From f4016831ca65c79be5e7cd2f1fdb462a2cb0bcfa Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Thu, 11 Dec 2025 22:06:48 +0100
Subject: [PATCH 01/12] feat: analysis plots

---
 spec-trait-inst/tests/scripts/analysis.ipynb | 666 +++++++++++++++++++
 1 file changed, 666 insertions(+)
 create mode 100644 spec-trait-inst/tests/scripts/analysis.ipynb

diff --git a/spec-trait-inst/tests/scripts/analysis.ipynb b/spec-trait-inst/tests/scripts/analysis.ipynb
new file mode 100644
index 0000000..f1b7417
--- /dev/null
+++ b/spec-trait-inst/tests/scripts/analysis.ipynb
@@ -0,0 +1,666 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "ce1a4aa7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "6e3bf9b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>url</th>\n",
+       "      <th>crate_name</th>\n",
+       "      <th>members_count</th>\n",
+       "      <th>dependencies_count</th>\n",
+       "      <th>crates_io_downloads</th>\n",
+       "      <th>github_stars</th>\n",
+       "      <th>analysis_total_time_seconds</th>\n",
+       "      <th>analysis_peak_rss_MB</th>\n",
+       "      <th>total_fns</th>\n",
+       "      <th>total_traits</th>\n",
+       "      <th>...</th>\n",
+       "      <th>macro_fn_already_specialized_fns</th>\n",
+       "      <th>macro_fn_already_specialized_traits</th>\n",
+       "      <th>macro_fn_newly_specializable_fn_pairs</th>\n",
+       "      <th>macro_fn_newly_specializable_trait_pairs</th>\n",
+       "      <th>macro_fn_newly_specializable_fns</th>\n",
+       "      <th>macro_fn_newly_specializable_traits</th>\n",
+       "      <th>macro_fn_already_specializable_unspecialized_fn_pairs</th>\n",
+       "      <th>macro_fn_already_specializable_unspecialized_trait_pairs</th>\n",
+       "      <th>macro_fn_already_specializable_unspecialized_fns</th>\n",
+       "      <th>macro_fn_already_specializable_unspecialized_traits</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>https://github.com/dtolnay/syn</td>\n",
+       "      <td>syn</td>\n",
+       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1169638606</td>\n",
+       "      <td>3215</td>\n",
+       "      <td>167.117</td>\n",
+       "      <td>200</td>\n",
+       "      <td>11140</td>\n",
+       "      <td>129</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>41484</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1188</td>\n",
+       "      <td>12</td>\n",
+       "      <td>162</td>\n",
+       "      <td>15</td>\n",
+       "      <td>78</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>https://github.com/rust-lang/hashbrown</td>\n",
+       "      <td>hashbrown</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>948648240</td>\n",
+       "      <td>2799</td>\n",
+       "      <td>0.767</td>\n",
+       "      <td>106</td>\n",
+       "      <td>727</td>\n",
+       "      <td>34</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>https://github.com/bitflags/bitflags</td>\n",
+       "      <td>bitflags</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>871628003</td>\n",
+       "      <td>1068</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>90</td>\n",
+       "      <td>161</td>\n",
+       "      <td>26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18</td>\n",
+       "      <td>9</td>\n",
+       "      <td>20</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>8</td>\n",
+       "      <td>18</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>https://github.com/dtolnay/proc-macro2</td>\n",
+       "      <td>proc-macro2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>806768972</td>\n",
+       "      <td>880</td>\n",
+       "      <td>3.200</td>\n",
+       "      <td>96</td>\n",
+       "      <td>460</td>\n",
+       "      <td>16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>https://github.com/dtolnay/quote</td>\n",
+       "      <td>quote</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>788009739</td>\n",
+       "      <td>1485</td>\n",
+       "      <td>3.563</td>\n",
+       "      <td>89</td>\n",
+       "      <td>395</td>\n",
+       "      <td>32</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 135 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                      url   crate_name  members_count  \\\n",
+       "0          https://github.com/dtolnay/syn          syn             10   \n",
+       "1  https://github.com/rust-lang/hashbrown    hashbrown              1   \n",
+       "2    https://github.com/bitflags/bitflags     bitflags              1   \n",
+       "3  https://github.com/dtolnay/proc-macro2  proc-macro2              2   \n",
+       "4        https://github.com/dtolnay/quote        quote              1   \n",
+       "\n",
+       "   dependencies_count  crates_io_downloads  github_stars  \\\n",
+       "0                  10           1169638606          3215   \n",
+       "1                  13            948648240          2799   \n",
+       "2                  11            871628003          1068   \n",
+       "3                   6            806768972           880   \n",
+       "4                   3            788009739          1485   \n",
+       "\n",
+       "   analysis_total_time_seconds  analysis_peak_rss_MB  total_fns  total_traits  \\\n",
+       "0                      167.117                   200      11140           129   \n",
+       "1                        0.767                   106        727            34   \n",
+       "2                        0.058                    90        161            26   \n",
+       "3                        3.200                    96        460            16   \n",
+       "4                        3.563                    89        395            32   \n",
+       "\n",
+       "   ...  macro_fn_already_specialized_fns  macro_fn_already_specialized_traits  \\\n",
+       "0  ...                                 0                                    0   \n",
+       "1  ...                                 0                                    0   \n",
+       "2  ...                                 0                                    0   \n",
+       "3  ...                                 0                                    0   \n",
+       "4  ...                                 0                                    0   \n",
+       "\n",
+       "   macro_fn_newly_specializable_fn_pairs  \\\n",
+       "0                                  41484   \n",
+       "1                                      0   \n",
+       "2                                     18   \n",
+       "3                                      0   \n",
+       "4                                      0   \n",
+       "\n",
+       "   macro_fn_newly_specializable_trait_pairs  macro_fn_newly_specializable_fns  \\\n",
+       "0                                        15                              1188   \n",
+       "1                                         0                                 0   \n",
+       "2                                         9                                20   \n",
+       "3                                         0                                 0   \n",
+       "4                                         0                                 0   \n",
+       "\n",
+       "   macro_fn_newly_specializable_traits  \\\n",
+       "0                                   12   \n",
+       "1                                    0   \n",
+       "2                                    8   \n",
+       "3                                    0   \n",
+       "4                                    0   \n",
+       "\n",
+       "   macro_fn_already_specializable_unspecialized_fn_pairs  \\\n",
+       "0                                                162       \n",
+       "1                                                  0       \n",
+       "2                                                  9       \n",
+       "3                                                  0       \n",
+       "4                                                  0       \n",
+       "\n",
+       "   macro_fn_already_specializable_unspecialized_trait_pairs  \\\n",
+       "0                                                 15          \n",
+       "1                                                  0          \n",
+       "2                                                  8          \n",
+       "3                                                  0          \n",
+       "4                                                  0          \n",
+       "\n",
+       "   macro_fn_already_specializable_unspecialized_fns  \\\n",
+       "0                                                78   \n",
+       "1                                                 0   \n",
+       "2                                                18   \n",
+       "3                                                 0   \n",
+       "4                                                 0   \n",
+       "\n",
+       "   macro_fn_already_specializable_unspecialized_traits  \n",
+       "0                                                  9    \n",
+       "1                                                  0    \n",
+       "2                                                  8    \n",
+       "3                                                  0    \n",
+       "4                                                  0    \n",
+       "\n",
+       "[5 rows x 135 columns]"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_90 = pd.read_csv('summary-90.csv')\n",
+    "df_99 = pd.read_csv('summary-99.csv')\n",
+    "df_90.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "e27bedab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_fns = df_90['total_fns']\n",
+    "spec_fns_90 = df_90['all_fn_specializable_fns'] / total_fns\n",
+    "spec_fns_99 = df_99['all_fn_specializable_fns'] / total_fns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "fb0a1cc7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(total_fns, spec_fns_90, alpha=0.7)\n",
+    "plt.scatter(total_fns, spec_fns_99, alpha=0.7, color='orange')\n",
+    "plt.title('Specializable Functions vs Total Functions')\n",
+    "plt.xlabel('Total Functions')\n",
+    "plt.ylabel('Proportion of Specializable Functions')\n",
+    "plt.grid(True)\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.legend(['90% Threshold', '99% Threshold'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "ca4b0552",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.kdeplot(x=total_fns, y=spec_fns_90, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
+    "plt.title('Density of Specializable Functions at 90% Threshold')\n",
+    "plt.xlabel('Total Functions')\n",
+    "plt.ylabel('Proportion of Specializable Functions')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.grid(False)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "95bfd3bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.kdeplot(x=total_fns, y=spec_fns_99, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
+    "plt.title('Density of Specializable Functions at 99% Threshold')\n",
+    "plt.xlabel('Total Functions')\n",
+    "plt.ylabel('Proportion of Specializable Functions')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.grid(False)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "44aa1c5c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_14889/3232229166.py:10: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.boxplot(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# Set a nice style for the visualization\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "\n",
+    "# Create the Box Plot directly from the two Series\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.boxplot(\n",
+    "    x=['90% Threshold'] * len(spec_fns_90) + ['99% Threshold'] * len(spec_fns_99),\n",
+    "    y=list(spec_fns_90) + list(spec_fns_99),\n",
+    "    palette={'90% Threshold': 'skyblue', '99% Threshold': 'coral'}\n",
+    ")\n",
+    "\n",
+    "# Add Customizations\n",
+    "plt.title('Distribution of Specializable Functions by Threshold')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.ylim(0, 1)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "bb2f872f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bare_fns_90 = df_90['bare_fn_specializable_fns'] / df_90['total_bare_fns']\n",
+    "bare_fns_99 = df_99['bare_fn_specializable_fns'] / df_99['total_bare_fns']\n",
+    "trait_fns_90 = df_90['trait_fn_specializable_fns'] / df_90['total_trait_fns']\n",
+    "trait_fns_99 = df_99['trait_fn_specializable_fns'] / df_99['total_trait_fns']\n",
+    "trait_impl_fns_90 = df_90['trait_impl_fn_specializable_fns'] / df_90['total_trait_impl_fns']\n",
+    "trait_impl_fns_99 = df_99['trait_impl_fn_specializable_fns'] / df_99['total_trait_impl_fns']\n",
+    "inherent_impl_fns_90 = df_90['inherent_impl_fn_specializable_fns'] / df_90['total_inherent_impl_fns']\n",
+    "inherent_impl_fns_99 = df_99['inherent_impl_fn_specializable_fns'] / df_99['total_inherent_impl_fns']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "f94c19a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_14889/20658457.py:21: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.boxplot(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "\n",
+    "labels = (\n",
+    "    ['Bare functions'] * len(bare_fns_90) +\n",
+    "    ['Trait functions'] * len(trait_fns_90) +\n",
+    "    ['Trait impl functions'] * len(trait_impl_fns_90) +\n",
+    "    ['Inherent impl functions'] * len(inherent_impl_fns_90)\n",
+    ")\n",
+    "\n",
+    "values = (\n",
+    "    list(bare_fns_90) +\n",
+    "    list(trait_fns_90) +\n",
+    "    list(trait_impl_fns_90) +\n",
+    "    list(inherent_impl_fns_90)\n",
+    ")\n",
+    "\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.boxplot(\n",
+    "    x=labels,\n",
+    "    y=values,\n",
+    "    palette={\n",
+    "        'Bare functions': 'skyblue',\n",
+    "        'Trait functions': 'coral',\n",
+    "        'Trait impl functions': 'lightgreen',\n",
+    "        'Inherent impl functions': 'goldenrod',\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "plt.title('Distribution of Specializable Functions (90% Threshold)')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.ylim(0, 1)\n",
+    "plt.xticks(rotation=15)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "41347983",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_14889/3306381268.py:21: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.boxplot(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "\n",
+    "labels = (\n",
+    "    ['Bare functions'] * len(bare_fns_99) +\n",
+    "    ['Trait functions'] * len(trait_fns_99) +\n",
+    "    ['Trait impl functions'] * len(trait_impl_fns_99) +\n",
+    "    ['Inherent impl functions'] * len(inherent_impl_fns_99)\n",
+    ")\n",
+    "\n",
+    "values = (\n",
+    "    list(bare_fns_99) +\n",
+    "    list(trait_fns_99) +\n",
+    "    list(trait_impl_fns_99) +\n",
+    "    list(inherent_impl_fns_99)\n",
+    ")\n",
+    "\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.boxplot(\n",
+    "    x=labels,\n",
+    "    y=values,\n",
+    "    palette={\n",
+    "        'Bare functions': 'skyblue',\n",
+    "        'Trait functions': 'coral',\n",
+    "        'Trait impl functions': 'lightgreen',\n",
+    "        'Inherent impl functions': 'goldenrod',\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "plt.title('Distribution of Specializable Functions (99% Threshold)')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.ylim(0, 1)\n",
+    "plt.xticks(rotation=15)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "979879b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "\n",
+    "labels = []\n",
+    "thresholds = []\n",
+    "values = []\n",
+    "\n",
+    "for label, vals_90, vals_99 in [\n",
+    "    ('Bare functions', bare_fns_90, bare_fns_99),\n",
+    "    ('Trait functions', trait_fns_90, trait_fns_99),\n",
+    "    ('Trait impl functions', trait_impl_fns_90, trait_impl_fns_99),\n",
+    "    ('Inherent impl functions', inherent_impl_fns_90, inherent_impl_fns_99),\n",
+    "]:\n",
+    "    labels += [label] * (len(vals_90) + len(vals_99))\n",
+    "    thresholds += ['90% Threshold'] * len(vals_90) + ['99% Threshold'] * len(vals_99)\n",
+    "    values += list(vals_90) + list(vals_99)\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.boxplot(\n",
+    "    x=labels,\n",
+    "    y=values,\n",
+    "    hue=thresholds,\n",
+    "    palette={\n",
+    "        '90% Threshold': 'skyblue',\n",
+    "        '99% Threshold': 'coral',\n",
+    "    },\n",
+    ")\n",
+    "\n",
+    "plt.title('Distribution of Specializable Functions by Kind and Threshold')\n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.ylim(0, 1)\n",
+    "plt.xticks(rotation=15)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 519dba9712745b082c44ce0489cccad4eb9cdddc Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Fri, 12 Dec 2025 09:36:56 +0100
Subject: [PATCH 02/12] feat: new analysis plots

---
 spec-trait-inst/tests/scripts/analysis.ipynb | 141 +++++++++++++------
 1 file changed, 95 insertions(+), 46 deletions(-)

