From 78a6b710c05629d29a23f0c2d2812b5850d57bda Mon Sep 17 00:00:00 2001
From: Niko Papadopoulos <nikolaos.papadopoulos@embl.de>
Date: Wed, 21 Dec 2022 15:37:55 +0100
Subject: [PATCH] fixed EC calculation for remote species; answered top N
 morpholog question.

---
 analysis/revision-remote_species.ipynb        |  58 +-
 .../revision-second_best_morpholog-run.ipynb  | 530 ++++++++++++++++--
 2 files changed, 499 insertions(+), 89 deletions(-)

diff --git a/analysis/revision-remote_species.ipynb b/analysis/revision-remote_species.ipynb
index 3de2f25..b267f57 100644
--- a/analysis/revision-remote_species.ipynb
+++ b/analysis/revision-remote_species.ipynb
@@ -74,13 +74,22 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "8d4c0fd8-6c3c-4e8f-8e3d-36b4abc2a40a",
+   "id": "98c5d550-f93e-4d80-951d-67a81c5035d6",
    "metadata": {},
    "outputs": [],
    "source": [
+    "def string_cumsum(x):\n",
+    "    lis = x.split(\".\")\n",
+    "    res = [lis[0]]\n",
+    "    total = lis[0]\n",
+    "    for x in lis[1:]:\n",
+    "        total = total + \".\" + x\n",
+    "        res.append(total)\n",
+    "    return np.array(res)\n",
+    "\n",
     "def compare_EC(x, slot1=\"query_EC\", slot2=\"target_EC\"):\n",
-    "    query = [np.array(ec.split(\".\")) for ec in x[slot1].split(\",\")]\n",
-    "    target = [np.array(ec.split(\".\")) for ec in x[slot2].split(\",\")]\n",
+    "    query = [string_cumsum(ec) for ec in x[slot1].split(\",\")]\n",
+    "    target = [string_cumsum(ec) for ec in x[slot2].split(\",\")]\n",
     "    max_agreement = 0\n",
     "    for q in query:\n",
     "        for t in target:\n",
@@ -154,18 +163,9 @@
    "execution_count": 5,
    "id": "22f00eeb-722e-4820-a797-18e76e50de82",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/md/d6lwwbv97xb6g6ddypntnprh0000gp/T/ipykernel_488/2997960917.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support skipfooter; you can avoid this warning by specifying engine='python'.\n",
-      "  yeast_annot = pd.read_csv(\"../data/eggnog/S_cerevisiae_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "yeast_annot = pd.read_csv(\"../data/eggnog/S_cerevisiae_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n",
+    "yeast_annot = pd.read_csv(\"../data/eggnog/S_cerevisiae_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3, engine=\"python\")\n",
     "yeast_annot[\"max_annot_lvl\"].unique()\n",
     "yeast_annot[\"id\"] = yeast_annot[\"#query\"].str.split(\"|\").str[1]\n",
     "\n",
@@ -229,18 +229,9 @@
    "execution_count": 8,
    "id": "d4a421da-3d5d-47f3-90eb-f77441d929d1",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/md/d6lwwbv97xb6g6ddypntnprh0000gp/T/ipykernel_488/2273340934.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support skipfooter; you can avoid this warning by specifying engine='python'.\n",
-      "  human_annot = pd.read_csv(\"../data/eggnog/H_sapiens_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "human_annot = pd.read_csv(\"../data/eggnog/H_sapiens_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n",
+    "human_annot = pd.read_csv(\"../data/eggnog/H_sapiens_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3, engine=\"python\")\n",
     "human_annot[\"id\"] = human_annot[\"#query\"].str.split(\"|\").str[1]"
    ]
   },
@@ -252,7 +243,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -270,18 +261,9 @@
    "execution_count": 10,
    "id": "ff056da6-2246-41c0-85cd-01eda6589dda",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/md/d6lwwbv97xb6g6ddypntnprh0000gp/T/ipykernel_488/2842444695.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support skipfooter; you can avoid this warning by specifying engine='python'.\n",
-      "  arabidopsis_annot = pd.read_csv(\"../data/eggnog/A_thaliana_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "arabidopsis_annot = pd.read_csv(\"../data/eggnog/A_thaliana_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3)\n",
+    "arabidopsis_annot = pd.read_csv(\"../data/eggnog/A_thaliana_annotations.tsv\", sep=\"\\t\", skiprows=4, skipfooter=3, engine=\"python\")\n",
     "arabidopsis_annot[\"max_annot_lvl\"].unique()\n",
     "arabidopsis_annot[\"id\"] = arabidopsis_annot[\"#query\"].str.split(\"|\").str[1]\n",
     "\n",
@@ -348,7 +330,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/analysis/revision-second_best_morpholog-run.ipynb b/analysis/revision-second_best_morpholog-run.ipynb
index 2381431..114266e 100644
--- a/analysis/revision-second_best_morpholog-run.ipynb
+++ b/analysis/revision-second_best_morpholog-run.ipynb
@@ -10,7 +10,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2022-12-20 16:48\n"
+      "2022-12-21 15:28\n"
      ]
     }
    ],
@@ -30,15 +30,15 @@
    "id": "3dc6274a-98d3-42ad-966d-1c6ea2481d8e",
    "metadata": {},
    "source": [
-    "# Annotation of second best hit\n",
+    "# Functional conservation among top morphologs?\n",
     "\n",
-    "The reviewers noted that in the MorF pipeline we used the top hit to transfer functional annotation for each _Spongilla_ protein. They wondered if there was agreement in the functional annotation within between the morphologs (\"no meaningful difference in score\") of each protein. While we offered anecdotal evidence that the top hits all were within the same EggNOG orthogroup, we didn't back this up with extra analysis. This was rightfully brought up, and we are setting out to rectify it here.\n",
+    "The reviewers noted that in the MorF pipeline we used the top hit to transfer functional annotation for each _Spongilla_ protein. They wondered if there was agreement in the functional annotation within between the morphologs (\"no meaningful difference in score\") of each protein, and how often it happened that the first and second best morphologs would have a small difference in score but different functions. These questions are straightforward but are non-trivial to answer.\n",
     "\n",
-    "Unfortunately this analysis is rather annoying to set up and execute; it requires us to define \"top hits\" in a meaningful way, something that's not always straightforward. Second, it requires us to get the full orthogroup assignments for a (very) large number of proteins, and, to the best of our knowledge, there is no programmatic way to get that information from the EggNOG database. The best workaround we found so far is to identify the proteins we want functional information for, retrieve their sequences from UniProt, submit these sequences to emapper, retrieve the results, and keep the best hit per sequence, which is going to be the identity match of the sequence to itself.\n",
+    "First, we need to define \"top hits\" in a meaningful way. It can't just be the top N scoring morphologs, since the differences in bit score may differ wildly between queries, or drop off very quickly between one rank and the next. Similarly, we can't use a global cut-off, as the morphologs of different query proteins are in completely different bit score ranges, also depending on the respective alignment length. The thresholding has to happen in a query-specific way, but with a strategy that is general enough to be applied to all queries.\n",
     "\n",
-    "This is a lamentably circuitous way of getting information that, in some way, is definitely included in the EggNOG databases; unfortunately, we cannot think of a better way of accessing it.\n",
+    "Second, answering the question requires us to get functional annotations for a (very) large number of proteins. To keep things comparable to the manuscript this would have to happen via EggNOG orthogroups and their related annotation. Unfortunately, to the best of our knowledge, there is no programmatic way to get that information from the EggNOG database. The best workaround we found so far is to identify the proteins we want functional information for, retrieve their sequences from UniProt, submit these sequences to emapper, retrieve the results, and keep the best hit per sequence, which is going to be the identity match of the sequence to itself. This is a lamentably circuitous way of getting information that, in some way, is definitely included in the EggNOG databases; unfortunately, we cannot think of a better way of accessing it.\n",
     "\n",
-    "After going through this, it is finally time to assess how well MorF does!"
+    "We will again use the EC number as an easily accessible and easily comparable descriptor of function, knowing that it will restrict our comparisons to a limited subset of query proteins and their morphologs."
