diff --git a/analysis/validation.ipynb b/analysis/validation.ipynb
index 224e88c..0b17db5 100644
--- a/analysis/validation.ipynb
+++ b/analysis/validation.ipynb
@@ -1,5 +1,17 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bb22f42a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Auto-reload edited modules (e.g. giant.analysis) without restarting the kernel.\n",
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f65c3ad9",
@@ -17,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 2,
    "id": "1b65ca80",
    "metadata": {},
    "outputs": [],
@@ -41,29 +53,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 3,
    "id": "f2752229",
    "metadata": {},
    "outputs": [
     {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mKeyboardInterrupt\u001b[39m                         Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m      2\u001b[39m \u001b[38;5;66;03m# parquet (no SampleCollection, no row subsampling) so this covers every row\u001b[39;00m\n\u001b[32m      3\u001b[39m \u001b[38;5;66;03m# in the file regardless of size. \"energy\"/\"pdg\"/\"material\" stratify the\u001b[39;00m\n\u001b[32m      4\u001b[39m \u001b[38;5;66;03m# aggregate check so a failure hidden by the overall KL doesn't go unnoticed.\u001b[39;00m\n\u001b[32m      5\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m grouping \u001b[38;5;28;01min\u001b[39;00m [\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"energy\"\u001b[39m, \u001b[33m\"pdg\"\u001b[39m, \u001b[33m\"material\"\u001b[39m]:\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m     fig = plot_kl_bars_pl(FILE, group_by=grouping)\n\u001b[32m      7\u001b[39m     fig.show()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/giant/analysis.py:716\u001b[39m, in \u001b[36mplot_kl_bars_pl\u001b[39m\u001b[34m(source, group_by, n_energy_bins, bins, max_groups, figsize)\u001b[39m\n\u001b[32m    708\u001b[39m         table = _limit_groups_by_kl_n(table, max_groups)\n\u001b[32m    709\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m _plot_kl_bars(table, figsize=figsize)\n\u001b[32m    712\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mplot_kl_bars_pl\u001b[39m(\n\u001b[32m    713\u001b[39m     source: \u001b[38;5;28mstr\u001b[39m | Path | pl.LazyFrame,\n\u001b[32m    714\u001b[39m     group_by: \u001b[38;5;28mstr\u001b[39m | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m    715\u001b[39m     n_energy_bins: \u001b[38;5;28mint\u001b[39m = \u001b[32m4\u001b[39m,\n\u001b[32m--> \u001b[39m\u001b[32m716\u001b[39m     bins: \u001b[38;5;28mint\u001b[39m = \u001b[32m50\u001b[39m,\n\u001b[32m    717\u001b[39m     max_groups: \u001b[38;5;28mint\u001b[39m = \u001b[32m6\u001b[39m,\n\u001b[32m    718\u001b[39m     figsize: \u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mfloat\u001b[39m, \u001b[38;5;28mfloat\u001b[39m] = (\u001b[32m8\u001b[39m, \u001b[32m4\u001b[39m),\n\u001b[32m    719\u001b[39m ):\n\u001b[32m    720\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"Polars duplicate of `plot_kl_bars`, reading straight from a predict parquet.\u001b[39;00m\n\u001b[32m    721\u001b[39m \n\u001b[32m    722\u001b[39m \u001b[33;03m    Built on top of `marginal_table_pl`; see that function for the `source`\u001b[39;00m\n\u001b[32m    723\u001b[39m \u001b[33;03m    argument and why it stays lazy until the final per-(group, dim) collect.\u001b[39;00m\n\u001b[32m    724\u001b[39m \u001b[33;03m    See `plot_kl_bars` for the `max_groups` capping behavior.\u001b[39;00m\n\u001b[32m    725\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m    726\u001b[39m     table = marginal_table_pl(\n\u001b[32m    727\u001b[39m         source, group_by=group_by, n_energy_bins=n_energy_bins, bins=bins\n\u001b[32m    728\u001b[39m     ).to_pandas()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/giant/analysis.py:572\u001b[39m, in \u001b[36mmarginal_table_pl\u001b[39m\u001b[34m(source, group_by, n_energy_bins, bins)\u001b[39m\n\u001b[32m    565\u001b[39m         pair = glf.select(\n\u001b[32m    566\u001b[39m             [\n\u001b[32m    567\u001b[39m                 _raw_expr(true_cols[j], j).alias(\u001b[33m\"\u001b[39m\u001b[33mreal\u001b[39m\u001b[33m\"\u001b[39m),\n\u001b[32m    568\u001b[39m                 _raw_expr(pred_cols[j], j).alias(\u001b[33m\"\u001b[39m\u001b[33mgen\u001b[39m\u001b[33m\"\u001b[39m),\n\u001b[32m    569\u001b[39m             ]\n\u001b[32m    570\u001b[39m         ).collect()\n\u001b[32m    571\u001b[39m         real_s, gen_s = pair[\u001b[33m\"\u001b[39m\u001b[33mreal\u001b[39m\u001b[33m\"\u001b[39m], pair[\u001b[33m\"\u001b[39m\u001b[33mgen\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m--> \u001b[39m\u001b[32m572\u001b[39m         rows.append(\n\u001b[32m    573\u001b[39m             {\n\u001b[32m    574\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mgroup\u001b[39m\u001b[33m\"\u001b[39m: label,\n\u001b[32m    575\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mdim\u001b[39m\u001b[33m\"\u001b[39m: name,\n\u001b[32m    576\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mn\u001b[39m\u001b[33m\"\u001b[39m: n,\n\u001b[32m    577\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mreal_mean\u001b[39m\u001b[33m\"\u001b[39m: real_s.mean(),\n\u001b[32m    578\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mgen_mean\u001b[39m\u001b[33m\"\u001b[39m: gen_s.mean(),\n\u001b[32m    579\u001b[39m                 \u001b[38;5;66;03m# ddof=0 to match numpy's (population-std) default used by marginal_table\u001b[39;00m\n\u001b[32m    580\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mreal_std\u001b[39m\u001b[33m\"\u001b[39m: real_s.std(ddof=\u001b[32m0\u001b[39m),\n\u001b[32m    581\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mgen_std\u001b[39m\u001b[33m\"\u001b[39m: gen_s.std(ddof=\u001b[32m0\u001b[39m),\n\u001b[32m    582\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mkl_real_gen\u001b[39m\u001b[33m\"\u001b[39m: _histogram_kl_pl(real_s, gen_s, bins=bins),\n\u001b[32m    583\u001b[39m             }\n\u001b[32m    584\u001b[39m         )\n\u001b[32m    585\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m pl.DataFrame(rows).sort(\u001b[33m\"\u001b[39m\u001b[33mkl_real_gen\u001b[39m\u001b[33m\"\u001b[39m, descending=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/giant/analysis.py:484\u001b[39m, in \u001b[36m_histogram_kl_pl\u001b[39m\u001b[34m(p, q, bins, eps)\u001b[39m\n\u001b[32m      0\u001b[39m <Error retrieving source code with stack_data see ipython/ipython#13598>\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/_utils/unstable.py:56\u001b[39m, in \u001b[36munstable.<locals>.decorate.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m     53\u001b[39m \u001b[38;5;129m@wraps\u001b[39m(function)\n\u001b[32m     54\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mwrapper\u001b[39m(*args: P.args, **kwargs: P.kwargs) -> T:\n\u001b[32m     55\u001b[39m     issue_unstable_warning(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m`\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunction.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m` is considered unstable.\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m56\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mfunction\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/series/series.py:2841\u001b[39m, in \u001b[36mSeries.hist\u001b[39m\u001b[34m(self, bins, bin_count, include_category, include_breakpoint)\u001b[39m\n\u001b[32m   2791\u001b[39m \u001b[38;5;129m@unstable\u001b[39m()\n\u001b[32m   2792\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mhist\u001b[39m(\n\u001b[32m   2793\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   2798\u001b[39m     include_breakpoint: \u001b[38;5;28mbool\u001b[39m = \u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[32m   2799\u001b[39m ) -> DataFrame:\n\u001b[32m   2800\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m   2801\u001b[39m \u001b[33;03m    Bin values into buckets and count their occurrences.\u001b[39;00m\n\u001b[32m   2802\u001b[39m \n\u001b[32m   (...)