19.423  0.243  None  ATLAS  HKO  None
-OBS:      59206.380  orange-ATLAS  1313.409  365.128  19.704  0.278  None  ATLAS  HKO  None
-OBS:      59206.385  orange-ATLAS  1004.616  432.989  19.995  0.431  None  ATLAS  HKO  None
-OBS:      59207.399  orange-ATLAS  1605.462  488.060  19.486  0.304  None  ATLAS  HKO  None
-OBS:      59207.404  orange-ATLAS  937.562  432.216  20.070  0.461  None  ATLAS  HKO  None
-OBS:      59207.408  orange-ATLAS  1833.158  449.124  19.342  0.245  None  ATLAS  HKO  None
-OBS:      59207.410  orange-ATLAS  1276.439  445.477  19.735  0.349  None  ATLAS  HKO  None
-OBS:      59207.413  orange-ATLAS  1838.231  340.073  19.339  0.185  None  ATLAS  HKO  None
-OBS:      59207.439  orange-ATLAS  1698.244  351.536  19.425  0.207  None  ATLAS  HKO  None
-OBS:      59208.400  orange-ATLAS  1320.687  438.468  19.698  0.332  None  ATLAS  HKO  None
-OBS:      59208.402  orange-ATLAS  1440.124  462.280  19.604  0.321  None  ATLAS  HKO  None
-OBS:      59208.419  orange-ATLAS  1543.121  422.815  19.529  0.274  None  ATLAS  HKO  None
-OBS:      59208.424  orange-ATLAS  1808.007  414.034  19.357  0.229  None  ATLAS  HKO  None
-OBS:      59209.468  orange-ATLAS  1505.220  525.322  19.556  0.349  None  ATLAS  HKO  None
-OBS:      59209.472  orange-ATLAS  1406.048  551.171  19.630  0.392  None  ATLAS  HKO  None
-OBS:      59209.477  orange-ATLAS  1534.617  500.285  19.535  0.326  None  ATLAS  HKO  None
-OBS:      59209.488  orange-ATLAS  1131.358  502.323  19.866  0.444  None  ATLAS  HKO  None
-OBS:      59211.459  orange-ATLAS  1334.136  557.669  19.687  0.418  None  ATLAS  HKO  None
-OBS:      59211.463  orange-ATLAS  1665.712  466.399  19.446  0.280  None  ATLAS  HKO  None
-OBS:      59211.496  orange-ATLAS  1224.616  560.874  19.780  0.458  None  ATLAS  HKO  None
-OBS:      59211.501  orange-ATLAS  886.339  553.962  20.131  0.625  None  ATLAS  HKO  None
-OBS:      59212.375  orange-ATLAS  2249.055  733.192  19.120  0.326  None  ATLAS  HKO  None
-OBS:      59212.377  orange-ATLAS  1183.586  817.858  19.817  0.691  None  ATLAS  HKO  None
-OBS:      59212.384  orange-ATLAS  1699.809  834.606  19.424  0.491  None  ATLAS  HKO  None
-OBS:      59212.389  orange-ATLAS  1254.296  807.767  19.754  0.644  None  ATLAS  HKO  None
-OBS:      59215.385  orange-ATLAS  14047.531  5534.727  17.131  0.394  None  ATLAS  HKO  None
-OBS:      59215.391  orange-ATLAS  2043.619  6629.501  19.224  3.244  None  ATLAS  HKO  None
-OBS:      59215.394  orange-ATLAS  -4703.271  5780.320  nan  -1.334  None  ATLAS  HKO  None
-OBS:      59215.429  orange-ATLAS  -2019.296  5300.652  nan  -2.850  None  ATLAS  HKO  None
-OBS:      59217.406  orange-ATLAS  691.831  338.997  20.400  0.490  None  ATLAS  HKO  None
-OBS:      59217.409  orange-ATLAS  930.679  347.143  20.078  0.373  None  ATLAS  HKO  None
-OBS:      59217.415  orange-ATLAS  1108.664  385.815  19.888  0.348  None  ATLAS  HKO  None
-OBS:      59217.450  orange-ATLAS  940.156  403.327  20.067  0.429  None  ATLAS  HKO  None
-OBS:      59219.407  orange-ATLAS  837.915  367.007  20.192  0.438  None  ATLAS  HKO  None
-OBS:      59219.411  orange-ATLAS  814.329  363.191  20.223  0.446  None  ATLAS  HKO  None
-OBS:      59219.416  orange-ATLAS  703.396  338.334  20.382  0.481  None  ATLAS  HKO  None
-OBS:      59219.427  orange-ATLAS  733.838  386.732  20.336  0.527  None  ATLAS  HKO  None
-OBS:      59220.416  cyan-ATLAS  355.140  236.879  21.124  0.667  None  ATLAS  HKO  None
-OBS:      59220.420  cyan-ATLAS  591.562  205.272  20.570  0.347  None  ATLAS  HKO  None
-OBS:      59220.425  cyan-ATLAS  515.703  219.174  20.719  0.425  None  ATLAS  HKO  None
-OBS:      59220.432  cyan-ATLAS  667.421  212.907  20.439  0.319  None  ATLAS  HKO  None
-OBS:      59221.413  cyan-ATLAS  491.134  216.590  20.772  0.441  None  ATLAS  HKO  None
-OBS:      59221.416  cyan-ATLAS  277.715  213.008  21.391  0.767  None  ATLAS  HKO  None
-OBS:      59221.423  cyan-ATLAS  543.000  254.667  20.663  0.469  None  ATLAS  HKO  None
-OBS:      59221.433  cyan-ATLAS  463.020  253.735  20.836  0.548  None  ATLAS  HKO  None
-OBS:      59222.501  cyan-ATLAS  148.730  279.911  22.069  1.882  None  ATLAS  HKO  None
-OBS:      59222.506  cyan-ATLAS  -100000000000.000  2140800000000.000  nan  -23.243  None  ATLAS  HKO  None
-OBS:      59222.521  cyan-ATLAS  542.001  326.285  20.665  0.602  None  ATLAS  HKO  None
-OBS:      59222.525  cyan-ATLAS  627.480  313.740  20.506  0.500  None  ATLAS  HKO  None
-OBS:      59223.363  cyan-ATLAS  -12055.910  30814.906  nan  -2.775  None  ATLAS  HKO  None
-OBS:      59223.365  cyan-ATLAS  8195.963  9876.136  17.716  1.205  None  ATLAS  HKO  None
-OBS:      59223.388  cyan-ATLAS  578.096  391.371  20.595  0.677  None  ATLAS  HKO  None
-OBS:      59223.416  cyan-ATLAS  895.365  289.203  20.120  0.323  None  ATLAS  HKO  None
-OBS:      59227.408  cyan-ATLAS  600.897  171.857  20.553  0.286  None  ATLAS  HKO  None
-OBS:      59227.411  cyan-ATLAS  514.754  206.416  20.721  0.401  None  ATLAS  HKO  None
-OBS:      59227.416  cyan-ATLAS  432.514  192.901  20.910  0.446  None  ATLAS  HKO  None
-OBS:      59227.427  cyan-ATLAS  187.413  202.781  21.818  1.082  None  ATLAS  HKO  None
-OBS:      59229.375  cyan-ATLAS  724.436  258.624  20.350  0.357  None  ATLAS  HKO  None
-OBS:      59229.409  cyan-ATLAS  -60.702  259.014  nan  -4.633  None  ATLAS  HKO  None
-OBS:      59229.413  cyan-ATLAS  265.461  261.213  21.440  0.984  None  ATLAS  HKO  None
-OBS:      59229.422  cyan-ATLAS  352.858  240.649  21.131  0.682  None  ATLAS  HKO  None
-OBS:      59231.387  cyan-ATLAS  383.707  248.642  21.040  0.648  None  ATLAS  HKO  None
-OBS:      59231.389  cyan-ATLAS  348.017  237.347  21.146  0.682  None  ATLAS  HKO  None
-OBS:      59231.395  cyan-ATLAS  560.790  234.971  20.628  0.419  None  ATLAS  HKO  None
-OBS:      59231.406  cyan-ATLAS  128.469  190.777  22.228  1.485  None  ATLAS  HKO  None
-OBS:      59180.749  G  2779.713  512.042  18.890  0.200  None  Gaia  Gaia-Photometric  None
-OBS:      59164.490  V  4208.075  67.256  18.440  0.017  None  Nickel  Direct/2Kx2K  None
-OBS:      59164.499  r  3575.639  55.666  18.617  0.017  None  Nickel  Direct/2Kx2K  None
-OBS:      59164.506  i  3833.851  51.910  18.541  0.015  None  Nickel  Direct/2Kx2K  None
-OBS:      59169.452  V  1525.545  1525.545  19.541  1.086  None  Nickel  Direct/2Kx2K  Bad
-OBS:      59169.460  r  3727.071  72.076  18.572  0.021  None  Nickel  Direct/2Kx2K  None
-OBS:      59169.467  i  961.158  961.158  20.043  1.086  None  Nickel  Direct/2Kx2K  Bad
-OBS:      59185.431  r  2694.933  84.198  18.923  0.034  None  Nickel  Direct/2Kx2K  None
-# END: 
diff --git a/tests/data/superphot-config-test.yaml b/tests/data/superphot-config-test.yaml
deleted file mode 100644
index 6674ab79..00000000
--- a/tests/data/superphot-config-test.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-input_dim: 12
-output_dim: 5
-neurons_per_layer: 128
-num_hidden_layers: 3
-create_dirs: False
-normalization_means:
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-- 0.0
-normalization_stddevs:
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-- 1.0
-batch_size: 32
-learning_rate: 0.0001
\ No newline at end of file
diff --git a/tests/data/test_alerce_preds.csv b/tests/data/test_alerce_preds.csv
deleted file mode 100644
index 10d810c2..00000000
--- a/tests/data/test_alerce_preds.csv
+++ /dev/null
@@ -1,500 +0,0 @@
-,name,alerce_label
-0,ZTF22abvdwik,SN Ia
-1,ZTF18aahuujv,SN Ia
-2,ZTF18aahvndq,SN Ia
-3,ZTF18aailmnv,SN Ia
-4,ZTF18aaiwzie,SN Ia
-5,ZTF18aaiykoz,SN Ia
-6,ZTF18aajivpr,SN Ia
-7,ZTF18aakkrjm,SN Ia
-8,ZTF18aakrnvd,SN Ia
-9,ZTF18aaqfqaa,SN Ia
-10,ZTF18aaqldvl,SN Ia
-11,ZTF18aatjfoe,SN Ia
-12,ZTF18aauhxce,SN Ia
-13,ZTF18aaumeys,SN Ia
-14,ZTF18aavrmlf,SN Ia
-15,ZTF18aaxcxih,SN Ia
-16,ZTF18aayivxm,SN Ia
-17,ZTF18aazcoob,SN Ia
-18,ZTF18abbpxik,SN Ia
-19,ZTF18abcecfi,SN Ia
-20,ZTF18abcptmt,SN Ia
-21,ZTF18abcysdx,SN Ia
-22,ZTF18abeecwe,SN Ia
-23,ZTF18abeegsl,SN Ia
-24,ZTF18abesqnb,SN Ia
-25,ZTF18abetewu,SN Ia
-26,ZTF18abfchzq,SN Ia
-27,ZTF18abiczpm,SN Ia
-28,ZTF18abiiqdl,SN Ia
-29,ZTF18abimhfu,SN Ia
-30,ZTF18abjtgdo,SN Ia
-31,ZTF18abtgkdo,SN Ia
-32,ZTF18abuhzfc,SN Ia
-33,ZTF18abvzdvj,SN Ia
-34,ZTF18abxqemv,SN Ia
-35,ZTF18abytyif,SN Ia
-36,ZTF18abzbkby,SN Ia
-37,ZTF18acaucsw,SN Ia
-38,ZTF18acbvahw,SN Ia
-39,ZTF18acbwchi,SN Ia
-40,ZTF18acbwglb,SN Ia
-41,ZTF18acbwtmf,SN Ia
-42,ZTF18acbwxcc,SN Ia
-43,ZTF18acbygcu,SN Ia
-44,ZTF18accwjiu,SN Ia
-45,ZTF18acdwohd,SN Ia
-46,ZTF18acllhfg,SN Ia
-47,ZTF18acqnzso,SN Ia
-48,ZTF18acqsfxh,SN Ia
-49,ZTF18acqwdla,SN Ia
-50,ZTF18acrdmmw,SN Ia
-51,ZTF18acslbve,SN Ia
-52,ZTF18acuixmb,SN Ia
-53,ZTF18acvwchp,SN Ia
-54,ZTF18acvwhaz,SN Ia
-55,ZTF18acyxnyw,SN Ia
-56,ZTF18adbmrug,SN Ia
-57,ZTF19aadmjtn,SN Ia
-58,ZTF19aaduufr,SN Ia
-59,ZTF19aadyijk,SN Ia
-60,ZTF19aaeicsm,SN Ia
-61,ZTF19aaeuhgo,SN Ia
-62,ZTF19aafndot,SN Ia
-63,ZTF19aailepg,SN Ia
-64,ZTF19aalcyfd,SN Ia
-65,ZTF19aamgokq,SN Ia
-66,ZTF19aamhgwm,SN Ia
-67,ZTF19aamhqej,SN Ia
-68,ZTF19aamkywr,SN Ia
-69,ZTF19aamtwiz,SN Ia
-70,ZTF19aanesxt,SN Ia
-71,ZTF19aanovps,SN Ia
-72,ZTF19aanpcep,SN Ia
-73,ZTF19aanuipr,SN Ia
-74,ZTF19aaobwpx,SN Ia
-75,ZTF19aaohuwc,SN Ia
-76,ZTF19aapaeye,SN Ia
-77,ZTF19aapbfot,SN Ia
-78,ZTF19aapeime,SN Ia
-79,ZTF19aaphmto,SN Ia
-80,ZTF19aapuohr,SN Ia
-81,ZTF19aaqxosb,SN Ia
-82,ZTF19aarflsx,SN Ia
-83,ZTF19aarixue,SN Ia
-84,ZTF19aasekcx,SN Ia
-85,ZTF19aatheus,SN Ia
-86,ZTF19aatqzim,SN Ia
-87,ZTF19aatubsj,SN Ia
-88,ZTF19aatvvvu,SN Ia
-89,ZTF19aaugaam,SN Ia
-90,ZTF19aauisdr,SN Ia
-91,ZTF19aavlfvn,SN Ia
-92,ZTF19aavnwyt,SN Ia
-93,ZTF19aawfcgp,SN Ia
-94,ZTF19aawmkja,SN Ia
-95,ZTF19aaxqsbn,SN Ia
-96,ZTF19aaydpiq,SN Ia
-97,ZTF19aaypehm,SN Ia
-98,ZTF19abafrvy,SN Ia
-99,ZTF19abahvdh,SN Ia
-100,ZTF19abbnamr,SN Ia
-101,ZTF19abcndvf,SN Ia
-102,ZTF19abcvrpm,SN Ia
-103,ZTF19abddsvk,SN Ia
-104,ZTF19abdkfqe,SN Ia
-105,ZTF19abdqaao,SN Ia
-106,ZTF19abdrwsz,SN Ia
-107,ZTF19abdyawn,SN Ia
-108,ZTF19abegizf,SN Ia
-109,ZTF19abegruk,SN Ia
-110,ZTF19abeytzv,SN Ia
-111,ZTF19abfhszx,SN Ia
-112,ZTF19abgmkef,SN Ia
-113,ZTF19abgppki,SN Ia
-114,ZTF19abgrmfu,SN Ia
-115,ZTF19abgurml,SN Ia
-116,ZTF19abheamc,SN Ia
-117,ZTF19abhzdjp,SN Ia
-118,ZTF19abimkwn,SN Ia
-119,ZTF19abinjcy,SN Ia
-120,ZTF19abirbpd,SN Ia
-121,ZTF19abjbtbm,SN Ia
-122,ZTF19abjibet,SN Ia
-123,ZTF19abkftvd,SN Ia
-124,ZTF19ablekwo,SN Ia
-125,ZTF19ablojrw,SN Ia
-126,ZTF19abnacvf,SN Ia
-127,ZTF19abnagzk,SN Ia
-128,ZTF19abopflp,SN Ia
-129,ZTF19abopyyu,SN Ia
-130,ZTF19abowcic,SN Ia
-131,ZTF19abpavsn,SN Ia
-132,ZTF19abpfxfs,SN Ia
-133,ZTF19abqqmui,SN Ia
-134,ZTF19abqrhvy,SN Ia
-135,ZTF19abqsvgf,SN Ia
-136,ZTF19abqviuy,SN Ia
-137,ZTF19abrirdm,SN Ia
-138,ZTF19absfopz,SN Ia
-139,ZTF19abueupg,SN Ia
-140,ZTF19abvalfd,SN Ia
-141,ZTF19abxdnzt,SN Ia
-142,ZTF19abxtdgh,SN Ia
-143,ZTF19abxvtmy,SN Ia
-144,ZTF19abyjjxp,SN Ia
-145,ZTF19abymvoy,SN Ia
-146,ZTF19abzfmak,SN Ia
-147,ZTF19abzfxel,SN Ia
-148,ZTF19abzmnuk,SN Ia
-149,ZTF19abzqwpr,SN Ia
-150,ZTF19acblzux,SN Ia
-151,ZTF19acbpqvc,SN Ia
-152,ZTF19acbrzzr,SN Ia
-153,ZTF19acbwaah,SN Ia
-154,ZTF19acbwhqc,SN Ia
-155,ZTF19acdsqir,SN Ia
-156,ZTF19acgaxej,SN Ia
-157,ZTF19acgbzam,SN Ia
-158,ZTF19acgcdas,SN Ia
-159,ZTF19acgemqj,SN Ia
-160,ZTF19achagst,SN Ia
-161,ZTF19acigkma,SN Ia
-162,ZTF19acigqdd,SN Ia
-163,ZTF19acjwqvo,SN Ia
-164,ZTF19ackiwff,SN Ia
-165,ZTF19ackjrru,SN Ia
-166,ZTF19ackjtfm,SN Ia
-167,ZTF19acmbiad,SN Ia
-168,ZTF19acnzkph,SN Ia
-169,ZTF19acpfnth,SN Ia
-170,ZTF19acruqph,SN Ia
-171,ZTF19actfxcd,SN Ia
-172,ZTF19acuymeu,SN Ia
-173,ZTF19acvgjme,SN Ia
-174,ZTF19acxmnkc,SN Ia
-175,ZTF19acyfakk,SN Ia
-176,ZTF19acykaae,SN Ia
-177,ZTF19acyndpl,SN Ia
-178,ZTF20aabcouv,SN Ia
-179,ZTF20aadvunl,SN Ia
-180,ZTF20aaeszsm,SN Ia
-181,ZTF20aafdeza,SN Ia
-182,ZTF20aafjjqj,SN Ia
-183,ZTF20aafwbcs,SN Ia
-184,ZTF20aaghnxd,SN Ia
-185,ZTF20aaghpdc,SN Ia
-186,ZTF20aahjymt,SN Ia
-187,ZTF20aahubwe,SN Ia
-188,ZTF20aaifzfk,SN Ia
-189,ZTF20aaiovoy,SN Ia
-190,ZTF20aalmeaj,SN Ia
-191,ZTF20aalrksw,SN Ia
-192,ZTF20aamenwg,SN Ia
-193,ZTF20aamknxn,SN Ia
-194,ZTF20aamnvij,SN Ia
-195,ZTF20aamqmhj,SN Ia
-196,ZTF20aanvsds,SN Ia
-197,ZTF20aaomtwl,SN Ia
-198,ZTF20aapchqy,SN Ia
-199,ZTF20aaprrgg,SN Ia
-200,ZTF20aaruwbp,SN Ia
-201,ZTF20aasiwcu,SN Ia
-202,ZTF20aattqbi,SN Ia
-203,ZTF20aatzfin,SN Ia
-204,ZTF20aaumsrr,SN Ia
-205,ZTF20aauoktk,SN Ia
-206,ZTF20aaupolv,SN Ia
-207,ZTF20aausahr,SN Ia
-208,ZTF20aausxam,SN Ia
-209,ZTF20aauwhyi,SN Ia
-210,ZTF20aavkomc,SN Ia
-211,ZTF20aavynba,SN Ia
-212,ZTF20aaydgsu,SN Ia
-213,ZTF20aayvubx,SN Ia
-214,ZTF20aazffau,SN Ia
-215,ZTF20aazhyrs,SN Ia
-216,ZTF20aazpnxl,SN Ia
-217,ZTF20aazpyhy,SN Ia
-218,ZTF20aazycgy,SN Ia
-219,ZTF20abasqfx,SN Ia
-220,ZTF20abatows,SN Ia
-221,ZTF20abawgdl,SN Ia
-222,ZTF20abazgfi,SN Ia
-223,ZTF20abbhyxu,SN Ia
-224,ZTF20abbozif,SN Ia
-225,ZTF20abbplei,SN Ia
-226,ZTF20abdxuew,SN Ia
-227,ZTF20abedydu,SN Ia
-228,ZTF20abeeahl,SN Ia
-229,ZTF20abefbpl,SN Ia
-230,ZTF20abefdvd,SN Ia
-231,ZTF20abegoix,SN Ia
-232,ZTF20abfemvr,SN Ia
-233,ZTF20abfhzhm,SN Ia
-234,ZTF20abfybms,SN Ia
-235,ZTF20abgaovd,SN Ia
-236,ZTF20abgbwmt,SN Ia
-237,ZTF20abgbxby,SN Ia
-238,ZTF20abgbxzn,SN Ia
-239,ZTF20abgdtmv,SN Ia
-240,ZTF20abgtran,SN Ia
-241,ZTF20abhzgly,SN Ia
-242,ZTF20abjcuep,SN Ia
-243,ZTF20abjwvdh,SN Ia
-244,ZTF20abjxrhg,SN Ia
-245,ZTF20abjxwga,SN Ia
-246,ZTF20abkfhzy,SN Ia
-247,ZTF20abkwvgc,SN Ia
-248,ZTF20ablklei,SN Ia
-249,ZTF20ablnjvp,SN Ia
-250,ZTF20abmarcv,SN Ia
-251,ZTF20abmcxct,SN Ia
-252,ZTF20abmxtnh,SN Ia
-253,ZTF20abndopb,SN Ia
-254,ZTF20abqmmhn,SN Ia
-255,ZTF20abqnztv,SN Ia
-256,ZTF20abvaida,SN Ia
-257,ZTF20abvvnqh,SN Ia
-258,ZTF20abyfgri,SN Ia
-259,ZTF20abywpkl,SN Ia
-260,ZTF20abywsut,SN Ia
-261,ZTF20abyylgi,SN Ia
-262,ZTF20abzcsbt,SN Ia
-263,ZTF20acberbd,SN Ia
-264,ZTF20acbiwri,SN Ia
-265,ZTF20acbjgoa,SN Ia
-266,ZTF20accovje,SN Ia
-267,ZTF20aceqoer,SN Ia
-268,ZTF20acgnbvv,SN Ia
-269,ZTF20achtpbn,SN Ia
-270,ZTF20aciievv,SN Ia
-271,ZTF20aciwcuz,SN Ia
-272,ZTF20acjfimy,SN Ia
-273,ZTF20acjsazw,SN Ia
-274,ZTF20ackdkva,SN Ia
-275,ZTF20acklcyp,SN Ia
-276,ZTF20aclftuo,SN Ia
-277,ZTF20aclggpx,SN Ia
-278,ZTF20aclnsts,SN Ia
-279,ZTF20acnigox,SN Ia
-280,ZTF20acnsinb,SN Ia
-281,ZTF20acntbmx,SN Ia
-282,ZTF20acobevy,SN Ia
-283,ZTF20acoqpbg,SN Ia
-284,ZTF20acowuix,SN Ia
-285,ZTF20acoykif,SN Ia
-286,ZTF20acpgzif,SN Ia
-287,ZTF20acpkpla,SN Ia
-288,ZTF20acpumut,SN Ia
-289,ZTF20acquetr,SN Ia
-290,ZTF20acrudzk,SN Ia
-291,ZTF20actiymd,SN Ia
-292,ZTF20actrwym,SN Ia
-293,ZTF20acudkao,SN Ia
-294,ZTF20acuhren,SN Ia
-295,ZTF20acumekm,SN Ia
-296,ZTF20acuoclk,SN Ia
-297,ZTF20acusneh,SN Ia
-298,ZTF20acuspji,SN Ia
-299,ZTF20acusqsp,SN Ia
-300,ZTF20acvebcu,SN Ia
-301,ZTF20acveyyv,SN Ia
-302,ZTF20acvezdt,SN Ia
-303,ZTF20acviwcr,SN Ia
-304,ZTF20acwncbd,SN Ia
-305,ZTF20acxdawc,SN Ia
-306,ZTF20acxmxth,SN Ia
-307,ZTF20acyqzeu,SN Ia
-308,ZTF20acyvzbr,SN Ia
-309,ZTF20aczsjzc,SN Ia
-310,ZTF21aaabvjk,SN Ia
-311,ZTF21aaabxln,SN Ia
-312,ZTF21aaagypx,SN Ia
-313,ZTF21aabvqlo,SN Ia
-314,ZTF21aacsuwx,SN Ia
-315,ZTF21aadkhte,SN Ia
-316,ZTF21aaeoxfd,SN Ia
-317,ZTF21aagrjag,SN Ia
-318,ZTF21aagtuzm,SN Ia
-319,ZTF21aagydov,SN Ia
-320,ZTF21aahdpqu,SN Ia
-321,ZTF21aaheulr,SN Ia
-322,ZTF21aahptas,SN Ia
-323,ZTF21aakijia,SN Ia
-324,ZTF21aakzmaq,SN Ia
-325,ZTF21aalgqsv,SN Ia
-326,ZTF21aaluoym,SN Ia
-327,ZTF21aalxpnl,SN Ia
-328,ZTF21aamzuxi,SN Ia
-329,ZTF21aaoghxv,SN Ia
-330,ZTF21aapfdqw,SN Ia
-331,ZTF21aapfime,SN Ia
-332,ZTF21aappdnv,SN Ia
-333,ZTF21aapxtqg,SN Ia
-334,ZTF21aapzzgf,SN Ia
-335,ZTF21aaqftpz,SN Ia
-336,ZTF21aaqgmjt,SN Ia
-337,ZTF21aaqhqke,SN Ia
-338,ZTF21aaqldsk,SN Ia
-339,ZTF21aaqvmix,SN Ia
-340,ZTF21aaqytjr,SN Ia
-341,ZTF21aarejnt,SN Ia
-342,ZTF21aarnjyd,SN Ia
-343,ZTF21aarqkes,SN Ia
-344,ZTF21aasaxdk,SN Ia
-345,ZTF21aassamj,SN Ia
-346,ZTF21aasyydo,SN Ia
-347,ZTF21aaufvpg,SN Ia
-348,ZTF21aavqphe,SN Ia
-349,ZTF21aawihwx,SN Ia
-350,ZTF21aawqpuf,SN Ia
-351,ZTF21aawxqia,SN Ia
-352,ZTF21aawyyha,SN Ia
-353,ZTF21aaxlbad,SN Ia
-354,ZTF21aaxsnvk,SN Ia
-355,ZTF21aaxswlc,SN Ia
-356,ZTF21aaxwnlr,SN Ia
-357,ZTF21aaxzczy,SN Ia
-358,ZTF21aaydxoo,SN Ia
-359,ZTF21aayggyo,SN Ia
-360,ZTF21abcahhq,SN Ia
-361,ZTF21abccaue,SN Ia
-362,ZTF21abccdld,SN Ia
-363,ZTF21abcgrcj,SN Ia
-364,ZTF21abcgxwy,SN Ia
-365,ZTF21abcmcuq,SN Ia
-366,ZTF21abcouxj,SN Ia
-367,ZTF21abdmevk,SN Ia
-368,ZTF21abgywtg,SN Ia
-369,ZTF21abiblpl,SN Ia
-370,ZTF21abicckd,SN Ia
-371,ZTF21abidtrd,SN Ia
-372,ZTF21abpamxn,SN Ia
-373,ZTF21abptxfk,SN Ia
-374,ZTF21abqedrq,SN Ia
-375,ZTF21abqfttg,SN Ia
-376,ZTF21abraccv,SN Ia
-377,ZTF21abrgdug,SN Ia
-378,ZTF21abrlslx,SN Ia
-379,ZTF21abrmevu,SN Ia
-380,ZTF21abshszs,SN Ia
-381,ZTF21abtavkd,SN Ia
-382,ZTF21abtcgoh,SN Ia
-383,ZTF21abtfogg,SN Ia
-384,ZTF21abujefa,SN Ia
-385,ZTF21abukrln,SN Ia
-386,ZTF21abvbhul,SN Ia
-387,ZTF21abvcarc,SN Ia
-388,ZTF21abvctva,SN Ia
-389,ZTF21abwcnpe,SN Ia
-390,ZTF21abxjcdc,SN Ia
-391,ZTF21abxnulm,SN Ia
-392,ZTF21abxzzys,SN Ia
-393,ZTF21abyakea,SN Ia
-394,ZTF21abyonuw,SN Ia
-395,ZTF21abywdxt,SN Ia
-396,ZTF21acafwof,SN Ia
-397,ZTF21acajcyb,SN Ia
-398,ZTF21acdcxfz,SN Ia
-399,ZTF21acdjasw,SN Ia
-400,ZTF21acdkydg,SN Ia
-401,ZTF21aceaiqm,SN Ia
-402,ZTF21acfmxeu,SN Ia
-403,ZTF21acguaen,SN Ia
-404,ZTF21acgyciq,SN Ia
-405,ZTF21acgzgvm,SN Ia
-406,ZTF21achlxxo,SN Ia
-407,ZTF21acipbwd,SN Ia
-408,ZTF21acjeegy,SN Ia
-409,ZTF21acjmvhx,SN Ia
-410,ZTF21acjoskd,SN Ia
-411,ZTF21ackcrao,SN Ia
-412,ZTF21acljfzt,SN Ia
-413,ZTF21acmfxkc,SN Ia
-414,ZTF22aaabnwa,SN Ia
-415,ZTF22aaaeeva,SN Ia
-416,ZTF22aaahesb,SN Ia
-417,ZTF22aaahjsi,SN Ia
-418,ZTF22aaailga,SN Ia
-419,ZTF22aaaiyzf,SN Ia
-420,ZTF22aacdfsw,SN Ia
-421,ZTF22aacilhr,SN Ia
-422,ZTF22aadeqoe,SN Ia
-423,ZTF22aadetzs,SN Ia
-424,ZTF22aadggnb,SN Ia
-425,ZTF22aadltbv,SN Ia
-426,ZTF22aadmgan,SN Ia
-427,ZTF22aadnqsf,SN Ia
-428,ZTF22aaebkwd,SN Ia
-429,ZTF22aaegxpa,SN Ia
-430,ZTF22aaejjtb,SN Ia
-431,ZTF22aaezjuu,SN Ia
-432,ZTF22aafbaui,SN Ia
-433,ZTF22aafoqrd,SN Ia
-434,ZTF22aafrsmk,SN Ia
-435,ZTF22aagtrsh,SN Ia
-436,ZTF22aagzbux,SN Ia
-437,ZTF22aahgxdt,SN Ia
-438,ZTF22aahhgfx,SN Ia
-439,ZTF22aajezaq,SN Ia
-440,ZTF22aajhlat,SN Ia
-441,ZTF22aajjawt,SN Ia
-442,ZTF22aajlruz,SN Ia
-443,ZTF22aajnffd,SN Ia
-444,ZTF22aajpzwm,SN Ia
-445,ZTF22aajrrzz,SN Ia
-446,ZTF22aakdbia,SN Ia
-447,ZTF22aakethm,SN Ia
-448,ZTF22aaknfly,SN Ia
-449,ZTF22aakynop,SN Ia
-450,ZTF22aalmqrv,SN Ia
-451,ZTF22aalpfln,SN Ia
-452,ZTF22aamdxkj,SN Ia
-453,ZTF22aamzzjw,SN Ia
-454,ZTF22aankxcq,SN Ia
-455,ZTF22aanzrlh,SN Ia
-456,ZTF22aaobnru,SN Ia
-457,ZTF22aaoelte,SN Ia
-458,ZTF22aaohilj,SN Ia
-459,ZTF22aaolwsd,SN Ia
-460,ZTF22aaonqcc,SN Ia
-461,ZTF22aaopawk,SN Ia
-462,ZTF22aaoqfsm,SN Ia
-463,ZTF22aaoxiux,SN Ia
-464,ZTF22aarqzls,SN Ia
-465,ZTF22aarrbne,SN Ia
-466,ZTF22aarwwyy,SN Ia
-467,ZTF22aarycqo,SN Ia
-468,ZTF22aaslyzj,SN Ia
-469,ZTF22aasyada,SN Ia
-470,ZTF22aasygdq,SN Ia
-471,ZTF22aatunnt,SN Ia
-472,ZTF22aausnwr,SN Ia
-473,ZTF22aauxzqe,SN Ia
-474,ZTF22aawetbp,SN Ia
-475,ZTF22aaweukv,SN Ia
-476,ZTF22aawzdti,SN Ia
-477,ZTF22aaxtias,SN Ia
-478,ZTF22aaygscd,SN Ia
-479,ZTF22aayprcr,SN Ia
-480,ZTF22aayrxbb,SN Ia
-481,ZTF22aazuotw,SN Ia
-482,ZTF22abaadbc,SN Ia
-483,ZTF22abaegxq,SN Ia
-484,ZTF22abakcfy,SN Ia
-485,ZTF22abayewb,SN Ia
-486,ZTF22abbecow,SN Ia
-487,ZTF22abbmgdo,SN Ia
-488,ZTF22abbtjlb,SN Ia
-489,ZTF22abcknjm,SN Ia
-490,ZTF22abdlnkm,SN Ia
-491,ZTF22abdondo,SN Ia
-492,ZTF22abdxbyh,SN Ia
-493,ZTF22abehuah,SN Ia
-494,ZTF22abfpgcn,SN Ia
-495,ZTF22abfrbzi,SN Ia
-496,ZTF22abfuosd,SN Ia
-497,ZTF22abfwchw,SN Ia
-498,ZTF22abgepyb,SN Ia
diff --git a/tests/data/test_cf.csv b/tests/data/test_cf.csv
deleted file mode 100644
index 28c4b4a5..00000000
--- a/tests/data/test_cf.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-spec_fracs,phot_fracs,phot_fracs_corr,alerce_fracs,alerce_fracs_corr
-0.2,0.2,0.2,0.2,0.2
-0.2,0.2,0.2,0.2,0.2
-0.2,0.2,0.2,0.2,0.2
-0.2,0.2,0.2,0.2,0.2
-0.2,0.2,0.2,0.2,0.2
diff --git a/tests/data/training_paper_mlp-0.pt b/tests/data/training_paper_mlp-0.pt
deleted file mode 100644
index 881451e6..00000000
Binary files a/tests/data/training_paper_mlp-0.pt and /dev/null differ
diff --git a/tests/data/training_set.csv b/tests/data/training_set.csv
deleted file mode 100644
index ace6a20c..00000000
--- a/tests/data/training_set.csv
+++ /dev/null
@@ -1,6667 +0,0 @@
-NAME,CLASS,Z
-ZTF21acaqcrw,SLSN-I,0.22
-ZTF23aaedrcn,SN Ia,0.052971
-ZTF20aafdzfo,QSO,1.138
-ZTF23aafsjor,SN Ia,0.038
-ZTF18aahpouv,SN I,0.106026
-ZTF23aaftouh,SN Ia,0.125
-ZTF23aaeqonb,SN II,0.045
-ZTF23aabutzu,SN II,0.1
-ZTF23aaghvsv,SN Ia-91T-like,0.05
-ZTF23aaghvkj,SN Ia,0.0472
-ZTF23aagkgnz,SN Ia,0.0467
-ZTF23aaftnvx,SN Ia,0.092
-ZTF23aaeuaci,SN Ia,0.068416
-ZTF23aaelbgl,SN Ia,0.066
-ZTF23aadbrdk,SN Ia,0.064
-ZTF23aaazgtw,SN IIP,0.0515
-ZTF23aahfxpr,SN Ia,0.022
-ZTF23aagmbuf,SN Ia,0.058464
-ZTF23aaglprc,SN Ia,0.075211
-ZTF23aaeskhd,SN Ia,0.114
-ZTF23aaelzdb,SN Ia,0.093
-ZTF23aaemepn,SN Ia,0.049
-ZTF23aadwitm,SN Ia,0.067
-ZTF23aaavsyk,SN Ia,0.04
-ZTF18abiczpm,SN Ia,0.093
-ZTF23aafqzkn,SN Ia,0.073752
-ZTF18acllhfg,SN Ia,0.046418
-ZTF23aaetxqb,SN Ia,0.06163
-ZTF23aadqhae,SN Ia,0.0647
-ZTF23aadcbay,TDE,0.071
-ZTF23aabutwh,SN Ia,0.045387
-ZTF23aaftebr,SN Ia,0.074253
-ZTF23aagdebl,SN Ia,0.079722
-ZTF23aagpjyp,SN Ia,0.085
-ZTF23aafwsuu,Other,-1.0
-ZTF23aafratn,SN Ia,0.091
-ZTF18aankxqv,SN Ia,0.099
-ZTF23aafwykt,SN Ic,0.02831
-ZTF23aaeygvh,SN Ia,0.07713
-ZTF23aaeyqoa,SN Ia,0.066
-ZTF23aaecexq,SN IIn,0.067
-ZTF23aadtwfs,SN Ia,0.06
-ZTF23aaczunw,SN IIn,0.108
-ZTF23aadjsyj,SN Ia,0.029
-ZTF19aanrrqu,SN II,0.02377
-ZTF23aagaiju,SN Ia,0.068
-ZTF23aafwvek,SN Ia,0.055378
-ZTF23aaeyugg,SN Ia,0.055531
-ZTF23aaelgnd,SN Ia-91T-like,0.04769291
-ZTF23aadcltm,SN II,0.0183
-ZTF23aadjhyj,SN II,0.0367
-ZTF23aadpbvm,SN Ia,0.07
-ZTF23aadakub,SN Ia,0.092
-ZTF23aadgdnv,SN II,0.020635
-ZTF23aagqyym,SN II,0.0308
-ZTF23aagunkc,Other,-1.0
-ZTF23aafvstn,SN Ia,0.085
-ZTF18aaxeoqk,SN Ia,0.0396
-ZTF21aciialn,SN Ia,0.05435
-ZTF23aagdamr,SN Ia,0.044537
-ZTF23aafhfwx,SN Ia,0.066724
-ZTF23aaejwkh,SN Ia,0.095
-ZTF23aaexcmm,SN Ia,0.062732
-ZTF23aaenpcd,SN Ia,0.101178
-ZTF23aadozop,SN Ia-91T-like,0.087
-ZTF23aackdba,SN II,0.019
-ZTF23aaabzea,SN IIn,0.105
-ZTF23aafrhew,SN Ia,0.06
-ZTF23aafvgyf,SN Ia,0.047309
-ZTF23aaeufns,SN Ia,0.049
-ZTF23aaeaxgr,SN Ia,0.08
-ZTF23aaaprhz,SN IIb,0.026452
-ZTF23aaemgto,SN Ia,0.08
-ZTF23aaeavsh,SN Ia,0.066
-ZTF23aaepuao,SN Ia,0.052532
-ZTF23aaeozef,SN Ia,0.07503
-ZTF23aaeieqk,SN Ia-91T-like,0.032948
-ZTF23aaeqhkx,SN Ia,0.030347
-ZTF23aaenctz,SN Ia,0.079
-ZTF23aaelxbd,SN Ia,0.07
-ZTF23aaedvtn,SN II,0.05
-ZTF23aaecgwh,SN Ic,0.0415
-ZTF23aaenexu,SN Ia,0.064
-ZTF23aaenlmq,SN II,0.018
-ZTF23aadvxih,SN Ia,0.014
-ZTF23aaeqsvb,SN Ia,0.086
-ZTF23aaeqhrg,SN Ia,0.025
-ZTF23aaelwoi,SN Ia,0.064
-ZTF23aadmwpn,SN Ia,0.060624
-ZTF20aanlygx,AGN,0.063
-ZTF23aadcaqo,SN Ia,0.016059
-ZTF23aaawatw,SN II,0.096
-ZTF23aaesmsf,SN IIb,0.02
-ZTF23aaeogik,SN Ia,0.0319619998
-ZTF23aaelkos,SN Ia,0.04
-ZTF23aaemgsd,SN Ia,0.023
-ZTF23aaencty,SN Ia,0.064
-ZTF23aaejvro,SN Ia,0.046
-ZTF23aadwaiz,SN II,0.0415
-ZTF23aadjpsn,SN Ia-91T-like,0.0534
-ZTF23aaepnxn,CV,0.0
-ZTF23aaedsfn,SN Ia,0.066
-ZTF23aaedrzc,SN Ia,0.06
-ZTF23aaeavsv,SN II,0.0441
-ZTF23aabqqsl,SN Ia,0.037
-ZTF23aaekejj,SN Ia,0.06
-ZTF23aaeeawl,SN Ia,0.033727
-ZTF23aadwhmn,SN Ia,0.076
-ZTF23aadwfed,SN Ia,0.063
-ZTF23aaelbbq,SN Ia,0.039456
-ZTF23aaeardk,SN Ia,0.08
-ZTF23aadaypx,SN II,0.059
-ZTF23aacjetk,SN II,0.0286
-ZTF23aaejvsg,SN Ia,0.067
-ZTF23aadszza,SN Ia,0.057
-ZTF23aaduhkq,SN Ia,0.061
-ZTF23aacyfpi,SN Ia,0.047
-ZTF23aaeeugd,SN II,0.0348110013
-ZTF23aadwlhl,SN Ia,0.046
-ZTF23aadvpwt,SN Ia-91T-like,0.03
-ZTF23aadjqvm,SN Ia,0.0446
-ZTF23aacrvqj,SN II,0.04
-ZTF23aadwigb,SN Ia,0.051
-ZTF23aadbswn,SN Ia,0.05
-ZTF23aacdlsh,SN II,0.019603
-ZTF22abvmfpq,SN Ia,0.013
-ZTF23aaehsgs,SN Ia,0.018
-ZTF23aaeauii,SN Ia,0.082
-ZTF23aadwiyy,SN Ia,0.074
-ZTF23aadqalu,SN Ia,0.04
-ZTF23aaawbsc,SN IIb,0.025
-ZTF23aaejwfe,SN Ia,0.036
-ZTF22abunrnh,SN II,0.013
-ZTF21abaiicy,SN Ia,0.07632
-ZTF23aadnpbq,SN Ia,0.054478
-ZTF22abnvurz,SN Ic-BL,0.003
-ZTF23aadvtxf,SN Ia,0.026563
-ZTF23aadtfgp,SN Ia,0.06
-ZTF23aaccacy,SLSN-I,0.22
-ZTF23aadcavq,SN Ia,0.046
-ZTF23aacyeaq,SN Ia,0.06
-ZTF23aaekiqe,SN Ia,0.016
-ZTF18aanxlcr,SN Ia,0.063
-ZTF23aaeebxm,SN Ib,0.01097
-ZTF23aadjoew,SN Ic,0.00758
-ZTF23aaciosd,SN Ia,0.08
-ZTF22abvmgtl,SN Ia,0.006484
-ZTF22abtcyhv,SN II,0.008745
-ZTF23aadjwkw,SN Ia,0.068
-ZTF23aaczrwr,SN II,0.03282
-ZTF23aadbwtw,SN II,0.045
-ZTF23aadwjtg,SN Ia,0.044167
-ZTF23aadrume,SN Ia-91T-like,0.012
-ZTF23aadvjqb,SN Ib,0.006
-ZTF23aadqctr,SN Ia,0.053
-ZTF23aadbbxb,CV,-1.0
-ZTF23aadbxsz,SN Ia-91T-like,0.055
-ZTF23aadcbfw,SN Ia,0.085
-ZTF23aadcben,SN Ia,0.023243
-ZTF23aaczaua,SN Ia,0.0329
-ZTF23aackjhs,SN II,0.00512
-ZTF23aaclqtq,SN II,0.019
-ZTF23aabtfho,SN Ia,0.028135
-ZTF23aabtgej,SN Ia,0.006698
-ZTF22abzkgja,SN Ia,0.015461
-ZTF22abnpsou,SN Ic-BL,0.027
-ZTF23aadxxrd,SN Ia,0.0556
-ZTF23aadtqlt,SN Ia,0.02
-ZTF23aadbzqx,SN Ia,0.035568
-ZTF23aadcgak,SN II,0.01
-ZTF23aadbzfq,SN II,-1.0
-ZTF22acbacvy,SN II,0.024
-ZTF23aaczpmh,SN Ia,0.049986
-ZTF22abunrdy,SN II,0.02128