diff --git a/spec-trait-inst/tests/scripts/analysis.ipynb b/spec-trait-inst/tests/scripts/analysis.ipynb
index f1b7417..c1b3377 100644
--- a/spec-trait-inst/tests/scripts/analysis.ipynb
+++ b/spec-trait-inst/tests/scripts/analysis.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 92,
    "id": "ce1a4aa7",
    "metadata": {},
    "outputs": [],
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 93,
    "id": "6e3bf9b2",
    "metadata": {},
    "outputs": [
@@ -270,7 +270,7 @@
        "[5 rows x 135 columns]"
       ]
      },
-     "execution_count": 119,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -283,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 94,
    "id": "e27bedab",
    "metadata": {},
    "outputs": [],
@@ -295,15 +295,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 95,
    "id": "fb0a1cc7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
+       "<Figure size 800x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -311,10 +311,10 @@
     }
    ],
    "source": [
-    "plt.figure(figsize=(10, 6))\n",
-    "plt.scatter(total_fns, spec_fns_90, alpha=0.7)\n",
-    "plt.scatter(total_fns, spec_fns_99, alpha=0.7, color='orange')\n",
-    "plt.title('Specializable Functions vs Total Functions')\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "plt.scatter(total_fns, spec_fns_90, alpha=0.8, color='skyblue')\n",
+    "plt.scatter(total_fns, spec_fns_99, alpha=0.8, color='coral')\n",
+    "plt.title('Proportion of Specializable Functions')\n",
     "plt.xlabel('Total Functions')\n",
     "plt.ylabel('Proportion of Specializable Functions')\n",
     "plt.grid(True)\n",
@@ -325,15 +325,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 96,
    "id": "ca4b0552",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
+       "<Figure size 800x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -341,27 +341,28 @@
     }
    ],
    "source": [
-    "plt.figure(figsize=(10, 6))\n",
+    "plt.figure(figsize=(8, 6))\n",
     "sns.kdeplot(x=total_fns, y=spec_fns_90, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
     "plt.title('Density of Specializable Functions at 90% Threshold')\n",
     "plt.xlabel('Total Functions')\n",
     "plt.ylabel('Proportion of Specializable Functions')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.grid(False)\n",
+    "plt.ylim(bottom=-0.09)\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 97,
    "id": "95bfd3bf",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
+       "<Figure size 800x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -369,7 +370,7 @@
     }
    ],
    "source": [
-    "plt.figure(figsize=(10, 6))\n",
+    "plt.figure(figsize=(8, 6))\n",
     "sns.kdeplot(x=total_fns, y=spec_fns_99, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
     "plt.title('Density of Specializable Functions at 99% Threshold')\n",
     "plt.xlabel('Total Functions')\n",
@@ -381,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 98,
    "id": "44aa1c5c",
    "metadata": {},
    "outputs": [
@@ -389,7 +390,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_14889/3232229166.py:10: FutureWarning: \n",
+      "/tmp/ipykernel_4673/2290578906.py:4: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -398,9 +399,9 @@
     },
     {
      "data": {
-      "image/png": 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",
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FderUMaavX79eLVq00Ny5c429mzfffLPC5VVmPF6o7DkdMWKE42KLC13ssuPK8vDwKDf+pSt/DTRq1Ehubm768ccff1Vd52vcuLGKi4v1888/G+FgWZZyc3OvKPS8vLw0atQojRo1Srm5udqyZYteeeUVxcXFadOmTVVaFoeSLnD48GHNnDlTDRo0KHey7mLc3NwUEhLiuHa87LBOZT4lV0VmZqa++uoro23Dhg2qX7++42TXjTfeKEn6+uuvjX6bN28utzwPD49K1xYeHq5t27aVe3G89957qlevXrVcOujl5aWQkBD9/e9/N+oqLS3V+vXrdcMNN1zRm0ZZqFzol19+0ZEjRyrca0tPTzcel13ZUfYmHRkZKcuy9OOPP8put5f7KTt01rFjRzVo0EDvvPPOZQ9Pnq/sjfnC0Dn/SrmqOHnypIYNGyYXFxctXLiwwpPvLi4uqlOnjhEKOTk5+vDDDytc5qeffmqEQ0lJiTIyMnTTTTdddA+pdevWatWqlb766qsKnze73X7JCwMqo0WLFsrLyzNqKyoq0ieffHJFy/P09FTnzp21adMmxx5gRaryei+7YnH9+vVG+9/+9jedOnXqspdgX46/v7/69eun+++/X9999125K+oup1bvMWRmZqqkpMSR3Dt37tTatWvl5uam+fPnX/J44ooVK7Rt2zZFRkaqWbNmOnPmjGN3u+zwgre3t2688UZ9+OGHCg8PV6NGjeTj41Puyy+V1aRJEz355JMaOXKkAgICtH79em3dulVjxoxRvXr1JJ07znjzzTdr5syZKikpUcOGDfWPf/xDn332Wbnl2Ww2ffDBB3r77bfVvn17ubi4XPSTytNPP62PPvpIgwcP1tNPP61GjRopPT1dH3/8sZ577jk1aNDgirbpQs8++6yGDh2qwYMHa+jQoapTp47efvttZWZmavbs2Vd01cmCBQv0+eefq3fv3mrXrp08PT116NAh/eUvf9Hx48f1/PPPG/3r1KmjJUuW6NSpU7Lb7Y6rkrp166ZOnTpJku644w498sgjmjBhgvbu3avOnTurXr16ysnJ0WeffSabzaZBgwapfv36Gjt2rCZOnKjHH39cDz/8sPz8/PT999/rq6++0qRJkyqsuWPHjmrUqJEmT56skSNHyt3dXenp6eUCv7L+/Oc/69tvv1ViYqKOHDlifNu77DsUkZGR+uCDDxzfED969Khee+01NWnSRAcOHCi3TB8fHw0ZMkRPPfWU46qk/fv3a86cOZesJSEhQcOGDdMf//hH9e3bV02bNlV+fr6ysrK0b98+zZs374q2sUxUVJTmzZun0aNH64knntCZM2e0fPlylZSUXPEyx48fr0cffVQPP/ywhg8frptuukl5eXnavHmzEhIS5O3trbZt20o6972Z+vXrq27dumrRokWFe7l33323IiIi9PLLL6ugoEChoaH6+uuvNW/ePN1222164IEHqlzjgAEDFBkZqaCgIDVq1EhZWVl677331LFjR8f7Q2XV6mAYP368pHNvBA0bNtQtt9yiYcOGacCAAZc9yXTrrbdq69atSklJUU5Ojry8vGSz2ZSamqqIiAhHv+nTp2vmzJl68sknVVRUpL59++qll166onpvvfVW9evXTykpKTpw4ICaNGmi8ePHG99cdnNz04IFCzR16lRNnjxZHh4euv/++zVp0iQNHz7cWN7gwYOVmZmpOXPm6OTJk7Is66JvPK1bt9Y777yj2bNnKzExUYWFhbrllluUlJRUqcsLKyssLExLly5VSkqKxo8fr9LSUrVr106pqam69957r2iZZS+yjRs3atGiRTp58qQaNWqk22+/Xa+//rruueceo3+dOnW0YMECTZs2TampqfL09NSAAQPKBUhiYqJCQkK0cuVKrVixQqWlpWrSpIlCQ0MVHBzs6DdgwADH5csTJ06UZVm68cYby13+eT4fHx+lpaUpOTlZzz33nOrVq6cePXpozpw56tu3b5Wfg2+//ValpaWaOHFiuWkjR45UfHy8HnroIeXl5emdd97RmjVr1LJlSw0fPlxHjx6t8JLm7t27q02bNpo7d66OHDmili1b6uWXX1bv3r0vWctdd92ld999VwsWLNCMGTN04sQJNW7cWLfccouioqKqvG0XatmypV599VXNmTNHo0aNUkBAgGJjY/Xzzz9X6tLsirRr106rV6/WvHnz9Morr+iXX35RQECA7rrrLseeQsuWLTVhwgQtW7ZMgwcPVklJyUVfHy4uLnrttdeUkpKitWvXasGCBWrcuLEeeOABPfvss5e8/Ppi7rrrLm3evFlvvvmmTp8+raZNm+rBBx9UXFxclZflYlVl/xa4zo0bN05/+9vfyl1lBdQmnGMAABgIBgCAgUNJAABDlfcYduzYobi4OEVERFR4D3zLspSSkuK48VdMTEy568SLioo0depU3XnnnerQoYPi4uKM67yLior03HPPKTQ0VPfdd1+5bwEuXLhQU6dOrWrpAIBKqHIwnDp1SkFBQRe9zG7hwoVasmSJJk2apNWrV8vf31+xsbEqKChw9Jk+fbr+/ve/a86cOXr77bd16tQpjRgxwnE52cqVK7Vv3z6tXLlSDz/8sP785z87rgHPzs7W6tWry32VHwBQPap8ueo999xT7vK+MpZladmyZYqLi3PcAyg5OVldunTRhg0bNHDgQJ08eVJr1qzRzJkzHdf7z5o1S5GRkfrnP/+prl27KisrS927d1fbtm3VsmVLzZw5U8eOHZOvr6+mTJmiMWPGVPlLMKWlpSouLparq+sVXQsPANcyy7JUWloqd3d341bzFanW7zEcOnRIOTk5xnX8Hh4e6ty5s3bt2qWBAwdq7969Onv2rO6++25Hn6ZNm6pt27batWuXunbtqnbt2um9995TYWGhPvnkEwUEBMjHx0fvvfee6tate9Gv0l9KcXGx9uzZUy3bCQDXKrvdftnvSVRrMJTdT+bCP4ji7+/vuAtgbm6u6tSpo0aNGpXrU/YV9oceekhff/21evfuLR8fH82dO1f5+flKSUnRsmXLNGfOHMdX72fMmFGpm1uVJeRtt912yb8HAADXo5KSEv3nP/+57N6CVEPffL7wUE1lLnw6v0+dOnXK/c3acePGKSYmRl9++aU+/PBDvffee3rjjTc0bdq0Sv3R+vPvPUMwAKhtys7hVuZQerV+j6Hs1sQX3nUxLy/PcTtef39/nT17Vvn5+Rftc6FPP/1U3377rR577DFt375d3bp1k5eXl6Kioiq8lz4A4MpVazC0aNFCAQEB2rp1q6OtqKhIO3bsUMeOHSVJ7du3V506dYw+P/30kzIzMx19znfmzBklJiYqMTFRbm5ujpveSefOG/yaG2MBAMqr8qGkX375Rd9//73j8aFDh/Tll1+qUaNGat68uQYPHqy0tDS1atVKgYGBSktLk6enp+MvYDVo0EAPPfSQkpOT5ePjo0aNGik5OVk2m63CP3ry6quvKjIyUrfddpskKTQ0VLNmzVK/fv30l7/8RaGhoVe67QCAClQ5GPbu3avBgwc7HiclJUmS466hw4YN05kzZ5SQkKD8/HyFhIRo8eLFxuWlEyZMkLu7u5555hkVFhYqPDxcL730Urlj/9988402bdqkv/71r462Xr16afv27frDH/6gm2++Wa+88kpVNwEAcAm15pYYJSUl2r17tzp06MDJZwC1TlXeA7mJHgDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAzVHgzFxcWaM2eOunfvruDgYPXo0UPz589XaWmpo49lWUpJSVFERISCg4MVExOjzMxMYzlJSUkKCwtTZGSkNm7caEzLyMhQXFxcdZcOAJDkXt0LXLhwod555x0lJyerTZs22rt3r8aPH68GDRpoyJAhjj5LlizRSy+9pFatWik1NVWxsbHatGmTvL29tXnzZm3YsEGLFi3SwYMHNX78eHXp0kU+Pj46ceKE5s6dq6VLl1Z36QAA1cAew+7du9WjRw9FRkaqRYsW6tWrlyIiIrR3715J5/YWli1bpri4OPXs2VM2m03JyckqLCzUhg0bJElZWVkKCwuT3W5XdHS0vL29lZ2dLUmaNWuWBg0apObNm1d36QAA1cAewx133KF33nlH3333nW6++WZ99dVX+uyzzzRhwgRJ0qFDh5STk6OIiAjHPB4eHurcubN27dqlgQMHql27dlq1apXy8/OVnZ2twsJCBQYGaufOndq3b5+mTJlyxfWVlJT82k0EgGtOVd77qj0Yhg0bppMnTyoqKkpubm4qKSnR6NGjFR0dLUnKycmRJPn5+Rnz+fv76/Dhw5Kkrl27qk+fPurfv788PT2VnJysevXqKSEhQUlJSVqxYoWWL18uHx8fTZ06VW3btq10fXv27KmmLQWA61O1B0NGRobWr1+vV155RW3atNGXX36ppKQkNWnSRH379nX0c3FxMeazLMt4HB8fr/j4eMfjlJQUhYeHy93dXampqUpPT9dHH32ksWPHau3atZWuz263y83N7Qq3DgCuTSUlJZX+YFztwTBz5kwNHz5c999/vyQpKChIhw8fVlpamvr27auAgABJUm5urpo0aeKYLy8vT/7+/hUuMysrS+np6Vq3bp3WrFmjTp06ydfXV1FRUZowYYIKCgrk7e1dqfrc3NwIBgC4hGo/+VxYWFhub8DNzc2xR9CiRQsFBARo69atjulFRUXasWOHOnbsWG55lmVp0qRJGjt2rOrXr6/S0lIVFxdLkuPf8y+FBQD8OtW+x3DvvfdqwYIFat68ueNQ0pIlS/TQQw9JOncIafDgwUpLS1OrVq0UGBiotLQ0eXp6Os5DnG/VqlXy8/NTjx49JEmhoaFKSUnR7t27tWXLFrVp00YNGzas7s0AgFqr2oNh4sSJ+u///m8lJCQoLy9PTZo00SOPPKKnn37a0WfYsGE6c+aMEhISlJ+fr5CQEC1evLjc4aDc3FylpaVpxYoVjrbg4GDFxsZqxIgR8vX1VXJycnVvAgDUai7WhWd9r1MlJSXavXu3OnTowDkGALVOVd4DuVcSAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADAQDAMBAMAAADDUSDD/++KPGjBmjO++8UyEhIXrggQe0d+9ex3TLspSSkqKIiAgFBwcrJiZGmZmZxjKSkpIUFhamyMhIbdy40ZiWkZGhuLi4migdAGo99+peYH5+vh599FHdeeedWrhwoXx9fZWdna2GDRs6+ixcuFBLlizRSy+9pFatWik1NVWxsbHatGmTvL29tXnzZm3YsEGLFi3SwYMHNX78eHXp0kU+Pj46ceKE5s6dq6VLl1Z36QAA1cAew8KFC3XDDTcoKSlJwcHBatGihcLDw3XTTTdJOre3sGzZMsXFxalnz56y2WxKTk5WYWGhNmzYIEnKyspSWFiY7Ha7oqOj5e3trezsbEnSrFmzNGjQIDVv3ry6SwcAqAb2GDZv3qyIiAiNGjVKO3bsUNOmTTVo0CA9/PDDkqRDhw4pJydHERERjnk8PDzUuXNn7dq1SwMHDlS7du20atUq5efnKzs7W4WFhQoMDNTOnTu1b98+TZky5YrrKykp+bWbCADXnKq891V7MGRnZ2vFihWKjY1VXFycvvjiC02bNk0eHh568MEHlZOTI0ny8/Mz5vP399fhw4clSV27dlWfPn3Uv39/eXp6Kjk5WfXq1VNCQoKSkpK0YsUKLV++XD4+Ppo6daratm1b6fr27NlTfRsLANehag8Gy7LUvn17Pfvss5Kk2267Td9++61WrFihBx980NHPxcWl3Hzni4+PV3x8vONxSkqKwsPD5e7urtTUVKWnp+ujjz7S2LFjtXbt2krXZ7fb5ebmdgVbBgDXrpKSkkp/MK72YAgICNAtt9xitLVu3Vp/+9vfHNMlKTc3V02aNHH0ycvLk7+/f4XLzMrKUnp6utatW6c1a9aoU6dO8vX1VVRUlCZMmKCCggJ5e3tXqj43NzeCAQAuodpPPoeGhuq7774z2g4cOKAbb7xRktSiRQsFBARo69atjulFRUXasWOHOnbsWG55lmVp0qRJGjt2rOrXr6/S0lIVFxdLkuPf0tLS6t4MAKi1qj0YhgwZon//+99asGCBDh48qPT0dK1atUqDBg2SdO4Q0uDBg5WWlqa///3v+uabbzR+/Hh5enoqOjq63PJWrVolPz8/9ejRQ9K54Nm2bZt2796tpUuXqk2bNsalsACAX6faDyUFBwdr/vz5mj17tl599VW1aNFCEyZMUJ8+fRx9hg0bpjNnzighIUH5+fkKCQnR4sWLyx0Oys3NVVpamlasWGEsPzY2ViNGjJCvr6+Sk5OrexMAoFZzsS4863udKikp0e7du9WhQwfOMQCodaryHsi9kgAABoIBAGAgGAAAhmo/+YyalZOTo1OnTjm7DKfx8vJyfBcGQM0gGK4hJ0+e1MSJE8t9S7w2cXV11axZs9SgQQNnlwJctwiGa0iDBg00bdo0p+0xHDlyRIsXL9bQoUPVrFkzp9Tg5eVFKAA1jGC4xvwWDqM0a9ZMgYGBzi4DQA3h5DMAwEAwAAAMBAMAwEAwAAAMBAMAwMBVSQB+80pLS5WZman8/Hw1atRIbdu2lasrn2trCsEA4Dft888/17vvvqu8vDxHm5+fnwYMGKDQ0FAnVnb9IhgA/GZ9/vnnSktLk91u17Bhw9S8eXMdPnxYGRkZSktL04gRIwiHGsC+GIDfpNLSUr377ruy2+166qmn1Lp1a3l6eqp169Z66qmnZLfbtXr1av60bw0gGAD8JmVmZiovL0+9e/cudz7B1dVVUVFRys3NVWZmppMqvH4RDAB+k/Lz8yVJzZs3r3D6jTfeaPRD9SEYAPwmNWrUSJJ0+PDhCqf/8MMPRj9UH4IBwG9S27Zt5efnp4yMjHLnEUpLS/X+++/L399fbdu2dVKF1y+CAcBvkqurqwYMGKA9e/botddeU1ZWlgoLC5WVlaXXXntNe/bsUf/+/fk+Qw3gclUAv1mhoaEaMWKE3n33XSUnJzva/f39uVS1BhEMAH7TQkND1aFDB775fBURDAB+81xdXRUUFOTsMmoNIhcAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYCAYAAAGggEAYHB3dgEArh05OTk6deqUs8twGi8vLwUEBDi7jBpHMAColJMnT2rixImyLMvZpTiNq6urZs2apQYNGji7lBpFMAColAYNGmjatGlO22M4cuSIFi9erKFDh6pZs2ZOqcHLy+u6DwWJYABQBb+FwyjNmjVTYGCgs8u4rnHyGQBgIBgAAAaCAQBgIBgAAAaCAQBgIBgAAAaCAQBgIBgAAAaCAQBgIBgAAAaCAQBgIBgAAAaCAQBgqPFgSEtLU1BQkKZPn+5osyxLKSkpioiIUHBwsGJiYpSZmWnMl5SUpLCwMEVGRmrjxo3GtIyMDMXFxdV06QBQK9VoMHzxxRdauXKlgoKCjPaFCxdqyZIlmjRpklavXi1/f3/FxsaqoKBAkrR582Zt2LBBixYt0pgxYzR+/HgdO3ZMknTixAnNnTtXkyZNqsnSAaDWqrFg+OWXX/Tcc89p2rRpatSokaPdsiwtW7ZMcXFx6tmzp2w2m5KTk1VYWKgNGzZIkrKyshQWFia73a7o6Gh5e3srOztbkjRr1iwNGjRIzZs3r6nSAaBWq7E/1JOYmKh77rlHXbp0UWpqqqP90KFDysnJUUREhKPNw8NDnTt31q5duzRw4EC1a9dOq1atUn5+vrKzs1VYWKjAwEDt3LlT+/bt05QpU664rpKSkl+zWbVaaWmp41+eR1xtjL9fpyrPWY0Ew8aNG/Wf//xHq1evLjctJydHkuTn52e0+/v76/Dhw5Kkrl27qk+fPurfv788PT2VnJysevXqKSEhQUlJSVqxYoWWL18uHx8fTZ06VW3btq10bXv27PkVW1a7lf3uvv76a/38889Orga1DePv6qn2YDhy5IimT5+uxYsXq27duhft5+LiYjy+8A+Mx8fHKz4+3vE4JSVF4eHhcnd3V2pqqtLT0/XRRx9p7NixWrt2baXrs9vtcnNzq3R//J/vv/9ekhQUFKSbbrrJydWgtmH8/TolJSWV/mBc7cGwb98+5eXlqV+/fkZBO3bs0FtvvaVNmzZJknJzc9WkSRNHn7y8PPn7+1e4zKysLKWnp2vdunVas2aNOnXqJF9fX0VFRWnChAkqKCiQt7d3pepzc3MjGK6Qq6ur41+eQ1xtjL+rp9qD4a677lJ6errRNn78eLVu3VrDhg1Ty5YtFRAQoK1bt+q2226TJBUVFWnHjh0aM2ZMueVZlqVJkyZp7Nixql+/vkpLS1VcXCxJjn/Ljj0CAH69ag8Gb29v2Ww2o83Ly0uNGzd2tA8ePFhpaWlq1aqVAgMDlZaWJk9PT0VHR5db3qpVq+Tn56cePXpIkkJDQ5WSkqLdu3dry5YtatOmjRo2bFjdmwEAtVaNXZV0KcOGDdOZM2eUkJCg/Px8hYSEaPHixeUOB+Xm5iotLU0rVqxwtAUHBys2NlYjRoyQr6+vkpOTr3b5AHBduyrBsHz5cuOxi4tLuZPLFfH399fmzZvLtY8cOVIjR46s1hoBAOdwryQAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAYCAYAgIFgAAAY3J1dwLUkLy9PBQUFzi7DaY4cOWL8Wxt5e3vLz8/P2WUANYpgqKS8vDxNmjRZZ88WObsUp1u8eLGzS3CaOnU8lJiYQDjgukYwVFJBQYHOni3STZG/V93G/s4uB05w5niuvv84XQUFBQQDrmsEQxXVbewvL/8bnF0GANQYTj4DAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDA4O7sAq41hcdznV0CnITfPWoLgqGKsj9Od3YJAFCjCIYqahn5e3k29nd2GXCCwuO5Tv9gkJeXp4KCAqfW4CxHjhwx/q2NvL295efnV+PrqfZgSEtL0wcffKD9+/fL09NTHTt21JgxY9S6dWtHH8uyNH/+fK1cuVInTpxQSEiIJk2apLZt2zr6JCUlad26dfLy8tJzzz2n+++/3zEtIyND69ev14IFC6q7/MvybOwvL/8brvp6gby8PE2e9KKKzhY7uxSnWrx4sbNLcBqPOu5KSJxa4+FQ7cGwfft2/eEPf5DdbldJSYnmzJmjP/7xj9q4caO8vLwkSQsXLtSSJUv00ksvqVWrVkpNTVVsbKw2bdokb29vbd68WRs2bNCiRYt08OBBjR8/Xl26dJGPj49OnDihuXPnaunSpdVdOvCbVlBQoKKzxerfVGpSx9nV4Gr76ay0+sdiFRQUXHvBsGjRIuNxUlKSwsPDtW/fPnXu3FmWZWnZsmWKi4tTz549JUnJycnq0qWLNmzYoIEDByorK0thYWGy2+2y2+2aMWOGsrOz5ePjo1mzZmnQoEFq3rz5FdVXUlJyRfOVlpZe0Xy4/pSWll7xOPq165XOhUJzT5ervn44myXpysdfVeap8XMMJ0+elCQ1atRIknTo0CHl5OQoIiLC0cfDw0OdO3fWrl27NHDgQLVr106rVq1Sfn6+srOzVVhYqMDAQO3cuVP79u3TlClTrriePXv2XNF8OTk5V7xOXF++/vpr/fzzz1d9vYxBSFdn/NVoMFiWpaSkJN1xxx2y2WyS/m9wX7gr5O/vr8OHD0uSunbtqj59+qh///7y9PRUcnKy6tWrp4SEBCUlJWnFihVavny5fHx8NHXqVOPcxOXY7Xa5ublVeVu+//77Ks+D61NQUJBuuummq75exiCkKx9/JSUllf5gXKPBkJiYqG+++UZvv/12uWkuLuausGVZxuP4+HjFx8c7HqekpCg8PFzu7u5KTU1Venq6PvroI40dO1Zr166tdE1ubm5XFAyurnwXEOe4urpe0RiqjvUCV2P81dhImzp1qjZv3qw333xTN9zwf1fxBAQESJJyc80vC+Xl5cnfv+LLQLOyspSenq4//elP2r59uzp16iRfX19FRUVp3759tfbyPQCoCdUeDJZlKTExUR988IHefPNNtWzZ0pjeokULBQQEaOvWrY62oqIi7dixQx07dqxweZMmTdLYsWNVv359lZaWqrj43OV6Zf9yYhgAqk+1H0pKSEjQhg0b9Nprr6l+/fqOcwoNGjSQp6enXFxcNHjwYKWlpalVq1YKDAxUWlqaPD09FR0dXW55q1atkp+fn3r06CFJCg0NVUpKinbv3q0tW7aoTZs2atiwYXVvBgDUWtUeDCtWrJAkxcTEGO1JSUnq16+fJGnYsGE6c+aMEhISlJ+fr5CQEC1evFje3t7GPLm5uUpLS3MsU5KCg4MVGxurESNGyNfXV8nJydW9CQBQq1V7MHz99deX7ePi4lLu5HJF/P39tXnz5nLtI0eO1MiRI6+4RgDAxXGZAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAwEAwDAQDAAAAzuzi7gWnPmeK6zS4CT8LtHbUEwVJK3t7fq1PHQ9x+nO7sUOFGdOh7y9vZ2dhlAjSIYKsnPz0+JiQkqKChwdilOc+TIES1evFhDhw5Vs2bNnF2OU3h7e8vPz8/ZZQA1imCoAj8/P94UJDVr1kyBgYHOLgNADeHkMwDAQDAAAAwEAwDAwDkG4BqTUyRJlrPLwFV27vd+dRAMwDXm3Z+cXQGudwQDcI0Z0EQK8HB2Fbjacoqu3ocCggG4xgR4SM09XZxdBq66q3f4kJPPAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMBAMAAADwQAAMLg7uwAAVfPTWUmynF0GrrJzv/erg2AArhHe3t7yqOOu1T8WO7sUOIlHHXd5e3vX+HoIBuAa4efnp4TEqSooKHB2KU5x5MgRLV68WEOHDlWzZs2cXY5TeHt7y8/Pr8bXQzAA1xA/P7+r8sbwW9asWTMFBgY6u4zrGiefAQAGggEAYCAYAAAGggEAYCAYAAAGpwbDW2+9pe7du8tut6tfv37auXOnY9qiRYvUpUsXdenSRUuXLjXm+/e//61+/fqppKTkKlcMANc/p12umpGRoaSkJE2ePFmhoaF65513NGzYMG3cuFEnT57UvHnztGDBAknSiBEj1KVLF9lsNp09e1aTJ09WYmKi3NzcnFU+AFy3nBYMS5Ys0UMPPaQBAwZIkl544QV98sknWrFihW699VYFBQUpPDxckhQUFKSsrCzZbDYtWrRInTp1UnBwcJXWZ1nnbiFQVFR0TQdKbm6uCgsLnbLuH3/8UXXq1NHhw4edtrfm6ekpf39/p6wbjL9refyVPWdl74WX4pRgKCoq0r59+zR8+HCj/e6779auXbv04IMP6sCBAzp8+LAsy9KBAwdks9l08OBBrVu3TmvWrKnyOktLSyVJ//nPf6plG2ojDw8PDR06VJJ07Ngxp9Vx5MgRp60bzsP4qx5l74WX4pRgOHbsmEpKSsp9g9Pf3185OTm65ZZbNHr0aMXGxkqSnn32Wd1yyy16/PHH9dxzz+mTTz7R/Pnz5e7urhdeeEGdO3e+7Drd3d1lt9vl6uoqFxeXGtkuAPitsixLpaWlcne//Nu+U2+JceEbtGVZjrZHH31Ujz76qGPa2rVrVb9+fXXo0EG9evXS6tWrdfToUY0ePVqbN2+Wh4fHJdfl6up62T4AACcFg4+Pj9zc3JSbm2u05+XlVXj87ueff9arr76qt956S//+97/VqlUrx09xcbG+++47BQUFXa3yAeC65pTLVT08PHT77bdr69atRvs///lPdezYsVz/GTNm6PHHH9cNN9yg0tJSFRf/322HS0pKKnXMDABQOU47lBQbG6vnn39e7du3V8eOHbVy5UodOXJEAwcONPpt3bpVBw8e1MyZMyVJwcHB2r9/v/7nf/5HR48elaurq26++WZnbAIAXJecFgy9e/fWsWPH9Nprr+mnn36SzWbT66+/rhtvvNHRp7CwUImJiZo7d65cXc/t3DRt2lQvvviiJkyYIA8PDyUnJ8vT09NZmwEA1x0XqzIXtQIAag3ulQQAMBAMAAADwQAAMBAMKKd79+7l7mh7NQQFBekf//jHr1pGTEyMpk+ffsk+zto+VA7jz/kIhqugoKBA06dP17333qvg4GANHDhQX3zxhdHHsiylpKQoIiJCwcHBiomJUWZmptEnKSlJYWFhioyM1MaNG41pGRkZiouLu2QdMTExCgoKuuhP9+7dq2eD8ZtSmfGXm5urcePGKSIiQiEhIfrjH/+oAwcOGH0Yf7WHU2+JUVtMnDhRmZmZmjlzppo0aaL169crNjZWGRkZatq0qSRp4cKFWrJkiV566SW1atVKqampio2N1aZNm+Tt7a3Nmzdrw4YNWrRokQ4ePKjx48erS5cu8vHx0YkTJzR37tzLfgpJSUnR2bNnJZ27EdiAAQO0dOlStWnTRpJ+1V1nz549qzp16lzx/Kg5lxt/lmXp6aeflru7u1577TV5e3tr6dKlio2N1caNG+Xl5cX4q2XYY6hhhYWF+uCDD/Tcc8+pc+fOCgwMVHx8vFq0aKG3335b0rm9hWXLlikuLk49e/aUzWZTcnKyCgsLtWHDBklSVlaWwsLCZLfbFR0dLW9vb2VnZ0uSZs2apUGDBql58+aXrKVx48YKCAhQQECAfH19L9pWVvf48ePVsWNHRUZGauXKlY5phw4dUlBQkDIyMhQTEyO73a7169dLktasWaOoqCjZ7Xb16tVLb731lmO+oqIiJSYmKiIiQna7Xd27d1daWppR47Fjx/T0008rJCREPXv21IcffmhM3759u/r376/27dsrIiJCL7/8svFN+Avl5eUpLi5OwcHB6t69u6PO2qIy4+/AgQPavXu3pkyZouDgYLVu3VqTJ0/WqVOnHHsGjL9zasv4IxhqWHFxsUpKSlS3bl2j3dPTU59//rmkcwM9JydHERERjukeHh7q3Lmzdu3aJUlq166d9u7dq/z8fO3du1eFhYUKDAzUzp07tW/fPsXExFRr3UuWLFH79u3117/+VYMGDdKUKVOUlZVl9Hn55ZcVExOjjIwMRUREaNWqVZozZ45Gjx6tjIwMPfvss5o3b57WrVsnSVq+fLk2b96suXPnatOmTZo5c6bxhUZJmj9/vqKiorR+/Xp169ZNY8aM0fHjxyWdux//8OHDZbfb9d5772nKlClavXq1UlNTL7od48aN0w8//KA333xT8+bN09tvv628vLxqfa5+yyoz/oqKiiTJ6OPm5qY6deros88+k8T4k2rZ+LNQ4x555BHrscces44ePWoVFxdbf/3rX62goCCrZ8+elmVZ1meffWbZbDbr6NGjxnwTJ060hg4d6ng8b94863e/+50VHR1tffDBB9aZM2es6Ohoa8+ePdby5cutnj17Wo888oj1zTffXLam7Oxsy2azWf/5z3/KTbv33nutMWPGOB6XlpZa4eHh1ttvv23Mu3TpUmO+e+65x0pPTzfaXn31VeuRRx6xLMuypk6dag0ePNgqLS2tsCabzWbNmTPH8fiXX36xgoKCrP/5n/+xLMuyZs+ebd13333G/H/5y1+sDh06WCUlJZZlWdZjjz1mTZs2zbIsy9q/f79ls9ms3bt3O/p/++23ls1ms5YsWXLJ5+d6crnxV1RUZN17773WqFGjrOPHj1tnzpyx0tLSLJvNxvirpeOPcwxXwcyZMzVhwgR169ZNbm5uuu222xQdHV3ujwZVdBvy88XHxys+Pt7xOCUlReHh4XJ3d1dqaqrS09P10UcfaezYsVq7du2vqvn8u9W6uLjI39+/3Ced9u3bO/7/888/68iRI3rhhRf04osvOtqLi4vVoEEDSVLfvn01dOhQ9erVS127dlVkZKSxl3Ther28vFS/fn39/PPPks4dzujYsaPxPN1xxx06deqUjh49Wu5QRlZWltzd3Y06b7nlFjVs2LDKz8e17HLjr06dOpo3b55eeOEFhYWFyc3NTeHh4erWrZuxHMZf7Rl/BMNVcNNNN+kvf/mLTp06pYKCAjVp0kTPPPOMWrRoIUkKCAiQdO7KkCZNmjjmu9htyKVzgy49Pd3xF+06deokX19fRUVFacKECSooKJC3t/cV13zhH/NwcXEpF1ReXl6O/5fd4Xbq1KkKCQkx+pXd5+r222/Xhx9+qC1btuif//ynnnnmGXXp0kXz5s1z9L3wBKKLi4tj2Reu//y2S/3xpdr+h5kuN/6kc2+y7733nk6ePKmzZ8/K19dXAwYMMN7Uzsf4k9F2vY0/zjFcRV5eXmrSpIny8/P1ySefqEePHpKkFi1aKCAgwLgNeVFRkXbs2FHhbcgty9KkSZM0duxY1a9f37gVedm/V/tW5P7+/mratKmys7MVGBho/LRs2dLRz9vbW71799a0adM0Z84c/e1vf3Mcw72cNm3aaNeuXcYL9PPPP1f9+vUdV3edr3Xr1iouLtbevXsdbfv379eJEyeufEOvYRcbf+dr0KCBfH19deDAAe3du7fCPoy/63/8scdwFfzv//6vLMvSzTffrO+//14zZ87UzTffrH79+kk694li8ODBSktLU6tWrRQYGKi0tDR5enoqOjq63PJWrVolPz8/x4s2NDRUKSkp2r17t7Zs2aI2bdo4ZXc1Pj5e06ZNk7e3t7p166aioiLt3btXJ06cUGxsrJYuXaqAgAC1a9dOrq6u2rRpkwICAipd66BBg/Tmm29q6tSp+sMf/qDvvvtOKSkpio2NdXwqPF/r1q3VtWtXTZw4UVOnTpWbm5tmzJhR6+7Ge7nxJ0nvv/++fH191bx5c3399deaMWOGfve735U71CIx/mrD+CMYroKTJ09q9uzZOnr0qBo3bqyePXtq9OjRxm7rsGHDdObMGSUkJCg/P18hISFavHhxud3x3NxcpaWlacWKFY624OBgxcbGasSIEfL19VVycvJV27bzDRgwQJ6enlq0aJFmzZolLy8v2Ww2DRkyRNK5T6wLFy7UwYMH5erqKrvdrtdff73CF1VFmjZtqtdff10zZ87UqlWr1LhxY/Xv319PPvnkRedJSkrSxIkT9dhjj8nf319/+tOfjEMHtUFlxl9OTo5eeukl5eXlKSAgQA888ICeeuqpcsti/NWO8cdttwEABs4xAAAMBAMAwEAwAAAMBAMAwEAwAAAMBAMAwEAwAAAMBAMAwEAwAAAMBAMAwEAwAAAM/w/jMXw+EE2lNAAAAABJRU5ErkJggg==",
       "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
+       "<Figure size 400x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -408,23 +409,16 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "# Set a nice style for the visualization\n",
     "sns.set_style(\"whitegrid\")\n",
     "\n",
-    "# Create the Box Plot directly from the two Series\n",
-    "plt.figure(figsize=(8, 6))\n",
+    "plt.figure(figsize=(4, 6))\n",
     "sns.boxplot(\n",
     "    x=['90% Threshold'] * len(spec_fns_90) + ['99% Threshold'] * len(spec_fns_99),\n",
     "    y=list(spec_fns_90) + list(spec_fns_99),\n",
     "    palette={'90% Threshold': 'skyblue', '99% Threshold': 'coral'}\n",
     ")\n",
     "\n",
-    "# Add Customizations\n",
-    "plt.title('Distribution of Specializable Functions by Threshold')\n",
+    "plt.title('Distribution of Specializable Functions')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.ylim(0, 1)\n",
     "\n",
@@ -434,7 +428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 99,
    "id": "bb2f872f",
    "metadata": {},
    "outputs": [],
@@ -451,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 100,
    "id": "f94c19a6",
    "metadata": {},
    "outputs": [
@@ -459,7 +453,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_14889/20658457.py:21: FutureWarning: \n",
+      "/tmp/ipykernel_4673/2630265299.py:21: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -468,7 +462,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x600 with 1 Axes>"
       ]
@@ -512,7 +506,6 @@
     "plt.title('Distribution of Specializable Functions (90% Threshold)')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.ylim(0, 1)\n",
-    "plt.xticks(rotation=15)\n",
     "\n",
     "plt.tight_layout()\n",
     "plt.show()"
@@ -520,7 +513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 101,
    "id": "41347983",
    "metadata": {},
    "outputs": [
@@ -528,7 +521,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_14889/3306381268.py:21: FutureWarning: \n",
+      "/tmp/ipykernel_4673/3693874740.py:21: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -537,7 +530,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 800x600 with 1 Axes>"
       ]
@@ -581,7 +574,6 @@
     "plt.title('Distribution of Specializable Functions (99% Threshold)')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.ylim(0, 1)\n",
-    "plt.xticks(rotation=15)\n",
     "\n",
     "plt.tight_layout()\n",
     "plt.show()"
@@ -589,15 +581,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 102,
    "id": "979879b1",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
+       "<Figure size 800x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -622,7 +614,7 @@
     "    thresholds += ['90% Threshold'] * len(vals_90) + ['99% Threshold'] * len(vals_99)\n",
     "    values += list(vals_90) + list(vals_99)\n",
     "\n",
-    "plt.figure(figsize=(10, 6))\n",
+    "plt.figure(figsize=(8, 6))\n",
     "sns.boxplot(\n",
     "    x=labels,\n",
     "    y=values,\n",
@@ -636,7 +628,64 @@
     "plt.title('Distribution of Specializable Functions by Kind and Threshold')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.ylim(0, 1)\n",
-    "plt.xticks(rotation=15)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "6fab938f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "avg_already_spec_90 = (df_90['all_fn_already_specializable_fns'] / total_fns).mean()\n",
+    "avg_newly_spec_90 = (df_90['all_fn_newly_specializable_fns'] / total_fns).mean()\n",
+    "avg_already_spec_99 = (df_99['all_fn_already_specializable_fns'] / total_fns).mean()\n",
+    "avg_newly_spec_99 = (df_99['all_fn_newly_specializable_fns'] / total_fns).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "6028c07b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x_position = [0, 1]\n",
+    "plt.figure(figsize=(4, 6)) \n",
+    "\n",
+    "sns.barplot(\n",
+    "    x=x_position,\n",
+    "    y=[avg_already_spec_90, avg_already_spec_99],\n",
+    "    label='Already Specializable',\n",
+    "    color='skyblue'\n",
+    ")\n",
+    "sns.barplot(\n",
+    "    x=x_position,\n",
+    "    y=[avg_newly_spec_90, avg_newly_spec_99],\n",
+    "    label='Newly Specializable',\n",
+    "    color='coral',\n",
+    "    bottom=[avg_already_spec_90, avg_already_spec_99] \n",
+    ")\n",
+    "\n",
+    "plt.title('Specializable Functions')\n",
+    "plt.ylim(0, 0.3) \n",
+    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.xticks(x_position, ['90% Threshold', '99% Threshold'])\n",
+    "plt.legend()\n",
+    "\n",
     "plt.tight_layout()\n",
     "plt.show()"
    ]