\u001b[39m\u001b[32m   2837\u001b[39m \u001b[33;03m    └────────────┴─────────────┴───────┘\u001b[39;00m\n\u001b[32m   2838\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m   2839\u001b[39m     out = (\n\u001b[32m   2840\u001b[39m         \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mto_frame\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m-> \u001b[39m\u001b[32m2841\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mselect_seq\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   2842\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mF\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcol\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mname\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mhist\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   2843\u001b[39m \u001b[30;43m                \u001b[39;49m\u001b[30;43mbins\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mbins\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2844\u001b[39m \u001b[30;43m                \u001b[39;49m\u001b[30;43mbin_count\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mbin_count\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2845\u001b[39m \u001b[30;43m                \u001b[39;49m\u001b[30;43minclude_category\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43minclude_category\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2846\u001b[39m \u001b[30;43m                \u001b[39;49m\u001b[30;43minclude_breakpoint\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43minclude_breakpoint\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2847\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m   2848\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m   2849\u001b[39m         .to_series()\n\u001b[32m   2850\u001b[39m     )\n\u001b[32m   2851\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m include_breakpoint \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m include_category:\n\u001b[32m   2852\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m out.to_frame()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/dataframe/frame.py:10447\u001b[39m, in \u001b[36mDataFrame.select_seq\u001b[39m\u001b[34m(self, *exprs, **named_exprs)\u001b[39m\n\u001b[32m  10443\u001b[39m \n\u001b[32m  10444\u001b[39m         return (\n\u001b[32m  10445\u001b[39m             self.lazy()\n\u001b[32m  10446\u001b[39m             .select_seq(*exprs, **named_exprs)\n\u001b[32m> \u001b[39m\u001b[32m10447\u001b[39m             .collect(optimizations=QueryOptFlags._eager())\n\u001b[32m  10448\u001b[39m         )\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/_utils/deprecation.py:97\u001b[39m, in \u001b[36mdeprecate_streaming_parameter.<locals>.decorate.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m     93\u001b[39m         kwargs[\u001b[33m\"\u001b[39m\u001b[33mengine\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[33m\"\u001b[39m\u001b[33min-memory\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m     95\u001b[39m     \u001b[38;5;28;01mdel\u001b[39;00m kwargs[\u001b[33m\"\u001b[39m\u001b[33mstreaming\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m---> \u001b[39m\u001b[32m97\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mfunction\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/lazyframe/opt_flags.py:343\u001b[39m, in \u001b[36mforward_old_opt_flags.<locals>.decorate.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    340\u001b[39m         optflags = cb(optflags, kwargs.pop(key))  \u001b[38;5;66;03m# type: ignore[no-untyped-call,unused-ignore]\u001b[39;00m\n\u001b[32m    342\u001b[39m kwargs[\u001b[33m\"\u001b[39m\u001b[33moptimizations\u001b[39m\u001b[33m\"\u001b[39m] = optflags\n\u001b[32m--> \u001b[39m\u001b[32m343\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mfunction\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/polars/lazyframe/frame.py:2630\u001b[39m, in \u001b[36mLazyFrame.collect\u001b[39m\u001b[34m(self, type_coercion, predicate_pushdown, projection_pushdown, simplify_expression, slice_pushdown, comm_subplan_elim, comm_subexpr_elim, cluster_with_columns, collapse_joins, no_optimization, engine, background, optimizations, **_kwargs)\u001b[39m\n\u001b[32m   2626\u001b[39m             \u001b[38;5;28;01mreturn\u001b[39;00m InProcessQuery(ldf.collect_concurrently())\n\u001b[32m   2627\u001b[39m \n\u001b[32m   2628\u001b[39m         \u001b[38;5;66;03m# Only for testing purposes\u001b[39;00m\n\u001b[32m   2629\u001b[39m         callback = _kwargs.get(\u001b[33m\"post_opt_callback\"\u001b[39m, callback)\n\u001b[32m-> \u001b[39m\u001b[32m2630\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m wrap_df(ldf.collect(engine, callback))\n",
-      "\u001b[31mKeyboardInterrupt\u001b[39m: "
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_160109/3415847466.py:7: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "  fig.show()\n",
+      "/tmp/ipykernel_160109/3415847466.py:7: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "  fig.show()\n",
+      "/tmp/ipykernel_160109/3415847466.py:7: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "  fig.show()\n",
+      "/tmp/ipykernel_160109/3415847466.py:7: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "  fig.show()\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -88,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "6f0903ac",
    "metadata": {},
    "outputs": [],
@@ -102,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "6d292c9c",
    "metadata": {},
    "outputs": [
@@ -127,7 +173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "79e066b1",
    "metadata": {},
    "outputs": [
@@ -148,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "d5a0bdb6",
    "metadata": {},
    "outputs": [
@@ -177,13 +223,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "8cdb9c2a",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1300x400 with 6 Axes>"
       ]
@@ -201,56 +247,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "e88c8bd9",
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Error in callback <function flush_figures at 0x7f8f94074a40> (for post_execute), with arguments args (),kwargs {}:\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mKeyboardInterrupt\u001b[39m                         Traceback (most recent call last)",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib_inline/backend_inline.py:126\u001b[39m, in \u001b[36mflush_figures\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m    123\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m InlineBackend.instance().close_figures:\n\u001b[32m    124\u001b[39m     \u001b[38;5;66;03m# ignore the tracking, just draw and close all figures\u001b[39;00m\n\u001b[32m    125\u001b[39m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m126\u001b[39m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mshow\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43;01mTrue\u001b[39;49;00m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    127\u001b[39m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m    128\u001b[39m         \u001b[38;5;66;03m# safely show traceback if in IPython, else raise\u001b[39;00m\n\u001b[32m    129\u001b[39m         ip = get_ipython()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib_inline/backend_inline.py:90\u001b[39m, in \u001b[36mshow\u001b[39m\u001b[34m(close, block)\u001b[39m\n\u001b[32m     88\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m     89\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m figure_manager \u001b[38;5;129;01min\u001b[39;00m Gcf.get_all_fig_managers():\n\u001b[32m---> \u001b[39m\u001b[32m90\u001b[39m         \u001b[30;43mdisplay\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m     91\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mfigure_manager\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcanvas\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mfigure\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m     92\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mmetadata\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43m_fetch_figure_metadata\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mfigure_manager\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mcanvas\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mfigure\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m     93\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     94\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m     95\u001b[39m     show._to_draw = []\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/decorator/__init__.py:247\u001b[39m, in \u001b[36mdecorate.