-ZTF18abzqsxk,SN Ia,0.031
-ZTF22abyjfgt,SN Ia,0.024
-ZTF23aacydwa,SN II,0.014
-ZTF22abtsypf,SN IIn,0.135
-ZTF23aaclyrt,SN Ia,0.05
-ZTF23aachsdv,SN Ic,0.0170649998
-ZTF23aaarvxj,SLSN-I,0.39
-ZTF23aacfkak,SN II,0.031358
-ZTF23aadjssg,SN Ia-91T-like,0.045
-ZTF23aaczpey,SN Ia,0.0477
-ZTF23aacfiuv,SN Ia,0.016905
-ZTF23aaazegi,SN Ia-CSM,0.185
-ZTF23aadbait,SN Ia,0.01431
-ZTF23aadayxh,SN Ia,0.082
-ZTF23aacxofz,SN Ia,0.066
-ZTF22abykdbm,SN IIP,0.031245
-ZTF23aadbtou,SN Ia,0.033
-ZTF18aabkvpi,TDE,-1.0
-ZTF23aaavxye,SN IIP,0.0318
-ZTF23aabxqtq,SN Ia,0.088
-ZTF22abtspsw,SN II,0.004908
-ZTF23aabutcv,SN II,0.032314
-ZTF23aabnyfa,SN II,0.054427
-ZTF23aacosic,SN Ia,0.069
-ZTF23aabsice,SN Ia,0.021908
-ZTF18aadsuxd,SN II,0.03057
-ZTF22abzgbtq,SN IIn,0.08
-ZTF23aabmbdj,SN Ia,0.041
-ZTF23aabngtm,SN II,-1.0
-ZTF22abxlfpl,SN Ic,0.02355
-ZTF22abhwlnm,SN IIn,0.114
-ZTF23aabrsdd,SN Ia,0.065
-ZTF22abqwahz,SN Ia,0.049384
-ZTF22abqdmwt,SN Ia,0.065
-ZTF22abqbqty,SN II,0.051
-ZTF22abmxsoc,SN Ic,0.014
-ZTF22abmsaxp,SN II,0.013403
-ZTF23aaavyag,SN IIn,0.182
-ZTF23aackdlm,SN Ia,0.045
-ZTF23aaahuzb,SN Ia,0.054
-ZTF23aaabpao,SN II,0.05
-ZTF18aaiwzie,SN Ia,0.086
-ZTF23aaawbre,SN Ic,0.031
-ZTF22abynlvk,SN Ia-91T-like,0.08
-ZTF22abtsybt,SN II,0.0386
-ZTF22abjzweh,SN II,0.13415
-ZTF23aacdkme,SN Ia,0.039963
-ZTF18aayiono,SN Ia,0.065113
-ZTF21aaltbzp,AGN,0.078
-ZTF23aabwfkc,SN Ia,0.039213
-ZTF23aabbrdb,SN II,0.03
-ZTF23aaazffe,SN Ic,0.04
-ZTF23aabrftw,SN Ia,0.032
-ZTF22abtmrfr,SN II,0.017522
-ZTF23aabsicf,SN Ia,0.015
-ZTF23aaasden,SN Ia,0.072
-ZTF23aaahtnj,SN Ib,0.023
-ZTF23aaafclb,SN Ia,0.0423
-ZTF23aaatrek,SN Ia,0.061
-ZTF23aaawixk,SN Ia,0.06
-ZTF23aaapgxe,SN Ia,0.047033
-ZTF23aaalcjc,SN Ia,0.05063
-ZTF23aabasoe,SN Ia,0.06
-ZTF23aaazdla,SN II,0.015
-ZTF23aaappsd,SN Ia,0.0458
-ZTF23aaajcbm,SN Ia,0.06
-ZTF23aaaknoj,SN Ia,0.056
-ZTF23aaabctl,SN Ia,0.067
-ZTF23aaaifdk,SN Ia,0.048
-ZTF23aaabcgx,SN Ia,0.04
-ZTF22abghrui,SN IIn,0.1968
-ZTF23aaaahln,SN Ia,0.022
-ZTF18aclgopa,AGN,0.05
-ZTF23aabmevr,SN Ia,0.039
-ZTF23aabbsdi,SN Ia,0.039
-ZTF23aaashjq,SN Ia,0.075
-ZTF22abxlqol,SN II,0.026235
-ZTF23aaamjwv,CV,-1.0
-ZTF23aaarwbd,SN IIn,0.05
-ZTF23aaarwea,SN Ia,0.052
-ZTF22abxsghc,SLSN-II,0.316
-ZTF23aaaatjn,SN II,0.0175
-ZTF22abzdzek,SN II,0.027
-ZTF22abyokkf,SN II,0.021728
-ZTF23aaaatwl,Other,-1.0
-ZTF23aaavxzf,SN Ia,0.073
-ZTF23aaawbmy,SN Ia,0.064
-ZTF23aaapokf,SN Ia,0.05
-ZTF23aaapldg,SN Ia,0.053
-ZTF23aaagteq,SN Ia,0.012609
-ZTF23aaahmyn,SN Ia,0.0429
-ZTF19adgooar,SN II,0.0202
-ZTF18aamzgzi,SN Ia,0.0179
-ZTF23aaawcvx,SN Ia,0.03
-ZTF23aabctje,SN IIP,0.045911
-ZTF23aaaprnb,SN Ia,0.018133
-ZTF23aaajtqn,SN Ia,0.06
-ZTF22abyuxlw,SN Ia,0.039
-ZTF22abunjts,SN Ia-91bg-like,0.027214
-ZTF22abtdbnx,SN Ia,0.020715
-ZTF23aaagncz,SN Ia,0.0319
-ZTF22abvarjh,SLSN-I,0.42
-ZTF22abwuaru,SN Ia,0.051
-ZTF18aasyjhd,SN II,0.143
-ZTF23aaatixf,SN Ia,0.047
-ZTF23aaahuzf,SN Ia,0.049
-ZTF22acahury,SN II,0.023293
-ZTF22abytupz,SN Ia,0.06
-ZTF22abyszwg,SN Ia,0.0184
-ZTF20acwflza,SN II,0.035
-ZTF23aaaqdcr,SN Ia,0.041
-ZTF18aahvkwq,SN Ia,0.026
-ZTF23aaahuzc,SN Ia,0.081
-ZTF22abyxnrr,SN Ia,0.03
-ZTF23aaaehem,SN Ia,0.029
-ZTF20aclddpv,SN Ia,0.036
-ZTF23aaajtan,SN Ia,0.04
-ZTF23aaakutq,SN Ia,0.071
-ZTF23aaakoaa,SN Ia,0.034867
-ZTF23aaabeyy,SN Ia,0.039
-ZTF22acahbko,SN II,0.03
-ZTF22abzaijw,SN Ia,0.014571
-ZTF22abnfgcn,SN Ia,0.04
-ZTF23aaaizts,SN Ia,0.09
-ZTF23aaanxbm,CV,-1.0
-ZTF23aaaairl,Nova,0.00017
-ZTF22abtknum,SN Ia,0.003309
-ZTF22aafrjnw,SN IIb,0.0192
-ZTF22abyoczz,SN IIb,0.027
-ZTF22abnvncn,SN IIb,0.033
-ZTF22aauerwh,SN Ia-CSM,0.213
-ZTF22acadszu,SN Ia,0.058
-ZTF22abtcpig,SN IIn,0.063
-ZTF22abynkpz,SLSN-I,0.292
-ZTF22abtpejn,SN Ia,0.027619
-ZTF23aaaihae,SN Ia,0.038
-ZTF23aaaalsf,SN Ia,0.05
-ZTF22abzhahz,SN Ia,0.059226
-ZTF22abystdy,SN Ia,0.088
-ZTF22abyjttn,SN Ia,0.043761
-ZTF22abvaggn,SN Ia,0.044
-ZTF22abtybkh,SN Ia,0.043
-ZTF22abtjefa,SN II,0.01
-ZTF22abssiet,SN II,0.01449
-ZTF23aaaaxuq,SN Ia,0.056
-ZTF23aaaifls,SN II,0.01368
-ZTF23aaaahhb,SN II,0.0146
-ZTF22abtcsyd,SN II,0.026
-ZTF23aaabbpu,SN Ia,0.015
-ZTF22abyrlaw,SN Ia,0.03
-ZTF22abysshb,SN II,0.033
-ZTF22abquwiv,SN Ia,0.044
-ZTF23aaaatee,SN Ia,0.0194
-ZTF23aaaboss,SN Ia,0.046
-ZTF22abvcnnl,SLSN-I,0.13
-ZTF22abxltfq,SN IIn,0.07
-ZTF22abxzuje,SN Ia-91bg-like,0.036
-ZTF22acaucqb,SN Ia,0.038
-ZTF22abyivxh,SN II,0.03029
-ZTF22acablwr,SN Ia,0.0425
-ZTF22abyivoq,SN II,0.005264
-ZTF22abyergl,SN Ia,0.049
-ZTF22abwtqeb,SN Ic,0.0252
-ZTF22abqkzuq,SN Ia,0.022
-ZTF22abrpjxu,Nova,0.0015
-ZTF22abytwjj,SN Ib/c,0.01447
-ZTF22abtsttg,SN II,0.071
-ZTF22aabimec,TDE-H-He,0.148
-ZTF22acaexru,SN II,0.01
-ZTF22abyomty,SN Ia,0.071
-ZTF22abyokjo,SN Ia,0.068
-ZTF22abyiisu,SN II,0.031732
-ZTF22abvngdr,SLSN-I,0.308
-ZTF22abyrqec,SN Ia,0.072
-ZTF22abyknqs,SN Ia,0.054
-ZTF22abyjewt,SN Ia,0.032524
-ZTF22abyskhb,SN Ia,0.08
-ZTF22abyhvtk,SN Ia,0.061
-ZTF22abynpmq,SN Ia,0.082
-ZTF22abyrovo,SN Ia,0.041
-ZTF22abyngnw,SN Ia,0.042716
-ZTF22abykjae,SN Ia,0.066
-ZTF22abwmnow,SN Ia,0.025
-ZTF22abvcdmu,SN II,0.0424
-ZTF18abzzkyg,SN Ia,0.085
-ZTF22abtvkap,SN IIb,0.052
-ZTF22abtslvh,SN Ia,0.080009
-ZTF22ablxcrh,SN Ia-CSM,0.14
-ZTF20aahmtso,TDE,0.028
-ZTF22abynjkd,SN Ia,0.0416299999
-ZTF22abxonqa,SN Ia,0.006
-ZTF22absphuu,SN Ib,0.0425
-ZTF22absdier,SN Ia,0.1
-ZTF22abscvex,SN Ia,0.061
-ZTF22abnmpty,SN Ia,0.075
-ZTF22abngjlt,SN Ia,0.05
-ZTF22abmiuan,SN Ia-91T-like,0.13
-ZTF22abkabeh,SN Ib,0.028
-ZTF22abilaka,SN Ia,0.096
-ZTF22abylryw,SN Ia,0.06
-ZTF22abyhxlj,SN Ia,0.058
-ZTF22abueufz,SN Ia,0.07651
-ZTF21abxnjeg,SN Ia,0.062
-ZTF22abghgca,SN Ia,0.038
-ZTF22abybbud,SN II,0.013343
-ZTF22abvaxqi,SN II,0.036
-ZTF22abtctfn,SN Ia,0.026807
-ZTF22abtbijr,SN Ia,0.0349749997
-ZTF22abyjtmn,SN Ia,0.03
-ZTF22abyaood,SN Ia,0.04873
-ZTF22abwvcwq,SN Ia,0.089
-ZTF22abrahwy,SN IIb,0.0065
-ZTF22abhclyh,SN IIn,0.048
-ZTF22absmrdt,SN Ia,0.003
-ZTF22abvkkgu,SN Ia,0.037573
-ZTF22abykahf,SN Ia,0.024
-ZTF22abxmdxh,SN Ia,0.0495
-ZTF22abxkfjy,SN Ia,0.091
-ZTF22abybwdz,SN Ia,0.023
-ZTF22abxsocn,SN Ia,0.064
-ZTF22abvnonf,SN Ia,0.093
-ZTF22abwlapx,SN Ia,0.11
-ZTF22abrcivs,SN Ia,0.033
-ZTF22abmxtqr,SN Ia,0.11
-ZTF22abmpqbq,SN Ia,0.061
-ZTF22abmolve,SN Ia,0.066
-ZTF22abivebe,SN Ic-BL,0.0445
-ZTF22abexkqi,SN Ib,0.1087
-ZTF22absxaxv,SN Ia,0.07
-ZTF22aboloxt,SN II,0.08
-ZTF22ablbgrl,SN Ia,0.0478
-ZTF22abhhxuv,SN II,0.0453479
-ZTF22abvpklt,SN Ia,0.061
-ZTF22abteetl,SN Ia,0.09
-ZTF22abpxxil,SN II,0.0289
-ZTF22abtprtn,SN Ia-pec,0.04
-ZTF22abtnuch,SN Ia,0.097
-ZTF22abgveih,SN II,0.0081
-ZTF22abuygtu,SN Ia,0.059
-ZTF22abnwvyc,Other,-1.0
-ZTF22absxatm,SN Ia,0.047266
-ZTF22absqvgm,SN Ia,0.095
-ZTF22abkbmob,SLSN-I,0.31
-ZTF22abfavpu,SN II,0.0174
-ZTF22abwqedu,SN Ia,0.086
-ZTF22abvuybj,SN Ia,0.069462
-ZTF22abvdwik,SN Ia,0.11
-ZTF22abtomri,SN II,0.04
-ZTF22abtootl,SN Ia,0.072683
-ZTF22abtkkgo,SN Ia,0.067
-ZTF22abvmasw,SN II,0.03051
-ZTF22abtcphd,SN II,0.025
-ZTF22abnfjsm,SN IIn,0.08
-ZTF22abvciba,SN Ia,0.084
-ZTF22abtvkgk,SN Ia,0.057
-ZTF22abuhfdv,SN Ia,0.0496
-ZTF22abwwdbv,CV,-1.0
-ZTF22abvrtgj,SN Ia,0.055
-ZTF22abtcyos,SN Ia,0.072
-ZTF22abrboyl,SN Ia,0.049
-ZTF22abpyder,SN Iax[02cx-like],0.023
-ZTF22abubnqs,SN Ia,0.09
-ZTF22abulusd,SN II,0.017
-ZTF22abuslkt,SN Ia,0.082
-ZTF22abtvgfs,SN Ia,0.089
-ZTF22abulmbx,SN Ia,0.077313
-ZTF22abttupc,SN Ia,0.086
-ZTF22abubrek,SN Ia-91T-like,0.0832
-ZTF22abmfmng,SN Ia,0.076102
-ZTF22abfyvhf,SN IIn,0.079
-ZTF22abswuoz,SN Ia,0.07
-ZTF22abqqepp,SN Ia,0.062
-ZTF22abkwdhr,SN Ia,0.083
-ZTF22abuqitl,SN Ia,0.069
-ZTF22abvasuw,SN Ia,0.041
-ZTF22abvebdc,SN Ia,0.08
-ZTF22abtdoxf,SN Ia,0.063
-ZTF22abtcsar,SN Ia-91bg-like,0.019323
-ZTF22ablnrcv,SN II,0.0226
-ZTF22abieqzx,SN I,0.0537
-ZTF22abinbxm,SN IIP,0.032276
-ZTF22abgbhjs,SN II,0.0390830003
-ZTF22abfwihc,SN Ia-91bg-like,0.052
-ZTF19aamuxso,SN Ia,0.08
-ZTF19aalzwcr,SN Ia,0.1
-ZTF22abtciik,SN Ia,0.061645
-ZTF22abtfczg,SN II,0.025
-ZTF22abnmpwx,SN Ia,0.06518
-ZTF22abveefy,SN Ia,0.044
-ZTF22abszapf,SN Ia,0.086
-ZTF22absqxti,SN Ia,0.06
-ZTF22absygcs,SN Ia-91T-like,0.06
-ZTF18acegjxo,CV,-1.0
-ZTF22abtltcw,Nova,0.00017
-ZTF22abtctvo,SN Ia,0.044
-ZTF22absxxub,SN Ia,0.076
-ZTF22absstju,SN Ia,0.055
-ZTF22abrreei,SN Ia,0.065
-ZTF22abrbpyh,SN Ia,0.042696
-ZTF22abnoofs,SN Ia,0.03
-ZTF22abkfhua,TDE,0.049
-ZTF22abfjnpj,CV,0.0
-ZTF22abvasxc,SN Ia,0.05
-ZTF22abtlaew,SN Ia,0.074
-ZTF22abgteub,SN Ia,0.051
-ZTF22abseymh,SN Ia,0.08
-ZTF22abswuyy,SN Ia,0.052
-ZTF22absqpsa,SN Ia,0.062
-ZTF22absiyyk,SN Ia,0.058
-ZTF22abtkkxz,SN Ia,0.047
-ZTF22abteujl,SN II,0.033
-ZTF22abtdarf,SN Ia,0.028823
-ZTF22abspgzy,SN Ia,0.073
-ZTF22abpzyzz,SN Ia,0.0764
-ZTF22abtokxg,SN Ia,0.055
-ZTF22abtextj,SN Ia,0.045
-ZTF22abteqxm,CV,-1.0
-ZTF22abreusl,SN Ia,0.066
-ZTF22absphlp,SN Ia,0.093
-ZTF22abtegkn,CV,0.0
-ZTF22abtjcbg,SN Ia,0.082
-ZTF22abudhzo,SN Ia,0.019
-ZTF22ablviyf,SN Ia,0.076
-ZTF22abtekni,SN Ia,0.04
-ZTF22abswzyp,SN Ia,0.076
-ZTF22absqhkw,SN II,0.031725
-ZTF22abqpflu,SN Ia,0.066
-ZTF22abqyiaa,SN Ia,0.091
-ZTF22abqrdqq,SN Ia,0.064
-ZTF22abqpxyn,SN Ia,0.042
-ZTF22abqiyik,SN Ia,0.089
-ZTF22abqaqnn,SN II,0.028797
-ZTF18aarnbhk,SN Ia,0.064
-ZTF22abpusrt,SN Ia,0.085
-ZTF22abizuah,SN IIn,0.0935
-ZTF18acqnzso,SN Ia,0.058749
-ZTF22abrborz,SN Ia,0.06
-ZTF22abrredj,SN Ia,0.059323
-ZTF22abqqjih,SN Ia,0.027
-ZTF22abpydmh,SN Ia,0.054
-ZTF22abppdqh,SN Ia,0.075
-ZTF22abnlwjv,SN Ia,0.042
-ZTF22abmjdfo,SN Ia,0.055
-ZTF22abptwul,SN Ia,0.11
-ZTF22abebxpb,QSO,2.243
-ZTF22abqseiq,SN IIn,0.028
-ZTF22abnqzle,SN Ia,0.07
-ZTF22abfwign,SN II,0.0548
-ZTF22abgawhn,SN Ia,0.032
-ZTF22abfnfud,SN IIn,0.034
-ZTF22aazbxmi,SN IIn,0.058
-ZTF22abqbljk,SN Ia,0.0198
-ZTF22abobhmn,SN Ia,0.065
-ZTF22abjrpmv,SN Ia,0.055
-ZTF22abrexqa,SN II,0.0122
-ZTF22aboixdd,SN Ia,0.088
-ZTF22abobobs,SN Ia,0.059
-ZTF22abqajav,SN Ia-91T-like,0.023606
-ZTF22aboisvs,SN Ia,0.05
-ZTF22abpulqo,SN Ia,0.055
-ZTF22abjrcte,SN Ia,0.0335
-ZTF22abegjtx,TDE,0.054
-ZTF22abeyzcl,SN IIn,0.052
-ZTF22abqfekp,SN Ia-91T-like,0.06
-ZTF22abiupzw,SN IIn,0.024935
-ZTF22abhuvqj,SN II,0.03
-ZTF22abfuoce,SN Ia,0.058
-ZTF18aaceepu,SN Ia,0.0407759994
-ZTF22abgbhub,SN Ia,0.0193189997
-ZTF22abfwchw,SN II,0.07
-ZTF22abkpgpa,SN Ia,0.0152
-ZTF22abolsys,SN Ia,0.084
-ZTF22abnxoji,SN Ia,0.11
-ZTF22aboawxv,SN Iax[02cx-like],0.002695
-ZTF22abgwgsv,SN II,0.0217
-ZTF22abbozja,SN Ia,0.03
-ZTF22abmygmc,SN Ia-91T-like,0.0237
-ZTF22abnuakd,SN Ia,0.062
-ZTF22abnqomh,SN Ia,0.024931
-ZTF22abnxovx,SN Ia-91T-like,0.1
-ZTF22abmdqzf,SN Ia-91bg-like,0.0315
-ZTF22abmwonm,SN Ia,0.064
-ZTF22abewydn,CV,-1.0
-ZTF22abpyjrz,CV,-1.0
-ZTF22abniami,SN Ia,0.071
-ZTF22abqxkhd,SN Ia,0.0078
-ZTF22abodqjf,SN Ia,0.063
-ZTF22abexepc,AGN,0.23
-ZTF22abnvmzz,SN Ia,0.07
-ZTF22abneima,SN Ia,0.08
-ZTF22abmynyd,SN Ia,0.05
-ZTF22abmcnmz,SN Ia,0.027
-ZTF22aboapcj,SN Ia-91T-like,0.077
-ZTF17aabtvsy,SN Ia,0.069222
-ZTF22abnemvx,SN Ia,0.063
-ZTF22ablnvbh,SN Ia,0.098
-ZTF22abkybyq,SN Ia,0.072
-ZTF22abhsrll,SN Ia,0.04
-ZTF22abggmae,SN Ia,0.046
-ZTF22abembaz,SN Ia,0.0684
-ZTF22aawfeov,SN IIn,0.06
-ZTF22aboaiim,SN Ia,0.07
-ZTF22abnejmu,SN II,0.01
-ZTF22abnwpmq,SN Ia,0.017949
-ZTF22abnfsjo,SN Ia-91T-like,0.04
-ZTF22abmucza,SN Ia,0.06
-ZTF22abnehge,SN Ia-91T-like,0.08591
-ZTF22abmmvxz,SN Ia,0.024
-ZTF22abmnhau,SN Ia,0.059
-ZTF22abkhrkd,SN II,0.0177
-ZTF22abivqkc,SN II-pec,0.02
-ZTF22abhyzjq,SN Ia,0.09
-ZTF22abgawlh,SN Ia,0.05
-ZTF22abfzaed,SN Ia,0.01
-ZTF22abegteh,SN Ia,0.042
-ZTF22abajudi,TDE,0.032
-ZTF22abntdem,SN Ia,0.05
-ZTF22abmxzxm,SN Ia,0.038
-ZTF22abijxly,SN Ia,0.029751
-ZTF22abmicob,SN Ia,0.09
-ZTF22abmifhv,SN Ia,0.062
-ZTF22abllclb,SN Ic,0.021171
-ZTF20aaolusw,SN Ia,0.059
-ZTF22ablcybb,SN Ia,0.073
-ZTF22abnmngf,SN Ia,0.029
-ZTF22abnelse,SN Ia,0.026
-ZTF22abmzdzr,SN Ia,0.024
-ZTF22abjvyib,SN II,0.018
-ZTF22abiyjlx,SN Ia,0.04
-ZTF22abnujbv,SN II,0.008756
-ZTF22abmtwml,SN Ia,0.065
-ZTF22abjqztl,SN Ia,0.06
-ZTF22abnabxg,CV,-1.0
-ZTF22abmlesb,CV,-1.0
-ZTF22abmuvgq,SN I,0.097
-ZTF22abmcfrc,SN Ia,0.076
-ZTF22ablhftq,SN Ia,0.035
-ZTF22abkfgrt,SN Ia,0.071
-ZTF22abjfjsd,SN,0.049
-ZTF22abfzfnn,SN II,0.07
-ZTF22abmvmyh,SN Ia,0.08
-ZTF22abkkhao,SN II,0.01
-ZTF22abjpfpl,SN Ia,0.0489
-ZTF22abjaqoq,SN Ia,0.058
-ZTF22abemcpy,SN Ib/c,0.015
-ZTF22abjzktr,SN Ia,0.04
-ZTF22abmiohu,SN Ia,0.043
-ZTF22abkisoc,SN Ia,0.038
-ZTF22abbiwrr,SN II,0.040651
-ZTF22abmcono,SN Ia,0.06
-ZTF22abmcezf,SN Ia,0.045
-ZTF22abcvfgs,SLSN-I,0.1
-ZTF22aaynpda,SN Ia,0.025
-ZTF22abjafpr,SN Ic-BL,0.05
-ZTF22abiozoc,SN Ia,0.088
-ZTF22abiymsf,SN Ia,0.09
-ZTF22abhsxph,SN IIP,0.026308
-ZTF22abkjegi,SN Ia,0.09
-ZTF22abiyeae,SN Ia,0.067
-ZTF22abiysva,SN Ia,0.063
-ZTF22abipthl,SN Ia,0.1
-ZTF22abhencl,SN Ia,0.063
-ZTF22abgvnle,SN Ia,0.030958
-ZTF22abfyzir,SN Ia,0.053
-ZTF22abfyqsc,SN Ib,0.043
-ZTF22abftfug,SN Ia,0.072
-ZTF22abgheca,Galaxy,0.027
-ZTF22abfuwel,SN Ib,0.025
-ZTF22abecbbd,SN Ia,0.06
-ZTF22abdoehm,SN Ia,0.064
-ZTF22aazeagq,SN Ia,0.094
-ZTF22abkxbeo,SN Ia-pec,0.0177
-ZTF22abiwwyf,SN II,0.02
-ZTF22abiqxao,SN Ia,0.061
-ZTF22abgepyb,SN Ia,0.064
-ZTF22abkaaje,SN Ia,0.07
-ZTF22abjhwce,SN Ia,0.061
-ZTF22abihtsn,SN Ia,0.05
-ZTF20aakxwgy,SN Ia,0.0475
-ZTF22abfutmm,SN Ia,0.106
-ZTF22abegzdb,SN IIn,0.016
-ZTF22abahblc,SN Ia,0.029
-ZTF22ablhldn,SN Ia,0.078
-ZTF22abivrnq,SN Ia,0.059
-ZTF18aawmeiw,SN Ia,0.036
-ZTF22abipidm,SN Ia,0.085
-ZTF22abitewv,SN Ia,0.061
-ZTF22abiflfo,SN Ia,0.087
-ZTF22abhcqrr,SN Ia-pec,0.046
-ZTF22abfxwkm,SN Ia,0.101
-ZTF22abkpkej,SN Ia,0.05
-ZTF22abizgac,SN Ia,0.078
-ZTF22aazmrpx,SN II,0.0155
-ZTF22abhodtl,SN Ia,0.074
-ZTF22abhxptt,SN Ia,0.08
-ZTF22abhrjld,SN Ia-pec,0.016995
-ZTF22abfwxtr,SN II,0.022
-ZTF21abwjibi,SN Ia,0.083
-ZTF22abjpcjy,SN Ia,0.045
-ZTF22abhxptj,SN Ia,0.059
-ZTF22abgdjwt,SN Ia,0.083
-ZTF22aazuowq,SN Ia,0.066106
-ZTF22abkbjsb,SN II,0.0145
-ZTF22abhfwmr,SN Ia,0.041
-ZTF22abhcrfy,SN Ia,0.083
-ZTF22abfvxlz,SN Ia,0.117773
-ZTF22abgbywx,SN Ia,0.054
-ZTF22abfyukg,SN Ia,0.044
-ZTF22aavvqyh,TDE,0.095
-ZTF22abjagqj,SN Ia,0.034
-ZTF22abhjdlx,SN Ia,0.052
-ZTF22abgibib,SN IIb,0.045
-ZTF22abfyrxh,SN Ia,0.034487
-ZTF22abgdowr,SN Ia,0.117
-ZTF22abfzdkz,SN II,0.01
-ZTF22abgbcef,SN Ia,0.08
-ZTF22abemaki,SN Ia,0.073
-ZTF22aazjiam,SN II,0.07
-ZTF22abjeeqt,SN Ia,0.07
-ZTF20aaewhin,CV,-1.0
-ZTF22abhvyyw,SN Ia,0.06
-ZTF22abhldat,SN Ia,0.063
-ZTF22abgiayt,SN Ia,0.099
-ZTF22abfyynm,SN Ia,0.106
-ZTF22abivkuq,SN Ia,0.02473
-ZTF22abiwpck,SN Ia,0.042
-ZTF22abgyfnv,SN II,0.035741
-ZTF22abfyqzz,SN Ia-CSM,0.12
-ZTF22abfunyc,SN Ia,0.09
-ZTF22abibgsa,SN Ia,0.086
-ZTF22abhuvug,SN Ia,0.093
-ZTF22abgbbec,SN Ia,0.078
-ZTF22abjbvnv,SN Ia,0.02
-ZTF22abggmtd,SN Ia,0.093
-ZTF22abgcigh,Varstar,0.0
-ZTF22abhvfio,SN Ia,0.034
-ZTF22abgroeo,SN Ic-BL,0.08
-ZTF22abfxmvf,SN Ia,0.09
-ZTF22abfvjeg,SN Ia,0.084
-ZTF22abfutah,SN II,0.042
-ZTF22abghpvo,SN IIb,0.041919
-ZTF22abgudql,SN Ia,0.08
-ZTF22abfvshc,SN Ia,0.105
-ZTF22abgbydx,SN Ia,0.08
-ZTF22abfytlh,SN Ia,0.081
-ZTF22abgbffy,SN Ia,0.027
-ZTF22abfviaz,SN Ia,0.09
-ZTF22abftrwv,SN Ia,0.059
-ZTF22abfvjky,SN Ia,0.063
-ZTF22abbzucj,SN Ia,0.0595
-ZTF22abcfics,SN II,0.03
-ZTF22abcknjm,SN Ia,0.071
-ZTF22abaseoc,SN Ia,0.077
-ZTF22abgndif,SN Ia,0.02945
-ZTF18aaxgwpl,SN Ia,0.054538
-ZTF22abfzaqd,SN Ia,0.063
-ZTF22abfskre,SN Ia,0.06
-ZTF22abbirsn,SN Ia,0.089
-ZTF22aazjqtu,SN II,0.03
-ZTF22aaxgujq,SN II,0.015704
-ZTF22aawxlpc,SN Ibn,0.062
-ZTF22abgnofu,SN Ia,0.03
-ZTF22abfzarj,SN Ia,0.07
-ZTF22abgbbal,SN Ia,0.067
-ZTF22abfwbgr,SN Ia,0.069
-ZTF18acskxpn,SN Ia,0.054
-ZTF22abfyjgo,SN Ia,0.072
-ZTF18abqxaqe,SN Ia,0.096
-ZTF18abrcvbu,SN Ia,0.098
-ZTF22abfxmiu,SN Ia,0.099
-ZTF22abfoiaa,SN Ia,0.091
-ZTF22abfvsbt,SN Ia,0.029596
-ZTF22abghdno,SN Ia-91T-like,0.071
-ZTF22abfwthv,SN Ia,0.075264
-ZTF22aaxfqka,SN Ia,-1.0
-ZTF22abfweew,SN Ia,0.068
-ZTF22abfunxy,SN Ia,0.05
-ZTF18aatpqxq,SN Ia,0.056
-ZTF22abgaymw,SN Ia,0.08
-ZTF22abfbjem,SN Ia,0.081
-ZTF22abfyyew,SN Ia,0.068
-ZTF22abfrbzi,SN Ia,0.092
-ZTF22abfoehf,SN II,0.037
-ZTF22abfrkoh,SN Ic,0.022
-ZTF22abfspdz,SN Ia,0.07
-ZTF22abeiiqa,SN I,0.07
-ZTF22abcesfo,SN IIn,0.08
-ZTF20abrbeie,AGN,0.995
-ZTF22abfvvpv,SN Ia,0.059
-ZTF22abfyqmh,SN Ia,0.053
-ZTF22abfuosd,SN Ia,0.07
-ZTF22abdondo,SN II,0.0155
-ZTF22abbczmk,SN IIn,0.166
-ZTF22abggmuu,SN Ia,0.084927
-ZTF22abfytal,SN Ia,0.08
-ZTF22abfxwub,SN Ia,0.08
-ZTF22abgbfsb,SN Ia,0.043
-ZTF22abfviis,SN Ia,0.065
-ZTF22abgbbez,SN Ia,0.032719
-ZTF22abfwxsk,CV,-1.0
-ZTF22abfvzqg,SN Ia,0.06
-ZTF22abfhzie,SN Ia,0.12
-ZTF22abfstwn,SN Ia,0.087
-ZTF22abfzdjj,SN Ia,0.07552
-ZTF22aasycgf,SN Ia,0.01858
-ZTF22abfrbnl,SN Ia,0.05
-ZTF22aaydcsb,SN Ia,0.0359
-ZTF22aaycdbt,SN Ia,0.037
-ZTF22aakdwiu,SN Ia,0.04
-ZTF22aajsqug,SN Ia,0.05
-ZTF22abeltic,SN Ia,0.081
-ZTF22abepfmn,SN II,0.05
-ZTF22abeioig,SN Ia,0.091
-ZTF22abegjkl,SN Ia-91T-like,0.08
-ZTF22abeipbi,SN Ia,0.046
-ZTF22abdxjhr,SN Ia,0.084
-ZTF22abdlnkm,SN Ia,0.081
-ZTF22abbtmdv,SN Ia,0.096
-ZTF22abaxqlk,SN Ia,0.088
-ZTF22abamnmb,SN Ia,0.07
-ZTF22abarhid,SN Ia,0.07
-ZTF22abaqzcm,SN Ia,0.051
-ZTF18aawlxls,SN Ia,0.025
-ZTF22aayjqzc,SN Ia,0.104
-ZTF22aaxnxer,SN Ia,0.05
-ZTF22aauiabm,SN Ia,0.069
-ZTF22aaweukv,SN Ia,0.086
-ZTF22aavskaa,SN Ia,0.078
-ZTF22aaudeny,SN Ia,0.032
-ZTF22aasxakz,SN Ia,0.04
-ZTF22aaspijs,SN Ia,0.0942
-ZTF22aapmmtu,SN Ia,0.084
-ZTF18acpeekw,SN Ic-BL,0.094
-ZTF22abgawib,SN Ia,0.08
-ZTF22abfxmpc,Nova,-1.0
-ZTF22abfmtdy,SN Ia,0.053
-ZTF22abemgfd,SN Ia,0.063
-ZTF22abehuah,SN Ia,0.054169
-ZTF22aaxomex,SN Ia,0.09
-ZTF22aaxklbk,SN Ia,0.069
-ZTF22abfxkdm,SN II,0.01628
-ZTF19abmugyh,SN Ia,0.054
-ZTF22abdtcki,SN Ia,0.087
-ZTF22abbsbys,SN Ia,0.075
-ZTF22abatsyj,SN Ia,0.08
-ZTF22aauurbv,SN II-pec,0.008216
-ZTF22abevcjl,SN Ia,0.059
-ZTF22abewvtv,SN II,0.027
-ZTF22abfpgcn,SN II,0.027599
-ZTF22abddvec,SN Ia,0.042
-ZTF21abxlmuw,SN IIn,0.055
-ZTF22abfvibh,SN Ia,0.0233
-ZTF22abcuctb,SN Ia,0.094
-ZTF22abbmemk,SN Ia,0.082
-ZTF22aawptbl,SN II,0.045
-ZTF22aajlsrh,SN II,0.031
-ZTF22abbecow,SN II,0.02867
-ZTF22abeijrg,SN Ia,0.045
-ZTF22abdstgi,SN Ia,0.076
-ZTF22aazgaus,SN Ia,0.086
-ZTF22abbkhja,SN Ia,0.026
-ZTF22abafbzv,SN Ia,0.054
-ZTF22abaadbc,SN Ia,0.06
-ZTF22aazpfxt,SN Ia,0.07
-ZTF22aazdxtl,SN Ia,0.0663
-ZTF22aayvaoa,SN Ia,0.064
-ZTF22abdxbyh,SN Ia,0.064
-ZTF22abdjqlm,SN II,0.026
-ZTF22abafcrf,SN Ia-91T-like,0.057
-ZTF22aasxgjp,SN Ic-pec,0.012
-ZTF22aavobvq,SN II,0.015101
-ZTF22abbdxho,SN Ic,0.034
-ZTF22aaxtysg,SN Ia,0.03811
-ZTF22aavcfed,SN Ia,0.041271
-ZTF22abeskuc,SN Ia,0.1
-ZTF22abekkwn,SN Ia,0.08
-ZTF22abdtddo,SN,-1.0
-ZTF22abdtpru,SN Ia,0.073
-ZTF22abdxehr,SN Ia,0.111731
-ZTF22abdfjjo,SN Ia,0.033
-ZTF18abuoilc,AGN,0.33
-ZTF22aankzby,SN Ia,0.058
-ZTF22abemgir,SN Ia,0.026
-ZTF22abdlohy,SN Ia,0.031
-ZTF22aahfuaa,SN Ia,0.066
-ZTF18abfchzq,SN Ia,0.074
-ZTF22abbtqmf,SN Ia,0.085
-ZTF22abbiqoi,SN Ia,0.09
-ZTF22aayrhvp,SN Ia,0.095
-ZTF22aayrixx,SN Ia,0.061019
-ZTF22abcsiqk,SN Ia,0.087
-ZTF22abbmgne,SN Ia,0.065
-ZTF22abanxam,SN Ia,0.04566
-ZTF22aayplsv,SN Ia,0.0785
-ZTF22aausjcd,SN Ia,0.088
-ZTF22aavdxrk,CV,-1.0
-ZTF22aaujqll,SN Ia,0.079
-ZTF22aarsjvn,SLSN-II,0.29
-ZTF22aaygscd,SN II,0.025
-ZTF22aaolvwv,SN Ia,0.04
-ZTF22abcuiht,SN Ia,0.065
-ZTF22abckjon,SN II,0.0389
-ZTF22abcbses,SN Ia,0.079
-ZTF22abelwtb,SN Ia,0.02
-ZTF22aavakpj,SN Ia,0.075
-ZTF19adbmgdk,SN Ia,0.066
-ZTF22abccfni,SN Ia,0.088
-ZTF22abbkxor,SN Ia,0.075
-ZTF22aazgmum,SN Ia,0.085526
-ZTF22aaznbmz,SN Ia-91T-like,0.077
-ZTF22aavpkwo,SN II,0.03
-ZTF22aaspkif,SN II,0.0805
-ZTF18aazjflo,SN II,0.044142
-ZTF22aaafrcl,SN II,0.096
-ZTF22abblogu,SN Ia,0.078
-ZTF22abaiyaf,SN Ia-SC,0.06
-ZTF22aaywnyg,SN II,0.003606
-ZTF22aatfjcy,SN IIn,0.066
-ZTF22abcmfhh,CV,-1.0
-ZTF22abcckha,SN Ia,0.099
-ZTF22abamxcl,SN,-1.0
-ZTF22abbmgdo,SN Ia,0.07
-ZTF22abayewb,SN Ia,0.063
-ZTF22abbaqil,SN Ia,0.089
-ZTF22aaylnhq,SN Ia,0.35
-ZTF22aaobnru,SLSN-II,0.1165
-ZTF22abcklkb,SN Ia,0.03
-ZTF22aausnwr,SLSN-I,0.17
-ZTF22aasoxwu,SN II,0.034
-ZTF22abbtjlb,SN Ia,0.09
-ZTF22aasousd,SLSN-II,0.249
-ZTF22aapargp,SN II,0.033
-ZTF22aavqjqd,QSO,2.363
-ZTF22abatsqa,SN Ia,0.061
-ZTF22abakwvc,SN Ia-91bg-like,0.04
-ZTF22aavctvq,SN Ia,0.099
-ZTF22abbkvbg,SN Ia,0.11
-ZTF22abaegxq,SN II,0.033306
-ZTF22aaxtias,SN Ib,0.012
-ZTF22aarwwyy,SN Ic-BL,0.0472
-ZTF22abakcfy,SN Ia,0.049
-ZTF22abaiyyz,SN Ia,0.089
-ZTF22aasoali,SN IIn,0.118
-ZTF22abaette,SN Ia,0.089
-ZTF22abbdajx,CV,-1.0
-ZTF22aayfpso,SN Ia,0.064
-ZTF22aazuotw,SN Ib,0.033557
-ZTF22aatuxpc,SN Ia,0.099
-ZTF22aarqrxf,SLSN-I,0.26
-ZTF22aapenmy,SN Ia,0.042
-ZTF22abakwxh,SN Ia,0.07
-ZTF22abbausm,SN Ia,0.029774
-ZTF22aaqrszt,SN Ia,0.053
-ZTF22abadzpo,SN II,0.029627
-ZTF22aazjvid,SN Ia,0.111
-ZTF22aaymjam,SN Ia,0.055
-ZTF19achqzdy,SN Ia,0.093
-ZTF22aatvdon,SN Ia,0.067
-ZTF22aatunnt,SN Ib,0.04
-ZTF22aasppdz,SN Ia-91T-like,0.087
-ZTF22aaskqie,SN Ia,0.044
-ZTF22aapscub,SN Ia,0.05
-ZTF22aarbard,SN Ib,0.0356
-ZTF22aapjrvz,SN II,0.035
-ZTF22aamxszf,SN Ia,0.069
-ZTF22aamgkdw,SN Ia,0.089212
-ZTF22aajsdkt,SN II,0.02
-ZTF22abazqjm,CV,0.0
-ZTF22abahzeh,SN Ia,0.048994
-ZTF22aaynvgi,SN Ia,0.082
-ZTF22aawdqfp,SN Ia,0.037
-ZTF22aaudjgc,SN II,0.028
-ZTF22aausixa,SN Ia,0.034
-ZTF22aatpwfw,SN IIP,0.031092
-ZTF22aayjsls,SN Ia,0.03
-ZTF22aaptcfi,SN Ia,0.039681
-ZTF22aaijrci,SN IIP,0.0301
-ZTF22abbcnay,LBV,0.009
-ZTF22abavsqq,SN Ia,0.08
-ZTF22aazjgoi,SN Ia,0.075
-ZTF22aayjzmc,SN Ia,0.075
-ZTF22aavcyar,SN Ia,0.040208
-ZTF22aayrxbb,SN Ia,0.071795
-ZTF22aaxzzoc,SN II,0.022476
-ZTF22aayobas,SN Ia,0.056
-ZTF22aauwyuq,SN Ia,0.09
-ZTF22aanuapl,SN IIn,0.154
-ZTF22aazprmk,SN Ia,0.1
-ZTF22aazuuin,SN IIb,0.019
-ZTF22aazmooy,Nova,0.00017
-ZTF19aazdroc,AGN,0.283
-ZTF22aavdiim,SN Ia,0.046
-ZTF22aasjwqv,SN IIb,0.0605
-ZTF22aapqaqe,SN IIP,0.025177
-ZTF22aajivyw,SN IIP,0.04
-ZTF22aayaemx,SN Ia,0.103
-ZTF22aawavtx,SN Ia,0.054
-ZTF22aavzfwp,SN Ia,0.08
-ZTF22aavcvgd,SN II,0.029
-ZTF22aauvfay,SN Ia,0.087
-ZTF22aaudftc,SN Ia,0.0488
-ZTF22aaucozn,SN Ia,0.039
-ZTF22aaypvib,SN Ia,0.106
-ZTF22aawzdti,SN Ia,0.071
-ZTF18aawzens,SN Ia,0.091
-ZTF18abtjmns,SN II,0.025
-ZTF22aayprcr,SN Ia,0.05
-ZTF22aattfmb,SN II,0.02349
-ZTF22aarrawv,SN IIn,0.03
-ZTF22aaoiddx,SN Ia,0.03465
-ZTF18aaikcbb,SN II,0.044
-ZTF22aarynsk,SN II,0.004
-ZTF22aawfjnt,SN Ia,0.088
-ZTF22aatuxjc,SN Ia,0.11
-ZTF22aaosjja,SN II,0.0542
-ZTF22aaxbape,SN II,0.035
-ZTF22aanzrlh,SN Ia,0.023
-ZTF22aasdtcq,SN Ia,0.045
-ZTF22aaotgrc,SN IIb,0.009
-ZTF22aanwibf,SN IIn,0.038
-ZTF21aalxxzn,AGN,0.1097
-ZTF22aazdzyj,Nova,-1.0
-ZTF22aaygzdb,SN Ia,0.07
-ZTF22aaveqbx,SN Ia,0.076
-ZTF22aauuxul,SN Ia,0.084925
-ZTF22aatnyqk,SN Ia,0.036
-ZTF22aahhvqj,SN Ia-91T-like,0.0141
-ZTF22aauxpfb,SN Ia,0.066
-ZTF22aauxzqe,SN Ia,0.076
-ZTF22aayjsro,SN Ia-91T-like,0.02
-ZTF22aaputwp,SN Ia,0.07813
-ZTF22aalmqrv,SN Ia,0.074181
-ZTF22aawzgcx,SN Ia,0.069
-ZTF22aavwyfw,SN Ia,0.03373
-ZTF22aaolwsd,SN II,0.014046
-ZTF22aanppbi,SN Ia,0.022279
-ZTF22aalorla,SN II,0.06804
-ZTF22aawcmcr,SN IIb,0.019
-ZTF22aauhism,SN Ia,0.058
-ZTF22aauexsq,SN Ia,0.030298
-ZTF22aativsd,SN II,0.0183
-ZTF22aapkbkl,SN IIn,0.134
-ZTF22aasojye,SN II,0.023
-ZTF22aapjqpn,SLSN-I,0.47
-ZTF22aawtunt,SN Ia,0.0613
-ZTF22aaslkoa,SN Ia,0.04
-ZTF22aarycqo,SN IIP,0.019
-ZTF22aavbezc,SN Ia,0.078
-ZTF22aatrusq,SN Ia,0.109
-ZTF22aashqrd,SN Ia,0.039
-ZTF22aatemqx,SN Ia,0.0942
-ZTF18acjpret,SN IIn,0.01516
-ZTF22aaudmvw,CV,-1.0
-ZTF22aaokebo,SN II,0.05
-ZTF22aankxcq,SN Ia,0.091
-ZTF22aalrcmn,SN Ia,0.065
-ZTF22aaknrtp,SN Ia,0.06
-ZTF20achamic,SN,0.0989
-ZTF22aatuatn,SN Ia,0.07
-ZTF22aausgkx,SN Ia,0.077
-ZTF22aatghyo,SN Ia,0.054
-ZTF22aaohkqz,SN Ia,0.1
-ZTF22aawetbp,SN Ia,0.049
-ZTF22aatbtqn,SN Ia,0.069
-ZTF22aaoippk,SN Ia,0.020954
-ZTF22aataizc,SN Ia,0.082
-ZTF22aasmgbb,SN Ia,0.073
-ZTF22aaryrrl,SN Ia,0.073
-ZTF22aarvtbb,SN Ia,0.103
-ZTF22aaoolrn,SN Ia,0.084
-ZTF22aalfmec,SN Ic,0.0245340001
-ZTF21aanxhjv,TDE,0.018
-ZTF22aatnyuo,SN Ia,0.1
-ZTF22aatixbc,Nova,0.00017
-ZTF22aaszlph,SN Ia,0.07
-ZTF22aaslyzj,SN Ia,0.08723
-ZTF22aasygdq,SN Ia,0.079
-ZTF22aasyitj,SN Ia,0.068
-ZTF22aajspto,SN Ia,0.084
-ZTF22aattwsv,SN Ia,0.0397
-ZTF22aatcpoo,SN Ia-91bg-like,0.019
-ZTF22aartmuz,SN Ia,0.069182
-ZTF22aanyggd,SN II,0.04
-ZTF22aasyada,SN Ia,0.069966
-ZTF22aasrmim,SN Ia,0.076
-ZTF22aasfzzf,SN Ia,0.068
-ZTF22aapisdk,SN Ib-Ca-rich,0.02
-ZTF22aaohilj,SN IIn,0.0371
-ZTF22aapqwas,SN Ia,0.12
-ZTF22aaiidyo,SN IIP,0.024181
-ZTF22aarwtqp,SN Ia,0.096
-ZTF22aarqzls,SN Ia,0.02364
-ZTF22aaoxhuh,SN II,0.02
-ZTF22aaoxiux,SN Ia,0.033
-ZTF22aakaygk,SN II,0.03
-ZTF18aahwhbk,SN Ia,0.0449
-ZTF21aaqqwsa,AGN,0.083
-ZTF22aadesap,TDE,0.073
-ZTF22aasthma,SN Ia,0.056
-ZTF22aarrbne,SN Ia,0.062
-ZTF22aaptzap,SN II,0.0166549999
-ZTF22aaojclr,SN Ia,0.035027
-ZTF20aacbwbm,SLSN-II,0.148
-ZTF22aaptalm,SN Ia,0.115
-ZTF22aaqhirm,SN Ia,0.087
-ZTF22aaparwk,SN Ia,0.065
-ZTF22aadqlhy,SN Ib-pec,0.006
-ZTF22aaqlfwe,SN Ia,0.11
-ZTF22aaqiysm,SN Ia,0.05
-ZTF22aarwpcf,SN Ia,0.08
-ZTF22aaqfuhm,SN Ia,0.036
-ZTF22aaowkts,SN Ia,0.0420189984
-ZTF22aanvuvq,SN Ia,0.066
-ZTF22aamtomc,SN Ia,0.017
-ZTF22aahhywm,SN Ia-SC,0.031
-ZTF22aaopawk,SN Ia,0.050785
-ZTF22aajeyek,SN II,0.05
-ZTF22aaqzqzk,SN Ia,0.056
-ZTF22aaoelte,SN Ia,0.074
-ZTF22aarlppe,SN Ia,0.067
-ZTF22aapaavr,SN Ia,0.08
-ZTF22aaoskwd,SN Ia,0.071099
-ZTF22aaokiud,SN Ia,0.02
-ZTF22aahhrks,SN II,0.0426
-ZTF22aadeuwu,SLSN-I,0.15
-ZTF22aaphdzl,SN Ia,0.063
-ZTF22aaoolua,SN Ic,0.0180859994
-ZTF22aaokitb,SN Ia,0.05
-ZTF22aalzjdc,SLSN-I,0.2
-ZTF22aamrkns,SN II,0.041
-ZTF22aaozpun,SN Ia,0.093