From 070ca17725085fc992f0364626cb6910583acadd Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 11:12:09 +0100
Subject: [PATCH 03/12] chore: fn pairs deduplication

---
 .../src/analysis/sti_analysis/compare.rs      |  17 +-
 spec-trait-inst/tests/scripts/analysis.ipynb  | 258 +++++-------------
 2 files changed, 78 insertions(+), 197 deletions(-)

diff --git a/spec-trait-inst/src/analysis/sti_analysis/compare.rs b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
index 7cbb75f..b48b4b5 100644
--- a/spec-trait-inst/src/analysis/sti_analysis/compare.rs
+++ b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
@@ -73,18 +73,23 @@ impl<'tcx, 'a> STIComparison<'tcx, 'a> {
 
     /// Get pairs of specializable functions along with their similarity score.
     pub fn get_specializable_fns(&self) -> Vec<SpecializablePair<'a>> {
-        let mut specializable = vec![];
+        let mut specializable: Vec<SpecializablePair> = vec![];
         let fns = self.get_fns_with_tree();
         for (i, (fn_a, tree_a)) in fns.iter().enumerate() {
             log::trace!("processing function {}/{}", i + 1, fns.len());
             for (fn_b, tree_b) in fns.iter().skip(i + 1) {
                 if specializable_fn_heuristic(fn_a, fn_b) {
                     if let Some(similarity) = self.is_specializable(tree_a, tree_b) {
-                        specializable.push(SpecializablePair {
-                            fn_a,
-                            fn_b,
-                            similarity,
-                        });
+                        if !specializable.iter().any(|pair| {
+                            pair.fn_a.id == fn_a.id && pair.fn_b.id == fn_b.id
+                                || pair.fn_a.id == fn_b.id && pair.fn_b.id == fn_a.id
+                        }) {
+                            specializable.push(SpecializablePair {
+                                fn_a,
+                                fn_b,
+                                similarity,
+                            });
+                        }
                     }
                 }
             }
diff --git a/spec-trait-inst/tests/scripts/analysis.ipynb b/spec-trait-inst/tests/scripts/analysis.ipynb
index c1b3377..d20f0c7 100644
--- a/spec-trait-inst/tests/scripts/analysis.ipynb
+++ b/spec-trait-inst/tests/scripts/analysis.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 1,
    "id": "ce1a4aa7",
    "metadata": {},
    "outputs": [],
@@ -10,12 +10,13 @@
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "import seaborn as sns\n",
+    "import numpy as np\n",
     "%matplotlib inline"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 2,
    "id": "6e3bf9b2",
    "metadata": {},
    "outputs": [
@@ -270,7 +271,7 @@
        "[5 rows x 135 columns]"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -283,27 +284,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 6,
    "id": "e27bedab",
    "metadata": {},
    "outputs": [],
    "source": [
     "total_fns = df_90['total_fns']\n",
+    "total_traits = df_90['total_traits']\n",
     "spec_fns_90 = df_90['all_fn_specializable_fns'] / total_fns\n",
     "spec_fns_99 = df_99['all_fn_specializable_fns'] / total_fns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 110,
    "id": "fb0a1cc7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -311,12 +313,12 @@
     }
    ],
    "source": [
-    "plt.figure(figsize=(8, 6))\n",
-    "plt.scatter(total_fns, spec_fns_90, alpha=0.8, color='skyblue')\n",
-    "plt.scatter(total_fns, spec_fns_99, alpha=0.8, color='coral')\n",
-    "plt.title('Proportion of Specializable Functions')\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(total_fns, spec_fns_90, color='skyblue')\n",
+    "plt.scatter(total_fns, spec_fns_99, color='coral')\n",
+    "plt.title('Proportion of Specializable Functions vs Total Functions')\n",
     "plt.xlabel('Total Functions')\n",
-    "plt.ylabel('Proportion of Specializable Functions')\n",
+    "plt.ylabel('Specializable Functions')\n",
     "plt.grid(True)\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
     "plt.legend(['90% Threshold', '99% Threshold'])\n",
@@ -325,7 +327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 17,
    "id": "ca4b0552",
    "metadata": {},
    "outputs": [
@@ -354,35 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
-   "id": "95bfd3bf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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mTEEQBOHu3buCUqkUtmzZUuV4tR1PaGio0KlTJ+HGjRsa93/llVcEHx8fITs7WxCE/34nSr/Gzz77bKW/60qlssrxkWmxpYHMilCqv/TKlSu4ePEihgwZAgAoKipS/3viiSeQnp6OS5cuady/7NfkqrNqVdXF9u3bw87ODu+99x4SEhKQlpam95hDQkKQmZmJvXv3AnhUjYuPj0evXr2qPMHt0qVLuHPnDoYNG4YaNf77Va1duzYGDBiA48ePa7RZaMve3h5r167Fnj17EB4ejqeffhp3797FunXrMGjQIFy8eFFj/dq1a6Nfv34ay4KDg1FSUoIjR44AAH7++WfUrVsXffr00Xgd2rdvD3d3dxw+fBjAo6/ui4uLMW7cONHjPn36tPor9Pbt26Njx44ICwtDcXExLl++LHp7KklJSVi+fDlee+01PPfccxq3xcfHY8SIEfDy8kKHDh3QsWNH/PHHH0hNTS23nQEDBmhU652cnNCnTx8cOXKkXPuHyrFjx3D//n2MGDFCY7+VlJSgZ8+eOHnyJPLy8qp9DiEhIfjyyy81/nl7e4vcE4/07t0bNjY26p89PT0BANevXwfw6H159epVjBo1qspvJ8Q4dOgQHB0dMXDgQI3lqm9oyrZ3lP0Ww83NDa6uruoxAoC3tzcSEhLw8ccfIzk5WavWF+DRcWTdunV4+umn0alTJ3To0AGdOnXC5cuXK3zdtfXCCy8gJycHYWFhSEtLQ0ZGBlatWqVuT1JV4+vXr48hQ4bg66+/xueff4779+/j7NmzmDVrlvp1UR0PatWqhQ0bNuDAgQPYt28fduzYAVdXV8yfPx9DhgyBv78/Dh8+jJEjR8Lf3x8vvPACzp07p/NzqEj79u3RuHFj9c81a9ZEy5YtK/zGZsCAARo///bbbygqKsKwYcM03v81a9ZEly5d1MeN+vXro3nz5up2m9OnT6OkpETn8Rw6dAgBAQFo1KiRxn1HjBiBBw8eaLSMlZaXl4eTJ09W+rtO8saWBjIbeXl5uH//PpRKJQAgIyMDABAZGYnIyMgK73Pv3j2Nn+vXr6/xs+prw/z8fACP2hC2bNmCDRs2YNGiRcjLy0OzZs0wfvx4vPjiizqNu0OHDvD398dnn32m7jW8fv06Fi1aVOX9VGNXfR1c2mOPPYaSkhJkZ2dX2GahjTZt2qBNmzYAHv0h8emnnyIiIgKrV6/G6tWr1etVdIKgapnq6+HMzExkZ2ejU6dOVT4XVT9vVV/9VuTGjRsYN24cWrVqhblz56JJkyaoWbMmTpw4gUWLFqlfP7EOHTqEOXPmYPjw4XjjjTc0btu8eTOWLVuGMWPGYObMmXB2dkaNGjWwevXqcn8UAJXvp4cPHyIvL0/dDlCa6j38+uuvVzrGrKysamdcaNiwocaJnvqo7HdE1Ruqeg1L96Lq6/79+3BzcyvXguHq6gpbW9tybQhlx6gaZ+l++I8++ggxMTH48ssvsXr1ajg6OuLJJ5/E7NmzK/ydUlm2bBm2bduGSZMmoUuXLqhXrx4UCgXefffdavvtqxIQEICIiAgsW7YM/fv3B/CoxWPmzJlYuXKlxv5csGABBEHAwoULMX/+fNSoUQPDhg2Dq6srfvvtt3LPv/R9d+3ahfPnz2P16tW4d+8epk2bhrfffhtDhgxBTEwMpk+fjt27d8POzk7n51KaNq+FStn9rnr/q/qhy1IFe4VCgS1btmDt2rXYsGEDli1bpv7D4I033tD440eb8dy/f7/S46rq9opkZ2ejpKSkymMiyRcDL5mN/fv3o7i4WD0LgbOzMwBg8uTJePLJJyu8j6ofUwx/f3/4+/ujuLgYp06dwtatW/H+++/Dzc0NgwcP1mns48ePx8yZM5GSkoJt27ahZcuW6NGjR5X3UT2/9PT0crfduXMHNWrUKDfdk64UCgUmTJiAtWvX4vz58xq3qT6UKlqm+nBxdnZG/fr1sWHDhgq3rzpBTjWd0a1bt8pVV6ry448/Ii8vD1FRUWjSpIl6+dmzZ7XeRllnz57FtGnT0LVrVyxevLjc7d988w26du2KhQsXaiz/999/K9xeZfvJzs6u0sCqeo3fe+89+Pj4VLiOq6trlc+jOvb29hXOrVz2j0FtqV7Dsid76qN+/fo4fvw4BEHQCL2ZmZkoKipS7yex43znnXfwzjvv4MaNG9i3bx9WrFiBzMzMKk8yUs1/++abb2osv3fvnt6/byNGjMCQIUNw5coV2NraokWLFoiNjYVCoYC/v796PUdHRyxfvhzvvvsubt68icceewwuLi4YOHAg/Pz8YGtb8Uf3vXv3sGzZMrz33nuoV68efv75Z9SoUQPPPvssgEd9sOvWrcPly5fRrl07vZ6LLsr+QaN6XdesWaNRla1IkyZN8P777wN49C3Dt99+i+joaBQWFlZbPCirfv36lR5XS4+rrLp160KhUFR5TCT5YksDmYUbN27ggw8+QJ06ddTzRLZu3RotW7bE2bNn4eXlVeE/feZetbGxgY+Pj3rO0JSUlErXLVspLuvJJ59E48aNsWzZMvz+++8YO3ZstScUtWrVCg0aNEBSUpJGK0deXh6+//57+Pr66lTdVR3Uy7p9+zZyc3PVVQ6Vf//9t9zk+ElJSahRo4b6JJDevXvj/v37KCkpqfB1UJ0l3qNHD9jY2CA+Pl7UmFX7qvSJPIIgYMeOHaK2o3Ljxg1MmjQJzZo1w5o1ayqsdikUinInDp09e7bCGQsA4Pvvv9eoIuXm5uLnn3+Gv7+/RotAaZ07d0bdunVx4cKFSt/DFZ28JEaTJk1w+fJljdkOVCf86KJVq1Zo3rw5vvrqq3IzKJRWtjJclYCAAOTl5eHHH3/UWL5r1y717fpo3LgxXnjhBQQGBpY7+78shUJR7v2wf//+cgG/ut/5ytja2qJNmzZo0aIFcnJysH37dvTr10/jDzmVevXqwdPTEy4uLvjpp59w6dKlKuenXrZsGby8vNR/mAuCgMLCQvUJjao/1gQZTD0IAEFBQbC1tcXVq1crff9XpFWrVpg6dSqUSmW1r2dFAgICcOjQoXKv6ddff41atWpVOgWbo6MjvL29K/1dJ3ljhZdk5/z58yguLkZRURHu3r2Lo0ePYufOnbCxsUF0dLTGpOcLFy7EpEmT8PLLL2PEiBFo0KABsrKykJqaipSUFKxZs0bUY8fHx+PQoUPo3bs3GjVqhIKCAnz11VcAUOUFL1TVkh07dqB27dqoWbMmmjZtqq4U2NjYYOzYsfjwww/h6Oio1VWwatSogdmzZ2PWrFmYPHkyRo8ejcLCQmzcuBHZ2dl46623RD03lXnz5iE7OxsDBgyAUqlEjRo1cPHiRfX8vGXPUK5fvz4WLFiAmzdvomXLlvjll1+wY8cOPP/88+qqzODBg5GYmIhXX30V48ePh7e3N+zs7HDr1i38+eef6NevH5588kk0bdoUkydPxscff4z8/HwEBwejTp06uHDhAu7du1fpV/uBgYGws7PDm2++iVdeeQWFhYWIj4+v8Cpe2pg0aRJycnIwb948XLhwQeO25s2bw8XFBb1798bHH3+MNWvWoEuXLrh06RI+/vhjNG3atMKeXBsbG0ycOBETJ05ESUkJ1q9fj9zcXMyYMaPScdSuXRvvvvsu5syZg6ysLDz11FNwdXXF3bt3cfbsWdy9e7dchVmsYcOGYfv27Zg1axaee+453L9/Hxs2bNDrj8F58+ape54nTJiARo0a4ebNm/j111+xYsUKAFC3Hn366acYMWIEbG1t0apVqwofd/jw4di2bRvCwsJw/fp1KJVK/PXXX4iNjUWvXr1EX2wmJycHISEhCA4ORuvWrVG7dm2cPHkSv/76a6XfBqn07t1bPRuDh4cHUlJSsHHjxnJtOM2bN4eDgwMSExPRpk0bODo64rHHHqu01SMzMxObNm1C586dUbt2bVy8eBEbNmxAjRo11LOdqHz33Xe4c+cO2rRpg4KCAhw+fBhxcXEYM2aMuh2irD/++APff/89EhMT1ct8fX2hUCiwaNEiDBw4EFu3bkWTJk10+ubLEJo2bYrXX38dq1atQlpaGp544gnUrVsXGRkZOHnyJGrVqoXXX38dZ8+exeLFizFw4EC0aNECdnZ2OHToEP755x+dZqGYNm0afv75Z4SEhGDatGmoV68eEhMTsX//fsyePbvC9iOVmTNn4pVXXsHEiRPx0ksvobi4GOvXr0etWrWqnQGETIuBl2QnPDwcwKMpeOrWrYs2bdpg0qRJePbZZ8td4ad79+744osvsG7dOrz//vvIzs5G/fr10aZNGwwaNEj0Y7dv3x4HDx5EVFQU0tPT4ejoCKVSiZiYGAQFBVV6v2bNmmHu3LmIi4tDSEgIiouLERERoRFsn376aXz44YcYOnRolQfU0oYMGYJatWrhk08+QWhoqLrqHBcXh86dO4t+fsCjk2f27NmDL774Ardv38aDBw/g7OwMPz8/REZGlqtuuLu7Y968eYiMjMS5c+dQr149TJkyRSPI2djYICYmBnFxcfj666/xySefwMbGBg0bNkSXLl3U4Qd49IHRokUL/O9//1OfiNOyZcsq5w5u06YNoqKisGrVKsyYMQP169dHcHAwJkyYUOUUQpVRhdzp06eXu031uk2ZMgUPHjzAl19+iQ0bNqBt27ZYsGABfvzxR/XJNKWNGzcOBQUFWLJkCTIzM9GuXTvExsaqp4mqzLBhw9C4cWNs2LAB8+fPx7///gsXFxe0b98eI0aMEP3cynr88ccRGRmJTz75BFOnTkWzZs0wbdo0HDhwoMLnoY2ePXvif//7H9auXYslS5agoKAADRs21DgptFu3bpg8eTISEhLwxRdfoKSkBHFxceWmcwMenVgUFxeHjz76CBs2bMC9e/fQoEEDvPTSSxW+RtWpWbMmvL298fXXX+P69esoKipCo0aNMGnSJLzyyitV3vedd96Bra0tPvnkE+Tl5aFDhw6IiorS6GsHHp0w9v777yM6Ohovv/wyHj58iOnTp1f6B46NjQ3Onj2LnTt3IicnB+7u7ujXrx+mTp1a7rhmY2ODr776CleuXEFJSQnatm2LhQsXVnq1tIKCAixYsADTp0/XOBHWxcUF0dHRiIiIwDfffAMPDw+sXbtWsv5dKUyePBlt2rRBXFwcdu/ejcLCQri7u6NTp054/vnnATw6BjVv3hyfffYZbt26BeDRMTcsLEynS1S3bt0an3/+OVauXKk+B6BNmzbljtkV6dGjB9auXYtVq1bhjTfegLu7O55//nkUFBQgOjpa/A4go1EIcvlug8jCqS4XmpSUZJL+OV2MHz8e9+7dQ1JSkqmHQkREpDNWeIkM7PTp07h27RrWrl2Lfv36mU3YJSIishQMvEQGNn36dKSnp8Pf31/vfkwiIiISjy0NRERERGTROC0ZEREREVk0Bl4iIiIismgMvERERERk0XjSWgVKSkpQVFSEGjVqVHs1LCIiIiIyPkEQUFJSAltbW9SoUXUNl4G3AkVFRTh58qSph0FERERE1dDmMuwMvBVQ/ZXg5eUFGxsbE4+GiIiIiMoqLi7GyZMnq63uAgy8FVK1MdjY2DDwEhEREcmYNu2nPGmNiIiIiCwaAy8RERERWTQGXiIiIiKyaAy8RERERGTRGHiJiIiIyKIx8BIRERGRRWPgJSIiIiKLxsBLRERERBaNgZeIiIiILBoDLxERERFZNAZeIiIiIrJoDLxEREREZNEYeImIiIjIojHwEhEREZFFY+AlIiIiIovGwEtEREREFo2Bl4iIiIgsGgMvEREREVk0Bl4iIiIismgMvERERERk0Rh4iYiIiMiiMfASERERkUVj4CUiIiIii8bAS0REREQWjYGXiIiIiCyayQPv7du3MWvWLHTr1g0+Pj4YNmwYTp06pb5dEARERUUhKCgI3t7eGD9+PM6fP6+xjYiICHTt2hW9e/fG7t27NW7bs2cPpkyZYpTnQkRERETyY2vKB8/KysLzzz+Pbt26Yf369XBxcUFaWhrq1q2rXmf9+vXYvHkzli1bhpYtWyImJgYTJ07E3r174eTkhH379iEpKQkbN27ElStXEB4ejsDAQDg7OyM7OxurVq3Cli1bTPckiYiIiMikTFrhXb9+PRo2bIiIiAh4e3ujadOmCAgIQPPmzQE8qu7GxcVhypQpGDBgAJRKJSIjI5Gfn4+kpCQAQGpqKrp27QovLy8EBwfDyckJaWlpAIDly5dj7NixaNy4scmeIxERERGZlkkD7759+9CpUye8/vrrCAgIwPDhw7Fjxw717deuXUN6ejqCgoLUy+zt7dGlSxccO3YMAODp6YlTp04hKysLp06dQn5+Plq0aIGjR48iJSUF48ePN/rzIiIiIiL5MGlLQ1paGuLj4zFx4kRMmTIFJ06cwJIlS2Bvb4/hw4cjPT0dAODq6qpxPzc3N9y4cQMA0LNnTwwdOhSjRo2Cg4MDIiMjUatWLSxcuBARERGIj4/H1q1b4ezsjMWLF6Ndu3ZGf56ku9wCQf3/TjUVJhwJERERmSuTBl5BENCpUye8+eabAIAOHTrgwoULiI+Px/Dhw9XrKRSKcvcrbcaMGZgxY4b656ioKAQEBMDW1hYxMTFITEzEzz//jLCwMOzcudNwT4h0UjrU6roewzARERFVxqQtDe7u7mjTpo3GstatW6urt+7u7gCAjIwMjXUyMzPh5uZW4TZTU1ORmJiImTNn4vDhw/D394eLiwsGDRqElJQU5ObmGuCZkBi5BYLGPym3SURERFSWSQNv586dcenSJY1lly9fRpMmTQAATZs2hbu7Ow4ePKi+vbCwEEeOHIGfn1+57QmCgHnz5iEsLAy1a9dGSUkJioqKAED935KSEkM9HaqGMUKp1EGaiIiIzJ9JA++LL76I48ePY926dbhy5QoSExOxY8cOjB07FsCjVoaQkBDExsbihx9+wLlz5xAeHg4HBwcEBweX296OHTvg6uqKfv36AXgUqA8dOoTk5GRs2bIFbdu21ZjyjAzPlAGUoZeIiIgAE/fwent7Izo6GitXrsTatWvRtGlTzJ07F0OHDlWvM2nSJBQUFGDhwoXIysqCj48PNm3aBCcnJ41tZWRkIDY2FvHx8RrbnzhxIiZPngwXFxdERkYa7blZO7mETdU42ONLRERkvRRC2TPACMXFxUhOToavry9sbGxMPRyzI5ewWxZDLxERkeUQk9dMfmlhshxy752V89iIiIjIcBh4SRIMk0RERCRXDLykF7lXdcsyp7ESERGRNBh4SWfmGh7NddxERESkGwZe0glDIxEREZkLBl4SzRLCriU8ByIiItIOAy+JwqBIRERE5oaBl7RmaWHX0p4PERERVYyBl7TCcEhERETmioGXqsWwS0REROaMgZeqxLBLRERE5o6Bl4iIiIgsGgMvVYrVXSIiIrIEDLxUIWsJu9byPImIiKwZAy8RERERWTQGXirHmqqeTjUVph4CERERGRgDLxERERFZNAZe0mBN1V0iIiKyDgy8RERERGTRGHiJiIiIyKIx8JIa2xmIiIjIEjHwktXiDA1ERETWgYGXiIiIiCwaAy8BYDsDERERWS4GXrJKbGcgIiKyHgy8RERERGTRGHiJiIiIyKIx8JLVYTsDERGRdWHgJSIiIiKLxsBLVoXVXSIiIuvDwEtWg2GXiIjIOjHwEhEREZFFY+Alq8DqLhERkfVi4CWLx7BLRERk3Rh4CQBDIREREVkuBl6yaAzyRERExMBLFothl4iIiAAGXirFkgKiJT0XIiIi0g8DL1kchl0iIiIqjYGXNJh7WDT38RMREZH0GHjJYjDsEhERUUUYeKkccwyO5jhmIiIiMg4GXqqQOQVIcxorERERGR8DL1XKHIKkOYyRiIiITIuBl6ok10DpVFMh27ERERGRvDDwUrXkFizlNh4iIiKSNwZe0opcKqpyGAMRERGZFwZeEsVUgVMugZuIiIjMj62pB0DmRxU8cwsEoz0WERERka4YeElnpcOo1OGXQZeIiIikwsBLkpAi/DLkEhERkSGYtIc3KioKHh4eGv969Oihvl0QBERFRSEoKAje3t4YP348zp8/r7GNiIgIdO3aFb1798bu3bs1btuzZw+mTJlilOdC/1H124r9R0RERGQIJq/wtmvXDps3b1b/bGNjo/7/9evXY/PmzVi2bBlatmyJmJgYTJw4EXv37oWTkxP27duHpKQkbNy4EVeuXEF4eDgCAwPh7OyM7OxsrFq1Clu2bDHBsyIiIiIiuTD5LA02NjZwd3dX/3NxcQHwqLobFxeHKVOmYMCAAVAqlYiMjER+fj6SkpIAAKmpqejatSu8vLwQHBwMJycnpKWlAQCWL1+OsWPHonHjxiZ7bkRERERkeiYPvFeuXEFQUBD69u2L0NBQdWC9du0a0tPTERQUpF7X3t4eXbp0wbFjxwAAnp6eOHXqFLKysnDq1Cnk5+ejRYsWOHr0KFJSUjB+/HiTPCciIiIikg+TtjR4e3sjMjISLVu2RGZmJmJiYjBmzBgkJSUhPT0dAODq6qpxHzc3N9y4cQMA0LNnTwwdOhSjRo2Cg4MDIiMjUatWLSxcuBARERGIj4/H1q1b4ezsjMWLF6Ndu3ZGf45EREREZFomDby9evXS+NnX1xdPPvkkdu3aBR8fHwCAQqF5MpMgaM4AMGPGDMyYMUP9c1RUFAICAmBra4uYmBgkJibi559/RlhYGHbu3GmgZ0JEREREcmXylobSHB0doVQqcfnyZbi7uwMAMjIyNNbJzMyEm5tbhfdPTU1FYmIiZs6cicOHD8Pf3x8uLi4YNGgQUlJSkJuba/DnQERERETyIqvAW1hYiNTUVLi7u6Np06Zwd3fHwYMHNW4/cuQI/Pz8yt1XEATMmzcPYWFhqF27NkpKSlBUVAQA6v+WlJQY54kQERERkWyYtKUhMjISffr0QaNGjXD37l3ExMQgNzcXI0aMgEKhQEhICGJjY9GyZUu0aNECsbGxcHBwQHBwcLlt7dixA66urujXrx8AoHPnzoiKikJycjIOHDiAtm3bom7dusZ+ikRERERkYiYNvLdu3cKbb76J+/fvw9nZGb6+vtixYweaNGkCAJg0aRIKCgqwcOFCZGVlwcfHB5s2bYKTk5PGdjIyMhAbG4v4+Hj1Mm9vb0ycOBGTJ0+Gi4sLIiMjjfrciIiIiEgeFELZs8AIxcXFSE5Ohq+vr8aFMIiIiIhIHsTkNVn18BIRERERSc3klxYmKi23QLcvHJxqKqpfiYiIiKwSAy+ZnK4ht7JtMPwSERFRaXq3NOTm5uLHH39EamqqFOMhK5JbIEgSdivbriG2TUREROZHdIV35syZ6NKlC1544QXk5+fjmWeewfXr1yEIAlauXImnnnrKEOMkC2LMIKp6LFZ9iYiIrJfoCu/Ro0fh7+8PAPjhhx8gCAKOHDmCd955BzExMZIPkCyHKauurPgSERFZL9GBNycnB/Xq1QMA/PrrrxgwYABq1aqF3r1748qVK5IPkCyDXMKmXMZBRERExiM68DZq1AjHjh1DXl4efv31V/To0QMAkJ2dDXt7e8kHSOZNjpVVOY6JiIiIDEd0D29ISAhmz54NR0dHNG7cGN26dQMAHDlyBEqlUvIBkvmSe6jMLRDY20tERGQFRAfecePGwdvbG7du3UJgYCBq1HhUJG7WrBneeOMNqcdHZkruYVeFoZeIiMjy6TQPr5eXF7y8vDSW9e7dW4rxkAUwl7CrwtBLRERk2UQH3uLiYuzcuROHDh1CZmYmSkpKNG6Pi4uTbHBkfswt7BIREZHlEx14ly5dioSEBPTq1Qvt2rWDQsHKGD1izmGXVV4iIiLLJTrw7t69G6tWrUKvXr0MMR4yQ+YcdEtj6CUiIrJMoqcls7OzQ/PmzQ0xFjJDlhJ2iYiIyHKJDrwvvfQS4uLiIAgMOtbOEsOuJT4nIiIiaye6peGvv/7Cn3/+iQMHDqBdu3awtdXcRHR0tGSDIyIiIiLSl+jAW7duXTz55JOGGAuZEVZCiYiIyFyIDrwRERGGGAeZEUsPuzx5jYiIyLLodOEJALh79y4uXrwIhUKBVq1awcXFRcpxkUxZetglIiIiyyM68Obl5WHx4sX4+uuv1RedsLGxwbBhw/Dee++hVq1akg+S5IFhl4iIiMyR6Fkali1bhiNHjiAmJgZHjx7F0aNH8fHHH+PIkSNYtmyZIcZIMmBtYdfani8REZElEx14v/vuOyxduhS9evWCk5MTnJyc0KtXLyxevBjfffedIcZIJsbwR0REROZMdODNz8+Hm5tbueWurq7Iz8+XZFBERERERFIRHXh9fX2xZs0aFBQUqJfl5+cjOjoavr6+Uo6NZIDVXSIiIjJ3ok9ae+edd/DKK6/giSeegKenJxQKBc6cOYOaNWti48aNhhgjmQjDLhEREVkC0YFXqVTi+++/xzfffIOLFy9CEAQMHjwYQ4YMgYODgyHGSCbAsEtERESWQqd5eB0cHPDcc89JPRYiIiIiIslpFXh/+uknPPHEE7Czs8NPP/1U5br9+vWTZGBkOqzuEhERkSXRKvBOmzYNBw8ehKurK6ZNm1bpeqp+XjJfDLtERERkabQKvGfPnq3w/8myMOwSERGRJRI9LdmuXbtQWFhYbnlhYSF27dolxZjIyuQVFlX5j4iIiEgfogNveHg4cnJyyi3/999/ER4eLsmgyPiMXd0VE2gZfImIiEgfogOvIAhQKBTllt++fRt16tSRZFBkXMYMu/qEV4ZeIiIi0oXW05INHz4cCoUCCoUCL774Imxt/7trcXExrl27hp49expkkGT+pAqreYVFcLTXaTY9IiIislJaJ4f+/fsDAM6cOYOgoCDUrl1bfZudnR2aNGmCAQMGSD9CMihjVHelrswy9BJZLl2OSU41y3/rSERUmtapYfr06QCAJk2aYPDgwbC3tzfYoMg4DB12zbkFgR+gRIYn1TGoou3wd5iIShPdw9umTZsK59o9fvw4Tp48KcmgyPDMPeyac5gmsma5BYL6nzEeh4gI0CHwLlq0CDdv3iy3/Pbt21i0aJEkgyLzxjBKRKUZK+RW9dhEZN1EN0KmpqaiY8eO5Za3b98eFy5ckGRQZFiGOvgbO+iyl5dIvuQWMlXjYasDkXUSXeG1t7dHRkZGueXp6ekaMzeQPFlK2CUieZJ7RVXOYyMiwxEdeAMDA7Fy5UqNi09kZ2fjo48+QmBgoKSDI2kx7BKRocg96JZmTmMlImmILsnOmTMH48aNQ58+fdC+fXsAwNmzZ+Hq6ooPPvhA8gGSNCw17LKtgci0zDk45hYIbHEgshKik0KDBg3wzTffIDExEWfPnoWDgwOeeeYZDB48GHZ2doYYI8mQqYMuEZmWOQddIrI+OpXGHB0dMXr0aKnHQgYi9QcTwy6R9bK0oMsqL5F10CnwXrp0CYcPH0ZmZiZKSko0blNdoILkwRrCLtsaiIzD0sKuCkMvkeUTnRJ27NiBBQsWwNnZGW5ublAo/jtIKBQKBl4ZsYawS0SGZ6lBtzSGXiLLJjrwxsTE4I033sCrr75qiPGQRKT8gGLQJbJe1hB2icjyiZ6WLCsrC4MGDTLEWEgi1hh2zWWcRObCGqfusrbnS2RNRAfegQMH4rfffjPEWEhmGCKJrBODHxFZGtGBt0WLFli9ejXmzJmDTZs2IS4uTuOfrmJjY+Hh4YGlS5eqlwmCgKioKAQFBcHb2xvjx4/H+fPnNe4XERGBrl27onfv3ti9e7fGbXv27MGUKVN0HpM5kuqDyprDLvv4yJox7BKRJRLdw7t9+3Y4Ojri8OHDOHz4sMZtCoUCISEhogdx4sQJbN++HR4eHhrL169fj82bN2PZsmVo2bIlYmJiMHHiROzduxdOTk7Yt28fkpKSsHHjRly5cgXh4eEIDAyEs7MzsrOzsWrVKmzZskX0eMyVtYddztZApDsG3Ud48hqRZRKdDvbt2yfpAP7991/Mnj0bS5YsQUxMjHq5IAiIi4vDlClTMGDAAABAZGQkAgMDkZSUhDFjxiA1NRVdu3aFl5cXvLy88P777yMtLQ3Ozs5Yvnw5xo4di8aNG0s6Xrmy9rBLRLpj2CUiSye6pUFqixYtQq9evRAYGKix/Nq1a0hPT0dQUJB6mb29Pbp06YJjx44BADw9PXHq1ClkZWXh1KlTyM/PR4sWLXD06FGkpKRg/PjxRn0upiLFh1VeYRHDLpEVYtglImsgusIbHh5e5e0RERFab2v37t04ffo0vvzyy3K3paenAwBcXV01lru5ueHGjRsAgJ49e2Lo0KEYNWoUHBwcEBkZiVq1amHhwoWIiIhAfHw8tm7dCmdnZyxevBjt2rXTemzmQqqwS0TWh2GXiKyF6MCbnZ2t8XNRURHOnz+P7OxsdO/eXevt3Lx5E0uXLsWmTZtQs2bNStcrfWEL4FGrQ2kzZszAjBkz1D9HRUUhICAAtra2iImJQWJiIn7++WeEhYVh586dWo/PWlha2GUfL5F2GHaJyJqITgZr164tt6ykpAQLFixAs2bNtN5OSkoKMjMzMXLkSPWy4uJiHDlyBNu2bcPevXsBABkZGXjsscfU62RmZsLNza3CbaampiIxMREJCQn46quv4O/vDxcXFwwaNAhz585Fbm4unJyctB6j3On7gWVpYZeItGPKsCvmuMM/XolIKpIcTWrUqIEJEyYgJCQEkyZN0uo+3bt3R2Jiosay8PBwtG7dGpMmTUKzZs3g7u6OgwcPokOHDgCAwsJCHDlyBLNmzSq3PUEQMG/ePISFhaF27dooKSlBUdGjA6vqvyUlJfo8TVkxh7Cbm19cbpmTg43BH5eIKmeKsKvr8UZ1PwZfItKXZEeRtLQ0dbDUhpOTE5RKpcYyR0dH1K9fX708JCQEsbGxaNmyJVq0aIHY2Fg4ODggODi43PZ27NgBV1dX9OvXDwDQuXNnREVFITk5GQcOHEDbtm1Rt25dPZ6hfMg17FYUcKtbR44BmNMSkaUydtiV6ljDViUi0pfoI0jZk9IEQUB6ejr279+PESNGSDYwAJg0aRIKCgqwcOFCZGVlwcfHB5s2bSrXlpCRkYHY2FjEx8erl3l7e2PixImYPHkyXFxcEBkZKenYzJXUYVebkFvd/aUOvfxwJCrPmGHXEH9U8/eaiPShEMqeBVaNslN91ahRAy4uLujevTueeeYZ2Nqa/wGpuLgYycnJ8PX1hY2NvCqQ+nxoSfkhpG/QrYiUwVffD0ZWeMmSGCvsGqNVyhihl7//ROZBTF7T+shRUlKCGjVqYOvWrXoPkHQjh7OqDRF0S29bji0ORObMGMcNY54Ay0ovEelC6wtPdOzYEZmZmeqfIyMjcf/+fUOMiSogh75dQ4ZdYz4GkbWwtLBLRKQrrQNv2c6H7du3IycnR/IBkfT0/UDKzS9mECUyMwy7RET/0fnSwiJbf0kPpuzbNUXQZbgmkjdeipyIzI3OgZeMw9rCrhwem8jcGbK6y6BLROZIVOf/6tWrUatWLQDAw4cPERMTgzp16misEx4eLt3oyGQYOInME8OufjhDA5Fl0jrwdunSBZcuXVL/7Ofnh7S0NI11FAoeKKRkququJYRdnslNJC1rCLtEZLm0TgScjsx8WErY5TRlROLIYepCIiI5Yg+vTJnig0tOYZeIxGErg/7YzkBkuRh4LYyuH0wMu0RUEWsJu0Rk2Rh4ZUjXSg3DLpF1MlR1l2GXiCwFz+ohveXkP6z0tjoOdkYcCRFZOkOdjMp2BiLLxgqvzJhTdTcn/2GVYVe1jj5YfSaqGqu7RETV0ynwHj16FLNmzcLo0aNx+/ZtAMCuXbtw9OhRSQdHhqVrmNQm6JZdn4hIX6zuEpGuRAfe7777Di+//DIcHBxw+vRpFBYWAgD+/fdfxMbGSj5Aa2Ls6q4xMfQSSY/VXSIi7YgOvDExMVi4cCGWLFkCW9v//tru3LkzTp8+LengyHD0qe4SERkbq7tEpA/RgffSpUvw9/cvt9zJyQnZ2dmSDIrkyZrCLifwJ7mzpvcor5pIRPoSHXjd3d1x9erVcsv/+usvNGvWTJJBWSO5tzNYU9glIvkwZNhldZfIeogOvKNHj8bSpUtx/PhxKBQK3L59G9988w0iIyMxduxYQ4yRJGZOMx/w0sJExmUt/bsMu0TWRfSfzpMmTUJubi5CQkJQUFCAF154Afb29njppZfwwgsvGGKMRERUirW0M7CVgYikotPRJDQ0FFOmTMGFCxcgCALatGmD2rVrSz02qyH3dgYiImNjKwMRSUnnI0qtWrXg5eUl5ViIZCW3QOAHI5EJMOwSkdS0OqpMnz5d6w1GR0frPBgyPFP17/ISw0TmwdHe1mTfHhm6hYFhl8h6aXV0qVOnjqHHQUREVoz9ukRkSFodYSIiIgw9DqtlDSefmHN1l20NRIZnjLDL32Mi66bzUSYzMxOXLl0CALRq1Qqurq6SDYqqZy4nrOkTdjklGVF5xvgj2VhtDcaq6jLsEpHoo01ubi4WLlyIPXv2oLj4UT+ojY0NBg0ahPnz57P9wULVcbDjxSeISDIMu0RkTKIvPPHOO+/gxIkTWLduHY4ePYqjR49i3bp1OHXqFN59911DjJFkQky1to6DnVm3MpRmDW0nRGUZKpA62tsy7BKR0Yk+6vzyyy/YsGED/P391ct69uyJJUuW4JVXXpF0cCQ9JwcbvWZqUIXYyqq9cgq5eYVFPBGGSA9StTaY4veQYZeIShN9FKpfv36FbQtOTk6oW7euJIMi+TN0sJVb/y5PXiNrVTqsigm/pvxjk7+rRFSW6JaG1157DcuWLcOdO3fUy9LT07F8+XJMnTpV0sEREZF8qNoRtPlnKgy7RFQRrY5Kw4cPh0Lx30Hk8uXL6Nu3Lxo1agQAuHnzJuzs7HD37l2MGTPGMCMlMjFWeUkOnGoq2FdeCf5+ElFltAq8/fv3N/Q4SCR9euv07eM1J+zjJbIODLtEVBXJLy1MpC+59e8Skbwx7BJRdUT38JJlYKjUDb9KJpIXhl0i0obo73qLi4uxZcsWfPvtt7h58yYePtScnurw4cOSDY4My1paG9jWQGR5GHSJSAzRFd7o6Ghs3rwZgwYNQk5ODiZMmIAnn3wSCoWCrQ9kFVjlJVOz9rBn7c+fiMQTXfZKTEzEkiVL0Lt3b0RHRyM4OBjNmzeHh4cHjh8/bogxUiWkmBSeVV4iMicMu0SkC9EV3oyMDCiVSgBA7dq1kZOTAwDo06cP9u/fL+ngyDjYz0tkfqwt+DnVVFjdcyYi6YgOvA0aNEB6ejoAoHnz5jh48CAA4OTJk7C3t5d2dGQ01hB6pbhEqgrbGoiMh0GXiPQlOvA++eST+OOPPwAAISEhWL16NQYMGIC3334bzzzzjOQDtHT6Hsil/JreGkIvkSWx9CDIqi4RSUV0Wpo1a5b6/wcOHIhGjRrh77//RvPmzdGvXz9JB0fGpwq9ltrXy15eIvPAoEtEUtL7k9/Hxwc+Pj5SjIV0JMXJa2VZy8ls+uClhkkOLO1Sw/ydIiJDEN3S0L59e4wfPx7379/XWJ6RkYH27dtLNS4SyRBVS1O1OBg6aEv9xwGRqVlCSGT7AhEZkujAKwgCHj58iGeeeQbnzp0rdxuJJ+eDvJODDXt7icyAnI8jVWHQJSJjEB14FQoF1qxZgz59+mDMmDH48ccfNW4j0zFkb6qxQy/bKYjEM6fgyKBLRMakU4XXxsYG7777LsLCwhAaGoqPP/6Y1V0rYOxqryFDr1RtDZbUO0mWQe5BUu7jIyLLpFdJcPTo0WjZsiVef/11HDlyRKoxWSWpTjwxxAlsZRnzhLbc/GK2VBDpQG4nszHkEpEpia7wNm7cGDVq/He3bt26YceOHbh165akAyPdGWPaLUsIoTx5jSydqaupqsdn2CUiUxOdjPbt21duWYsWLbBr1y5kZGRIMihrJWVFxhiVXmNhlZdIP6UDpyGrvgy2RCRXkpUCa9asiSZNmki1OTIDbG0gMj9Shl8GXCIyF1oF3q5du2Lv3r1wcXFBly5dqpyN4fDhw1o/+GeffYb4+Hhcv34dANCuXTtMnToVvXr1AvDoBLno6Ghs374d2dnZ8PHxwbx589CuXTv1NiIiIpCQkABHR0fMnj0bgwcPVt+2Z88efPPNN1i3bp3WYzI1Vnkrx9BLJC0GViKyFloF3vDwcDg5OQEA5s6dK9mDN2zYELNmzULz5s0BALt27cK0adOQkJCAdu3aYf369di8eTOWLVuGli1bIiYmBhMnTsTevXvh5OSEffv2ISkpCRs3bsSVK1cQHh6OwMBAODs7Izs7G6tWrcKWLVskG685YuitGi81TEREZPm0+qQfMWJEhf+vr759+2r8HBoaivj4eCQnJ6Nt27aIi4vDlClTMGDAAABAZGQkAgMDkZSUhDFjxiA1NRVdu3aFl5cXvLy88P777yMtLQ3Ozs5Yvnw5xo4di8aNG0s2XmOR29nVcsNKLxEREYmh1SwNubm5Wv/TVXFxMXbv3o28vDz4+fnh2rVrSE9PR1BQkHode3t7dOnSBceOHQMAeHp64tSpU8jKysKpU6eQn5+PFi1a4OjRo0hJScH48eN1Ho8lYQWTiIiIrJlWScjf37/aq6gJggCFQoEzZ86IGsA///yDMWPGoKCgAI6Ojli7di3atm2Lv//+GwDg6uqqsb6bmxtu3LgBAOjZsyeGDh2KUaNGwcHBAZGRkahVqxYWLlyIiIgIxMfHY+vWrXB2dsbixYs1en/ljlXeqrHKS0RERNrSKvDGxcUZbACtWrXCrl27kJ2dje+//x5hYWH43//+p769bNAue0W3GTNmYMaMGeqfo6KiEBAQAFtbW8TExCAxMRE///wzwsLCsHPnToM9D7mztF5eIiIiIm1pPUuDodjb26NFixYAAC8vL5w8eRJxcXGYNGkSACAjIwOPPfaYev3MzEy4ublVuK3U1FQkJiYiISEBX331Ffz9/eHi4oJBgwZh7ty5yM3NVZ98Zw7kXuU11pRkVT0+q7xERERUHZ2bOx88eIAbN27g4cOHGss9PT31GpAgCCgsLETTpk3h7u6OgwcPokOHDgCAwsJCHDlyBLNmzarwfvPmzUNYWBhq166NkpISFBU9qmiq/ltSUqLX2IiIiIjI/IgOvHfv3kV4eDgOHDhQ4e1ienhXrlyJJ554Ag0bNsS///6LPXv24PDhw9iwYQMUCgVCQkIQGxuLli1bokWLFoiNjYWDgwOCg4PLbWvHjh1wdXVFv379AACdO3dGVFQUkpOTceDAAbRt2xZ169YV+3RNTq7z8pq6uqvCKi8RERFVR3TgXbp0KbKysrB9+3a8+OKLiI6ORkZGBmJiYjBnzhxR28rIyMDbb7+NO3fuoE6dOvDw8MCGDRvQo0cPAMCkSZNQUFCAhQsXIisrCz4+Pti0aVO5toSMjAzExsYiPj5evczb2xsTJ07E5MmT4eLigsjISLFPlYiIiIgsgEIoexZYNYKCgvDxxx/D29sbnTt3xldffYVWrVrhp59+woYNGzRCp7kqLi5GcnIyfH19YWMjj+qhVFVeKSq8cqnuquhb4dV32jZerYqIiMj4xOQ1rebhLS0vLw8uLi4AgPr16+Pu3bsAAKVSidOnT+swXCLzxbBLREQkf6IDb6tWrXDp0iUAj05Q2759O27fvo3PP/8c7u7ukg+Q5EVu1V1AnmMiIiIi+RD9Xe6LL76I9PR0AMD06dPx8ssvIzExEXZ2dli2bJnkAyQiIiIi0ofowDt06FD1/3fo0AH79u3DxYsX0ahRI3WrA0lPitka9O3fZSWViIiIzJF+Z+sAqFWrFjp27CjFWIiIiIiIJKdV4I2IiMDMmTPh6OiIiIiIKtcNDw+XZGAkL6zulscT1oiIiMyDVoH39OnT6quVVTUTg0LBACBXUl1wQl85+f9dma+Og50JR0JERETWQqvAu3Xr1gr/n4xHqnl4dXpsPau7pUNuZctNFX71nYOXiIiI5E/0tGQ5OTm4f/9+ueX3799Hbm6uFGMiGdEn7ObkP6w07Fa0LhEREZEhiA68oaGh2L17d7nl3377LUJDQyUZFEnLFO0MugRYhl4iIiIyBNGB98SJE+jevXu55V27dsWJEyckGRTJgy7VXTFV3crubw54whoREZH5EB14CwsL1SewlVZUVIT8/HxJBkWa9Onf1bW6q2vYJSIiIpIb0YHXy8sLO3bsKLf8888/53y8VkzKsMvgTERERFISfYr6G2+8gYkTJ+Ls2bMICAgAAPzxxx84efIkNm3aJPkASXfGqO6aczjlDA1ERETWQXSF9/HHH8f27dvRsGFDfPvtt9i3bx+aN2+Ob775Bv7+/oYYo1Uz9nRk1hJ29cH+XSIiIvOiU4mrffv2WLFihdRjIQnpUt2VU9jNyX/IC1MQERGRJERXeAHg6tWr+Oijj/DWW28hMzMTAHDgwAGcP39e0sGRPFlrZZeIiIjMk+jAe/jwYQwZMgQnTpzAd999h7y8PADAP//8g6ioKMkHaM10bWcwZHWXYZeIiIjMjejAu2LFCrzxxhvYvHkz7Oz++8q5W7duOHbsmKSDI+OwxrCr6wlr7N8lIiIyP6ID77lz59C/f/9yy11cXCq85DDpxpjVXW2YIuxaUsAmIiIi0xFd5qpTpw7S09PRrFkzjeVnzpxBgwYNJBsYiWeoVga5B08nBxtTD4GIyKpoU5ThN2IkJ6IrvMHBwfjwww+Rnp4OhUKBkpIS/PXXX4iMjMTw4cMNMETrY6ypyCwh7BIRkWHlFgjl/hnyfkSGIDrwhoaGolGjRnjiiSeQl5eHwYMH44UXXoCfnx9ee+01Q4yRtCC2usuwS0RElTFUSGXwJVMR3dJgZ2eHFStWYObMmTh9+jRKSkrQoUMHtGzZ0gDDsz48EBARkakY7RvG/38ctj2Qseh8bdXmzZur+3gVCr5hTYnVXXE4QwMR0X9MWWhh8CVj0enCE1988QWCg4Ph5eUFLy8vBAcH44svvpB6bFbHGAcdaw+7RET0iJzaC+QyDrJcoktdq1atwqeffooXXngBvr6+AIDk5GS8//77uHbtGkJDQ6UeI1VB6mnI5BZ2eYlhIiLpyTFg5hYIrPSSwYgOvPHx8Vi8eDGCg4PVy/r16wcPDw8sXryYgVdHuhx8pG5lkFvYJSIiackx6JbG0EuGIjrwlpSUoFOnTuWWd+zYEcXF2l2xi4yPYZeIyLrJPeyqMPRWTd/X0Vr3rege3qFDhyI+Pr7c8h07dmDIkCGSDMraGKO6S0RE1klOvbraMrfxGpLUcxlb67zIOp2u/uWXX+LgwYPw8fEBABw/fhw3b97E8OHDERERoV4vPDxcmlGSXoxR3b2XV/E2nB3Zf0tEZCrWFmosBaeHk57owHvu3Dl06NABAHD16lUAgLOzM5ydnXHu3Dn1epyqTDuGru4aMuxWFnIrWofBl4jIuMw97Fpja4OpXjNrCL6iA+/WrVsNMQ4yAV3DrjZBt6L7MPQSERmHuYddayOX18uS/8jQaR7e0q5fv44LFy6gpKREivFQNaSs7upCl7ArxX3lQC4HJCKiqljSscqSnktF5NhLK7fxSEXrwJuQkIAtW7ZoLHvvvffQv39/DBkyBMHBwbh586bU47NopnxT6VLdlSKw6rINziBBRKQdSw0rlkjOr5Wcx6YrrQPv559/jjp16qh/PnDgAHbu3InIyEh8+eWXqFu3LqKjow0ySHpEququ2AB5L++h2VdniYgsnSWGFEskx6puRcxhjGJoHXgvX76sMf/uTz/9hL59+2Lo0KHo2LEjQkND8ccffxhkkJbIXN5Ihgi6DM9ERNIyl88UXVjSczO352Ju462K1oE3Pz8fTk5O6p+PHTsGf39/9c/NmjVDRkaGtKMjNVNUd80lmBqiV7nSx7KgX34iIjIefn6YltaBt3HjxkhJSQEA3L17FxcuXMDjjz+uvj0jI0Oj5YEqZ8g3vVThz9Bh15RhmhftICJLwiAlf+b8Gpnz2EvTelqy4cOHY9GiRTh//jwOHTqE1q1ba7Q4/P3332jXrp1BBmntpApoPPlLGpY8bQsRmRdLCSOWiq+PfGgdeCdNmoQHDx7ghx9+gJubG1avXq1x+99//43BgwdLPkDSnrm1MnBuXiIislSWFHYtodCjEATBcl4RiRQXFyM5ORm+vr6wsbGRdNuGvLKaFIHX2K0GYgJvHYfK13VyEPc6OdrrdFVtzcc0819+IjJvlhSoqmNux1tLfG3k+BqIyWt6X3iCDEuKdga5hl1TYh8vERGR9sw9xDPwWghjzlQgJalCtimev7n/8hOR+eLxR7742sgTA68Rif0lYHVX/nhgIyIiFX4myJdWgTc3N9fQ4yA9mGt1VyypZ5mQqq2BBzgiMiYec+SJr4u8aRV4u3TpgszMTABASEgIsrOzDTooMi5TV3dN/fhERCRfcjxZqiyGXfnTKvA6Ojri/v37AIDDhw+jqIgn/Igl13YGSwqbulS6WeUlInPCYw2RbrSamykwMBAhISFo3bo1AGDatGmws6t4iqi4uDjpRkfVspZ2BnNgCfMUEhGROPwjxDxoFXiXL1+OhIQEXL16FUeOHEG7du3g4OBg6LGRHox1VbWbeQ8AAI0ca+m1HW0vQpGT/7DK+Xh1kVdYJMm8vABDLxERkRxp9Snv4OCA559/HgBw6tQpzJo1C3Xr1tX7wWNjY/H999/j4sWLcHBwgJ+fH2bNmqWuJAOAIAiIjo7G9u3bkZ2dDR8fH8ybN0/jMsYRERFISEiAo6MjZs+erXHFtz179uCbb77BunXr9B6vruT615+u7QyqkFvZMn3Drz5y84tFX4SCiIjkSe4FBLl+vlN5oqcl27p1qzrsCoIAfS7UdvjwYYwbNw47duzA5s2bUVxcjJdffhl5eXnqddavX4/Nmzdj3rx5+PLLL+Hm5oaJEyeqZ47