<locals>.fun\u001b[39m\u001b[34m(*args, **kw)\u001b[39m\n\u001b[32m    245\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[32m    246\u001b[39m     args, kw = fix(args, kw, sig)\n\u001b[32m--> \u001b[39m\u001b[32m247\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mcaller\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mfunc\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mextras\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m+\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkw\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/backend_bases.py:2281\u001b[39m, in \u001b[36mFigureCanvasBase.print_figure\u001b[39m\u001b[34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[39m\n\u001b[32m   2277\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m   2278\u001b[39m     \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[32m   2279\u001b[39m     \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[32m   2280\u001b[39m     \u001b[38;5;28;01mwith\u001b[39;00m cbook._setattr_cm(\u001b[38;5;28mself\u001b[39m.figure, dpi=dpi):\n\u001b[32m-> \u001b[39m\u001b[32m2281\u001b[39m         result = \u001b[30;43mprint_method\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   2282\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mfilename\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2283\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mfacecolor\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mfacecolor\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2284\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43medgecolor\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43medgecolor\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2285\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43morientation\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43morientation\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2286\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43mbbox_inches_restore\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43m_bbox_inches_restore\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m   2287\u001b[39m \u001b[30;43m            \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m   2288\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m   2289\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/backend_bases.py:2138\u001b[39m, in \u001b[36mFigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m   2134\u001b[39m     optional_kws = {  \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[32m   2135\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mdpi\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mfacecolor\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33medgecolor\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33morientation\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m   2136\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mbbox_inches_restore\u001b[39m\u001b[33m\"\u001b[39m}\n\u001b[32m   2137\u001b[39m     skip = optional_kws - {*inspect.signature(meth).parameters}\n\u001b[32m-> \u001b[39m\u001b[32m2138\u001b[39m     print_method = functools.wraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m *args, **kwargs: \u001b[30;43mmeth\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   2139\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m{\u001b[39;49m\u001b[30;43mk\u001b[39;49m\u001b[30;43m:\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mv\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43;01mfor\u001b[39;49;00m\u001b[30;43m \u001b[39;49m\u001b[30;43mk\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mv\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43;01min\u001b[39;49;00m\u001b[30;43m \u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mitems\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43;01mif\u001b[39;49;00m\u001b[30;43m \u001b[39;49m\u001b[30;43mk\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43;01mnot\u001b[39;49;00m\u001b[30;43m \u001b[39;49m\u001b[30;43;01min\u001b[39;49;00m\u001b[30;43m \u001b[39;49m\u001b[30;43mskip\u001b[39;49m\u001b[30;43m}\u001b[39;49m\u001b[30;43m)\u001b[39;49m)\n\u001b[32m   2140\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:  \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[32m   2141\u001b[39m     print_method = meth\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/backends/backend_agg.py:537\u001b[39m, in \u001b[36mFigureCanvasAgg.print_png\u001b[39m\u001b[34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[39m\n\u001b[32m    490\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, *, metadata=\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs=\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[32m    491\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m    492\u001b[39m \u001b[33;03m    Write the figure to a PNG file.\u001b[39;00m\n\u001b[32m    493\u001b[39m \n\u001b[32m   (...)\u001b[39m\u001b[32m    535\u001b[39m \u001b[33;03m        *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[32m    536\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m537\u001b[39m     \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_print_pil\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mfilename_or_obj\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m\"\u001b[39;49m\u001b[30;43mpng\u001b[39;49m\u001b[30;43m\"\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mpil_kwargs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mmetadata\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/backends/backend_agg.py:485\u001b[39m, in \u001b[36mFigureCanvasAgg._print_pil\u001b[39m\u001b[34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[39m\n\u001b[32m    480\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_print_pil\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, fmt, pil_kwargs, metadata=\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[32m    481\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m    482\u001b[39m \u001b[33;03m    Draw the canvas, then save it using `.image.imsave` (to which\u001b[39;00m\n\u001b[32m    483\u001b[39m \u001b[33;03m    *pil_kwargs* and *metadata* are forwarded).\u001b[39;00m\n\u001b[32m    484\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m485\u001b[39m     \u001b[30;43mFigureCanvasAgg\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    486\u001b[39m     mpl.image.imsave(\n\u001b[32m    487\u001b[39m         filename_or_obj, \u001b[38;5;28mself\u001b[39m.buffer_rgba(), \u001b[38;5;28mformat\u001b[39m=fmt, origin=\u001b[33m\"\u001b[39m\u001b[33mupper\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m    488\u001b[39m         dpi=\u001b[38;5;28mself\u001b[39m.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs)\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/backends/backend_agg.py:438\u001b[39m, in \u001b[36mFigureCanvasAgg.draw\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m    435\u001b[39m \u001b[38;5;66;03m# Acquire a lock on the shared font cache.\u001b[39;00m\n\u001b[32m    436\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m (\u001b[38;5;28mself\u001b[39m.toolbar._wait_cursor_for_draw_cm() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.toolbar\n\u001b[32m    437\u001b[39m       \u001b[38;5;28;01melse\u001b[39;00m nullcontext()):\n\u001b[32m--> \u001b[39m\u001b[32m438\u001b[39m     \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mfigure\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    439\u001b[39m     \u001b[38;5;66;03m# A GUI class may be need to update a window using this draw, so\u001b[39;00m\n\u001b[32m    440\u001b[39m     \u001b[38;5;66;03m# don't forget to call the superclass.\u001b[39;00m\n\u001b[32m    441\u001b[39m     \u001b[38;5;28msuper\u001b[39m().draw()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/artist.py:94\u001b[39m, in \u001b[36m_finalize_rasterization.<locals>.draw_wrapper\u001b[39m\u001b[34m(artist, renderer, *args, **kwargs)\u001b[39m\n\u001b[32m     92\u001b[39m \u001b[38;5;129m@wraps\u001b[39m(draw)\n\u001b[32m     93\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mdraw_wrapper\u001b[39m(artist, renderer, *args, **kwargs):\n\u001b[32m---> \u001b[39m\u001b[32m94\u001b[39m     result = \u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43martist\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     95\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m renderer._rasterizing:\n\u001b[32m     96\u001b[39m         renderer.stop_rasterizing()\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/artist.py:71\u001b[39m, in \u001b[36mallow_rasterization.