-ZTF22aaoqfsm,SN Ia,0.056
-ZTF22aaolexr,SN Ia,0.074
-ZTF22aaowhti,SN Ia,0.057
-ZTF22aamwznx,SN Ia,0.016238
-ZTF22aapubaf,SN II,0.017
-ZTF22aadnqsf,SN II,0.022579
-ZTF22aanmbrl,SN II,0.027
-ZTF22aaorbxb,SN Ia,0.075
-ZTF22aakfzqz,SN Ia,0.05
-ZTF22aaofpts,SN Ia,0.076
-ZTF22aakzred,SN Ia,0.078
-ZTF22aaolcan,SN Ia,0.112
-ZTF22aaonqcc,SN Ia,0.057
-ZTF22aaogyhz,SN Ia,0.07
-ZTF22aanumko,SN Ia,0.02874
-ZTF22aaolhhl,SN Ib,0.03
-ZTF22aaohpmz,SN Ia,0.091
-ZTF22aaohzok,SN Ia,0.03
-ZTF22aamgpzz,SN II,0.0265
-ZTF22aajigho,SN Ia,0.070865
-ZTF22aaojcoc,SN Ia,0.092
-ZTF22aaorjov,SN Ia,0.049
-ZTF22aantrtp,SN Ia,0.029761
-ZTF22aaljlzq,SLSN-I,0.54
-ZTF22aaorkwk,SN Ia,0.078
-ZTF22aaobrbd,SN Ia,0.1
-ZTF22aaobkbh,SN Ia,0.029167
-ZTF22aaoewrn,SN Ia,0.086
-ZTF22aanesux,SN IIn,0.0745
-ZTF22aamzzjw,SN Ia,0.087
-ZTF22aaohmcv,SN Ia,0.059
-ZTF22aamdxkj,SN Ia,0.024
-ZTF22aallgci,SN Ia,0.079
-ZTF22aaknmbw,SN II,0.06
-ZTF22aagzbux,SN IIn,0.127
-ZTF22aadrjte,SN Ic-BL,0.161
-ZTF22aajjojx,SN IIn,0.093
-ZTF22aanjimh,SN Ia-91T-like,0.095
-ZTF22aamssbr,SN II,0.03
-ZTF22aalqzkz,SN Ia,0.08
-ZTF18abnurff,CV,-1.0
-ZTF22aangixh,SN Ia,0.05266
-ZTF22aaftzcn,SLSN-II,0.208
-ZTF22aanjyae,SN IIn,0.068
-ZTF22aalsbwt,SN Ia,0.058
-ZTF18abklbam,SN II,0.03
-ZTF22aahgvlx,SN IIb,0.056
-ZTF22aamgumi,SN II,-1.0
-ZTF22aalzeui,SN Ia,0.07
-ZTF22aaknczk,SN Ia,0.08
-ZTF22aahnkdv,SN II,0.014
-ZTF22aalxyqn,SN Ia,0.074301
-ZTF18aamvfeb,SN Ia,0.031492
-ZTF18aaaonon,SN Ia,0.071419
-ZTF21abaauot,AGN,0.052483
-ZTF22aambnsg,SN Ia,0.078365
-ZTF22aakynop,SN Ia,0.073
-ZTF22aaknvcz,SN Ia,0.067
-ZTF22aajvhrj,SN Ia,0.061916
-ZTF22aajhlaj,SN II,0.023583
-ZTF22aahwmww,SN II,0.010837
-ZTF22aagyuao,TDE,0.12
-ZTF22aalwnzj,SN Ia,0.09
-ZTF22aamfwtc,SN Ia,0.062
-ZTF22aamglev,SN Ia,0.087
-ZTF22aakmhas,SN Ia,0.075
-ZTF22aajpdbs,SN Ia,0.0694
-ZTF22aalzyzl,SN Ia,0.07749
-ZTF22aalfezf,SN Ia,0.0387500003
-ZTF22aajrfqn,SN Ia,0.088326
-ZTF22aaeviey,SN Ia,0.03
-ZTF22aaafmxf,SN Ia-pec,0.049
-ZTF22aamfjun,SN Ia,0.1
-ZTF22aalwbqe,SN Ia,0.068
-ZTF22aalwbgz,SN Ia,0.091
-ZTF22aaljyqw,SN Ia,0.036
-ZTF22aalizik,SN Ia-91T-like,0.096
-ZTF22aankymj,SN Ia,0.044678
-ZTF22aakrimd,SN Ia,0.085
-ZTF22aaksdvi,SN Ia,0.082
-ZTF22aakndny,SN Ia-91T-like,0.047
-ZTF22aakzsrj,CV,-1.0
-ZTF22aakhqrd,CV,0.0
-ZTF22aaknmzk,SN Ia,0.089
-ZTF22aakdbia,SN II,0.0029
-ZTF22aajwlug,SN Ia,0.12
-ZTF22aajjawt,SN II,0.027
-ZTF22aajhkpo,SN II,0.0333359987
-ZTF22aahhzqi,SN Ia,0.0684
-ZTF22aalsabr,SN Ia,0.0369689986
-ZTF22aalwghb,SN Ia,0.052
-ZTF22aamrhna,SN Ia,0.059384
-ZTF22aamgjba,SN Ia,0.055
-ZTF22aambeqv,SN Ia,0.044
-ZTF22aakpwqf,SN Ia,0.067
-ZTF22aaklhfg,SN Ia,0.041
-ZTF22aaknhja,SN Ia,0.0667
-ZTF22aajuhsi,SN Ia,0.065
-ZTF22aagyrlp,SN Ia,0.044607
-ZTF22aadfnrx,SN II,0.038667
-ZTF22aamiomf,SN Ia,0.080068
-ZTF22aalmrqp,SN Ia,0.055
-ZTF22aakmtrc,SN Ia,0.086
-ZTF22aakbzzl,SN Ia,0.09
-ZTF22aaegxpa,SN II,0.0401
-ZTF22aaddwbo,TDE,0.105
-ZTF22aamfvrs,SN Ia,0.075
-ZTF22aambfit,SN Ia,0.08
-ZTF22aakjjjj,SN Ia,0.046
-ZTF22aaijrul,SN Ia,0.09
-ZTF22aahgxdt,SN Ia-91bg-like,0.006
-ZTF22aaknfly,SN Ia,0.037112
-ZTF22aakoxtx,SN Ia,0.04
-ZTF22aajkpen,SN IIb,0.015
-ZTF22aadgefj,TDE,0.096
-ZTF22aadmgan,SN Ia,0.015
-ZTF22aaliywk,SN Ia,0.0765
-ZTF22aakqvzc,SN Ia,0.08
-ZTF22aakqruk,SN Ia,0.078
-ZTF22aakpvbx,SN Ia,0.054876
-ZTF22aalyumh,SN Ia,0.077
-ZTF22aalunvy,SN Ia,0.072
-ZTF22aakelti,SN II,0.057
-ZTF22aakdqqg,SN II,0.01991
-ZTF22aajlzbs,SN Ia,0.042
-ZTF22aajryew,SN Ia,0.05096
-ZTF22aajhkvu,SN Ia,0.05828
-ZTF22aajezaq,SN Ia,0.022019
-ZTF22aaipocw,SN Ia,0.029787
-ZTF22aaijnqy,SN Ia-91T-like,0.082
-ZTF22aahhubz,SN Ia,0.097
-ZTF22aahhgjh,SN,0.03
-ZTF22aahecwj,SN Ia,0.079
-ZTF22aagvxjc,SN IIn,0.025
-ZTF22aahhlnd,SN Ia,0.051
-ZTF22aafoweb,SN Ia,0.05707
-ZTF22aaetqzk,SN IIn,0.089
-ZTF22aadesjc,SN IIn,0.1035
-ZTF22aaaovio,SN Ia,0.027
-ZTF22aamgjeh,SN Ia,0.057
-ZTF22aaldrem,SN Ia,0.058
-ZTF22aakyrye,SN Ia,0.081
-ZTF22aakitdm,SN Ia,0.08
-ZTF22aajnffd,SN Ia,0.061
-ZTF22aaezyos,SN Ib,0.033
-ZTF22aaeaktc,SN Ia,0.08
-ZTF22aaddtiu,SN II,0.03735
-ZTF22aalpfln,SN Ia-91T-like,0.0862883
-ZTF22aajowwt,SN II,0.04106
-ZTF18aaqpeoq,SN Ia,0.075445
-ZTF22aahebcu,SN Ia,0.042
-ZTF22aagvgwl,SN II,0.025
-ZTF22aakpyqw,SN Ib,0.03
-ZTF22aakbknj,SN,0.0767
-ZTF22aakcvbr,SN Ia,0.045291
-ZTF22aajltzm,CV,-1.0
-ZTF22aajtsxd,CV,-1.0
-ZTF22aahmbwn,SN Ia,0.058
-ZTF22aahhgue,SN Ia,0.096
-ZTF22aagvtzz,SN IIn,0.018
-ZTF22aadoihx,SN Ib,0.010411
-ZTF22aadpuwe,SN IIP,0.0091
-ZTF22aadepkk,SN Ia,0.056
-ZTF22aadfbbs,SN II,0.024
-ZTF20acnvniw,SN IIn,0.0217
-ZTF22aaketce,SN Ia,0.077
-ZTF22aahwlcv,SN Ia,0.064
-ZTF22aaddorn,SN Ia,0.021103
-ZTF22aacrugz,SN Ia,0.027
-ZTF22aajakms,SN Ib/c,0.0335
-ZTF22aajcupz,SN IIn,0.0748
-ZTF22aahgubb,SN II,0.021
-ZTF22aagetzx,SN Ia,0.026
-ZTF22aadkowq,SN Ia,0.037
-ZTF22aadksbz,SN II,0.012
-ZTF22aakkmri,SN Ia,0.04
-ZTF22aajijjf,SN Ia,0.03
-ZTF22aajhtpy,SN Ia,0.035
-ZTF22aahndul,SN Ia,0.084503
-ZTF22aadewot,SN II,0.036
-ZTF22aakethm,SN Ia,0.053
-ZTF22aajsbbl,SN Ia,0.054
-ZTF22aajpgof,SN Ia,0.07
-ZTF22aaitzvr,SN II,0.04
-ZTF22aahhgfx,SN II,0.008
-ZTF18aaqldvl,SN Ia,0.063
-ZTF22aakcnxq,SN Ia,0.071996
-ZTF22aajlruz,SN Ia,0.09
-ZTF22aakejxf,SN Ia-91bg-like,0.0687
-ZTF22aajrrzz,SN Ia,0.034129
-ZTF22aajjasl,SN Ia,0.0377959982
-ZTF22aajhyin,SN II,0.03
-ZTF22aajidyk,SN Ia,0.049
-ZTF22aajhsbn,SN Ib,0.022
-ZTF22aafffpq,SN Ia,0.049751
-ZTF22aaecenq,SN Ia,0.056
-ZTF22aakquvw,SN Ia,0.031465
-ZTF19abkromi,SN Ia,0.06
-ZTF22aajsqdv,SN Ia,0.068
-ZTF22aahiyfc,SN Ia,0.066
-ZTF22aakemmo,SN Ia,0.057239
-ZTF22aakjlau,SN Ia,0.076
-ZTF22aajrwmu,SN Ia,0.093761
-ZTF22aajrjrc,SN Ia,0.0464319997
-ZTF22aajjqti,CV,-1.0
-ZTF22aajjlin,SN Ia,0.094
-ZTF22aaijrcl,SN Ia,0.049088
-ZTF22aagtrsh,SN Ia,0.087439
-ZTF22aaeigxr,SN Ia,0.066
-ZTF22aaizxqg,SN Ia,0.09
-ZTF22aaimgvi,SN Ia,0.078
-ZTF22aahaasc,SN Ia,0.03
-ZTF22aafracj,SN Ia,0.03
-ZTF22aajvkrd,SN Ia,0.077
-ZTF22aajhlat,SN Ia,0.076
-ZTF22aafqaew,SN Ia,0.07
-ZTF22aaiiikj,SN Ia,0.0196070001
-ZTF22aajiynq,SN Ia,0.084
-ZTF22aahwcya,SN Ia,0.0653
-ZTF22aaibhya,SN Ia,0.0855
-ZTF22aaialae,SN II,0.033047
-ZTF20aasivtu,AGN,0.223
-ZTF22aajpzwm,SN Ia,0.043647
-ZTF22aaimbfz,SN Ia,0.078
-ZTF22aajhtvl,SN Ia-91T-like,0.152
-ZTF22aaiiiho,SN Ia,0.06
-ZTF22aabxuxf,SN IIn,0.085
-ZTF22aadpscu,LBV,0.00239
-ZTF18acwyvak,AGN,0.055785
-ZTF20abbhlct,AGN,0.061759
-ZTF18abrzevn,AGN,0.045399
-ZTF22aaikzzr,SN Ia,0.063233
-ZTF22aahoxbx,SN Ia,0.081
-ZTF22aafiwtv,SN Ia,0.019
-ZTF22aadnjsh,SN Ib,0.024
-ZTF22aahieds,SN Ia,0.051
-ZTF22aahyqck,SN Ia,0.061
-ZTF22aahjayr,SN Ia,0.069
-ZTF22aahedwz,SN IIn,0.067
-ZTF19abmmksy,AGN,0.0835
-ZTF22aahygkd,SN Ia,0.0752
-ZTF22aaebkwd,SN Ib,0.0354
-ZTF22aahibvx,SN II,0.0343
-ZTF22aaffaah,SN Ia,0.077496
-ZTF22aadqgoa,SLSN-I,0.39
-ZTF22aadetzs,SN Ia,0.119
-ZTF22aahhocd,SN Ia,0.078
-ZTF20aaruwbp,SN Ia,0.059694
-ZTF22aahaufu,SN Ia,0.059772
-ZTF22aaidexe,SN Ia,0.077198
-ZTF22aadghdv,SN Ia,0.067
-ZTF22aadlpkc,SN Ib,0.042
-ZTF22aaaepmu,SN II,0.031
-ZTF22aagzcai,SN Ia,0.070743
-ZTF22aaekgxv,SN Ia,0.048
-ZTF22aahftli,SN Ibn,0.033
-ZTF19abkxeft,SN II,0.0368
-ZTF22aaevnvp,SN Ia,0.073
-ZTF22aaeasul,SN II,0.030248
-ZTF22aafdaai,SN Ia,0.08
-ZTF22aafsqud,SN II,0.023
-ZTF22aafpbbu,SN Ia,0.085094
-ZTF22aaemgsl,SN Ia,0.062604
-ZTF22aaddvbe,SN Ia,0.052
-ZTF22aabjpii,SN II,0.044
-ZTF22aaafeiu,SN Ia,0.0301
-ZTF22aafqamd,SN Ia,0.059
-ZTF22aafrsmk,SN Ia,0.036061
-ZTF22aafnqfz,SN Ia,0.05447
-ZTF22aafnqtw,SN Ia,0.05013
-ZTF22aadepde,SN Ia,0.053489
-ZTF22aaettxg,SN Ia-91T-like,0.09
-ZTF22aabuamq,AGN,0.074
-ZTF22aaabovl,TDE,0.124
-ZTF22aagtxzo,SN Ia,0.0817
-ZTF22aaemoot,SN II,0.025
-ZTF22aadkocy,SN Ia,0.026355
-ZTF22aaevwec,SN II,0.031218
-ZTF22aaecdin,SN IIb,0.03
-ZTF22aacgcwv,TDE,0.072
-ZTF22aaerfpk,SN Ia,0.076
-ZTF22aaejlrf,SN Ia,0.104
-ZTF22aadolze,SN Ia-91T-like,0.0535
-ZTF22aadolby,SN II,0.02
-ZTF22aafoqrd,SN Ia,0.0047
-ZTF22aaefjef,SN Ia,0.073
-ZTF22aaeaqmz,SN Ia,0.067
-ZTF22aaedrzw,SN Ia,0.069441
-ZTF22aadfgpu,SN Ia,0.073
-ZTF22aadlnaf,SN Ia,0.038
-ZTF22aadggnb,SN Ia,0.08
-ZTF22aadeurv,SN Ia,0.06
-ZTF22aadgsdi,SN Ia-CSM,0.066
-ZTF22aaezjuu,SN Ia,0.06
-ZTF22aaejjtb,SN Ia,0.065
-ZTF18aajkrxi,SN Ia,0.08027
-ZTF22aadkxhp,SN Ia,0.061
-ZTF19acfqtej,SN Ia,0.035017
-ZTF22aadknec,SN Ia,0.06
-ZTF22aaahull,SN Ia,0.087
-ZTF22aaflcke,CV,-1.0
-ZTF22aaemhwl,SN Ia,0.033128
-ZTF22aabzsqo,SN II,0.03
-ZTF22aadpgmo,SN Ia,0.078
-ZTF22aaektkm,SN Ia,0.065
-ZTF18aatmlsy,SN Ia,0.03
-ZTF22aadedjt,SN Ia,0.06
-ZTF22aadfbim,SN Ia,0.076
-ZTF22aadeqoe,SN Ia,0.088
-ZTF22aadlmgg,SN Ia-91bg-like,0.046
-ZTF22aadoypp,SN II,0.036
-ZTF22aaedgbt,SN Ia,0.085
-ZTF22aadfstk,SN Ia,0.079
-ZTF22aadfecx,SN Ia,0.058
-ZTF22aademuj,SN Ia,0.07901
-ZTF22aadfcnz,SN Ia,0.075
-ZTF22aadetzg,SN Ia,0.064921
-ZTF21abmwftm,TDE,0.176
-ZTF22aaecoej,SN Ia,0.09
-ZTF22aadthro,SN Ia,0.032759
-ZTF22aadltbv,SN Ia,0.105
-ZTF22aadexro,SN Ia,0.072135
-ZTF22aadliib,SN Ia,0.11
-ZTF22aadeqxu,SN Iax[02cx-like],0.009
-ZTF22aadljkb,SN IIP,0.010134
-ZTF22aaafomy,SN Ia,0.03
-ZTF22aadeslb,SN Ia,0.086
-ZTF22aaddsxu,SN Ia,0.081
-ZTF22aaaedas,TDE,0.107
-ZTF22aadiujq,SN Ia,0.027429
-ZTF22aaedtvn,SN Ia,0.078
-ZTF22aadkxfy,SN Ia,-1.0
-ZTF22aacfkpb,SN Ia,0.012
-ZTF22aaambwy,SN II,0.033
-ZTF22aaemvhi,SN Ia-CSM,0.023
-ZTF22aacdfsw,SN Ia,0.063798
-ZTF22aadfkzb,SN Ia,-1.0
-ZTF22aadfrjm,SN Ia,0.05
-ZTF18acszuad,SN Ia,0.0411
-ZTF21abmfrad,SN Ia,0.046
-ZTF22aadfjze,SN Ia,0.051871
-ZTF22aadevoi,SN Ia,0.0695
-ZTF21acfiqtd,SN Ia,0.0824
-ZTF21abqedrq,SN Ia-91T-like,0.126
-ZTF22aabwuwv,SN Ia-91T-like,0.079
-ZTF22aabwxnp,SN Ia,0.084
-ZTF19aapqqrb,SN Ia,0.048167
-ZTF22aaafjoc,SN II,0.039
-ZTF22aaajuiz,SN Ia,0.091
-ZTF22aaaenuc,SN Ia,0.048
-ZTF22aaaepjq,SN Ia,0.047
-ZTF22aaacvyy,SLSN-II,0.15
-ZTF22aacnxuw,SN Ia,0.084
-ZTF22aabwfss,SN Ia,0.084
-ZTF22aaafgwq,SN Ia,0.024981
-ZTF22aadqkuv,SN Ia-91T-like,0.1
-ZTF22aaboeex,SN Ia,0.09
-ZTF22aaahghb,SN Ia,0.05
-ZTF22aaahtqz,TDE,0.03782
-ZTF18aaeipng,SN IIb,0.017
-ZTF22aacmgox,SN Ia,0.028206
-ZTF21acrbbwi,SLSN-I,0.2491
-ZTF21abtorlk,SN IIn,0.031
-ZTF22aacagjm,SN Ia,0.094
-ZTF22aabwemz,SN IIn,0.036
-ZTF22aabrffl,SN Ia-91T-like,0.05
-ZTF22aabzjge,SN Ia,0.086
-ZTF22aaabpqn,SN II,0.038287
-ZTF22aabnzsk,SN Ib,0.023
-ZTF22aaaffxq,SN Ia,0.079
-ZTF22aaaihgr,TDE,0.062
-ZTF22aacdlkc,SN Ia,0.08
-ZTF22aabvetw,SN Ia,0.07
-ZTF22aaaivuk,SN Ib,0.064
-ZTF21aciubsk,Other,-1.0
-ZTF21acqvuyb,SLSN-II,0.229
-ZTF22aacrwal,SN Ia-91T-like,0.07
-ZTF19ackiwff,SLSN-II,0.403
-ZTF22aacmgor,SN Ia,0.054
-ZTF20acnznms,SLSN-II,0.204
-ZTF19ackzvdp,SLSN-II,0.3035
-ZTF19acblhej,SLSN-II,0.202
-ZTF22aacilhr,SN Ia,0.028617
-ZTF22aabgazg,SN Ic-BL,0.0188
-ZTF22aaafbma,SN IIP,0.02209
-ZTF22aacgyip,SN Ia,0.0792
-ZTF22aaahewf,SN Ia,0.02
-ZTF21aabiipy,TDE,0.152
-ZTF22aaaoiaz,SN Ia,0.025
-ZTF22aaahklt,SN Ia,0.081
-ZTF22aaajoxo,SN Ia,0.078
-ZTF18aaqzhib,AGN,0.062
-ZTF22aabwrov,SN Ia,0.079
-ZTF22aabomyi,SLSN-II,0.188
-ZTF18aasypqx,SN Ia-91T-like,0.073
-ZTF22aaaxjln,SN Ia,0.0213149991
-ZTF22aaaowlo,SN II,0.024193
-ZTF21aalkhot,SLSN-I,0.051
-ZTF22aaaooyv,SN II,0.01
-ZTF22aaaehzu,SN II,0.015
-ZTF18adbzccu,AGN,0.654
-ZTF22aaaqwar,SN Ia,0.035
-ZTF22aabwfvz,SN Ia,0.069
-ZTF19aalfyyn,AGN,0.154
-ZTF22aaahhbo,SN II,0.045
-ZTF22aaajrdf,SN Ia-91bg-like,0.0369
-ZTF22aaafjir,SN II,0.03468
-ZTF20aanzldk,AGN,0.053
-ZTF22aabjlih,SN Ia,0.064
-ZTF22aaagrex,SN Ia,0.07
-ZTF22aaahuly,SN Ic-BL,0.042
-ZTF22aaagxsz,SN II,0.023
-ZTF22aabbfre,SN Ia,0.064
-ZTF22aaaltnx,SN Ia,0.061
-ZTF22aaaivxh,SN Ia,0.075
-ZTF22aaarcds,SN Ia,0.05038
-ZTF22aaahesb,SN II,0.020954
-ZTF21aaqawpd,SLSN-I,0.24
-ZTF22aaajqyk,SN Ia,0.14
-ZTF18aaiwewk,SN Ia,0.087
-ZTF22aaafcvd,SN Ia,0.07
-ZTF22aaajife,SN Ia,0.06
-ZTF22aaaifcx,SN II,0.043
-ZTF21acmrdga,SN IIb,0.034
-ZTF21acjniho,SN Ia-91T-like,0.043
-ZTF22aaafmzj,SN Ia,0.09
-ZTF22aaafgdl,SN Ia,0.032726
-ZTF22aaaoxsl,SN Ia,0.045
-ZTF22aaafnvl,SN Ia-91T-like,0.053
-ZTF22aaaxiru,SN Ia,0.071
-ZTF22aaagxuu,SN Ia,0.072
-ZTF22aaasqwx,SN Ib,0.026
-ZTF22aaagtej,SN II,0.016
-ZTF22aaaepgu,SN Ibn,0.05
-ZTF22aaagrce,SN Ib,0.035
-ZTF22aaagrqi,SN II,0.017859
-ZTF22aaaffer,SN Ia,0.074735
-ZTF18abwztji,SN Ia,0.058515
-ZTF22aaafbka,SN Ia,0.105
-ZTF22aaaehtn,SN II,0.022
-ZTF22aaaepao,SN II,0.024775
-ZTF22aaavmst,SN Ia,0.04
-ZTF21acedzag,SN Ia,0.08
-ZTF22aaafpbi,SN II,0.02
-ZTF22aaaokni,SN Ia,0.072
-ZTF22aaaiyzf,SN II,0.039
-ZTF21abzlujs,SN Ia,0.036294
-ZTF22aaajuya,SN Ia,0.051
-ZTF22aaafnry,SN Ia,0.069138
-ZTF22aaafdpd,SN Ia,0.05595
-ZTF22aaahjsi,SN Ia,0.047694
-ZTF18acbwazl,SN Ic-Ca-rich,0.0076
-ZTF22aaafetg,SN Ia,0.08
-ZTF22aaafeil,SN Ia,0.053
-ZTF22aaacnbw,SN Ia,0.0067
-ZTF22aaahcwj,SN Ia,0.009117
-ZTF22aaafqzd,SN Ia,0.0707
-ZTF22aaagvyp,SN Ia,0.084
-ZTF22aaajcft,SN Ia,0.06
-ZTF22aaafdrn,SN Ia,0.06
-ZTF22aaabmmc,SN II,0.037
-ZTF22aaacswh,SN Ia,0.0489
-ZTF22aaacwcc,SN Ia,0.07
-ZTF22aaaedvr,SN II,0.022866
-ZTF21abxngcz,TDE,0.286
-ZTF22aaajhkj,SN Ia,0.043
-ZTF22aaafkvn,SN Ic,0.015
-ZTF22aaajhqk,SN Ia,0.062
-ZTF22aaafohf,SN Ia,0.03
-ZTF22aaajima,SN Ib,0.032
-ZTF22aaacxkp,SN II,0.007979
-ZTF22aaacnmh,SN II,0.02
-ZTF22aafbaui,SN Ia,0.015
-ZTF22aaafdwm,SN Ia,0.03
-ZTF22aaanfjh,SN Ia,0.0221
-ZTF22aaaikzg,SN Ia,0.054
-ZTF20abqkbfx,SN Ia-CSM,0.0964
-ZTF22aaaepck,SN II,0.038587
-ZTF22aaanfhy,SN II,0.013
-ZTF22aaaepob,SN Ia-91T-like,0.06
-ZTF22aaaiykj,SN Ia,0.03
-ZTF22aaaefgq,SN II,0.043571
-ZTF21acbxtqq,SN Ia,0.046
-ZTF22aaabnan,SN Ia,0.055
-ZTF21acjeegy,SN Ia,0.018279
-ZTF20abshfkf,AGN,0.24
-ZTF22aaaeibb,SN Ia,0.066
-ZTF22aaagxnb,SN Ia,0.04
-ZTF22aaacpav,SN Ia,0.04
-ZTF22aaabzju,SN IIn,0.0215
-ZTF22aaabnwa,SN Ia,0.036
-ZTF21acqyqwu,SN Ib,0.042
-ZTF21acaqdee,SN IIP,0.0053
-ZTF22aaagvdj,CV,-1.0
-ZTF22aaabpkx,SN Ia,0.04
-ZTF22aaailga,SN Ia,0.044
-ZTF22aaaeeva,SN Ia,0.035
-ZTF21aclyyfm,SN II,0.004897
-ZTF21acpfndw,SN Ia,0.027229
-ZTF22aaajbnz,SN IIn,0.035
-ZTF21acjjwmj,SN Ia,0.065
-ZTF21acjxjpu,SN Ic,0.03
-ZTF21ackwihz,SN Ia,0.029
-ZTF19aantokv,SLSN-I,0.404
-ZTF18abszecm,SLSN-I,0.4373
-ZTF18abrzcbp,SLSN-I,0.32
-ZTF18aazgrfl,SLSN-I,0.434
-ZTF21acjglei,SN II,0.018176
-ZTF21acldmwy,SN Ia,0.11
-ZTF21acmtqzi,SN Ia,0.057785
-ZTF21acoqncy,SN Ia,0.0735
-ZTF21ackdwjm,SN Ia,0.075
-ZTF21acmfxkc,SN IIn,0.039
-ZTF21acjvgxg,SN Ia,0.087
-ZTF21ackonrq,SN Ia,0.084
-ZTF21ackqbow,SN Ia,0.037396
-ZTF20ackzfvn,SN II,0.017
-ZTF21ackmfgz,SN Ia,0.073
-ZTF21ackeofr,SN Ia,0.065
-ZTF21acjtxgr,SN Ia-91T-like,0.044
-ZTF21ackhddc,SN Ia,0.0641
-ZTF21acjefpt,SN Ia,0.103
-ZTF21acjxsrf,SN Ia,0.089
-ZTF21acizrpw,SN Ia,0.029
-ZTF21achducl,SN IIn,0.069
-ZTF21acionva,SN Ia,0.071
-ZTF21acitbcw,SN I,0.022462
-ZTF21acirtph,SN Ia,0.101
-ZTF21acjgafq,SN Ia,0.049658
-ZTF21acimecy,SN Ia,0.1
-ZTF21aciuvmg,SN Ia,0.076
-ZTF21acizsaz,SN Ia,0.085
-ZTF21aciuhqw,SN Ic-BL,0.045
-ZTF21acisqde,SN Ia,0.084
-ZTF21acimjvp,SN Ia,0.047
-ZTF21acilvjb,SN Ia,0.07597
-ZTF21acinvvh,SN Ia,0.0675
-ZTF21achyvno,SN Ia,0.066
-ZTF18aawitry,SN Ia,0.089
-ZTF21achgfbk,SN Ib,0.036
-ZTF21achxlkq,SN Ia,0.014
-ZTF21achlshg,SN II,0.03
-ZTF21achhwdz,SN Ia,0.041
-ZTF21achfddh,SN IIn,0.07
-ZTF21achdxdn,SN Ia-91T-like,0.071
-ZTF21acgyciq,SN Ia-91T-like,0.09
-ZTF21acfigoo,SN Ia,0.062
-ZTF20aaprrgg,SN Ia,0.087
-ZTF21acgrrnl,SN II,0.0183
-ZTF21acguaen,SN II,0.023
-ZTF21acfgjiw,SN Ia,0.037
-ZTF21acfslmr,SN Ia,0.069906
-ZTF21acermmd,SN Ia,0.026
-ZTF21acfcthx,SN Ia,0.091
-ZTF21acekmmm,SN Ic-BL,0.07
-ZTF21aceqmyz,SN II,0.04
-ZTF21aceaiqm,SN Ia,0.097
-ZTF21acdxhuv,SN Ib,0.015
-ZTF21acdqdge,SN IIn,0.044
-ZTF21acctrsp,SN Ia,0.09
-ZTF21acdbcxy,SN II,0.059
-ZTF21accwovq,SLSN-I,0.117
-ZTF21accteto,SN Ia,0.093166
-ZTF21acciklh,SN Ia,0.04
-ZTF21acclizu,SN Ia,0.045
-ZTF21accgsbf,SN IIn,0.093
-ZTF21acafsjy,SN Ia,0.097
-ZTF21acbntop,SN Ia,0.06744
-ZTF21acbgcma,SN Ia,0.05239
-ZTF21acaszik,SN Ia,0.068
-ZTF21abzbuvf,SN Ia,0.1
-ZTF21abzithf,SN Ia,0.096
-ZTF21abzadod,SN Ia,0.068
-ZTF21abzbwfo,SN II,0.22
-ZTF21abxjcdc,SN Ia,0.087
-ZTF21abwujwt,SLSN-I,0.13
-ZTF21abyfxqr,SN Ia,0.058
-ZTF21abwxhje,SN Ia,0.08
-ZTF21abvttgb,SN Ia,0.11
-ZTF21abuwmgy,SN Ia,0.13
-ZTF21abwurky,SN Ia,0.052334
-ZTF21abxnghi,SN Ia,0.046
-ZTF21abwdzio,SN Ia,0.063
-ZTF21abtgbwr,SN Ia,0.083
-ZTF21abvhxyk,SN Ia,0.068
-ZTF21abvrpgs,SN Ia,0.08
-ZTF21abvtuir,SN Ia,0.057216
-ZTF21abvtynt,SN II,0.0633
-ZTF21abvuttc,SN Ia,0.067
-ZTF21abvcarc,SN Ia,0.022609
-ZTF21abufayv,SN Ia,0.085
-ZTF21abuvqoi,SN Ia,0.11
-ZTF21abulpnc,SN IIn,0.057
-ZTF21abuguyw,SN II,0.0718
-ZTF21abuetwv,SN Ia,0.096
-ZTF21abtxglm,SN Ia,0.0545
-ZTF21abrpkzp,SN Ia,0.085
-ZTF21abrxwvv,SN Ia,0.093
-ZTF21abrylwg,SN Ia,0.099
-ZTF21abrzsol,SN Ia,0.033
-ZTF21abqixak,SN Ia,0.098
-ZTF21abrgdug,SN Ia,0.093
-ZTF21abrpoaq,SN Ia,0.103
-ZTF21abrofrx,SN Ia,0.09
-ZTF21abqftqr,SN Ia,0.02824
-ZTF21abpwtde,SN Ib/c,0.04
-ZTF21abpapvy,SN Ia,0.088
-ZTF21abouxex,SN II,0.031
-ZTF21abmwghp,SN Ia,0.072
-ZTF21abmwmnp,SN Ia,0.096
-ZTF21abmjgwf,SN Ic-BL,0.07
-ZTF21abjhiqp,SN IIn,0.069
-ZTF21abkiefj,SN Ia-91T-like,0.08
-ZTF21abjrptn,SN Ia,0.05
-ZTF21abhtkiy,SN Ia,0.076
-ZTF21abtcgoh,SN II,0.002
-ZTF21abgzlyi,SN Ia,0.059
-ZTF21abflhkz,SN II,0.032
-ZTF21abflmkk,SN Ia,0.057
-ZTF21abezlqc,SN Ia,0.041
-ZTF21abcixor,SN II,0.033
-ZTF20acxmxtu,SN IIn,0.121
-ZTF21aciobmz,SN IIP,0.02
-ZTF21achltea,SN II,0.04
-ZTF21acdmwae,SN Ia-SC,0.0266
-ZTF21acafwof,SN Ia,0.0425489992
-ZTF21acaspdb,SN Ia,0.060653
-ZTF21abzgzvs,SN Ia,0.051
-ZTF21abwrujq,CV,-1.0
-ZTF21abvyxfs,SN Ia,0.099
-ZTF21abpmlxu,SN IIn,0.054
-ZTF18acbygcu,SN Ia,0.036
-ZTF21abiacoi,SN Ia,0.061
-ZTF21abamotd,SN Ia,0.071
-ZTF21aciluqg,SN II,0.0148
-ZTF21acincqb,SN Ia-91bg-like,0.018086
-ZTF21acgqhru,SN II,0.015245
-ZTF21acgpjbx,SN II,0.028
-ZTF21acdvban,SN Ia,0.102
-ZTF21acdvkcj,SN Ia,0.0198
-ZTF21acdcxaf,SN II,0.031
-ZTF21acbxtir,SN Ia,0.028
-ZTF21acaranm,Other,0.15
-ZTF21acbfuwk,Other,0.102
-ZTF21abxpinb,SN Ia,0.095
-ZTF21abyqrli,SN IIb,0.02925
-ZTF21abxaazp,SN Ia,0.1
-ZTF21abvtfxn,SN Ia,0.067
-ZTF21abvicne,SN Ia,0.0426
-ZTF21abvdyoj,SN Ia,0.112
-ZTF21abulrnw,SN Ia,0.023
-ZTF21abraccv,SN Ic,0.019046
-ZTF21abplhpw,SN Ib,0.035
-ZTF21abouuat,SN II,0.01718
-ZTF21ablrhtk,SN Ia,0.058086
-ZTF21abjvwcd,SN Ia,0.09
-ZTF21abiuvdk,SN Ia,0.003506
-ZTF21aclcfej,SN II,0.029635
-ZTF21aceqrju,SN II,0.156
-ZTF21abybgjx,SN Ia,0.044678
-ZTF21abiblpl,SN II,0.027365
-ZTF21ackwgzm,SN Ia,0.110755
-ZTF21acjvcre,SN Ia-pec,0.09
-ZTF21acjrfhr,SN Ia,0.084
-ZTF21aciwkzc,SN Ia,0.0601
-ZTF21acidhhs,SN Ia,0.076916
-ZTF21acipbwd,SN Ia,0.094
-ZTF21achzpyc,SN Ia,0.075
-ZTF21abtsoky,SN Ia,0.085
-ZTF21acdalyp,SN Ia-91T-like,0.0374369994
-ZTF21acbnfos,SN Ic-BL,0.02825
-ZTF21abylukk,SN Ia,0.082
-ZTF21abxdact,SN Ia,0.04
-ZTF21abukrln,SN Ia,0.08
-ZTF21abqmrun,SN II,0.036
-ZTF21abpmirq,SN Ia,0.14
-ZTF19acykjad,SN Ia,0.08
-ZTF21aclmgzk,SN IIP,0.017522
-ZTF21acpkzcc,SN IIn-pec,0.007
-ZTF21abtephz,SN II,0.0228049997
-ZTF21aceehxt,SN Ib,0.013096
-ZTF21abwzpgf,SN Ia,0.0375690013
-ZTF21abvcxid,SN II,0.0315
-ZTF21aclhsxb,SN Ia,0.033
-ZTF21acjgqjl,SN Ia,0.049511
-ZTF21acdontl,SN II,0.01023
-ZTF21abrluay,SN II,0.025
-ZTF21abqmrtm,SN II,0.03347
-ZTF21abubpng,SN II,0.025364
-ZTF21acjoskd,SN II,0.002843
-ZTF21acdtosh,SN Ia,0.08137
-ZTF21aaqgmjt,SN II,0.0034
-ZTF21acqstfo,SN Ia,0.012238
-ZTF21acjxzsa,SN Ic,0.041
-ZTF21acoqfar,SN Ia,0.075
-ZTF20aanxcpf,AGN,0.083
-ZTF21aclzodp,SN Ia,0.056
-ZTF21acdsnsh,SN Ia,0.022
-ZTF21aclzvgz,SN II,-1.0
-ZTF21acgunkr,SN II,0.026
-ZTF21achutuk,SN Ia,0.063
-ZTF21abxowzx,AGN,0.419
-ZTF21acipdhn,SN Ia,0.079
-ZTF21aagolae,SN Ia,0.072074
-ZTF21acoshvy,SN Ia,0.02
-ZTF21acmresp,SN Ia,0.07
-ZTF21acljfzt,SN Ia,0.07
-ZTF21acjbedo,SN Ia,0.067
-ZTF21abiwpjm,SN IIn,0.103
-ZTF21acoqbfm,SN Ia,0.045
-ZTF21acjvjyk,SN Ia,0.026775
-ZTF21ackcxql,SN Ia,0.094
-ZTF21acontmk,SN Ia,0.107
-ZTF18adbbhww,SN Ia,0.084
-ZTF21acjnajt,SN Ia,0.094
-ZTF19acetzrc,SN Ia,0.015908
-ZTF21acfabut,SN Ia,0.07318
-ZTF21acjoorl,SN Ic,0.00972
-ZTF21acheiti,SN IIP,0.03
-ZTF19acbzdvp,SN Ia,0.103
-ZTF21acjosti,SN Ia,0.088
-ZTF21acjurqj,SN Ia,0.089
-ZTF21ackcrao,SN Ia,0.059
-ZTF21acipofv,SN Ia,0.058143
-ZTF21acjnzdh,SN Ia,0.095
-ZTF21acmwjza,SN Ia,0.042
-ZTF21ackzyzj,SN Ia,0.066
-ZTF21acjjxww,SN Ia,0.08217
-ZTF21acefkpy,SN Ia,0.055327
-ZTF18abxoqkd,SN Ia,0.052
-ZTF19abxmvcq,SN Ia,0.1
-ZTF21abieuta,SN Ib,0.024
-ZTF21acchbmn,SN II,0.0315
-ZTF21abegynu,SN Ia-91T-like,0.082
-ZTF21acjosix,SN Ia,0.102
-ZTF21acjnojg,SN Ic,0.04
-ZTF21acindcq,SN Ia,0.031
-ZTF21achauvx,SN Ia,0.041
-ZTF21achzfpg,SN Ia,0.056
-ZTF21achqiue,SN Ia,0.028
-ZTF21achqzub,SN Ia,0.04
-ZTF21acgnagk,SN Ia,0.077
-ZTF21acgumps,SN Ia,0.040899
-ZTF21acjndeu,Galaxy,0.05
-ZTF21acinyte,SN Ia,0.033745139837265
-ZTF21acigjrl,SN Ia,0.07817
-ZTF21acgrlmz,SN II,0.015
-ZTF21acgupte,SN Ia,0.077
-ZTF21acefcnp,SN Ia,0.085
-ZTF21acenkuf,SN Ia,0.012319
-ZTF21ackbbfs,SN Ia,0.045
-ZTF21acjmvhx,SN Ic-BL,0.042
-ZTF21abqxmpa,SN II,0.02
-ZTF21acipmgw,SN Ia,0.067155
-ZTF21acioxcf,SN II,0.027229231425611
-ZTF21achdvyu,SLSN-II,0.1953
-ZTF21abwtybk,SN Ia,0.06
-ZTF21acjotip,SN Ia,0.079174
-ZTF21acjomly,SN Ia,0.043
-ZTF21acisemu,SN Ia,0.044
-ZTF21ackmlae,SN Ia,0.078
-ZTF21ackbkoy,SN Ia,0.031
-ZTF21acjotbf,SN Ia,0.07391
-ZTF21acgxypn,SN Ic-BL,0.023563
-ZTF21acgxzha,SN Ia,0.065
-ZTF21acdwvwo,SN Ia,0.028
-ZTF21abtavkd,SN Ia,0.12
-ZTF19aawlgne,SN II,0.030741
-ZTF21acjjtmh,CV,-1.0
-ZTF21acioiha,SN Ia,0.098
-ZTF21achkgap,SN Ia,0.05
-ZTF21acgxwlz,SN Ia,0.07
-ZTF21achujxq,SN Ibn,0.023486
-ZTF21acgtygt,SN I,0.07598
-ZTF21abpyauz,SN II,0.061
-ZTF21aciuhyy,SN Ia,0.097
-ZTF21acjalue,SN Ia,0.06892
-ZTF21aciqppd,SN Ia,0.04106478941915
-ZTF21achpuoa,SN II,0.018
-ZTF21acfaugw,SN Ia,0.04233
-ZTF21acdkydg,SN Ia,0.06
-ZTF21abxtfwo,SN IIn,0.027
-ZTF21ablvzhp,SN II,0.02388
-ZTF21acjosnd,SN Ia,0.066197
-ZTF21achiyue,SN Ia,0.09
-ZTF21acgylas,SN Ia,0.078
-ZTF21achaudk,SN Ia,0.0455
-ZTF21acgyywa,SN II,0.055
-ZTF21acgyzel,SN Ia,0.049
-ZTF21accuexh,SN Ia,0.072
-ZTF21acjbgok,CV,0.0
-ZTF21acinvoq,CV,-1.0
-ZTF21achptrd,SN Ia,0.058
-ZTF19aceegay,CV,0.0
-ZTF18abquxjv,SN Ia,0.074
-ZTF21achutpj,SN Ia,0.058
-ZTF21achjcui,SN Ia,0.054
-ZTF21acfccil,SN Ia-91T-like,0.045
-ZTF21achxzrj,SN Ia,0.1
-ZTF21achplgf,SN Ia,0.048
-ZTF21achlxxo,SN Ia,0.08145
-ZTF21abrqria,SLSN-I,0.2
-ZTF21abpxsck,SN II,0.047
-ZTF21abhibro,SN IIn,0.057
-ZTF21acempzi,SN Ia,0.037
-ZTF21achjwus,SN Ia,0.05212
-ZTF21achqhuz,SN Ia,0.057913
-ZTF21acdezwk,SN II,0.032
-ZTF21aazgkjf,SN IIn,0.142
-ZTF21acbphas,SN Ia,0.028
-ZTF21acfajbc,SN II,0.025
-ZTF21acefbte,SN Ia,0.041
-ZTF21acafvhf,TDE,0.053
-ZTF21acfcgnk,SN Ia,0.075
-ZTF21acfgfuy,SN Ia,0.069
-ZTF21aceqgbv,SN Ia,0.081
-ZTF21abxnulm,SN Ia,0.075
-ZTF19abstsvm,SN IIn,0.039
-ZTF21acgzwsc,SN Ia,0.066
-ZTF21achaubw,SN Ia,0.064
-ZTF21acfqldh,SN Ia-91T-like,0.092
-ZTF21achaxze,SN Ia-91T-like,0.092
-ZTF21aceynlp,SN Ia,0.018913
-ZTF21abvcxel,SN II,0.0099
-ZTF21acgzgvm,SN Ia,0.064
-ZTF21acgrero,CV,-1.0
-ZTF21achcwnd,SN Ia-91T-like,0.12
-ZTF19abkftvd,SN Ia,0.067
-ZTF20acmgsfo,SLSN-II,0.27
-ZTF21acgudgo,SN Ia,0.06
-ZTF21abourqt,SN Ia-91bg-like,0.0304
-ZTF21acfflog,SN Ia,0.032246
-ZTF21acehvay,SN Ia,0.055291
-ZTF21abwgpgt,SN Ia,0.04
-ZTF21abqtckk,Varstar,-1.0
-ZTF21acdwhtf,SN Ia,0.065
-ZTF21aceqhth,SN Ia,0.089
-ZTF21aceepnp,SN Ia,0.016545
-ZTF21abvqrln,SN Ia,0.068722
-ZTF21abwcned,SN Ia,0.053
-ZTF21abptxfk,SN II,0.032
-ZTF21aceujob,SN Ia,0.088
-ZTF21aboukxu,SN II,0.175
-ZTF21acdykpb,SN Ia,0.088
-ZTF21accwcrh,SN II,0.031599
-ZTF21acbpdlz,SN Ia,0.047563
-ZTF21abyjydm,SN Ia,0.124
-ZTF21accyxid,SN IIP,0.02
-ZTF21abzciqh,SN II,0.076
-ZTF21acdkxcr,SN Ia,0.112
-ZTF21acasloo,SN Ia,0.065
-ZTF21abwzpme,SLSN-I,0.3
-ZTF21acasrer,SN Ia,0.064
-ZTF21acaqdnb,SN Ia,0.051
-ZTF21abxmxut,SN II,0.02
-ZTF21acdnnfg,SN Ia,0.068
-ZTF21acdphro,SN Ia,0.053
-ZTF21acdajtx,SN Ia,0.0259
-ZTF21acdjasw,SN Ia,0.063
-ZTF21acceboj,SN IIP,0.011625
-ZTF21abviabc,SN II,0.053467
-ZTF21acbfpwj,CV,-1.0
-ZTF21acbjxhr,SN Ia,0.085
-ZTF20achxjie,AGN,0.356
-ZTF21acdenty,SN Ia,0.056
-ZTF21acdoyqt,SN II,0.013309
-ZTF21abqvyyz,SN Ia,0.102
-ZTF21abqhkjd,TDE,0.106
-ZTF21abqikvn,SN Ia,0.02836
-ZTF21acapxdf,SN Ia,0.074
-ZTF21abxfyaw,SN Ia,0.03
-ZTF21abvddpq,SN Ia,0.093
-ZTF21acdcxfz,SN Ia,0.032
-ZTF18acdwuhy,SN Ia,0.08
-ZTF21abtxxjk,SN Ia,0.055
-ZTF21acdoydr,SN Ia,0.061091
-ZTF18aafpfwr,SN Ia,0.078
-ZTF21abzxxic,SN Ia,0.049204
-ZTF21abyahbi,SN II,0.076684
-ZTF21abxlpkc,SN Ia,0.0661
-ZTF21abxdibe,SN Ia,0.094
-ZTF21abvrrmy,SN Ia,0.064
-ZTF21abuuzrk,SN Ia,0.0523
-ZTF21abtwvyl,SN Ia-pec,0.03
-ZTF21acchwaw,SN Ia,0.089
-ZTF21acafsqe,SN Ia,0.079
-ZTF21acbvwej,SN Ia,0.086621
-ZTF21acafqtj,SN II,0.014904
-ZTF21abyonuw,SN Ia,0.128
-ZTF21acaeoms,SN Ia,0.039
-ZTF21acbmxgn,SN Ia,0.029
-ZTF21abvrfsr,SN Ia,0.041
-ZTF21abwqrra,CV,-1.0
-ZTF21accyvil,SN Ia,0.0715
-ZTF21acbuwgu,SN Ia,0.0533
-ZTF21abvwuxm,SN Ia,0.048
-ZTF21abgjldn,SN IIn,0.041
-ZTF18acvbiff,SN Ia,0.033226
-ZTF21acbpbia,SN Ia,0.076
-ZTF21acbcjwa,SN Ia,0.061
-ZTF21abzkgvc,SN Ia,0.098
-ZTF21absyjff,SLSN-I,0.32
-ZTF18abxhaop,SN Ia,0.059805
-ZTF21accibae,SN Ia,0.066
-ZTF21abyvjeq,SN Ia,0.1
-ZTF21abvgouw,SN Ia,0.11
-ZTF21abklcjq,SN Ic,0.02508
-ZTF21abzcplo,SN Ia,0.059374
-ZTF21abvcugy,SN Ib/c,0.028
-ZTF21abyvglm,SN Ia,0.090572
-ZTF21abzxkyv,SN Ia,0.085717
-ZTF21abvxguf,SN Ia,0.076
-ZTF21abuxuxj,SN Ia,0.02
-ZTF21abywdxt,SN Ia,0.07
-ZTF21acbcfmh,Nova,-1.0
-ZTF21abychwq,SN Ia,0.05558
-ZTF21acbutpl,Nova,-1.0
-ZTF21abzywja,SN Ia,0.084
-ZTF21abxzzys,SN Ia,0.098876
-ZTF21abzcpiw,SN Ia,0.078
-ZTF21abrmefg,SN Ia,0.083