Yt28fkpKSsHHjRsyaNQvh4eG4d+8eACA7OxurVq3CvHnzdB6jKUhxZTVDqSjs6rKO3Eh5IQoeAImIiORFp3l4d+3ahSFDhsDb2xve3t4YMmQIdu3aJXo7GzduxMiRI9GuXTt4enoiIiICN27cQEpKCoBHgTouLg5TpkzBgAEDoFQqERkZifz8fCQlJQEAUlNT0bVrV3h5eSE4OBhOTk5IS0sD8KgVY+zYsWjcuLEuT9Oiia3u3sx7ICrI6hJ6tR1Tde0auv4hwNBLRHJmbccVVndJSqID7+bNm7FgwQI88cQTWLVqFT766CP07NkTCxYswJYtW/QaTE5ODgCgXr16AIBr164hPT0dQUFB6nXs7e3RpUsXHDt2DADg6emJU6dOISsrC6dOnUJ+fj5atGiBo0ePIiUlBePHj9drTObIWP271THHSq+UeDAkIiKSB9Fn6mzduhULFizA8OHD1cv69++Pdu3aISoqChMmTNBpIIIgICIiAo8//jiUSiUAID09HQDg6uqqsa6bmxtu3LgBAOjZsyeGDh2KUaNGwcHBAZGRkahVqxYWLlyIiIgIxMfHY+vWrXB2dsbixYs1en9JO3IMrtWdvKZrL6+UJ7ABPImNiEgXPG7Kj7m/JqI/2dPT0+Hn51duuZ+fnzqg6mLRokU4d+4cPvvss3K3KRSaO7ls3/CMGTMwY8YM9c9RUVEICAiAra0tYmJikJiYiJ9//hlhYWHYuXOnzmPUhaHm39Wnf1dMO4O+Yfdm3gNRJ7FpO1uDITH0EhFRVfgNnvkR3dLQokULfPvtt+WW79mzBy1bttRpEIsXL8a+ffvw6aefomHDhurl7u7uAICMjAyN9TMzM+Hm5lbhtlJTU5GYmIiZM2fi8OHD8Pf3h4uLCwYNGoSUlBSLv0yyXNoZ5EBOcxTz4EhEpB0WCMgQRJexZsyYgdDQUBw5cgSdO3eGQqHAX3/9hUOHDmHVqlWitiUIAhYvXowffvgBW7duRbNmzTRub9q0Kdzd3XHw4EF06NABAFBYWIgjR45g1qxZFW5v3rx5CAsLQ+3atVFSUqK+KpzqvyUlJWKfstWSqpVBbJVXW4aYk1dF6iovwEovEVF1eIyUJ0t4XUR/oj/11FPYsWMHtmzZgp9++gmCIKBNmzb44osv1KFUWwsXLkRSUhI+/vhj1K5dW90SUadOHTg4OEChUCAkJASxsbFo2bIlWrRogdjYWDg4OCA4OLjc9nbs2AFXV1f069cPANC5c2dERUUhOTkZBw4cQNu2bSWZP5jEExN6pWxr0GdeXoZeIiIiy6AQ9JlIV08eHh4VLo+IiMDIkSMBaF54IisrS33hCdWJbSoZGRl47rnnEB8fjwYNGqiXR0dHY+vWrXBxcUFkZCS8vb2rHVdxcTGSk5Ph6+sLGxv9LmJg7B7e6loatO3fNcSJamKqvGICb3VVXn0uRCF14FVh6CUiXVhye5Q5HRct+XUoS86vi5i8ZtLAK1dSBV5TnLBmKYEX0D70atPWwNBLRJbAUoOWOR0PLfU1qIycXxsxeU2nC08Q6UKO05uZkrUdNImIKiLnQGXtLOm1MUzpikzCWmdo0ObkNbn18qqoQq8lHVTI8PT9Y4nvN5ILvhfJWFjhpXIMWYkVs22xlz82JCkvO1yR3AKBFV+qlOr9IdX7RMptkXFZUkC0pOdiiSzt9WHgJYugTXVbTvPyVoYhhEozxvuB7zkyBUsLUyR/or+nzcvLwyeffIJDhw4hMzOz3Ly2P/30k2SDI2nJpWJqqHl5Dc2QrQ1llQ0g/HCwHqYKn2yvMR9ONRVm/UeKub/HzH3/a8PcX6OKiP70fvfdd3H48GEMGzYM7u7u5S77SyQlMXPyGrqXFzBu6C2NAdjyyeUDlHNFkyHxvSV/lvoaif7kPnDgAGJjY/H4448bYjxEpIXKwpGlHqgsnVzCrgqrvfJnblVGvpfMgyW/TqJ7eOvWrYv69esbYCiWxZwORKUZa+owc56izNAnsOmj7MlN5vo+tBZ8jUgf5hJOzGWcZNlEB96ZM2di9erVePDAfAMLmRcxvcfGOnlNzqG3LAZgeTKH18Icxmjt5BwmnWoqZD0+0mTpr5XolobNmzfj6tWrCAwMRNOmTWFrq7mJhIQEyQZHRNIrHWIs/QAnR+YWItnTK39ybG+w9PeMHPe5Piz99QJ0CLz9+/c3xDiIjErfk9cA053AJiX2ahqXuX5AMvTKn1wCGN8n5sdaXjPRn9bTp083xDisnrZfkZvDXLLaEjM9mdSzNUjFEkIvwKqvMcghjJBlU/3umuK9Zo3HDbn8kaEra3vNdP6kPnXqFFJTU6FQKNC2bVt06NBBynERmQ1LCb0qrOZJz5w/FFX4vjAfxgq+fD+YL2t87UR/SmdmZiI0NBSHDx9G3bp1IQgCcnJy0K1bN3z00UdwcXExxDiJJCdFW4OKJYZewDoPilKzhLBL5skQwZfHBE3mWOW11tdQ9CwNixcvRm5uLnbv3o3Dhw/jyJEjSEpKQm5uLpYsWWKIMRKZBXOauUFb5nYglxvuP5ID1WwJpf8Z8n7Wxpz2izmNVWqiS1K//vorNm/ejDZt2qiXtW3bFvPnz8dLL70k6eCIdGXMPt7SVKGX1V6yxLDLtgbLwddRWnKv9PL11qHCW1JSAju78kHC1tYWJSUlkgyKyFgMdRJgXmGRxVV85XwwlxvuKyLrI8dQycr8f0QH3u7du2Pp0qW4ffu2etnt27cRERGBgIAASQdH5UnVc0rGYWnBl0GuetxHRNZLTuFSTmORA9Hfu86bNw9Tp05Fv3790LBhQygUCty8eRNKpRLLly83xBjJiBo51pLtZX/FTE0mN2VDrzm3PPBrbSKiynF6OHkS/anbqFEjJCQk4ODBg7h48SIEQUDbtm0RGBhoiPERGZyUszVoq7KqrzkHYWJ1l4j+Y8y+Xgbd6un86dqjRw/06NFDyrFYNUd7W4v66pt0U9V7QE5hmFXe8hh2iais0sdJqY8RPAaLo9UnaFxcHEaPHo2aNWsiLi6uynVDQkIkGRhJz9nRDvfyHpp6GEYjZqYGU1R5xaooDJsyBDP0EhFpr+zxUmwA5vFWP1p9Wm7ZsgVDhgxBzZo1sWXLlkrXUygUDLxERlQ6BMupAmxtWN0lIrEYYI1Lq0/Iffv2Vfj/ZJnkfOKaIZlDlbcqpgi/rPISEZE5ED0tWXR0NB48KB+G8vPzER0dLcmgiEg/ljYdmpyxuktEJH+iA+/atWuRl5dXbvmDBw+wdu1aSQZFujHFlcX00cixlqmHUI6hLkRhKsYIvgx8REQkd6IDryAIUCjKf4V59uxZ1KtXT5JBEZmSpYVeoOrZH0h3DPtEROZB60a/Ll26QKFQQKFQ4KmnntIIvcXFxcjLy8OYMWMMMkiSjrYzNVhKH6+YmRosXV5hkcF6e9nLS0REcqb1p9/cuXMhCALmzp2LGTNmoE6dOurb7Ozs0KRJE/j5+RlkkETGZu4nsFXGkKGXLB//qCEic6X1J9+IESNQVPToa9HAwEA0bNjQYIOyBMa8wgoZhqq1wdKCL0OvNPj7TURkPkT18Nra2mLhwoUoLra8HkdzYqwAJseTykyBPb1ERETmTfRJa97e3jhz5owhxkJkEDn5+l9dLje/2OKCL0MvicF2BiIyZ6K/1xw7diyWLVuGW7duoWPHjqhVS7MK6OnpKdngiOSmdOi1tFYHffHENSIikivRgTc0NBQAsGTJEvUyhUKhnq6M1V/TquNgV21FU9uZGgDDzdZgCe0SFVV8zS0Es5+XtME/ZIjI3In+pPvpp58MMQ7Co8vB8mtmwzDW9GTVtT2YWyAmIiKyBKIDb5MmTQwxDrIyN/MeGL3KK4c5eSsLxAzCJFes7hKRJdDpu8yrV6/i008/RWpqKhQKBdq0aYOQkBA0b95c6vERWQVT9gazrYGIiCyd6Fkafv31Vzz99NM4ceIEPDw80K5dOxw/fhyDBw/GwYMHDTFGIjVte48rI8WMDYammhHC0maFIPPD6i4RWQrRZZ0VK1ZgwoQJmDVrlsbyDz/8EB9++CF69Ogh2eCIDEEOrQ3astQrvpH8MewSkSURXeFNTU3FqFGjyi1/5plncOHCBUkGRdVjCNKPOVR6VVjtJWNj2CUiSyM68Lq4uFQ49diZM2fg6uoqyaDIOug63Zm+bQ0q5hR6iYiISHeiWxqeffZZzJs3D2lpaejcuTMA4O+//8b69esxceJEyQdIZEhsb5AOq4KWga8jEVki0YF32rRpcHJywqZNm7By5UoAwGOPPYbp06cjJCRE8gGSZdN1erJ7eQ/h7ChNUFVVes0h+Mo99FoTp5oK5BYIph6GpBh2ichSiQ68CoUCEyZMwIQJE5CbmwsAcHJyknxglsASPxANQQ6hFzCv4EskNYZdIrJkont4VTIzM3H27FmcPXsWd+/elXJMJCOGuKyw3LG3l7RlKSHRUp4HEVFlRFd4c3NzsXDhQuzevRslJSUAABsbGwwaNAjz589HnTp1JB8kWT65VHlVWO0la8GwS0TWQHSF95133sGJEycQGxuLo0eP4ujRo1i3bh1OnTqFd9991xBjJCth6lkbKpKT/1D9z1JJcZU1aw5N5vrcnWoqzHbsRERiiQ68v/zyC5YuXYqePXvCyckJTk5O6NmzJ5YsWYJffvnFEGMkEzFFO4McQ6+KJYdesi4MukRkbUQH3vr161fYtuDk5IS6detKMiiybnIPvQy+VJY5BUhzGisRkVREB97XXnsNy5Ytw507d9TL0tPTsXz5ckydOlXSwZH1knPoBSyn2st2BunIfT+whYGIrJnoT7v4+HhcuXIFffv2RaNGjQAAN2/ehJ2dHe7evYvt27er101ISJBupCQZbUKhHGZnkNuJbGWZ4sQ2zsErb3KdipBBl4isnejA279/f8ke/MiRI9i4cSNOnTqF9PR0rF27VmP7giAgOjoa27dvR3Z2Nnx8fDBv3jy0a9dOvU5ERAQSEhLg6OiI2bNnY/Dgwerb9uzZg2+++Qbr1q2TbMxkXHIPveaM1V3DkFPo5etDRPSI6E+86dOnS/bgeXl58PDwwMiRIzFjxoxyt69fvx6bN2/GsmXL0LJlS8TExGDixInYu3cvnJycsG/fPiQlJWHjxo24cuUKwsPDERgYCGdnZ2RnZ2PVqlXYsmWLZOO1FnKo7pYm99BrrMsTs7prPlRB01TBl0GXiEiTziWeU6dOITU1FQqFAm3btkWHDh1Eb6NXr17o1atXhbcJgoC4uDhMmTIFAwYMAABERkYiMDAQSUlJGDNmDFJTU9G1a1d4eXnBy8sL77//PtLS0uDs7Izly5dj7NixaNy4sa5PUdZy84tNPYQKHb/5b7llPo1q671duYdeQ5M67LK6axzGDL58PYiIKif6Uy8zMxOhoaE4fPgw6tatC0EQkJOTg27duuGjjz6Ci4uLJAO7du0a0tPTERQUpF5mb2+PLl264NixYxgzZgw8PT2xY8cOZGVlIS0tDfn5+WjRogWOHj2KlJQULFiwQJKxUNUqCrlV3a5rALb20Evmy1DBlyGXiEg7omdpWLx4MXJzc7F7924cPnwYR44cQVJSEnJzc7FkyRLJBpaeng4AcHV11Vju5uaGjIwMAEDPnj0xdOhQjBo1CuHh4YiMjEStWrWwcOFCLFq0CPHx8XjqqacwZswYnD9/XrKxyVl1swdUd8KamHaG4zf/rTbsSnk/QH7tFsbA6q7lUM2UoOuMCfren4jIWon+5Pv111+xefNmtGnTRr2sbdu2mD9/Pl566SVJBwcACoXmQV0QNCskM2bM0Oj/jYqKQkBAAGxtbRETE4PExET8/PPPCAsLw86dOyUfn7XSNbBWtA2xFV9dKr3mWuWVY9gl6TC0EhEZh+gKb0lJCezsygcHW1tblJSUSDIoAHB3dwcAdTVXJTMzE25ubhXeJzU1FYmJiZg5cyYOHz4Mf39/uLi4YNCgQUhJSUFubq5k47NE2lZPpQi7Zbcndpu6VHqNNUevVOR6khpDGhERmRvRgbd79+5YunQpbt++rV52+/ZtREREICAgQLKBNW3aFO7u7jh48KB6WWFhIY4cOQI/P79y6wuCgHnz5iEsLAy1a9dGSUkJioqKAED9XykDubWSOuzqs225hF5DzNBgiLDL6i4REVkr0Z+A8+bNw9SpU9GvXz80bNgQCoUCN2/ehFKpxPLly0Vt699//8XVq1fVP1+7dg1nzpxBvXr10LhxY4SEhCA2NhYtW7ZEixYtEBsbCwcHBwQHB5fb1o4dO+Dq6op+/foBADp37oyoqCgkJyfjwIEDaNu2rdVf+riqsKdNeDRk2C37GNq2OVhie4Ocwy6ru0REZI5Efwo2atQICQkJOHjwIC5evAhBENC2bVsEBgaKfvBTp04hJCRE/XNERAQAYMSIEVi2bBkmTZqEgoICLFy4EFlZWfDx8cGmTZvg5OSksZ2MjAzExsYiPj5evczb2xsTJ07E5MmT4eLigsjISNHjo/8YI+yWfTxDhl65YtglIiKSnkIoexZYFYqKiuDt7Y1du3ZBqVQaclwmVVxcjOTkZPj6+sLGRr8AInYaorzCouq3WckcvPrM0FBVhdfYYbcsbYOv2NArRZVXqnYGQ/XrStnGwMBLRERyIiavierhtbW1RePGjdkLqyW5XF4U0L+dwZS0Ddxyfx6VYdglIiIyLNEnrb322mtYsWIF7t+/b4DhWDdtqrvGZurqroohQq++J7BJUd1l2CUiIjI80Z+KW7duxZUrV9CzZ080btwYjo6OGrcnJCRINjgyPDm3MpSlbV+vOfT0GnLKMYZdIiIiTaI/Gfv161fuYhBExiLmZDZD0qe6y7BLRERkXKI/HUtf1Yzko6oT1nT56l5u1d3StAm9cq3yMuwSEREZn9Y9vA8ePMDChQvRs2dPBAQE4K233sLdu3cNOTaqQGUzNOiisnYGOYddFanGqMsfA7pWdw3Zr8uwS0REVDmtA++aNWuQkJCA3r17Y/DgwTh48CAWLFhgwKERVa260CunWRvM4eQ0gGGXiIgsk9aflj/88AOWLl2KwYMHAwCGDh2K559/HsXFxXrPVUuGU1kF05yru6UZu6dXbHXXXIIuwLBLRESWS+sK761bt+Dv76/+2dvbGzY2Nrhz545BBkbaq+6CE9oyt7CrDVNWeRl2iYiI5EHrwFtcXAw7O83qlo2NDYqK5Dd3LFVNTl/1S0GOQd1Qlwhm2CUiIhJP609PQRAwZ84c2Nvbq5cVFhZiwYIFqFXrv7Pho6OjpR2hlTDERSfEnJAlZWj85eStatfp5dVQsscDjNPaoG07g6HCriEw7BIRkTXQ+lN0xIgR5ZYNHTpU0sFQ1aScoUFq2oTcytaXOvyWZcwpyqQOu4YKugDDLhERWQ+tP00jIiIMOQ6Lk1sgGOVxxPbvVtTOoE91V2zQrWob+gZfQ1Z5pbiMsFgMu0RERNIw3CcqmZQu88uKIUXQrWybhq74GopU1V0GXSIiImlpfdIamT+pqruGCLvG3L4hMOwSERHJFwOvmTBE/64cw66+j2OIGRuqa2eQIuwaagYGFYZdIiKyZmxpMGOV9e9W1M6g71Rkpqi6/nLyltm2N4jBoEtERGRYrPDKgCGmJKuOmEqoKVsMTN3eYMjqLqu6RERExsEKr4WRurpr6sBpaM6Ous++oG/YNRQGXSIiIk2s8JqBivp39bmcsLbVXbmEXbmMQyoMu0RERMbFwGvhylZ3zS3sqogZj1QnrlXVzqBrddeQV0xj2CUiIqoYWxoMQMxFJ6Ts35Vq7l25hV1LYYiwy5BLRERUPVZ4zZC27Qy6VneparpUdxl2iYiITIcVXpnTdv5duVV3k/84q/5/3wBPSbZpzGnKpLyUsNRhl0GXiIhIHAZeM2PI6q6uYbd0uNXmdqkCsL50maFBbHVXyrDLoEtERKQbtjSYkFT9u1JUd3UJu8l/nK027FZ2P2vAsEtERCQPrPBKTMwJa9VuS8fLCYut7ooNu1IEVtU25FLtLa2ydgYx1V2pwi6DLhERkf5Y4TUjusy9K/WJalJXZ8VuzxxmkGDYJSIikhcGXpnS9WQ1sVdVExMgraUVoSL6XFVNp8dj2CUiIpIMWxpMRMr5dysjVSuDoYNu8h9nJW1t8GlUu9p1KjthTd/ZGfSt7jLoEhERSY8VXglJ2b9bVkXtDPpUd+USdo2hkWMtve6vbXWXYZeIiEieGHhlSNeT1UqTonfXmGHXEoK1Phh2iYiIDIeB1wTEtjOYorpryQFUTDuDMaq7DLtERESGxcBrgXgJYfPBsEtERGR4DLwSkap/V5t2BlZ3tadt/64+J6vpWt1l2CUiIjIOBl4jk6KdoSpVVXetIexqM0ODtrRpZ2DYJSIikj8GXhnR5WQ1sfPuVsUcwm4vr4Z63b+y/l1jYtglIiIyLgZeCRhqOjJtTlYrTd/qrrXS9WQ1Xaq7DLtERETGx8BrRMa42ISuzKG6K1bZ/l1TV3cZdomIiEyDgVcm9D1ZTZ/qrqWEXV36d41Z3SUiIiLTYOCVKbEnq5Emfa+uVhW2MhAREZkXBl49adu/K3U7g7Ynq1lSdVefE9a0bWfQ9kITYjDsEhERmRYDrwzo0s5QGi80IV07Q3XEVncZdomIiEyPgVeGrLGdwTfAU7Jt6XqymiGqu0RERGR6DLxGwHYG/VXVzsDqLhEREVWFgVcPhpp/tyy2M2hP15PVpK7uMuwSERHJBwOviZXt32U7Q3n6VHcramcwRnWXiIiI5IOB10qZUzuDtgzVu8tWBiIiIvPGwGtgcu3flQtDVncrokt1VwyGXSIiIvlh4NUR+3flRS7VXSIiIpIfswi827ZtQ9++feHl5YWRI0fi6NGj6ts2btyIwMBABAYGYsuWLRr3O378OEaOHIni4urnuTUFbebftWSmru7yRDUiIiLrIPvy1Z49exAREYH58+ejc+fO+PzzzzFp0iTs3r0bOTk5WLNmDdatWwcAmDx5MgIDA6FUKvHw4UPMnz8fixYtgo2Necyvak0nrBl73l1Dn6jGsEtERCRfsg+8mzdvxjPPPINnn30WAPDOO+/gt99+Q3x8PNq3bw8PDw8EBAQAADw8PJCamgqlUomNGzfC398f3t7ephw+VUCbsCt1dbcstjIQERFZD1m3NBQWFiIlJQVBQUEay3v06IFjx47Bw8MDly9fxo0bN3D9+nVcvnwZSqUSV65cQUJCAt544w2DjEvb/l2pT1izFmLCrqGqu2KwuktERCRvsi5j3bt3D8XFxXB1ddVY7ubmhvT0dLRp0wahoaGYOHEiAODNN99EmzZtMGHCBMyePRu//fYboqOjYWtri3feeQddunQxxdOgUvTp2y1L17ArZXWXYZeIiEj+ZB14VRQKzVAhCIJ62fPPP4/nn39efdvOnTtRu3Zt+Pr6YuDAgfjyyy9x69YthIaGYt++fbC3tzfq2KWk7ZRk2vAN8DT6XLz69u0ao5WBiIiILI+sA6+zszNsbGyQkZGhsTwzMxNubm7l1r979y7Wrl2Lbdu24fjx42jZsqX6X1FRES5dugQPDw9jDZ/+n7ZBVw6tDKzuEhERWR5Z9/Da29ujY8eOOHjwoMby33//HX5+fuXWf//99zFhwgQ0bNgQJSUlKCr6r4e2uLgYJSUlBh+zOZFypgR9H4OtDERERGQosq7wAsDEiRPx9ttvo1OnTvDz88P27dtx8+ZNjBkzRmO9gwcP4sqVK/jggw8AAN7e3rh48SJ++eUX3Lp1CzVq1ECrVq1M8RQqpMscvI0ca0na1mBoUoXd0tVdQ11ggoiIiCyX7APv008/jXv37uHjjz/GnTt3oFQq8cknn6BJkybqdfLz87Fo0SKsWrUKNWo8Klo3aNAA7733HubOnQt7e3tERkbCwcHBVE/D6Hp5NdTq8sKG6OUVUzkWE3a1xVYGIiIiKk0hCIJxrpFrRoqLi5GcnAxfX98KL1ohxbRkFVV4K7rwRNlLC5eu8FZ3aWFtAq+KFKFXbIuE2LDLVgYiIiJSqS6vlSb7Ci8Zhyqs6hJ8dekFNsewS0REROaJn/ZmzKdR7SqrvNq2NZRWOrxWFn71PdnNEGG3IlL37bK6S0REZJ4YeEXStp2hOk4ONjqduCaWLqFXRepZHLSZiUHXsFu2uqtN2GUrAxERkXWQ9bRkZDmMGXa1wbBLRERkPRh4zUzZEKjNLAZi5riVWi+vhkYPu+zbJSIiotIYeGVO237V6hg79GobdAF5h11Wd4mIiMwfS10iOdVUSNbHW1YdB7sKpyYrq+wFKKo7eU1FFUB17enVhphgXVF12pBhVyyGXSIiIsvAwGuF9DmRraptilFdVReQPuyyb5eIiMg6MfCaAWdHu3IXoNC1yqtSOqDqGn51aZPQpqoLMOwSERGRdBh4Taiiqcm0bWuoiNjQq2Ks/l6GXSIiIjIFnrRmQFLOBlBRCKwoLGoza4Ox+TSqXWELg9zCLhEREVkmBl4zJ+fQW1HQBSqv6po67LK6S0REZJlY/jIxMW0NFfXyAuX7eYH/Qq8uLQ76qixwVxR0AfEXlGDYJSIiIjEYeM2MmNALGDf4ShV0AYZdIiIikg4Dr4E52tsir7CoynXEnrwmNvQChgu+VbVPVBZ0AfFhV9s5dhl2iYiIqCwGXh0Y8uITpekaegFUG3wB3cKvNv3BugZdgGGXiIiIpMfAKxMVVXmrU1noBaqu9qpIfXJbVUEXMFwLA8CwS0RERJVj4DUCbdoaKlPdvLzVhV6V6sKvrqoLuYBuVV2AYZeIiIikwcCrI0O0NVRW5dUm9AKoNPgC0oVfbQJu6TFVxdhBF2DYJSIiskYMvEaibZVX19ALVF3tLU3b0KoLfYIuwLBLRERE0mPglaGqQi8Araq9QNUVXylpE3IBaYIuwLBLRERE4jDw6kFsW4OYXt6qTmLTptoLaNfqoAttA65KVUEXYNglIiIiw2LgNTJjh16g4oCqbQgWG25LM3XQBRh2iYiIiIFX9qoLvUDVLQ6V0SfIVkfKoAuwqktERET6YeDVky6zNYidpqy6OXr1Cb5SqS7kAsYJugDDLhEREWli4DURqUMvoBk6jRF+tQm5gPigCzDsEhERkXQYeCWg65y8uoReAFpdka1sGNU3AGsbbkszZtAFGHaJiIioYgy8EjFW6AXEBV8VXQKrLnQJuSqs6hIREZEhMPDKgK6XHtYl+BqCPiEXYFWXiIiIDIuBV0L6XG5Y19ALaAZOY4VffUMuoF/QBRh2iYiISDsMvBIzVehVP36ZICpFAJYi3JbGoEtERETGxMArM6owqG/wVZE6rOpD36ALMOwSERGReDVMPQBLJEUokyIcyoWjva0kVV2GXSIiItKF5aQqmdGntUFF6mqvMUkZ2Bl0iYiISB8MvAYkRegFzCf4Sl2VZtAlIiIiKTDwGphUoRfQDJRyCb+GaL1g0CUiIiIpMfAagZShV8VU4deQvcUMukRERGQIDLxGYojQq1JRCJUiBBvzxDmGXSIiIjIUBl4jUoU6QwXf0sxllgcGXSIiIjI080hFFsaQ1V5zwJBLRERExsTAayLGrPbKBYMuERERmQIDr4lZQ/Bl0CUiIiJTYuCVCUsLvgy5REREJBcMvDJjzsGXIZeIiIjkiIFXpswl+DLkEhERkdwx8Mpc2UBp6gDMgEtERETmhoHXzBgzADPcEhERkSVg4DVzDKVEREREVath6gEQERERERkSAy8RERERWTQGXiIiIiKyaAy8RERERGTRGHiJiIiIyKJxloYKCMKjqb6Ki4tNPBIiIiIiqogqp6lyW1UYeCtQUlICADh58qSJR0JEREREVVHltqooBG1isZUpKSlBUVERatSoAYWC89wSERERyY0gCCgpKYGtrS1q1Ki6S5eBl4iIiIgsGk9aIyIiIiKLxsBLRERERBaNgZeIiIiILBoDLxERERFZNAZeIiIiIrJoDLxEREREZNEYeImIiIjIojHwEhEREZFFY+Clam3btg19+/aFl5cXRo4ciaNHj5p6SCZ35MgRTJkyBUFBQfDw8MCPP/6ocbsgCIiKikJQUBC8vb0xfvx4nD9/XmOdwsJCLF68GN26dYOvry+mTJmCW7duaayTlZWF2bNn4/HHH8fjjz+O2bNnIzs7W2OdGzduYMqUKfD19UW3bt2wZMkSFBYWGuaJG0FsbCyeeeYZ+Pn5ISAgAFOnTsXFixc11uH+1d1nn32GIUOGoHPnzujcuTNGjx6NX375RX079620YmNj4eHhgaVLl6qXcR/rLioqCh4eHhr/evToob6d+1Z/t2/fxqxZs9CtWzf4+Phg2LBhOHXqlPp2s93HAlEVdu/eLXTs2FHYsWOHcOHCBWHJkiWCr6+vcP36dVMPzaT2798vrFy5Uvjuu+8EpVIp/PDDDxq3x8bGCn5+fsJ3330n/PPPP8Ibb7wh9OjRQ8jJyVGvM2/ePKFnz57CwYMHhZSUFGH8+PHC0KFDhaKiIvU6L7/8shAcHCz8/fffwt9//y0EBwcLkydPVt9eVFQkBAcHC+PHjxdSUlKEgwcPCkFBQcKiRYsMvxMM5KWXXhK++uor4dy5c8KZM2eEV199Vejdu7fw77//qtfh/tXdTz/9JOzfv1+4ePGicPHiRWHlypVCx44dhXPnzgmCwH0rpePHjwt9+vQRhgwZIixZskS9nPtYd2vWrBEGDx4s3LlzR/0vMzNTfTv3rX7u378v9OnTR5gzZ45w/PhxIS0tTfj999+FK1euqNcx133MwEtVGjVqlDBv3jyNZQMHDhQ+/PBDE41IfsoG3pKSEqFHjx5CbGysellBQYHw+OOPC/Hx8YIgCEJ2drbQsWNHYffu3ep1bt26JXh6egoHDhwQBEEQLly4ICiVSiE5OVm9zrFjxwSlUimkpqYKgvAoeHt6egq3bt1Sr5OUlCR06tRJ4+BjzjIzMwWlUikcPnxYEATuX0Po0qWLsGPHDu5bCeXm5goDBgwQDh48KLzwwgvqwMt9rJ81a9YIQ4cOrfA27lv9LV++XHj++ecrvd2c9zFbGqhShYWFSElJQVBQkMbyHj164NixYyYalfxdu3YN6enpGvvN3t4eXbp0Ue+3U6dO4eHDhxpfxTVo0ADt2rVTr3Ps2DHUqVMHPj4+6nV8fX1Rp04d9TrJyclo164dGjRooF4nKCgIhYWFGl9BmbOcnBwAQL169QBw/0qpuLgYu3fvRl5eHvz8/LhvJbRo0SL06tULgYGBGsu5j/V35coVBAUFoW/fvggNDUVaWhoA7lsp7Nu3D506dcLrr7+OgIAADB8+HDt27FDfbs772Fb0Pchq3Lt3D8XFxXB1ddVY7ubmhvT0dBONSv5U+6ai/Xbjxg0AQEZGBuzs7NQhrvQ6GRkZ6nXKbkO13dLruLm5adxer1492NnZqdcxZ4IgICIiAo8//jiUSiUA7l8p/PPPPxgzZgwKCgrg6OiItWvXom3btvj7778BcN/qa/fu3Th9+jS+/PLLcrfx/asfb29vREZGomXLlsjMzERMTAzGjBmDpKQk7lsJpKWlIT4+HhMnTsSUKVNw4sQJLFmyBPb29hg+fLhZ72MGXqqWQqHQ+FkQhHLLqLyK9lt1tF2n9LYrey0s4TVatGgRzp07h88++6zcbdy/umvVqhV27dqF7OxsfP/99wgLC8P//vc/9e3ct7q7efMmli5dik2bNqFmzZqVrsd9rJtevXpp/Ozr64snn3wSu3btUlcLuW91JwgCOnXqhDfffBMA0KFDB1y4cAHx8fEYPny4ej1z3MdsaaBKOTs7w8bGptxfUpmZmeX+6qL/uLu7A0CV+83NzQ0PHz5EVlZWletkZmaW2/7du3fVfxlXVG3PysrCw4cPK/zr2ZwsXrwY+/btw6effoqGDRuql3P/6s/e3h4tWrSAl5cX3nrrLXh6eiIuLo77VgIpKSnIzMzEyJEj0aFDB3To0AGHDx/G1q1b0aFDB/U+4j6WhqOjI5RKJS5fvsz3rwTc3d3Rpk0bjWWtW7dWV2/NeR8z8FKl7O3t0bFjRxw8eFBj+e+//w4/Pz8TjUr+mjZtCnd3d439VlhYiCNHjqj3W6dOnWBnZ6exzp07d3D+/Hn1On5+fsjJycGJEyfU6xw/fhw5OTnqdXx9fXH+/HncuXNHvc7Bgwdhb2+PTp06GfR5GoogCFi0aBG+//57fPrpp2jWrJnG7dy/0hMEAYWFhdy3EujevTsSExOxa9cu9b9OnTphyJAh2LVrF5o1a8Z9LKHCwkKkpqbC3d2d718JdO7cGZcuXdJYdvnyZTRp0gSAmR9/RZ/mRlZFNS3ZF198IVy4cEFYunSp4OvrK1y7ds3UQzOp3Nxc4fTp08Lp06cFpVIpbN68WTh9+rR6urbY2Fjh8ccfF77//nvhn3/+Ed58880Kp2154oknhN9//11ISUkRQkJCKpy2ZciQIcKxY8eEY8eOVTpty4svviikpKQIv//+u/DEE0+Y9dQ48+fPFx5//HHhzz//1Jh66MGDB+p1uH91t2LFCuHIkSNCWlqacPbsWWHlypWCp6en8NtvvwmCwH1rCKVnaRAE7mN9LFu2TPjzzz+Fq1evCsnJycLkyZMFPz8/9WcS961+jh8/LnTo0EGIiYkRLl++LHzzzTeCj4+P8PXXX6vXMdd9zMBL1frf//4n9OnTR+jYsaMwYsQI9fRQ1uzQoUOCUqks9y8sLEwQhEdTt6xZs0bo0aOH0KlTJ2HcuHHCP//8o7GN/Px8YdGiRULXrl0Fb29vYfLkycKNGzc01rl3757w1ltvCX5+foKfn5/w1ltvCVlZWRrrXL9+XXj11VcFb29voWvXrsKiRYuEgoICw+4AA6povyqVSuGrr75Sr8P9q7vw8HD173P37t2FF198UR12BYH71hDKBl7uY92p5nzt2LGjEBQUJEyfPl04f/68+nbuW/3t27dPCA4OFjp16iQMHDhQ2L59u8bt5rqPFYKgRRcxEREREZGZYg8vEREREVk0Bl4iIiIismgMvERERERk0Rh4iYiIiMiiMfASERERkUVj4CUiIiIii8bAS0REREQWjYGXiIiIiCwaAy8RkQz17dsXW7ZsMfUwRBs/fjyWLl1q6mEQEWmwNfUAiIjkzMPDo8rbR4wYgWXLllV5/7Vr16J///6SjisqKgrR0dHllm/evBmBgYGSPlZF/vzzT4SEhODIkSOoW7euxrhsbfnRQkTywqMSEVEVfvvtN/X/79mzB2vWrMHevXvVyxwcHEwxLABAu3btsHnzZo1l9erVM9FoHqlfv75JH5+IqCJsaSAiqoK7u7v6X506daBQKDSWJSYmon///ujUqROeeuop7Nq1S33fvn37AgCmTZsGDw8P9c9Xr17Fa6+9hsDAQPj5+eGZZ57B77//LnpsNjY2GmNxd3eHvb09oqKiMGzYMI11t2zZon58AJgzZw6mTp2KjRs3IigoCN26dcPChQvx8OFD9TqFhYX44IMP0KtXL3Tq1AkDBgzAF198gWvXriEkJAQA0KVLF3h4eGDOnDkAyrc0ZGVl4e2330aXLl3g4+ODV155BZcvX1bfvnPnTvj7++PXX3/FoEGD4Ofnh5dffhl37txRr/Pnn39i1KhR8PX1hb+/P8aMGYPr16+L3l9EZL1Y4SUi0tEPP/yA999/H+Hh4QgMDMT+/fsxd+5cNGzYEN27d8eXX36JgIAAREREoGfPnrCxsQEA5OXloVevXnjjjTdQs2ZNJCQkYMqUKdi7dy8aN25stPH/+eefcHd3x6effoqrV68iNDQU7du3x3PPPQcAePvtt5GcnIx3330Xnp6euHbtGu7du4dGjRohKioKM2bMwN69e+Hk5FRppXvOnDm4cuUKYmJi4OTkhOXLl+PVV1/F7t27YWdnBwDIz8/Hpk2b8MEHH6BGjRqYPXs2IiMjsWLFChQVFWHatGl49tlnsXLlSjx8+BAnTpyAQqEw2n4iIvPHwEtEpKONGzdixIgRGDduHACgVatWSE5OxqZNm9C9e3e4uLgAAOrWrQt3d3f1/Tw9PeHp6an+OTQ0FD/++CP27duHF154QevHP3fuHPz8/NQ/t2nTBl9++aXW969Xrx7mzZsHGxsbtGnTBr169cIff/yB5557DpcuXcK3336r0RPcrFkzjfsCgKurq0YPb2mXL1/Gvn37EB8fj86dOwMAPvzwQ/Tu3Rs//vgjBg0aBAB4+PAhFi5ciObNmwMAxo0bh48//hgAkJubi5ycHPTp00d9e5s2bbR+jkREAAMvEZHOLl68iNGjR2ss69y5M+Li4qq8X15eHqKjo7F//37cuXMHxcXFyM/Px40bN0Q9fqtWrRATE6P+2d7eXtT927Ztq646A4/aN86dOwcAOHPmDGxsbNClSxdR2ywtNTUVtra28PHxUS9zdnZGq1atkJqaql5Wq1YtdZgFgMceewyZmZkAHvUEjxw5Ei+//DJ69OiBgIAADBo0CI899pjO4yIi68MeXiIiPZT9al0QhGq/bv/ggw/w/fffIzQ0FNu2bcOuXbugVCo1+me1YWdnhxYtWqj/NWrUSD0mQRA01i0qKip3/7KzKZS+nxQn45UdQ+nlpfdRVeMAgIiICGzfvh1+fn749ttv8dRTTyE5OVnv8RGR9WDgJSLSUevWrfHXX39pLDt27JjGV+52dnYoLi7WWOevv/7CiBEj8OSTT8LDwwNubm6SnoTl4uKCjIwMjdB45swZUdtQKpUoKSnBkSNHKrxd1X9b9rmV1rZtWxQVFeH48ePqZffu3cPly5dFtyV06NABkydPxueffw6lUomkpCRR9yci68bAS0Sko1deeQUJCQmIj4/H5cuXsXnzZvzwww946aWX1Os0adIEf/zxB9LT05GVlQUAaN68OX744QecOXMGZ8+exVtvvYWSkhLJxtWtWzfcvXsX69evx9WrV7Ft2zb8+uuvorbRtGlTjBgxAnPnzsWPP/6ItLQ0/Pnnn9izZ4/6eSkUCuzfvx93797Fv//+W24bLVu2RL9+/fDee+/h6NGjOHv2LGbPno0GDRqgX79+Wo0jLS0NK1aswLFjx3D9+nX89ttvuHz5Mlq3bi3q+RCRdWPgJSLSUf/+/TF37lxs3LgRwcHB+Pzzz/H++++jW7du6nXCwsLw+++/o3fv3hgxYgQAIDw8HHXr1sWYMWMwZcoU9OzZEx07dpRsXG3atMH8+fPx2WefYdiwYThx4oRGCNfWggUL8NRTT2HBggUYNGgQ3nvvPTx48AAA0KBBA8yYMQMrVqxAYGAgFi9eXOE2IiIi0LFjR0yZMgWjR4+GIAj45JNP1BXi6tSqVQsXL17EjBkz8NRTT2HevHkYN24cxowZI/r5EJH1UgiVNVkREREREVkAVniJiIiIyKIx8BIRERGRRWPgJSIiIiKLxsBLRERERBaNgZeIiIiILBoDLxERERFZNAZeIiIiIrJoDLxEREREZNEYeImIiIjIojHwEhEREZFFY+AlIiIiIov2f9iwA34fddpSAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(8, 6))\n",
-    "sns.kdeplot(x=total_fns, y=spec_fns_99, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
-    "plt.title('Density of Specializable Functions at 99% Threshold')\n",
-    "plt.xlabel('Total Functions')\n",
-    "plt.ylabel('Proportion of Specializable Functions')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.grid(False)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 28,
    "id": "44aa1c5c",
    "metadata": {},
    "outputs": [
@@ -390,7 +364,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4673/2290578906.py:4: FutureWarning: \n",
+      "/tmp/ipykernel_10446/2290578906.py:4: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -428,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 10,
    "id": "bb2f872f",
    "metadata": {},
    "outputs": [],
@@ -445,94 +419,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
-   "id": "f94c19a6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_4673/2630265299.py:21: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.boxplot(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "\n",
-    "labels = (\n",
-    "    ['Bare functions'] * len(bare_fns_90) +\n",
-    "    ['Trait functions'] * len(trait_fns_90) +\n",
-    "    ['Trait impl functions'] * len(trait_impl_fns_90) +\n",
-    "    ['Inherent impl functions'] * len(inherent_impl_fns_90)\n",
-    ")\n",
-    "\n",
-    "values = (\n",
-    "    list(bare_fns_90) +\n",
-    "    list(trait_fns_90) +\n",
-    "    list(trait_impl_fns_90) +\n",
-    "    list(inherent_impl_fns_90)\n",
-    ")\n",
-    "\n",
-    "plt.figure(figsize=(8, 6))\n",
-    "sns.boxplot(\n",
-    "    x=labels,\n",
-    "    y=values,\n",
-    "    palette={\n",
-    "        'Bare functions': 'skyblue',\n",
-    "        'Trait functions': 'coral',\n",
-    "        'Trait impl functions': 'lightgreen',\n",
-    "        'Inherent impl functions': 'goldenrod',\n",
-    "    }\n",
-    ")\n",
-    "\n",
-    "plt.title('Distribution of Specializable Functions (90% Threshold)')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.ylim(0, 1)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 101,
-   "id": "41347983",
+   "execution_count": 86,
+   "id": "979879b1",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_4673/3693874740.py:21: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.boxplot(\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -540,56 +435,52 @@
     }
    ],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
     "sns.set_style(\"whitegrid\")\n",
     "\n",
-    "labels = (\n",
-    "    ['Bare functions'] * len(bare_fns_99) +\n",
-    "    ['Trait functions'] * len(trait_fns_99) +\n",
-    "    ['Trait impl functions'] * len(trait_impl_fns_99) +\n",
-    "    ['Inherent impl functions'] * len(inherent_impl_fns_99)\n",
-    ")\n",
+    "labels = []\n",
+    "thresholds = []\n",
+    "values = []\n",
     "\n",
-    "values = (\n",
-    "    list(bare_fns_99) +\n",
-    "    list(trait_fns_99) +\n",
-    "    list(trait_impl_fns_99) +\n",
-    "    list(inherent_impl_fns_99)\n",
-    ")\n",
+    "for label, vals_90, vals_99 in [\n",
+    "    ('Bare functions', bare_fns_90, bare_fns_99),\n",
+    "    ('Trait functions', trait_fns_90, trait_fns_99),\n",
+    "    ('Trait impl functions', trait_impl_fns_90, trait_impl_fns_99),\n",
+    "    ('Inherent impl functions', inherent_impl_fns_90, inherent_impl_fns_99),\n",
+    "]:\n",
+    "    labels += [label] * (len(vals_90) + len(vals_99))\n",
+    "    thresholds += ['90% Threshold'] * len(vals_90) + ['99% Threshold'] * len(vals_99)\n",
+    "    values += list(vals_90) + list(vals_99)\n",
     "\n",
-    "plt.figure(figsize=(8, 6))\n",
+    "plt.figure(figsize=(10, 6))\n",
     "sns.boxplot(\n",
     "    x=labels,\n",
     "    y=values,\n",
+    "    hue=thresholds,\n",
     "    palette={\n",
-    "        'Bare functions': 'skyblue',\n",
-    "        'Trait functions': 'coral',\n",
-    "        'Trait impl functions': 'lightgreen',\n",
-    "        'Inherent impl functions': 'goldenrod',\n",
-    "    }\n",
+    "        '90% Threshold': 'skyblue',\n",
+    "        '99% Threshold': 'coral',\n",
+    "    },\n",
     ")\n",
     "\n",
-    "plt.title('Distribution of Specializable Functions (99% Threshold)')\n",
+    "plt.title('Percentage of Specializable Functions by Kind and Threshold')\n",
     "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
+    "plt.ylabel('Specializable Functions')\n",
     "plt.ylim(0, 1)\n",
-    "\n",
     "plt.tight_layout()\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
-   "id": "979879b1",
+   "execution_count": null,
+   "id": "d5976782",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
+       "<Figure size 600x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -597,44 +488,29 @@
     }
    ],
    "source": [
+    "perc = [\n",
+    "    (df_90['total_trait_impl_fns'] / df_90['total_fns']).mean(),\n",
+    "    (df_90['total_inherent_impl_fns'] / df_90['total_fns']).mean(),\n",
+    "    (df_90['total_bare_fns'] / df_90['total_fns']).mean(),\n",
+    "    (df_90['total_trait_fns'] / df_90['total_fns']).mean(), \n",
+    "]\n",
     "\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "\n",
-    "labels = []\n",
-    "thresholds = []\n",
-    "values = []\n",
-    "\n",
-    "for label, vals_90, vals_99 in [\n",
-    "    ('Bare functions', bare_fns_90, bare_fns_99),\n",
-    "    ('Trait functions', trait_fns_90, trait_fns_99),\n",
-    "    ('Trait impl functions', trait_impl_fns_90, trait_impl_fns_99),\n",
-    "    ('Inherent impl functions', inherent_impl_fns_90, inherent_impl_fns_99),\n",
-    "]:\n",
-    "    labels += [label] * (len(vals_90) + len(vals_99))\n",
-    "    thresholds += ['90% Threshold'] * len(vals_90) + ['99% Threshold'] * len(vals_99)\n",
-    "    values += list(vals_90) + list(vals_99)\n",
-    "\n",
-    "plt.figure(figsize=(8, 6))\n",
-    "sns.boxplot(\n",
-    "    x=labels,\n",
-    "    y=values,\n",
-    "    hue=thresholds,\n",
-    "    palette={\n",
-    "        '90% Threshold': 'skyblue',\n",
-    "        '99% Threshold': 'coral',\n",
-    "    },\n",
+    "plt.figure(figsize=(6, 6))\n",
+    "plt.pie(\n",
+    "    perc, \n",
+    "    autopct='%1.0f%%',\n",
+    "    textprops={'fontsize': 14},\n",
+    "    wedgeprops=dict(width=0.3, alpha=0.8),\n",
+    "    colors=['skyblue', 'coral', 'lightgreen', 'goldenrod']\n",
     ")\n",
-    "\n",
-    "plt.title('Distribution of Specializable Functions by Kind and Threshold')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.ylim(0, 1)\n",
-    "plt.tight_layout()\n",
+    "plt.title('Distribution of Function Kinds')\n",
+    "plt.legend(['Trait Impl Fns', 'Inherent Impl Fns', 'Bare Fns', 'Trait Fns'], loc='upper left')\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 14,
    "id": "6fab938f",
    "metadata": {},
    "outputs": [],
@@ -647,15 +523,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 121,
    "id": "6028c07b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 400x600 with 1 Axes>"
+       "<Figure size 300x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -664,18 +540,18 @@
    ],
    "source": [
     "x_position = [0, 1]\n",
-    "plt.figure(figsize=(4, 6)) \n",
+    "plt.figure(figsize=(3, 5)) \n",
     "\n",
     "sns.barplot(\n",
     "    x=x_position,\n",
     "    y=[avg_already_spec_90, avg_already_spec_99],\n",
-    "    label='Already Specializable',\n",
+    "    label='Already Spec.',\n",
     "    color='skyblue'\n",
     ")\n",
     "sns.barplot(\n",
     "    x=x_position,\n",
     "    y=[avg_newly_spec_90, avg_newly_spec_99],\n",
-    "    label='Newly Specializable',\n",
+    "    label='Newly Spec.',\n",
     "    color='coral',\n",
     "    bottom=[avg_already_spec_90, avg_already_spec_99] \n",
     ")\n",