    ]
   },
   {
@@ -86,7 +86,7 @@
    "id": "373734c5-1dc9-40c5-a704-72ea3fc3275c",
    "metadata": {},
    "source": [
-    "Read the annotations, keep the best hit per query, and concatenate into one big table:"
+    "Read the annotations, keep the best hit per query, and concatenate into one big table. Not all of UniProt is in Emapper, so drop cases with less than stellar e-values:"
    ]
   },
   {
@@ -97,7 +97,7 @@
    "outputs": [],
    "source": [
     "res = []\n",
-    "for f in glob.glob(\"../data/eggnog_fastas/*\"):\n",
+    "for f in glob.glob(\"../data/eggnog_fastas/*.tsv\"):\n",
     "    annot_fragment = pd.read_csv(f, sep=\"\\t\", skiprows=4, skipfooter=3, engine=\"python\")\n",
     "    annot_fragment[\"id\"] = annot_fragment[\"#query\"].str.split(\"|\").str[1]\n",
     "    beyond_reasonable_doubt = annot_fragment[annot_fragment[\"evalue\"] < 1e-100]\n",
@@ -113,6 +113,14 @@
     "annot = pd.concat(res)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "c2a44b33-58e7-4343-a8dd-3b39b3f7b852",
+   "metadata": {},
+   "source": [
+    "Merge with our prediction matrix:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -123,6 +131,14 @@
     "filtered = filtered.join(annot, on=\"uniprot\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f9c098ac-d2d9-401e-8301-3294e399dee8",
+   "metadata": {},
+   "source": [
+    "Slim down the matrix by dropping unnecessary columns and singleton rows:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 6,
@@ -133,9 +149,53 @@
     "informative_columns = [\"query\", \"bit score\", \"uniprot\", \"eggNOG_OGs\", \"Preferred_name\", \"EC\"]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6a3d5a50-63d0-45d1-80d2-90f74e53db9d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# slim = filtered[informative_columns]\n",
+    "filtered[\"EC\"].replace(\"-\", None, inplace=True)\n",
+    "has_EC = ~filtered[\"EC\"].isnull()\n",
+    "slim = filtered[has_EC][informative_columns]\n",
+    "is_not_singleton = slim[\"query\"].duplicated(keep=False)\n",
+    "slim = slim[is_not_singleton]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 8,
+   "id": "2e0a4e94-b5df-4d17-9073-c7bf38c423a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((2115799, 35), (334889, 6))"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered.shape, slim.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b60844da-3c09-48c5-aa38-8f153a86ee9e",
+   "metadata": {},
+   "source": [
+    "Define functions to compare EC numbers and score entire columns:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "id": "e233f1a1-2eed-4e90-8270-bb2cd2f35d7e",
    "metadata": {},
    "outputs": [],
@@ -152,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 10,
    "id": "9a84ff50-3173-4993-93c3-c7819efa54d8",
    "metadata": {},
    "outputs": [],
@@ -171,7 +231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "id": "aeab3f8a-7ad1-4707-af1a-39fe2aa2543c",
    "metadata": {},
    "outputs": [],
@@ -184,7 +244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 12,
    "id": "cc2ac792-c299-483c-a855-10e1b65c6ff0",
    "metadata": {},
    "outputs": [],
@@ -199,7 +259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "37bdba39-2219-48d6-aeaf-10b27ae16542",
    "metadata": {},
    "outputs": [],
@@ -212,82 +272,131 @@
     "    return niko_agreement"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "a4030e33-a630-4f4c-a2a6-d46509464dbb",
+   "metadata": {},
+   "source": [
+    "Calculate the average EC overlap for the two thresholds:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "id": "6a3d5a50-63d0-45d1-80d2-90f74e53db9d",
+   "execution_count": 14,
+   "id": "d1835787-7889-4507-87ad-14b1c8c13ee9",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# slim = filtered[informative_columns]\n",
-    "filtered[\"EC\"].replace(\"-\", None, inplace=True)\n",
-    "has_EC = ~filtered[\"EC\"].isnull()\n",
-    "slim = filtered[has_EC][informative_columns]\n",
-    "is_not_singleton = slim[\"query\"].duplicated(keep=False)\n",
-    "slim = slim[is_not_singleton]"
+    "otsu = slim.groupby(\"query\").apply(otsu_score)\n",