-ZTF19aayiili,AGN,0.217
-ZTF21acahxze,CV,-1.0
-ZTF21acahuzg,CV,-1.0
-ZTF21acajcyb,SN Ia,0.08
-ZTF21acaegsr,SN Ia,0.03438
-ZTF21abwycli,SN II,0.035
-ZTF21abuxitb,SN II,0.084
-ZTF21abvvivq,SN Ia,0.079
-ZTF21abulrsl,SN Ia-91bg-like,0.0478
-ZTF21abtuutw,SN Ia,0.079
-ZTF21abuffew,SN Ia,0.07
-ZTF21absmzcw,SN II,0.081
-ZTF21abrfvax,SN Ic,0.0518
-ZTF21acasoti,CV,-1.0
-ZTF21abybnni,SN Ia,0.074819
-ZTF21abyakea,SN Ia,0.047393
-ZTF21abxniow,SN Ia,0.080257
-ZTF21abvuclg,SN Ia,0.09
-ZTF21abtdvpg,SN IIn,0.1265
-ZTF21abytufi,CV,-1.0
-ZTF21abyazip,SN Ia,0.059
-ZTF21abwxext,SN Ia,0.079
-ZTF21abwqopp,SN Ia,0.082
-ZTF21abvrlup,SN Ia,0.095
-ZTF21abmlldj,SN Ib-pec,0.0944
-ZTF21abvdazf,SN Ia,0.08
-ZTF21abvajfq,SN Ia,0.08
-ZTF21abngbrl,SN Ib,0.03
-ZTF21abxknvv,SN Ia,0.088
-ZTF21abwprfg,SN Ia,0.083
-ZTF21abwukki,SN Ia,0.094
-ZTF21abulsgn,SN Ia,0.06
-ZTF18abffdpa,SN Ia,0.099
-ZTF21abxdcmp,SN Ia,0.067
-ZTF21abwprfj,SN Ia,0.067
-ZTF21abultbr,SN II,0.0197470002
-ZTF21absvmds,SN Ia,0.1
-ZTF21abiewrh,SN Ia,0.08
-ZTF21abmdgyx,SN Ia,0.019
-ZTF21abyaksg,CV,-1.0
-ZTF21abwtnzp,SN Ia,0.064
-ZTF21abwxaht,SN Ia,0.058
-ZTF21abwunpp,SN Ia,0.084
-ZTF21abvajfr,SN Ia,0.066
-ZTF21abuvury,SN Ibn,0.085
-ZTF21abvbhul,SN Ia,0.063
-ZTF21abtffrn,SN Ia-pec,0.158
-ZTF21abtdlno,SN Ia,0.016
-ZTF21aagtqkc,AGN,0.096
-ZTF21abwcnpe,SN Ia,0.108
-ZTF21abwqrwo,SN Ia,0.09
-ZTF21abwfnru,SN Ia,0.055
-ZTF21abvtikp,SN Ia,0.093
-ZTF21abvbihc,SN Ia,0.050185
-ZTF21abvuwbp,SN IIn,0.06
-ZTF21abvvuhm,SN Ia,0.085
-ZTF21abvfacx,SN Ia,0.04
-ZTF21abuyyxi,SN Ia,0.05
-ZTF21abujgmr,SN IIn,0.048
-ZTF21abubxmc,SN Ia,0.08
-ZTF21abtzlnh,SN II,0.02712
-ZTF21abrmevu,SN Ia,0.074
-ZTF21abqfpsc,SN Ia-91T-like,0.076
-ZTF21abqgbau,SN Ia,0.0485
-ZTF21abhyqlv,SN II,0.049341
-ZTF21abvbdyr,SN II,0.02
-ZTF21abtxqza,SN Ia,0.046084
-ZTF21abrzdqx,SN Ia,0.066
-ZTF21abpivbd,SN Ia,0.064
-ZTF21abuyhau,SN Ia,0.066
-ZTF21acdkbai,SN Ia,0.06
-ZTF21absbujl,SN Ia,0.072
-ZTF21abrssvd,SN Ia,0.091
-ZTF21abrghol,SN Ia,0.0378
-ZTF21abrgbex,SN II,0.0323409997
-ZTF21abfoyac,SN II,0.033
-ZTF21abukwfl,SN Ia,0.081222
-ZTF21abvdikq,SN II,0.019
-ZTF21abujefa,SN Ia-91T-like,0.088
-ZTF21abujdzr,SN Ia,0.12
-ZTF21abvctva,SN Ia,0.069
-ZTF21abtmczy,SN Ia,0.1
-ZTF21abutpwh,SN Ia-91T-like,0.06
-ZTF21abujejr,SN Ia,0.065
-ZTF21abtbygc,SN Ia,0.063
-ZTF21abrxdrk,SN Ia,0.1
-ZTF21abqsysj,SN Ia-91T-like,0.04
-ZTF21absbwyz,SN Ia,0.09
-ZTF21abqjjrb,SN,0.078
-ZTF21abujmgh,CV,-1.0
-ZTF21abtaxou,SN Ia,0.069477
-ZTF21absbrag,SN Ia,0.079
-ZTF21abrhggj,SN Ia,0.08
-ZTF21abtfogg,SN Ia,0.09
-ZTF21abuibjs,SN Ia,0.013
-ZTF21abnuldi,SN IIb,0.035
-ZTF21aatlewl,AGN,0.20898
-ZTF18abgzkmf,SN II,0.013519
-ZTF21abuuuuj,SN Ia,0.104175
-ZTF21abrpdsp,SN Ia,0.037404
-ZTF21abskgap,SN Ia,0.06
-ZTF21abshszs,SN Ia,0.078
-ZTF21abrskvb,SN Ia,0.083
-ZTF21abmemav,CV,0.0
-ZTF21abqueax,SN Ia,0.11
-ZTF21abqvzjy,SN II,0.047
-ZTF21abnvlnj,SN II,0.02724
-ZTF21abtxnir,SN Ia,0.043
-ZTF21abpkpuy,SN IIn,0.06
-ZTF21abicfyx,SN IIP,0.049
-ZTF21abezyhr,SLSN-I,0.19
-ZTF21abgkfzh,SN IIn,0.086
-ZTF21abeafwt,SN Ic-BL,0.4
-ZTF21abouznj,SN II,0.053
-ZTF21abioeyq,SN II,0.022596
-ZTF21abtcftb,SN Ia,0.001769
-ZTF18abrebsb,SN Ia,0.05
-ZTF21abrotmc,SN Ia,0.097
-ZTF21abljmmv,SN Ia,0.05
-ZTF21aaxwcof,SN II,0.019
-ZTF18aakpigz,SN Ia,0.066
-ZTF21abrxgiv,SN Ia,0.061
-ZTF21abqvykn,SN Ia-91bg-like,0.055
-ZTF21abplnaw,SN Ia,0.123
-ZTF18acxgwpj,CV,-1.0
-ZTF21abrlslx,SN Ia,0.076079
-ZTF21abrthyb,CV,-1.0
-ZTF21absjlur,SN Ia-91T-like,0.05
-ZTF21abrxoir,SN Ia,0.026657
-ZTF21abotose,SN IIb,0.0412
-ZTF21ablwcjh,SN Ia,0.1
-ZTF21ablvtrn,SN Ia,0.09
-ZTF21ablxfwc,SN Ia,0.0212680008
-ZTF21ablwdur,SN Ia,0.047
-ZTF21abtcgdo,SN II,0.03
-ZTF21abdxhgv,SN Ib/c,0.07
-ZTF21abhwnvw,SN Ia,0.062043
-ZTF21abrnmtl,CV,-1.0
-ZTF21abtxxdq,SN II,0.013122
-ZTF21abowsub,SN Ia,0.075855
-ZTF21abmxiuf,SN Ib,0.029
-ZTF21abmdhes,SN Ia,0.04
-ZTF21abhyukx,SN Ia,0.0886
-ZTF21abqzays,SN Ia,0.052
-ZTF21abprzfg,SN Ia,0.06
-ZTF21abdmevk,SN II,0.02833
-ZTF21absvlrr,SN Ia,0.0208
-ZTF21abqpwpu,SN Ia,0.108
-ZTF21abothvq,SN Ia,0.0576
-ZTF21abovcii,SN Ia,0.106
-ZTF21abscohx,SN Ia,0.041
-ZTF21abrapmf,SN Ia,0.07
-ZTF21abpxquj,SN IIn,0.012886
-ZTF21abpryuv,SN Ia,0.12
-ZTF21abjvukz,SN IIn,0.103
-ZTF21abrthxx,AGN,0.056
-ZTF21abqfttg,SN Ia,0.07
-ZTF21abousyu,SN Ia,0.088
-ZTF21abousji,SN Ia,0.1141
-ZTF21abmspzt,SN Ia,0.09338
-ZTF21abfkqnc,SN II,0.048254
-ZTF21abpvrhn,SN Ia,0.045
-ZTF21abpvssa,SN Ia-pec,0.0495
-ZTF18aazijke,SN Ia,0.048
-ZTF21ablkaqq,SN Ia,0.12
-ZTF21ablducj,SN Ia,0.052
-ZTF21abkqvdo,AGN,0.055
-ZTF21abicgai,SN Ia,0.057
-ZTF21abiytsg,CV,-1.0
-ZTF21abihsrg,SN Ia,0.109
-ZTF21abfoxwp,SN Ia,0.068
-ZTF21abccaue,SN Ib,0.03975
-ZTF21abpjpxr,SN Ia,0.09
-ZTF21abouuow,SN Ia,0.039
-ZTF21aboyiaf,CV,-1.0
-ZTF21abmsppx,SN Ia,0.063092
-ZTF21ablwfcp,SN Ia,0.035
-ZTF21abovblm,SN Ia,0.068
-ZTF21abmzpmc,SN Ia,0.104
-ZTF21abkoccb,SN II,0.06
-ZTF21abjrysr,TDE,0.059
-ZTF21abixcpt,SN II,0.062
-ZTF19aarepdu,AGN,-1.0
-ZTF21abqymzg,SN Ia,0.044
-ZTF21abowrey,SN Ia,0.028
-ZTF21abpjmwx,CV,-1.0
-ZTF21abowpnd,SN Ia,0.061306
-ZTF21abowqqa,SN Ia,0.09
-ZTF21abmqpja,SN Ia,0.1
-ZTF21abqqcxf,SN Ia,0.082
-ZTF21abmgxyu,SN Ia,0.085
-ZTF21abjvwdj,SN II,0.04
-ZTF21abplypq,SN II,0.034
-ZTF21abotuqo,SN Ia,0.074
-ZTF21abnspht,SN Ia,0.074937
-ZTF21abmwgdf,SN Ia,0.074
-ZTF21abmcori,SN Ia,0.08
-ZTF18abfeyey,SN Ia,0.089
-ZTF21abjeyoh,SN Ia,0.06
-ZTF21abidrcn,SN IIb,0.058
-ZTF21abfxhrn,SN II,0.041
-ZTF21abdosld,SN Ia,0.076
-ZTF21abaxaqq,TDE,0.073
-ZTF21aapvmcu,SN IIn,0.084
-ZTF21abpaodi,SN Ia,0.046247
-ZTF21abplgag,SN Ia,0.07521
-ZTF21abnlhxs,SN II,0.013
-ZTF21abnudtb,SN II,0.0264
-ZTF21abqqbfz,SN Ia,0.065
-ZTF21abnfgff,SN Ia,0.06
-ZTF21abmwzxt,SN II,0.04
-ZTF21abkkuja,SN Ia,0.054164
-ZTF21abjbrrj,SN Ia,0.032728
-ZTF21abhshmt,SN Ia-91T-like,0.055
-ZTF21abhhbmd,SN Ia,0.042
-ZTF21abhqhqb,SN II,0.051738
-ZTF21abccdld,SN IIn,0.03501
-ZTF21abpamxn,SN Ia,0.063
-ZTF21abnvsic,SN Ia,0.072
-ZTF21abienbe,SN Ia-91T-like,0.029
-ZTF21abouexm,SN Ia,0.059
-ZTF21abjciip,SN Ia,0.069
-ZTF21abimnii,SN Ib,0.017
-ZTF21ablgmxs,SN Ia,0.1
-ZTF18aauvmnq,SN Ia,0.0621
-ZTF21abmdnft,SN Ia,0.065
-ZTF21abibhpm,SN Ia-pec,0.0842
-ZTF21abiricn,SN Ib,0.09
-ZTF21abmwwsq,SN Ia,0.037
-ZTF21abjbukd,SN II,0.0511
-ZTF21abhuqpe,SN Ia,0.034551
-ZTF18abnuhuy,AGN,0.081
-ZTF21abkrteb,SN Ia,0.07295
-ZTF21abkquhv,SN Ib/c,0.02
-ZTF21abebgfr,SN IIn,0.08545
-ZTF21abkzgae,SN Ia,0.070063
-ZTF21abjtqyq,SN Ia,0.097
-ZTF21abghxht,SN II-pec,0.046
-ZTF21aanrhag,SN IIb,0.039724
-ZTF20acvfraq,AGN,0.26
-ZTF20acrrssy,SN II,0.0296950005
-ZTF21abmjivk,SN Ia,0.02566
-ZTF21abjwvzu,SN Ia,0.00424299994
-ZTF21abfxfqu,SN Ia,0.068607
-ZTF21abkaoxe,SN Ia,0.0543
-ZTF21abilrxd,SN Ia,0.017
-ZTF21abgcgem,SN Ia,0.061
-ZTF21abfjlxb,SN IIb,0.03984
-ZTF20abarsvz,SN Ia,0.039
-ZTF21abjciua,Other,0.06
-ZTF21abidikc,SN Ia,0.03921
-ZTF21abhqqfa,SN IIn,0.029
-ZTF21abfmbix,SN Ia,0.009316
-ZTF21abbwajr,SN II,0.0233
-ZTF21abkggoa,SN II,0.022
-ZTF21abhhrpj,SN II,0.029169499874115
-ZTF21abghumo,SN IIn,0.055
-ZTF21abcmtev,SN II,0.02884
-ZTF21abbyhvw,SN Iax[02cx-like],0.026822
-ZTF18aakycpv,SN IIn,0.046
-ZTF18aamfsxv,QSO,0.55
-ZTF21abkqkon,SN Ia,0.0885
-ZTF20abcjdwu,SN Ic-BL,0.03803
-ZTF21abezono,SN II,0.034
-ZTF21aavdqgf,SLSN-I,0.159
-ZTF18abmwqkr,AGN,0.092
-ZTF21ablazyz,CV,-1.0
-ZTF21ablqsnv,SN Ia,0.04929
-ZTF21abiyyob,SN Ia,0.045
-ZTF18abavruc,SN Ia,0.028
-ZTF21abmksld,SN Ia,0.07
-ZTF21ablwehd,SN II,0.017
-ZTF21abkkwie,SN Ia,0.05728
-ZTF21abklnfg,SN Ia,0.08
-ZTF21abjcjmc,SN II,0.02974
-ZTF21abjamta,SN II,0.0268719997
-ZTF21abicabp,SN Ia,0.079
-ZTF21abkavmp,SN Ia,0.0366729982
-ZTF21abjxbxn,SN Ia,0.085
-ZTF21abjdiok,SN Ia,0.074
-ZTF21abimejj,SN Ia,0.085
-ZTF21abiacmi,SN Ia,0.038
-ZTF21abfxlvo,SN Ia,0.07
-ZTF21abfaohe,SN Ia,0.008733
-ZTF21abcdtoi,SN Ia,0.062
-ZTF21abjyiiw,SN IIb,0.00475
-ZTF21abjpphz,SN Ia,0.088
-ZTF21abhrmrv,SN Ia,0.04
-ZTF21abkintm,SN Ia,0.074
-ZTF21abjrwhq,SN Ia,0.05747
-ZTF21abjhxqg,SN Ia,0.1
-ZTF21abjaksr,SN Ia,0.104
-ZTF21abkdpnw,SN Ia,0.012
-ZTF21abjvtxq,SN Ia,0.07
-ZTF21abgdgoo,SN Ia,0.121
-ZTF21abhrepm,SN Ia,0.03
-ZTF21abhkeak,SN Ia,0.065
-ZTF21abaadkb,SN IIn,0.127
-ZTF21abisowq,SN Ia,0.062
-ZTF21abjdqbo,SN Ia,0.075
-ZTF21abizxkw,SN Ia,0.091
-ZTF21abhzicj,SN Ia,0.03946
-ZTF21abhuoyz,SN Ia,0.0875
-ZTF21abixkyz,CV,-1.0
-ZTF21abizpri,SN Ia,0.058
-ZTF21abifxhe,SN Ia,0.075
-ZTF21abiawpf,SN Ia,0.073
-ZTF21abcmepi,SN Ia,0.089
-ZTF21abhymom,SN Ia,0.08
-ZTF21abjbnhh,SN Ia,0.021612
-ZTF21abhtafw,SN Ia,0.023486
-ZTF21abdvcaf,SN Ia,0.036
-ZTF21abavqaz,SN IIP,0.189
-ZTF21abifrsi,SN Ia,0.064
-ZTF21abdkojo,SN Ib,0.02698
-ZTF21abdfdwi,SN Ia,0.08612
-ZTF21abizmnw,SN Ia,0.054
-ZTF21abidxwo,SN II,0.03706
-ZTF21abbuxfm,SN Ia,0.087
-ZTF21abistmz,SN Ia,0.044
-ZTF21abhtlrj,SN Ia,0.111
-ZTF21abhvquj,SN Ia,0.088
-ZTF21abdbymn,SN Ia,0.123
-ZTF21abgywux,SN II,0.036
-ZTF21abidtrd,SN Ia,0.048
-ZTF18aaqydat,SN Ia,0.049797
-ZTF21abcgnqn,TDE,0.047
-ZTF21abiplqz,CV,-1.0
-ZTF21abhzboh,SN Ia,0.051097
-ZTF21abhthvj,SN Ia,0.0689
-ZTF21abgywtg,SN Ia,0.112
-ZTF21abgmyzw,SN Ia,0.088
-ZTF21abfyxpf,SN Ia-pec,0.027
-ZTF21abfoace,SN IIb,0.03
-ZTF21abdthxn,SN Ia,0.099
-ZTF21abduoun,SN II,0.054
-ZTF21abcrhpk,SN Ia,0.0744
-ZTF21abbzhvg,SN Ia,0.07208
-ZTF21abbkvrt,SN Ia,0.08
-ZTF21abhthlm,SN Ia-91T-like,0.136
-ZTF21abbmcqq,Other,0.0
-ZTF21abglcxm,SN II,0.011258
-ZTF21abcjpnm,SN II,0.03797
-ZTF21abhtaiv,SN Ia,0.081
-ZTF21abfiuqf,SN II,0.023646
-ZTF21abcpsjy,SLSN-I,0.15
-ZTF21abbqeea,SLSN-I,0.28
-ZTF21aaquyqa,SN IIb,0.029
-ZTF18aaqnxjb,SN Ia,0.05096
-ZTF21abdlrpr,SN Ia,0.065
-ZTF21abdlvxh,SN Ia,0.039074
-ZTF21abdniws,SN,0.1555
-ZTF21abcpbqd,SN II,0.02558
-ZTF21abcmzvk,SN II,0.030067
-ZTF21aawgzda,SN II,0.0383
-ZTF21abdlyrc,SN Ia,0.08
-ZTF21abdcauj,SN Ia,0.09778
-ZTF21abctmnb,SN Ia,0.045
-ZTF21abcgnql,SN Ib,0.017578
-ZTF21abbsbov,SN Ia,0.042097
-ZTF21abhaqju,SN Ia,0.03
-ZTF21abfnfdw,SN Ia,0.03676
-ZTF21abfqisi,SN Ia,0.084
-ZTF21abeeewf,SN Ia,0.07
-ZTF21abgyxmv,SN II,0.025945
-ZTF21abflgpq,SN Ia,0.051
-ZTF21abcnkbe,SN Ia,0.046
-ZTF21abephjt,SN Ia,0.03
-ZTF21aazeugz,SN Ia,0.04
-ZTF21abmdfyi,SN II,0.021138
-ZTF21abdbodg,SN Ia,0.064
-ZTF21abdahai,SN II,0.04
-ZTF21aaqhqke,SN IIn,0.075
-ZTF21aakymbv,SN Ic,0.018
-ZTF21abfjgwr,SN Ia,0.08
-ZTF21abfflmp,SN Ia-91T-like,0.107
-ZTF18aahbypm,SN Ia,0.066041
-ZTF21abdpgua,SN Ia,0.048
-ZTF21abctnoh,SN Ia,0.064468
-ZTF21abahgst,SN Ia,0.1
-ZTF21aaxlate,SN IIn,0.076
-ZTF21aavqwhh,SN Ia,0.07
-ZTF21aatgisc,SN II,0.042
-ZTF21aaqzqaa,SN Ia,0.064
-ZTF21aaprfqv,SN Ia,0.0094
-ZTF21abgxudc,SN Ia,0.0264
-ZTF21abconph,SN Ia,0.0381
-ZTF21abcfgub,SN Ia,0.078
-ZTF21aatklhw,SN Ia,0.06689
-ZTF21aarojxa,SN Ia,0.088724
-ZTF21aaqytjr,SN Ia,0.003319
-ZTF21aaplnxw,SN Ia,0.08
-ZTF21abehrtt,SN Ia,0.09
-ZTF21abczimc,SN II,0.035955
-ZTF21abahyyj,SN Ia,0.08
-ZTF21aaxbgul,SN Ia,0.1
-ZTF21aaqpykm,SN Ia,0.06
-ZTF21abfqvjb,SN Ia,0.046826
-ZTF21abexhlq,SN Ia,0.07
-ZTF21abedvkp,SN Ia,0.13
-ZTF21abaaipx,SN Ia,0.073
-ZTF21aawtazf,SN Ia,0.061948
-ZTF21abgjdtt,CV,-1.0
-ZTF21aavhnpk,SN II,0.0285
-ZTF21aagppzg,LBV,0.002
-ZTF21abdonkp,SN Ia,0.07
-ZTF21abdmsef,SN Ia,0.145
-ZTF21abcyzzi,SN Ia,0.13
-ZTF21abdgcxb,SN Ia,0.12
-ZTF21abbtgsa,SN Ia,0.09
-ZTF21aauuybx,TDE,0.153
-ZTF21abfxjik,SN Ia,0.08
-ZTF21abeokcr,SN Ia,0.070246
-ZTF21abfxjkq,SN II,0.019937
-ZTF18adbilfq,AGN,0.03502
-ZTF21abbxtwv,SN Ia,0.027225
-ZTF21abaiono,SLSN-I,0.065
-ZTF21aazcjbh,SN Ia,0.1
-ZTF21aazqkeq,SN II,0.0283
-ZTF21aakvrgb,SN Ia,0.049312
-ZTF21abdhetx,SN Ia,0.059
-ZTF21abboibr,SN Ia,0.025
-ZTF18aavvnzu,SN Ia,0.0498
-ZTF21aarytbc,SN II,0.078
-ZTF21aasaxdk,SN Ia,0.0875
-ZTF21aanwmxn,SN II,0.045
-ZTF21abdveqn,SN Ia,0.023653
-ZTF21abcgufz,SN Ia,0.067
-ZTF21abicckd,SN Ia,0.038
-ZTF21aazlxiw,SN Ia,0.1
-ZTF21aaxwnlr,SN Ia,0.023169
-ZTF21aauapli,SN Ia-91T-like,0.02
-ZTF21aaoexgy,SN Ia,0.057
-ZTF21aazazvw,SN Ia,0.0335
-ZTF21abcympb,SN Ia,0.079
-ZTF21abcpazz,SN Ia,0.118
-ZTF21abcahhq,SN Ia,0.138
-ZTF21abcmvci,SN Ia,0.08524
-ZTF21abbliav,SN Ia,0.049
-ZTF21aatkhrt,SN Ia,0.128
-ZTF21aarskup,SN Ia,0.1
-ZTF21aassamj,SN Ia,0.056
-ZTF21aasbjgq,SN Ia,0.08
-ZTF21aasbxng,SN Ia,0.041
-ZTF21aaqupdt,SN Ia,0.080522
-ZTF21aarhnwn,SN Ia,0.049
-ZTF21aaquhqr,SN II,0.023
-ZTF21aaprevg,SN Ia,0.080621
-ZTF21aapjmpq,SN Ia-91T-like,0.13
-ZTF21aapjphz,SN II,0.02
-ZTF21aapkkgx,SN Ia,0.081
-ZTF21aalezap,SN Ia-pec,0.1
-ZTF21aaloalc,SN Ia,0.0594
-ZTF21aafmkjk,SN IIn,0.09
-ZTF21aagyxhz,SN Ia,0.047
-ZTF21aaekeqv,SN II,0.04
-ZTF21abcwsho,SN Ia,0.07408
-ZTF21aawjiss,SN Ia,0.13
-ZTF21aavxruq,SN Ia,0.036
-ZTF21abcrhbt,SN Ia,0.089
-ZTF21abcxner,SN Ia,0.072
-ZTF21abchdql,SN Ia,0.083
-ZTF21aauzzny,SN Ia,0.072
-ZTF21aaujakt,SN Ia,0.0818
-ZTF21aasctwo,SN Ia,0.066
-ZTF21aaqzkhx,SN Ia,0.050822
-ZTF21abcmjdy,SN Ia,0.095
-ZTF21abcnpnk,SN Ia,0.099
-ZTF21abcmcuq,SN Ia,0.092
-ZTF18acaucsw,SN Ia,0.07
-ZTF21abdpios,SN Ia,0.06381
-ZTF21abczjhy,SN Ia,0.064524
-ZTF21abbzcxe,SN Ia,0.055
-ZTF21abbwbja,SN Ia,0.05
-ZTF21abbkglo,SN Ia,0.03812
-ZTF21abalnud,SN Ia,0.0968
-ZTF21aazybsh,SN II,0.04294
-ZTF21aayrbnn,SN Ia,0.09
-ZTF21aarjehy,SN II,0.04
-ZTF21aaqztcg,SN Ia,0.057
-ZTF21aaqmoof,SN II,0.038
-ZTF21aamwvhr,SN II,0.04
-ZTF21aagtqgq,SN Ia,0.110153
-ZTF21abcouxj,SN Ia,0.06218
-ZTF21abcmlzt,SN Ia,0.083
-ZTF21abcimwb,SN Ia,0.07
-ZTF21abbvkpr,SN Ia,0.03
-ZTF21abbkefe,SN Ia,0.041542
-ZTF21aaylweu,SN Ia,0.052
-ZTF21aaxubqf,SN Ia,0.073698
-ZTF21aaxksct,SN Ia,0.1
-ZTF21aafdvxz,SN II,0.05
-ZTF21abchjer,SN Ic-BL,0.024617
-ZTF21abcgrcj,SN Ia,0.055
-ZTF21abbytmm,SN Ia,0.054
-ZTF21abbxdcm,SN Ia-91T-like,0.05
-ZTF18aawgrxz,SN II,0.0267
-ZTF21aayddkn,SN Ib,0.052068
-ZTF20acgcnjt,AGN,0.174
-ZTF18aansqov,SN Ia,0.07
-ZTF21abbodnh,SN Ia,0.085
-ZTF21abcgxwy,SN Ia,0.05358
-ZTF21abcgaln,SN Ic,0.00965
-ZTF21abbzjeq,SN Ia,0.043
-ZTF21abbgkgc,SN Ia,0.083
-ZTF21abccplz,SN Ia,0.082
-ZTF21abbzqvv,SN Ia,0.076
-ZTF21abbvvmf,SN II,0.010945
-ZTF21aayqrgx,SN Ib,0.033
-ZTF21aaygmrl,SN IIn,0.025
-ZTF21aaxtije,SN IIn,0.051
-ZTF21aawxqia,SN Ia,0.032588
-ZTF21aazsgyr,SN Ia,0.052
-ZTF21aazcgof,SN II,0.027
-ZTF21aayyxum,SN Ia,0.064376
-ZTF21aavotzn,SN Iax[02cx-like],0.04
-ZTF21aarnjyd,SN Ib,0.022
-ZTF21aapfime,SN Ia,0.06885
-ZTF21aahptim,SN Ia,0.090356
-ZTF21abbodsc,SN Ia-91T-like,0.1
-ZTF21abbcsfu,SN Ia,0.073
-ZTF21aaxvnjy,SN Ia,0.073
-ZTF21aaxxmvs,SN IIb,0.053
-ZTF21aavhlok,SN Ia-91T-like,0.11
-ZTF21aatwkkt,SN Ibn,0.0712
-ZTF21aatpsky,SN II,0.031
-ZTF21aatkdcw,SN Ia,0.090764
-ZTF19abcfvpv,SN Ia-91T-like,0.030655
-ZTF21aalodzw,SN II,0.056
-ZTF21aaxkckg,SN Ia,0.063
-ZTF21abceehu,SN Ia,0.03441
-ZTF21abaputv,SN Ia,0.07
-ZTF21aaydxoo,SN IIn,0.021759
-ZTF21aaxlhyl,SN II,0.043
-ZTF21aasyzkt,SN Ia,0.062
-ZTF21abbjybk,SN Ia,0.08
-ZTF20acgyjbh,SN II,0.08
-ZTF21abaakwd,SN Ia,0.040978
-ZTF21aazvrjy,SN Ia,0.0559
-ZTF21aazwtoz,SN Ia,0.04
-ZTF21aaxtgsv,SLSN-I,0.12
-ZTF21aaydwzt,SN Ia,-1.0
-ZTF21aaxtjvm,SN Ia,0.107
-ZTF21aaxstzy,SN Ia,0.069
-ZTF21aawzsew,SN Ia,0.04931
-ZTF21aaweqit,SN II,0.06
-ZTF21aavuprl,SN Ia,0.09
-ZTF21aarybxo,SN Ia,0.1
-ZTF21aaqwjlz,SN Ia,0.035
-ZTF21aaquiwu,SN Ia,0.04052
-ZTF21aaqprjz,SN Ia,0.08
-ZTF21aaprfkc,SN Ia,0.056
-ZTF21aaqgrrf,SN Ia,0.082
-ZTF21aajvukh,SN II,0.055
-ZTF21abahiow,SN Ib,0.03
-ZTF21aazqtor,SN Ia,0.0954
-ZTF21aazfkyj,SN Ia,0.062
-ZTF21aayquba,SN Ia,0.09
-ZTF21aayqycm,SN Ia,0.09
-ZTF21aaydbtk,SN Ia,0.057679
-ZTF21aaxhzru,SN Ia,0.07
-ZTF21aavsbkt,SN Ia,0.099195
-ZTF21aaqvsvw,SN IIb,0.026648
-ZTF18actytgu,SN Ia,0.019
-ZTF21abaevgu,SN Ia,0.069675
-ZTF21aaxsnvk,SN Ia,0.034477
-ZTF21aawiwqh,SN Ia,0.063
-ZTF21abbomrf,SN II,0.01521
-ZTF21aazsylk,SN Ia,0.052
-ZTF21abasxdp,SN Ia,0.07
-ZTF21aautijg,SN IIn,0.106
-ZTF21aapyiku,SN Ia,0.019685
-ZTF21abaphri,SN Ia,0.06
-ZTF21abameyr,SN Ia,0.05975
-ZTF21aayqdwk,SN Ia,0.06
-ZTF21aazebgh,SN Ia,0.076
-ZTF21aazfmxb,SN Ia,0.053
-ZTF21aaxzczy,SN Ia,0.06
-ZTF21aaxxihx,SN Ic-BL,0.06
-ZTF21aaxuywf,SN Ia,0.020538
-ZTF21aaxwpyv,SLSN-I,0.115
-ZTF21aazhegf,SN II,0.033
-ZTF21aaxtzzj,SN II,0.028551
-ZTF21aawxdbc,SN Ia,0.1
-ZTF21aaxgwtb,SN Ia,0.04423
-ZTF21aawlcwh,SN Ib/c,0.015
-ZTF19aalvaxt,SN Ia,0.024
-ZTF21abbuylk,SN Ia,0.087
-ZTF21aawtewf,SN Ia,0.103
-ZTF21aaqldsj,SN II,0.0316
-ZTF21aaherjf,SLSN-I,0.44
-ZTF21aayfnjz,SN IIb,0.023
-ZTF21aaxxoei,SN II,0.035126
-ZTF21aawogdl,SN Ib,0.031275
-ZTF18acsremz,SN Ia,0.025136
-ZTF21aapqzxr,SN Ia,0.1035
-ZTF21aajgdpo,SN II,0.036088001
-ZTF21abbaerh,SN Ia,0.03426
-ZTF21aayysgs,SN Ia,0.121
-ZTF21aarguvb,SN Ia,0.055
-ZTF21aaxzkfe,SN Ia,0.08
-ZTF21aayggyo,SN Ia,0.09
-ZTF21aatwkkg,SN IIn,0.113
-ZTF21aaygkfw,SN Ia,0.09
-ZTF21aazieut,SN Ia,0.021958
-ZTF21aaynlsf,SN Ia,0.1
-ZTF21aaxxjen,SN Ia,0.097
-ZTF21aapvsxv,SN Ia,0.03206
-ZTF21aakjhcb,SN Ia,0.042
-ZTF21aaabwzx,SN Ia-CSM,0.046
-ZTF21aaxsuik,SN Ia,0.12
-ZTF21aaxswlc,SN Ia,0.072
-ZTF21aawlwoy,SN Ia,0.05032
-ZTF21aceztiz,SN Ia,0.0055
-ZTF21aarigsr,SN Ia,0.059
-ZTF21aaowaxx,SN IIn,0.068
-ZTF21aayonfd,SN Ic,0.112
-ZTF21aakupth,SN IIn,0.023
-ZTF21aaxzbrn,SN Ia,0.07
-ZTF21aaygmiu,SN Ia,0.08
-ZTF21aaxstsv,SN Ia,0.09
-ZTF21aawmtug,SN II,-1.0
-ZTF21aavuqzr,SN IIn,0.1013
-ZTF21aaukcog,SN II,0.04
-ZTF21aatabgn,SN II,0.0777
-ZTF21aapjmda,SN Ia-91bg-like,0.026949
-ZTF21aaxtsum,SN Ia,0.123
-ZTF21aaxyecd,SN Ia,0.061249
-ZTF21aaxtdrs,SN Ia,0.07692
-ZTF21aaxtrlt,SN Ia-91T-like,0.08
-ZTF21aaxlbad,SN Ia,0.09
-ZTF21aavodst,SN Ia,0.018926
-ZTF21aavqphe,SN Ia,0.021
-ZTF21aaswtok,SN Ia,0.041
-ZTF21aapxogj,SN II,0.060214
-ZTF21aalimya,SN IIb,0.055
-ZTF21aafkwtk,SN II,0.026898
-ZTF21aaublej,SN Ia,0.041
-ZTF21aarasvn,SN II,0.017
-ZTF21aarhzdh,SN Ia,0.06975
-ZTF21aaxycms,SN Ia,0.08
-ZTF21aaxtctv,SN Ic,0.01356
-ZTF21aauvmck,SN Ibn,0.038
-ZTF21aatdzmt,SN Ia,0.076
-ZTF21aamgcrv,SN Ia,0.033416
-ZTF21aagydmn,SN II,0.005847
-ZTF21aaxzdxd,SN Ia,0.08
-ZTF21aaxylga,SN Ia,0.0338979997
-ZTF21aaydfro,SN Ia,0.09
-ZTF21aaxwytv,SN Ia,0.0313620009
-ZTF21aaxtsqe,SN Ia,0.068
-ZTF21aavodtn,SN Ia,0.1
-ZTF20abtcijp,SN Ia,0.07
-ZTF21aaxthcj,SN,0.1
-ZTF21aaxsofj,SN Ia,0.12
-ZTF21aaxgzln,SN Ia,0.02758
-ZTF21aaxwcgj,SN Ia,0.032811
-ZTF21aavoete,SN Ia,0.09
-ZTF21aavozbk,SN Ia,0.072
-ZTF21aavhlry,SN Ia,0.038
-ZTF21aawihwx,SN Ia-91bg-like,0.044
-ZTF21aaunadg,SN Ia,0.02
-ZTF18aatjfoe,SN Ia,0.081
-ZTF21aasafkl,SN Ia,0.075382
-ZTF21aaqyifh,SN II-pec,0.0185
-ZTF21aarejnt,SN Ia,0.061
-ZTF21aaqjmps,SN II,0.0246
-ZTF21aabyifm,SN Ib/c,0.024
-ZTF21aaqhhfu,SN Ib,0.006211
-ZTF21aapjqdl,SN Ia,0.08
-ZTF20acztnts,SN Ia,0.068197
-ZTF21aawyyha,SN Ia,0.056
-ZTF21aawqpuf,SN Ia,0.1
-ZTF18aaszvfn,SN IIP,0.026901
-ZTF21aavbrwr,SN Ia,0.11
-ZTF21aartgiv,SN Ic-BL,0.0461
-ZTF21aaqizwm,SN Ia,0.06
-ZTF21aavoqpl,SN II,0.023393
-ZTF21aarenhl,SN Ia-pec,0.04
-ZTF21aaqyuun,SN II,0.02
-ZTF21aatyplr,SN Ia,0.008382
-ZTF21aasfseg,SN II,0.044
-ZTF21aanzcuj,SN II,0.024
-ZTF21aaglrzc,SN II,0.05
-ZTF21aagsypp,SN Ia,0.0182
-ZTF21aasyydo,SN Ia,0.061012
-ZTF21aarrplo,SN Ia,0.046248
-ZTF21aaradzm,SN IIn,0.03
-ZTF21aaqugxm,SN II,0.018822
-ZTF21aaphlty,SN Ia,0.04887
-ZTF19abvzwlq,SN Ia,0.065
-ZTF21aaluqkp,SN II,0.025114
-ZTF21aavhsdw,SN Ia,0.061
-ZTF21aatnxwt,SN Ia-91T-like,0.11
-ZTF21aatlesr,SN Ia,0.036912
-ZTF21aarwlht,SN Ia,0.08449
-ZTF21aarcobt,SN IIn,0.054
-ZTF21aapehpx,SN Ia,0.034
-ZTF21aaipypa,SN II,0.026
-ZTF21aaufvpg,SN Ia,0.03
-ZTF21aarqkes,SN Ia,0.009346
-ZTF21aaqqwln,SN Ia,0.058
-ZTF21aaqftpz,SN Ia,0.025
-ZTF21aaossxf,SN Ia,0.056
-ZTF21aaoqbbw,SN IIn,0.050162
-ZTF21aagpymw,SLSN-I,0.098
-ZTF21aatwlhj,SN Ia,0.1
-ZTF21aardybv,SN Ia,0.065
-ZTF21aaqldsk,SN Ic,0.0364019983
-ZTF21aaikpnj,SN Ia,0.06195
-ZTF21aawckpe,SN Ia,0.047
-ZTF21aaufthj,SN Ia,0.054
-ZTF21aaugbus,SN Ia,0.03
-ZTF21aaufwyh,SN Ib,0.028
-ZTF21aatvcdl,SN Ia,0.05
-ZTF21aasufxv,SN Ia,0.04434
-ZTF20abvdtgl,SN Ia,0.092
-ZTF21aarycyl,SN Ia-91T-like,0.104
-ZTF21aaraqpr,SN Ia,0.0804
-ZTF21aamucom,SN Ia-91T-like,0.025
-ZTF20abjbgjj,SN II,0.074
-ZTF19abuvqgw,SN Ibn,0.087
-ZTF21aatsafx,SN Ia,0.059
-ZTF21aaskyvp,SN Ia,0.1
-ZTF21aarmjai,SN Ia,0.1
-ZTF21aaqyetj,SN Ia,0.05369
-ZTF21aaokvio,SLSN-II,0.14
-ZTF21aatvqcl,SN II,0.029
-ZTF21aatjavc,SN Ia,0.053944
-ZTF21aasgcve,SN Ia-91T-like,0.09
-ZTF21aasbkrl,SN Ia,0.09
-ZTF21aareexg,SN Ia,0.105
-ZTF21aapowty,SN Ia,0.046217
-ZTF21aanvncv,SN Ib/c,0.028
-ZTF21aalydkl,SN Ia,0.056
-ZTF21aalhgqi,SN I,0.086
-ZTF21aakvroo,SN IIP,0.031681
-ZTF21aauamtx,SN Ia,0.09
-ZTF21aatlbsi,SN Ia,0.07
-ZTF21aaswvyc,SN Ia,0.07
-ZTF21aarlqgt,SN II,0.067
-ZTF20acqntkr,SN Ia,0.015661
-ZTF21aaupkow,SN Ia,0.04
-ZTF21aasgffc,SN Ia,0.07
-ZTF21aapzgtu,SN Ia,0.07
-ZTF21aapfdqw,SN II,0.032
-ZTF21aaiaeri,SN II,0.043
-ZTF21aasuazz,SN Ia,0.055735
-ZTF21aaqftuq,SN Ia-91T-like,0.012128969342354
-ZTF21aapjmgf,SN II,0.054
-ZTF21aapdulz,SN II,0.0434
-ZTF21aakjkec,SLSN-I,0.16
-ZTF21aanortq,SN Ia-pec,0.04
-ZTF18aavdwmh,SN Ia,0.073
-ZTF21aalkltz,SN Ibn,0.102
-ZTF21aajgdeu,SN IIP,0.027929
-ZTF21aaigdly,SN II,0.03969
-ZTF21aaaovua,SN Ia,0.097
-ZTF20acqikeh,SN Ia-CSM,0.093
-ZTF21aaeoitd,TDE,0.126
-ZTF21aastazz,SN Ia,0.053
-ZTF21aappdnv,SLSN-I,0.213
-ZTF21aavutkm,SN Ia,0.019
-ZTF21aamokak,SN Ia,0.012
-ZTF21aagnqnz,SN IIn,0.0339
-ZTF21aaetnfe,SN Ia,0.04
-ZTF21aaskwgm,SN Ia,0.044
-ZTF21aarxsfm,SN Ia,0.088993
-ZTF21aapzzgf,SN Ia,0.06939
-ZTF21aapxtqg,SN Ia,0.0451
-ZTF21aaprddk,SN Ia,0.053
-ZTF21aanwbhk,SN Ia,0.08
-ZTF21aaomuka,SN Ia,0.07
-ZTF21aamgrtx,SN Ia,0.0444
-ZTF21aaizyqc,SN II,0.070265
-ZTF18abxdquf,CV,-1.0
-ZTF21aarerya,SN Ia,0.13
-ZTF18aansqom,SN Ia,0.03
-ZTF21aamfcji,SN Ia,0.046105
-ZTF21aalnxkl,SN Ia,0.087
-ZTF20achtubm,SN Ia,0.136
-ZTF21aaqhwgh,SN Ia,0.08317
-ZTF21aapdxxs,SN II,0.04106478941915
-ZTF21aapffqd,SN II,0.052896
-ZTF21aarohyu,SN Ia,0.063
-ZTF21aaqvmix,SN Ia,0.034
-ZTF21aagrbpi,SN Ia,0.067
-ZTF21aaaubig,SN Ic,0.009346
-ZTF21aamwqim,SN II,0.025878
-ZTF21aahdqrg,SN Ic,0.022015
-ZTF21aarmkuj,SN Ia,0.058
-ZTF21aaqzrat,Varstar,-1.0
-ZTF21aaqvuyf,SN Ia,0.053
-ZTF21aaqqlfw,SN Ia,0.09
-ZTF21aapdphm,SN Ia,0.020141
-ZTF21aarjczf,SN Ia,0.06
-ZTF21aarcldd,SN Ia,0.084
-ZTF21aaqsprr,SN Ia,0.07
-ZTF21aapdumx,SN Ibn,0.052
-ZTF18aatezaj,SN Ia,0.03419
-ZTF21aaphzsw,SN Ia,0.08
-ZTF21aapdmnr,SN Ia,0.055612
-ZTF21aagtcgb,SN Ia,0.0375
-ZTF21aaoqvzv,SN Ia,0.057
-ZTF21aaplooj,SN Ia,0.052228
-ZTF21aapnlfx,SN Ia,0.09
-ZTF21aapjcqb,SN Ia,0.07
-ZTF21aajtszm,SN Ia,0.06
-ZTF21aaifyvi,SN Ia,0.053072
-ZTF21aagxmcs,SN Ia,0.085
-ZTF21aaqujke,SN Ia,0.0657
-ZTF21aapvxnf,SN Ia-91T-like,0.085
-ZTF21aaoexjt,SN Ia,0.11
-ZTF21aanefkx,SLSN-II,0.26
-ZTF21aaqdxzv,SN Ia,0.07036
-ZTF21aaoqcnh,SN Ia,0.04
-ZTF21aanuyro,SN Ia,0.07
-ZTF21aalnyny,SN Ia,0.041585
-ZTF21aakijia,SN Ia,0.05
-ZTF21aacufip,SN Ic,0.045
-ZTF21aaobcrz,SN Ia,0.06
-ZTF21aaqwfqe,SN I,0.021125
-ZTF21aaptouk,SN Ia,0.095
-ZTF21aapejbx,SN Ia,0.07
-ZTF21aalxurx,SN II,0.027
-ZTF21aaaokyp,TDE,0.19
-ZTF20acyroke,SN Ia,0.126
-ZTF21aaplnef,SN Ia,0.075
-ZTF21aanswls,SN Ia,0.025
-ZTF21aagtekf,SN II,0.073914
-ZTF21aaqafcf,SN Ia,0.043
-ZTF21aapegtd,SN II,0.0420950018
-ZTF21aaphvyi,SN Ia,0.081438
-ZTF21aantsla,SN II,0.020738
-ZTF21aagtuzm,SN Ia,0.042
-ZTF21aapomdb,SN Ia,0.07
-ZTF21aaodljj,SN Ia,0.053
-ZTF21aahfjrr,SN IIn,0.194
-ZTF21aapkvrd,SN Ia,0.047
-ZTF20aarvpbq,SN Ia,0.080611
-ZTF21aaoghxv,SN Ia,0.0801
-ZTF21aapogvm,CV,-1.0
-ZTF18aaizgoq,SN Ia,0.07
-ZTF21aappktx,SN Ia,0.07
-ZTF21aapkfjx,SN Ia,0.035
-ZTF21aaqecpl,SN Ia,0.029
-ZTF21aaphjyn,CV,-1.0
-ZTF21aapfpod,SN Ia,0.061786
-ZTF21aapduck,SN Ia,0.058
-ZTF21aapliyn,SN II,0.028057
-ZTF21aaovdlh,SN Ia,0.056
-ZTF21aaocibg,SN Ia,0.071
-ZTF21aakilyd,SN Icn,0.083
-ZTF21aahvuvi,SN Ia,0.078297
-ZTF21aafnabs,SN Ia,0.087762
-ZTF20acwfcfs,SN Ia,0.035546
-ZTF20acveadu,SN II,0.01889
-ZTF21aapecxb,SN Ic-BL,0.05
-ZTF21aaobkmg,SN II,0.015471
-ZTF21aanyyde,SN Ia,0.06
-ZTF21aannoix,SN Ic,0.026
-ZTF20acjeflr,SN I,0.032
-ZTF21aaopqqk,SN Ia,0.0705
-ZTF21aapkhsc,SN Ia,0.04
-ZTF20acvezdt,SN II,0.0289169997
-ZTF21aaoiaar,SN IIb,0.03
-ZTF21aamttit,SN Ia,0.040571
-ZTF21aagsgit,SN Ia,0.09
-ZTF21aagxmfv,SN Ia-91T-like,0.066
-ZTF21aahccrk,SN Ia,0.097932
-ZTF21aagrjag,SN Ia,0.078866
-ZTF21aagnvvk,SN Ia-91T-like,0.13
-ZTF21aagnwkk,SN Ia,0.113
-ZTF21aagmogi,SN Ia,0.101
-ZTF21aaeoxfd,SN Ia,0.08
-ZTF21aabxztv,SN Ia,0.094728
-ZTF21aadezmh,SN Ia,0.0621
-ZTF21aacvrzy,SN Ia,0.07
-ZTF21aacudxe,SN Ia,0.087
-ZTF21aaaawur,SN Ia,0.06
-ZTF21aaabxln,SN Ia,0.08
-ZTF20acyybvq,SN Ia,0.078
-ZTF20acuowxj,SN Ia,0.065
-ZTF20acrufey,SN Ia,0.06
-ZTF21aamsiqk,SN Ia,0.01
-ZTF21aamiukc,SN Ia,0.078
-ZTF21aagnzjy,SN II,0.015
-ZTF20acounxo,SN IIn,0.019153
-ZTF21aantxma,SN Ia,0.07023
-ZTF21aamhtui,SN Ia,0.04
-ZTF21aalgqsv,SN Ia,0.079358
-ZTF21aaflcai,SN Ia,0.069
-ZTF21aaljjvt,SN Ia,0.08
-ZTF21aalgszc,SN Ia,0.054224
-ZTF21aalenaa,SN Ia,0.097049
-ZTF21aagpbkj,SN Ia-91T-like,0.087
-ZTF21aagocky,SN Ia,0.07
-ZTF21aagbeah,SN II,0.04
-ZTF20acyxrez,SN Ia,0.0917
-ZTF20acndwyv,SN II,0.09
-ZTF21aamzuxi,SN II,0.034
-ZTF21aaocrlm,SN Ic-BL,0.0385
-ZTF21aalofsw,SN Ia,0.06
-ZTF21aamjgfp,SN Ia,0.065589
-ZTF21aamobbh,SN Ibn,0.057
-ZTF21aagogqe,SN Ia,0.069
-ZTF21aagtill,SN Ia,0.1211
-ZTF21aaejeyu,SN Ia,0.026
-ZTF20acyrhbo,SN Ia,0.027
-ZTF20actvfgr,SN Ia,0.088376
-ZTF21aanrvcq,SN Ia-91T-like,0.068
-ZTF21aagocor,SN Ia,0.06
-ZTF21aagteny,SN Ia,0.085
-ZTF21aafgljq,SN Ia,0.05
-ZTF21aabkyvc,SN II,0.074
-ZTF20acwuiuo,SN I,0.108
-ZTF20acvemao,SN Ia,0.112
-ZTF20acusneh,SN Ia,0.054
-ZTF20acowata,SN Ia,0.08
-ZTF21aalnhby,SN Ia,0.064
-ZTF21aaflzqy,SN Ia,0.05
-ZTF20actkulc,SN IIn,0.0757
-ZTF21aanyfqu,SN Ia,0.067158