From 210d8bd0f075f57431e45c3ec5453243a7485043 Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 11:33:08 +0100
Subject: [PATCH 04/12] fix: specialization with nested naked impl types

---
 .../crates/spec-trait-bin/src/main.rs         | 27 +++++++++++++++++++
 .../crates/spec-trait-utils/src/impls.rs      |  7 ++++-
 2 files changed, 33 insertions(+), 1 deletion(-)

diff --git a/spec-trait-impl/crates/spec-trait-bin/src/main.rs b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
index 834d786..ae0d749 100644
--- a/spec-trait-impl/crates/spec-trait-bin/src/main.rs
+++ b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
@@ -4,6 +4,7 @@ use std::fmt::Debug;
 #[allow(clippy::upper_case_acronyms)]
 struct ZST;
 struct ZST2;
+struct S<T>(T);
 
 trait Foo<T> {
     fn foo(&self, x: T);
@@ -18,6 +19,10 @@ trait Foo3<T> {
     fn foo(&self, x: T, y: String);
 }
 
+trait Foo4 {
+    fn foo(&self);
+}
+
 type MyType = u8;
 type MyVecAlias = Vec<i32>;
 
@@ -239,10 +244,26 @@ impl<T, U> Foo<U> for T {
     }
 }
 
+// T - Foo4
+impl<T> Foo4 for T {
+    fn foo(&self) {
+        println!("Default Foo4 for T");
+    }
+}
+
+#[when(T = u32)]
+impl<T> Foo4 for S<T> {
+    fn foo(&self) {
+        println!("Foo4 impl S<T> where T is u32");
+    }
+}
+
 fn main() {
     let zst = ZST;
     let zst2 = ZST2;
     let x = vec![1i32];
+    let s1 = S(1u32);
+    let s2 = S(1i8);
 
     // ZST - Foo
     spec! { zst.foo(1u8); ZST; [u8]; u8 = MyType } // -> "Foo impl ZST where T is MyType"
@@ -291,4 +312,10 @@ fn main() {
     spec! { 1i32.foo("str"); i32; [&str] } // -> "Foo impl T where U is &str"
     spec! { zst.foo("str"); ZST; [&str] } // -> "Foo impl T where U is &str"
     spec! { 1u8.foo(1u8); u8; [u8] } // -> "Foo impl T where T is not i32 or ZST"
+    println!();
+
+    // T - Foo4
+    spec! { s1.foo(); S<u32>; [] } // -> "Foo4 impl S<T> where T is u32"
+    spec! { s2.foo(); S<i8>; [] } // -> "Default Foo4 for T"
+    println!();
 }
diff --git a/spec-trait-impl/crates/spec-trait-utils/src/impls.rs b/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
index ad36594..404787e 100644
--- a/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
+++ b/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
@@ -116,7 +116,12 @@ impl Specializable for ImplBody {
 impl ImplBody {
     fn get_spec_trait_name(&self) -> String {
         match &self.condition {
-            Some(c) => format!("{}_{}_{}", self.trait_name, self.type_name, to_hash(c)),
+            Some(c) => format!(
+                "{}_{}_{}",
+                self.trait_name,
+                to_hash(&self.type_name),
+                to_hash(c)
+            ),
             None => self.trait_name.to_owned(),
         }
     }

From 0f92f7279467ca64806f5a4af744c9cefd6cd1bb Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 11:50:29 +0100
Subject: [PATCH 05/12] chore: minor fix

---
 .../crates/spec-trait-bin/src/main.rs         | 20 +++++++++++++------
 1 file changed, 14 insertions(+), 6 deletions(-)

diff --git a/spec-trait-impl/crates/spec-trait-bin/src/main.rs b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
index ae0d749..70c539d 100644
--- a/spec-trait-impl/crates/spec-trait-bin/src/main.rs
+++ b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
@@ -251,10 +251,17 @@ impl<T> Foo4 for T {
     }
 }
 
-#[when(T = u32)]
+#[when(T = i32)]
 impl<T> Foo4 for S<T> {
     fn foo(&self) {
-        println!("Foo4 impl S<T> where T is u32");
+        println!("Foo4 impl S<T> where T is i32");
+    }
+}
+
+#[when(T = i32)]
+impl<T> Foo4 for Vec<T> {
+    fn foo(&self) {
+        println!("Foo4 impl Vec<T> where T is i32");
     }
 }
 
@@ -262,8 +269,8 @@ fn main() {
     let zst = ZST;
     let zst2 = ZST2;
     let x = vec![1i32];
-    let s1 = S(1u32);
-    let s2 = S(1i8);
+    let s1 = S(1i32);
+    let s2 = S(1u8);
 
     // ZST - Foo
     spec! { zst.foo(1u8); ZST; [u8]; u8 = MyType } // -> "Foo impl ZST where T is MyType"
@@ -315,7 +322,8 @@ fn main() {
     println!();
 
     // T - Foo4
-    spec! { s1.foo(); S<u32>; [] } // -> "Foo4 impl S<T> where T is u32"
-    spec! { s2.foo(); S<i8>; [] } // -> "Default Foo4 for T"
+    spec! { s1.foo(); S<i32>; [] } // -> "Foo4 impl S<T> where T is i32"
+    spec! { x.foo(); Vec<i32>; [] } // -> "Foo4 impl Vec<T> where T is i32"
+    spec! { s2.foo(); S<u8>; [] } // -> "Default Foo4 for T"
     println!();
 }

From 2d3b466eafa6d814de7b918784c3f6242b4a2b5a Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 12:22:11 +0100
Subject: [PATCH 06/12] feat: handle function types

---
 .../crates/spec-trait-utils/src/types.rs      | 194 +++++++++++++++++-
 1 file changed, 192 insertions(+), 2 deletions(-)

diff --git a/spec-trait-impl/crates/spec-trait-utils/src/types.rs b/spec-trait-impl/crates/spec-trait-utils/src/types.rs
index 7112359..f79a37c 100644
--- a/spec-trait-impl/crates/spec-trait-utils/src/types.rs
+++ b/spec-trait-impl/crates/spec-trait-utils/src/types.rs
@@ -5,8 +5,8 @@ use crate::{
 use proc_macro2::Span;
 use std::collections::{HashMap, HashSet};
 use syn::{
-    Expr, GenericArgument, GenericParam, Generics, Ident, PathArguments, Type, TypeArray,
-    TypeReference, TypeSlice, TypeTuple,
+    Expr, GenericArgument, GenericParam, Generics, Ident, PathArguments, ReturnType, Type,
+    TypeArray, TypeReference, TypeSlice, TypeTuple,
 };
 
 pub type Aliases = HashMap<String, Vec<String>>;
@@ -59,6 +59,22 @@ fn resolve_type(ty: &Type, aliases: &Aliases) -> Type {
             })
         }
 
+        // fn(T) -> U
+        Type::BareFn(bare_fn) => {
+            let mut resolved = bare_fn.clone();
+
+            for input in &mut resolved.inputs {
+                input.ty = resolve_type(&input.ty, aliases);
+            }
+
+            if let ReturnType::Type(arrow, ty) = &resolved.output {
+                let new_ty = resolve_type(ty, aliases);
+                resolved.output = ReturnType::Type(*arrow, Box::new(new_ty));
+            }
+
+            Type::BareFn(resolved)
+        }
+
         // T, T<U>
         Type::Path(type_path) if type_path.qself.is_none() => {
             let mut resolved_path = type_path.clone();
@@ -205,6 +221,41 @@ fn can_assign(
                     || to_string(&array1.len) == to_string(&array2.len))
         }
 
+        // fn(T) -> U
+        (Type::BareFn(fn1), Type::BareFn(fn2)) => {
+            let unsafety_compatible = matches!(
+                (&fn1.unsafety, &fn2.unsafety),
+                (None, None) | (Some(_), Some(_))
+            );
+
+            let abi_compatible = match (&fn1.abi, &fn2.abi) {
+                (None, None) => true,
+                (Some(a1), Some(a2)) => to_string(a1) == to_string(a2),
+                _ => false,
+            };
+
+            fn1.inputs.len() == fn2.inputs.len()
+                && unsafety_compatible
+                && abi_compatible
+                && fn1
+                    .inputs
+                    .iter()
+                    .zip(&fn2.inputs)
+                    .all(|(arg1, arg2)| can_assign(&arg1.ty, &arg2.ty, generics))
+                && {
+                    let ret1 = match &fn1.output {
+                        ReturnType::Default => str_to_type_name("()"),
+                        ReturnType::Type(_, ty) => *ty.clone(),
+                    };
+                    let ret2 = match &fn2.output {
+                        ReturnType::Default => str_to_type_name("()"),
+                        ReturnType::Type(_, ty) => *ty.clone(),
+                    };
+
+                    can_assign(&ret1, &ret2, generics)
+                }
+        }
+
         // `T`, `T<U>`, `T<_>`
         (Type::Path(path1), Type::Path(path2))
             if path1.qself.is_none() && path2.qself.is_none() =>
@@ -379,6 +430,18 @@ pub fn replace_type(ty: &mut Type, prev: &str, new: &Type) {
                 }
             }
         }
+
+        // fn(T) -> U
+        Type::BareFn(bare_fn) => {
+            for input in &mut bare_fn.inputs {
+                replace_type(&mut input.ty, prev, new);
+            }
+
+            if let ReturnType::Type(_, ty) = &mut bare_fn.output {
+                replace_type(ty, prev, new);
+            }
+        }
+
         _ => {}
     }
 }
@@ -411,6 +474,15 @@ pub fn replace_lifetime(ty: &mut Type, prev: &str, new: &str) {
                 }
             }
         }
+        Type::BareFn(bare_fn) => {
+            for input in &mut bare_fn.inputs {
+                replace_lifetime(&mut input.ty, prev, new);
+            }
+
+            if let ReturnType::Type(_, ty) = &mut bare_fn.output {
+                replace_lifetime(ty, prev, new);
+            }
+        }
         _ => {}
     }
 }
@@ -460,6 +532,18 @@ pub fn strip_lifetimes(ty: &mut Type, generics: &Generics) {
                 }
             }
         }
+
+        // fn(T) -> U
+        Type::BareFn(bare_fn) => {
+            for input in &mut bare_fn.inputs {
+                strip_lifetimes(&mut input.ty, generics);
+            }
+
+            if let ReturnType::Type(_, ty) = &mut bare_fn.output {
+                strip_lifetimes(ty, generics);
+            }
+        }
+
         _ => {}
     }
 }
@@ -536,6 +620,20 @@ pub fn assign_lifetimes(t1: &mut Type, t2: &Type, generics: &mut ConstrainedGene
                 };
             }),
 
+        // fn(T) -> U
+        (Type::BareFn(fn1), Type::BareFn(fn2)) => {
+            fn1.inputs
+                .iter_mut()
+                .zip(&fn2.inputs)
+                .for_each(|(arg1, arg2)| assign_lifetimes(&mut arg1.ty, &arg2.ty, generics));
+
+            if let (ReturnType::Type(_, ty1), ReturnType::Type(_, ty2)) =
+                (&mut fn1.output, &fn2.output)
+            {
+                assign_lifetimes(ty1, ty2, generics);
+            }
+        }
+
         _ => {}
     }
 }
@@ -581,6 +679,17 @@ pub fn replace_infers(
             }
         }
 
+        // fn(T) -> U
+        Type::BareFn(bare_fn) => {
+            for input in &mut bare_fn.inputs {
+                replace_infers(&mut input.ty, generics, counter, new_generics);
+            }
+
+            if let ReturnType::Type(_, ty) = &mut bare_fn.output {
+                replace_infers(ty, generics, counter, new_generics);
+            }
+        }
+
         // _
         Type::Infer(_) => {
             let name = get_unique_generic_name(generics, counter, None);
@@ -940,6 +1049,42 @@ mod tests {
         assert!(!can_assign(&t1, &t2, &mut g));
     }
 
+    #[test]
+    fn compare_types_fn() {
+        let mut g = ConstrainedGenerics::default();
+
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(u8) -> i32");
+        assert!(can_assign(&t1, &t2, &mut g));
+
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(_) -> _");
+        assert!(can_assign(&t1, &t2, &mut g));
+
+        g.types.insert("T".to_string(), None);
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(T) -> i32");
+        assert!(can_assign(&t1, &t2, &mut g));
+
+        g.types.insert("T".to_string(), None);
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(u8) -> T");
+        assert!(can_assign(&t1, &t2, &mut g));
+
+        g.types.insert("T".to_string(), None);
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(T) -> T");
+        assert!(!can_assign(&t1, &t2, &mut g));
+
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(i32) -> i32");
+        assert!(!can_assign(&t1, &t2, &mut g));
+
+        let t1 = str_to_type_name("fn(u8) -> i32");
+        let t2 = str_to_type_name("fn(u8) -> u8");
+        assert!(!can_assign(&t1, &t2, &mut g));
+    }
+
     #[test]
     fn compare_types_nested() {
         let mut g = ConstrainedGenerics::default();
@@ -973,6 +1118,7 @@ mod tests {
             "(T)",
             "Other<T>",
             "T<Other>",
+            "fn(T) -> Other",
         ];
         for ty in types {
             let type_ = str_to_type_name(ty);
@@ -991,6 +1137,7 @@ mod tests {
             "(T)",
             "Other<T>",
             "T<VOther>",
+            "fn(T) -> Other",
         ];
         for ty in types {
             let type_ = str_to_type_name(ty);
@@ -1116,6 +1263,24 @@ mod tests {
         assert_eq!(to_string(&ty).replace(" ", ""), "String".to_string());
     }
 
+    #[test]
+    fn replace_type_fn() {
+        let new_ty: Type = parse2(quote! { String }).unwrap();
+
+        let mut ty: Type = parse2(quote! { fn(T) -> T }).unwrap();
+        replace_type(&mut ty, "T", &new_ty);
+
+        assert_eq!(
+            to_string(&ty).replace(" ", ""),
+            "fn(String) -> String".to_string().replace(" ", "")
+        );
+
+        let mut ty: Type = parse2(quote! { fn(T) -> T }).unwrap();
+        replace_type(&mut ty, "fn(T) -> T", &new_ty);
+
+        assert_eq!(to_string(&ty).replace(" ", ""), "String".to_string());
+    }
+
     #[test]
     fn replace_type_nested() {
         let new_ty: Type = parse2(quote! { String }).unwrap();
@@ -1271,6 +1436,31 @@ mod tests {
         );
     }
 
+    #[test]
+    fn replace_infers_fn() {
+        let mut ty: Type = parse2(quote! { fn(_, &[_]) -> _ }).unwrap();
+        let mut generics = HashSet::new();
+        let mut counter = 0;
+        let mut new_generics = vec![];
+
+        replace_infers(&mut ty, &mut generics, &mut counter, &mut new_generics);
+
+        assert_eq!(
+            to_string(&ty).replace(" ", ""),
+            "fn(__G_0__, &[__G_1__]) -> __G_2__"
+                .to_string()
+                .replace(" ", "")
+        );
+        assert_eq!(
+            new_generics,
+            vec![
+                "__G_0__".to_string(),
+                "__G_1__".to_string(),
+                "__G_2__".to_string()
+            ]
+        );
+    }
+
     #[test]
     fn strip_lifetimes_simple() {
         let mut ty: Type = parse2(quote! { &'a u8 }).unwrap();

From 4cf62b3314387a85668af7a06a1dbe041f3186c8 Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 14:14:50 +0100
Subject: [PATCH 07/12] chore: example with function pointer type

---
 spec-trait-impl/crates/spec-trait-bin/src/main.rs | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/spec-trait-impl/crates/spec-trait-bin/src/main.rs b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
index 70c539d..d4fb9f0 100644
--- a/spec-trait-impl/crates/spec-trait-bin/src/main.rs
+++ b/spec-trait-impl/crates/spec-trait-bin/src/main.rs
@@ -111,6 +111,13 @@ impl<T> Foo<T> for ZST {
     }
 }
 