+    "top10p = slim.groupby(\"query\").apply(top10p_score, cutoffs=cutoffs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "757a696c-416f-4547-82f7-d53646353d45",
+   "metadata": {},
+   "source": [
+    "Calculate how many morphologs pass the threshold for each query:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "id": "2e0a4e94-b5df-4d17-9073-c7bf38c423a3",
+   "execution_count": 15,
+   "id": "05d44b65-149f-4207-9595-1206564a7fb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def how_many_top10p(df, cutoffs):\n",
+    "    query = df.iloc[0][\"query\"]\n",
+    "    top10percent = df[\"bit score\"] > cutoffs[\"top10%\"].loc[query]\n",
+    "    return np.sum(top10percent)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "349e1a1d-c87e-48cd-b75a-5b61258c75c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top10p_howmany = slim.groupby(\"query\").apply(how_many_top10p, cutoffs=cutoffs)\n",
+    "otsu_howmany = slim.groupby(\"query\").apply(len)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0593421a-3973-44bb-84b9-d14069c9396b",
+   "metadata": {},
+   "source": [
+    "No need to exclude anything on the Otsu side, as each query has at least two morphologs (= we can ask how much top morphologs agree on the functional side)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d390a26f-50fa-44df-9159-6d664c8c6d88",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "((2115799, 35), (296755, 6))"
+       "0"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "filtered.shape, slim.shape"
+    "np.sum(otsu_howmany < 2)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "d1835787-7889-4507-87ad-14b1c8c13ee9",
+   "cell_type": "markdown",
+   "id": "db9b7ff1-cefb-43f7-b6e9-b8905bbed0db",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "otsu = slim.groupby(\"query\").apply(otsu_score)\n",
-    "top10p = slim.groupby(\"query\").apply(top10p_score, cutoffs=cutoffs)"
+    "On the other hand, the 90th percentile threshold is quite strict, so we'll end up with lots more singletons, which we should remove:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "id": "f31b4422-40ab-4bff-82e8-d094980e5cae",
+   "execution_count": 18,
+   "id": "f2985186-ca00-4ce8-a626-a0324017e757",
    "metadata": {},
    "outputs": [],
    "source": [
-    "exclude = top10p.isna()"
+    "exclude = top10p_howmany < 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3179e78c-1837-46cf-aa66-83539df190b7",
+   "metadata": {},
+   "source": [
+    "How do the two thresholds compare? Let's start with a good old scatter plot:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 19,
    "id": "cdbc5d61-82f6-41e3-a729-ffdc90438485",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x32dc70eb0>"
+       "<matplotlib.collections.PathCollection at 0x2cc05e740>"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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IYM5kbU5mRnhxLSHb9exPzfbVbtfoMGWzH/Vb3V26tvmc6Q2RZJ+xVM8oHIRUvw9A/MLb3zgm5KjO6WyMEFlo04EaTF62BT9ZvRv3ravAT1bvxuRlWxx1IZebnExMeLkn3qp0ZMPKDFKzCmul9kKtd39K21ezXaMzDJvxqD/N75OcrTkrLRlp316ozTCkf6pp2wo736n/PJhROAir517R4zOzjj85Gz+pcdT5y9c0RBaRivEQfrJg5AJgJi2jLsKc2Btfjp4hy9GzCu/64u94busR2eXFaLlQ69mfmu3Hzo4cjsBaf7Z31FU9zJg1d/Wcibh65AAAwLRLB+PV8mocbWzB8Ow0zCkegY+qG3HbCx/oTmNY/7RkXH3xADy/TXtdhiV7PThv8CKePyANky8egIdLCiNPRGLNKMxFRkoyyo80YN+xk9ilMjz/ozeMwsmW83hu6xeyyznt/GVjhMgCVk8DbyYjj9md1BtfipFgbuEhrVfmZ2P93hOaQ6NrfSevdn9at2/lkG25SK1qIrfmBlMw6du0idXVC+9V4dEbRqF/WnKvV4Za/eZHl2HShTmGGk+BZB/Ot0mHuFfjF9NG4ofjh0b+H9tYPnm2HU++LR+NV0z/1GTMuzof//Wpug7FTjp/+ZqGyAJWTwNvJiOP2Z3UG1+MVF8Yrf1etLzHNyNUvNqZde1uyIZJvVbIDaZgwdR8eKCcD7m6uue1fYYaIrmZgUjEUSN9MgJJXpwx2BABgNzgd6+KxF7l3vNa73JQ45+vzofP67Ftkkcj+GSEyAJ2TT+vh57H7E6caCuW2U+npGa6jR2ZkWvSaCM1M+s6SezroOhXQOOGZcnmQ6mujFh87SVYNO3iHnUsVbYej/zQ3zaFeXPU8HqACcOzAKifBkCN/mnJWDTtYgDK57QTz182Rogs4KY7Ey0TogH235l3dgnYfaQB5V/WA+h+/SAWJl3L0ym1rzCiL7i1zefQeKYtMsNudr8AcjOV+2BI9V8RC7keTPXjgRmXoOKrU+gSui9k4/K6Pw/PdKuGWWH+xbbT3tGFX79TieqG7j4e0wsG4fA3Z3D4m9Po6OyC1+NBW0cXfnvz5aisacaeoyeR7vdh9pgLcLjuNO7608c429ZhWQTXF9/7EndNvTAybDY6/Vv+5R/w2gdHsf1vf8eOw/WSDZGAD+gUPOgwocNnlwDcurocF/RPw/a/1Zk2fPeHYy/A7iMNkVmYb7kiD8/89