-ZTF21aanwfjk,SN Ia,0.065078
-ZTF21aajaljq,SN Ia,0.06
-ZTF21aakbgpf,SN Ia,0.05
-ZTF18aatgdph,SN Ia,0.035896
-ZTF21aagtceu,SN Ia,0.044665
-ZTF20acyydkh,TDE,0.133
-ZTF21aalxurs,SN Ia,0.079359
-ZTF21aaczpca,SN Ia,0.035
-ZTF21aamwzfi,SN Ia,0.1
-ZTF21aalekwo,SN Ia,0.07
-ZTF21aakzmaq,SN Ia,0.036
-ZTF21aahfjlo,SN Ia,0.039
-ZTF21aajdbhw,SN Ia,0.04
-ZTF21aajvtsq,SN Ia,0.107023
-ZTF21aagtqgz,SN Ia-91T-like,0.06232
-ZTF20acwnrty,SN Ia-91T-like,0.065
-ZTF20acvjagm,SN II,0.014
-ZTF21aamxduf,SN Ia,0.1
-ZTF21aanehlz,CV,-1.0
-ZTF21aamkxbl,SN Ia,0.057153
-ZTF21aaluoym,SN Ia,0.0664
-ZTF18abdqwzs,SN,0.0504
-ZTF21aagojfe,SN Ia,0.026872
-ZTF20acxzqyp,SN Ia,0.03
-ZTF21aakildf,SN Ia,0.081
-ZTF21aaaoviv,SN Ia,0.065883
-ZTF21aalkknw,SN Ia,0.1
-ZTF21aajtsba,SN Ia-91T-like,0.07
-ZTF21aakyqkb,SN Ia,0.07
-ZTF21aagoliy,SN Ia,0.07484
-ZTF21aamcpte,SN Ia,0.038
-ZTF21aalyvyw,SN Ia,0.062128
-ZTF21aalcsng,SN Ia,0.053642
-ZTF21aagtqna,SN II,0.02349
-ZTF21aaheulr,SN Ia,0.034
-ZTF21aalinof,SN Ia,0.020165
-ZTF21aagsysd,SN II,0.025
-ZTF21aaahtln,SN Ia,0.076427
-ZTF20acvjlev,SN II,0.028034
-ZTF20acugxbm,SN Ia,0.026218
-ZTF21aahkvem,SN Ia,0.07
-ZTF21aaiaqhh,SN II,0.0207
-ZTF21aagmqic,SN Ia,0.055
-ZTF21aagqdvr,SN Iax[02cx-like],0.058
-ZTF21aaaewsb,SN Ia,0.068
-ZTF20acytfkf,SN II,0.04
-ZTF20acwomqh,SN Ia,0.0686
-ZTF21aahtmlu,SN Ia,0.07
-ZTF21aagsihi,SN Ia,0.0237
-ZTF18aannern,SN Ia,0.033296
-ZTF21aacxung,SN Ia,0.046118
-ZTF21aaabwem,SN IIP,0.03179
-ZTF20aczfwjj,SN Ia,0.042
-ZTF20acxtdcm,SN II,0.045
-ZTF21aajmkrd,SN Ia,0.049405
-ZTF21aakybgi,SN Ia,0.036705
-ZTF21aaksblr,SN Ia,0.08
-ZTF21aahsqng,SN Ia,0.057
-ZTF21aabjesm,SN II,0.03
-ZTF21aajfpwk,SN Ia,0.079139
-ZTF21aakvhtz,SN Ia,0.09
-ZTF20ackgsov,AGN,-1.0
-ZTF21aalxpnl,SN Ia,0.081759
-ZTF21aajuerd,SN Ia,0.069197
-ZTF21aakigqr,SN II,0.066866
-ZTF21aahzspd,SN Ia,0.11
-ZTF21aahnkut,SN Ia,0.07
-ZTF21aaglgcb,SN Ia,0.07
-ZTF21aaevrjl,SN II,0.031
-ZTF20acvdfmw,SN II-pec,0.04
-ZTF19adajybt,SLSN-I,0.39
-ZTF19adaivcf,SLSN-I,0.37
-ZTF19acyjzbe,SLSN-I,0.2
-ZTF19acxxwrs,SN II-pec,0.025
-ZTF19ackjrru,SLSN-I,0.1647
-ZTF19aayejww,SN Icn,0.0641
-ZTF18aadlaxo,SN Ia,0.052953
-ZTF21aaiimkv,SN Ia,0.040508
-ZTF21aahargb,SN Ia,0.07
-ZTF21aalimtr,SN Ia,0.051344
-ZTF20aczgmai,SN IIn,0.042843
-ZTF21aacpasn,SN Ia,0.05
-ZTF21aaabrpu,SN IIb,0.027172
-ZTF21aabxjqr,SN IIb,0.03317803
-ZTF20adadrhw,SN Ic,0.0075050001
-ZTF20actqnhg,SN IIb,0.031
-ZTF20acpgnej,SN Ia,0.032249
-ZTF20acxncha,SN Ia,0.048
-ZTF20acynllu,SN Ia,0.053
-ZTF20acwujgz,SN Ia,0.07
-ZTF20acuosvy,SN Ia,0.008076
-ZTF20actskcf,SN Ia,0.028023
-ZTF20actpqgc,SN Ic,0.0327790007
-ZTF20acufmte,SN II,0.03
-ZTF20acrcewc,SN Ia,0.0239669997
-ZTF20actiymd,SN Ia,0.0394340008
-ZTF20acrerzb,SN Ia,0.07
-ZTF20acqzpta,SN Ia,0.07135
-ZTF20acpjcoe,SN Ia,0.04
-ZTF20acqksdi,SN Ia,0.03726
-ZTF20acpiywu,SN Ia,0.019607
-ZTF20acphdbu,SN Ia,0.04136
-ZTF20acplhku,SN Ia,0.074
-ZTF20acpqbfu,SN II,0.035
-ZTF21aagolqa,SN Ia,0.1
-ZTF21aacvhsc,SN Ia,0.017
-ZTF21aabhxxj,SN Ia,0.05
-ZTF21aabhqng,SN Ia,0.089
-ZTF21aaateuz,SN Ia,0.083
-ZTF21aaampui,SN Ia,0.0155
-ZTF21aaafjad,SN Ia-91T-like,0.111
-ZTF21aaabtyq,SN Ia,0.051295
-ZTF21aaabviz,SN Ia,0.06
-ZTF20acxpvhu,SN Ia,0.09
-ZTF20acwxbyr,SN Ia,0.086093
-ZTF20acwyoqx,AGN,0.0444
-ZTF20acvagdq,SN Ia,0.035428
-ZTF20acrdemq,SN Ia,0.07
-ZTF20acqexmr,SN II,0.015
-ZTF20acowddo,SN Ia,0.073
-ZTF18abaeqpf,SN II,0.0475
-ZTF21aagygzv,SN Ia,0.08
-ZTF21aaabaey,SN Ia,0.06569
-ZTF20actfoxr,SN Ia,0.06
-ZTF21aahptas,SN Ia,0.076231
-ZTF21aaihala,SN Ia,0.019
-ZTF21aaglxow,SN Ia,0.074
-ZTF21aadtkki,SN Ia,0.045
-ZTF21aaaouyd,SN I,0.06127
-ZTF20acujaft,SN Ia,0.08
-ZTF20acrzuko,SN I,0.06
-ZTF20acouofb,SN II,0.026932
-ZTF20acqvgav,SN Ia,0.1
-ZTF20acpkzxq,SN Ia,0.09
-ZTF20acoyvdg,SN Ia,0.09
-ZTF20acoykif,SN Ia,0.086
-ZTF18acwzdbb,SN Ia-pec,0.032
-ZTF21aagtpyw,SN Ia,0.076
-ZTF21aagyvtq,SN Ia,0.105047
-ZTF21aagyrvh,SN Ia,0.061207
-ZTF21aagyhax,SN Ia,0.077564
-ZTF21aagtoic,SN Ia,0.09
-ZTF21aagrhot,SN Ia,0.1
-ZTF21aafkgvj,SN Ia,0.06
-ZTF21aabvdjw,SN Ia,0.092
-ZTF21aacwleg,SN II,0.03
-ZTF20acyntiu,SN Ia,0.11
-ZTF21aagtpro,SN Ic-BL,0.04
-ZTF20abakrcq,CV,0.0
-ZTF21aahfjbs,SN Ia-pec,0.073
-ZTF20acwmyzx,SLSN-I,0.345
-ZTF20aceokvr,SN IIn,0.115
-ZTF18abmeehs,CV,-1.0
-ZTF21aagyscx,SN Ia,0.06
-ZTF21aagtexi,SN Ia,0.08
-ZTF21aagmzio,SN Ia,0.07
-ZTF21aagtqug,SN Ia-91bg-like,0.019
-ZTF21aafhftg,SN Ia,0.03
-ZTF20adaduxg,SN II,0.03
-ZTF20aciidkb,SN Ia,0.12
-ZTF20acbnoqi,SN Ia,0.08
-ZTF20aasuiks,SLSN-II,0.16
-ZTF20aahubwe,SN Ia,0.09
-ZTF21aaixlfe,SN Ia,0.034014
-ZTF21aafepon,SN II,0.011791
-ZTF20actpavu,SN II,0.0315
-ZTF21aahdpqu,SN Ia,0.07
-ZTF21aagycmk,SN Ia,0.08
-ZTF21aagtqpn,SN II,0.036
-ZTF21aaflcbk,SN Ia,0.07
-ZTF21aaaosoq,SN Ic,0.031517
-ZTF21aaaigfg,SN Ia,0.053
-ZTF21aaagypx,SN IIP,0.02706
-ZTF21aaabwfu,SN IIb,0.010929
-ZTF21aaabzdr,SN Ib/c,0.031382
-ZTF20aczgvfe,SN II,0.04
-ZTF20acpbdvm,SN II,0.07389
-ZTF20aclwclm,SN Ia,0.007612
-ZTF21aahaksd,SN Ia,0.031939
-ZTF21aaglrfh,SN Ia,0.07
-ZTF21aagmoqw,SN Ia,0.0554
-ZTF21aaekmoy,SN Ia,0.080003
-ZTF21aaabucr,SN Ia,0.07
-ZTF21aagydov,SN Ia,0.0646
-ZTF21aaglret,SN Ia,0.063
-ZTF21aagkhwf,SN Ia,0.08
-ZTF21aafdxca,SN Ia,0.006531
-ZTF18aafzers,SN Ia-pec,0.048708
-ZTF21aaewexx,SN Ia,0.06
-ZTF21aaespww,SN Ia,0.05
-ZTF21aaeoqxf,SN II,0.022
-ZTF20acxqspl,SN Ia,0.102
-ZTF20achupkw,SLSN-II,0.3836
-ZTF20aaurzyt,SLSN-II,0.149
-ZTF21aagofpx,SN Ia,0.055
-ZTF21aagqbvp,SN II,0.032438
-ZTF21aagyewh,SN Ia,0.051646
-ZTF21aacsuwx,SN Ia,0.067
-ZTF20acxtgek,SN II,0.021595
-ZTF20acwofhd,SN Ic,0.032816
-ZTF20acusylb,SN IIn,0.081828
-ZTF20aciwcuz,SN II,0.061195
-ZTF20acveyyv,SN IIn,0.193
-ZTF21aagoeny,SN Ia,0.055
-ZTF18abrbywo,SN Ia,0.0435
-ZTF21aagycrc,SN Ia,0.068
-ZTF21aagvmqr,SN Ia,0.035521
-ZTF21aafkpnp,SN Ia,0.08
-ZTF21aadebss,SN Ia,0.08
-ZTF21aahdpvi,SN Ia,0.045
-ZTF21aagqcnl,SN Ia,0.021515
-ZTF21aaebkmj,SN Ia,0.11
-ZTF21aacvupj,SN Ia,0.0937
-ZTF21aaahyjj,SN Ia-91T-like,0.095
-ZTF21aaabxbd,SN IIn,0.07593
-ZTF21aaadiap,SN Ia,0.0454
-ZTF20acuoxrx,SN Ia,0.034407
-ZTF19acbwmqd,SN IIP,0.037
-ZTF21aaekkbv,SN Ia,0.07
-ZTF18actabws,CV,-1.0
-ZTF18adbzcry,SN II,0.03
-ZTF20aczgoml,SN Ia-91T-like,0.0453189984
-ZTF20acvcpau,SLSN-I,0.226
-ZTF20acxmxth,SN Ia,0.04
-ZTF20acxsxac,SN Ia,0.045795
-ZTF20adadrdh,SN Ia,0.081
-ZTF20acptgfl,SN IIP,0.0368
-ZTF18acuavde,AGN,0.094
-ZTF21aagqcfs,SN Ia,0.023
-ZTF21aadkuko,SN Ia,0.08
-ZTF20acwytxn,TDE,-1.0
-ZTF21aadrtqz,SN Ia,0.058
-ZTF21aafkktu,SN II,0.031
-ZTF21aafjjee,SN Ia,0.04918
-ZTF21aadatfg,SN Ic-BL,0.05
-ZTF20acyvbhj,SN Ia,0.07848
-ZTF21aaabuoj,SN Ia,0.07
-ZTF20acpxvez,SN Ia,0.051
-ZTF21aaagzee,SN Ia,0.06
-ZTF20acxqnhn,SN Ia-pec,0.083
-ZTF20acorjop,SN II,0.058
-ZTF21aadzuil,SN Ia,0.067496
-ZTF21aadkgpm,SN Ia,0.06
-ZTF21aackkcp,SN Ia,0.08
-ZTF21aabvqlo,SN Ia,0.080178
-ZTF21aabgdda,SN Ia,0.09562
-ZTF18aajjhkq,SN Ia,0.07
-ZTF21aaabzap,SN Ia,0.086532
-ZTF20adadmsg,SN Ia,0.07
-ZTF20acxooam,SN Ia,0.09
-ZTF20acwqkuz,SN Ia,0.08
-ZTF20acwqlpq,SN Ia,0.07195
-ZTF20acngnrs,SN IIP,0.069
-ZTF21aadalct,SN Ia,0.046729
-ZTF20acxnafa,SN Ia,0.06
-ZTF20actpatx,SN Ia,0.0695761
-ZTF21aadktwq,SN Ia,0.0653
-ZTF21aaedpyk,CV,-1.0
-ZTF21aaaytny,SN Ia,0.0459
-ZTF21aaaadmo,SN Ia,0.044
-ZTF21aaabzsj,SN Ia,0.057352
-ZTF20aczgjdx,SN Ia,0.03394
-ZTF20acxzkkf,SN Ia,0.043245
-ZTF20acxbnjd,SN Ia,0.1
-ZTF20acwpfvq,SN Ia,0.082
-ZTF20acwoamm,SN Ia,0.067
-ZTF20acusqsp,SN Ia,0.062
-ZTF20aasjzhg,SN II,0.0206
-ZTF21aaasxel,SN Ia,0.088
-ZTF21aadoizf,SN II,0.007412
-ZTF21aacscvb,SN Ia,0.07
-ZTF21aabyqps,SN Ia,0.07
-ZTF21aaahuox,SN Ia,0.07378
-ZTF21aabfwwl,SN II,0.013639
-ZTF21aabcyvd,SN Ia,0.028143
-ZTF21aaaosmn,SN Ia,0.0375
-ZTF20acywbes,SN Ia,0.0450769998
-ZTF20acyyavb,SN Ia,0.048
-ZTF21aaaadvr,SN II,0.0166
-ZTF21aaavhbu,SN Ia,0.0767
-ZTF21aadkhte,SN II,0.046
-ZTF20acudkao,SN Ia,0.0383060016
-ZTF20achpcvt,TDE,0.035
-ZTF21aaarmhs,CV,0.0
-ZTF21aabygea,SN II,0.019
-ZTF21aaazieb,SN Ia,0.03838547
-ZTF21aabfson,SN Ia,0.03231
-ZTF21aaafgmv,SN Ia,0.079
-ZTF21aaafrnh,SN Ia-91T-like,0.062
-ZTF21aaabwfl,SN Ia,0.07
-ZTF20aczsjzc,SN Ia,0.07711
-ZTF20adadffg,SN Ia,0.05
-ZTF20acgkbjz,SN Ia,0.047
-ZTF21aaaldio,SN Ia,0.05
-ZTF21aaabvit,SN Ia,0.002388
-ZTF21aaaalaf,SN Ia,0.05
-ZTF20acwytht,SN IIP,0.033707
-ZTF20acwkvgj,SN Ia,0.06
-ZTF20actoakx,SN Ia,0.03
-ZTF20acyvzbr,SN Ia,0.05456
-ZTF20acdqjeq,SN Iax[02cx-like],0.017222
-ZTF21aaarmti,SLSN-I,0.193
-ZTF20acxpurh,SN Ia,0.06
-ZTF20actljfs,SN Ia,0.06
-ZTF20acrhrcy,SN Ia,0.1
-ZTF21aabpszb,SN Ia,0.016348
-ZTF21aabjfbc,SN II,-1.0
-ZTF20adagenq,SN Ia,0.0244
-ZTF20acnzkxb,SN II,0.02690421
-ZTF21aabgpub,Other,-1.0
-ZTF21aaafzwx,SN Ia,0.08
-ZTF20acuhgar,SN II,0.053
-ZTF21aaaotku,SN Ia,0.087927
-ZTF21aaabvkj,SN Ia,0.077146
-ZTF21aaabubo,SN Ia,0.08
-ZTF20adaftef,SN Ia,0.084025
-ZTF20acwozwz,SN Ia,0.06
-ZTF21aaaecrv,SN Ia,0.078
-ZTF21aaabvjk,SN Ia,0.016385
-ZTF21aaaajfe,SN Ia,0.05
-ZTF20acyrodl,SN Ia,0.049024
-ZTF20adadshh,SN Ia,0.024682
-ZTF20adadlqv,SN II,0.019
-ZTF20adadlqm,SN II,0.021001
-ZTF20aczacag,SN Ia,0.04106478941915
-ZTF20acyybwo,SN Ia,0.071378
-ZTF20acxqxyw,SN Ib,0.047
-ZTF20aczhajq,SN Ia,0.025144
-ZTF20acyzsol,SN Ia,0.05
-ZTF20acytgxf,SN II,0.022
-ZTF20acvebcu,SN Ib,-1.0
-ZTF20acqvwzb,SN II,0.045038
-ZTF20adadsgm,SN Ia,0.043947
-ZTF20acywefl,SN Ia,0.058596
-ZTF20acyqzeu,SN II,0.022112
-ZTF20acwncbd,SN Ia,0.08
-ZTF20acwyoxc,SN Ia,0.07551
-ZTF20acwpixx,SN Ia,0.077451
-ZTF20acvdqtg,SN Ia,0.077
-ZTF20actquzl,SN II,0.04
-ZTF20actddoh,SN Ia,0.01525
-ZTF20acpklpq,SN Ia,0.09
-ZTF20aczgvcg,SN Ia,0.051
-ZTF20acynlkj,SN Ia,0.055008
-ZTF18aaisqmw,SN Ia,0.0527
-ZTF20acxbbaj,SN Ia,0.06
-ZTF20acxvvnf,SN Ia,0.05
-ZTF20acxznai,SN Ia,0.06898
-ZTF20acxtewc,SN Ia,0.0363
-ZTF20acxcxkz,SN Ia,0.055
-ZTF20acwxrgp,SN II,0.0231
-ZTF20acwombm,SN Ia,0.124
-ZTF20acwdnbw,SN Ia,0.07
-ZTF20acueziy,SN Ic,0.023303
-ZTF20actveqm,SN Ia,0.111
-ZTF20actpbck,SN Ia,0.06
-ZTF20actrovz,SN Ia,0.09
-ZTF20acrinvz,SN IIP,0.045
-ZTF20acppsay,SN Ia,0.1
-ZTF20acpvbbh,SN II,0.043
-ZTF20acobxlz,SN Ia-91T-like,0.09
-ZTF20acobvxk,SN Ia,0.08
-ZTF20acogesf,SN Ia,0.06
-ZTF20acmddof,SN Ia,0.06
-ZTF20aciuapp,SN I,0.06
-ZTF20acinaeq,SN Ia,0.108
-ZTF20abykfsr,SN II,0.03
-ZTF20abpuwxl,SLSN-I,0.27
-ZTF20acuzlib,SN Ia,0.08
-ZTF20acuimtq,SN Ia,0.069
-ZTF20actawpa,SN II,0.025
-ZTF20acpwjus,SN Ia-91T-like,0.075
-ZTF20acpkqhq,SN Ia,0.09
-ZTF20acoxmsr,SN Ia,0.071
-ZTF20achkgng,SN Ia,0.1
-ZTF20acogywb,SN Ia,0.006758
-ZTF20acwcqnv,SN Ia,0.09
-ZTF20actnuls,SN II,0.030371
-ZTF20acknpig,SN II,0.024377
-ZTF18aahfbqp,SN Ia,0.041362
-ZTF20acwcfvx,SN Ia,0.077
-ZTF20acuoclk,SN Ia,0.082
-ZTF20acuzjqk,SN Ia,0.07
-ZTF20acpyldh,SLSN-I,0.219
-ZTF20actvlbq,SN Ia,0.083038
-ZTF20acpkses,SN II,0.045
-ZTF20acpwlvw,SN,0.09
-ZTF20acowuix,SN Ia,0.09
-ZTF20acynaba,SN Ia,0.07
-ZTF20acwqndp,SN Ia,0.05313
-ZTF20acwyihb,SN Ia,0.062157
-ZTF20acwpaov,SN Ia,0.05913
-ZTF20acwkwqn,SN Ia,0.07
-ZTF20acvziuf,SN Ia,0.017072
-ZTF20acwijiy,SN Ia,0.102
-ZTF20acwqqjs,SN IIb,0.0079
-ZTF20acvkjrm,SN Ia,0.090698
-ZTF20acumxrh,SN Ia,0.07
-ZTF20actekrw,SN Ic,0.033
-ZTF20acplkub,Nova,0.001
-ZTF20acpgokr,SN II,0.027
-ZTF20acgyvgs,SN Ia,0.0633
-ZTF20acgigfo,Nova,0.00017
-ZTF20aceeeuz,Nova,0.00019
-ZTF20acgchsp,SN II,0.0456
-ZTF20acfucwr,Nova,0.00017
-ZTF20aamiwbp,SN Ia,0.085
-ZTF20aaiaaoi,SN Ia-91T-like,0.1375
-ZTF19acgcxop,SN Ia,0.086
-ZTF19abjacdu,SN IIn,0.084
-ZTF19abfwtkw,SN Ia,0.11
-ZTF20acyvzef,SN Ia,0.03862
-ZTF20acypdlh,CV,-1.0
-ZTF20acqlfwb,SN Ia,0.08
-ZTF20acxdawc,SN Ia,0.025
-ZTF20acwlsro,SN II,0.074
-ZTF20acvcxkz,SN Ic-BL,0.0815
-ZTF20acqqdkl,SN IIn,0.078
-ZTF21aagyxgr,SN Ia,0.0169
-ZTF20acqzjqz,SN Ia,0.0241
-ZTF20acvejem,SN Ia,0.063
-ZTF20acwgnxk,SN Ia,0.039
-ZTF20acwfftd,SN Ia,0.02147
-ZTF20acviwcr,SN Ia,0.03587
-ZTF20acukxat,SN Ia,0.0425460003
-ZTF20actnzzk,SN II,0.025144
-ZTF20actvpyc,SN Ia,0.08
-ZTF20acqvwzm,SN Ib,0.0115
-ZTF20acsfdnn,SN Ia,0.09
-ZTF20acpwmui,SN Ia,0.095
-ZTF20acpgnsn,SN Ia,0.036258
-ZTF20acoxdas,SN Ia,0.1
-ZTF20acnvzga,SN Ia,0.06
-ZTF20acwgxhk,SN II,0.021
-ZTF20acovrzx,SN Ia,0.0672
-ZTF20acopmey,SN Ia-91T-like,0.08
-ZTF20ackpjmb,SN Ia,0.135
-ZTF20acisvli,SN IIn,0.106
-ZTF20acitbmh,SN Ia,0.07
-ZTF20acikuon,SN Ia,0.0237
-ZTF20acvbrbv,SN Ia-91bg-like,0.05
-ZTF20acurtpj,SN Ia,0.041
-ZTF20acuspji,SN Ia,0.0559
-ZTF20acurrzb,SN Ia,0.081
-ZTF20aculruc,SN Ia,0.077
-ZTF20actpuan,SN Ia,0.075
-ZTF20acucbek,SN Ia,0.03889
-ZTF20actnzxm,SN II,0.0211309996
-ZTF20acszhad,Varstar,-1.0
-ZTF20acpvxmk,SN Ia,0.0384
-ZTF20acpzaoa,SN Ib,0.03
-ZTF20acpeldz,SN Ia,0.036
-ZTF20acoxtxr,SN Ia,0.053987
-ZTF20acpkjsn,SN Ia,0.056
-ZTF20acnezne,SN II,0.047
-ZTF20acmaaan,SN II,0.0187
-ZTF20achlced,SN Ia,0.008246
-ZTF20acgokbj,SN Ia,0.095
-ZTF20acfaonm,SN Ia,0.07363
-ZTF20acwmpsj,SN Ia,0.0518
-ZTF20actdeqw,SN Ia,0.045
-ZTF20actvgsy,SN Ia,0.10196
-ZTF20acordqz,SN Ia,0.042
-ZTF20accmutv,SN IIP,0.041
-ZTF20acumekm,SN Ia,0.057
-ZTF20acuhren,SN II,0.0115
-ZTF20acuaqlf,SN II,0.017
-ZTF20acrxrfv,SN Ia,0.086
-ZTF20actfeym,SN Ia,0.055905
-ZTF20acsesce,SN Ia,0.052
-ZTF20acrudzk,SN Ia,0.04
-ZTF20acphcdv,SN Ia,0.088
-ZTF20acphccy,SN Ia,0.065
-ZTF20acrbpqd,SN Ia,0.06785
-ZTF20acpumut,SN Ia,0.082
-ZTF20acpqagp,SN Ia,0.087971
-ZTF20acpksoc,SN Ia,0.09
-ZTF20acpkled,SN Ia,0.091
-ZTF20acpgzif,SN Ia,0.06877
-ZTF20acowpur,SN Ia,0.063
-ZTF20acoyyly,SN Ia,0.047553
-ZTF19aanbpus,SN IIb,0.009969
-ZTF20acovdho,SN Ia,0.096
-ZTF20acoredl,SN Ia,0.05796
-ZTF20acoqpbg,SN Ia,0.06017
-ZTF20acoaqpm,SN Ia,0.08
-ZTF20acnrphs,SN Ia,0.05
-ZTF18aahrzkb,SN II,0.010551
-ZTF20acjbhhp,SN II,0.050475
-ZTF20aciubjh,SN II,0.042
-ZTF20achmmex,SN II,0.0321590006
-ZTF20acggvnn,SN II,0.04106
-ZTF20acfvgdp,SN II,0.026
-ZTF20acectxy,SN II,0.053
-ZTF20abwftit,SN IIP,0.05
-ZTF20abjwuju,SN Ia,0.08
-ZTF20abisysx,TDE,0.084
-ZTF20abazgfi,SN Ia,0.09
-ZTF20acwobku,SN IIn,0.035
-ZTF20acpyaap,SN Ia,0.02
-ZTF20acvmzfv,SN,0.06
-ZTF20actkmks,SN II,0.02815
-ZTF20acpjqxp,SN Ib-pec,0.0065
-ZTF20acpjfln,SN Ia,0.038
-ZTF20achaxsk,SN II,0.074
-ZTF20achawym,SN Ia,0.02746
-ZTF20abyxjvm,SN IIn,0.079
-ZTF20acbjgoa,SN II,0.015137
-ZTF20acvevsn,SN II,0.014
-ZTF20acrqeje,SN Ia,0.06
-ZTF20acpevli,SN II,0.039641
-ZTF20acviwgj,SN II,0.0213
-ZTF20acuzfpk,SN Ia,0.057
-ZTF20actvgjx,SN Ia-pec,0.105
-ZTF20acqoiyt,TDE,0.061
-ZTF20acplqek,SN Ia,0.083
-ZTF20acpkprl,SN Ia,-1.0
-ZTF20achfdib,SN Ia,0.017
-ZTF20abzaknn,SN Ia,0.094
-ZTF20acqgklx,SN IIn,0.14
-ZTF20acumcrz,SN Ia,0.054
-ZTF20acpilio,SN Ia,0.05
-ZTF20actlvpy,SN Ia,0.11
-ZTF20acqelhh,SN Ia,0.06
-ZTF20actrwym,SN Ia,0.08
-ZTF20acsdykp,SN Ia,0.1
-ZTF20achadaa,SN Ia,0.0369
-ZTF20achtzug,SN Ia,0.01787
-ZTF20actjbaf,SN Ia,0.08
-ZTF20acquetr,SN Ia,0.030791
-ZTF20aclvvws,SN I,0.02
-ZTF18aacnlxz,SN II,0.072475
-ZTF20accmtgu,SN IIP,0.057
-ZTF20acrzwvx,SN II,0.009954
-ZTF20acpknjk,SN Ia,0.045
-ZTF20acphsbv,SN Ia,0.1205
-ZTF20aclnqle,SLSN-II,0.1465
-ZTF20ackdkva,SN Ia,0.11
-ZTF20aclgnds,SN Ia,0.08
-ZTF20aciuafo,SN Ia,0.115
-ZTF20acitbmf,SLSN-I,0.33
-ZTF20achncqp,SN Ia,0.1
-ZTF20achuhlt,SN II,0.0344
-ZTF20achncxi,SN Ia,0.09
-ZTF20acgrwej,SN Ia,0.09
-ZTF20acbcfaa,SLSN-II,0.263
-ZTF20acjpvyd,SN IIb,0.01
-ZTF20abucjsa,SN Ia,0.043
-ZTF20abahhml,SN Ia,0.06
-ZTF19abirmkt,Nova,0.000177
-ZTF19aanbojt,SN Ia,0.048
-ZTF18abhhxcp,SN Ia,0.06
-ZTF18abltfho,SN IIn,0.055
-ZTF18aalcxig,SN Ia,0.074
-ZTF18aamigmk,SN Ia,0.017
-ZTF18aagrdcs,SN Ib,0.0181
-ZTF20acrheie,SN Ia,0.049431
-ZTF20acqfssi,SN Ia-91T-like,0.059
-ZTF20aciubfx,SN II,0.03107
-ZTF20achvdtx,SN II,0.03
-ZTF19aaaojck,SN Ia-91T-like,0.06
-ZTF20acpjapi,SN Ia,0.024187
-ZTF20acpjbgc,SN II,0.01482
-ZTF20acphdcg,SLSN-I,0.1
-ZTF20aclvtnk,SN II,0.017
-ZTF20acpujxl,SN Ia,0.04
-ZTF20aclkdlu,Other,0.066
-ZTF20acpmxdg,SN Ia,0.05
-ZTF19acwiqrc,SN Ia,0.048
-ZTF20acnznol,SN Ia,0.032312
-ZTF20acoawtj,SN IIn,0.123
-ZTF20acppruo,SN Ia,0.13
-ZTF20acoojba,SN Ia,0.117
-ZTF20aceqspy,SLSN-I,0.454
-ZTF20acjfimy,SN Ia,0.08
-ZTF20acgksph,SN IIP,0.071
-ZTF20acgsvwb,SN Ia,0.05
-ZTF20acdalpf,SN Ia,0.076
-ZTF20accrkpa,SN II,0.081
-ZTF20acbekkx,SN IIn,0.087
-ZTF20abyiycy,SN Ia,0.07
-ZTF20abvaida,SN Ia,0.07
-ZTF20acpylns,SN Ia,0.076388
-ZTF20acnsgdb,SN Ia,0.07
-ZTF20acnigox,SN Ia,0.07
-ZTF20aciievv,SN Ia,0.007
-ZTF20acpprmy,SN Ia,0.08
-ZTF20acphbem,SN Ia,0.08
-ZTF20acordmt,SN II,0.13
-ZTF20acojxtb,SN Ia,0.05
-ZTF20acmafkf,SN Ia,0.12
-ZTF20acmzoxo,SN Ia,0.028
-ZTF20aclkcuu,SN Ia,0.07
-ZTF20aclnplo,SN Ic,0.0347
-ZTF20aciwrpn,SN II,0.045
-ZTF20achsoln,SN Ia,0.078
-ZTF20achrklb,SN Ia-91T-like,0.07
-ZTF20acgpqqr,SN Ia,0.05951
-ZTF20acgiglu,SN IIb,0.026728
-ZTF20accrldu,SN II,0.038
-ZTF18abnvwgk,CV,-1.0
-ZTF20acphvzi,CV,0.0
-ZTF20acpmgdz,SN Ia,0.04
-ZTF20acpkpla,SN Ia,0.068
-ZTF20acmbhgy,SN Ia,0.114
-ZTF20acotwur,SN Ia,0.05
-ZTF20acoplqe,SN II,0.056
-ZTF20aclkyjg,SN Ia,0.126
-ZTF20acllntr,SN Ia,0.119
-ZTF20aclzegl,SN Ia,0.06
-ZTF20acijssu,SN Ia,0.104
-ZTF20abzcefc,SN II,0.056
-ZTF20abzhvnj,SN IIn,0.207
-ZTF19acxlcdz,SN Ia,0.0369
-ZTF20acnviyk,SN Ia,0.1
-ZTF20achvmoj,SN Ia,0.040822
-ZTF20acfvsze,SN Ia,0.06
-ZTF20acgided,SN II,0.017
-ZTF20acfvqjl,SN Ia,0.00898
-ZTF20abyosmd,SN II,0.02106
-ZTF20abwdaeo,SN II,0.020608
-ZTF20acntbmx,SN II,0.066
-ZTF20acongti,SN II,0.041
-ZTF20acoyfpk,SN Ia,0.01
-ZTF20acnywhz,SN Ia,0.1
-ZTF20acnyxln,SN Ia,0.055
-ZTF20acnsinb,SN Ia,0.09
-ZTF20acntqoh,SN Ia,0.06
-ZTF20ackitai,SN Ia,0.037
-ZTF20acjhhqx,SN Ia,0.04
-ZTF20acgoxns,SN II,0.032
-ZTF20achncvv,SLSN-II,0.1281
-ZTF20acfwrln,SN II,0.0183
-ZTF20acgbkji,SN Ia,0.04
-ZTF20acfkzcg,SN II,0.018713
-ZTF20acfkyll,SN II,0.020721
-ZTF20acbiwri,SN II,0.03
-ZTF20achvere,SN Ia,0.023
-ZTF20abwrcmq,SN Iax[02cx-like],0.017
-ZTF20aclftuo,SN II,0.04391
-ZTF20acedqis,SN II,0.05
-ZTF20acoqlrd,SN Ia,0.063152
-ZTF20ackhzba,SN Ia,0.064
-ZTF20acifwef,SN Ia,0.0364
-ZTF20acilzkh,SLSN-I,0.44
-ZTF20acfviac,SN Ia,0.0365
-ZTF20abyyvrw,SN Ia,0.008483
-ZTF20acezhcf,SN Iax[02cx-like],0.14
-ZTF20acpcuwx,SN Ia,0.05
-ZTF20acaczen,SN Ia,0.087
-ZTF20abvyqia,SN IIP,0.086
-ZTF20acocohy,SN II,0.09
-ZTF20acnagjb,SN Ia,0.11
-ZTF20aclxbwk,SN Ia,0.07
-ZTF18abrfccm,SN Ia,0.1
-ZTF20acohkja,Other,-1.0
-ZTF20aclkvjy,SN IIn,0.075
-ZTF20acjzzyr,SN Ia,0.065
-ZTF20aclggpx,SN Ia,0.078
-ZTF20aclnsts,SN Ia,0.0655
-ZTF20acitpfz,TDE,0.02738
-ZTF20acoqlav,SN Ia,0.09
-ZTF20acobevy,SN Ia,0.08
-ZTF20acnvlgg,SN Ia,0.07
-ZTF20ackkejs,SN Ia,0.09171
-ZTF20acgprcg,SN Ia,0.08
-ZTF20acgdycd,SN Ia,0.05
-ZTF20aceyolc,SN II,0.0555
-ZTF20abxawtg,SN II,0.056392
-ZTF20abxtiyh,SN Ia,0.04201
-ZTF20acgzjje,SN Ia,0.07
-ZTF20abswdbg,SN Ic-BL,0.03
-ZTF20acmntog,SN Ia,0.09
-ZTF20acixidp,SN Ia,0.07
-ZTF20achoqvb,SN Ia,0.03055
-ZTF20acklcyp,SN IIn,0.0415
-ZTF20ackrqfi,SN Ia,0.07
-ZTF20acitoie,SN II,0.02222
-ZTF20achstwk,SN Ia,0.09
-ZTF20achdwmq,SN Ia,0.06
-ZTF20acflmyv,SN Ia,0.103
-ZTF20accoccp,SN Ic,0.063928
-ZTF20accbsxa,SN Ic,0.074
-ZTF20acisbek,SN Ia,0.064094
-ZTF20acgznau,SN Ia,0.07
-ZTF20acgnenc,SN II,0.093
-ZTF20acgnbvv,SN Ia,0.05
-ZTF20abyyfmw,SN Ia,0.02581
-ZTF20acobamg,SN Ia,0.07
-ZTF20aclkuqh,SN Ia,0.03
-ZTF20acjetyf,SN Ia,0.033
-ZTF20acjsazw,SN Ia,0.06026
-ZTF20acizliy,SN Ia,0.04
-ZTF20acithxf,SN Ia,0.076326
-ZTF20aciowcm,SN Ia,0.09
-ZTF20achsfcq,SN Ia,0.097
-ZTF20acitojm,SN Ia,0.05
-ZTF20aclwowi,SN Ia,0.1
-ZTF20aciudrr,SN Ia,0.09957
-ZTF20acgnelh,SN II,0.04
-ZTF20aclflxd,SN Ia,0.08
-ZTF20acctbbw,SN Ia,0.05
-ZTF20ackpivo,SN Ia,0.13
-ZTF19aaabvzh,Other,0.072
-ZTF20acjlkpe,SN Ia,0.07
-ZTF20abxyiqi,SN II,0.04106
-ZTF20abnbilr,SN Ia,0.013786
-ZTF20abybeex,SN II,0.028
-ZTF20absvtnc,SN Ia,0.035
-ZTF20ackobeu,SN Ia,0.1
-ZTF20achrgub,SN Ia,0.12
-ZTF20achbekh,SN Ia,0.0744
-ZTF20abvtybi,SN II,0.04
-ZTF20acjutba,SN Ia,0.09
-ZTF20aciugdl,SN Ia,0.07
-ZTF20aciuakv,SN Ia,0.03496
-ZTF20abwktfx,SN Ia,0.027035
-ZTF20abxyaje,SN II,0.03784
-ZTF20acjrytv,SN Ia,0.060119
-ZTF20achwpvs,SN Ia,0.08
-ZTF20acfnuee,SN Ia,0.06
-ZTF20acdafau,SN Ia,0.016
-ZTF20abyzomt,SN II,0.022125
-ZTF20aaqepvb,SN II,0.015
-ZTF20ackhoov,SN II,0.014
-ZTF20acjjkhr,SN Ia,0.03901
-ZTF20achusux,SN II,0.0256
-ZTF20accmtgt,SN Ia,0.033
-ZTF20abzumlr,SLSN-I,0.0645
-ZTF20achzugy,SN Ia,0.048
-ZTF20achtpbn,SN Ia,0.1
-ZTF20acgynyw,SN Ia,0.07
-ZTF20acgmflv,SN Ia-91T-like,0.116
-ZTF20achbejn,SN II,0.04
-ZTF20aceqoer,SN Ia,0.11
-ZTF20abzpxxu,SN Ia,0.09
-ZTF20acbakkg,SN Ia,0.038
-ZTF20abzgegm,SN II,0.046
-ZTF20abzjoxd,SN IIn,0.0577
-ZTF20abzetdf,SN Ia,0.07
-ZTF20abmlxrx,SN Ia-CSM,0.095
-ZTF20aaurwes,SN Ia,0.015
-ZTF20achksbc,SN Ia,0.076
-ZTF20achaxvo,SN Ia,0.054604
-ZTF20acgpigm,SN Ia,0.09
-ZTF20acgrvtr,SN Ia,0.075
-ZTF20abxyaqc,SN Ia,0.0555
-ZTF20abvyare,SN Ia,0.047506
-ZTF20acgkuay,SN Ia-91bg-like,0.04846
-ZTF20achatyv,SN Ia,0.067767
-ZTF20aciigcw,SN Ia,0.04
-ZTF20aciaxil,SN Ia,0.07
-ZTF20achvmjr,SN Ia,0.07
-ZTF20abgjbpj,SN Ia,0.135
-ZTF20abjwjrx,SLSN-I,0.153
-ZTF20abgbxby,SLSN-I,0.283
-ZTF20abawhtd,SLSN-II,0.123
-ZTF20aavkomc,SN II,0.093
-ZTF20acinuir,CV,-1.0
-ZTF20achdcni,SN Ia,0.106
-ZTF20achtxbi,SN Ia,0.07
-ZTF20acgmqgv,SN Ia,0.08
-ZTF20acgremo,SN Ia,0.05
-ZTF20acgmvsn,SN Ia,0.08
-ZTF19aarmtgu,SN Ia,0.04185
-ZTF20acghajc,Varstar,0.0
-ZTF20accodxy,SN Ia,0.075
-ZTF18abvoyen,CV,-1.0
-ZTF20acdnmpv,SN Ia,0.065
-ZTF20acajvrj,SN Ia,0.0705
-ZTF20abzfoyg,SN Ia,0.075
-ZTF20abyskia,SN Ia,0.08
-ZTF20abywydb,SN II,0.04
-ZTF20abyleyk,SN Ia,0.0459
-ZTF20abxzrqw,SN Ia,0.0467
-ZTF20abxidyb,SN Ia,0.099
-ZTF20abvqilf,SN Ia,0.045
-ZTF20abqsrfe,SN Ia,0.116
-ZTF20abpuijn,SN Ia,0.06624
-ZTF20abxyajd,SN Ia,0.02
-ZTF20acghodf,SN IIn,0.020254
-ZTF20ablqbvc,SN Ia,0.049
-ZTF20abjxrhg,SN Ia,0.08
-ZTF20achmgee,SN Ia,0.075
-ZTF20achptde,SN Ia,0.0906
-ZTF20achnfaa,SN II,0.055532
-ZTF20acggxac,SN Ia,0.093
-ZTF20acgnrqu,SN Ia,0.046
-ZTF20achbkud,SN Ia,0.085
-ZTF20acfqngt,SN Ic,0.016111
-ZTF20acehyxd,SN Ia,0.036
-ZTF20acebgre,SN Ia,0.07
-ZTF20acfkkyf,SN Ia,0.056
-ZTF20acezpem,SN Ia,0.07
-ZTF20accsfkt,SN Ia,0.08
-ZTF20acbovrt,SN Ia,0.05
-ZTF20abxyifx,SN II,0.02563
-ZTF20abzvxyk,SN Ia,0.093
-ZTF20acggzxc,SN Ia,0.084
-ZTF20accovje,SN Ia,0.094
-ZTF20acgrvqo,SN Ia,0.03
-ZTF20abzjads,SN Ia,0.075
-ZTF20abzqlts,SN II,0.058
-ZTF20abqgzhh,SN Ia,0.05
-ZTF20abmsqaa,SN Ia,0.107
-ZTF20abqdqyh,SN II,0.0194
-ZTF20acgnzhj,SN Ia,0.06
-ZTF20abyiohf,SN Ia,0.085
-ZTF20abygigy,SN Ia,0.0595
-ZTF20abqaqgv,SN Ia,0.045
-ZTF20acgcgnf,SN Ia,0.096
-ZTF20acfvqdz,SN II,0.03331
-ZTF20abydkrl,SN Ia,0.031141
-ZTF20abmdfcy,SN Ia,0.0934
-ZTF20abjtavx,SN Ib,0.14
-ZTF20abqvsik,SN Ia,0.002597
-ZTF20accxqqo,SN Ia,0.04
-ZTF20acberfr,SN Ia,0.09
-ZTF20accdijx,SN II,0.025
-ZTF20abxkwbi,SN II,0.03
-ZTF20abtnpwt,SN Ia,0.09
-ZTF20accxzmn,SN Ia,0.051
-ZTF20acberbd,SN Ia,0.07
-ZTF20acbttnt,SN Ia-91T-like,0.099
-ZTF20abyxuky,SN Ia,0.08
-ZTF20abjfufv,SN Ia,0.03
-ZTF20abyfmjr,SN Ia,0.099
-ZTF20abxyfye,SN Ia,0.06
-ZTF20abxjefm,SN Ia,0.079
-ZTF20abvqibv,SN Ia-91T-like,0.0665
-ZTF20abqlgtv,SN Ia,0.103
-ZTF20absvwdh,SN Ia,0.0667854
-ZTF20abqnztv,SN Ia,0.07
-ZTF20abqlawg,SN Ia,0.0711
-ZTF20abpvolc,SN Ia,0.07
-ZTF20abnwldu,SN Ia,0.127
-ZTF20abjaapj,SN II,0.03
-ZTF20abgbxfm,SN Ia,0.073
-ZTF20abcxnkh,SN Ia,0.048
-ZTF20acfvltv,SN Ia,0.04
-ZTF20acfdmex,SN II,0.018489
-ZTF20acfasbq,SN Ia,0.047
-ZTF20acchxpm,SN Ia,0.08
-ZTF20acggqfs,SN IIn,0.008463
-ZTF20abywpkl,SN Ia,0.06
-ZTF20abrcsdn,SN II,0.015
-ZTF20abxxzxy,SN Ia,0.066
-ZTF20abxfiev,SN Ia,0.08
-ZTF20acauthg,SN Ia,0.08
-ZTF20abwzqzo,SN IIb,0.023033
-ZTF20abonvte,SN IIn,0.053
-ZTF20acbeanu,SN Ia,0.06
-ZTF18abxhsyn,SN Ia,0.03757
-ZTF20abzjcdg,SN Ic,0.046432
-ZTF20abzoaas,SN II,0.02723
-ZTF20abywoaa,SN II,0.063
-ZTF19acwqvvn,SN Ia,0.0645
-ZTF20abxmwwd,SN IIP,0.03
-ZTF20abvvnqh,SN Ic,0.0369
-ZTF20abrmmah,SN Ic-BL,0.0725
-ZTF20abnvdem,SN Ia,0.075
-ZTF20accagnf,SN Ia,0.06
-ZTF20abzhwtq,SN Ia,0.053741
-ZTF20abpmqnr,SN IIn,0.022
-ZTF20abyxnjo,SN Ia,0.08
-ZTF20abyxcib,SN Ia,0.02897
-ZTF20abyqdyg,SN Ia,0.1
-ZTF20abnofwd,SN Ia,0.035
-ZTF20abzjvse,SN Ia,0.08
-ZTF20abzcokv,SN Ia,0.055
-ZTF20abyznqs,SN Ibn,0.05
-ZTF20abqferm,SN II,0.03
-ZTF20aboytzr,SN Ia,0.0678
-ZTF20abzgfhl,SN Ia,0.08
-ZTF20abvycvf,SN Ia,0.022222
-ZTF20abrnvnn,SN II,0.0444
-ZTF20abpvhqv,SN Ic,0.015724
-ZTF20abzoeiw,SN Ic-BL,-1.0
-ZTF20abxpzxg,SN Ia,0.077
-ZTF20abwkqxd,SN Ia,0.05
-ZTF20abvquuo,SN Ib,0.03
-ZTF20abzbfct,SN Ia,0.035
-ZTF20abyzprl,SN II,0.053
-ZTF20abyzbxa,SN Ia,0.08
-ZTF20abywsut,SN Ic,0.031428
-ZTF20abywspv,SN Ia,0.09
-ZTF20abyylgi,SN II,0.02891
-ZTF20abyjoxb,SN Ia,0.085
-ZTF20abyjopm,SN Ia,0.11
-ZTF20abxezim,SN Ia,0.0757538
-ZTF20abxcycq,SN Ia,0.082073
-ZTF20abwcnhm,SN Ia,0.04
-ZTF20abvowvw,SN Ia,0.05
-ZTF20abupxie,SN II,0.0184
-ZTF20abtsecq,SN Ia,0.076
-ZTF20abstsxb,SN Ia,0.094
-ZTF20abqbzuv,SN Ia,0.02638
-ZTF20abobpcb,SLSN-I,0.159
-ZTF20abzjpsv,SN Ia,0.095
-ZTF20abyzgzj,SN Ia,0.06
-ZTF20abyvtds,SN Ia,0.04
-ZTF20abweedo,SN Ia,0.039
-ZTF20abtjjhb,SN IIn,0.064
-ZTF20abyptpc,SN Ia,0.01335
-ZTF20abylbuf,SN Ia,0.0468
-ZTF20abxgxjd,SN Ia,0.07
-ZTF20abwxywy,SN Ic,0.017429
-ZTF20abvykmy,SN Ia,0.052
-ZTF20abyjpxx,SN Ia,0.093
-ZTF20abywzvj,SN Ia,0.038748
-ZTF20abxyggc,SN Ia,0.022742
-ZTF20abwdwoa,SN Ia,0.103
-ZTF20abucvpo,SN Ia,0.03
-ZTF20abtfnpl,SN Ia,0.07
-ZTF20abrnvwf,SN Ia,0.08
-ZTF20abquppg,SN Ia,0.068
-ZTF20abqfgee,SN Ia,0.028
-ZTF20abpuxna,SN II,0.03616
-ZTF20abpyplw,SN Ia,0.072
-ZTF20aabqihu,TDE,0.068
-ZTF19accmaxo,TDE,0.0878
-ZTF20abzcsbt,SN Ia,0.023
-ZTF20abyppuk,SN Ia,0.08
-ZTF20abxpoxd,SN Ic,0.02208
-ZTF20abvyauy,SN Ia,0.04
-ZTF20abxwreg,SN Ia,0.06