<locals>.draw_wrapper\u001b[39m\u001b[34m(artist, renderer)\u001b[39m\n\u001b[32m     68\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m     69\u001b[39m         renderer.start_filter()\n\u001b[32m---> \u001b[39m\u001b[32m71\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43martist\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     72\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m     73\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/figure.py:3282\u001b[39m, in \u001b[36mFigure.draw\u001b[39m\u001b[34m(self, renderer)\u001b[39m\n\u001b[32m   3279\u001b[39m             \u001b[38;5;66;03m# ValueError can occur when resizing a window.\u001b[39;00m\n\u001b[32m   3281\u001b[39m     \u001b[38;5;28mself\u001b[39m.patch.draw(renderer)\n\u001b[32m-> \u001b[39m\u001b[32m3282\u001b[39m     \u001b[30;43mmimage\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_draw_list_compositing_images\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   3283\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43martists\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43msuppressComposite\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m   3285\u001b[39m     renderer.close_group(\u001b[33m'\u001b[39m\u001b[33mfigure\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m   3286\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/image.py:133\u001b[39m, in \u001b[36m_draw_list_compositing_images\u001b[39m\u001b[34m(renderer, parent, artists, suppress_composite)\u001b[39m\n\u001b[32m    131\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m not_composite \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m has_images:\n\u001b[32m    132\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n\u001b[32m--> \u001b[39m\u001b[32m133\u001b[39m         \u001b[30;43ma\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    134\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m    135\u001b[39m     \u001b[38;5;66;03m# Composite any adjacent images together\u001b[39;00m\n\u001b[32m    136\u001b[39m     image_group = []\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/artist.py:71\u001b[39m, in \u001b[36mallow_rasterization.<locals>.draw_wrapper\u001b[39m\u001b[34m(artist, renderer)\u001b[39m\n\u001b[32m     68\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m     69\u001b[39m         renderer.start_filter()\n\u001b[32m---> \u001b[39m\u001b[32m71\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43martist\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     72\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m     73\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/axes/_base.py:3350\u001b[39m, in \u001b[36m_AxesBase.draw\u001b[39m\u001b[34m(self, renderer)\u001b[39m\n\u001b[32m   3347\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m artists_rasterized:\n\u001b[32m   3348\u001b[39m     _draw_rasterized(\u001b[38;5;28mself\u001b[39m.get_figure(root=\u001b[38;5;28;01mTrue\u001b[39;00m), artists_rasterized, renderer)\n\u001b[32m-> \u001b[39m\u001b[32m3350\u001b[39m \u001b[30;43mmimage\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_draw_list_compositing_images\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m   3351\u001b[39m \u001b[30;43m    \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43martists\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mget_figure\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mroot\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43;01mTrue\u001b[39;49;00m\u001b[30;43m)\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43msuppressComposite\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m   3353\u001b[39m renderer.close_group(\u001b[33m'\u001b[39m\u001b[33maxes\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m   3354\u001b[39m \u001b[38;5;28mself\u001b[39m.stale = \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/image.py:133\u001b[39m, in \u001b[36m_draw_list_compositing_images\u001b[39m\u001b[34m(renderer, parent, artists, suppress_composite)\u001b[39m\n\u001b[32m    131\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m not_composite \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m has_images:\n\u001b[32m    132\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n\u001b[32m--> \u001b[39m\u001b[32m133\u001b[39m         \u001b[30;43ma\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    134\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m    135\u001b[39m     \u001b[38;5;66;03m# Composite any adjacent images together\u001b[39;00m\n\u001b[32m    136\u001b[39m     image_group = []\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/artist.py:71\u001b[39m, in \u001b[36mallow_rasterization.<locals>.draw_wrapper\u001b[39m\u001b[34m(artist, renderer)\u001b[39m\n\u001b[32m     68\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m     69\u001b[39m         renderer.start_filter()\n\u001b[32m---> \u001b[39m\u001b[32m71\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43martist\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     72\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m     73\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/collections.py:1124\u001b[39m, in \u001b[36m_CollectionWithSizes.draw\u001b[39m\u001b[34m(self, renderer)\u001b[39m\n\u001b[32m   1121\u001b[39m \u001b[38;5;129m@artist\u001b[39m.allow_rasterization\n\u001b[32m   1122\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mdraw\u001b[39m(\u001b[38;5;28mself\u001b[39m, renderer):\n\u001b[32m   1123\u001b[39m     \u001b[38;5;28mself\u001b[39m.set_sizes(\u001b[38;5;28mself\u001b[39m._sizes, \u001b[38;5;28mself\u001b[39m.get_figure(root=\u001b[38;5;28;01mTrue\u001b[39;00m).dpi)\n\u001b[32m-> \u001b[39m\u001b[32m1124\u001b[39m     \u001b[30;43msuper\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/artist.py:71\u001b[39m, in \u001b[36mallow_rasterization.<locals>.draw_wrapper\u001b[39m\u001b[34m(artist, renderer)\u001b[39m\n\u001b[32m     68\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m     69\u001b[39m         renderer.start_filter()\n\u001b[32m---> \u001b[39m\u001b[32m71\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mdraw\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43martist\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m     72\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m     73\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m artist.get_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "\u001b[36mFile \u001b[39m\u001b[32m~/Programming/giant/.venv/lib/python3.12/site-packages/matplotlib/collections.py:422\u001b[39m, in \u001b[36mCollection.draw\u001b[39m\u001b[34m(self, renderer)\u001b[39m\n\u001b[32m    420\u001b[39m     gc.set_antialiased(\u001b[38;5;28mself\u001b[39m._antialiaseds[\u001b[32m0\u001b[39m])\n\u001b[32m    421\u001b[39m     gc.set_url(\u001b[38;5;28mself\u001b[39m._urls[\u001b[32m0\u001b[39m])\n\u001b[32m--> \u001b[39m\u001b[32m422\u001b[39m     \u001b[30;43mrenderer\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mdraw_markers\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m    423\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43mgc\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mpaths\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m0\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mcombined_transform\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mfrozen\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m,\u001b[39;49m\n\u001b[32m    424\u001b[39m \u001b[30;43m        \u001b[39;49m\u001b[30;43mmpath\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43mPath\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43moffsets\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43moffset_trf\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mtuple\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mfacecolors\u001b[39;49m\u001b[30;43m[\u001b[39;49m\u001b[30;43m0\u001b[39;49m\u001b[30;43m]\u001b[39;49m\u001b[30;43m)\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m    425\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m    426\u001b[39m     \u001b[38;5;66;03m# The current new API of draw_path_collection() is provisional\u001b[39;00m\n\u001b[32m    427\u001b[39m     \u001b[38;5;66;03m# and will be changed in a future PR.\u001b[39;00m\n\u001b[32m   (...)\u001b[39m\u001b[32m    431\u001b[39m     \u001b[38;5;66;03m# introspectable, e.g. with inspect.signature, the only way is to try and\u001b[39;00m\n\u001b[32m    432\u001b[39m     \u001b[38;5;66;03m# call this with the hatchcolors parameter.\u001b[39;00m\n\u001b[32m    433\u001b[39m     hatchcolors_arg_supported = \u001b[38;5;28;01mTrue\u001b[39;00m\n",