+#[when(T = fn(&u8) -> &u8)]
+impl<T> Foo<T> for ZST {
+    fn foo(&self, _x: T) {
+        println!("Foo impl ZST where T is a function pointer from &u8 to &u8");
+    }
+}
+
 // ZST - Foo2
 
 impl<T, U> Foo2<T, U> for ZST {
@@ -286,6 +293,7 @@ fn main() {
     spec! { zst.foo(&1i32); ZST; [&i32] } // -> "Foo impl ZST where T is &'a _"
     spec! { zst.foo(1i32); ZST; [i32]; i32: Bar  } // -> "Foo impl ZST where T implements Bar"
     spec! { zst.foo(1i64); ZST; [i64]; i64: Bar + FooBar } // -> "Foo impl ZST where T implements Bar and FooBar"
+    spec! { zst.foo(|x: &u8| x); ZST; [fn(&u8) -> &u8] } // -> "Foo impl ZST where T is a function pointer from &u8 to &u8"
     spec! { zst.foo(1i8); ZST; [i8] } // -> "Default Foo for ZST"
     println!();
 

From 9fe960e896ab7c73ba6f46121f7af50ec2deadbf Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 14:31:31 +0100
Subject: [PATCH 08/12] chore: removed unused file

---
 spec-trait-inst/tests/scripts/analysis.ipynb | 591 -------------------
 1 file changed, 591 deletions(-)
 delete mode 100644 spec-trait-inst/tests/scripts/analysis.ipynb

diff --git a/spec-trait-inst/tests/scripts/analysis.ipynb b/spec-trait-inst/tests/scripts/analysis.ipynb
deleted file mode 100644
index d20f0c7..0000000
--- a/spec-trait-inst/tests/scripts/analysis.ipynb
+++ /dev/null
@@ -1,591 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "ce1a4aa7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "import numpy as np\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "6e3bf9b2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>url</th>\n",
-       "      <th>crate_name</th>\n",
-       "      <th>members_count</th>\n",
-       "      <th>dependencies_count</th>\n",
-       "      <th>crates_io_downloads</th>\n",
-       "      <th>github_stars</th>\n",
-       "      <th>analysis_total_time_seconds</th>\n",
-       "      <th>analysis_peak_rss_MB</th>\n",
-       "      <th>total_fns</th>\n",
-       "      <th>total_traits</th>\n",
-       "      <th>...</th>\n",
-       "      <th>macro_fn_already_specialized_fns</th>\n",
-       "      <th>macro_fn_already_specialized_traits</th>\n",
-       "      <th>macro_fn_newly_specializable_fn_pairs</th>\n",
-       "      <th>macro_fn_newly_specializable_trait_pairs</th>\n",
-       "      <th>macro_fn_newly_specializable_fns</th>\n",
-       "      <th>macro_fn_newly_specializable_traits</th>\n",
-       "      <th>macro_fn_already_specializable_unspecialized_fn_pairs</th>\n",
-       "      <th>macro_fn_already_specializable_unspecialized_trait_pairs</th>\n",
-       "      <th>macro_fn_already_specializable_unspecialized_fns</th>\n",
-       "      <th>macro_fn_already_specializable_unspecialized_traits</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>https://github.com/dtolnay/syn</td>\n",
-       "      <td>syn</td>\n",
-       "      <td>10</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1169638606</td>\n",
-       "      <td>3215</td>\n",
-       "      <td>167.117</td>\n",
-       "      <td>200</td>\n",
-       "      <td>11140</td>\n",
-       "      <td>129</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>41484</td>\n",
-       "      <td>15</td>\n",
-       "      <td>1188</td>\n",
-       "      <td>12</td>\n",
-       "      <td>162</td>\n",
-       "      <td>15</td>\n",
-       "      <td>78</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>https://github.com/rust-lang/hashbrown</td>\n",
-       "      <td>hashbrown</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13</td>\n",
-       "      <td>948648240</td>\n",
-       "      <td>2799</td>\n",
-       "      <td>0.767</td>\n",
-       "      <td>106</td>\n",
-       "      <td>727</td>\n",
-       "      <td>34</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>https://github.com/bitflags/bitflags</td>\n",
-       "      <td>bitflags</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>871628003</td>\n",
-       "      <td>1068</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>90</td>\n",
-       "      <td>161</td>\n",
-       "      <td>26</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>18</td>\n",
-       "      <td>9</td>\n",
-       "      <td>20</td>\n",
-       "      <td>8</td>\n",
-       "      <td>9</td>\n",
-       "      <td>8</td>\n",
-       "      <td>18</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>https://github.com/dtolnay/proc-macro2</td>\n",
-       "      <td>proc-macro2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>6</td>\n",
-       "      <td>806768972</td>\n",
-       "      <td>880</td>\n",
-       "      <td>3.200</td>\n",
-       "      <td>96</td>\n",
-       "      <td>460</td>\n",
-       "      <td>16</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>https://github.com/dtolnay/quote</td>\n",
-       "      <td>quote</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>788009739</td>\n",
-       "      <td>1485</td>\n",
-       "      <td>3.563</td>\n",
-       "      <td>89</td>\n",
-       "      <td>395</td>\n",
-       "      <td>32</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 135 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                      url   crate_name  members_count  \\\n",
-       "0          https://github.com/dtolnay/syn          syn             10   \n",
-       "1  https://github.com/rust-lang/hashbrown    hashbrown              1   \n",
-       "2    https://github.com/bitflags/bitflags     bitflags              1   \n",
-       "3  https://github.com/dtolnay/proc-macro2  proc-macro2              2   \n",
-       "4        https://github.com/dtolnay/quote        quote              1   \n",
-       "\n",
-       "   dependencies_count  crates_io_downloads  github_stars  \\\n",
-       "0                  10           1169638606          3215   \n",
-       "1                  13            948648240          2799   \n",
-       "2                  11            871628003          1068   \n",
-       "3                   6            806768972           880   \n",
-       "4                   3            788009739          1485   \n",
-       "\n",
-       "   analysis_total_time_seconds  analysis_peak_rss_MB  total_fns  total_traits  \\\n",
-       "0                      167.117                   200      11140           129   \n",
-       "1                        0.767                   106        727            34   \n",
-       "2                        0.058                    90        161            26   \n",
-       "3                        3.200                    96        460            16   \n",
-       "4                        3.563                    89        395            32   \n",
-       "\n",
-       "   ...  macro_fn_already_specialized_fns  macro_fn_already_specialized_traits  \\\n",
-       "0  ...                                 0                                    0   \n",
-       "1  ...                                 0                                    0   \n",
-       "2  ...                                 0                                    0   \n",
-       "3  ...                                 0                                    0   \n",
-       "4  ...                                 0                                    0   \n",
-       "\n",
-       "   macro_fn_newly_specializable_fn_pairs  \\\n",
-       "0                                  41484   \n",
-       "1                                      0   \n",
-       "2                                     18   \n",
-       "3                                      0   \n",
-       "4                                      0   \n",
-       "\n",
-       "   macro_fn_newly_specializable_trait_pairs  macro_fn_newly_specializable_fns  \\\n",
-       "0                                        15                              1188   \n",
-       "1                                         0                                 0   \n",
-       "2                                         9                                20   \n",
-       "3                                         0                                 0   \n",
-       "4                                         0                                 0   \n",
-       "\n",
-       "   macro_fn_newly_specializable_traits  \\\n",
-       "0                                   12   \n",
-       "1                                    0   \n",
-       "2                                    8   \n",
-       "3                                    0   \n",
-       "4                                    0   \n",
-       "\n",
-       "   macro_fn_already_specializable_unspecialized_fn_pairs  \\\n",
-       "0                                                162       \n",
-       "1                                                  0       \n",
-       "2                                                  9       \n",
-       "3                                                  0       \n",
-       "4                                                  0       \n",
-       "\n",
-       "   macro_fn_already_specializable_unspecialized_trait_pairs  \\\n",
-       "0                                                 15          \n",
-       "1                                                  0          \n",
-       "2                                                  8          \n",
-       "3                                                  0          \n",
-       "4                                                  0          \n",
-       "\n",
-       "   macro_fn_already_specializable_unspecialized_fns  \\\n",
-       "0                                                78   \n",
-       "1                                                 0   \n",
-       "2                                                18   \n",
-       "3                                                 0   \n",
-       "4                                                 0   \n",
-       "\n",
-       "   macro_fn_already_specializable_unspecialized_traits  \n",
-       "0                                                  9    \n",
-       "1                                                  0    \n",
-       "2                                                  8    \n",
-       "3                                                  0    \n",
-       "4                                                  0    \n",
-       "\n",
-       "[5 rows x 135 columns]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_90 = pd.read_csv('summary-90.csv')\n",
-    "df_99 = pd.read_csv('summary-99.csv')\n",
-    "df_90.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "e27bedab",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "total_fns = df_90['total_fns']\n",
-    "total_traits = df_90['total_traits']\n",
-    "spec_fns_90 = df_90['all_fn_specializable_fns'] / total_fns\n",
-    "spec_fns_99 = df_99['all_fn_specializable_fns'] / total_fns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "id": "fb0a1cc7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10, 6))\n",
-    "plt.scatter(total_fns, spec_fns_90, color='skyblue')\n",
-    "plt.scatter(total_fns, spec_fns_99, color='coral')\n",
-    "plt.title('Proportion of Specializable Functions vs Total Functions')\n",
-    "plt.xlabel('Total Functions')\n",
-    "plt.ylabel('Specializable Functions')\n",
-    "plt.grid(True)\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.legend(['90% Threshold', '99% Threshold'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "ca4b0552",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(8, 6))\n",
-    "sns.kdeplot(x=total_fns, y=spec_fns_90, cmap=\"Blues\", fill=True, bw_adjust=.5)\n",
-    "plt.title('Density of Specializable Functions at 90% Threshold')\n",
-    "plt.xlabel('Total Functions')\n",
-    "plt.ylabel('Proportion of Specializable Functions')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.grid(False)\n",
-    "plt.ylim(bottom=-0.09)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "44aa1c5c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_10446/2290578906.py:4: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.boxplot(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 400x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.set_style(\"whitegrid\")\n",
-    "\n",
-    "plt.figure(figsize=(4, 6))\n",
-    "sns.boxplot(\n",
-    "    x=['90% Threshold'] * len(spec_fns_90) + ['99% Threshold'] * len(spec_fns_99),\n",
-    "    y=list(spec_fns_90) + list(spec_fns_99),\n",
-    "    palette={'90% Threshold': 'skyblue', '99% Threshold': 'coral'}\n",
-    ")\n",
-    "\n",
-    "plt.title('Distribution of Specializable Functions')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.ylim(0, 1)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "bb2f872f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bare_fns_90 = df_90['bare_fn_specializable_fns'] / df_90['total_bare_fns']\n",
-    "bare_fns_99 = df_99['bare_fn_specializable_fns'] / df_99['total_bare_fns']\n",
-    "trait_fns_90 = df_90['trait_fn_specializable_fns'] / df_90['total_trait_fns']\n",
-    "trait_fns_99 = df_99['trait_fn_specializable_fns'] / df_99['total_trait_fns']\n",
-    "trait_impl_fns_90 = df_90['trait_impl_fn_specializable_fns'] / df_90['total_trait_impl_fns']\n",
-    "trait_impl_fns_99 = df_99['trait_impl_fn_specializable_fns'] / df_99['total_trait_impl_fns']\n",
-    "inherent_impl_fns_90 = df_90['inherent_impl_fn_specializable_fns'] / df_90['total_inherent_impl_fns']\n",
-    "inherent_impl_fns_99 = df_99['inherent_impl_fn_specializable_fns'] / df_99['total_inherent_impl_fns']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "979879b1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.set_style(\"whitegrid\")\n",
-    "\n",
-    "labels = []\n",
-    "thresholds = []\n",
-    "values = []\n",
-    "\n",
-    "for label, vals_90, vals_99 in [\n",
-    "    ('Bare functions', bare_fns_90, bare_fns_99),\n",
-    "    ('Trait functions', trait_fns_90, trait_fns_99),\n",
-    "    ('Trait impl functions', trait_impl_fns_90, trait_impl_fns_99),\n",
-    "    ('Inherent impl functions', inherent_impl_fns_90, inherent_impl_fns_99),\n",
-    "]:\n",
-    "    labels += [label] * (len(vals_90) + len(vals_99))\n",
-    "    thresholds += ['90% Threshold'] * len(vals_90) + ['99% Threshold'] * len(vals_99)\n",
-    "    values += list(vals_90) + list(vals_99)\n",
-    "\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "sns.boxplot(\n",
-    "    x=labels,\n",
-    "    y=values,\n",
-    "    hue=thresholds,\n",
-    "    palette={\n",
-    "        '90% Threshold': 'skyblue',\n",
-    "        '99% Threshold': 'coral',\n",
-    "    },\n",
-    ")\n",
-    "\n",
-    "plt.title('Percentage of Specializable Functions by Kind and Threshold')\n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.ylabel('Specializable Functions')\n",
-    "plt.ylim(0, 1)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d5976782",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "perc = [\n",
-    "    (df_90['total_trait_impl_fns'] / df_90['total_fns']).mean(),\n",
-    "    (df_90['total_inherent_impl_fns'] / df_90['total_fns']).mean(),\n",
-    "    (df_90['total_bare_fns'] / df_90['total_fns']).mean(),\n",
-    "    (df_90['total_trait_fns'] / df_90['total_fns']).mean(), \n",
-    "]\n",
-    "\n",
-    "plt.figure(figsize=(6, 6))\n",
-    "plt.pie(\n",
-    "    perc, \n",
-    "    autopct='%1.0f%%',\n",
-    "    textprops={'fontsize': 14},\n",
-    "    wedgeprops=dict(width=0.3, alpha=0.8),\n",
-    "    colors=['skyblue', 'coral', 'lightgreen', 'goldenrod']\n",
-    ")\n",
-    "plt.title('Distribution of Function Kinds')\n",
-    "plt.legend(['Trait Impl Fns', 'Inherent Impl Fns', 'Bare Fns', 'Trait Fns'], loc='upper left')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "6fab938f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "avg_already_spec_90 = (df_90['all_fn_already_specializable_fns'] / total_fns).mean()\n",
-    "avg_newly_spec_90 = (df_90['all_fn_newly_specializable_fns'] / total_fns).mean()\n",
-    "avg_already_spec_99 = (df_99['all_fn_already_specializable_fns'] / total_fns).mean()\n",
-    "avg_newly_spec_99 = (df_99['all_fn_newly_specializable_fns'] / total_fns).mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 121,
-   "id": "6028c07b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 300x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "x_position = [0, 1]\n",
-    "plt.figure(figsize=(3, 5)) \n",
-    "\n",
-    "sns.barplot(\n",
-    "    x=x_position,\n",
-    "    y=[avg_already_spec_90, avg_already_spec_99],\n",
-    "    label='Already Spec.',\n",
-    "    color='skyblue'\n",
-    ")\n",
-    "sns.barplot(\n",
-    "    x=x_position,\n",
-    "    y=[avg_newly_spec_90, avg_newly_spec_99],\n",
-    "    label='Newly Spec.',\n",
-    "    color='coral',\n",
-    "    bottom=[avg_already_spec_90, avg_already_spec_99] \n",
-    ")\n",
-    "\n",
-    "plt.title('Specializable Functions')\n",
-    "plt.ylim(0, 0.3) \n",
-    "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: '{:.0%}'.format(y)))\n",
-    "plt.xticks(x_position, ['90% Threshold', '99% Threshold'])\n",
-    "plt.legend()\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

From 53628fbf07449d32369d1d3524d2a1ea8d9ebf71 Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 14:38:44 +0100
Subject: [PATCH 09/12] chore: minor improvement

---
 .../src/analysis/sti_analysis/compare.rs      | 19 ++++++++-----------
 1 file changed, 8 insertions(+), 11 deletions(-)

diff --git a/spec-trait-inst/src/analysis/sti_analysis/compare.rs b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
index b48b4b5..84d8260 100644
--- a/spec-trait-inst/src/analysis/sti_analysis/compare.rs
+++ b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
@@ -74,22 +74,19 @@ impl<'tcx, 'a> STIComparison<'tcx, 'a> {
     /// Get pairs of specializable functions along with their similarity score.
     pub fn get_specializable_fns(&self) -> Vec<SpecializablePair<'a>> {
         let mut specializable: Vec<SpecializablePair> = vec![];
+        let mut seen = HashSet::new();
         let fns = self.get_fns_with_tree();
         for (i, (fn_a, tree_a)) in fns.iter().enumerate() {
             log::trace!("processing function {}/{}", i + 1, fns.len());
             for (fn_b, tree_b) in fns.iter().skip(i + 1) {
-                if specializable_fn_heuristic(fn_a, fn_b) {
+                if specializable_fn_heuristic(fn_a, fn_b) && !seen.contains(&(fn_a.id, fn_b.id)) {
                     if let Some(similarity) = self.is_specializable(tree_a, tree_b) {
-                        if !specializable.iter().any(|pair| {
-                            pair.fn_a.id == fn_a.id && pair.fn_b.id == fn_b.id
-                                || pair.fn_a.id == fn_b.id && pair.fn_b.id == fn_a.id
-                        }) {
-                            specializable.push(SpecializablePair {
-                                fn_a,
-                                fn_b,
-                                similarity,
-                            });
-                        }
+                        seen.insert((fn_a.id, fn_b.id));
+                        specializable.push(SpecializablePair {
+                            fn_a,
+                            fn_b,
+                            similarity,
+                        });
                     }
                 }
             }

From d7bf33541f527ae91f2784b8a14db8e78a457d60 Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sat, 3 Jan 2026 14:39:47 +0100
Subject: [PATCH 10/12] chore: minor fix

---
 spec-trait-inst/src/analysis/sti_analysis/compare.rs | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spec-trait-inst/src/analysis/sti_analysis/compare.rs b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
index 84d8260..60cb2b2 100644
--- a/spec-trait-inst/src/analysis/sti_analysis/compare.rs
+++ b/spec-trait-inst/src/analysis/sti_analysis/compare.rs
@@ -73,7 +73,7 @@ impl<'tcx, 'a> STIComparison<'tcx, 'a> {
 
     /// Get pairs of specializable functions along with their similarity score.
     pub fn get_specializable_fns(&self) -> Vec<SpecializablePair<'a>> {
-        let mut specializable: Vec<SpecializablePair> = vec![];
+        let mut specializable = vec![];
         let mut seen = HashSet::new();
         let fns = self.get_fns_with_tree();
         for (i, (fn_a, tree_a)) in fns.iter().enumerate() {

From 140cd6277639275d65d472758b071723e998080e Mon Sep 17 00:00:00 2001
From: FedericoBruzzone <federico.bruzzone.i@gmail.com>
Date: Sat, 3 Jan 2026 15:50:43 +0100
Subject: [PATCH 11/12] Clippy happy and rust-toolchain 2026-01-01

Signed-off-by: FedericoBruzzone <federico.bruzzone.i@gmail.com>
---
 .github/workflows/ci.yml                                      | 2 +-
 spec-trait-inst/Cargo.toml                                    | 2 +-
 spec-trait-inst/README.md                                     | 4 ++--
 spec-trait-inst/rust-toolchain.toml                           | 2 +-
 spec-trait-inst/src/analysis/sti_analysis/tree.rs             | 1 -
 spec-trait-inst/src/lib.rs                                    | 2 +-
 spec-trait-inst/tests/test_workspaces.rs                      | 2 +-
 .../tests/workspaces/first/expected_output.plug_version       | 2 +-
 8 files changed, 8 insertions(+), 9 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a583618..1705623 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -13,7 +13,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest] # windows-latest
-        toolchain: [nightly-2025-11-17, nightly]
+        toolchain: [nightly-2026-01-01, nightly]
     runs-on: ${{ matrix.os }}
     steps:
       - uses: actions/checkout@v4
diff --git a/spec-trait-inst/Cargo.toml b/spec-trait-inst/Cargo.toml
index b7a5a04..35cb743 100644
--- a/spec-trait-inst/Cargo.toml
+++ b/spec-trait-inst/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "spec-trait-inst"
-version = "0.1.0-nightly-2025-11-17"
+version = "0.1.0-nightly-2026-01-01"
 edition = "2021"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
diff --git a/spec-trait-inst/README.md b/spec-trait-inst/README.md
index a107c2f..6d4ac1b 100644
--- a/spec-trait-inst/README.md
+++ b/spec-trait-inst/README.md
@@ -11,8 +11,8 @@ Note that for macOS, the `LD_LIBRARY_PATH` should be replaced with `DYLD_LIBRARY
 Setup the nightly toolchain:
 
 ```bash
-rustup toolchain install nightly-2025-11-17
-rustup component add --toolchain nightly-2025-11-17 rust-src rustc-dev llvm-tools-preview miri rust-analyzer clippy
+rustup toolchain install nightly-2026-01-01
+rustup component add --toolchain nightly-2026-01-01 rust-src rustc-dev llvm-tools-preview miri rust-analyzer clippy
 ```
 
 ### Test
diff --git a/spec-trait-inst/rust-toolchain.toml b/spec-trait-inst/rust-toolchain.toml
index 0ed75ac..9465c99 100644
--- a/spec-trait-inst/rust-toolchain.toml
+++ b/spec-trait-inst/rust-toolchain.toml
@@ -1,5 +1,5 @@
 [toolchain]
-channel = "nightly-2025-11-17" # "nightly-2025-02-20"
+channel = "nightly-2026-01-01" #"nightly-2025-11-17" # "nightly-2025-02-20"
 # channel = "stage1"
 components = [
     "rust-src",
diff --git a/spec-trait-inst/src/analysis/sti_analysis/tree.rs b/spec-trait-inst/src/analysis/sti_analysis/tree.rs
index ba61d19..8eff9f2 100644
--- a/spec-trait-inst/src/analysis/sti_analysis/tree.rs
+++ b/spec-trait-inst/src/analysis/sti_analysis/tree.rs
@@ -285,7 +285,6 @@ impl<'tcx, 'a> BodyTree<'tcx, 'a> {
         match &expr.kind {
             PatExprKind::Lit { lit, negated: _ } => self.lit_to_string(lit.node),
             PatExprKind::Path(qpath) => self.qpath_to_string(qpath),
-            _ => format!("{:?}", expr.kind),
         }
     }
 
diff --git a/spec-trait-inst/src/lib.rs b/spec-trait-inst/src/lib.rs
index 1ce919c..1a42027 100644
--- a/spec-trait-inst/src/lib.rs
+++ b/spec-trait-inst/src/lib.rs
@@ -31,7 +31,7 @@ pub struct CliArgs {
     #[clap(long)]
     color_log: bool,
 
-    /// Print the AST of the crate
+    // Print the AST of the crate
     #[clap(long)]
     print_crate: bool,
 
diff --git a/spec-trait-inst/tests/test_workspaces.rs b/spec-trait-inst/tests/test_workspaces.rs
index b7bed75..0372992 100644
--- a/spec-trait-inst/tests/test_workspaces.rs
+++ b/spec-trait-inst/tests/test_workspaces.rs
@@ -9,7 +9,7 @@ mod test_workspaces {
     #[test]
     fn test_version_output() -> Result<(), String> {
         let (output, _) = run_with_cargo_bin(FOLDER, None, &["-V"])?;
-        assert_eq!(output, "0.1.0-nightly-2025-11-17\n");
+        assert_eq!(output, "0.1.0-nightly-2026-01-01\n");
         Ok(())
     }
 
diff --git a/spec-trait-inst/tests/workspaces/first/expected_output.plug_version b/spec-trait-inst/tests/workspaces/first/expected_output.plug_version
index c3d9119..8f7abc3 100644
--- a/spec-trait-inst/tests/workspaces/first/expected_output.plug_version
+++ b/spec-trait-inst/tests/workspaces/first/expected_output.plug_version
@@ -1 +1 @@
-0.1.0-nightly-2025-11-17
+0.1.0-nightly-2026-01-01

From 7be16d4f270023fcbf0e10071556684ef48602ab Mon Sep 17 00:00:00 2001
From: Ceratosenzaf <ceratosenzaf@gmail.com>
Date: Sun, 4 Jan 2026 18:22:33 +0100
Subject: [PATCH 12/12] fix: specialization with type with multiple generics

---
 spec-trait-impl/crates/spec-trait-utils/src/impls.rs | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spec-trait-impl/crates/spec-trait-utils/src/impls.rs b/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
index 404787e..2b200a9 100644
--- a/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
+++ b/spec-trait-impl/crates/spec-trait-utils/src/impls.rs
@@ -119,7 +119,7 @@ impl ImplBody {
             Some(c) => format!(
                 "{}_{}_{}",
                 self.trait_name,
-                to_hash(&self.type_name),
+                to_hash(&self.type_name.replace(" ", "")),
                 to_hash(c)
             ),
             None => self.trait_name.to_owned(),