bDoqzPAWU/WAI1z06xYsQIrVqxAdXU1AGD06NH45S9/ieuvv150+W3btuGaa67p9fmhQ4dw6aWXqk4k56YhtwnPC6J0ZxKPuSHUKnunEqt3VikOe7QzzsimAzV4aMP+Xo/sw7O+RqfpzxUncN+6CsVt3nn1CPxy9mjN6dDTD0VqvRvHhHpN4KYUC0NtPZg1AaLYdgJJXlOeFljN4wGuHTUIB040aypjt3NCnCBLJsp766234PP5cPHF3Y+C/vjHP+Kpp57Cvn37MHp075M53Bj5/PPPeyRi4MCB8PnUD9ViY4TcKPwIFhC/M3HKaBpA2+Pi528dj5LL7WmILPy2PKVEz0RafqQBP1m9W9W2tcxgKlVWama/NeuRfPQ+5Y4jvWlVux1ytnA933/tJRgxIM2WyS/VXr81dWCdPXs2SkpKcMkll+CSSy7Br371K/Tr1w+7d8uf8IMGDUJubm7kT0tDhMit5Dr1OakhoiXOiAfAk2/HP75IZ5eAxzceVFwuOvZJ+L25knDfETV5UtO3QWxbWmO5aCGVdr1p1bIdcrZwna376Bj+8fIhKL5I/azP8aZ7NE1nZyfWrVuHs2fPori4WHbZcePGIRQKYfr06di6davittva2tDc3Nzjj8iNZhWF8N7SaVg7fxKevWUs1s6fhPeWTnNMQwTQP7trPHX30WhTXC46bdGjJuRoyZPeUVJ6YrmoIZd2s0Z0WZV2ig8njdyTo7kD6/79+1FcXIxz586hX79+eOONN1BYKH7Ch0IhrFq1ChMmTEBbWxteffVVTJ8+Hdu2bcPUqVMl91FWVoYnnnhCa9KIHMnKGA9miOfsrnpp2V/0srOKQvjp1SPw4q5qU/ahd5RUbVOrqvX0EkuXWSO6nDDii4xzej1qbowUFBSgoqICp06dwvr163HHHXdg+/btog2SgoICFBQURP5fXFyM48eP4+mnn5ZtjJSWlmLJkiWR/zc3NyMvL09rUolIhXjN7mqElv3FLnttYa6qxoiafegZJbXpQA2efPuQqvX0EkuX2rTWn26THZnjhBFfZJzT61Hzaxq/34+LL74YEydORFlZGcaMGYNnn31W9fqTJk3C4cOHZZcJBALIzMzs8UdE1gj3rVDzJtkDe2b7vDI/G7mZAcXlxNKmJn9eD3DyrPJrIKVtxZZPuOOnVbPaytWH2np98u1DsvMlaTk+yHnsOme1MhyBVRAEtLUpn8Rh+/btQyjknPflRH1dvGZ3NcLn9eDxG5WH34qlTU3fkS4BuPe1fYoRWbVERo1Xx0+p+tASaVQuIm28ZpEl8zk1pogYTY2Rhx9+GDt37kR1dTX279+PRx55BNu2bcNtt90GoPv1yty5cyPLL1++HG+++SYOHz6MgwcPorS0FOvXr8eiRYvMzQURGRKP2V2NmlUUwsrbx0diJ0TLSkuWHZ47qyiE3986Hkq/x2pGl6gdJWV1x8+QivpQO/ur0ugaqe0EkhJzRpFQMAXP3zoO/3h5KK4NsNC34fNjR4GlB/SNQLX7nNVCU5+Rb775BnPmzEFNTQ2CwSAuv/xybNq0CTNmzAAA1NTU4NixY5Hl29vb8cADD+DEiRNITU3F6NGj8fbbb6OkpMTcXBCRYb1md00PRKI52hGfQC6NaiKwxspK98sGuNISkVUu9HmYVR0G7/2HizB55EDV9RFO6yu7qmT7rijlXyrPsRFYQ/1T8NR//81IFm0xZ9IwjB+WhdxgquhEdck+Dzo7BRgN8XbrlXmoP9OGNH8Sfjj2AiQleXudYw/OGtWjnLu6BNz2ovKsxY+UXIrCIUFHnbNqaWqMvPjii7Lfv/LKKz3+/+CDD+LBBx/UnCgisofTR/4A3Wm8euSAyJTzapk9X5BSWZndYTActXfJzALNFxif14MBGcp9bgD5/IvlOdXvw5M3XRb5/58rTmhKmxOEgil4/MaiyIR9977WO8Db+U5zXrh978Ic/GDsBbLLxJaz2jIdlJmCqy/Wdl44BeemISLbmDVnihrxni9IzwSEcgQYe/evNl+HvzmD8iMNuuvC6aM2xNxyxbC49fMZkB5A+ZEGTce8m+a60ouNESKyhVlzpqgV75lMtU5AqGTxtSMNlYvaxtFzW7/Ac1u/0F0XZjfC4mHEgDQA1vbz8QAIpiXjX/7vJ6ht1nbMu3EWXq0Ss/cRETlaeMhr7A+/3KgOKZ1dAsqPNODPFSdQfqRBsgOqlpEwZlHbgVSNYdlpkvkUK4PYzwBoGhWjpy4A9ZFvneTz2ma8uPNLvLNfW161ENA9YV10QwToLueFa/bi8Y0H8OLOL/HGvt716/N68OgNoyQbIoA7RszI0TRRnl04UR5R4gjPaCx1B6plRmM9T1fi/UQG6M7zc1u+wMu7qnCq9bzyCiKy0/094pWE0wygV37kZmsVW16KkdmlxWaBNuMJkRtlpSVHGiNqRR+TYses2HJOZMmsvXZhY4QocaidTXft/EmyHUSNzEgbz74qcmk1QuuFPbpcwqNidn3xdzy39Yjiukp1EYuz/H4nJ92P5T8eizkvfah5XQ+Au6bmY9WOKsmytGsWbbUsmbWXiMgoM0a1GJ2RNjxa4QdjL7B8JlOrOkVq3V50uQBA8UU5GDk4Q9W6WoYpc5bf73gA/OqHRWhs0ReBVwCweqd0Q8SuWbStwMYIEcWVGSMDzJqRNh6cNOttbLlYMUrDSfm1U066P/J0zsgoF7WxcdyOjREiiiut87uIMTtmiJWckIZY4TSZURdS205kSs/RstOTUV46PfKa0Or5fRKhzNkYIaK4MmNUi9E7erUjcMzgxNgP4TRZMcLIifk1S0nRYKydPwm/v3U8PBAvMw+AX//wMvijQuVbPb9PIpQ544yQaeLdKdAN5MqkL5dXeMhr7AiB3JiRAVJlZCTugtjIhP6pyfjnq0dg0bSRpteB0bgbHg9g1jADsXJRWxdquTHOiFrlXzZg+S3j4U/yYoVXfZl1dgkIpvpx59Uj8EbFCTSeVT+qxvtt/UuVpRtm5FWDo2nIFHYMl3Q6uTIBeg+v7IvlJdcgUzqmwiM2gJ4/1HKjaZRGefRPS8ZvfnSZ6XUglVYjokfTqBlZozTKyMzGcSKPpslO9+PXPyzCrKKQqjITO46z0/0YlxfE/3z2d9l9qRlNs2BqPkpLnBvXhUN7KW6MDLFMVHJlItczHuib5RVL7TGlpRGsFN8keh9W1IFUWm8cE8LrH3+lKQZFeF09cUbidWxtOlCDh9bv1x1XxcnUHiNKx/FdU/Ox8ZMaxfghZe9U4g87qgylxS5sjFBcmBnAKlGoveiJ6YvlFUvrMaX2jl5tfBOg+0JgRR1IpbWzS8DuLxtQfqQBXUIX1n30VY8AZ7Gy05Oxu/TaSL8Ese0CMPykw+jTkl2H61XNNutGSseI2uN4+79egz1HT6K2qRWNZ9uR3S+A3Myex4abf2PVXr/ZZ4QM0TLE0umzwZrFyNDGvlhesbQeU2pnGtYy4sCqOpBKq8/rwdUXD8DVFw9A+ZEGPL/tS9ntNJ49jz1HT0a2JbVdI+k349XrpItyErb/iNIxovY4jq5HI9tx+28GGyNkiJ4hlonecbO2qdXwNuI9VM/MOjG6LauG7WodcWDXcEkt+Vcqa711IfV6ITyPyj9fNRxDs9KQ3S+AQf0CgAeoP9PWax9mTxboNHJ1ZdZx7KZh7EawMUKGaB1imegdXTcdqMGTbx8yvJ14DtUzs042HajB4xsPora5LfJZbmYAj984WvW2rJouPTzKQ+1TK7uGS6rdb3X92V6P75XmM1FTr2qi2778/lHJ9WP3ER6tE3tcmMmD7n4yJzX2uzFKrq601KPefehZzqkYZ4QM0RI0ycyZWp0onD+5d/1K9ASZMsLMOtl0oAYL1+ztdcGpbW7DQg3bsiIQF6B+Ntl410EsNfnPSkvGM389LFlvZe9U6q5XoxFUY/cRHtZ684ShurcZTSoeyq9uKrI0sFis/mnJsseI2kBnz/z1sGx9WHU+OA0bI2SI2qBJAAzNJeJ0Zs7HEa+pwI3O7xK7rYc27Jdd5qEN+1Vty4pAXGGzikJYMDUfHolVnTAdu5r8S5WiAPn5TNTUq9HH/dH7eOfTGkxetgU/Wb0bv1cxIZ+U3MwAVt4+