-      "\u001b[31mKeyboardInterrupt\u001b[39m: "
-     ]
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x700 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Scatter for physically-coupled pairs (step_length/delta_e/edep) — the\n",
     "# joint-structure check correlation matrices alone can't fully capture.\n",
-    "_ = plot_pairwise(samples, n_sample=len(samples.gen_raw))"
+    "_ = plot_pairwise(samples, n_sample=10000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "8c6e5d81",
    "metadata": {},
    "outputs": [
@@ -281,7 +301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "2fb6c511",
    "metadata": {},
    "outputs": [
@@ -319,13 +339,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "d9a6c47b",
    "metadata": {},
    "outputs": [],
    "source": [
     "from giant.analysis import compute_event_observables_pl\n",
     "from giant.analysis import plot_total_energy, plot_total_length\n",
+    "from giant.analysis import plot_mean_energy_per_step, plot_mean_length_per_step\n",
     "from giant.analysis import plot_longitudinal_profile\n",
     "from giant.analysis import plot_transverse_profile, plot_shower_max_depth\n",
     "\n",
@@ -345,7 +366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "0e5d3f74",
    "metadata": {},
    "outputs": [
@@ -376,14 +397,87 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "d6561b73",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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z81FeXv0zrKb+tttug7e3NzZt2uSw7VOnTiE2NhYvvPDCde/lWpWVlbBarfD19QUA7NixAx07dsTLL78MAEhISEBYWBiioqonCV67di0efPBBScf0ueeeQ0lJ7UM5fH19UVpaareALgD4+fmhuLj4unpntZWVlZg9ezYeeeQR3HvvvdiwYQNmz56NXbt24eLFi3jnnXewZcsWh/308/PD5cuXJb2numBwoiZF6krrWk1LaNv2BDwoeHD5FqLGd+nSJej1etvj8PBw2//n5+fj5ptvxqJFi+z2MRj+7w+pmjMhKpUKarUaFRUVkva7OjQdPXoUiYmJePvtt9G2bVukpKRgw4YNtfbXWdv79u2z6//V/38tjUaDsLAwXLhwAZGRkSgtLbW9FwBo0aIFvL29UVpaCq1Wiw0bNmDWrFm1tlVVVWX3+M0333R6xql169bIyclBVVUVvLy8UFVVhXPnziEyMvK6eme1aWlpyM7OxltvvQUAGDBgACIjI7F//35s3boVZ8+excCBAwEAf/zxByZPnoy33noLw4YNAwCcP3++1te8UQxO1KTkF5ejtMKKRWPiYIxwfDbJUy918c47osbVvXt3TJ8+HRcuXEB4eDi+/vpr27b4+Hj8/vvv0Gq16N69u+Q267rf6dOnYTQaMX78eFRVVeHf//633XZ/f38UFRVBp9M5bbtHjx6YOnUqzp07h1atWtmNX6rNHXfcgb179yIyMhI9e/bElClTkJGRgTZt2mDVqlW2S2THjh2DXq9HWNj/3eiTn5+Ps2fPIjo6GsnJyXaD112dcTIajQgNDcXq1asxevRorF69Gq1atUK7du2uq3dW6+3tjYsXL+LMmTOIiYnBqVOncPHiRbRs2RLjx4/HnXfeaWtn7NixmDZtGhISqic9Li0tRUZGBnr06OHy86krBidqkowRgejaSJNbEpEM5J6+RGJ7nTp1wsSJE2E0GhEdHY3Y2FhotdV/vMTExODdd9/FgAEDEB0dDX9/f/j7+2Pr1q1O26zrfnfddRf+8Y9/oH379qisrESXLl3stt93332Ii4tDq1atsG3bNodtd+zYEVOmTEFsbCwMBoPLuZkmTJiA1atXY/jw4Wjfvj1mz56Nbt26ITo6GhcuXMCKFSsAAGvWrMGIESPs9g0MDMSYMWNQXFyM0NBQGAwGTJ48GR999BFuueUWl8f93XffxYQJE/Diiy/i3LlzWLFihe1OuPHjx2Py5Mm466674OXl5bDWYDBg5syZ6N69O2JiYnDmzBnMnj0b0dHRAGB3NsnPzw+dO3e2nYX77rvv8NBDD0Gj0bjsa12pREPcA+kGV0+Aefz4cRQUFDicM4JcyE4DPu4H/G27xw0OP5RVgOHv78B3T/e98eDkoe9T1vdI1IguX75sOztgG7fiIfM45eTkoLy8HKmpqXjrrbfsBjtfvnwZJ06cQHFxMdRqNeLj44ErA6Z79+5tq0tJSUGvXr1sAUDqfgBQUVGBY8eOITo6Gl5eXsjKykKnTp2AqwZyWywWJCQkwMvLy2HbV7+Xtm3bYs+ePbjttttqfc9WqxW9e/fGhg0bEBERAVw5k5SVlQWj0Wj7jPr06YMvv/wSMTHVa3taLBYYjUbk5OTg1KlT6NChAywWC4QQdpc9XSkoKMCpU6dgNBrtfh8fOHAABoMBISEhLmtxZcqBs2fPwmAw2F1uvNr+/ftx0003oUWLFgCAgQMHYsmSJYiNtb8zvNavUcA2B6SU7KCY4FSjLm+eHPDQQAEGJyKP5uiXkrtnDn/++eexdetWFBYWIjc3F6tWrUK/fv3k748HOnv2LLRard1luGvt3bsXt956q+1xTXDKzc1tpF7Ky2q14ujRo9dNlAmZghMv1RERUcNysTB3Q/uf//kfPPDAAwgMDLQ709Ic1FzWcubq0IQrA8d//PHHBuxVw1Kr1bWGJrkwOBERkaJ16NABHTp0cHc3mgy1Wo2ePXu6uxsey8vdHSAiIiJqKhiciIhIVtfO+0PkKeQY1s1LdUREJAsfHx94eXkhOzsb4eHh8PHxsd2BRuRuQghcuHABKpXqhqYpYHAiIiJZeHl5ISYmBjk5OcjOznZ3d4iuo1KpEB0dbVvvrj4YnIhcTaQn8ZZnuXExYGqKfHx80KZNG9taaUSeRKPR3FBoAoMTNWv+YdUT6K1OdF5Xh0n25MDFgKmpq7kU0hCzNhO5G4MTeYwsS6mkBXBlozNUByJnE/PlHq8OViV5jRacuBgwEZHnYnBqjlzN4iv3mlISZFlKMXjhdpRWuD61r9WoERLgI88Lu3liPke4GDARkWdSTHC6eq06ckLqulEa/+pLWY0kv7gcpRVWLBoTB2NEoNNajushIiJ3UUxwMplMMJlMtvVmyIGSvOrQNHIpoI91XOemAdHGiECuz0ZERB5LMcGJ6kgf61EL2xIRETUFnDmciIiISCIGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIgYnIiIiIokYnIiIiIgk4jxORE2cq/X7ONM6EZF8GJyImqiQAB9oNWpMX5nmtE6rUWPzjH4MT0REMmBwIpJCysLHjbxMTZROi80z+iG/uNxhzcnzRZi+Mg35xeUMTkREMmBwInLGP6x6wePVia5rNf6A6ddGD08MREREjYfBicgZnaE6DJXkOa/LPV4drkry3LI4MhERNQ4GJyJXdAaGISIiAhicqDFkWUqdjsOBhDvDiIiIPIFigpPZbIbZbIbVanV3V+gqWZZSDF64HaUVrj8XrUaNkACfRukXERFRfSgmOJlMJphMJhQWFiI4ONjd3aEr8ovLUVphxaIxcTBGBDqt5XxDRETk6RQTnMizGSMC0TWKgZaIiJo2LrlCREREJBGDExEREZFEvFRH1AxIuWuRY8yIiFxjcFISS6a0iRqp2ZC6nh24ph0RkSQMTkphyQTMCUBFietajX/1UiKkeFLWswPXtCMikozBSSlK8qpD08ilgD7WeW0jL0ZL7sX17IiI5MPgpDT6WCAyzt29aL5cXQplaCUiatIYnIjk4B9WfQl0daLzOo1/9aLBDE9ERE0SgxORHHSG6kDkbHB+7vHqYFWSx+BERNREMTgRyUVnYCAiIlI4ToBJREREJBGDExEREZFEDE5EREREEjE4EREREUnE4EREREQkEYMTERERkUQMTkREREQScR4nuiFZllKnC8iePF/UqP0hIiJqSAxOVG9ZllIMXrgdpRVWp3VajRohAT6N1i8iIqKG4rHBqaKiAsOGDUPLli2xfPlyd3eHapFfXI7SCisWjYmDMSLQYV1IgA+idNpG7RsREVFD8Njg9OKLL6JPnz7Ys2ePu7tCLhgjAtE1Ktjd3SAZuLq0yhBMRM1dvYLT5cuXkZ6ejsjISAQFBdVaU1BQgPz8fERHR8Pbu24v8/333yMsLAy33norgxNRIwgJ8IFWo8b0lWlO67QaNTbP6MfwRETNVp0STUZGBt577z189dVXyMnJwfLly/Hoo4/a1ZSXl+OJJ57AihUrEBwcDJVKhSVLlmDkyJEAgLNnz6J37961tr97926o1Wp8/fXX+PTTT7Fly5YbeW9EJFGUTovNM/q5HOg/fWUa8ovLGZyIqNmqU3DasWMHWrdujYMHD0Kv19da8/LLL2Pr1q04ceIE2rZti3/9618YO3YsDh8+jA4dOqB169bYvXt3rfu2bt0ac+bMwfr162EwGFBWVoZLly7h4YcfxqpVq+r3DolIkiidloGIiMiFOgWncePGOd1eVVWFpUuXYsaMGWjbti0A4Omnn8aCBQvw6aef4vXXX4darUZ0dLTDNl544QVMnToVuBLUPvroI3z44Yd16SYRERFRg5B1cPjp06dx8eJFu0txKpUKvXv3xm+//SapjeDgYAQHVw801uv18PX1RXh4uMP6srIylJWV2R4XFhbe0HsgIiIickTW4JSXlwdcCTxX0+v1OHXqVJ3bu/POOxEXF+e05vXXX8e8efPq3DaR2+Qed13jHwboDI3RGyIiqgNZg5NarQauDBC/WllZWZ3vrAMAX19f+Pr6Oq2ZM2cOnn32WdvjwsJCGAz8hUMeyD8M0PgDqxNd12r8AdOvDE9ERB5G1uBUE1hycnLsnj937pzTcU03Qkq4IvIIOkN1GCrJc16Xe7w6XJXkMTgREXkYWYNTy5Yt0alTJ/zwww+4//77AQDFxcXYvn07Xn/9dTlfiqhp0hkYhoiImrA6BaeSkhJkZGTYHufk5OD333+HTqdDq1atAADz5s3DuHHj0KlTJ/To0QNvvPEGIiIi8Pjjj8vf+6uYzWaYzWZYrc7XTSMiIiKqL6+6FO/fvx8jRozAiBEj0LFjR3zyyScYMWIEzGazrebhhx/GihUrsGbNGphMJuj1evz8888IDHS8lpkcTCYTjhw5gpSUlAZ9HSIiImq+6nTGqU+fPvj9999d1o0aNQqjRo26kX4REREReRyPXeSXiDyTq4WAwcWAiUjBGJyISBKpCwGDiwETkYIpJjhxcDhRw5KyEDC4GDARKZxigpPJZILJZEJhYaFtyRYikhcXAiai5q5Od9URERERNWeKOeNEpDhc046IyOMwOBF5Gq5pR0TksRQTnBQ9ONySKW19M1IGrmlHROSxFBOcFDs43JIJmBOAihLXtRr/6rMV1PRxTTsiIo+kmOCkWCV51aFp5FJAH+u8luNdiIiIGhSDU1OhjwUi49zdCyIiomaN0xEQERERScQzTkTUILimHREpEYMTEcmKa9oRkZIpJjgpejoCoiaEa9oRkZIpJjgpdjoCoiaIa9oRkVIpJjgRNVuuJj/lNBVERLJhcKJaZVlKJV1qITeSujQLl2UhIpINgxNdJ8tSisELt6O0wvV4Ma1GjZAAn0bpF11DytIsXJaFiEhWDE50nfzicpRWWLFoTByMEYFOa3k7uZspYGkWV2cu+TVGRJ6EwYkcMkYEomsUB9pTw5A6bQGnLCAiT6KY4MTpCIiaFinTFnDKAiLyNIoJTpyOgKjp4bQFRNTUcK06IiIiIokYnIiIiIgkYnAiIiIikojBiYiIiEgiBiciIiIiiRiciIiIiCRicCIiIiKSSDHByWw2o3PnzoiPj3d3V4iIiEihFBOcTCYTjhw5gpSUFHd3hYiIiBRKMcGJiIiIqKExOBERERFJxOBEREREJBGDExEREZFEDE5EREREEjE4EREREUnE4EREREQkEYMTERERkUTe7u4AEZErJ88XuawJCfBBlE7bKP0houaLwYmIPFZIgA+0GjWmr0xzWavVqLF5Rj+GJyJqUIoJTmazGWazGVar1d1dISKZROm02DyjH/KLy53WnTxfhOkr05BfXM7gREQNSjHByWQywWQyobCwEMHBwe7uDhHJJEqnZRgiIo+hmOBERE7kHndd4x8G6AyN0RsioiaLwYlIyfzDAI0/sDrRda3GHxizHPDXO2+P4YqImjEGJyIl0xkA069ASZ7zupJcYOUE4PNRzuukhCswYBGRcjE4ESmdziAtxLgKWFLDFa4ELNOvDE9EpDgMTkRUTUrAknL2Kvd49aXBkjwGJyJSHAYnIpJO6tkrIiKFYnAiIsVwNcM4ZxcnohvF4ERETZ7UGcY5uzgR3SgGJ3ezZDofMyJl/h2iZk7KDOOcXZyI5MDg5E6WTMCcAFSUOK/T+Fff3k1EDnGGcSJqDAxO7lSSVx2aRi4F9LGO6zgnDhERkUdgcPIE+lggMs7dvSAiIiIXvNzdASIiIqKmgmeciKhZcTVlAThtARE5weBERM2C1CkLwGkLiMgJxQQns9kMs9kMq9Xq7q4QkQeSMmUBOG0BEbmgmOBkMplgMplQWFiI4OBgd3eHiDwQpywgohvFweFEREREEjE4EREREUmkmEt1JF2WpdTl0hREjcLVkkPgBLBE5FkYnJqZLEspBi/cjtIK54PotRo1QgJ8Gq1f1AzVZckh068MT0TkERicmpn84nKUVlixaEwcjBGBDus4jw01OClLDuUeB1YnVtcyOBGRB2BwaqaMEYHoGsW7D8kDcMkhImpCODiciIiISCIGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIt5VR0RUT64mkwWn9iBSHAYnIqJ6qMtksptn9GN4IlIIBiciahi5x29su4eTMpnsyfNFmL4yDfnF5QxORArB4ERE8vIPq14mZXWi61qNf3W9B3K1ZmPNdk4mS9S8MDgRkbx0huq15Vwt3gvPXMA3JMAHWo0a01emuazlmo5EzQ+DExHJT2fwuEAkVZROi80z+rkc9A0O/CZqlhiciIiuEaXTMhARUa04jxMRERGRRAxORERERBJ55KW6Vq1a4fLlywCAli1b4tixY+7uEhEREZFnBichBNLT0wEAXl48KUZERESeoV6ppLCwEKmpqbh48aLDmnPnzuHQoUO2M0d1UVxcjG7duuHOO+/E2rVr69NFIiIiItnVKTidOnUKkydPRseOHREfH4+NGzdeV1NaWoqRI0eiXbt2GD58OCIiIvD555/btmdkZECn09X6LyMjAwCQlZWF/fv341//+hdmzZqFtDTX86kQERERNbQ6Xarbt28fevTogYULF6JFixa11rzwwgvYu3cv0tPT0apVK3zyySeYOHEievbsiU6dOiE6Otp2Ge5aQUFBAIDg4