-ZTF20abwynwj,SN Ia,0.06
-ZTF20abxyaaf,SN Ic,0.015647
-ZTF20abuqali,SN II,0.04
-ZTF20abuusst,SN Ia,0.09
-ZTF20abqlmwn,SN II,0.025
-ZTF20abqdkne,SN Ic,0.028387
-ZTF20abyfgri,SN Ia,0.06
-ZTF20abvtozi,SN Ia,0.045
-ZTF20abmsxxr,SN Ia,0.1
-ZTF20ablnjvp,SN Ia,0.0538
-ZTF20ablklei,SN II,0.025
-ZTF20abjyorg,SN II,0.0527
-ZTF20abegirf,SN II,0.045
-ZTF20abowpvf,SN Ia,0.082
-ZTF20aboquuv,SN Ia,0.048
-ZTF20abwyyjc,SN Ia,0.08
-ZTF20abupbub,SN Ia,0.04
-ZTF20abrnavu,SN Ia,0.08
-ZTF18abqyaix,SN Ia,0.0582
-ZTF20abxrsjb,SN Ia,0.07
-ZTF20abwaoey,SN Ia,0.11
-ZTF20abtctgr,SN Ia,0.045
-ZTF20abptxls,SN Ia,0.016
-ZTF20abkdpsy,SN Ia,0.021
-ZTF20abxxvzp,SN Ia,0.048
-ZTF20abxyadt,SN Ia,0.066
-ZTF20abwavab,SN Ia,0.03
-ZTF20abxmgny,SN Ia,0.09
-ZTF20abxgwjr,SN Ia,0.035
-ZTF20abpzatb,SN Ib/c,0.1
-ZTF20abgbwmt,SN Ia,0.035
-ZTF20abqmmhn,SN Ia,0.09
-ZTF20abtajxq,SN Ia,0.0818
-ZTF20abuojuw,SN Ia,0.07
-ZTF20abtkjfw,SN Ic,0.017445
-ZTF20abrdvpj,SN Ia,0.1
-ZTF20aattztb,SN IIn,0.1116
-ZTF20aahapgw,SN IIn,0.111
-ZTF20aaaddgy,SN IIn,0.1029
-ZTF19acftbsn,SN IIn,0.1215
-ZTF20absfrbq,SN Ia,0.07
-ZTF20abfcszi,TDE,0.07
-ZTF19acbjddp,SN Ia-CSM,0.1835
-ZTF19abmouqp,SN IIn,0.1673
-ZTF19ablpasc,SN IIn,0.127
-ZTF19aalbfga,SN IIn,0.125
-ZTF19aadoota,SN IIn,0.058
-ZTF20abswjae,SN Ia,0.07427
-ZTF20abgxlut,AGN,0.257
-ZTF20abgtvhl,SN II,0.0178
-ZTF20abliiex,SN II,0.039184
-ZTF20abchbds,SN Ia,0.011
-ZTF20abushtf,SN Ia,0.08
-ZTF20abszyjg,SN Ia,0.046
-ZTF20abujoya,SN Ia,0.07
-ZTF18aatrkga,SN Ia,0.0285
-ZTF20abpeyat,SN Ia,0.05
-ZTF20abekcdt,SN II,0.049
-ZTF20abthxfr,SN Ia,0.046
-ZTF20abqgbum,SN IIn,0.068
-ZTF20abqefja,SN Ia,0.0802
-ZTF20abjwvdh,SN Ia,0.045
-ZTF20abrnklh,SN Ia,0.06
-ZTF20abpqdgh,SN Ia,0.076
-ZTF20ablygyy,SN II,0.01687
-ZTF20abkacis,SN Ia,0.06
-ZTF20abrgyhd,SN Ia,0.066
-ZTF20abrffom,SN Ia-pec,0.028687
-ZTF20abqmtsh,SN Ia,0.025077
-ZTF20abqofgc,SN Ia,0.08
-ZTF20abqhsxb,Nova,0.00017
-ZTF20abjgfac,SN Ia,0.03
-ZTF20abqetet,SN Ia,0.06
-ZTF19abzfxel,SN IIn,0.074
-ZTF20abpyxja,SN Ia,0.05
-ZTF20abpuyau,SN Ia,0.05
-ZTF20abrjmgi,SN Ia,-1.0
-ZTF20abqosnh,SN Ia,0.09
-ZTF20aavzffg,SN Ib,0.005247
-ZTF20abirxmf,SN Ia-pec,0.099
-ZTF20abpscln,SN Ia,0.06
-ZTF20abnrdse,SN Ia,0.075
-ZTF20abnmahn,SN Ia,0.0795
-ZTF20abglyot,SN Ia,0.055582
-ZTF20abgwgqj,SN Ia,0.1
-ZTF20abpsbyg,SN Ia,0.054
-ZTF20abmxstg,SN Ia,0.1
-ZTF20abmapla,SN Ia,0.06
-ZTF20abgbfyk,SN Ia,0.076
-ZTF20abfcshg,SN Ia,0.035
-ZTF20abmoakx,SN II,0.0338
-ZTF19aanyuyh,SN Ia,0.024534
-ZTF20abkcril,SN Ia,0.052
-ZTF20abgfekk,SN Ia,0.05
-ZTF20abqcvtk,SN Ia,0.05
-ZTF20ableiem,SN Ia,0.015651
-ZTF20abjuxoy,SN II,0.02652
-ZTF20abjcyhg,SN II,0.03
-ZTF20abnlsww,SN Ia,0.082
-ZTF20abmspyz,SN Ia,0.044
-ZTF18abbikrz,SN Ia,0.04614
-ZTF20abkzhpk,SN Ia,0.074
-ZTF20abegiry,SN Ia,0.04106
-ZTF20aazffau,SN IIn,0.128
-ZTF20abotkfn,SN II,0.003
-ZTF20abmudrv,SN Ia,0.046
-ZTF20abmcyox,SN Ia,0.074
-ZTF20abmcxct,SN Ia,0.03
-ZTF20abodgpt,SN Ia,0.078
-ZTF20abmbxrq,SN Ia,0.09
-ZTF20ablxtlp,SN Ia,0.0388
-ZTF20abmarcv,SN Ia,0.1
-ZTF20aaumsrr,SN Ia,0.0073
-ZTF20abpglei,SN Ia,0.055
-ZTF20abndopb,SN Ia,0.06
-ZTF20abmxovj,SN Ia,0.09
-ZTF20abmcwtd,SN Ia,0.07
-ZTF20abndzyc,SN Ia,0.07
-ZTF20abmzfql,SN Ia,0.074
-ZTF20abkloyg,SN Ia,0.08
-ZTF20abjpvce,SN Ib,0.031288
-ZTF20abkgypx,SN Ia,0.076
-ZTF20abjubmm,SN Ia,0.082736
-ZTF20abijfqq,SN Ia,-1.0
-ZTF20abmxtnh,SN Ia,0.05854
-ZTF19aaphntn,SN Ia,0.09
-ZTF20abhzgly,SN Ia,0.08
-ZTF20abeolsw,SN Ia,0.0641
-ZTF19acyksfd,SN Ia,0.04786
-ZTF18aavrzxp,SN Ia,0.07
-ZTF18aaxcxih,SN Ia,0.07
-ZTF18aajpjdi,SN Ia,0.0746
-ZTF20abmbycd,SN Ia,0.055174
-ZTF20abkfhzy,SN Ia,0.05
-ZTF20abjcuep,SN Ia,0.08
-ZTF20abhjghg,SN Ia,0.055
-ZTF20abisrhp,SN Ia,0.103
-ZTF20abjyoty,SN II,0.018866
-ZTF18acqugen,SN Ia,0.0568
-ZTF20abeimho,SN Ia,0.075
-ZTF18aarqxbw,SN II,0.048
-ZTF20abapvvq,SN Ia,0.05
-ZTF19aatmkll,SN Ibn,0.024757
-ZTF20abmtaya,SN II,0.030174
-ZTF20abnnfpv,SN II,0.02456
-ZTF20abnnftk,SN Ia,0.02168
-ZTF20abefaya,SN Ia,0.093
-ZTF20abcbxpj,SN Ia,0.085
-ZTF20abbbsfs,SN Ia-CSM,0.136
-ZTF19acjqecl,SN Ia,0.0878
-ZTF19acitkzs,SN Ia,0.087
-ZTF19abrtjsf,SN IIP,0.053741
-ZTF19aargqez,SN Ia,0.026
-ZTF18abvgjyl,SLSN-I,0.2405
-ZTF18aahqkbt,TDE,0.051
-ZTF20abnsqsr,CV,-1.0
-ZTF20abevbxv,SN II,0.00531
-ZTF18aahvndq,SN Ia,0.015371
-ZTF19abidbya,TDE,0.117
-ZTF19aakswrb,TDE,0.1206
-ZTF19aabbnzo,TDE,0.091
-ZTF18acaqdaa,TDE,0.212
-ZTF18abiyatb,CV,0.12
-ZTF20abmectx,SN Ia,0.09
-ZTF20abjlaim,SN Ia,0.08
-ZTF20abixkpg,SN Ia,0.09
-ZTF19aarflsx,SN Ia,0.08
-ZTF18acbzvpg,SN IIb,0.026
-ZTF18acbxudr,SN II,0.011
-ZTF18abwkrbl,SN IIb,0.00999
-ZTF20ablkswc,SN Ia,0.08
-ZTF19aaarhtg,SN Ia,0.028
-ZTF20abloktg,SN Ia,0.111
-ZTF20abjrror,SN Ia,0.09
-ZTF20abgdtmv,SN Ia,0.08
-ZTF20abjwuuv,SN Ia,0.063
-ZTF20abgwffm,SN Ia,0.108
-ZTF20abfqeef,SN Ia,0.061142
-ZTF20abfadah,SN Ibn,0.1
-ZTF20abblqtl,SN Ia,0.106
-ZTF20abkrwdu,SN Ia-91T-like,0.075
-ZTF20abkwvgc,SN Ia,0.08
-ZTF20abjxwga,SN Ia,0.06506
-ZTF20abjkvyt,SN Ia,0.07
-ZTF20abjkxwa,SN Ia,0.054
-ZTF20abjonjs,SN II,0.015527
-ZTF20abjbiqf,SN Ia,0.05
-ZTF20abexyxk,SN Ia,0.05
-ZTF20abisvtr,SN Ia,0.078
-ZTF20abjatqy,SN II,0.026
-ZTF20abixkhh,SN Ia,0.041
-ZTF20abipuee,SN Ia,0.05
-ZTF20abhmnom,SN Ia,0.07
-ZTF20abhvnzc,SN Ia,0.02784
-ZTF20abguygh,SN Ia,0.0953
-ZTF20aaycmhl,SN II,0.029
-ZTF20abhlncz,SN Ib,0.0308
-ZTF20abhrmxh,SN Ia,0.066
-ZTF20abgaovd,SN Ia,0.1
-ZTF20abgpksj,SN Ia,0.06
-ZTF20abgoocl,SN II,0.06
-ZTF20abgfvav,SN Ia,0.095
-ZTF20abgzvff,SN Ia,0.025
-ZTF20abgfljj,SN Ia,0.062
-ZTF20abgwfek,TDE,0.062
-ZTF19aamdmcs,SN Ia,0.041
-ZTF20abfsemq,SN Ia,0.05
-ZTF20abgevcw,SN Ia,0.0824
-ZTF20abgijph,SN Ia,0.091
-ZTF20abfhway,SN Ia,0.04689
-ZTF20abgbxvb,SN Ib,0.017409
-ZTF20abgdspk,SN Ia,0.066
-ZTF20abgbxzn,SN Ia,0.065
-ZTF20abfehpe,SN II,0.06
-ZTF20abfyriw,SN Ia,0.036091
-ZTF20abfemvr,SN Ia,0.07
-ZTF20abfybms,SN Ia,0.06
-ZTF20abewogd,SN Ia,0.06
-ZTF20abfklsy,SN Ia,0.05
-ZTF20abfhzhm,SN Ia,0.1
-ZTF20abfcdkj,SN II,0.059
-ZTF20abffaxl,SN Ia,0.04106
-ZTF20abeqsrm,SN Ia,0.048
-ZTF20abektyy,SN Ia,0.158
-ZTF20abegoix,SN Ia,0.044
-ZTF20abeyqmx,SN Ia,0.0759
-ZTF20abeywdn,SN Ia,0.025
-ZTF20abfcsnk,SN Ia,0.1
-ZTF20abfcrzj,SN IIb,0.023
-ZTF18aarbaba,SN Ia,0.0594
-ZTF20abeyvwv,SN Ia,0.04923
-ZTF20abehvas,SN Ia,0.0658
-ZTF20abejvpr,SN Ia,0.09
-ZTF20abeohfn,SN II,0.005134
-ZTF20abeljuj,SN Ia,0.04
-ZTF20abeolig,SN Ia,0.0624
-ZTF20abeoicg,SN Ia,0.0392
-ZTF20abelnha,SN Ia,0.074
-ZTF20abeldyn,SN Ia,0.046
-ZTF20abekbzp,SN II,0.0405
-ZTF20abefzfc,SN Ia,0.08
-ZTF20abedydu,SN Ia,0.08
-ZTF20abeeahl,SN Ia,0.0488
-ZTF20abeeyrn,SN Ia,0.09679
-ZTF18aaiykoz,SN Ia,0.0305
-ZTF20abegate,SN Ia,0.05
-ZTF20abeezca,SN Ic,0.046
-ZTF20abcuigh,SN Ia,0.11
-ZTF20abeglzu,SN Ia,0.04735
-ZTF20abefbpl,SN Ic,0.0423
-ZTF20abeeytg,SN Ia,0.04274
-ZTF20abeeyrs,SN Ia,0.08
-ZTF20abeeyre,SN Ia,0.0534
-ZTF20abedygm,SN Ia,0.092
-ZTF20abdxouw,SN Ia,0.088
-ZTF20abedyov,SN Ia,0.057
-ZTF20abgtran,SN Ia,0.03317
-ZTF20abefbnz,SN Ia,0.068
-ZTF20abefdvd,SN Ia,0.03918
-ZTF20abdxuew,SN Ia,0.07
-ZTF20abdzrxo,SN Ia,0.037
-ZTF20abdxyae,SN Iax[02cx-like],0.046
-ZTF20abdxoeu,SN II,0.0275
-ZTF20abdajyr,SN Ia,0.06
-ZTF20abdxffu,SN Ia,0.0597
-ZTF18aayyqia,SN Ia,0.0691
-ZTF20abcqpdj,SN Ia,0.0533
-ZTF20abdsunu,SN Ia,0.054501
-ZTF20abdtiti,SN Ia,0.089
-ZTF20abctyza,SN Ia,0.101
-ZTF19abkrbjt,SN Ia,0.0625
-ZTF20abcxnjl,SN Ia,0.089
-ZTF20abcwuwg,SN Ia,0.06
-ZTF20abcsjtx,SN Ia,0.0307
-ZTF20abdxzlz,CV,-1.0
-ZTF20abcsbux,SN Ia,0.09
-ZTF20abciflj,SN Ia,0.04106
-ZTF20abccojn,SN Ia,0.11
-ZTF20abbozif,SN Ia,0.09
-ZTF20abccixp,SN II,0.044
-ZTF20abcgkom,SN II,0.055
-ZTF20abchhuw,SN Ia,0.03
-ZTF20abbpory,SN Ia,0.06
-ZTF20abbrptu,SN Ia,0.03
-ZTF20abbihor,SN Ia,0.04
-ZTF20abatmsa,SN Ia,0.103
-ZTF20abcgjvq,SN Ia,0.056079
-ZTF20abbjwgc,SN Ia,0.0466
-ZTF20abbplei,SN Ic-BL,0.031162
-ZTF20abbpkpa,SN II,0.033
-ZTF20abbpkng,SN Ib,0.0374
-ZTF20abawtpy,SN Ia,0.055
-ZTF20abawntz,SN Ia,0.078
-ZTF20abavnaw,SN Ia,0.084
-ZTF20abbhyxu,SN Ia,0.031985
-ZTF20abaunmw,SN Iax[02cx-like],0.008736
-ZTF20abbhrrt,SN Ib,0.015
-ZTF20abajsne,SN Ia,0.0554
-ZTF18abhbqbh,SN Ia,0.052
-ZTF20abbbumr,SN Ia,0.12
-ZTF20abajtzc,SN Ia,0.099
-ZTF20abasqfx,SN Ia,0.09
-ZTF20abatfzl,SN Ia,0.1
-ZTF20abasxmb,SN Ia,0.024755
-ZTF20abavxpk,SN Ia,0.030227
-ZTF20abazekd,SN Ia,0.0544
-ZTF20abatows,SN Ia,0.09436
-ZTF20abatdly,SN Ia,0.093
-ZTF20abajdvf,SN Ia,0.078
-ZTF20abafzxx,SN Ia,0.02723
-ZTF20abazeye,CV,0.0
-ZTF20abcxnbb,SN Ia,0.03
-ZTF20abawgdl,SN Ia,0.02291
-ZTF20abgbdeh,SN Ia,0.056793
-ZTF20aazpnxl,SN Ia,0.121
-ZTF20aazpphr,SN II,0.166
-ZTF20abapyxl,SN Ia,0.085
-ZTF20abaknoz,SN Ia,0.08
-ZTF20aazsyvu,SN Ia,0.072
-ZTF20aazymxi,SN Ia,0.04
-ZTF20aazpaki,SN Ia,0.08
-ZTF20aazycgy,SN II,0.0295
-ZTF20aazqiel,SN Ia,0.124
-ZTF20aazooyu,SN Ia,0.12
-ZTF20aazpwen,SN Ia,0.079
-ZTF20aazstdx,SN Ia,0.06
-ZTF20aazquhc,SN Ia,0.03456
-ZTF20aazswwk,SN II,0.032
-ZTF20aazpyhy,SN Ic-BL,0.066
-ZTF20aazrxef,SN II,0.033
-ZTF20aazjwgh,SN Ia,0.0557
-ZTF20aazpapu,SN Ia,0.09
-ZTF20aazoqmh,SN Ia,0.055
-ZTF20aazpphd,SN II,0.046
-ZTF20aazdsjr,SN Ia,0.06
-ZTF20aaznpor,SN Ia,0.039544
-ZTF20aazhtvi,SN Ia,0.085
-ZTF20aayvqhl,SN Ia,0.0826
-ZTF20aazhzna,SN Ia,0.0365
-ZTF20aazgxgk,SN Ia,0.0759
-ZTF20aazhyrs,SN Ib,0.0599
-ZTF20aazkjfv,SN Ic-BL,0.03696
-ZTF20aaytqhd,Varstar,-1.0
-ZTF20aazkxcw,SN Ia,0.035
-ZTF20aazgtmp,SN Ia,0.0237
-ZTF20aayvubx,SN Ia,0.041
-ZTF20aayxcyn,SN Ia,0.13
-ZTF20aazdsty,SN Ia,0.07
-ZTF20aayxkqy,SN Ia,0.131
-ZTF20aazcnrv,SN II,0.022836
-ZTF20aayxldg,SN Ia,0.047369
-ZTF20aayvymx,SN Ia,0.074
-ZTF18aavsilo,SN Ia,0.04592
-ZTF20aaurmtf,SN Ia,0.04
-ZTF20aayuyak,SN Ia,0.0304
-ZTF20aayvmyh,SN IIn,0.065
-ZTF20aayprqz,SLSN-I,0.06
-ZTF20aayubpi,SN Ia,0.02
-ZTF20aayjxdv,SN Ia,0.058
-ZTF20aaybvye,SN Ia,0.07
-ZTF20abgbuly,SN IIb,0.01709
-ZTF20aaynrrh,SN II,0.00502
-ZTF19aagkfvq,SN Ia,0.05
-ZTF20aaybqae,SN Ia,0.094
-ZTF20aayknlo,SN Ia,0.01993
-ZTF20aaxicpu,SN Ia,0.07207
-ZTF20aayjyhp,SN Ia,0.071
-ZTF20aazewcq,SN Ia,0.0515
-ZTF20aayeims,SN Ia,0.061539
-ZTF18aangpkx,SN Ia,0.0699
-ZTF20aaxuwuh,SN Ia,0.0703
-ZTF20aazewhe,SN Ia,0.086
-ZTF20aaxndzx,SN Ia,0.088
-ZTF20aaxxepr,SN Ia,0.08
-ZTF20ablqacl,SN II,0.012699
-ZTF20aaydgsu,SN Ia,0.05
-ZTF20aaxunbm,SN II,0.05465
-ZTF20aaxfzhw,SN Ia,0.087
-ZTF20aaxmtxg,SN Ia,0.100215
-ZTF20aaxxcms,SN Ia,0.074
-ZTF18aahatvc,SN Ia-91T-like,0.0778
-ZTF20aaxvzja,SN Ib,0.033
-ZTF20aaxxhib,SN Ia,0.07
-ZTF20aaxccrm,SN Ia,0.09
-ZTF20aavynba,SN Ia,0.122
-ZTF20aawadcp,SN Ia,0.034
-ZTF20aaxablt,SN Ia,0.064
-ZTF20aaxahpk,SN Ia,0.07045
-ZTF20aawqywr,SN Ia,0.0499
-ZTF20aaxhzhc,SN IIb,0.037
-ZTF20aayknbc,SN II,0.0467
-ZTF20aawxsit,SN Ia-pec,0.037
-ZTF20aawwcgb,SN Ia,0.041742
-ZTF20aawcjrx,SN Ia,0.0508
-ZTF20aawdjlp,SN Ia,0.03
-ZTF20aawoojh,SN Ia,0.05
-ZTF20aavnnzx,SN Ia,0.06
-ZTF20aawmlfq,SN Ia,0.031795
-ZTF20aawjbsf,SN II,0.0222
-ZTF20aawgrcu,SN II,0.042
-ZTF20aavvaup,SN II,0.032668
-ZTF20aavvzlw,SN Ia,0.07
-ZTF20aavzlxm,SN Ia,0.0736
-ZTF20aavofki,SN Ia,0.08
-ZTF20aavpyxo,SN II,0.061316
-ZTF20aavrkxw,SN Ia,0.11
-ZTF20aavtdxj,SN Ia,0.09
-ZTF20aavqfli,SN Ia,0.0664
-ZTF20aavcvrm,SN Ic-BL,0.055
-ZTF20aavrloz,SN Ia,0.04332
-ZTF20aavnnat,SN Ia,0.032206
-ZTF20aavrukn,SN Ia,0.084
-ZTF20aavptjf,SN II,0.03
-ZTF20aavpnqt,SN Ia,0.064
-ZTF20aavnnqo,SN Ia,0.03683
-ZTF20aavdgib,SN Ia,0.1
-ZTF20aavfwdo,SN Ia,0.0678
-ZTF20aavrzha,SN Ia,0.019043
-ZTF18aawpwlf,SN II,0.02344
-ZTF20aavpnlv,SN Ia,0.005838
-ZTF20aavvjie,SN Ia,0.065
-ZTF20aavnnkm,SN Ia,0.055
-ZTF20aavhqvo,SN Ia,0.07
-ZTF20aauzoca,SN Ia,0.07
-ZTF20aawihxz,SN Ib,0.018199
-ZTF20aavhyel,SN Ic,0.02524
-ZTF20abaslyx,SN II,0.03
-ZTF20aavgcnu,SN Ic,0.017749
-ZTF18aakkrjm,SN Ib,0.02091
-ZTF20aaurknv,SN Ia,0.05728
-ZTF20aavdcxo,SN II,0.06
-ZTF18aarikzk,SN Ia,0.0563
-ZTF20aaurzce,SN Ia,0.02744
-ZTF20aauwjla,SN Ia,0.065
-ZTF20aauwjmw,SN Ia,0.0305
-ZTF20aauvmix,SN Ia,0.1
-ZTF20aaurhdm,CV,-1.0
-ZTF20aauwhyi,SN Ia,0.0732
-ZTF20aaurjbj,SN II,0.043
-ZTF20aaurfhs,SN II,0.0352
-ZTF20aausahr,SN II,0.04316
-ZTF20aautzig,SN Ia,0.0649
-ZTF20aautscv,SN Ia,0.0592
-ZTF20aawijco,SN IIn,0.024854
-ZTF20aavhire,SN Ia,0.0374
-ZTF20aauwrod,SN Ia,0.1083
-ZTF20aaurexl,SN Ic-BL,0.07
-ZTF20aaurfwa,SN IIn,0.0935
-ZTF20aautzif,SN Ia,0.03789
-ZTF20aaurfcm,SN Ia,0.09
-ZTF20aauonld,SN Ia,0.053
-ZTF18aaoxrup,SN Ia,0.06
-ZTF20aauwhfa,SN Ic,0.012
-ZTF20aausxam,SN Ia,0.071
-ZTF20aavhixe,SN IIn,0.051
-ZTF20aaulzvl,SN Ia,0.075
-ZTF20aauuiri,SN Ia,0.05
-ZTF20aawdwch,LRN,0.002248
-ZTF20aaurgib,SN II,0.025414
-ZTF20aaurhio,SN Ia,0.08
-ZTF20aauvbez,SN II,0.04106
-ZTF20aayxdse,SN II,0.0865
-ZTF20aauvjws,SN II,0.0299
-ZTF20aauyhea,SN Ia,0.051
-ZTF20aawxpru,SN II,0.028396
-ZTF20aaurucm,SN Ia,0.09
-ZTF20aauqoim,SN Ia,0.07
-ZTF20aauqrpe,SN Ia,0.08
-ZTF20aauoktk,SN II,0.063
-ZTF20aauqhka,SN II,0.038671
-ZTF18aajivpr,SN Ia,0.0515
-ZTF20aawiicr,SN II,0.01893
-ZTF20aaupolv,SN Ia,0.05
-ZTF20aauooag,SN Ia,0.075
-ZTF20aauompx,SN II,0.02
-ZTF20aauomaf,SN Ia,0.0852
-ZTF20aauowam,SN Ia,0.064
-ZTF20aauombk,SN Ia,0.0389
-ZTF20aaullwp,SN Ia,0.024
-ZTF20aaukudw,SN Ia,0.05
-ZTF20aaummmc,SN Ia,0.042446
-ZTF20aaumlmu,SN II,0.04331
-ZTF20aaunfpj,SN II,0.007515
-ZTF20aatzhhl,SN IIb,0.007522
-ZTF18aakiwbs,SN Ia,0.066
-ZTF20aatxnxq,SN Ia,0.065
-ZTF20aatvzmm,SN Ia,0.03151
-ZTF20aatqief,SN Ia,0.08
-ZTF20aatppnn,SN Ia,0.07182
-ZTF18aarlpzd,SN Ib,0.01
-ZTF20aattrld,SN Ia,0.06845
-ZTF20aatzwgk,SN Ia,0.01438
-ZTF20aatulug,SN Ia,0.097
-ZTF20aatqgeo,SN II,0.0319
-ZTF20aattotq,SN Ia,0.014397
-ZTF20aattoch,SN II,0.0263
-ZTF20aaullwz,SN II,0.02723
-ZTF20aattqbi,SN Ia,0.065
-ZTF20aattqnm,SN Ia,0.0845
-ZTF20aatqidk,SN II,0.0339
-ZTF19aaapljd,AGN,0.096
-ZTF20aatuqps,SN Ia,0.08561
-ZTF20aatqesi,SN II,0.04106
-ZTF20aatxryt,SN Ia,0.03
-ZTF20aatpxkq,SN Ia,0.0687
-ZTF20aatpoef,SN Ia,0.0711
-ZTF20aatpoeh,SN Ia,0.07
-ZTF20aatzfin,SN Ia,0.0668
-ZTF20aatpwaf,SN Ia,0.09
-ZTF20aattyuz,SLSN-I,0.133
-ZTF20aattqcv,SN Ia,0.06
-ZTF20aattriw,SN Ia,0.0581
-ZTF20aatpqps,SN Ia,0.038883
-ZTF20aatwonv,SN Ia,-1.0
-ZTF18aaisybp,SN Ic,0.062312
-ZTF20aauoipy,SN II,0.025
-ZTF20aatuwib,SN Ia,0.048
-ZTF20aatwisu,SN II,0.0338
-ZTF20aatvdwr,SN IIP,0.036
-ZTF20aawfnro,SN Ia,0.027
-ZTF20aattqle,SN II,0.04543
-ZTF20aattsxa,SN Ia-91T-like,0.03076
-ZTF20aattrkw,SN II,0.011
-ZTF20aasvmbk,SN Ib/c,0.04043
-ZTF20aaszzez,SN Ia,0.054
-ZTF19acmbhvv,SN Ia,0.062406
-ZTF20aaswzdm,SN IIn,0.033
-ZTF20aasfaxj,SN Ia,0.05
-ZTF20aasfhia,SN II,0.05
-ZTF20aasitrr,SN Ia,0.021158
-ZTF20aasijew,SN II,0.030074
-ZTF20aasfdfr,SN Ia,0.055238
-ZTF20aasapko,SN Ia,0.07
-ZTF20aascwar,SN Ia,0.048
-ZTF20aascvvo,SN II,0.014
-ZTF20aasiwcu,SN Ia,0.055
-ZTF20aasmdec,SN Ia,0.013
-ZTF20aasctts,SN Ia-91T-like,0.04567
-ZTF20aasivxr,SN Ia,0.021635
-ZTF20aartnkv,SN IIn,0.06954
-ZTF20aarucek,SN Ia,0.07
-ZTF20aaqrddh,SN Ia,0.0799
-ZTF20aarkdoj,SN Ia,0.07
-ZTF20aasmueu,SN Ia,0.023476
-ZTF20aauhbvu,SN IIP,0.0048
-ZTF20aarcpql,SN Ia,0.0474
-ZTF18aahshhp,SN Ia,0.059594
-ZTF20aaqgmji,SN Ia,0.08
-ZTF20aarbget,SN Ia,0.0225
-ZTF20aarblcr,SN II,0.04106
-ZTF20aarbktd,SN II,0.03129
-ZTF20aaqtebg,SN Ia,0.0355
-ZTF20aaqhtcd,SN Ia,0.06
-ZTF20aaqvzko,SN Ia,0.04
-ZTF20aaqtlwo,SN Ic,0.0336
-ZTF20aaqshoz,SN Ia,0.04417
-ZTF20aaqpxtm,SN Ia,0.052328
-ZTF20aapnqbw,SN Ib,0.04106
-ZTF20aaosuzy,SN Ia,0.11
-ZTF20aapadwx,SN Ia,0.0375
-ZTF20aapcmur,SN Ia,0.04218
-ZTF20aaogrqe,SN Ia,0.09
-ZTF20aaoldej,SN II,0.025781
-ZTF20aaosoct,SN Ia-91T-like,0.059
-ZTF20aapycrh,SN II,0.015
-ZTF20aapjiwl,SN II,0.042335
-ZTF20aaowuim,SN Ia,0.0267
-ZTF18abjijwk,SN Ia,0.08
-ZTF20aaoxbju,SN II,0.06381
-ZTF20aaormnl,SN Ia,0.09
-ZTF20aapchqy,SN II,0.003883
-ZTF20aanvsds,SN Ia,0.075
-ZTF20aaophpu,SN II,0.017
-ZTF20aaoojli,SN Ia,0.051066
-ZTF20aaomtwl,SN Ia,0.03
-ZTF20aanyxvu,SN Ia,0.04
-ZTF20aammbvq,SN IIn,0.025
-ZTF19aaklqod,SN Ia,0.03
-ZTF20aaodkvl,SN Ia,0.026
-ZTF20aamknna,SN Ia,0.077
-ZTF20aansktb,SN Ia,0.1
-ZTF20aanvqbi,SN II,0.03276
-ZTF20aanvpzo,SN Ia,0.03705
-ZTF20aamntsk,SN Ia,0.080155
-ZTF20aaomeaa,SN Ia,0.03
-ZTF20aanvliy,SN Ia,0.083
-ZTF20aamttmo,SN Ia,0.05
-ZTF20aamttiw,SN II,0.0449
-ZTF20aandwrl,SN Ia,0.09815
-ZTF20aamqmhj,SN Ic,0.04759
-ZTF20aamuqwn,SN Ia,0.015007
-ZTF20aamenwg,SN Ia,0.084
-ZTF20aamttni,SN Ia,0.05351
-ZTF20aanafwi,SN Ia,0.08
-ZTF20aamxuwl,SN II,0.037
-ZTF20aamkyyx,SN Ia,0.0497
-ZTF20aanadof,SN IIP,0.02503
-ZTF20aamerev,SN Ia,0.09
-ZTF20aamamnp,SN II,0.05
-ZTF20aamlmec,SN II,0.034424
-ZTF20aamsjws,SN Ia,0.03023
-ZTF20aamqslk,SN Ia,0.0864
-ZTF20aamoaim,SN II,0.0483
-ZTF20aamnvij,SN Ia,0.07
-ZTF20aammtwx,SN Ic,0.027189
-ZTF20aammdfk,SN IIn,0.0973
-ZTF20aammnnm,SN Ia,0.11
-ZTF20aamknxn,SN Ia,0.0892
-ZTF20aamdsjv,SN Ia,0.0609
-ZTF20aammbrw,SN Ia,0.06297
-ZTF20aammhli,SN Ia,0.015
-ZTF20aamgdkb,SN Ia,0.075
-ZTF18aaybfsd,SN Ia,0.04
-ZTF20aambbfn,SN Ia,0.0439
-ZTF20aamhocj,SN Ia,0.07
-ZTF20aamdyal,SN Ia,0.11
-ZTF20aamdqiz,SN Ia,0.086
-ZTF20aamaqak,SN Ia,0.0726
-ZTF20aamfpcj,SN Ia-91T-like,0.0885
-ZTF20aalrksw,SN Ia,0.03
-ZTF20aamazzl,SN II,0.055511
-ZTF20aalxlis,SN Ic-BL,0.025235
-ZTF20aaljgcp,SN Ia,0.08
-ZTF20aalyeut,SN Ia,0.0864
-ZTF18abhgrff,SN Ia-91T-like,0.102
-ZTF18aaaibml,SN II,0.0348
-ZTF20aajbsxt,SN Ia,0.07
-ZTF20aajjxwc,SN Ia,0.04
-ZTF20aaivego,SN Ia,0.09
-ZTF20aalrptc,SN Ia,0.054
-ZTF20aalmeaj,SN Ia,0.046652
-ZTF20aalejtl,SN Ia,0.0629
-ZTF20aalkfui,SN Ia,0.018173
-ZTF20aalrqbu,SN Ibn,0.068
-ZTF20aaknzba,SN Ia,0.11
-ZTF20aamdhut,SN Ia,0.04
-ZTF20aalbjpf,SN Ia,0.04
-ZTF20aalbjqh,SN Ia,0.04153
-ZTF20aakyoez,SN Ia,0.041
-ZTF20aalcyih,SN Ib,0.02723
-ZTF20aalbtwh,SN II,0.037
-ZTF20aajvcwd,SN Ia,0.0664
-ZTF20aakfofq,SN Ia,0.08
-ZTF18adcdcrd,SN Ia,0.04987
-ZTF20aakodiq,SN Ia-91T-like,0.04594
-ZTF20aahzyep,SN Ia,0.1
-ZTF20aahgmud,SN Ia,0.117
-ZTF18aavrmlf,SN Ia-91T-like,0.113
-ZTF20aakbtyz,SN Ia,0.09
-ZTF20aairvsi,SN Ia,0.07
-ZTF18aadzfso,SN Ia,0.05
-ZTF20aanaeev,SN Ia,0.02723
-ZTF20aahtjat,SN Ia,0.06
-ZTF20aajvyja,SN IIn,0.099
-ZTF20aaifyvz,SN Ia,0.06
-ZTF19aawmcjt,SN II,0.041
-ZTF20aaifkyj,SN Ia,0.0732
-ZTF20aahirqq,SN Ia,0.0663
-ZTF20aajcdad,SN Ib,0.018
-ZTF20aaiihky,SN Ia,0.075
-ZTF20aahjymt,SN Ia,0.07
-ZTF20aahtral,SN Ia,0.09
-ZTF20aaiovoy,SN II,0.028
-ZTF20aaichor,SN Ia,0.14
-ZTF20aaiqiti,SN Ic-BL,0.025
-ZTF20aanadlu,SN Ia,0.017
-ZTF20aahggbm,SN Ia,0.1
-ZTF20aahkgcz,SN Ia,0.04113
-ZTF20aahptds,SN Ia,0.07656
-ZTF20aaifzfk,SN II,0.03181
-ZTF20aaifyrs,SN Ia,0.03386
-ZTF20aaifyab,SN Ia,0.055
-ZTF20aaiawlj,SN Ia,0.0367
-ZTF20aaifybu,SLSN-I,0.25
-ZTF20aaiftgi,SN Ic,0.033703
-ZTF20aaideho,SN Ia,0.093
-ZTF20aahzyml,SN Ia,0.08
-ZTF20aahqcup,SN Ia,0.1
-ZTF20aahpwym,SN Ia,0.055
-ZTF20aahqbib,SN Ia,0.0555
-ZTF20aahpxzz,SN Ia,0.0528
-ZTF20aahapsq,SN Ia,0.056
-ZTF20aahirkk,SN Ia-91T-like,0.044
-ZTF20aahidaa,SN Ia,0.068
-ZTF20aahqbsr,SN II,0.022055
-ZTF20aaeujsk,SN Ia,0.067
-ZTF20aaghoqz,SN Ia,0.0761
-ZTF20aaieyup,SN II,0.012255
-ZTF20aaidnyk,SN Ia,0.07
-ZTF20aahirfz,SN IIP,0.01794
-ZTF20aahgejq,SN IIb,0.04635
-ZTF20aahfobk,SN Ia,0.033
-ZTF20aagzqsb,SN Ia,0.07
-ZTF20aagzzbi,SN Ia,0.085
-ZTF20aahbfmf,SLSN-I,0.2485
-ZTF20aagyuvy,SN Ia,0.044794
-ZTF20aahdwze,SN Ia,0.049
-ZTF20aahbamv,SN II,0.0452
-ZTF20aahaxjl,SN Ia,0.045
-ZTF20aaifyfx,SN Ia,0.05997
-ZTF20aahqbun,SN II,0.028
-ZTF20aaghnxd,SN Ia,0.07
-ZTF20aafzcab,SN Ia,0.08
-ZTF20aaifsri,SN Ia,0.07
-ZTF20aagzchj,SN Ia,0.05
-ZTF20aaieyuw,SN II,0.025
-ZTF20aaghlkv,SN Ia,0.02
-ZTF20aagloch,SN Ia,0.0483
-ZTF20aagvvnr,SN Ia,0.07
-ZTF20aafwbcs,SN Ia,0.07
-ZTF20aagmrid,SN Ia,0.07712
-ZTF20aahqabk,SN Ia,0.0733
-ZTF20aagqrbx,CV,0.0
-ZTF20aagnbpw,SN Ia,0.052441
-ZTF20aaglivt,SN Ia,0.066658
-ZTF20aagjpmt,SN II,0.015
-ZTF20aagnbes,SN II,0.022182
-ZTF20aafcnem,SN Ia,0.04
-ZTF20aaflaug,SN Ia,0.05065
-ZTF20aafrihv,SN Ia,0.064
-ZTF19abeizmo,SN Ia,0.065
-ZTF17aadlxmv,SN Ia,0.062
-ZTF20aafrjqw,SN Ia,0.088227
-ZTF20aafvzhu,SN Ia,0.05
-ZTF20aaghpdc,SN Ia,0.086
-ZTF20aagfjlj,SN Ia,0.045
-ZTF20aafjjqj,SN Ia,0.04
-ZTF20aaflcny,SN II,0.033
-ZTF20aafxftu,SN Ia,0.07
-ZTF20aaekbdr,SN II,0.0458
-ZTF20aaffgwg,SN Ia,0.039811
-ZTF20aaezaxk,SN Ia,0.07
-ZTF20aafdglk,SN Ia,0.04
-ZTF20aadvaoi,SN Ia,0.09
-ZTF20aaemtgw,SN Ia,0.03157
-ZTF20aafsnpp,SN Ia,0.0445
-ZTF20aafmdzj,SN Ic-BL,0.0557
-ZTF20aadyyvk,SN IIn,0.0675
-ZTF20aafgbrf,SN Ia,0.03
-ZTF20aafdeza,SN Ia,0.064
-ZTF20aafciit,SN Ia,0.08
-ZTF20aaezizk,SN Ia,0.094
-ZTF20aafcmfi,SN Ia,0.086
-ZTF20aafclqz,SN II,0.0335
-ZTF20aafclxb,SN II,0.0087
-ZTF20aafcjln,SN Ia,0.0203
-ZTF20aafckit,SN II,0.031
-ZTF20aaeuxqk,SN Ia,0.0
-ZTF20aaerqjd,SN Ia,0.09
-ZTF20aadvbni,SN Ia,0.106
-ZTF20aafcgca,SN Ia,0.08
-ZTF20aadxcsc,SN Ia,0.067
-ZTF20aaeszsm,SN Ia,0.067
-ZTF20aadvunl,SN Ia,0.06
-ZTF20aaevbvv,SN Ia,0.06
-ZTF20aaetvkh,SN Ia,0.061
-ZTF20aaetrle,SN II,0.02
-ZTF20aadtarr,SN IIn,0.077
-ZTF20aaesewy,SN Ia,0.031789
-ZTF20aadxrvb,SN IIn,0.081
-ZTF20aaepsqa,SN Ia,0.04717
-ZTF20aaerxsd,SN Ia,0.0533
-ZTF20aaeoqqd,SN II,0.05
-ZTF20aadxvfj,SN Ia,0.095
-ZTF20aabcnkx,SN Ia-91T-like,0.097
-ZTF20aaeopvv,SN Ia,0.06
-ZTF20aabbvcx,SN Ia,0.077
-ZTF20aaelulu,SN Ic,0.0052
-ZTF20aaekkuv,SN Ic,0.02
-ZTF20aaawmxq,SN Ia,0.09
-ZTF20aadyukn,SN Ia,0.06
-ZTF20aadcbvz,SLSN-II,0.1867
-ZTF20aacbtgq,SN Ia,0.0629
-ZTF20aacdfyv,SN Ic,0.0482
-ZTF20aacwxut,SN Ia,0.08
-ZTF20aadcdzj,SN Ia,0.1
-ZTF20aabqisb,SN Ia,0.0513
-ZTF20aabcemq,SN IIn,0.096
-ZTF20aaaweke,SN IIn,0.11
-ZTF20aadfyjl,SN Ia,0.049
-ZTF20aaaxrad,SN Ia,0.065
-ZTF20aaavvlv,SN Ia,0.0821
-ZTF20aaazjwc,SN II,0.0422
-ZTF19adbsfpf,SN Ia,0.059
-ZTF19adbricc,SN Ia,0.09
-ZTF20aadcitq,SN Ia,0.080283
-ZTF19aczkjxn,SN II,0.03333
-ZTF20aacevxq,SN Ia,0.020888
-ZTF20aacbyec,SN IIn,0.0362
-ZTF20aabqdbo,SN Ia,0.025584
-ZTF20aabrydh,SN Ia,0.058
-ZTF20aadchdd,SN II,0.04
-ZTF20aaayaet,SN Ia,0.08557
-ZTF18abquyqj,SN Ia,0.019
-ZTF19adcbpcj,SN Ia,0.074
-ZTF19adbnfne,SN Ia,0.06
-ZTF20aabqwtz,SN II,0.0272
-ZTF20aabqjht,SN Ia,0.08
-ZTF20aabqiti,SN Ia,0.05
-ZTF20aabqiiy,SN Ia,0.08
-ZTF20aabqiav,SN II,0.05
-ZTF20aabqbxm,SN Iax[02cx-like],0.047977
-ZTF20aabcouv,SN Ia,0.048
-ZTF20aabpeiq,CV,0.0
-ZTF20aaactgu,SN Ia,0.065
-ZTF20aaaxacu,SN Ia,0.0221
-ZTF19adcdtyy,SN Ia,0.072
-ZTF19adcdtkw,SN Ia,0.082
-ZTF19adccrca,SN II,0.045
-ZTF19adcfsoc,SLSN-II,0.259
-ZTF19adcfsdr,SN Ia,0.0748
-ZTF19adcdgca,SN Ia,0.0468
-ZTF18aaizerg,SN Ia,0.0685
-ZTF19adcdzjm,SN Ia,0.0811
-ZTF19adcdrng,SN Ia,0.08
-ZTF19adcbxkw,SN Ia,0.057
-ZTF19adbpulv,SN Ia,0.031388
-ZTF20aabconi,SN II,0.043
-ZTF20aaaxerd,SN Ia,0.068
-ZTF20aaerxne,SN Ib,0.01042
-ZTF19adbnlki,SN Ia,0.039
-ZTF19adbmewx,SN Ia,0.09
-ZTF19adcfsad,SN Ib/c,0.02547
-ZTF20aabqkxs,SN Ib,0.005
-ZTF19adcecwu,SN Ia,0.009
-ZTF20aaaxghv,SN Ib,0.04
-ZTF20aabqamf,SN Ia,0.046
-ZTF20aadcaop,SN Ia,0.06
-ZTF19adaylqy,SN Ia,0.06
-ZTF19adaxzax,SN II,0.03
-ZTF19abxequc,SLSN-II,0.116
-ZTF19adavzew,SN II,0.04
-ZTF19acxxwiz,SN Ia-91T-like,0.086
-ZTF19acyqdxa,SN Ia,0.095
-ZTF19aczrmvs,SN Ia,0.08
-ZTF19aczeomw,SN Ia,0.035
-ZTF19adafqoe,SN Ia,0.09
-ZTF19adajqcq,SN Ia,0.05
-ZTF19adajqwl,SN Ia,0.07
-ZTF19acyjjni,SN IIb,0.026
-ZTF19adajivt,SN Ia,0.095
-ZTF18aaqvuhl,SN Ia,0.0311
-ZTF19acytcoi,SN Ia,0.04
-ZTF19acygjgx,SN Ia,0.069
-ZTF19aczlqcd,SN,0.0
-ZTF19aczllns,SN Ia,0.075
-ZTF19aczlldp,SN II,0.0275
-ZTF19acyogrm,SN Ic,0.02
-ZTF19aczjytt,SN II,0.018523
-ZTF19aczjsqn,SN Ia,0.089
-ZTF19acyqwlm,SN Ia,0.03
-ZTF19acxyucu,SN Ia,0.081
-ZTF19acykqyr,SN Ia,0.06
-ZTF19acytidb,SN Ia,0.03056
-ZTF19acyiqnw,SN Ia,0.033
-ZTF19acytcsg,SN II,0.0319
-ZTF19acyplkt,SN IIP,0.031
-ZTF19acyogvo,SN Ia,0.05
-ZTF19acxyumq,SN Ia,0.04
-ZTF19acxysob,SN Ia,0.053
-ZTF19acxyfkf,SN Ia,0.04
-ZTF19acynije,SN Ia,0.02
-ZTF19acyldun,SN IIn,0.057273
-ZTF19acymzwh,SN Ia,0.033
-ZTF19acyndpl,SN Ia,0.0552
-ZTF19acxqaot,SN IIn,0.04588
-ZTF19acykjcw,SN Ia,0.03178
-ZTF19acxxxec,SN Ic,0.067
-ZTF19acyggzu,SN Ic,0.044
-ZTF19acyjviz,SN IIn,0.0216
-ZTF19acyfakk,SN Ia,0.039978
-ZTF19acygjmg,SN Ia,0.06
-ZTF19acyitga,SN Ia,0.0708
-ZTF19acyfkbf,SN Ia,0.05
-ZTF19acyjysk,SN IIn,0.06
-ZTF19acykaae,SN IIn,0.088
-ZTF19acvdyyn,SN Ia-91T-like,0.023
-ZTF19acxmiyh,SN Ia,0.05
-ZTF19acylgic,SN Ia,0.039
-ZTF19acxrihd,Nova,0.000177
-ZTF18abakunn,SN Ia,0.0567
-ZTF19acyltbi,SN Ia,0.04
-ZTF19acxldra,SN Ia,0.08
-ZTF19acxndsk,SN Ia,0.04788
-ZTF19acxowrr,SN II,0.050575
-ZTF19acxmpnz,SN Ib/c,0.0265
-ZTF19acxpkpv,SN Ia,0.07
-ZTF19acxolhu,SN Ia,0.07
-ZTF19acxgxcu,SN Ia,0.038
-ZTF19acxphhl,SN Ia,0.07322
-ZTF19acxlylb,SN Ia,0.05
-ZTF19acuybzx,SN Ia,0.03
-ZTF19acxnemy,SN Ia,0.07
-ZTF19acyfkzd,SN Ia,0.066
-ZTF19abtcapa,SN Ia,0.07
-ZTF19acpmbvd,LBV,0.00659
-ZTF19acxhkvc,SN Ia,0.06
-ZTF19acxgwvo,SN II,0.01459
-ZTF19acwrujg,SN Ia,0.06
-ZTF19acvwllm,SN Ia,0.08
-ZTF19acwrqtv,SN Ia,0.06
-ZTF19acvgjme,SN Ia,0.07
-ZTF19acuyvtl,SN Ia,0.086
-ZTF19acvrjzd,SN II,0.025
-ZTF19acxmnkc,SN IIn,0.0395
-ZTF19actfxcd,SN IIP,0.0401
-ZTF19acwrrvg,SN II,0.027
-ZTF19acuymeu,SN Ia,0.04
-ZTF19acxpuql,SN Ib,0.028
-ZTF19acxovyh,SN Ia,0.033
-ZTF19aculczm,SN Ia,0.068
-ZTF19acanzwg,SN II,0.047
-ZTF19acvdzfq,SN Ia,0.0236
-ZTF19acvmcdd,SN II,0.04
-ZTF19acvijnj,SN Ia,0.05
-ZTF19acvlycr,SN Ia,0.083
-ZTF19acrichx,SN Ia,0.01391
-ZTF19aczjyre,SN Ia,0.02
-ZTF19aculgvn,SN Ia,0.065
-ZTF19aculypc,SN Ia,0.056436
-ZTF19acudiph,SN Ia,0.06
-ZTF19acvrigb,SN Ia,0.02805
-ZTF19acukucu,SN IIn,0.064
-ZTF19acngsnc,SN Ia,0.106
-ZTF19aczjyuf,SN Ia,0.012872
-ZTF19acvtrxj,SN II,0.025017
-ZTF19acszmgx,SN II,0.042
-ZTF19actzjrf,SN Ia,0.092
-ZTF19actnyae,SN II,0.0315
-ZTF19actnwtn,SN II,0.025
-ZTF19actldas,SN Ia,0.038
-ZTF19acspeuw,TDE,0.089
-ZTF19actfqhp,SN Ia,0.0458