HitvH4/cYM8nALnBFKy4fTxKLh+Cx2YXxu1VkNLRoaXxqzSPklXng5OwMUKGhR/DSv1IzCoKuWouET3Mmo/j/msvidvrKjPrZPeRBsWhqadazmP3kQZVaVNzTOmx6UBNd8wGiStWMC3ZEcMk5fJ//7WXKJa1kflMzHjcH97HPa/1fjqjx//3T2MxqyiEWUUhvLd0GtbOn4RnbxmLtfMn4b2l01TXV3jIc/T/Yz9T62TLecVzY1ZRCPdfe4nsMmrOM6vOBydhnxEyxayiUGRacrHOconeCcusdI8YkGbKdtQws07Kv6xXta3yL+tx9cgBqpZVOqa0UvP0KjXZhxmFubq2bzap/P/Xp1+bsn2penViBNX6M9+9+pMaORSuXykeAClJXvzvn32vR2dboLthXtt8DvWnz+FUy3kcrjuDdyu/UUyXmnND7TmttC2zzwenYWOETCM3xDLRO2GZle545t/cOlH7g6jth1PtsF011Dy9ctoQSbH8m3WMDOgXQPmRhl4XNieOgBmUkaI4MkjNk77a5jZ4PR78YOwFkc/Dr0e8HqDogv64Mj8bH1Y1qmqMqKkLM88zM88Hp2FjhOLCyFwibqAmfx6P9ONzO/JvZp0UX5SD57Z+oWo5uyTK0zk1Ty7k5jMJjzz5l/9T0aOzcfQoGKn5auwQCqbg5Nk22ZFDgL76lRpx9OgNo0w7NxL9t88s7DNCcZHonbDU5G/+lHzJmT6B+OffzDqZdGGO4rv3rLRkTLrQvsZIojydU6o3D7qPNanvBXT3d+g16ilmFEx0/4yfXj1CdfrMPoKbWs/jntf2KY4M0hNmQGrE0b2v7cONY7obOUbPjUT/7TMLGyMUN4neCUspf6UlhY7Lv1l14vN68JsfXSa7TNmPLrP1BzeRhkgaOdakGo1iI23CrwUenT0aK28fj1BQ+YKfG0zB87eOU7WsGi3tnarSq6V+1Ywk2/hJDX5/qznna6L/9pmBc9NQ3CV6BFaromJayaw0dQc9q0RtszOD2umZ6dfJtB5rXV2Cqrli1s6fJNlJ9MOqxh7zqEhFYH3n0xrc89peU/OrlF619at2nqK18ydF+pA4ITqxG3FuGnKsRO6EBSjnz4n5NytNTu/xL9UXItdBDSYttB5rf644oWq7Uv0vtBwnWel+VcuZIZxetfWrpX+JmeerE899p2BjhIhM5fQfXKc3mKwUz34z8ewIXF3fEvm3mvpNlP5DiYSNESLqc5zeYLJKPEd2KM25Yqblf/0bCnL7RZ58KNUvR7g4DzuwEhH1EfEa2bHpQA2e+eth1cvnZgaQm2nsKYSW6SQ4wsV52BghIupDrB7ZoRQJNZYHwOM3jsbjNyrP4yJFz3QSHOHiLHxNY6HYntMThmdhz9GTcXtPbWfPbSf3GhdLGwDN6ZXKY/TnA9J7jzQAgN1fNmDX4Xp88tUpnDvfiQv6p6BoSH8MDKYgN/O74YevllfjaGMLhmenYU7xCPiTpO8f5MrcaH2I5amu+VxkREU4zWLblNt3e0dXjzze+r3hqDh+Slc69eQxdnRIVpofDWfbcbKlHV4P8L0ROfD6PJH6G5vXH2t2V+Oj6pNI9/vwo/FDcdXF3eHtrT7epY7b3V82oPxIAwABxRcOwKSLcnqNqAkvIwgC+qclY0BGCp7+f8agq0vAB1WN6BK6kJUWQOv5Luz6oh5d365z4lQrcoMpyE7zo6n1PDweoPjCARg/PAuvfXAURxtbkJ7iwR/fO4bW813w+zy4ecIFqgOlBXzArNG5ePuTGnz2TTMyAj6cbhMfyqtG3elz3fk90vDtFAXdr2uuGJGND75swPq9X+Grk624IBjAqCFBnD7XgR+NuyBSJrmZ3/1O/7niBAZlpOCyC4JYtukQqhtaMCInDQ+XdDea/v3tg/j0qyZkpiRhysUDMTiYgtxgqux5F952zalW7Dt+EgKA4dnpuDQ3A40t7dqP2+ZzaDzThux0f699u42mob0rVqzAihUrUF1dDQAYPXo0fvnLX+L666+XXGf79u1YsmQJDh48iCFDhuDBBx/EwoULNSXSjUN7xSL7eWMicFo55FEqsmA8RgzYuW8lYmkLx12InnxMKb1SebxxTAgbP6mR/DHun5aM8x1dOCsROyEs3e9DS3tnj/fZXk93MKvSkt53kHJlDsBQfYhtW4zYNuXSte/YSazeWSU7qZvadOo55tTmS0kgyYtUv0/T8aOV1HHb3tHVKw5H/7Rk/OZHl2FWUQibDtTgoQ37JSfWi/1NcrvF147Ey+9XK04kKKZ/WjJ+PHGo7Pmrhtx5p6a8jRy3Tvmdjab2+q2pMfLWW2/B5/Ph4osvBgD88Y9/xFNPPYV9+/Zh9OjRvZavqqpCUVER5s+fjwULFmDXrl245557sHbtWtx8882mZ8YpwmPdlQrWqtgGUvuPRywFO/etRG29APLp1bIdKyyY2rNBIlfmUmlUWx9a8+qJ2qaedOlJp55jzuo6NPN415vWBVPz8YcdVYb2TfFn9LiNPgedQO31W1OfkdmzZ6OkpASXXHIJLrnkEvzqV79Cv379sHu3ePCYlStXYtiwYVi+fDlGjRqFn/3sZ7jzzjvx9NNPa8uNi6iZGTRMLOKhlfu3Yn9O2bcSLfUCSKdX63assHpnFdo7uhTTI5dGNfWhN69PvFWJ9o4uXenSmk49x1w86tCs491IWlfvZEPEjYwet4LIum6guwNrZ2cn1q1bh7Nnz6K4uFh0mfLycsycObPHZ9dddx0+/vhjnD8v/Ritra0Nzc3NPf7cQs3MoNH0dLwysn+z9+eUfSvRWi+AeHr1bMdsXQLwanm14fQo1YeRMnu1vNq0cpJLp55jLl51aMbxbiStLrsWyRqRk2Z3EuLK6HFr1++sEZobI/v370e/fv0QCASwcOFCvPHGGygsFO8FXVtbi8GDB/f4bPDgwejo6EB9fb3kPsrKyhAMBiN/eXl5WpNpG72BfswKEGTnzKROnhXVyD6j13XKjK5HG7uDPJmRHqltGNl2OH1mEkuPnmMu3nVo1rHXlwWSfXYnwRZGjlu3HTuaGyMFBQWoqKjA7t27cffdd+OOO+5AZaX0MC6Pp2fP3nAXldjPo5WWlqKpqSnyd/z4ca3JtI3eiH1mRfqzM7Kgk6MaGtln9LpOicg4PLv7TtGM9Ehtw8i2w+kzk1h69Bxz8a7D+tNt+HPFCZQfadD86Nwpx5vdhmWl2p0EWxg5bt127GhujPj9flx88cWYOHEiysrKMGbMGDz77LOiy+bm5qK2trbHZ3V1dUhKSkJOjnR0vEAggMzMzB5/bqE0c2Qss2cKtXNmUifPiqq1XgDx9OrZjtm8HmBO8QjD6VGqDyNlNqd4hGnlJJdOPcdceJ148HqAJ98+hPvWVeAnq3dj8rItkSnv1TBSvy4d4dmL1wM88+NxCZMfNYz+9rhl9ulohoOeCYKAtrY20e+Ki4uxefPmHp+9++67mDhxIpKTxaexdju5yH6xrIj0Z2dkQSdHNdRSL9HLxKZX63asMH9KfiTeiJoyl/tOrj705vWx2YXwJ3lVpUuJUjr1HHPhdeJRf7EPQmqbzuHuNXtVN0iMHG/zp+RrXMOZ5k/JR7+UJFfmR+9NAiD/26O0vhujx2pqjDz88MPYuXMnqqursX//fjzyyCPYtm0bbrvtNgDdr1fmzp0bWX7hwoU4evQolixZgkOHDuGll17Ciy++iAceeMDcXDiMVGS/2GPDqkh/dkYWdHJUQ6m0ZaUlR2KNhMmlV2o7oWAKFkzNl73r7p+WjHS/8vvv9ICv1w+Z19N7WK9cenKDKVh5+3isNFAfUtsWE4rZplK6FkzNV7zbVZNOPcdceB0znpAEkry9jh+pfOkZZSN33KaJHEv905Kx8vbxKC0pxMrbx/dKm5p0OoEHPY/30pJCLJiaD7E3/Ol+X+RYl8uvnP5pyYrnrxohmfNOTXkbOW5jz0E30RRn5Kc//Sn+53/+BzU1NQgGg7j88suxdOlSzJgxAwAwb948VFdXY9u2bZF1tm/fjsWLF0eCni1durRPBD0DGIGVEVgZgVVp3/GIwKqmXMyMwFp/ug1Pvn1IMb1r50/SNFmf2RFYo6ONhvOf3S+AQRkBQxFY/3XWJfDA26ssiy8cgCvyuyOh/ueer3DiVAsuCKaiIDcDh2pO47NvmtHa3onBmQFcNzqEeVfnix7v7R1d+OP71fiougFp/iTc/G0dRNeplgis4TyFyy22nBmB1RhLgp7Zxa2NESKylx3RgP9ccQL3ratQXO7ZW8biB2MvsCQNTuTkG5R460tlofb6zblpiCghSUWrDPfbsOpxtpNHldnFyVNExBvLQhxn7SWihGNnNGAnjyqzQ7hRGBuwS2tn3kTAspDGxggRJRw7owE7eVRZvDl5ioh4Y1nIY2OEiBKO3dGAnTyqLJ6cPEVEvLEs5LHPCBElHCf025hVFMKMwtw+01FRjN2NQidhWchjY4TIoL7UM94twv02apvOiT4W96D7KYXV/TZ8Xo+m4buJInxOHP7mjKrl+0JnXic0kJ2MjREiA9gz3pnC/TbuXrMXHqBHg6Sv9duIN7FzQkq8GoVO4JQGslOxzwiRTuwZ72yJ0G+js0tA+ZEG3RPtxZvUOSGmrzUK2bFZHoOeEenQ2SVg8rItkj+64buc95ZO67M/Lk7h1tdobnvqpnROxHJyXqzktno1ikHPiCykpWd8X+wz4CRu7LdhV8A2I5TOibBF11yEqy8e6JpGodnYsVkcGyNEOrBnPFlFKR6FB93xKGYU5jrqAqb2WB85OMN1jUOzubGBbDX2GSHSgT3jySpujUfBc4KM4JMRIh3YM94ebur/oTetbn3qxnOCjGBjhEgHDh2NPzd1/DOSVrc+YeA5QUbwNQ2RTokwdNQt3DSM2mha3TzRHs8J0otDe4kMctOrAzdy0zBqs9IabtAA4k8YnH5h5zlBYRzaSwlP6QfP6Pdyy+j5sdW6Tl/4QW9t78Sv36lEdUMLRuSk4eGSQqT6fT2WcfIw6tg66uoSTElr+AlD7KuefgEfLhzYD/99oBbp/iR878Ic7Dl6UvQYidfxI7Ufu+tCbX7NLKe+cM5ahY0RciWld/JGv5fbx41jQtj4SY2m/gBa+xC4qX+EXvP/9BE2V9ZF/r/zMPDq7mOYUTgIq+deEfncqR06xeqof2qyqnXVpDU6HsULO4/gfz77O063deKTr5rwyVdNeKPi6159M8LHCIC4HD9OOU71psPM9DulLNyKr2nIdaQCQoXvP+6amo9VO6p0f7/i9vEAILoPKXKPz5XSG7uO1uXdKLYhEiu6QVJ+pAE/Wb1bcZtr50+K2924VB2ppSWtZe9U4g87qlQtG9s4if0OMO/4ccpxqjcdZqbfKWXhRGqv3+zASq6iFBAKAFbv7N3QCH8vKHwPdN9RPr7xoKYLTfS60fOHqElv9Dpal3ej1vZO2YYIAGyurENreycA53XolKsjJVrT2t7RhVUqGyKAdEMk+jszjh+nHKd602Fm+p1SFm7Hxgi5ipr+A0rnvNz34Xf6tc1tmtMmFoxKawArtwa80uLX71RqWs5pE4ypDXseS09aXy2v1v30RYxZx49TjlO96TAz/U4pC7djY4RcxWmBnsREp1Frfwen9o8wU3VDi+blnDRkVG3Zx/Yf0ZPWo43qykoro8ePU45TvekwM/1OKQu3YwdWchWnBXoSE51GrQGs3BrwSosROWnYeVjdctGcMsGY2rL//W3j4fV4dKe1s0uAVV36jB4/TjlO9abDzPQ7pSzcjo0RchU1Iac9HvlXMV4PIAji79fDcSAEQcA3zW2aHpGLhbvWGiK7L4TUfrikEK/uPqZquVhOmGBMbR1NujBHd0NJbGSGGcw6fpxynOpNh5npd0pZuB1f05CrqOk/MH9KfnejROR7z7ffy63/2OxCPH7jaNFlpEj1B9Da38Fp/SOskOr3YUbhINllZhQO6hVvxCmsriOpCK5qeCT+bVbawpxynOpNh5npd0pZuB0bI+Q6Sv0HSksKDX0/qygkuY9QMAULpuYjpKHvgtb+Dk7qH2GV1XOvkGyQxMYZcSKr6kjrSJ3Yy1tuMAUrbx+PlXE4fpxynOpNh5npd0pZuBnjjJBrMQKr+6mJwOpkZteR2pgqky/OwYKpFzk6Amu8MQKrM6m9frMxQkTkEH+uOIH71lUoLvfsLWPxg7EX9PiMF0JyIs5NQ0TkMnpHZjAUObkd+4wQETmEnmizUh1ea5vO4e41e7HpQI11CSYyCZ+MUEKx81G1lft2+iN4K97Xx6Nfjp5tdHYJ2H2kAeVf1gPoHmpsZBhvtPDIjLvX7JVcJnpkhlIocg+6Q5HPKMy17Hhp7+jCq+XVONrYguHZaZhTPAL+JHvvc83s60XxoakxUlZWhg0bNuCzzz5DamoqrrrqKixbtgwFBQWS62zbtg3XXHNNr88PHTqESy+9VHuKiSTY+ajayn07/RG8FTOmAtpnnTWjnNTM9vzQhv041XI+8v1zW79A/7Rk/OZHl5lSH7OKQrhraj5W76zqES/H6+kelh69Dy2hyK2Iz1L2TmWvdP7qnUOYPyUfpSJxYuLBzNm2KX40dWCdNWsWbrnlFlxxxRXo6OjAI488gv3796OyshLp6emi64QbI59//nmPzisDBw6Ez6eu1zw7sJISO2fNtHLfTp8N1IoZU/XMOmtGOamZDVpp9tyVJtSHlrwY6fBqlNJswgumxr9BonU2ZaecR4nMkll7N23ahHnz5mH06NEYM2YMXn75ZRw7dgx79uxRXHfQoEHIzc2N/KltiBApsXPWTCv37fTZQK2cMVWMWTMji1HahgComj3XaH1ozYtdocjbO7qweqd8eazeWYX2ji5T9ytHz2zKTjiPqJuhF3tNTU0AgOxs5TC348aNQygUwvTp07F161bZZdva2tDc3Nzjj0iKnbNmWrlvp88GatWMqXLMmBlZjJo0qblUGa0PrXnR0+HVDK+WV6uaHfvV8mpT9ytH73Fl93lE3XQ3RgRBwJIlSzB58mQUFRVJLhcKhbBq1SqsX78eGzZsQEFBAaZPn44dO3ZIrlNWVoZgMBj5y8vL05tM6gPsnDXTyn07fTZQq2dMVbtNM8rJzDI0si2tebErFLna2YStmnVYTLxmIiZr6B5Ns2jRInz66ad47733ZJcrKCjo0cG1uLgYx48fx9NPP42pU6eKrlNaWoolS5ZE/t/c3MwGCUmyc9ZMK/ft9NlArZ4xVe02zSgnM8vQyLb05CUcijy202auhZ0zh2enKS+kYTkzxGsmYrKGrsbIz3/+c2zcuBE7duzA0KFDNa8/adIkrFmzRvL7QCCAQCCgJ2nUB9k5a6aV+3b6bKBWzZgqx4yZkfXkRS2jr0ROnm3XtY9ZRSHMKMyN27DVOcUj8Kt3DinOjj2neIQl+xejtw7tPo+om6bXNIIgYNGiRdiwYQO2bNmC/Px8XTvdt28fQiH2XCZz2DlrppX7dvpsoFbOmKplm2aUk9w2tDBSH51dAp58u1JxuUdvGCW6D5+3O+bJD8ZegOKLzIl7IsWf5I3Mfi1l/pT8uMYb0VOHTjiPqJumI+Xee+/FmjVr8NprryEjIwO1tbWora1Fa2trZJnS0lLMnTs38v/ly5fjzTffxOHDh3Hw4EGUlpZi/fr1WLRokXm5IEfo7BJQfqQBf644gfIjDZb3To/eXzDVj9/fOs6WWTOtnLHT6bOBGp0xdVCGv8fngzL8umadVZsOuWM0vI3BmdqfymalJRse1qu2A2ZWujOeGpeWFGLB1HzEXsO9HnuG9QLSx4Ge2bYpvjTFGfF4xFuOL7/8MubNmwcAmDdvHqqrq7Ft2zYAwG9/+1usWrUKJ06cQGpqKkaPHo3S0lKUlJSoTiTjjDhfvANzSe3v0RsKkZXuZwTWONOTPrGAWeHAXqUlhaZHYFV7jO76oh63vfCBYp5vGjsEQ7PSTIvAamfMECMYgZXkcNZeipt4B+ZyeiAwUhbvgFluCCRWfqQBP1m9W3G5tfMnWRJNlcgKlgQ9I4oV78BcTg8ERsriHTDLLYHE7IoZQuQEbIyQIfEOzOX0QGCkLN4Bs9wSSMzpHZaJrMTGCBkS78BcTg8E5lbx7Hwc74BZbgkkBji/w7KYeHdcp8SkO+gZERD/R9pODwTmRvHufBzvgFluCSQWve94xgwxwukzSpN7sDFChsQ7MJfTA4G5jVTHztqmc7h7zV5L7sbjHTBL7zFjZ6MgHDPEyew4dihx8TUNGRLvR9p8r24euzoDxztglpFjJp6BxNyEHcnJbGyMkGHxfs/txvfqTmRnZ+B4B8yaUZiL+6+9BMHU5B6f85jRhx3JyWx8TUOmiPcjbTe9V3cquzsDl5YU4l9mXmp5wCyxfg39U5Pxz1ePwKJpI3nM6GD3sUOJh40RMk2833O74b26kzmhM7A/yYufTrnQsu1L9Wtoaj2P5X89jILcDD4V0cEJxw4lFr6mITKZW4Y6JmqQrXD5v7HvBEo3fMp+DRZI1GOH7MMnI0QmctNQx3DHzrvX7IUH6HHRdmtnYLHylxLdr4FP2LRJxGOH7MUnI0QmCb8SiL0Qhoc6bjpQY1PKpCVSZ2Cp8lfCfg36JNKxQ/bjkxEiEygNdfSg+5XAjMJcx90tJkJnYLnyV8J+DfolwrFDzsDGCJEJtAx1dOIrAbd3BlYqfyns12Cc248dcgY2RohMwKGO5ursEjTdbestV/ZrIHIGNkaITMChjubR0wlYT7kuvnYk+zUQOQQ7sBKZgEMdzaG3E7BS+ccKBVOwaNpIg6klIrOwMUJkAs6ZY5yR+U7kyj+a59s/1gWRs7AxQqSCmkBmHOpojNH5TqTKP5qb6sItwfOIzMA+I0QKtPRh4FBH/czoBBxb/gPSA4AHqD/T5qq6cFPwPCIzsDFCJENqbpNwHwaxu+y+NNRR66gXOWZ1Ao53+ZtZBoC+Y47I7dgYIZLg5kBm8WD23Xu4E2pt0znRMveg+zWLkzoBm10GPOaor2KfESIJevsw9IV3/VaEvndbJ2ArysBovxkit+KTESIJevow9IV3/VbevYc7ocaWYa7DytCqMmDwPOqr2BghkqC1D0Nfeddvdeh7N3QCtqoMGDyP+io2RogkaOnD0Jfe9cfj7t3pnYCtKgM39pshMgP7jBBJ0NKHoS+96+fdu3Vl4LZ+M0RmYWOESIbaQGZ96V0/Q99bWwYMnkd9EV/TEClQ04ehLz0tCN+9371mLzxAj9cJfeXu3eoycEO/GSIzeQRBcPy4w+bmZgSDQTQ1NSEzM9Pu5BD10tklYPKyLYrv+t9bOi1hLih9YeSQEpYBkTy1128+GUlgcpEhtUaNbO/owqvl1Tja2IK8rFRcmpuJxpZ22XXV7iO87aqGs/AAGDO0P5pazyM73Y/cYKrkeq3tnfj1O5WobmjBiJw0PFxSiFS/T3U65NaPzu/w7DTMKR4Bf5L0W83oO2UpsXfKSuXTs8zTcGluhmyZy6U5vK/a5nNoPNOG/qnJONV6Htn9AsjN1L49AJhRmIuMlGSUH2kAIKD4wgGYdFEOfF5Pj7wN6BcAhO5XVI1n23vs80RjK2Y9ux2t57uQmuzFpvu+jwuyU3uUy4ThWdhz9CS+PtWKiuMnAQAjctIxp3hEpL9OdBkC0HXci6W5/mx3GPmxef3x2gdHe5XFjMJcZASSUf5lPQAPrhiehc+/OY0Ne09g04Fa/HDMBUhK9kqGo++xz6jQ9VrC2EdvIzvVj0O1zfiwugE1p84hkOzFsKx03DxhKK66eIBs2SiJLbtwvRxrPIv/89FxnGnrwLDsNDzz43Hol6Lv0iK1DzOeDpkdKVfrb4QeZqfZyTQ9GSkrK8OGDRvw2WefITU1FVdddRWWLVuGgoIC2fW2b9+OJUuW4ODBgxgyZAgefPBBLFy4UHUi+WREO7k7NgCa7ubK3qnE6p1VkIrdJbau2jtGpW1LrTf/Tx9hc2Vdr2VnFA7C6rlXKKZjYIYfn37VLLr+hQPSe6XJ6wHmT8lHaUmhdEIl8iO2rlL5aC1zuf2OG5bVa19GtldaUqj5+DLC64FoOXg8QGqyDy3tnZHP+qclAwBOtZxXlS69afZ6gOmjBuHAiWZN+YwuZ7EyVLNeNC3bCCR5ker3iZaN0lMcsf1I1QsAXD40ExsXTVFMk9Z96H3qZPYTLLXnuRGJ8tRN7fVbU2Nk1qxZuOWWW3DFFVego6MDjzzyCPbv34/Kykqkp6eLrlNVVYWioiLMnz8fCxYswK5du3DPPfdg7dq1uPnmm03NDHWTincR+2479jsAvTrIlb1TiT/sqJLdX+y6cvuPXk7NtqPXDa8n1RAJCzdIpNJhxIKp0j82avOttNy1hYNk8xe7zX3HTqouR6VtqtnejMJB+Gtlnabjy05Kx3080xyut7um5mPVjirV+xY7P804vqXO+2h696OlQaJ2H2rSq3bberYFKP8myv1GqGV2mu1kSWMk1t///ncMGjQI27dvx9SpU0WXWbp0KTZu3IhDhw5FPlu4cCE++eQTlJeXq9oPGyPqhfsu6Lkrje3X0N7RhUsf/YvsU4vYdbf/6zX4/lNbJfcfXm7Lv/wDRj+2SdW2w0LBFGxe/H0UPf7fisseePw6zHhmu2l352FeD/DZk9f3ehyrVO5qy0eL8Dal+qnYvT2SJvdUQUr0+QlA93kut93YVwBGfk+A7vNQ6ZWN1n1o6X+l9rxU25dLzW+i1G+EWman2W5qr9+GXnA1NTUBALKzpYevlZeXY+bMmT0+u+666/Dxxx/j/Pnzouu0tbWhubm5xx+poxTvQk5sLIxXy6tV/2CG1321vFpVvI1fv1Op+ce4pukcFr++T9Wyi1/fZ3pDBOi+gLxaXt3rc7VxRpTKR4vwNs1qOJi9PZKmZ7qi6PPTyHkut91YRvej5nzVug8tMXvMjv+j5jdR6jdCrb4Usyia7saIIAhYsmQJJk+ejKKiIsnlamtrMXjw4B6fDR48GB0dHaivrxddp6ysDMFgMPKXl5enN5l9jhlxLMLbONrYonldtetUN2jfNgAcO9lq6nJ6iOVRbbnrKVOiaHWnz1kSr0Zsm0b3o+Y81LsPNeuZHf9H7flr5DzvSzGLoulujCxatAiffvop1q5dq7isx9PzUVL4zVDs52GlpaVoamqK/B0/flxvMvscM+JYhLcxPDtN87pq1xmRo33bADAsK9XU5fQQy6PactdTpkTRBmWkWBKvRmybRvej5jzUuw8165kd/0ft+WvkPO9LMYui6WqM/PznP8fGjRuxdetWDB06VHbZ3Nxc1NbW9visrq4OSUlJyMkRn3siEAggMzOzxx+poxQZUk5s1Mg5xSOg9pVkeN05xSNURaZ8uKRQ9bbDQsEUPPPjcaqWfebH43SXgxyvp7tcYqmNyKlUPlqEt2lWHrVsz/lvqp3N69FehtHnp5HzXG67sYzuR835qnUfWqLbmh0pV81votRvhFp9NcKxpsaIIAhYtGgRNmzYgC1btiA/P19xneLiYmzevLnHZ++++y4mTpyI5ORkbaklRWrmtpD7LjoWhj/Ji/lTlOs4el1/klfV3Bqpfp+qbUev+9jsQvRLScKMwkGyy84oHIR+KUmS6TBi/pR80Y5paucUUSofD6CYv9ht3jVVfTkqUbO9cPq0HF92UnPci31nVVo8QOTY13IBBr47P+WON63pid5uLCP7uXxopqp4I1r2oZReLdvWui1A3W+i1G+EWn11fiJNJXbvvfdizZo1eO2115CRkYHa2lrU1taitfW794KlpaWYO3du5P8LFy7E0aNHsWTJEhw6dAgvvfQSXnzxRTzwwAPm5YJ6kJvbYuXt47FSw7wXpSWFWDA1X/ZuIHZdtXNrqNk20H0XEL3e6rlXSF6wo+OMSKUjFEzB5UPFn7bNKBwkmiavR3nIntp8Ky23eu4VmspcqhzDaV55+3iEgvKPdEMatrd67hWajy8jpMrB4wHSYoLcZaUlR2KNqEmX3jR7Pd3HilK5xgrXW2lJoWgZKq0XfX5KHUdSAkle0bJRGiYqtR+541NrnBG1+9AzP4/Zc/0onR9mxBnpi/MTaRraK9XH4+WXX8a8efMAAPPmzUN1dTW2bdsW+X779u1YvHhxJOjZ0qVLGfQsDhiBVT4dZkZg1ZNvt0dg1RrNNBEjsMZub2xef6zZfRQfVTcize9jBFaNGIG1p0SIwBqXOCPxwsYIERGR+8QlzggRERGRUWyMEBERka3YGCEiIiJbsTFCREREtmJjhIiIiGzFxggRERHZio0RIiIispW+yDRERNRLIgSpIrIDGyNERCbYdKAGT7xViZqm76Z2DwVT8NjswoQM301kJjZGiCyWyHfLZufNzCkM4mnTgRrcvWYvYsNZ1zadw