OpZeAcMGIAHH3wQqampiIuLq/u7IyIiIpJRnYLT6NGjnW63Wq1ISkrCnDlz0KpVKwDApEmT8OqrryIpKQlvvfUWvLy8oNPpJL3e6dOnsWnTJkyYMMFhTVlZGcrKymyPCwsLJb+fBmXJdD1zchNfq4uIiKi5kXVw+OnTp2GxWBAfH2/3fEJCAvbu3SupjS1btmDUqFGoqqqCWq3GzJkz0bdvX4f1r7/+OubNm3fDfZeVJRMwJwAVJa5rPXitLiIiIrIna3DKy6s+wxIWZh8E9Ho9Tpw4IamNfv36IT09HWq12uHlwKvNmTMHzz77rO1xYWEhDAY3L/VQklcdmkYuBfSxzms9cK0uIiIiqp2swUmj0QBXLp9drbS01LbNZYe8vSVfygMAX19f+Pr61rGnjUQfC0RybBYREZFSyBqc2rRpAwDIzs62ez47O9u2jYiIrpdlKXW5sDAXFSZyP1mDU3h4OLp164YNGzbgwQcfBAAUFBTg559/xjvvvCPnSxERKUaWpRSDF25HaYXVaZ1Wo8bmGf0YnojcqE7B6dKlS3bLn5w5cwapqakIDw9H27ZtAQDz58/HyJEjcdNNN6FHjx5YsGAB2rRpg4kTJ8rf+6uYzWaYzWZYrc5/8BAReZr84nKUVlixaEwcjBGBtdacPF+E6SvTkF9czuBE5EZ1Ck5Hjx7FU089BQDo2bMn1q1bh3Xr1mHEiBF48cUXAQD3338/1q9fj8WLF+O7775Djx498MUXX0CrbdhvdJPJBJPJhMLCQts8UERETYkxIhBdo/jzi8iT1Sk4JSQkIDU11WXd0KFDMXTo0BvpFxEREZHH8chFfomI7EiZLJZTexBRI2BwIiLP5R9WPUns6kTXtRp/wPQrwxMRNSjFBCcODidSIJ2hOgxJWb5odWJ1HYMTETUgxQQnDg4nUiidgWGIiDyGl7s7QERERNRUMDgRERERSaSYS3VERJ7q5PmiG9pORJ5DMcGJg8OJyNOEBPhAq1Fj+so0l7VajRohAT6N0i8iqj/FBCcODiciTxOl02LzjH4uF+8FF/AlajIUE5xI2urqvCRA1LiidFpZA5GU72GGMKKGw+CkEFJXVwcvCRA1SXW97Ld5Rj+GJ6IGwOCkEFJWV6/Bv0aJmh6pl/1Oni/C9JVpyC8u5/c5UQNgcFIYrq5O5IQl0/Us5PDcde/kvuxHRHXH4EREzYMlEzAnABUlrmu57h0ROaCY4MTpCIjIqZK86tA0cimgj3Vcx3XviMgJxQQnTkdARJLoY4HIOHf3goiaKMUEJyIi5B6v3zYFcjVtAW8SIaofBiciavr8w6rHJa1OdF6n8a+uVTCp0xZwygKi+mFwIqKmT2eoHszt6o45D71bTk5Spi3glAVE9cfgRETKoDMoPhRJxWkLiBqOl7s7QERERNRUKCY4mc1mdO7cGfHx8e7uChERESmUYoKTyWTCkSNHkJKS4u6uEBERkUIpJjgRERERNTQODiciqo2UeZ+awV16RGSPwYmI6GpS54QC17Qjao4YnIiIriZ1TiiuaUfULDE4ERFdi3NCEZEDHBxOREREJBHPOBERNSRLpuvLfuBAc6KmQjHByWw2w2w2w2q1ursrRETVLJmAOQGoKHFdy4HmRE2CYoKTyWSCyWRCYWEhgoOD3d0dIqLqM00VJcDIpYA+1nEdB5oTNRmKCU5ERB5LHwtExrm7F0QkAw4OJyIiIpKIZ5yIiG6EsxnGpcw+7uGyLKXILy53WRcS4IMonbZR+kTkTgxORET1IXWGcY1/dW0TlGUpxeCF21Fa4fqmG61Gjc0z+jE8keIxOBER1YfUGcab8DQD+cXlKK2wYtGYOBgjAh3WnTxfhOkr05BfXM7gRIrH4EREVF/NZIZxY0QgukbxbmUicHA4ERERkXQMTkREREQSMTgRERERScTgRERERCSRYoKT2WxG586dER8f7+6uEBERkUIpJjiZTCYcOXIEKSkp7u4KERERKZRighMRERFRQ2NwIiIiIpKIwYmIiIhIIgYnIiIiIom45Ep9WDKdr08l84roUlYnP3m+SNbXJCIiousxONWVJRMwJwAVJc7rZFoRva6rk4cE+NzwaxIREVHtGJzqqiSvOjSNXAroYx3XybQiutTVyQEgJMCHK5MTERE1IAan+tLHApFxjfZyXJ2ciIjI/Tg4nIiIiEgiBiciIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCLeVUdERE2OlImB64LTuZBUDE5ERNSk1GViYKm0GjU2z+jH8EQuKSY4mc1mmM1mWK3yfSMREZHnqcvEwFKcPF+E6SvTkF9czuBELikmOJlMJphMJhQWFiI4mBNFEhEpHScGJnfg4HAiIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCIGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIsVMgElEpHiWTKAkz3WdfxigM7gsO3m+yOX2SOTCL/cgoHI8Q7dfbhG6qM7ALzfYad25ygDkqiNc9stj142T+fhT08TgRETUFFgyAXMCUFHiulbjD5h+dfjLOyTAB1qNGtNXpjltJhK52Oz7D/ivKXNaZwSwwRfAGufdChK+GFm2ANnQO63zyHXjZDz+1LQxOBERNQUledW/tEcuBfSxjutyjwOrE6vrHfzijtJpsXlGP+QXlzt9Sb/cg9WhycVrnrxQhGkr0vDe2DgYw2s/45R5Ig2GbdMw/55IhMcmOG7LU9eNk/H4U9PG4ERE1JToY4HIuBtuJkqndR1Mai67uXjNy6IAh0UBLuu7AZG1rx1XdqH6sqAhVAtjU15fTqbjT00XB4cTERERScTgRERERCQRgxMRERGRRAxORERERBIxOBERERFJxOBEREREJBGDExEREZFEDE5EREREEnlkcCooKMDf//53xMXFwWg0Ii3N+bIARERERI3BI2cOHzFiBMLDw/HJJ58gODgYBgOnrSciIiL3q1dwqqioQFZWFsLDwxEQEFBrTWlpKQoKCtCyZUuoVCrJbR86dAj79u1DVlaWw7aJiIiI3KFOl+qys7PxwgsvICYmBjExMViz5vqlsCsrK/G3v/0NOp0OsbGxiI6OxnfffWfbnpWVBaPRWOu/rKwsnD59GnFxcZgxYwa6d++OJ598EpcuXZLn3RIRERHdgDoFpy1btkCr1SI1NdVhzbx587B+/XocOnQIFosF06dPx+jRo3H69GkAQMuWLfHDDz/U+q9ly5YICgrC3r17ce+992L58uXIzc3F/Pnzb/ydEhEREd2gOl2qmzBhgtPtVVVVWLJkCaZNm4YOHToAAGbOnIlFixbh008/xT//+U94e3vDaDQ6bKNHjx4IDw9Hv379oNPp0KNHD5w5c8ZhfVlZGcrKymyPCwsL6/KWiIg8R+7x+m2rT71/GKDj+NGGcvJCES6LAofbQwJ8EKXTumwny1KK/OJyl3VS2pOzreZM1sHh6enpyM3Nxe233257TqVSoU+fPkhJSZHURnBwMObOnQuj0QhfX18EBATYXeq71uuvv4558+bJ0n8iIrfwDwM0/sDqROd1Gv/qWrnaMv3K8CSz80VliAAwbUUaDjsJTlqNGptn9HMaULIspRi8cDtKK6wuX9dVe3K21dzJGpwuXLgAAAgLs//G1uv1tkt1Ujz22GN45JFHkJeX53Jw+Zw5c/Dss8/aHhcWFvIuPCJqWnSG6hBTkue8TspZIilt5R6vDlYleQxOMissrUAEgJl3d0R4bEKtNSfPF2H6yjTkF5c7DSf5xeUorbBi0Zg4GCMCHdZJaU/Otpo7WYOTl1f1kKnKykq75ysqKqBWq+vUlkajQatWrVzW+fr6wtfXt449JSLyMDqDfCFGzraoXgyhWhijgmVpyxgRiK4e2FZzJesEmNHR0QCAc+fO2T1/7tw5REVFyflSRERERI1O1uDUunVrxMbG4scff7Q9V1paip9//hn9+vWT86WIiIiIGl2dLtVdvnzZ7mxSbm4u0tPT0aJFC9u4prlz52LixIm45ZZb0KNHD7z22mvQ6XSYNGmS/L2/itlshtlshtXqeuAbERERUX3U6YzTb7/9hv79+6N///5o27YtFi1ahP79+2PBggW2mnHjxiEpKQlJSUkYP348fHx8sH37dgQFBTVE/21MJhOOHDki+e49IiIiorqq0xmnO+64A+np6S7rxo8fj/Hjx99Iv4iIiIg8jqxjnIiIiIiUjMGJiIiISCLFBCez2YzOnTsjPj7e3V0hIiIihVJMcOLgcCIiImpoiglORERERA2NwYmIiIhIIgYnIiIiIokUE5w4OJyIiIgammKCEweHExERUUNTTHAiIiIiamgMTkREREQSMTgRERERScTgRERERCSRYoIT76ojIiKihqaY4MS76oiIiKihKSY4ERERETU0BiciIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCJvd3eAiIjcJPf4jW2/xsnzRQ63XbhYCqPEdiKRiwvHf8XJXK3DtiKRK60xSyZQkue0xC+3CJHIddp/v9wiGAGcvFCEy6LAYV1d3qez15OyvSnIspQiv7hclrZCAnwQpav9a6IxKSY4mc1mmM1mWK1Wd3eFiMiz+YcBGn9gdaLrWo1/db0TIQE+0GrUmL4yzWFNF9UZDPAFgrQap23preex2fcf8N9e5rDGCGCzry8KrbcDCHbcmCUTMCcAFSVOX7OmvcErFyAbeof93+ALTFuRhsNOgpOU9ynleNXQatQICfBxWeeJsiylGLxwO0or5Pm9rNWosXlGP7eHJ8UEJ5PJBJPJhMLCQgQHO/lGIiJq7nQGwPSryzMxwJWQpTM4LYnSabF5Rj+nZxb8coOBNUBEoK/Ttlp5FwOqMmQOeA9lutrP3fhaTsKwbRr8vYud970krzo0jVwK6GMd1+Ueh//qRHz2SHtc1ndz2v/3xsY5rIHE9ynleNXwlLMs9ZFfXI7SCisWjYmDMSLwhto6eb4I01emIb+43O3HQzHBiYiI6kBncBmI6iJKp3X+C01Vt1+chg5xQGRc7RuzA4FtdWhMH+u4rasYwwOBSAd/eF/pv9MaSH+fLo+XghgjAtE1SjknNDg4nIiIiEgiBiciIiIiiRiciIiIiCRicCIiIiKSiMGJiIiISCIGJyIiIiKJFBOczGYzOnfujPj4eHd3hYiIiBRKMcHJZDLhyJEjSElJcXdXiIiISKEUE5yIiIiIGhqDExEREZFEiltyRQgBACgsLGyYF7hUBJSJ6v821GtcpehSIarKSlB0qRCFhaoGfz0iogYh9WenlDo523LXa8pIyu8Jqb9L5Pyd46lt1aYmM9RkCGdUQkpVE3L27FkYDPKtv0RERETNQ2ZmJqKjo53WKC44VVVVITs7Gy1atIBKxTM0dVFYWAiDwYDMzEwEBQW5uzvNEj8D9+Lxdz9+Bu7XHD8DIQQuXbqEyMhIeHk5H8WkuEt1Xl5eLtMiORcUFNRsvlk8FT8D9+Lxdz9+Bu7X3D6D4OBgSXUcHE5EREQkEYMTERERkUQMTmTj6+uLuXPnwtfX191dabb4GbgXj7/78TNwP34GzilucDgRERFRQ+EZJyIiIiKJGJyIiIiIJGJwIiIiIpKIwUmBMjIykJqaiuzsbIc1586dQ0pKCvLy8hq8RulKSkqwc+dOZGRkOKzJz89HamoqsrKyPKJGaTIzM7Fjxw4UFxfXur2yshKHDx/GqVOnYLVaHbaTnp6O1NRUFBUVNXiN0uzfvx+pqaku606cOOHws7Jardi/fz8OHTqEqqqqWveXq0ZpLl++jF9++QXp6elO69LT03HgwAFUVlbWur2goACpqak4e/aswzbkqmmyBCnGmTNnxK233irCwsJEz549RYsWLcSgQYPExYsXbTWVlZVi0qRJws/PT3Tu3Fn4+vqKl19+2a4duWqU7ty5c2LatGmidevWws/PT7zwwgu11r3xxhvCz89PdOrUSfj5+Ylx48aJ8vJyt9UoyY4dO8Tw4cOFXq8XAMS+ffvstpeXl4sXX3xR6PV60aVLFxEdHS1iYmLEli1b7OouXbok7rnnHhEQECA6duwoAgICRFJSUoPUKM3ixYtFly5dREhIiGjbtq3T2pMnTwqdTlfrZ5WSkiLatGkjoqOjRcuWLYXRaBSHDx9ukBoluXDhgnj22WdF69athVarFTNmzKi17vjx4+K2224TYWFholevXiI2Nlbs3LnTrubdd9+1/fzQarVi9OjR4vLlyw1S05QxOCnIyJEjRc+ePUVpaakQQojc3FwRHR1t9420aNEiodPpxLFjx4QQQiQnJwtvb2+xbt062WuUbteuXeLdd98VFy9eFB07dqw1OG3evFl4eXmJzZs3C3El3Or1ejF//ny31CjN4sWLxbp160RaWlqtv4wLCgrEq6++KgoKCoQQQlitVvHMM8+I4OBg23NCCDFlyhTRoUMHkZeXJ4QQIikpSajVanHkyBHZa5RmxowZ4sCBA+LVV191GpzKyspEr169xHPPPXfdZ1VWVibatm0rJk2aJMSVz+mhhx4SXbp0EVVVVbLWKE1qaqp4++23RW5urujevXutwamgoEC0adNGjB071hZgsrKyxJo1a2w1O3bsECqVSmzYsEEIIURmZqZo1aqVeOmll2SvaeoYnBTkzjvvFE888YTdc4MGDRKPPfaY7fEtt9wipkyZYlczePBg8eCDD8pe05w4Ck7jxo0Tffv2tXtu+vTpon379m6pUaqDBw/WGpxq8/vvvwsAtr+2y8vLRWBgoFi0aJFdXZs2bcRzzz0na42SuQpOzzzzjHj00UfFvn37rvusNm7cKACIM2fO2J5LTU0VAMSuXbtkrVEyR8Fp4cKFwt/fX1gsFof7Pv7446JXr152z82ePVtERUXJXtPUcYyTgrz44otYv349zGYztmzZgn/+8584evQoZs6cCQCoqKjA4cOH0bNnT7v9EhISsG/fPllrqNq+fftqPU6nTp3CpUuXGr2GgJSUFKhUKtx0003AlTE3RUVF1x27Xr162b6e5apprjZu3Ii1a9fCbDbXun3fvn0ICwtDu3btbM/deuutUKvVtmMnV01ztGXLFtx5550IDAzE/v37cfLkyevG+jn6+ZGVlYULFy7IWtPUKW6R3+asd+/euO+++/DSSy8hJiYGp06dwpQpU3DzzTcDVwbrWa1WhIWF2e0XFhaGixcvylpD1S5evFjrcarZ1qJFi0atae7Onj2LmTNnIjExEa1atQKuHBtcdaxqhIWF2Qb8y1XTHOXk5GDSpElYtWqVwwVja/vaValUCA0NtR1XuWqao+zsbLRs2RI9evQArhwnHx8fLF++HHfccYftOWc/P8LDw2WraeoYnBRkzJgxKCkpQWZmJgICApCbm4s77rgDRUVF+OCDD6DRaIArd19crbS0FD4+PgAgWw1V02g0tR4nAHbHs7FqmrMLFy7gnnvuQdeuXfHee+/Znuf3RcMymUxISEgAAOzYsQMnT54EAKSlpcHf3x+xsbG1fu2iluMrR01zpNFosGnTJvz0008YNGgQrFYrEhMT8fDDDyMjIwPe3t78OVQHvFSnEBUVFfjpp58wceJEBAQEAAD0ej3Gjh2Lb7/9FgAQHBwMnU533W3qWVlZaNOmjaw1VK1t27a1HidfX19EREQ0ek1zlZubi4EDB6Jly5b49ttv4efnZ9vWtm1b4MqxutrVX89y1TRHoaGhyMvLw+zZszF79mxbaH3vvfewcuVK4MqxO3/+PCoqKmz7FRYWoqioyO74ylHTHLVr1w5GoxGDBg0CAKjVaiQmJiInJ8cWZB39/FCr1YiMjJS1pqljcFIIjUaD4ODg6+bMyMzMtDs1OnjwYKxfv972uLKyEhs2bMCQIUNkryFgyJAh+PHHH1FeXm57bt26dRg4cCDUanWj1zRHNaEpPDwc3333Hfz9/e22t2rVCl27drX9gQEAeXl52Llzp+3rWa6a5ujf//43duzYYfuXlJQEAEhKSsJLL70EXPl5UlZWhk2bNtn2W7duHby9vTFgwABZa5qje+65B7m5uSgrK7M9V/O7Qq/XA1d+fmzatMnubNG6detw11132Rb7laumyXP36HSSz9y5c0VgYKB45513xE8//SReeeUVoVar7eaROXDggPD39xdTpkwR3377rRg1apSIiIgQOTk5stcoXVlZmUhOThbJycmiTZs24rHHHhPJycniwIEDtpq8vDwRHR0t7r//fvHtt9+KadOmCV9fX/Hrr7+6pUZpsrKyRHJysvjss88EAJGUlCSSk5NFVlaWEEKI4uJiERcXJwwGg/jxxx9tn1dycrLIzc21tbN+/XqhVqvFvHnzxJo1a8Qdd9whunXrJsrKymSvUZoDBw6I5ORkkZiYKFq1amU7vo7m7antrjohhEhMTBSRkZFi+fLl4tNPPxWhoaFi1qxZDVKjJBUVFbZjbjQaxdixY0VycrJIS0uz1ZSVlYm4uDjxwAMPiA0bNohly5aJqKgo27QNQghhsVhEu3btxNChQ8W6devEzJkzhUajETt27JC9pqlTCSGEu8MbyUMIgW+++QZr167F+fPnERUVhfHjx1/31+7+/fvx7rvvIiMjAx07dsSsWbMQExPTIDVKduHCBTz00EPXPX/LLbfgww8/tD0+e/Ys3njjDRw9ehSRkZGYOnUq4uPj7fZpzBolWbVqld14pRrTpk3Dww8/jKysLIwZM6bWff/5z3+if//+tsdbtmzBRx99hLy8PPTs2ROzZ89GaGio3T5y1SjJ008/Xesda998841tAP7VTp48iYkTJ2LZsmUwGo225ysrK7F48WJs3LgRXl5eePDBB/HEE0/Ay8tL9holKSgowLBhw657/uabb8a///1v22OLxYK3334be/bsQUhICIYOHYqJEyfaHZecnBy88cYbOHToEFq1aoW///3v6NOnj127ctU0ZQxORERERBIpM4ITERERNQAGJyIiIiKJGJyIiIiIJGJwIiIiIpKIwYmIiIhIIgYnIiIiIokYnIiIiIgkYnAiakBnz57F6tWr6729sZ05c8ZuyZCmSq7jeu7cOaxatUqWPjVHx48fx4oVK7BixQocPXrULX04d+6crQ979uxxSx9IWRicqFnJyMjAmjVrGm2/3bt34/HHH6/39oZU23vavn07nnrqqRtux93kOq5paWmYMGGCLH1SGimf+8aNGzFlyhSsXbsWJ06caLS+Xe3PP//E2rVrMXv2bCxevNgtfSBlYXCiZuWXX35BYmJio+3nyeR6T0o8NuSa1M89OjoaK1aswAMPPNAo/bpW9+7dsWLFCvTt29ctr0/K4+3uDhA1lj///BO7du1CeXk5VqxYAQDo0qULunXrBgA4cuQIjh07hoiICPTu3Rtqtdrpfq1bt8bmzZsBAH5+fujQoQO6dOkiS1/Pnj2LvXv3QqfT4dZbb0VgYKBt25kzZ3Dw4EEMHz4cBw4cwNmzZ3HLLbegTZs2dm0IIbB7927k5+ejW7du0Gg0SE5OxsMPP+zwPdWoqqpy2rarYxoYGIiDBw9i2LBh2L17N7KzszF8+HAUFxc7PWaXLl3Chg0bcN999yEoKMj2fEFBAb7//nvce++9CA4OdnmM6nNca+zZswd5eXm2rwtnaj6L++67DwcOHEBmZiZ69eqFqKioOr12TTvXHi+tVlun9yHX8XP1Nebqe0nqMTt48CAyMzPRo0cPGAwGVFZWYteuXSgsLERCQgLCw8NveD8iuTE4UbNx4cIFpKSkoKysDGvXrgUAeHl5oUuXLnjsscewfv163H777Thy5AiCgoLw448/IjIy0uF+Pj4+tselpaX45Zdf0LdvX3zzzTe20FUfc+bMwZIlS9CnTx8UFBTg9OnT+Prrr3HnnXcCVy6nPfvss+jatSuEEPDx8cHOnTvxn//8x7agbUVFBR544AHs2bMHvXv3xqFDh9C5c2f87//+Lx5++GGH7wkASkpK0L9/f4dtSzmmJSUlePbZZ9G5c2cIIWAwGDBo0CDk5eU5PWb+/v545plnYLFYMGXKFNvrfPnll3jllVcwevRoSceoPsfVarVi5MiRSE5ORu/evXHw4EGXQbjms+jYsSMAwNvbG6mpqVi2bJnd8ZL6mV57vGoLTs7akuv4ufoac/S5SwlO27dvxzPPPIN27dohODgYFRUVSElJwfvvv4/FixcjNDQUJSUlOH78OLZv325rs777EclOEDUjX331lQgLC7N7btmyZSIwMFCcOHFCCCFESUmJSEhIEI888ojT/a5lsVhETEyMWLZsme25VatWieDgYIf7XLv9yy+/FNHR0SInJ8f23KJFi0Tbtm1FZWWlEEKIpKQkAcDudV555RVx00032R5//PHHIiQkRGRkZAghhCgoKBCdOnUSvr6+Tt+TlLav5ayd999/3+F+wsExmzZtmujbt69d3R133CGefvppyceoPsf1k08+sTtmFotFdOzY0e6YXavmfc6dO9f23IIFC0RoaKiwWCySX1vq8ZLSlhzHT8rXgZTviXfffVd06dKl1mO2fPly23NjxowRAMSqVatszw0fPlxMmDDhhverMX78ePHXv/7VaX+JpOAYJ2r2VqxYgb/85S8wGo0AAK1Wi2effRbffPMNrFar032tViv27NmD1atX4/vvv4fBYMCvv/5a774kJSWhW7du2LFjB1atWoWvv/4afn5++OOPP3D69GlbXUBAAB577DHb4/79++PMmTMoLy8HAHzzzTcYM2YMDAYDACAoKAiTJ0+W1AdXbUul0WjsznrUcHXMHn30UezcuRN//PEHACA9PR2//PILHn300Todo6tJ2efrr7+2O2bBwcGSjplKpcKMGTNsj59++mmUlpbaLklK7a+j41XX9yHX8ZPr66A2AQEBGD9+vO1xnz59EBoaajsjBgC9e/fG8ePHZdmPSE68VEfN3h9//HHdwNH27dujoqIC2dnZtl+k1zp+/DjuueceeHl5oVOnTggMDERWVhYiIiLq3Zf09HRotVp88803ds+PGTMGVVVVtsc6nQ4qlcr22NfXF0IIlJeXw8fHB5mZmRg4cKBdG+3atZPUB1dtSxUeHg5vb/sfMVKOWa9evRAbG4svv/wSc+bMwZdffokOHTogISGhTsfoalL2ycjIwIABA+y2x8TEuHyfYWFhaNGihe2xr68vIiMj7YKLlP7Wdrzq8z7kOn5yfR3Upra2Q0JC7Gp8fX1x+fJlWfYjkhODEzV7er0eFy9etHvu4sWLUKlUCAsLc7jfK6+8gltvvRX//e9/bc+NHj0aQoh69yUoKAgJCQn48MMP690GAISGhsJisdg9l5+ff0Nt1tXVv+BqSD1m48ePxxdffIE5c+bgiy++sDvLUJ9jJGWfsLCw646RlGNWWFiIqqoq2xixmv30en2d+lvb8arP+0ADHD8i+j+8VEfNSmBg4HV/jfbt2xfffvstKisrbc+tWrUKPXr0gL+/v8P9zp07ZxsUjCtha9u2bTfUv6FDh+Lrr7++LshlZWXVqZ077rgD69evtzuDsG7dOrua2t5TfdSlHanHbPz48Th8+DCWLVuGI0eO2P3ir88xkrJP3759rztmUibRLC8vx8aNG22Pt2/fDovFgt69e9e7vzfyPtAAx682cn39EDU1PONEzUr37t1RXl6OF198EV27dkWXLl0wa9YsfPHFFxgyZAgeeeQR/Pbbb/jss8/w008/Od1vxIgReOmll6DT6eDv74/Fixc7vFQk1XPPPYcffvgB8fHxmDJlCoKCgpCSkoK0tDSkpqZKbmfGjBlISkrCsGHD8NBDD2Hnzp3YsWOH3VmN2t5TfdSlHanH7KabbkKfPn3w9NNPo0+fPmjfvr1tW32OkZR9ao7Zvffei1GjRuHnn3/G7t27Xb5/Pz8/PPnkkzh8+DC8vb3x5ptvIjExEbGxsfXuryNS25L7+NWmts+dd7JRc8AzTtSsGAwG/Pjjj7BYLFi3bh2OHj0KnU6HvXv3YsiQIdixYwdatGiB1NRU9OvXz+l+U6dOxUcffYTjx4/j8OHDmD9/Pt5++2278VIGgwGjRo1y2p+rt7do0QI7d+7ESy+9hBMnTmD//v3o27cvfvnlF1tNTEwMHnzwQbt29Ho9xowZA41GAwCIiIhAamoqunXrhpSUFMTHx+Ott96yG4tT23uS0raUY1pbOwAkHbMas2bNwrBhwzBr1iy756Uco/ocV71ej5SUFMTFxSElJQW9e/fGxo0b8Ze//KXW910jLCwMmzdvRlFREQ4ePIj58+fDbDbX6bUdHa9rSWlLjuMn5eugts+9NgUFBXZLrtTWttFoxPDhw+2eu/nmmzF06FCnfZKyX82SKzVjzohulErcyIAMIvJYFy9eRGhoqO3xo48+iry8PHz//fdu7ZeSLFu2DC+++CLOnj3r7q54pO+//x7/+c9/AADjxo1zy+zh+/fvx+uvvw4A6NevH5588slG7wMpCy/VESnU/fffj8GDB8NgMGDr1q349ttv8cMPP7i7W9SM3Hvvvbj33nvd2oeaJVeI5MJLdUQKtWbNGvj5+WHXrl3o2LEjDhw4wPW6ZCb1EhsRKQcv1RERERFJxDNORERERBIxOBERERFJxOBEREREJBGDExEREZFEDE5EREREEjE4EREREUnE4EREREQkEYMTERERkUQMTkREREQS/X88c4o2Lm/cyQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "_ = plot_total_length(obs)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "dab935fd",
+   "metadata": {},
+   "source": [
+    "### Mean deposited energy per step, per event\n",
+    "\n",
+    "`total_edep / n_steps` grouped by `event_id` — the per-event mean, as opposed to the per-event total above, so a difference here points at the typical step's energy deposit rather than at how many steps the event happened to have."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e761bdc2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_mean_energy_per_step(obs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6b6ae02",
+   "metadata": {},
+   "source": [
+    "### Mean step length per step, per event\n",
+    "\n",
+    "`total_length / n_steps` grouped by `event_id` — the per-event mean step length, as opposed to the per-event total above."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "79b08c5a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_mean_length_per_step(obs)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "cf3ea615",
@@ -396,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "a94c6034",
    "metadata": {},
    "outputs": [
@@ -427,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "f3652b29",
    "metadata": {},
    "outputs": [
@@ -458,7 +552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "78bf19d5",
    "metadata": {},
    "outputs": [
@@ -489,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "id": "d4ef0559",
    "metadata": {},
    "outputs": [],
@@ -512,10 +606,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "id": "06952b61",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "_ = plot_pdg_energy_share(pdg_table)"
    ]
@@ -532,10 +637,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "d46f1d96",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "_ = plot_pdg_length_share(pdg_table)"
    ]
@@ -543,7 +659,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a592aec1",
+   "id": "c61eeb68",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -551,7 +667,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "giant (3.12.13)",
+   "display_name": "giant",
    "language": "python",
    "name": "python3"
   },
diff --git a/giant/analysis.py b/giant/analysis.py
index 572a1be..1aeffc2 100644
--- a/giant/analysis.py
+++ b/giant/analysis.py
@@ -40,6 +40,8 @@ corrupted by partial events::
     obs = compute_event_observables_pl("path/to/steps_predicted_local.parquet")
     plot_total_energy(obs)
     plot_total_length(obs)
+    plot_mean_energy_per_step(obs)
+    plot_mean_length_per_step(obs)
     plot_longitudinal_profile(obs)
     plot_transverse_profile(obs)
     plot_shower_max_depth(obs)
@@ -610,7 +612,9 @@ def plot_marginals(
         table = marginal_table(
             collection, group_by=group_by, n_energy_bins=n_energy_bins, bins=bins
         )
-        by_group = table.groupby("group").agg(kl_max=("kl_real_gen", "max"), n=("n", "first"))
+        by_group = table.groupby("group").agg(
+            kl_max=("kl_real_gen", "max"), n=("n", "first")
+        )
         worst_first = (by_group["kl_max"] * by_group["n"]).sort_values(ascending=False)
         order = {label: rank for rank, label in enumerate(worst_first.index)}
         groups = [g for g in groups if g[0] in order]
@@ -629,7 +633,9 @@ def plot_marginals(
             ax = axes[row][col]
             edges = _hist_edges(real[:, j], gen[:, j], bins=bins)
             ax.hist(real[:, j], bins=edges, density=True, histtype="step", label="real")
-            ax.hist(gen[:, j], bins=edges, density=True, histtype="step", label="generated")
+            ax.hist(
+                gen[:, j], bins=edges, density=True, histtype="step", label="generated"
+            )
             ax.set_yscale("log")
             if row == 0:
                 ax.set_title(dims[col], fontsize=9)
@@ -648,7 +654,9 @@ def _limit_groups_by_kl_n(table: pd.DataFrame, max_groups: int) -> pd.DataFrame:
     alone, so a rare pdg/material with a noisy, high-variance KL estimate from
     a handful of samples doesn't crowd out groups that actually matter.