-ZTF19actabny,SN IIn,0.159
-ZTF19acshkft,SN Ia,0.083
-ZTF19acspfcb,SN Ia,0.0714
-ZTF19acqypso,SN Ia,0.07
-ZTF19acrwzqs,SN Ia,0.104
-ZTF19acryurj,SN II,0.022035
-ZTF19acrwvao,SN II,0.04
-ZTF19acruqph,SN Ia,0.08
-ZTF19acmyacs,SN II,0.012
-ZTF19acbwejj,SN II,0.01434
-ZTF19acruaaa,SN Ia,0.02592
-ZTF19acgjpgh,SLSN-I,0.0635
-ZTF19acrdqej,SN Ia,0.044
-ZTF19acpgaet,SN Ia,0.066
-ZTF19acrcxri,SN II,0.0274
-ZTF19acmgyka,SN Ia,0.059
-ZTF19acrbyzj,SN Ia,0.02
-ZTF19acqxoll,SN Ia,0.099
-ZTF19acwbhih,SN II,0.025
-ZTF19acqprad,Nova,0.00017
-ZTF19acokufi,SN Ia,0.084
-ZTF19acpmuwu,SN Ia,0.066
-ZTF19acoaoty,SN Ia,0.08
-ZTF19acpfnth,SN Ia,0.0511
-ZTF19acklbjr,SN Ia,0.11
-ZTF19acmdpyr,SN Ia,0.045
-ZTF19acordoi,SN Ia-91T-like,0.089
-ZTF19acmywjc,SN Ia,0.065
-ZTF19acmwszk,SLSN-II,0.119
-ZTF19acmelor,SN Ib,0.026612
-ZTF19acojxzo,SN Ia,0.062283
-ZTF19acnkeji,SN Ia,0.04
-ZTF19acokzjy,SN Ia,0.065202
-ZTF19acojuzv,SN Ia,0.04
-ZTF19ackjtfm,SN II,0.04323
-ZTF19acnzkph,SN Ia,0.017892
-ZTF19acngsnb,SN Ia,0.11
-ZTF19acoaiub,LBV,0.006
-ZTF19acnfjyw,SN Ia,0.035
-ZTF19acnjwgm,SN Ia,0.034
-ZTF19acjwqvo,SN Ia,0.049
-ZTF19acjifxp,SN Ia,0.0136
-ZTF19aclofmz,SN Ia,0.031
-ZTF19ackjene,SN IIb,0.0435
-ZTF19acmwkul,SN Ia,0.0744
-ZTF19achtifr,SN II,0.02
-ZTF19acmwfli,SN II,0.028
-ZTF19aclyezb,SN Ia,0.078
-ZTF19ackjsys,SN Ia,0.022
-ZTF19aclthzj,SN Ia,0.1
-ZTF19acmvrsw,SN Ia,0.042
-ZTF19acmbiad,SN Ia,0.072
-ZTF19aclobbu,SN II,0.0121
-ZTF19acmbekd,SN Ibn,0.05
-ZTF19achticg,SN Ia,0.026
-ZTF19aclljyq,SN Ia,0.079
-ZTF19acjwdnu,SN II,0.17
-ZTF19acigkma,SN Ia-91T-like,0.1
-ZTF19achajnc,SN Ia,0.09
-ZTF19acjuomg,SN Ia,0.106
-ZTF19ackjszs,SN Ib,0.03
-ZTF19acjerdh,SN Ia,0.04
-ZTF19acjjwsy,SN Ia,0.104
-ZTF19acjtpqd,SN Ic,0.01717
-ZTF19acjtkha,SN Ia,0.032
-ZTF19achejoc,SN Ia,0.05
-ZTF19acjdufa,SN Ia,0.08
-ZTF19acjdwqv,SN Ia,0.049
-ZTF19acifuyf,SN Ia,0.038
-ZTF19acitnck,SN Ia,0.04
-ZTF19ackjjwf,SN Ib,0.016198
-ZTF19achetvw,SN Ia,0.043
-ZTF19acihlft,SN Ia,0.02
-ZTF19acihgng,SN Ia,0.05
-ZTF19acihfxz,SN Ia,0.07
-ZTF19acigqdd,SN Ia-91T-like,0.113
-ZTF19acignlo,SN II,0.0476
-ZTF19acgjojy,SN Ia,0.08
-ZTF19acgjohb,SN Ia,0.074
-ZTF19acgxbwo,SN Ia,0.05
-ZTF19acgphsf,SN Ia,0.02433
-ZTF19acgpqxt,SN Ia,0.09
-ZTF19acyndbj,SN Ia,0.022
-ZTF19acgqjln,SN Ia,0.05
-ZTF19acgemqj,SN Ia-91T-like,0.061
-ZTF19achtewn,SN Ia,0.1
-ZTF19acgrbeb,SN Ia,0.064
-ZTF19achaspq,SN Ia,0.0155
-ZTF19acgzzea,SN IIP,0.03
-ZTF19achagst,SN Ia,0.068
-ZTF19acgbzam,SN Ia,0.07
-ZTF19acchtyp,SN Ia,0.06
-ZTF19acgmkrt,SN Ia,0.0704
-ZTF19acfwynw,SLSN-I,0.213
-ZTF19acgbkzr,SN II,0.025514
-ZTF19acgjosf,SN Ia,0.07049
-ZTF19acgjnis,SN Ia,0.038
-ZTF19acgfvvi,SN II,0.045
-ZTF19acgcdas,SN Ia,0.07
-ZTF19acfsqjx,SN Ia,0.055
-ZTF19acgemzm,SN Ia,0.08
-ZTF19acftude,SN IIn,0.04
-ZTF19acgjnfz,SN Ia,0.05
-ZTF19aceckmm,SN II,0.03286
-ZTF19acdsqir,SN Ia,-1.0
-ZTF19acgfhfd,Nova,0.00017
-ZTF19acgeabh,SN Ia,0.08
-ZTF19acftfst,SN Ia,0.104
-ZTF19acfmwlh,SN Ia,0.05
-ZTF19acgaxej,SN Ia,0.07
-ZTF19achahea,SN Ia,0.045347
-ZTF19acfxbki,SN Ia,0.058
-ZTF19acfsteg,Nova,0.000178
-ZTF19acbonaa,SLSN-I,0.1178
-ZTF19acewuwn,SN II,0.027
-ZTF19acfthre,SN Ia,0.04
-ZTF19acftfav,SN IIP,0.013
-ZTF18acfhmdg,M dwarf,-1.0
-ZTF19acewotx,SN Ia,0.0764
-ZTF19aceuacu,SN Ia,0.098
-ZTF19acdxlns,SN Ia,0.069
-ZTF19acduqvr,SN Ia,0.083
-ZTF19acecluy,SN II,0.01
-ZTF19acftaml,SN Ia,0.1
-ZTF19acgonwy,SN Ia,0.073
-ZTF19acexijn,SN Ia,0.02
-ZTF19acfejbj,SN II,0.010918
-ZTF19acenveq,SN Ia,0.081
-ZTF19acetxvq,SN Ia,0.063
-ZTF19acekreh,SN Ia,0.03489
-ZTF19aceshib,SN II,0.048
-ZTF19aceckht,SN IIP,0.02
-ZTF19aceckdq,SN II,0.0246
-ZTF19aceqlxc,SN IIn,0.06
-ZTF19acennqf,SN Ia,0.050055
-ZTF19acctpgd,SN Ia,0.09
-ZTF19acekbyz,SN Ia,0.062
-ZTF19acdubmt,SN Ia,0.092
-ZTF19acdtpow,SN Ia,0.075
-ZTF19acdabep,SN Ib,0.0305
-ZTF19accobqx,SN Ia,0.1
-ZTF19acchaza,SN II,0.035
-ZTF19acdisjm,SN Ia,0.057123
-ZTF19acctlps,SN II,0.03877
-ZTF19abuyuwa,SLSN-I,0.5726
-ZTF19acclzaw,SN Ia,0.07
-ZTF19accstol,SN Ia,0.083
-ZTF18accjdgs,SN Ia,0.0828
-ZTF19accuyyg,SN Ia,0.08
-ZTF19accmboe,SN Ia,0.046
-ZTF19accjnpz,SN Ia,0.092
-ZTF19acdjiml,SN Ia,0.1
-ZTF19acckggd,SN Ia,0.08
-ZTF19acdihrz,SN Ia,0.066
-ZTF19acchink,SN Ia,0.08598
-ZTF19acbqzvu,SN Ia,0.065
-ZTF19acbpnii,SN Ia,0.06
-ZTF19acbpwwg,SN Ia,0.09
-ZTF19acctwpz,SN II,0.017
-ZTF19acbrola,SN Ia,0.126
-ZTF19accmxtw,SN Ia,0.06
-ZTF19accjfgv,SN IIb,0.027
-ZTF19acchjle,SN Ia,0.072
-ZTF19accbeju,SN II,0.055
-ZTF19acbnhkd,SN Ia,0.067
-ZTF19acbtlkz,SN Ia,0.101
-ZTF19acbzgog,Nova,0.000177
-ZTF19acbihyi,SN Ia,0.033476
-ZTF19acaqqxo,SN II,0.018
-ZTF19acbwilc,SN II,0.0511
-ZTF19acbwhqc,SN Ia,0.076
-ZTF19acbykmk,SN Ia,0.061
-ZTF19abzzuyl,SN II,0.029
-ZTF19acardcs,SN Ia,0.076
-ZTF19acbwouf,SN II,0.03
-ZTF19acbpxwt,SN Ia,0.07
-ZTF19acbpzir,SN Ia,0.066
-ZTF19acbpqvc,SN Ia,0.03
-ZTF19acbwaah,SN Ia,0.032
-ZTF19acbunmk,SN Ia,0.028
-ZTF19acazbqm,SN Ia,0.03
-ZTF19acbrzzr,SN II,0.03
-ZTF19acbhvgi,SN IIP,0.031
-ZTF19abzsogy,SN Ia,0.07
-ZTF19acbmxky,SN II,0.048
-ZTF19acbmjrp,SN Ia,0.085
-ZTF19acbvisk,SN II,0.0369
-ZTF19acbswdq,SN Ia,0.0667
-ZTF18aarunub,SN Ia,0.0291
-ZTF19acbmxxh,SN Ia,0.107
-ZTF19acbmqpu,SN Ia,0.041
-ZTF19acbmojx,SN Ib,0.027
-ZTF19acbmddl,SN Ia-pec,0.039
-ZTF19acblzux,SN Ia,0.036
-ZTF19acblqjf,SN Ia,0.128
-ZTF19acbtcyx,SN Ia,0.13
-ZTF19acbacvu,SN Ia,0.035
-ZTF19acazaug,SN Ia,0.025414
-ZTF19acbiwjk,SN Ia,0.09
-ZTF19acblhxc,SN II,0.016965
-ZTF19acbkczc,SN Ia,0.0326
-ZTF19acbjlnt,SN Ia-91T-like,0.056
-ZTF19acaxcwg,SN Ia,0.037
-ZTF19acccyxx,SN II,0.038
-ZTF19acapeun,SN Ia,0.019917
-ZTF19acbvpjn,SN Ia,0.0174
-ZTF19acaotrk,SN Ia,0.075
-ZTF19abzulhk,SN Ia,0.054
-ZTF19abzzhsa,SN Ia,0.041
-ZTF19abztknu,SN Ib,0.0535
-ZTF19acapech,SN IIn,0.075
-ZTF19acaqyjp,SN Ia,0.047
-ZTF19acsbxgw,SN Ia,0.03
-ZTF19abzsjpn,SN Ia,0.07
-ZTF19abzvvkb,SN Ia-91T-like,0.094
-ZTF19abzqwpr,SN II,0.037
-ZTF19acaiylt,SN Ia,0.07
-ZTF19abzzgec,SN Ia,0.08
-ZTF19abzmpvb,SN Ia,0.0758
-ZTF19adannbl,SN IIn,0.048
-ZTF19abzzhgx,SN Ia,0.065
-ZTF19abzyvfi,SN Ia,0.057
-ZTF19abzplvm,SN Ia,0.103
-ZTF19abzprpk,SN Ia,0.069
-ZTF19abzsitm,SN Ia,0.046
-ZTF19abzkiuv,SN Ia,0.059
-ZTF19abzrhgq,TDE,0.0151
-ZTF19abzrdup,SN II,0.1066
-ZTF19abzqkdz,SN Ia,0.096
-ZTF19abzlsbl,SN Ia,0.03
-ZTF19abylxyt,SN Ia,0.0533
-ZTF19abyhxzp,SN Ia,0.086
-ZTF19abzmnuk,SN Ia,0.039
-ZTF19abzlmwn,SN Ia,0.026
-ZTF19abzhvxk,SN Ia,0.083
-ZTF19abpmetl,SN Ia,0.068
-ZTF19abymukc,SN II,0.022
-ZTF19abzfmak,SN Ia,0.074
-ZTF19abzwaen,SN Ic-BL,0.0285
-ZTF19abyigib,SN Ia,0.063
-ZTF19abxekxi,SLSN-II,0.1423
-ZTF19abymvpq,SN Ia,0.06
-ZTF19abyzuos,SN Ia,0.08
-ZTF19abyjjxp,SN Ia,0.04
-ZTF19abyuzch,SN II,0.024
-ZTF19abyjhpz,SN Ia,0.096
-ZTF19abwamby,SN II,0.05
-ZTF19abxtdgh,SN Ia,0.047696
-ZTF19abxiqve,SN Ia,0.05
-ZTF19abymhad,SN Ia,0.13
-ZTF19abyfbik,SN Ia,0.065
-ZTF19abwsxug,SN Ia,0.083
-ZTF19abxjimu,SN Ia,0.017519
-ZTF19abyikbv,SN Ia,0.016992
-ZTF19abycslo,SN Ia,0.09
-ZTF19abwsdic,SN Ia,0.1
-ZTF19abxgmzr,SLSN-I,0.1136
-ZTF19abxfunp,SN Ia,0.038
-ZTF19abxfhrq,SN Ia,0.047429
-ZTF19abxdnzt,SN Ia,0.044
-ZTF19abxdnhr,SN Ia,0.054
-ZTF19abymvoy,SN Ia,0.024
-ZTF19abxvtxk,SN Ia-91T-like,0.08
-ZTF19abxvtmy,SN Ia,0.04
-ZTF19abxvtmn,SN II,0.052
-ZTF19abxvtiy,SN Ia,0.0542
-ZTF19abxvles,SN Ia,0.064
-ZTF19abxvjkn,SN Ia,0.05418
-ZTF19abxiqqm,SN Ia,0.08
-ZTF19abxtcio,SN IIb,0.0155
-ZTF19abwscog,SN Ia,0.056179
-ZTF19abwouqp,SN Ia,0.075
-ZTF19abwnpus,SN Ia,0.05
-ZTF19abvjcii,SN Ia,0.056
-ZTF19abwaohs,SN Ia,0.07
-ZTF19abwsagv,SN II,0.038
-ZTF19abxnycf,SN II,0.068077
-ZTF19abxihut,SN Ia,0.086
-ZTF19abxigfc,SN Ia,0.09
-ZTF19abuzpmr,SN Ia,0.065
-ZTF19abwsecm,SN Ia,0.022019
-ZTF19abxjrge,SN IIb,0.021705
-ZTF19abvgwvp,SN Ia,0.13
-ZTF19abvhkst,SN Ia,0.068
-ZTF19abuzinv,SN II,0.02
-ZTF19abvgnxg,SN Ia,0.11
-ZTF19abuxhqc,SN Ia,0.07
-ZTF19abubagk,SN Ia,0.11
-ZTF19abuazly,SN Ia,0.08
-ZTF19abrcvzz,SN Ia,0.073
-ZTF19abulzlj,SN Ia,0.1167
-ZTF19abwztsb,SN II,0.007415
-ZTF19abyreuq,SN Ia,0.03
-ZTF19abujuex,SN Ia,0.06
-ZTF19abuejud,SN Ia,0.02602
-ZTF19aburnqh,SN Ia,0.038
-ZTF19abvhduf,SN Ia,0.029
-ZTF19abukbit,SN II,0.035
-ZTF19abuclhk,SN Ia,0.05
-ZTF19abulzhy,SN IIn,0.1055
-ZTF19abupned,SN Ic-BL,0.05
-ZTF19abuayqg,SN Ia,0.11
-ZTF19abujhgm,SN Ia,0.06
-ZTF19abvanim,SN Ia,0.05964
-ZTF19abvalfd,SN Ia,0.031442
-ZTF19abvdbyx,SN II,0.037079
-ZTF19abvdgqo,SN Ib,0.03683
-ZTF19abuhlxk,SN Ia,0.02
-ZTF19abpfsks,SN IIn,0.1
-ZTF19abucvgu,SN Ia,0.05
-ZTF19abqyoxj,SN IIP,0.0379
-ZTF19abqyouo,SN IIP,0.045
-ZTF19abrirdm,SN Ia,0.09
-ZTF19abtnftd,SN Ia,0.08
-ZTF19abuonnx,SN Ia,0.0898
-ZTF19abqyoxt,SN II,0.02
-ZTF19abucwzt,SN Ib,0.016501
-ZTF19abrmlxu,SN Ia,0.065
-ZTF19abueupg,SN II,0.02
-ZTF19abukakm,SN II,0.056659
-ZTF19abtsrup,SN Ia,0.035
-ZTF19abudlps,SN II,0.013059
-ZTF19abudjie,SN II,0.02
-ZTF19absfopz,SN Ia,0.048
-ZTF19abtsnyy,SN Ic,0.04
-ZTF19abtslqm,SN IIP,0.0319
-ZTF18abmxaxt,CV,0.0
-ZTF19abqsmns,SN Ia,0.138
-ZTF19abrsuah,SN Ia,0.073
-ZTF19abrhdui,CV,-1.0
-ZTF19abnagzk,SN Ia,0.09
-ZTF19abozuxh,SN Ia,0.063
-ZTF19abqshry,SN Ic-BL,0.030821
-ZTF19abrbmvt,SN II,0.039
-ZTF19abrsssx,SN Ia,0.037
-ZTF19abqjypm,SN Ia,0.082
-ZTF19abpxcaf,SN Ia,0.063
-ZTF19abqsojs,SN Ia-91T-like,0.063
-ZTF19abotfag,SN Ia,0.1
-ZTF19abqgzea,SN Ia,0.049
-ZTF19abqysic,SN Ia-pec,0.02665
-ZTF19abrlvij,SN II,0.045
-ZTF19abqmpsr,SN Ia,0.033
-ZTF19abrogbl,SN Ia,0.0358
-ZTF19abqxibq,SN Ib,0.082
-ZTF19abpxttd,SN Ia,0.076
-ZTF19abqykyd,SN Ia,0.08
-ZTF19abrirmk,SN Ib,0.065
-ZTF19abqqrib,SN Ia,0.112
-ZTF19abpzuzd,SN Ia,0.064
-ZTF19abqqmui,SN Ia,0.05
-ZTF19abqmsnk,SN IIb,0.03561
-ZTF19abpztlw,SN Ia,0.065
-ZTF19abqwtfu,SN Ic-BL,0.014353
-ZTF19abqwsuf,SN II,0.04
-ZTF19abqsvgf,SN Ia,0.053654
-ZTF19abqrhvy,SN II,0.032019
-ZTF19abqimia,SN Ia,0.081
-ZTF19abqrrto,SN Ia-91T-like,0.04
-ZTF19abqxhhr,SN Ia,0.086
-ZTF19abqviuy,SN Ia,0.056
-ZTF19abqykei,SN IIb,0.0355
-ZTF19abqgytb,SN Ia,0.056
-ZTF19abpyqog,SN II,0.031
-ZTF19abqgtqo,SN II,0.036
-ZTF19abqstxq,Varstar,-1.0
-ZTF19abqrhvt,SN II,0.021048
-ZTF19abqqrgy,SN Ib,0.0296
-ZTF19abpxiff,SN II,0.055
-ZTF19abqmjdq,SN Ia,0.067
-ZTF19aboxjlj,SN Ia,0.07
-ZTF19abqlrtb,SN Ia,0.057
-ZTF19abqhikf,SN Ia,0.04
-ZTF19abqhobb,SN II,0.01815
-ZTF19abqanpy,SN Ia,0.043
-ZTF19ablrkfz,SN Ia,0.103
-ZTF19abpfxfs,SN Ia,0.054
-ZTF19aboqpry,SN Ia,0.118
-ZTF19abnmnrz,SN Ia,0.11
-ZTF19abpvbzf,SLSN-II,0.057
-ZTF19abpnrrf,SN II,0.038043
-ZTF19abpelgt,SN Ia,0.0769
-ZTF19abpgggu,SN Ia,0.0491
-ZTF19abpbmli,SN Ia,0.037
-ZTF19acaqoef,SN Ic,0.0108
-ZTF19abovstj,SN II,0.04457
-ZTF19abqyoxh,SN Ia,0.041
-ZTF19ablusdf,SN Ia,0.057
-ZTF19ablfcjr,SN Ia,0.0831
-ZTF19abpidqn,SN IIn,0.01458
-ZTF19ablpxtf,SN Ia,0.02
-ZTF19abplfxs,SN Ia,0.0485
-ZTF19abornyn,SN Ia,0.06
-ZTF19abnacvf,SLSN-I,0.19
-ZTF19ablwwox,CV,0.0
-ZTF19abpbbxx,SN Ia,0.073
-ZTF19abopyyu,SN Ia,0.07
-ZTF19abopflp,SN Ia,0.07
-ZTF19abpbqor,SN Ia,0.053
-ZTF19abpbopt,SLSN-I,0.1075
-ZTF19abocled,SN Ia,0.075
-ZTF19abowcic,SN Ia,0.083
-ZTF19abormur,SN II,0.564
-ZTF19abiagjr,AGN,0.33
-ZTF19abnoxud,SN Ia,0.05677
-ZTF19abnkrcd,SN Ia,0.075
-ZTF19abnimpq,SN Ia,0.0705
-ZTF19abomiel,SN Ia,0.066
-ZTF19abnishu,SN Ia,0.091
-ZTF19abmzord,SN Ia,0.06
-ZTF19abnmrqt,SN Ia,0.08
-ZTF19abpnsck,SN Ia,0.039864
-ZTF19abmqasg,SN Ia,0.037
-ZTF19abmylxw,SN Ia,0.041
-ZTF19abmpoxa,SN Ia,0.063
-ZTF19ablpnmk,SN Ia,0.06
-ZTF19ablekwo,SN Ia,0.09
-ZTF19abqgxpt,SN Ia,0.03508
-ZTF19ablfdwt,SN II,0.026
-ZTF19abmolyr,SN Ia,0.031375
-ZTF19abnktws,SN Ia,0.0763
-ZTF19abjrkqn,SN Ia,0.07
-ZTF19abkdeae,SN Ia,0.099
-ZTF18abugthp,SN Ia,0.06443
-ZTF19abjsmmv,SN II,0.02
-ZTF19abhibzk,SN Ia-91bg-like,0.0596
-ZTF19ablfaey,SN Ia,0.074
-ZTF19ablojrw,SN IIn,0.0488
-ZTF19abimzvh,SN Ia,0.08
-ZTF19abjozed,SN Ia,0.08
-ZTF19ablesob,SN Ic-BL,0.0558
-ZTF19abjrjdw,SN II,0.0224
-ZTF19abjioie,SN II,0.087
-ZTF19ablpfhz,SN Ia,0.06
-ZTF19ablovot,SN Ia,0.04
-ZTF19abkdrir,SN Ia,0.083
-ZTF19abjpntj,SN II,0.054681
-ZTF19abiztut,SN Ia,0.12
-ZTF19abjarhj,SN Ia-91T-like,0.108
-ZTF19abisbgx,SN Ia,0.085
-ZTF19abclykm,SLSN-II,0.0935
-ZTF19abinjcy,SN Ia,0.08
-ZTF19abpavsn,SN Ia,0.052
-ZTF19abpnrqa,SN Ia,0.045
-ZTF19ablzora,SN IIn,0.072
-ZTF19abixauz,SN Ia,0.09
-ZTF19abhzdjp,SN Ia,0.1
-ZTF19abkgbul,SN Ia,0.038
-ZTF19abkfxfb,SN II,0.032
-ZTF19abkfmjp,SN II,0.1008
-ZTF19abkdehm,SN Ia,0.08
-ZTF19abjpkdz,SN Ia,0.056436
-ZTF19abjibet,SN Ia,0.0515
-ZTF19abjgdko,SN Ia,0.03
-ZTF19abjamgc,SN Ia,0.07
-ZTF19abirbpd,SN Ia,0.07
-ZTF19abipmfl,SN Ia,0.077
-ZTF19abidfsb,SN Ia,0.083
-ZTF19abiahik,SN Ia,0.033
-ZTF19abhjhes,SN Ia,0.08
-ZTF19abjbtbm,SN II,0.04
-ZTF19abhzewi,SN Ia,0.03692
-ZTF19abjpelp,SN Ia,0.065
-ZTF19abitljz,SN Ia,0.08
-ZTF19abitbcj,SN Ia,0.038
-ZTF19abjgbmo,SN Ia,0.05
-ZTF19abimkwn,SN Ia,0.059
-ZTF19abimlck,SN Ia,0.048083
-ZTF19abgqwed,SN Ia,0.0786
-ZTF19abhphah,SN Ia,0.09
-ZTF19abgurml,SN II,0.041
-ZTF19abiszzn,SN II,0.04942
-ZTF19abiqfxi,SN II,0.0542
-ZTF19abiietd,SN II,0.016
-ZTF19abheamc,SN Ia,0.037
-ZTF19abfvnns,SLSN-I,0.14
-ZTF19abhztqq,SN Ia,0.1
-ZTF19abgrchq,SN II,0.03
-ZTF19abiahko,SN IIP,0.023
-ZTF19abguqsi,SN II,0.052117
-ZTF19abidfxd,SN Ia,0.054
-ZTF19abgsyrp,SN Ia,0.035
-ZTF19abhzelh,SN Ia,0.05352
-ZTF19abhduuo,SN II,0.01805
-ZTF19abfvpkq,SN Ia,0.05
-ZTF19abhxllw,SN Ia,0.041
-ZTF19abgppki,SN Ia,0.0617
-ZTF19abfvovo,SN Ia,0.08
-ZTF19abgbkwv,SN Ia,0.09
-ZTF19abeyuxt,SN Ic-BL,0.115
-ZTF19abgfrbl,SN Ia,0.092
-ZTF19abhiayh,SN Ia,0.09
-ZTF19abgrcxs,SN Ia,0.0825
-ZTF19abgrmfu,SN II,0.035
-ZTF19abhdlxp,SN Ia,0.05
-ZTF19abgqvyr,SN Ia,0.1
-ZTF19abgprpq,SN Ia,0.05
-ZTF18aarwxum,SN Ia,0.09
-ZTF19abglmpf,SN Ia,0.041
-ZTF19abgjlef,SN Ia,0.058
-ZTF19abgiwkt,SN II,0.01
-ZTF19abgpgyp,SN II,0.07
-ZTF19abgnuri,SN Ia,0.07
-ZTF19abgcbey,SN Ia,0.075
-ZTF19abgndlf,SN IIn,0.03
-ZTF19abgncfz,SN II,0.073
-ZTF19abkgjmj,SN II,0.029
-ZTF19abgfuhh,SN IIb,0.0354
-ZTF19abexfad,SN Ia,0.046
-ZTF19abfdszw,SN Ia,0.041699
-ZTF19abfhszx,SN Ia,0.06
-ZTF19abfiqjg,SN Ic,0.0888
-ZTF19abeytzv,SN Ia,0.07
-ZTF19abfaqqo,SN Ia,0.1
-ZTF19abgmkef,SN II,0.06
-ZTF19abfloxk,SN II,0.016
-ZTF19abfwfei,SN Ia,0.065627
-ZTF19abdmdow,SN Ia-91T-like,0.078
-ZTF19abfvhlx,SN Ia,0.056384
-ZTF19abfsxpw,SN Ic-BL,0.0292
-ZTF19abgcnqu,CV,-1.0
-ZTF19abfwdqv,SN II,0.013
-ZTF19abggnnp,SN Ia,0.079
-ZTF19abdzehg,SN Ia,0.024
-ZTF19abfqhis,SN Ia,0.078
-ZTF19abdkcib,SN Ia,0.107
-ZTF18abdcudb,SN Ia,0.087
-ZTF19abeloei,SN Ia,0.06
-ZTF19abdyawn,SN Ia,0.041
-ZTF19abfibel,SN Ia,0.04529
-ZTF19abexmfm,CV,-1.0
-ZTF19aaserwb,SLSN-II,0.3284
-ZTF19aaqrime,SLSN-I,0.3562
-ZTF19aamhhiz,SLSN-I,0.1977
-ZTF19aalvdeu,SLSN-II,0.2022
-ZTF19aalbrph,SLSN-I,0.5
-ZTF18abukmty,SN Ia,0.102
-ZTF18abqbavl,SN Ia,0.1392
-ZTF18aboaeqy,SN Ia,0.115
-ZTF19abcunya,SN Ia,0.08
-ZTF19abcvrpm,SN Ia,0.1
-ZTF19abecaca,SN IIn,0.032412
-ZTF19abaovea,SN II,0.112
-ZTF19abfpupe,SN Ia,0.085
-ZTF19abdoznh,SN Ia,0.037
-ZTF19abdoior,SN Ic,0.047
-ZTF19abdrwsz,SN Ia,0.02617
-ZTF19abdviwl,SN IIn,0.03
-ZTF19abdkgns,SN Ia,0.0862
-ZTF19abdkdir,SN Ia-91T-like,0.1
-ZTF19abcfzdy,SN Ia,0.08751
-ZTF19abdznxo,SN Ia,0.06
-ZTF19abkfqqp,SN II,0.03
-ZTF19abcttsc,SN Ia,0.025
-ZTF19abddsvk,SN II,0.058
-ZTF19abdkecj,SN Ia,0.073
-ZTF19abdduix,SN Ia,0.097
-ZTF19abcnpkt,SN Ia,0.085
-ZTF19abctnpk,SN Ia,0.08
-ZTF19abdqaao,SN Ia,0.055
-ZTF19abdkgwo,SN II,0.098
-ZTF19abcejoa,SN Ia,0.09
-ZTF18abgrlpv,SLSN-II,0.2104
-ZTF19abegizf,SN II,0.037
-ZTF19abegxfs,SN IIn,0.02388
-ZTF19abcoosk,CV,-1.0
-ZTF19abaeyqw,SLSN-I,0.4
-ZTF19abddqhy,SN Ia,0.073011
-ZTF19abcptta,CV,0.0
-ZTF19abcncdg,SN Ia,0.09
-ZTF19abctxhf,SN II,0.05
-ZTF19abbxykm,SN II,0.047
-ZTF19abbyauq,SN Ia-91T-like,0.08
-ZTF19abcekty,SN II,0.011638
-ZTF19abcejsg,SN II,0.134
-ZTF19abcejfo,SN IIn,0.083
-ZTF19abcegvm,SN Ic,0.073
-ZTF19abcneik,SN II,0.035
-ZTF19abcndvf,SN Ia,0.0487
-ZTF19abjgdhb,SN II,0.02838
-ZTF19abbvzgr,SN Ia,0.0498
-ZTF18aahuujv,SN Ic,0.0343
-ZTF19abauzma,SN Ia,0.07028
-ZTF19abegruk,SN Ia,0.04
-ZTF19abdcbwl,SN Ia,0.118
-ZTF19abbwfgp,SN II,0.025925
-ZTF19abgmjtu,SN Ia-91T-like,0.0703
-ZTF19aazlpel,SN II,0.0325
-ZTF18abvbayb,SN Ia,0.13
-ZTF18abtcdfv,SN Ia,0.14
-ZTF18abssdpi,SN Ia,0.1
-ZTF18abslxhz,SN Ia,0.13
-ZTF18abnvoel,SN Ia,0.06
-ZTF18abixjey,SN Ia-91T-like,0.12
-ZTF18abealop,SN Ia,0.06658
-ZTF18abdmgab,SN Ia-91bg-like,0.08
-ZTF18abclalx,SN Ia,0.1
-ZTF18aaxrvzj,SN Ia,0.11
-ZTF19abaosan,SN Ia,0.047
-ZTF19abangub,SN Ia,0.083
-ZTF19abanayw,SN II,0.0363
-ZTF18adbafkf,CV,-1.0
-ZTF19abbnamr,SN II,0.0139
-ZTF19abdgpuv,SN Ia,0.1
-ZTF19abamqxo,SN Ibn,0.057
-ZTF19abakjao,SN Ia,0.06
-ZTF19abauylg,SN Ic,0.044
-ZTF19abakjci,SN Ia,0.07
-ZTF19abafmwj,SN Ic,0.034
-ZTF19abaejrh,SN Ia,0.088
-ZTF19abidbqp,SN II,0.040164
-ZTF19aaywatq,SN Ia,0.014774
-ZTF19abafrvy,SN Ia,0.078
-ZTF19abajuqh,SN Ia,0.068
-ZTF19abasxmh,Varstar,-1.0
-ZTF19abasxkg,SN Ia,0.038
-ZTF19aazdcmj,SN Ia,0.09
-ZTF19abangws,SN Ia,0.04609
-ZTF19abandzh,SN IIn,0.0406
-ZTF19abattvp,SN Ia,0.07
-ZTF19ababigc,SN Ia,0.055
-ZTF19aayveer,SN Ia,0.08
-ZTF19abdkfqe,SN Ia,0.027589
-ZTF19aaywazj,SN Ia,0.0186
-ZTF19abajxet,SN II,0.014744
-ZTF19abaejto,SN Ia,0.06
-ZTF19abahsgg,SN Ia,0.0695
-ZTF19ababmsi,SN Ia,0.06
-ZTF19abahvdh,SN Ia,0.07
-ZTF19abegxob,SN Ia,0.018
-ZTF19abaeyln,SN Ia,0.0852
-ZTF19abacxod,SN II,0.01765
-ZTF19aazzpje,SN Ia,0.09
-ZTF19aaypehm,SN Ia,0.11
-ZTF19abadskf,SN Ia,0.04106
-ZTF19aazxcvl,SN Ia,0.06
-ZTF19aazwnwy,SN IIb,0.08528
-ZTF19aazpvyr,SN Ia,0.07
-ZTF19aayckwk,SN Ia,0.086
-ZTF19aayqait,SN Ia,0.069
-ZTF19aawqcgy,SN Ic-BL,0.020652
-ZTF19aayvylv,SN Ia,0.071
-ZTF19aayrosj,SN II,0.015064
-ZTF19aazudta,SN II,0.023893
-ZTF19aazlsfj,SN Ia,0.07
-ZTF19aaziick,SN Ia,0.08
-ZTF19aaywlmi,SN Ia,0.07
-ZTF19aazfvhh,SN II,0.034033
-ZTF19aazpvdy,SN II,0.04
-ZTF19aayslow,SN Ia,0.06
-ZTF19aaysiwt,SN Ia,0.093
-ZTF19aawsqsc,SLSN-I,0.26
-ZTF19aayjqpa,SN Ia,0.08
-ZTF19aazyvub,SN II,0.02287
-ZTF19aaykugs,SN Ia,0.045031
-ZTF19aazgpar,SN Ia,0.09
-ZTF19aazgdvh,SN Ia,0.0822
-ZTF19aayogzn,SN Ia,0.06965
-ZTF19aavjzrz,SN IIP,0.018
-ZTF19abajrpw,SN Ia,0.035741
-ZTF19abdkdoz,SN Ia,0.04
-ZTF19aaxzdtw,SN Ic,0.041
-ZTF19aaycrgf,SN IIP,0.015
-ZTF19aawblge,SN Ia,0.043
-ZTF19aaydpiq,SN II,0.02373
-ZTF19aavjukt,SN IIn,0.036
-ZTF19aaxfzao,SN Ia,0.037
-ZTF19abdkcts,SN Ia,0.029
-ZTF19abcejlb,SN II,0.021
-ZTF19aaxyukr,SN Ia,0.087
-ZTF19aawfbtg,SLSN-I,0.0866
-ZTF19aayfaum,SN Ia,0.0113
-ZTF19aayabqe,SN Ia,0.033
-ZTF19aayjsty,SN Ia,0.07
-ZTF19aaxptsd,SN Ia,0.06
-ZTF19aaziqbb,CV,-1.0
-ZTF19aaydtur,SN II,0.03474
-ZTF19aaxibby,SN Ia,0.056
-ZTF19aawsday,SN Ic,0.029157
-ZTF19aaycomi,SN Ia,0.03
-ZTF19aawyepw,SN Ia,0.06
-ZTF18aanygjk,SN Ia,0.049
-ZTF19aaxugwk,CV,-1.0
-ZTF19abqgwuy,SN Ia,0.025
-ZTF19aawtqdv,SN Ia,0.06758
-ZTF19aaxqsbn,SN Ia,0.057
-ZTF19aaxpjpq,SN Ia,0.0729
-ZTF19aazdsgo,SN Ib,0.02
-ZTF19aawrumx,SN Ia,0.06
-ZTF19aavvozj,SN Ia,0.1
-ZTF19aavqics,SN II,0.0215
-ZTF19aawqckx,SN Ia,0.034
-ZTF19aawupxb,SN Ia-pec,0.0554
-ZTF19aawnqoj,SN Ia,0.07
-ZTF19aaxibpz,SN Ia,0.065
-ZTF19aaxhysx,SN Ia,0.083
-ZTF19aawmqtd,SN Ia,0.057
-ZTF19aawmkja,SN Ia,0.04
-ZTF19aaxfcpq,SN Ic-BL,0.038003
-ZTF19aawafvn,SN Ia,0.074
-ZTF19aaxffum,SN Ia-91T-like,0.054988
-ZTF19aavivbl,SN Ia,0.09
-ZTF19aawudku,SN Ia,0.074
-ZTF19aavwbpc,SN Ia,0.079
-ZTF19aavxfib,TDE,0.086
-ZTF19aawtnqd,SN Ia,0.03
-ZTF19aavnzti,SN Ia,0.07
-ZTF19aawpgwv,CV,-1.0
-ZTF19aawscnp,SN Ia,0.074796
-ZTF19aawgfnn,SN Ia,0.053
-ZTF19aawolyt,CV,-1.0
-ZTF19aavaikm,SN Ia,0.06
-ZTF19aayjhpg,SN II,0.02
-ZTF19abcejrr,SN II,0.021
-ZTF19aavjzwm,SN IIP,0.013
-ZTF19aavoweu,SN Ic,0.0359
-ZTF19aawgxdn,SN II,0.030666
-ZTF19aavorpa,SN Ia,0.08
-ZTF19abiszoe,SN IIn,0.043
-ZTF19aavoiyc,SN Ia,0.047
-ZTF19aavsahh,SN Ia,0.063
-ZTF19aavnxwj,SN Ia,0.08
-ZTF19aavsyhq,SN Ia,0.04
-ZTF19aazdiwq,SN Ia,0.03
-ZTF19aavitlq,SN Ia,0.031462
-ZTF19aawfkeg,SN II,0.047
-ZTF19aavouyw,SLSN-I,0.1816
-ZTF19aaynsyd,SN Ia,0.027
-ZTF18aarlukc,SN Ia,0.0626
-ZTF19aavxpbx,SN Ia,0.07
-ZTF19aavxikq,SN Ia,0.06
-ZTF19aavounq,SN Ia,0.0763
-ZTF19aavqotz,SN Ia,0.064
-ZTF19aavqoop,SN Ia,0.07
-ZTF19aavnwtf,SN Ia,0.0515
-ZTF19aavrswr,SN Ia,0.035
-ZTF19aavhwxs,SN Ia,0.08
-ZTF19aavmgtv,SN Ia,0.0292
-ZTF19aavkvpw,SN Ic-BL,0.027
-ZTF19aavnwyt,SN Ia,0.04616
-ZTF19aavnwxf,SN Ia,0.0469
-ZTF19aaurstb,SN Ia,0.05
-ZTF19aawfcgp,SN Ia,0.019513
-ZTF19aawgopm,SN Ia,0.013
-ZTF19aavmlqh,SN Ia,0.08
-ZTF19aavjlkx,SN II,0.083443
-ZTF19aavidqf,SN Ia-91T-like,0.098
-ZTF19aavlfvn,SN Ia,0.0277
-ZTF19aavhzsc,SN Ia,0.04
-ZTF19aavqiuw,SN Ia,0.0462
-ZTF19aavhxby,SN Ia,0.02313
-ZTF19aavrcew,SN II,0.01943
-ZTF19aavhypb,SN Ia,0.068
-ZTF19aauvjws,SN Ia,0.09351
-ZTF19aavissk,SN Ia,0.04
-ZTF19aauxmqj,SN Ia,0.07
-ZTF19aavhblr,SN II,0.05
-ZTF19aavxufb,SN Ia,0.06
-ZTF19aavkhuy,SN Ia,0.03
-ZTF19aavbkly,SN IIP,0.0407
-ZTF19aavyvbn,SN IIn,0.016
-ZTF19aavhvkd,SN Ia,0.023436
-ZTF19aaupkev,SN Ia,0.09
-ZTF19aavbjfp,SN II,0.028
-ZTF19aatvvvu,SN Ia,0.04
-ZTF19aaurhox,SN Ia,0.07
-ZTF19aauoulb,SN Ia,0.05362
-ZTF19aayihcn,SN,0.047
-ZTF19aauxxgk,SN II,0.026
-ZTF19aauqywe,SN Ia,0.058
-ZTF19aauvkxu,SN Ia,0.07
-ZTF19aauqwna,SN IIP,0.041
-ZTF19aatubsj,SLSN-II,0.2666
-ZTF19aaumvig,SN Ia,0.049
-ZTF19aaujzqh,SN Ia,0.0426
-ZTF19aaupkrl,SN Ia,0.036665
-ZTF19aauplxw,SN Ia,0.087
-ZTF19aauhhjy,SN Ia,0.0682
-ZTF19aaugupw,SN IIb,0.04058
-ZTF19aauitks,SN Ia,0.098
-ZTF18aaqkcso,SN Ia,0.02
-ZTF19aauisdr,SN II,0.0433
-ZTF19aauhwbp,SN Ia,0.03942
-ZTF19aaurxsa,SN Ia,0.052
-ZTF19aatnfci,SN Ia,0.066
-ZTF19aauivtj,SN Ia,0.07
-ZTF18acmvcme,SN Ia-91T-like,0.0332
-ZTF19aaulzvc,SN Ia,0.07
-ZTF19aatnfvj,SN Ia,0.0835
-ZTF19aaujiwc,SN Ia,0.038
-ZTF19aauishy,SN II,0.0226
-ZTF19aaugaam,SN II,0.05
-ZTF19aauguzk,SN Ia,0.0536
-ZTF19aaugoig,SN Ia,0.0509
-ZTF19aauoiow,SN II,0.015621
-ZTF19aatvljp,SN Ia,0.052
-ZTF19aasmkhn,SN Ia,0.1
-ZTF19aarphwc,SLSN-I,0.3057
-ZTF19aathcvn,SN Ia,0.04
-ZTF19aatqzim,SN II,0.05007
-ZTF18aaqkdwu,SN II,0.06037
-ZTF19aatgrpm,SN Ia,0.08033
-ZTF19aatgopg,SN Ia,0.0732
-ZTF19aatgrxl,SN Ia,0.062
-ZTF19aatgrxv,SN Ia,0.04
-ZTF19aatvmbo,SN Ia-91T-like,0.06
-ZTF19aatvlfl,SN Ia,0.066
-ZTF19aarxrem,SN IIn,0.048
-ZTF19aasfsoi,SN Ia,0.048
-ZTF18aaunfqq,SN Ia,0.07109
-ZTF18aahqmsr,SN Ia,0.085
-ZTF18aahjafd,SN Ia,0.0359
-ZTF19aatgxjy,SN II,0.04
-ZTF19aatgznl,SN Ia,0.0671
-ZTF19aatlqdf,SN II,0.0785
-ZTF19aasekcx,SN IIn,0.118
-ZTF18aaxokeg,SN Ia,0.0336
-ZTF19aathllr,SN II,0.055
-ZTF19aatgwhs,SN Ia,0.041028
-ZTF19aatheus,SN Ic,0.018369
-ZTF19aatgsdl,SN Ia,0.08
-ZTF19aatlmbo,SN Ia,0.00775
-ZTF19aassqix,SN Ia,0.05
-ZTF19aarioci,TDE,0.074
-ZTF19aatesgp,SN Ib,0.0043
-ZTF19aariwfe,SN II,0.035905
-ZTF19aarixue,SN Ia,0.07
-ZTF19aarifvr,SN Ia-91T-like,0.071
-ZTF19aaripqw,SN Ia,0.04131
-ZTF19aartuli,SN Ia,0.05
-ZTF19aartuev,SN Ia,0.053447
-ZTF19aarykkb,SN II,0.024
-ZTF19aarstfg,SN Ia,0.030003
-ZTF19aarprog,SN Ia-91T-like,0.0542
-ZTF19aarnqzw,SN Ia,0.02756
-ZTF19aarkpif,SN Ia,0.063
-ZTF19aarmznp,SN Ia,0.05123
-ZTF19aarfyvc,SN Ic,0.09
-ZTF19aapafqd,SN II,0.0321
-ZTF19aapzbjr,SN IIn,0.0305
-ZTF19aarjfqe,SN II,0.02138
-ZTF19aarfksi,SN Ia,0.0798
-ZTF19aariwpf,SN Ia,0.072
-ZTF19aarinmw,SN Ia,0.05
-ZTF19aaraxhh,SN Ia,0.04129
-ZTF19aarlefl,SN Ia,0.04346
-ZTF19aawsdlq,SN II,0.0156
-ZTF19aawlkjx,SN II,0.015
-ZTF19aarhxgn,SN Ia,0.033
-ZTF19aapreis,TDE,0.0512
-ZTF19aaqxcfs,SN Ia,0.08
-ZTF19aaqhelq,SN Ia,0.0566
-ZTF19aardunx,SN Ia,0.04301
-ZTF19aaqcqkv,SN Ia,0.075
-ZTF19aaqxosb,SN II,0.01931
-ZTF19aaqdkrm,SN II,0.03422
-ZTF19aaqasrq,SN IIn,0.025
-ZTF19aapqrsh,SN Ia,0.023313
-ZTF19aaprvar,SN II,0.017
-ZTF19aaohuwc,SLSN-I,0.26
-ZTF19aaptwpu,SN Ia,0.07
-ZTF19aapszzy,SN Ia,0.07
-ZTF19aapocyd,SN Ia,0.06
-ZTF19aapnzde,SN Ia,0.07087
-ZTF19aaprzcr,SN Ia-91T-like,0.057
-ZTF19aapfnym,SN II,0.034
-ZTF19aaoxvfe,SN Ib,0.0364
-ZTF19aapwnmb,SN Ib,0.095
-ZTF19aapbgmp,SN Ia,0.08
-ZTF19aaputrv,SN Ia-pec,0.03499
-ZTF19aapuohr,SN Ia,0.04
-ZTF19aapfktd,SN Ia,0.09
-ZTF19aapcoqg,SN Ia,0.08264
-ZTF19aaptzar,SN Ia,0.02544
-ZTF19aapbfot,SN II,0.03
-ZTF19aapfmki,SN Ibn,0.05469
-ZTF19aapbgty,SN Ia,0.075
-ZTF19aaozplq,SN Ia,0.1
-ZTF19aaozsuh,SN IIn,0.057
-ZTF19aanxrkt,SN Ia,0.09
-ZTF19aanxosu,SN Ia,0.08
-ZTF19aapcvxi,SN Ia,0.06
-ZTF19aapadxs,SN IIb,0.035
-ZTF19aaokist,SN Ia,0.07459
-ZTF19aaocbes,SN Ia-91T-like,0.08
-ZTF19aaobwpx,SN Ia,0.05
-ZTF19aanuipr,SN Ia,0.07
-ZTF19aapcvdi,SN Ia,0.07671
-ZTF19aaoikti,SN Ia,0.07868
-ZTF19aanxnkd,SN Ia,0.100206
-ZTF19aaoyech,SN Ia,0.06
-ZTF19aapeime,SN Ia,0.027899
-ZTF19aapcwdq,SN Ia,0.1
-ZTF19aaozpew,SN Ia,0.06
-ZTF19aaoyjoz,SN Ia,0.0615
-ZTF19aaohyqj,SN Ia,0.1
-ZTF19aapaeye,SLSN-I,0.32
-ZTF19aaphmto,SN Ia,0.08
-ZTF19aapfohi,SN II,0.0374
-ZTF19aapafit,SN II,0.018607
-ZTF19aanfzox,SN Ia,0.095
-ZTF19aanfqug,SN IIn,0.046
-ZTF19aamtwwv,SN Ia,0.0686
-ZTF19aanuuen,SN Ia,0.0701
-ZTF19aaomkvl,SN Ia,0.03961
-ZTF19aanfnvl,SN II,0.03167
-ZTF19aanijpu,SN Ic,0.05
-ZTF19aaneugz,SN Ia,0.0545
-ZTF19aanetjx,SN Ia,0.0531
-ZTF19aantarc,SN Ia,0.099
-ZTF19aanqzhm,SN IIn,0.049
-ZTF19aanuipj,SN Ia,0.06
-ZTF19aanuhox,SN Ia,0.06
-ZTF19aamrais,SLSN-II,0.1173
-ZTF19aanovps,SN II,0.035
-ZTF19aanonjt,SN Ia,0.054
-ZTF19aanydko,SN Ia,0.07
-ZTF18accngxc,SN II,0.07
-ZTF19aanxgrz,SN Ia,0.027089
-ZTF19aanmdsr,SN Ia,0.125
-ZTF19aanircs,SN Ia,0.06
-ZTF19aansyyn,SN Ia,0.078
-ZTF19aanpcep,SN II,0.0314
-ZTF19aanirdx,SN Ia,0.092
-ZTF19aalbrgu,SLSN-II,0.097
-ZTF19aanramr,SN Ia,0.04529
-ZTF19aanesxt,SN Ia,0.048
-ZTF19aanpgdu,CV,-1.0
-ZTF19aamvape,SN II,0.03
-ZTF19aanmeyw,SN Ia,0.06
-ZTF19aamvmer,SN Ia,0.08773
-ZTF18acerdie,SN Ia,0.0846
-ZTF19aanjlwx,SN Ia,0.05
-ZTF19aanjjhk,SN Ia,0.07
-ZTF19aanjjgr,SN Ia,0.095
-ZTF19aanhlzn,SN Ia,0.083
-ZTF19aanejfr,SN Ia,0.0428
-ZTF19aamooex,SN Ia,0.08
-ZTF19aamsnhu,SN Ia,0.1
-ZTF19aamtwiz,SN II,0.04468
-ZTF19aaniore,SN II,0.03
-ZTF19aanhlzi,SN Ia,0.0544
-ZTF19aanhlxe,SN Ia,0.069
-ZTF19aanhhal,SN II,0.02597
-ZTF19aangier,SN Ia,0.0604
-ZTF19aanfyey,SN Ia,0.0849
-ZTF19aanesgt,SLSN-I,0.153
-ZTF18aahtjsc,SN Ia,0.0529
-ZTF19aanhgqg,SN Ia-91bg-like,0.02777
-ZTF19aanfukh,SN Ic,0.027652
-ZTF19aanlekq,SN II,0.03677
-ZTF19aamljom,SN II,0.02
-ZTF19aanbfaw,SN Ia,0.06
-ZTF19aamsetj,SN Ic,0.02751
-ZTF19aaksxgp,SN IIn,0.0467
-ZTF19aalzvnu,SN IIb,0.065
-ZTF19aamqlyl,SN Ia,0.03
-ZTF19aamwhat,SN IIP,0.008
-ZTF19aamkywr,SN Ia,0.03034
-ZTF19aamhqow,SN Ia,0.0575
-ZTF19aamhlnl,SN Ia,0.076
-ZTF19aamkmxv,SN IIn,0.014
-ZTF19aamhhgu,SN Ia,0.0382
-ZTF19aamhhyo,SN Ia,0.08
-ZTF19aamqebl,SN Ia,0.09
-ZTF19aampqcq,SN Ia,0.0195
-ZTF19aamgghn,SN Ib,0.02968
-ZTF18achxcsh,SN Ia,0.07
-ZTF19aamhqej,SN Ia,0.0169
-ZTF19aamhgwm,SN II,0.03422
-ZTF19aamgokq,SN Ia,0.08
-ZTF19aamoqxy,SN Ia,0.08099
-ZTF19aakrawk,SN Ia,0.063
-ZTF19aamohrk,SN II,0.03
-ZTF19aalouag,SN Ib,0.0549
-ZTF19aamwyzl,SN Ia,0.09
-ZTF19aamhhey,SN Ia,0.045
-ZTF19aamhhae,SN Ia,0.04
-ZTF19aamfxby,SN Ia-91T-like,0.07
-ZTF19aalxlpp,SN Ia,0.086
-ZTF19aaluprf,SN Ia,0.09
-ZTF19aamrdmm,SN Ia,0.042
-ZTF19aalzrrz,SN Ia,0.0564
-ZTF19aamaeve,SN Ia,0.072
-ZTF19aamohsn,SN Ia,0.095
-ZTF19aamhjlk,SN Ia,0.062
-ZTF19aalztms,SN II,0.04
-ZTF19aamjvie,SN Ia,0.042
-ZTF19aamkdtq,SN Ia,0.0339
-ZTF19aamgjtz,SN Ia,0.1
-ZTF19aamhmsx,SN II,0.047
-ZTF19aalveag,SN Ia,0.05
-ZTF19aalzmio,SN Ia,0.075
-ZTF19aaleptm,SN Ia,0.079
-ZTF19aalzmiu,SN Ia,0.11
-ZTF19aaloqmd,SN II,0.0335
-ZTF19aakthjl,SN Ia,0.06075
-ZTF18acnnevs,SLSN-II,0.191
-ZTF19aalsnbp,SN II,0.05
-ZTF19aadnmgf,SN Ia,0.08
-ZTF19aalzmmt,SN Ia-91T-like,0.061
-ZTF19aamggnw,SN II,0.037
-ZTF19aakzwao,SN Ia,0.019512
-ZTF19aamgypy,SN Ia-91T-like,0.024
-ZTF19aalsqqy,SN Ia,0.033
-ZTF19aafmyow,SN Ic,0.0265
-ZTF19aaduufr,SN IIP,0.035
-ZTF19aaktpns,SN Ia-pec,0.09
-ZTF19aallvor,SN Ia,0.071
-ZTF19aakzash,SN II,0.0365
-ZTF19aallimd,SN II,0.03
-ZTF19aakrhzj,SN Ia,0.09
-ZTF19aakobov,SN Ia-91T-like,0.051
-ZTF19aakphow,SLSN-II,0.117
-ZTF19aalcyfd,SN Ia,0.035187
-ZTF19aakssnv,SN II,0.029
-ZTF19aajwdqt,SN Ia,0.088
-ZTF19aaknqmp,SLSN-I,0.148
-ZTF19aakpcuw,SN Ib/c,0.032
-ZTF19aakjbej,SN Ia,0.0896
-ZTF19aalubxw,SN II,0.0931
-ZTF19aalemmz,SN Ia,0.07
-ZTF18abixrei,SN Ia,0.113
-ZTF19aakpccq,SN II,0.05
-ZTF19aakozyp,SN Ia,0.043
-ZTF19aaldqvh,SN Ia,0.101
-ZTF19aajxwnz,SN Ia,0.015
-ZTF19aaksrlb,SN Ia,0.034683
-ZTF19aakyxsq,SN Ia,0.0839
-ZTF19aaknvuh,SN Ia,0.035
-ZTF19aaeuhgo,SN II,0.0678
-ZTF19aakrsuo,SN II,0.031128
-ZTF19aaksrgj,SN Ia,0.0859
-ZTF19aakpfax,SN Ia,0.0799
-ZTF19aakpcfy,SN Ia,0.078316
-ZTF19aakpcfi,SN Ia,0.06322
-ZTF19aakoasy,SN Ia,0.022
-ZTF19aaknate,SN IIb,0.01188
-ZTF19aaklquv,SN Ia,0.0486
-ZTF19aaekvhn,SN Ia,0.061
-ZTF17aaazdba,TDE,0.022
-ZTF19aakljys,SN Ia,0.043963
-ZTF19aaadwfi,SLSN-II,0.222
-ZTF19aakjesi,SN Ia,0.026
-ZTF19aainjpz,SN Ia,0.033
-ZTF19aahygro,SN Ia,0.028
-ZTF19aakiyed,SN II,0.044
-ZTF19aailuvj,SN Ia,0.071
-ZTF19aakiyly,SN Ia,0.07
-ZTF19aakiwxx,SN Ia,0.045
-ZTF19aailsyx,SLSN-II,0.2207
-ZTF19aailqli,SN Ia,0.058
-ZTF19aailltc,SN Ia,0.088
-ZTF19aaileug,SN Ia,0.0627
-ZTF19aaiqmgl,AGN,0.028
-ZTF19aahulyd,SN Ia,0.04092
-ZTF19aahsnmq,SN Ia,0.06
-ZTF19aajxhwa,SN Ia,0.033
-ZTF19aamowaf,SN II,0.025
-ZTF19aailvhf,SN II,0.029
-ZTF19aaillan,SN Ia,0.07
-ZTF19aakjcxs,SN II,0.038
-ZTF19aailvgo,SN Ia,0.071
-ZTF19aailcgs,SN Ic,0.02031
-ZTF19aafmhcl,SN Ia,0.068
-ZTF19aailteb,SN Ia,0.078
-ZTF19aailepg,SN II,0.02981
-ZTF19aailsfh,SN Ia,0.06
-ZTF19aakirwj,SN Ib,0.03165
-ZTF19aaezale,SN IIn,0.083
-ZTF19aahsgka,SN Ia,0.017459
-ZTF19aaknacv,SN Ia-91T-like,0.039
-ZTF19aaeopgw,SLSN-II,0.13
-ZTF19aagmsrr,SN Ia,0.023
-ZTF19aafmvdb,SN Ia,0.022919
-ZTF19aafmfxg,SN Ia-91T-like,0.052
-ZTF19aacjbsj,SN IIn,0.052
-ZTF19aajwhse,SN Ia,0.02835
-ZTF19aagqkrq,LBV,0.003
-ZTF19aailsge,SN Ib,0.036
-ZTF19aafnfyc,SN Ia,0.08
-ZTF19aafnecv,SN Ia,0.038622
-ZTF19aafncsv,SN Ia,0.037
-ZTF19aaeoqst,SN Ia-CSM,0.06
-ZTF19aafljiq,SLSN-II,0.106
-ZTF19aadyijk,SN Ia,0.065
-ZTF19aadkzep,AGN,0.066
-ZTF19aaeflme,SN Ia,0.04
-ZTF19aaejtof,SN IIb,0.037628
-ZTF19aadyppr,ILRT,0.0015
-ZTF19aadyioa,SN Ia,0.053468
-ZTF19aaeopqn,SN Ia,0.039
-ZTF18aaermez,SN Ia,0.022846
-ZTF19aaeoqkk,SN Ia,0.07
-ZTF19aaeicsm,SN Ia,0.062
-ZTF18adbacau,SN II,0.037033
-ZTF19aadypig,SN II,0.03
-ZTF19aadooun,SN Ia,0.050109
-ZTF19aacnxvc,SN II,0.0176
-ZTF19aadttht,SN Ic,0.00639
-ZTF19aadolpe,SN Ia,0.055
-ZTF19aadyiao,SN IIb,0.032
-ZTF19aadoocn,SN Ia,0.041211
-ZTF19aadnxcw,SN Ia,0.05426
-ZTF19aadnxgj,SN Ia,0.0342
-ZTF19aadnxat,SN Ia,0.03208
-ZTF19aadnxog,SN IIP,0.02014
-ZTF19aadnxnl,SN IIP,0.0088
-ZTF19aadgftj,SN Ia-91T-like,0.055
-ZTF18adbikdz,SN II,0.03432
-ZTF19aafndot,SN IIP,0.034337
-ZTF19aabimbg,CV,-1.0
-ZTF18aadmssd,SN IIn,0.018853
-ZTF19aadmjtn,SN Ia,0.036882
-ZTF19aadpqnb,SN IIb,0.013
-ZTF19aadgimr,SN IIn,0.035
-ZTF19aaafgbt,SN Ia,0.121
-ZTF19aacwljg,SN Ia,0.051
-ZTF19aacivvy,SN Ia,0.03
-ZTF19aabmybj,SN Ia,0.04
-ZTF19aaaojkv,CV,-1.0
-ZTF19aacgslb,SN Ia,0.00452
-ZTF19aaerbzy,SN IIn,0.054
-ZTF19aabyppp,SN Ia,0.037
-ZTF19aabyheu,SN Ia,0.021
-ZTF19aaaajhn,SN IIn,0.0005
-ZTF18adasisj,SN Ic,0.034
-ZTF18adbyxua,SN Ia,0.107
-ZTF19aaairqh,SN Ia,0.022
-ZTF19aacxrab,SLSN-I,0.12
-ZTF18acxgqxq,SLSN-I,0.27
-ZTF18adasopt,SN Ia,0.04
-ZTF18adachwf,SN II,0.02905
-ZTF18adbntwo,SN Ia,0.04774
-ZTF18adbmbpa,SN II,0.021
-ZTF18adbckox,SN Ia,0.05
-ZTF18adbmrug,SN IIn,0.02396
-ZTF18adathpb,SN Ia,0.031182
-ZTF18adazblo,SN II,0.02672
-ZTF18adazgdh,SN Ia,0.0767
-ZTF18adaruzw,SN Ia,0.035374
-ZTF18abvmlow,SN II,0.007
-ZTF18adbadqp,SN Ia,0.08
-ZTF18adalarn,SN Ia-pec,0.027
-ZTF18acwzxhr,SN II,0.026
-ZTF18adaylyq,SN Ia,0.06
-ZTF18aczuooo,SN IIn,0.094
-ZTF18acyxnyw,SLSN-I,0.108
-ZTF18adaslwa,SN Ia,0.028
-ZTF18adbadfz,SN II,0.03374
-ZTF18acwwowy,SN Ia,0.055168
-ZTF18adazbol,SN Ia,0.105
-ZTF18aczdtgn,SN Ia-91T-like,0.0685
-ZTF18aczqtpt,SN Ia,0.069
-ZTF18adbadic,SN II,0.026
-ZTF18aczqzrj,SN Ic,0.0429
-ZTF18aczemzj,SN Ia,0.05
-ZTF18acwyvet,SN IIL,0.0281
-ZTF18aczrafz,SN Ia,0.021
-ZTF18adbclkd,SN II,0.01749
-ZTF18adaifep,SN Ia,0.031
-ZTF18adacoaj,SN Ia,0.102
-ZTF18adacicy,SN II,0.03
-ZTF18aczeesl,SN Ia,0.018
-ZTF18adaadmh,SN Ia,0.047
-ZTF18aczbkqp,LBV,0.012505
-ZTF18abvejqt,SN II,0.05
-ZTF18acyybvg,SN IIP,0.032
-ZTF18acybdar,SN Ia,0.0713
-ZTF18acvjnst,SN Ia,0.037
-ZTF18acxyarg,SN Ia,0.04205
-ZTF18acwwonp,SN Ia,0.03128
-ZTF18acvgjqv,SN IIn,0.091
-ZTF18acwyqeg,SN Ia,0.0599
-ZTF18aczdetm,SN Ia,0.029
-ZTF18acvwhaz,SN Ia,0.107
-ZTF18acxijqw,SN Ia,0.08
-ZTF18acutfne,SN Ia,0.035
-ZTF18acvwmpw,SN Ia,0.08
-ZTF18acwutbr,SN Ia,0.011
-ZTF18acvrfvv,SN Ia,0.04
-ZTF18acvilwk,SN II,0.0154
-ZTF18acwyowc,SN Ia,0.076
-ZTF18acxgoki,SN Ic-BL,0.04
-ZTF18acusrws,SN Ia,0.032
-ZTF18acyctqi,SN Ia,0.076
-ZTF18acyarki,SN Ia,0.02586
-ZTF18acvwbos,SN Ia,0.03
-ZTF18acvwchp,SN Ia,0.0514
-ZTF18acxhvkv,SN Ia,0.032
-ZTF18acwzyor,SN IIn,0.02736
-ZTF18acuscgc,SN Ia,0.07
-ZTF18acusbdy,SN Ia,0.07
-ZTF18acvweal,SN Ia,0.08
-ZTF18acvguyi,SN Ia,0.045
-ZTF18aawmxdx,SN Ia,0.0425
-ZTF18acuimze,SN Ia,0.056
-ZTF18acuixmb,SN Ia,0.057
-ZTF18acurlbt,SN Ia,0.08
-ZTF18acuscrr,SN Ia,0.07
-ZTF18acdyypo,SN Ia,0.0502
-ZTF18acsofdh,SN Ia,0.08
-ZTF18acrxpzx,SN II,0.036
-ZTF18acuqskr,SN II,0.0446
-ZTF18acvgyst,SN II,0.034
-ZTF18adalgmc,SN Ia,0.036
-ZTF18acszaiy,SN II,0.03
-ZTF18acsyanq,SN Ia,0.06
-ZTF18acslpba,SN Ia,0.03013
-ZTF18acrdwag,SN Ia,0.04045
-ZTF18acslbve,SN Ia,0.05
-ZTF18acuring,SN II,0.037
-ZTF18acusnoa,SN Ia,0.089
-ZTF18acusegd,SN Ia,0.019213
-ZTF18acuefvt,SN Ia,0.07557
-ZTF18acrnfww,SN Ia,0.07
-ZTF18acrgunw,SN Ia,0.09
-ZTF18acsovsw,SN Ia,0.03
-ZTF18acurlbj,SN Ia,0.05
-ZTF18acusbyf,SN Ia,0.02
-ZTF18acsyaye,SN II,0.05
-ZTF18acsyzca,SN Ia,0.01458
-ZTF17aacwaxc,M dwarf,-1.0
-ZTF18acsxwdi,SLSN-II,0.1193
-ZTF18acszayr,SN II,0.021
-ZTF18acrvakb,SN Ia,0.079
-ZTF18acrlmvt,SN Ia,0.092
-ZTF18acrtykk,SN Ia,0.061
-ZTF18acrncou,SN Ia,0.08
-ZTF18acrflch,SN II,0.0286
-ZTF18acrwheu,SN II,0.034
-ZTF18acrtvmm,SN II,0.02345
-ZTF18achdidy,SLSN-I,0.163
-ZTF18acrxppd,SN Ia,0.03781
-ZTF18acrdmmw,SN Ia,0.05
-ZTF18acpefgk,SN Ia,0.11
-ZTF18aczddnw,SN Ia,0.01865
-ZTF18acrknyn,SN Ia,0.07
-ZTF19aaapnxn,SN Ia,0.028
-ZTF18acqsroy,SN II,0.0334
-ZTF18acqpqph,SN Ia,0.023118
-ZTF18acqppuj,SN II,0.04
-ZTF18acqpobb,SN Ia-91T-like,0.035
-ZTF18acqphpd,SN Ic,0.037
-ZTF18acrdlrp,SN Ia,0.01918
-ZTF18acrdciw,SN Ia-pec,0.05
-ZTF18acefuhk,SN II,0.057
-ZTF18acqxcga,SN Ia,0.03
-ZTF18acqsfxh,SN Ia,0.04184
-ZTF18acptgzz,SN Ia,0.09
-ZTF18abufaej,SN II,0.062
-ZTF18acrcogn,SN II,0.00379
-ZTF18acqqyah,SN Ia,0.01706
-ZTF18acqwdla,SN II,0.028
-ZTF18acnbeuu,SN Ia,0.102
-ZTF18acnmifq,SN IIb,0.073
-ZTF18acploez,SN II,0.04
-ZTF18acnbenl,SN Ia,0.065
-ZTF18acmzpbf,SN Ia,0.036
-ZTF18acmxkzj,SN Ia,0.041
-ZTF18acdwazf,SN Ia,0.03332
-ZTF18acnnxzz,SN Ia,0.0766
-ZTF18acmznfc,SN Ia,0.084
-ZTF18aceynvm,SN Ia,0.054
-ZTF18acnbgpw,SN Ia-91T-like,0.055
-ZTF18aceexmi,SN Ia,0.1
-ZTF18achyqcq,SN Ia,0.05
-ZTF18acdvvgx,SN II,0.02094
-ZTF18achtnvk,SN II,0.04
-ZTF18acnbgrb,SN Ia,0.0335
-ZTF18accnlji,SN Ia,0.09
-ZTF18acepwhb,SN Ia,0.066
-ZTF18abytyif,SN IIP,0.013
-ZTF18acbwchi,SN Ia,0.09
-ZTF18acqsqrg,SN IIP,0.0036
-ZTF18achbllm,SN Ia,0.04
-ZTF18achaqmd,SN Ia,0.03
-ZTF18aceathd,SN Ia,0.0599
-ZTF18acemhyb,SN Ia,0.054
-ZTF18aarybyq,AGN,0.0077
-ZTF18acclexy,SN Ia,0.08
-ZTF18acfwmqj,SN Ia,0.053
-ZTF18accsawg,SN Ia,0.1
-ZTF18acbznvp,SN Ia,0.06
-ZTF18accndxn,SN Ia,0.032
-ZTF18acchzkf,SN Ia,0.06
-ZTF18aakaajs,AGN,0.045
-ZTF18aapzqup,AGN,0.065
-ZTF18acdwohd,SN Ia,0.036
-ZTF18accmkud,SN II,0.04
-ZTF18acebefc,SN Ia,0.036
-ZTF18accnbgw,SN Ia-91T-like,0.07
-ZTF18accngfb,SN Ia,0.1
-ZTF18accwjiu,SN Ia,0.03282
-ZTF18acbxsgy,SN Ia,0.1
-ZTF18accngee,SN Ia-91T-like,0.083254
-ZTF18aaqkjuw,SN Ia,0.0966
-ZTF18acenqto,SLSN-I,0.16
-ZTF18abxbmqh,SLSN-II,0.206
-ZTF18acbznkf,SN Ia,0.11
-ZTF18accrorf,SN Ia,0.04
-ZTF18accnfrz,SN IIn,0.083
-ZTF18aabdgik,SN Ia,0.02169
-ZTF18acbxmvy,SN Ia,0.05
-ZTF18accjqzu,SN Ia,0.072
-ZTF18acckoil,SN Ia,0.029
-ZTF18acebssa,SN II,0.0296
-ZTF18abwlupf,SLSN-II,0.134
-ZTF18acurqaw,SN II,0.009
-ZTF18aaklpdo,SN Ia,0.046
-ZTF18aaadtdc,AGN,0.037
-ZTF18acbzpxx,SN Ia,0.0883
-ZTF18acbxsge,SN Ia,0.034
-ZTF18aakfabl,SN II,0.035
-ZTF18acbwasl,SN Ia,0.1
-ZTF18acbwtng,SN II,0.019
-ZTF18acbvcmw,SN Ia,0.073
-ZTF18acarupz,SN Ia,0.02
-ZTF18acbwarv,SN Ia,0.06
-ZTF18acbvgqw,SN Ia,0.008673
-ZTF18accnnyu,SN Ia,0.02891
-ZTF18acbvhfl,SLSN-II,0.13
-ZTF18abuicad,SLSN-II,0.135
-ZTF18acbwxgn,SN Ia,0.07
-ZTF18accbppp,SN Ia,0.0649
-ZTF18acbujhw,SN Ia,0.016945
-ZTF18acbufud,SN Ia,0.084
-ZTF18acbvnen,SN Ia,0.04
-ZTF18acbxkop,SN II,0.027
-ZTF18acbwtmf,SN Ia,0.06
-ZTF18acbvgry,SN Ia-pec,0.08
-ZTF18acbwghc,SN Ia,0.08
-ZTF18acbzoyh,SN IIb,0.05
-ZTF18acbwglb,SN II,0.03013
-ZTF18acbwvsp,SN IIn,0.017062
-ZTF18aawozzj,SN Ia,-1.0
-ZTF18acbzpag,SN Ia,0.07
-ZTF18acdvrfu,SN II,0.067
-ZTF18acbwopo,SN II,0.081
-ZTF18acbwxcc,SN Ic-BL,0.0362
-ZTF18acbwaax,SN Ia,0.073
-ZTF18acbwaxk,SN II,0.0024
-ZTF18accnoli,SN II,0.038
-ZTF18acdvvej,SN Ia,0.03
-ZTF18accdvny,SN Ia,0.01412
-ZTF18acbvhit,SN II,0.013856
-ZTF18accdvrb,SN Ia,0.016598
-ZTF18acbudzo,SN Ia,0.044
-ZTF18acbudzh,SN Ia,0.037
-ZTF18acbvahw,SN Ib,0.02
-ZTF18acaszeh,SN Ia,0.0429
-ZTF18accnmri,SN IIP,0.01969
-ZTF18acbzojv,SN Ia,0.02614
-ZTF18acrtwlx,SN II,0.0168
-ZTF18accbwow,SN II,0.029
-ZTF18abyzksx,SN Ia,0.1
-ZTF18acahuph,SN Ia-91T-like,0.0498
-ZTF18acbwasc,SN IIP,0.02
-ZTF18acakwsu,SN II,0.04
-ZTF18abxbmcl,SN IIP,0.01979
-ZTF18abxftqm,TDE,0.09
-ZTF18acbwawc,SN Ia,0.04
-ZTF18acaeous,SN Ia,0.059
-ZTF18abzbkby,SN Ia,0.0259
-ZTF18abztcib,CV,-1.0
-ZTF18abyzmsb,Varstar,-1.0
-ZTF18abvtrnc,SN Ia,0.09
-ZTF18abxygvv,SN Ia,0.08
-ZTF18abxbhov,SN IIn,0.0659
-ZTF18abzrgim,SN II,0.020811
-ZTF18abvfecb,SN II,0.125
-ZTF18abykswp,SN Ia,0.035795
-ZTF18abxyudf,SN Ia,0.11
-ZTF18abyxwrf,SN Ia,0.020908
-ZTF18abywcnl,SN Ia,0.025
-ZTF18abvsvjs,SN Ia,0.091
-ZTF18abxdkni,SN Ia,0.08
-ZTF18abwktmm,SN Ia,0.05
-ZTF18abvfjwt,SN Ic-BL,0.073
-ZTF18aceckot,SN Ic,0.0116
-ZTF18abvgjft,SN II,0.077
-ZTF18abtqevs,SN Ia,0.044
-ZTF18abxqemv,SN II,0.045
-ZTF18abwlsoi,SN II,0.05
-ZTF18abwdcdv,SN Ia,0.05019
-ZTF18abwkczr,SN Ia,0.027
-ZTF18abvptts,SN Ia-pec,0.05
-ZTF18abvlchy,SN Ia-91T-like,0.0875
-ZTF18abuatfp,SN Ia-CSM,0.137
-ZTF18abujbio,SN Ia,0.072
-ZTF18abtgnxs,AGN,0.017
-ZTF18abvgjgb,SN IIn,0.0819
-ZTF18abtgkdo,SN Ia,0.087
-ZTF18abupiap,SN Ia,0.1
-ZTF18abtmtfy,SN Ia,0.09
-ZTF18abvzdvj,SN II,0.051
-ZTF18abuhyjv,SN Ia,0.0471
-ZTF18abupgql,SN Ia,0.046
-ZTF18abuxjrd,SN Ia,0.0713
-ZTF18abtxvhy,SN Ia,0.072
-ZTF18absoomk,SN Ia,0.069
-ZTF18abvgivy,SN II,0.06465
-ZTF18abvglon,SN Ia,0.05
-ZTF18abulkrl,SN Ia,0.03
-ZTF18abuncpe,SN Ia,0.074
-ZTF18abuhzfc,SN Ia,0.0383
-ZTF18abucvbf,SN Ia,0.053
-ZTF18abtnlik,SN Ia,0.09
-ZTF18abujnlz,SN Ia,0.03
-ZTF18abtswjk,SN IIn,0.0503
-ZTF18abshezu,SLSN-I,0.23
-ZTF18abtmbaz,SN Ia,0.069
-ZTF18abukavn,SN Ic-BL,0.032
-ZTF18abuqugw,SN Ia,0.03104
-ZTF18abspqsn,SN Ia,0.034
-ZTF18abtfrbf,SN Ia,0.0569
-ZTF18abokhip,CV,-1.0
-ZTF18abskzjm,SN Ia,0.1
-ZTF18absliyc,SN Ic,0.08
-ZTF18abojpnr,SN IIb,0.0375
-ZTF18abtkqkb,SN Ia,0.08
-ZTF18abtrvkm,SN Ia,0.038643
-ZTF18abuykiu,SN Ia,0.0444
-ZTF18absnqyo,SN Ia,0.04
-ZTF18absbgqd,SN II,0.03
-ZTF18abtizrj,CV,-1.0
-ZTF18absspcp,SN Ia,0.0658
-ZTF18absgnio,SN Ia,0.06
-ZTF18abskoyh,SN II,0.025
-ZTF18absqhza,SN Ia,0.06
-ZTF18abshtdj,SN Ia,0.062556
-ZTF18abrzeym,SN Ia,0.056
-ZTF18abotcjv,SN Ia,0.062
-ZTF18aboebsg,SN Ia,0.1
-ZTF18abrytwr,SN Ia,0.06
-ZTF18abrzbyt,SN Ia,0.02766
-ZTF18abrzcgl,SN Ia,0.043
-ZTF18abrzbum,SN II,0.0183
-ZTF18abrlljc,SN IIP,0.05
-ZTF18absldfl,SN II,0.04
-ZTF17aaaukqn,CV,0.0
-ZTF18absnibc,CV,-1.0
-ZTF18aaybtnt,CV,-1.0
-ZTF18absmoql,CV,-1.0
-ZTF18abrwwzs,CV,-1.0
-ZTF18abqlpgq,SN Ia,0.095268
-ZTF18abpttky,SN Ia,0.084
-ZTF18abtrknw,SN II,0.037
-ZTF18absdgon,SN Ia,0.085
-ZTF18acgvgiq,SN II,0.01026
-ZTF18abrqedj,SN Ia,0.036745
-ZTF18absyyig,SN Ia,0.041
-ZTF18abpamut,SN Ia,0.074
-ZTF18absclsr,SN II,0.025
-ZTF18abqcsdq,CV,0.0
-ZTF18abomklq,SN Ia-91T-like,0.038854
-ZTF18abqjvyl,SN Ia,0.0877
-ZTF18abqyvzy,SN II,0.0148
-ZTF18abtfvsk,SN Ia,0.02
-ZTF18aboztku,SN Ia,0.0802
-ZTF18abnzocn,SN Ia,0.031
-ZTF18abqdadp,SN Ia,0.03955
-ZTF18abryqnn,SN Ia,0.063
-ZTF18abpaywm,SN Ia,0.045
-ZTF18abpmmpo,SN Ia,0.075
-ZTF18abokpvh,SN Ia,0.08
-ZTF18abnygkb,SN Ia,0.07
-ZTF18abrqfjs,CV,-1.0
-ZTF18abobkii,SN Ia,0.0597
-ZTF18abptzkg,CV,-1.0
-ZTF18abnyktn,CV,-1.0
-ZTF18abnuzzt,CV,-1.0
-ZTF18abmxdhb,SN Ia,0.07
-ZTF18abmjyvo,SN Ia,0.05584
-ZTF18abpmwlt,CV,-1.0
-ZTF18abpmwfx,CV,-1.0
-ZTF18abojrnv,CV,0.0
-ZTF17aaaobyl,CV,-1.0
-ZTF18abmnrgb,SN Ia,0.042
-ZTF18abnxhmc,SN Ia,0.076
-ZTF18abmwnov,SN Ia,0.04777
-ZTF18abntsgz,SN Ia,0.05
-ZTF18absgnbm,SN II,0.014
-ZTF18abnzlai,SN IIP,0.055
-ZTF18abmjvuf,SN Ia,0.075
-ZTF18abmxfrc,SN Ia,0.06
-ZTF18ablqkud,SN Ia,0.06808
-ZTF18abnoonq,CV,-1.0
-ZTF18abmqrwk,CV,-1.0
-ZTF17aaawgkc,CV,-1.0
-ZTF18abnuark,CV,-1.0
-ZTF18abokyfk,SN II,0.017189
-ZTF18abobvym,CV,-1.0
-ZTF18abmxmsv,SN Ia,0.1
-ZTF18abmoung,SN Ia,0.06589
-ZTF18abnbxsy,CV,-1.0
-ZTF18aaqkdwf,SN II,0.0913
-ZTF18ablwafp,SLSN-I,0.142
-ZTF18abmrhom,SN Ia,0.09
-ZTF18abkhdxe,SN Ia,0.105
-ZTF18abiybfq,SN Ia,0.032
-ZTF18abtvstb,SN IIb,0.021
-ZTF18ablqqqp,SN Ia,0.1
-ZTF18abmmdif,SN Ia,0.075
-ZTF18abmxahs,SN Ia,0.0148
-ZTF18abmxatl,CV,-1.0
-ZTF18abmmkaz,SN Ia,0.065
-ZTF18abmogag,SN Ia,0.0823
-ZTF18abmasep,SLSN-I,0.101
-ZTF18abmdoni,CV,-1.0
-ZTF18ablhvfr,SN Ia,0.085
-ZTF18ablqlzp,SN Ia,0.0414
-ZTF18abtzzka,SN Ia-91T-like,0.031
-ZTF18ablwhde,CV,-1.0
-ZTF18ablpmiy,CV,-1.0
-ZTF18ablongw,SN Ia,0.08181
-ZTF18ablvxkh,CV,-1.0
-ZTF18ablwtkf,SN Ia,0.053
-ZTF18abltdfj,SN Ia-91bg-like,0.03038
-ZTF18abltaxf,SN Ia,0.06
-ZTF18ablqjul,SN Ia,0.1
-ZTF18abmdpwe,SN II,0.018
-ZTF18actuhrs,SN Ia,0.029
-ZTF18abmbdbg,CV,-1.0
-ZTF18abncdhd,SN Ia,0.06
-ZTF18abolvoh,SN Ia,0.049
-ZTF18aasprui,SN Ia,0.038
-ZTF18ablvazp,CV,-1.0
-ZTF18ablovbj,CV,-1.0
-ZTF18abjdjge,SN Ia-91T-like,0.13
-ZTF18ablgqyq,CV,0.0
-ZTF18ablwrch,CV,-1.0
-ZTF18abltdkd,SN Ia,0.02
-ZTF18ablqehq,SN IIn,0.03069
-ZTF18aaoxryq,SN Ia,0.094
-ZTF18abjtger,SN Ia,0.106
-ZTF18abkudjo,SN Ia,0.09216
-ZTF18abkigee,SN Ia,0.1
-ZTF18abosrco,SN Ia,0.023823
-ZTF18abdfwur,SN Ia,0.07
-ZTF18aauebur,CV,-1.0
-ZTF18abjsjyx,CV,-1.0
-ZTF18abjzaic,CV,-1.0
-ZTF18abjtgdo,SN Ia,0.07393
-ZTF18abnuexr,SN II,0.015
-ZTF18abktmfz,SN Ib,0.020457
-ZTF18abimsyv,SN Ia,0.085
-ZTF18ablfqxm,CV,-1.0
-ZTF18abjsybd,CV,-1.0
-ZTF18abjsrdz,CV,-1.0
-ZTF18abkhbra,SN Ia,0.04
-ZTF18abjvhec,SN Ia,0.0569
-ZTF18abkhcwl,SN Ia,0.03164
-ZTF18abjwahi,SN Ia,0.1
-ZTF18abkhcrj,SN Ia,0.03823
-ZTF18abkijlr,CV,0.0
-ZTF18abhqdpv,SN Ia,0.0435
-ZTF18aavqdyq,SN II,0.026
-ZTF18abjrfqx,SN Ia,0.04
-ZTF18abiiqdl,SN II,0.03
-ZTF18abimhfu,SN II,0.05
-ZTF18aayoxjs,CV,-1.0
-ZTF18abjrdzt,CV,0.5548
-ZTF18abjgyyr,SN Ia,0.05
-ZTF18abgxvra,SN Ia,0.1
-ZTF18abgosbg,SN Ia,0.08
-ZTF18abccqmd,CV,0.0
-ZTF18abhxidv,SN Ia,0.07
-ZTF18abfwuwn,SN Ia,0.1
-ZTF18abixkjh,SN Ia,0.07
-ZTF18abgxyfz,CV,-1.0
-ZTF18abjrbza,SN Ic,0.01
-ZTF18aailmnv,SN Ia,0.08
-ZTF18abgqxlw,Varstar,-1.0
-ZTF18aaxuzxa,CV,-1.0
-ZTF18abhpzig,SN Ia,0.015
-ZTF18aawurud,SN Ia,0.05
-ZTF18abgmcmv,SN Ia-91T-like,0.018506
-ZTF18abhqaxd,CV,-1.0
-ZTF18abeyqpr,SN Ic,0.0472
-ZTF18abfzkno,SN Ia,0.09
-ZTF18abfzixe,SN IIP,0.034
-ZTF18abeegsl,SN Ia,0.072
-ZTF18abfgygp,SN Ia,0.07
-ZTF17aaburzk,CV,-1.0
-ZTF18abiinnl,SN Ia,0.02
-ZTF18abfzfcv,SN IIb,0.038
-ZTF18abdfydj,SN Ia,0.07
-ZTF18abjkryl,SN II,0.0154
-ZTF18abgkjff,SN Ia,0.045
-ZTF18abfmuvj,CV,-1.0
-ZTF18abdkimx,SN Ia,0.08
-ZTF18abebzog,SN Ia,0.044
-ZTF18aajupnt,AGN,0.0367
-ZTF18abesqnb,SN II,0.07
-ZTF18abetewu,SN Ia,0.077
-ZTF18abfzhct,SN Ic,0.04
-ZTF18abdpvnd,SN Ia,0.046
-ZTF18abetehf,SN Ia,0.064875
-ZTF18abfhaji,SN Ia,0.09
-ZTF18aajqcue,SLSN-I,0.0735
-ZTF18abgladq,SN IIP,0.0356
-ZTF18abeecwe,SN Ia,0.04
-ZTF18abfhryc,SN Ia,0.0323
-ZTF18abjovdz,SN II,0.024
-ZTF18abdkkwa,SN Ic,0.025318
-ZTF18abffyqp,SN II,0.031302
-ZTF18abeajml,SN II,0.03651
-ZTF18abcfdzu,SN IIP,0.125
-ZTF18abeaipj,SN Ia,0.08
-ZTF18abdrmin,SN Ia,0.05154
-ZTF18abcysdx,SN Ia,0.067
-ZTF18abecbks,SN Ic,0.03048
-ZTF18abdefet,SN Ia,0.075
-ZTF18aavjcpf,SLSN-II,0.169
-ZTF18abdiwpt,SN Ia,0.073
-ZTF18abdjmfh,SN IIP,0.03
-ZTF18abdhsfc,SN Ia-91T-like,0.067
-ZTF18abcvush,SN Ia,0.05
-ZTF18abdgwxn,SN Ia,0.0638
-ZTF18abdfazk,SN Ia,0.087
-ZTF18abdbuty,SN Ia,0.075
-ZTF18abcecfi,SN Ia,0.08
-ZTF18abcezmh,SN II,0.057
-ZTF18abdbysy,SN II,0.01127
-ZTF18abckutn,SN IIP,0.0401
-ZTF18abdfaqi,SN Ia,0.04828
-ZTF18abcsgvj,SN Ia,0.06
-ZTF18abclfee,SN Iax[02cx-like],0.03
-ZTF18abdfwcy,SN IIP,0.014
-ZTF18abcrzfz,SN Ia,0.062
-ZTF18abcrxoj,SN Ia,0.0309
-ZTF18abcrtnq,SN Ia,0.10151
-ZTF18abckujg,SN Ia,0.074
-ZTF18abbpeqo,SN Ia,0.06678
-ZTF18abceakp,SN II,0.03
-ZTF18abbovuc,SN Ic,0.039
-ZTF18aayidfz,SN Ia,0.067
-ZTF18abcflnz,SN Ia,0.024
-ZTF18abcpmwh,SN IIP,0.015432
-ZTF18abcptmt,SN II,0.05
-ZTF18aazhwnh,SN Ia,0.0907
-ZTF18abcdzyc,SN Ia,0.056
-ZTF18abakjgq,SN Ia,0.054
-ZTF18abaelhi,SN II,0.02253
-ZTF18aayivxm,SN Ia,0.1
-ZTF18aawrmhl,CV,-1.0
-ZTF18abbvsiv,SN Ia,0.051
-ZTF18abaxlpi,SN Ia,0.0646
-ZTF18aazndjw,CV,-1.0
-ZTF18aamftst,SN IIn,0.0378
-ZTF18abcxyjp,SN Ia,0.04216
-ZTF18aazjztm,SN Ia,0.072
-ZTF18aazabmh,SN Ia,0.073
-ZTF18aazrdpr,CV,-1.0
-ZTF18abadjhx,SN Ia,0.076
-ZTF18aazsabq,SN Ia,0.05
-ZTF18aaykjei,SN Ia-pec,0.097
-ZTF18aaytovs,SN Ia-91T-like,0.076
-ZTF18aazcoob,SN Ia,0.088
-ZTF18aazblzy,SN Ia,0.064
-ZTF18abbpxik,SN II,0.03236
-ZTF18abbpyvk,SN IIP,0.02218
-ZTF18abcfcoo,SN Ic-BL,0.0
-ZTF18aazixbw,SN Ia,0.0594
-ZTF18aaydmkh,SN Ia,0.0845
-ZTF18aaxtcdm,SN Ia,0.075
-ZTF18aaxvpsw,SN Ia,0.0916
-ZTF18aaxwjmp,SN Ia,0.08
-ZTF18aayjyub,SN Ia,0.03
-ZTF18aayxupv,SN Ia,0.047
-ZTF18aaxqyki,SN Ia,0.1
-ZTF18aayjvve,SN Ia,0.04727
-ZTF18aaxxewy,SN Ia,0.082
-ZTF18abauprj,SN Ia-91T-like,0.028
-ZTF18abbodly,SN Ia,0.0188
-ZTF18aaxkjmm,SN Ia,0.0661
-ZTF18aaxmhvk,SN Ia,0.08
-ZTF18aazgfkq,SN Ia,-1.0
-ZTF18aatlfus,SN IIP,0.0451
-ZTF18abaeawz,SN Ia,0.1
-ZTF18aasufva,SLSN-II,0.083
-ZTF18aawpcel,SN Ia,0.156
-ZTF18aaygwqd,SN Ib,0.035
-ZTF18aaxjuwy,SN IIn,0.0828
-ZTF18aaydbyc,CV,0.0
-ZTF18aauvnhh,SN Ia,0.058
-ZTF18abcyues,SN II,0.03763
-ZTF18aavpady,SN II,0.047
-ZTF18aaxsioa,SN Ia,0.03
-ZTF18aaxiuyp,SN Ic,0.0303
-ZTF18aaxcfbt,SN Ia,0.0689
-ZTF18aauhxce,SN Ia,0.08308
-ZTF18aawxlxf,SN Ia,0.08213
-ZTF18aaxdrjn,SN Ia,0.0339
-ZTF18aaxnqjb,SN II,0.054
-ZTF18aaqqhis,SN Ia,0.06
-ZTF18aawyjjq,SN II,0.04
-ZTF18aaxavsk,SN Ia,0.08
-ZTF18aaxcntm,SN Ia,0.026792
-ZTF18aawjywv,SN Ia,0.04
-ZTF18aaxkqgy,SN IIP,0.02
-ZTF18aaqqoqs,SN Ia-91T-like,0.08
-ZTF18aataafd,SN Ia,0.077
-ZTF18aarxzmv,SN Ia,0.07
-ZTF18aalbpll,SN II,0.025
-ZTF18aauocnw,SN Ia,0.1
-ZTF18aavnxar,SN Ia,0.085
-ZTF18aapgrxo,SLSN-I,0.267
-ZTF18aaylcvo,SN Ia,0.046
-ZTF18aavnvmp,SN Ia,0.064
-ZTF18aavrwhu,SN Ia,0.062
-ZTF18aauxzle,SN II,0.04
-ZTF18aavskep,SN IIn,0.046
-ZTF18aauworo,SN Ia,0.04981
-ZTF18aauenwu,SN IIn,0.0475
-ZTF18aaqkqxi,SN Ia,0.0761
-ZTF18aaqjovh,SN Ic-BL,0.054
-ZTF18aazhklh,SN Ib,0.02417
-ZTF18aaqcqvr,SN Ia,0.07
-ZTF18aarqnje,SN Ia,0.115
-ZTF18aatyqds,SN IIP,0.02
-ZTF18aaslhxt,SN Ia,0.06
-ZTF18aasxvsg,SN II,0.0248
-ZTF18aaumlfl,SN Ia,0.08737
-ZTF18aauizcr,SN Ia,0.03384
-ZTF18aatzygk,SN Ia,0.08
-ZTF18aauxltf,SN Ia,0.059
-ZTF18abtuzsb,CV,0.0
-ZTF18aarpttw,SN II,0.047
-ZTF18aaumeys,SN Ia-91T-like,0.03754
-ZTF18aayyxxp,SN IIP,0.023
-ZTF18aakctzv,SN IIP,0.0232
-ZTF18aaqcozd,SN Ia,0.073
-ZTF18aaqgadq,SN Ia,0.0719
-ZTF18aaroihe,SN Ia,0.04825
-ZTF18aarasof,SN IIn,0.044
-ZTF18aasdted,SN Ia,0.01815
-ZTF18aaqskoy,SN Ia,0.085
-ZTF18aaqffyp,SN Ia,0.073
-ZTF18aaqfziz,SN Ia,0.054
-ZTF18aasycpd,SN IIb,0.04502
-ZTF18aaqcugm,SN Ia,0.06
-ZTF18aaripcr,SN Ia,0.033927
-ZTF18aavrmcg,SLSN-I,0.08
-ZTF18aapsedq,SN Ia,0.07
-ZTF18aaqehoc,SN Ia,0.0622
-ZTF18aaqkoyr,SN II,0.023894
-ZTF18aaphzut,SN Ia,0.086
-ZTF18aakrnvd,SN IIn,0.0453
-ZTF18aaqgbju,SN Ia,0.1
-ZTF18aaqedfj,SN Ia,0.0623
-ZTF18aaqfqaa,SN II,0.0218
-ZTF18aaovbiy,SN Ia,0.08
-ZTF18aapictz,SN Ia-91T-like,0.09
-ZTF18aakzliv,SN Ia,0.09
-ZTF18aajtlbf,SN Ia,0.028
-ZTF18aakecej,SN Ia,0.06645
-ZTF18aaiajvb,SN Ia-91bg-like,0.1
-ZTF18aaitowa,SN Ia,0.116
-ZTF18aaibibr,SN Ia,0.062
-ZTF18aairuad,SN Ia,0.064
-ZTF18aaisyyp,SN Ic,0.132
-ZTF18abtvinn,AGN,0.056
-ZTF18aahmhxu,SLSN-II,0.167
-ZTF18aagtdce,SN Ia,0.032
-ZTF18aahfzea,SN Ia,0.024
-ZTF18aahfqbc,SN II,0.003319
-ZTF18aamfrvy,SN IIP,-1.0
-ZTF18aabssth,SN II,0.023
-ZTF18aahhbkj,SN II,0.066
-ZTF18aabstmw,SN Ia,0.023
-ZTF18aaayemw,SN II,0.052
-ZTF18abzbukt,CV,-1.0
-ZTF18aainvic,SN II,0.03175
-ZTF18aaccuih,SN Ia,0.032
-ZTF20aakugak,CV,-1.0
-ZTF18acxhfkq,CV,-1.0
-ZTF18abtuzwc,CV,-1.0
-ZTF18abajlni,CV,-1.0
-ZTF19acdgwhq,SN Ia,0.028593
-ZTF18abktleu,CV,-1.0
-ZTF18abskbng,CV,-1.0
-ZTF18abnvuya,CV,-1.0
-ZTF18ablwqqf,Varstar,0.0
-ZTF18abckxfb,CV,-1.0
-ZTF17aaapufz,LBV,0.00261
-ZTF18aagrtxs,SN Ia,0.02966
-ZTF18aagstdc,SN Ia,0.03
-ZTF18aagtcxj,SN Ia,0.032
-ZTF18aagtwyh,SN Ia,0.06604
-ZTF18aaupmks,SN Ia,0.04
-ZTF18aauqdyb,SN Ia-91T,0.12
-ZTF18abfbbyh,SN Ia,0.076
-ZTF18ablrljh,SN Ia,0.094
-ZTF18abmkaps,SN Ia-91T,0.074
-ZTF18abotdef,SN Ia,0.062
-ZTF18abxtvqc,SN Ia,0.073
-ZTF19aaagfme,SN Ia,0.055
-ZTF19aabyuze,SN Ia,0.043
-ZTF19aadaszg,SN Ia,0.0215
-ZTF19aambfxc,SN Ia,0.055
-ZTF19aamgttu,SN Ia,0.0308
-ZTF19aamkfvy,SN II,0.03
-ZTF19aamkfxb,SN Ia,0.095
-ZTF19aaqtyku,SN Ia,0.0234
-ZTF19aawwlxc,SN Ia-91T,0.0557
-ZTF19abrdnty,SN Ia,0.06
-ZTF19abtnbtt,SN Ia,0.065
-ZTF19abwswzb,SN Ia,0.041
-ZTF19abyflzw,SN Ia,0.13
-ZTF19acrcupt,SN Ia,0.06
-ZTF19adbsblp,SN II,0.0406
-ZTF19adcetym,SN Ia,0.0652
-ZTF20aaertpj,SN Ib,0.02875
-ZTF20aakzbfh,SN II,0.041
-ZTF20aammicx,SN Ia,0.08
-ZTF20abmihnc,SN II,-1.0
-ZTF20aclwwhz,SN Ia,0.09
-ZTF20acmfacr,SN Ia,0.07
-ZTF20acnwjwp,SN Ia,0.08
-ZTF20acpbboa,SN II,0.0475
-ZTF20acpbbqf,SN Ia,0.0445
-ZTF21aagmryd,SN Ia,0.02748
-ZTF21aallfyn,SN Ia,0.07
-ZTF21aarzgql,SN Ia,0.1
-ZTF21aateglh,SN Ia,0.09
-ZTF21abfnjiu,SN Ia,0.069
-ZTF21abnabtv,SN Ia,0.03445
-ZTF22aajtaem,SN Ia,0.02577
-ZTF22aalwnjf,SN Ia,0.051
-ZTF22aamjqvc,SN II,0.03
-ZTF22aaoemmz,SN Ia,0.105
-ZTF22aaooldm,SN Ia,0.08
-ZTF22aaoolfh,SN Ia,0.04
-ZTF22aaoqlos,SN Ia,0.056
-ZTF22aapuvqy,SN Ia,0.0497
-ZTF22aasaapb,SN Ia,0.046
-ZTF22aasthrj,SN Ia,0.078
-ZTF22abaucrh,SN Ia,0.032
-ZTF22abtctzp,SN II,0.05
-ZTF22abyagmy,SN Ia,0.066
-ZTF22abzdcar,SN Ia,0.065
-ZTF22abzfotk,SN Ia,0.088
-ZTF22abzkion,SN Ia,0.08
-ZTF22abzrrpn,SN Ia,0.09
-ZTF22abzvyku,SN Ia,0.06
-ZTF22acaxuzp,SN Ia,0.043
-ZTF23aaaasoh,SN Ia,0.035
-ZTF23aabyhrz,SN Ia,0.039
-ZTF23aacbziz,SN Ia,0.05725
-ZTF23aacdggx,SN Ia,0.067
-ZTF23aacdlvr,SN Ia,0.081
-ZTF23aacdnjz,SN Ia-CSM,0.17
-ZTF23aacjeou,SN Ia,0.07082
-ZTF23aacnkyh,SN Ia,0.06
-ZTF23aacvise,SN Ia,0.048
-ZTF23aaetmwj,SN Ia,0.066
diff --git a/tests/data/ztf_lcs/ZTF17aaaobyl.npz b/tests/data/ztf_lcs/ZTF17aaaobyl.npz
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diff --git a/tests/data/ztf_lcs/ZTF17aaapufz.npz b/tests/data/ztf_lcs/ZTF17aaapufz.npz
deleted file mode 100644
index 12b00eea..00000000
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diff --git a/tests/superphot_plus/data_generation/.pymon b/tests/superphot_plus/data_generation/.pymon
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