     """
-    by_group = table.groupby("group").agg(kl_max=("kl_real_gen", "max"), n=("n", "first"))
+    by_group = table.groupby("group").agg(
+        kl_max=("kl_real_gen", "max"), n=("n", "first")
+    )
     worst_first = (by_group["kl_max"] * by_group["n"]).sort_values(ascending=False)
     keep = set(worst_first.index[:max_groups])
     return table[table["group"].isin(keep)]
@@ -1202,6 +1210,50 @@ def compute_event_observables_pl(
     real_max_depth = depth_centers[np.argmax(real_depth_bin_edep, axis=1)]
     gen_max_depth = depth_centers[np.argmax(gen_depth_bin_edep, axis=1)]
 
+    safe_n_steps = np.where(n_steps > 0, n_steps, 1)
+    real_mean_edep = real_total_edep / safe_n_steps
+    gen_mean_edep = gen_total_edep / safe_n_steps
+    real_mean_length = real_total_length / safe_n_steps
+    gen_mean_length = gen_total_length / safe_n_steps
+
+    # The inverse transform must be applied *before* the median, not after:
+    # median commutes with inv_log_transform only for odd-length groups. For an
+    # even number of steps polars' .median() averages the two central order
+    # statistics, and that averaging does not commute with the nonlinear exp
+    # (it would yield their geometric mean rather than the true median). So take
+    # the median on the raw (exp-transformed) values directly. No post_pos
+    # reconstruction is needed — only the magnitudes matter.
+    medians = (
+        lf.select(
+            "event_id",
+            "true_log_edep",
+            "pred_log_edep",
+            "true_log_step_length",
+            "pred_log_step_length",
+        )
+        .group_by("event_id")
+        .agg(
+            (pl.col("true_log_edep").exp() - _LOG_EPS)
+            .median()
+            .alias("real_median_edep"),
+            (pl.col("pred_log_edep").exp() - _LOG_EPS)
+            .median()
+            .alias("gen_median_edep"),
+            (pl.col("true_log_step_length").exp() - _LOG_EPS)
+            .median()
+            .alias("real_median_length"),
+            (pl.col("pred_log_step_length").exp() - _LOG_EPS)
+            .median()
+            .alias("gen_median_length"),
+        )
+        .sort("event_id")
+        .collect()
+    )
+    real_median_edep = medians["real_median_edep"].to_numpy()
+    gen_median_edep = medians["gen_median_edep"].to_numpy()
+    real_median_length = medians["real_median_length"].to_numpy()
+    gen_median_length = medians["gen_median_length"].to_numpy()
+
     event_table = pl.DataFrame(
         {
             "event_id": event_ids,
@@ -1210,6 +1262,14 @@ def compute_event_observables_pl(
             "gen_total_edep": gen_total_edep,
             "real_total_length": real_total_length,
             "gen_total_length": gen_total_length,
+            "real_mean_edep": real_mean_edep,
+            "gen_mean_edep": gen_mean_edep,
+            "real_mean_length": real_mean_length,
+            "gen_mean_length": gen_mean_length,
+            "real_median_edep": real_median_edep,
+            "gen_median_edep": gen_median_edep,
+            "real_median_length": real_median_length,
+            "gen_median_length": gen_median_length,
             "real_centroid_depth": real_centroid_depth,
             "gen_centroid_depth": gen_centroid_depth,
             "real_transverse_rms": real_transverse_rms,
@@ -1292,6 +1352,113 @@ def plot_total_length(observables: EventObservables, bins: int = 50):
     return fig
 
 
+def _plot_mean_median_per_step(
+    real_mean: np.ndarray,
+    gen_mean: np.ndarray,
+    real_median: np.ndarray,
+    gen_median: np.ndarray,
+    mean_xlabel: str,
+    median_xlabel: str,
+    bins: int,
+    median_bins: int,
+):
+    """Side-by-side real-vs-generated histograms: per-event mean (left), median (right).
+
+    The mean is pulled down by a compressed/under-sampled right tail (rare
+    large values), while the median is robust to that tail. Splitting them into
+    separate panels (rather than overlaying on one axis) keeps each comparison
+    legible; if a tail-compression bias is the explanation for a low generated
+    mean, the median panel should overlap far more closely than the mean panel.
+
+    Each panel gets its own bin edges (`bins` for the mean, `median_bins` for
+    the median): the median is far less spread than the mean, so reusing the
+    mean's range would crush it into a few bins — `median_bins` is larger to
+    resolve that tighter distribution.
+    """
+    mean_edges = _hist_edges(real_mean, gen_mean, bins=bins)
+    median_edges = _hist_edges(real_median, gen_median, bins=median_bins)
+    prop_colors = plt.rcParams["axes.prop_cycle"].by_key()["color"]
+    real_color, gen_color = prop_colors[0], prop_colors[1]
+
+    fig, (ax_mean, ax_median) = plt.subplots(1, 2, figsize=(12, 4))
+    for ax, real, gen, edges, title, xlabel in [
+        (ax_mean, real_mean, gen_mean, mean_edges, "mean", mean_xlabel),
+        (ax_median, real_median, gen_median, median_edges, "median", median_xlabel),
+    ]:
+        ax.hist(
+            real,
+            bins=edges,
+            density=True,
+            histtype="step",
+            color=real_color,
+            label=f"real (σ/μ={real.std() / real.mean():.3f})",
+        )
+        ax.hist(
+            gen,
+            bins=edges,
+            density=True,
+            histtype="step",
+            color=gen_color,
+            label=f"generated (σ/μ={gen.std() / gen.mean():.3f})",
+        )
+        ax.set_yscale("log")
+        ax.set_title(title)
+        ax.set_xlabel(xlabel)
+        ax.legend(fontsize=8)
+    fig.tight_layout()
+    return fig
+
+
+def plot_mean_energy_per_step(
+    observables: EventObservables, bins: int = 50, median_bins: int = 150
+):
+    """Real-vs-generated histograms of mean/median deposited energy per step, per event.
+
+    Per event: `total_edep / n_steps` (mean) and the per-step median edep —
+    distinct from `plot_total_energy`, which histograms the per-event *total*;
+    these instead ask whether the typical step's energy deposit is right,
+    independent of how many steps the event happened to have. Mean and median
+    are drawn in separate panels, each with its own binning (`bins` /
+    `median_bins`); see `_plot_mean_median_per_step`.
+    """
+    table = observables.event_table
+    return _plot_mean_median_per_step(
+        table["real_mean_edep"].to_numpy(),
+        table["gen_mean_edep"].to_numpy(),
+        table["real_median_edep"].to_numpy(),
+        table["gen_median_edep"].to_numpy(),
+        mean_xlabel="mean deposited energy per step, per event [MeV]",
+        median_xlabel="median deposited energy per step, per event [MeV]",
+        bins=bins,
+        median_bins=median_bins,
+    )
+
+
+def plot_mean_length_per_step(
+    observables: EventObservables, bins: int = 50, median_bins: int = 150
+):
+    """Real-vs-generated histograms of mean/median step length per step, per event.
+
+    Per event: `total_length / n_steps` (mean) and the per-step median step
+    length — distinct from `plot_total_length`, which histograms the per-event
+    *total*; these instead ask whether the typical step length is right,
+    independent of how many steps the event happened to have. Mean and median
+    are drawn in separate panels, each with its own binning (`bins` /
+    `median_bins`); see `_plot_mean_median_per_step`.
+    """
+    table = observables.event_table
+    return _plot_mean_median_per_step(
+        table["real_mean_length"].to_numpy(),
+        table["gen_mean_length"].to_numpy(),
+        table["real_median_length"].to_numpy(),
+        table["gen_median_length"].to_numpy(),
+        mean_xlabel="mean step length per step, per event [mm]",
+        median_xlabel="median step length per step, per event [mm]",
+        bins=bins,
+        median_bins=median_bins,
+    )
+
+
 def _plot_profile(
     centers: np.ndarray,
     real_mean: np.ndarray,
diff --git a/pyproject.toml b/pyproject.toml
index 5a048bb..9d2fcf2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,6 +32,7 @@ convert = [
 analysis = [
     "matplotlib>=3.8,<4",
     "polars>=1.0,<2",
+    "ipykernel>=7.3.0",
 ]
 
 [project.scripts]
@@ -67,8 +68,3 @@ explicit = true
 name = "pytorch-cu118"
 url = "https://download.pytorch.org/whl/cu118"
 explicit = true
-
-[dependency-groups]
-analysis = [
-    "ipykernel>=7.3.0",
-]
diff --git a/uv.lock b/uv.lock
index 9c5f751..7daf991 100644
--- a/uv.lock
+++ b/uv.lock
@@ -446,6 +446,7 @@ dependencies = [
 
 [package.optional-dependencies]
 analysis = [
+    { name = "ipykernel" },
     { name = "matplotlib" },
     { name = "polars" },
 ]
@@ -467,14 +468,10 @@ dev = [
     { name = "ty" },
 ]
 
-[package.dev-dependencies]
-analysis = [
-    { name = "ipykernel" },
-]
-
 [package.metadata]
 requires-dist = [
     { name = "awkward", marker = "extra == 'convert'", specifier = ">=2.6,<3" },
+    { name = "ipykernel", marker = "extra == 'analysis'", specifier = ">=7.3.0" },
     { name = "matplotlib", marker = "extra == 'analysis'", specifier = ">=3.8,<4" },
     { name = "numpy", specifier = ">=1.26,<3" },
     { name = "pandas", specifier = ">=2.2,<4" },
@@ -492,9 +489,6 @@ requires-dist = [
 ]
 provides-extras = ["cpu", "cuda", "dev", "convert", "analysis"]
 
-[package.metadata.requires-dev]
-analysis = [{ name = "ipykernel", specifier = ">=7.3.0" }]
-
 [[package]]
 name = "iniconfig"
 version = "2.3.0"