91r9qqaT8TJ+SOyGhsjRBZK5Ltls/Mmtz0Aji3Hzi4BT7xV2ashAgACumdafeKtSswozJVsXCTycUKkBuemIbKI1N1y+HLk5tk3zc6b3PakfqCcUo7lRxrwk9W7FZdbO38Sii/K6fV5Ih8nRJybhkhEZ5eA8iMN+HPFCZQfaUBnlzVtcaW7ZaD7btmq/VvJ7Lyp2Z4Yp5Rj3elzygtJLJfIxwmRFnxNQ31GPB+Ff1jV2GM/sQQANU3n8GFVo+jdspOZnTel7clxQjkOykjRvVwiHydEWvDJCPUJ4UfhsT/84Q6Gmw7UmLo/I3fLTmd23swoAzvL8cr8bISCKZDqaupBd6P3yvzsXt8l8nFCpAUbI5Tw7HgUbuRu2enMzpsZZWBnOfq8nkgn29gGSfj/j80uFO28msjHCZEWbIxQwtPyKNwsRu6Wnc7svCltT46V5ailf9GsohBW3D4eucGejYbcYIpsB9REOE7i1Q+LEhv7jFDCs+NRePhu+e41e3uNCFG6W3Y6s/OmtD1B5N9696WWnv5Fs4pCmFGYqylWiNuPEw5JJrPwyQglPLseheu9W3YDs/Mmt72Vt4/HyjiWo5H+RT6vB8UX5eAHYy9A8UU5qhoRbj1O4t0PixIb44xQwuvsEjB52RbUNp0T7TfiQfcP/3tLp1lyB5rIkTUTLQJr+FiReq1n5bHipuPEznIid1F7/eZrGkp4dj8KD98tJyKz8ya3vXiUo51Dbd10nHBIMpmNr2moT3Dro3CKLw61VYflRGbjk5E+wk2PgK2ip4OhFixj9zOrf5HSsaD2WHHqMcUhyWQ2Nkb6APZ4/45Vj8JZxokhPNRWqX+R3FBbpWNB7bHi5GPKjHIiisbXNAmOPd6txzJOHEYCmAHKx0LZO5WqjhWnH1NGy4koFhsjCYyTcFmPZZx49PYvUnMsrN5ZpXistHd0ueKYYj8sMhNf0yQw9ni3Hss4MenpX6TmWJALpBA+Vl4tr3bNMWV1PyzqO9gYSWDs8W49lnHi0tq/yKw6PtrYEtf9GeWmIcnkXGyMJDD2eLdeopSxU0dtuIlZdTw8Oy2u+yNyAjZGEhh7vFsvEcrYyaM23ETNseDxAFJdPcLHypziEXjhvSpXH1NEWrEDawJzY493p8wAqjYd0WUsRgDw6A2jHFXG0Zw+asNN1Jxv86fkdzdKJL5/bHYh/Ele1523REZpbozs2LEDs2fPxpAhQ+DxePDmm2/KLr9t2zZ4PJ5ef5999pneNJMGburxvulADSYv24KfrN6N+9ZV4Cerd2Pysi1xvyDqSUcwLVnyuyffPuTIizpHAplP6XwrLSlUdT666bwlMoPmifL+8pe/YNeuXRg/fjxuvvlmvPHGG7jpppskl9+2bRuuueYafP755z0myRk4cCB8Pp+qfXKiPOOc3icgfIceezCGUxivH2Ct6ZBaXs26dis/0oCfrN6tuNza+ZPYQVGjRI/ASqSWZRPlXX/99bj++us1J2jQoEHo37+/5vXIHE7u8a50h+5B9x36jMJcS3+ItaZDbnmldZ2AI4Gso3S+qT0fnXzeEpkpbn1Gxo0bh1AohOnTp2Pr1q2yy7a1taG5ubnHHyUuLbE6nJQOpeXl1nWCRBkJRETuZ3ljJBQKYdWqVVi/fj02bNiAgoICTJ8+HTt27JBcp6ysDMFgMPKXl5dndTLJRk65Q9eaDj3pcdJThvDoD6nnNB50j6rhqA0isprlQ3sLCgpQUFAQ+X9xcTGOHz+Op59+GlOnThVdp7S0FEuWLIn8v7m5mQ2SBOaUO3St6dCTHic9ZQiP/rh7zV54gB6vmzhqg4jiyZahvZMmTcLhw4clvw8EAsjMzOzxR4nLKXfoWtOhtLzcuk7BURtE5AS2BD3bt28fQiH+yFE3p9yha02H3PJQWNdJOL8IEdlNc2PkzJkz+OKLLyL/r6qqQkVFBbKzszFs2DCUlpbixIkT+NOf/gQAWL58OUaMGIHRo0ejvb0da9aswfr167F+/XrzckGuF75Dj40EmhvnSKBq0hE73PL3t47Hk29XSnZmjXce9OCoDSKyk+bGyMcff4xrrrkm8v9w34477rgDr7zyCmpqanDs2LHI9+3t7XjggQdw4sQJpKamYvTo0Xj77bdRUlJiQvIpkTjlDl0uHVKh0x+9YRSy0gOoO30OA9IDgAeoP9PGpwxERCpoDnpmBwY9IydwSmA2IiK3UHv95tw0RCowdLr1nDIvERHFH2ftJVJBS0A09r3QjjMHE/VtbIwkMDPntTB7jgw12zNrfg8zaAmIpjddTp2HxIy6kiP1+is8czBff5EdnHo+Jio2RhKUmXeaZt+1qtme0jLxvpNWG6ysur4Fk5dt0Zwupz4ZMKOu5DhlXiKiaE49HxMZO7AmIDM7WprdaVPN9gDILnPX1Hys2lEV146knV0CJi/bgtqmc6IXTg+AYFoymlrOa06XUzvGmlFXSmnnzMHkNE49H92KHVj7KDM7WprdaVPN9h7feBCPb5RfZvXO3g0RvWlSKxzgDECviKvRAc+0psupHWPVpuvxjQcNpd0p8xIRAc49H/sCNkYSjJkz4Jo9m66a7dU2t6G2WX4Zud8BK2fHlQudvvjakTjVcl5zupwyY3EstemqbW5TXEYu7U6Zl4gIcO752Bewz0iCMfNO0+y71nje3Vq1L6mAaP/16de60uXEsjN7f3LbCs/vI/f6K9eBc/pQYnLq+dgXsDGSYMy80zT7rjWed7dW7kssdLreMnBi2Zm9P7ltOWVeIiLAuedjX8DXNAnGzBlwzZ5NV832cjMDyM2UX0buuqQlTWYG2VIzg2//tGR0dQk99uOUGYtjqU1XbmbAcNo5czA5hVPPx76AjZEEo9TRElB/p2nmttRu7/EbR+PxG+WXmT8lHx6Dadp0oAaTl23BT1bvxn3rKvCT1bsxedkWbDpQoyovseTyFnaq5Txue/GDHvsxu4zNojZdj984WnEZNWmfVRTCe0unYe38SXj2lrFYO38S3ls6jQ0Riiunno99AYf2JijGGZHfv1VD98TSFUtsP06Na2B1nBEiJ+IxbR611282RhIYI7CK7zc2KFm0cIfJ95ZOM1RWu79swL3/ey9OtYqPsBHbj1MjPlodgZXIiXhMm0Pt9ZsdWBOYWEdLJ2xL7faUltGTpnjMMePzeuD1eCQbIlL7MbuMzWJGXRG5DY/p+GJjxEXYUjcuXkP3OESQiEg9NkZcgu8wzRGvoXscIkhEpB5H07hAuMNl7OuF8KymekeA9EXxGrrHIYJEROqxMeJwnCvBXPEauschgkRE6rEx4nBumCvBzOBh8TCjMBf3X3sJgqnJPT43O8gWg3kREanDPiMO5/SOkG7ryyKW3v6pyfjnq0dg0bSRpj+pkJrLhk9EiIi+w8aIwzm5I6RU8LBwXxan3f1Lpbep9TyW//UwCnIzLEkvhwgSEcnjaxqHc2pHSLf1ZXFbeomI+hI2RhzOqR0h3dCXJZrb0ktE1JewMeICTuwI6fS+LLHcll4ior6EfUZcwmkdIZ3cl0WM29JLRNSXsDHiIk7qCBnuy1LbdE60H0Z4IjinBPVyW3qJiPoSvqYhXZzal0WK29JLRNSXsDFCujmxL4sct6WXiKiv8AiC4PixjM3NzQgGg2hqakJmZqbdyaEYbptN2G3pJSJyK7XXb/YZIcOc1JdFDbell4go0bExokDPXbTUOq3tnfj1O5WobmjBiJw0PDDzUvznnuM42tiC4dlpmFM8Aq3tnbjzlQ/xddM5DAmm4KV5V6JfShI+rGpEbVMrGs+2I7tfALmZymlpPNOOW1a9j7rT7RiU4ce6u65Cdj9/JH21zefQeKYN2en+7lEkHqD+TBv6pyRj86FaHG1sxYicNDxc0t3XIjrtD5cUwp/k7ZHPyy4IYtmmQ6huaEFeViqGZaXh6+ZzGJKZgmMnW3D8ZCuGZaViaHYaaprOYXh2Gm793nBUHD8lWb5y5b/7bw245aXdkWXX3TkJky7J6bXOhOFZ2HP0JOpOn8OA9EAkn9H/lqrb6G1lp/nxWW0zjp9sjaR977GTKD/SAEBA8YUDMOmi7v2/Wl4dqdcfXzEMr390DEcbW5CXlYZLB2egsbUd/QPJ2PzZNzja+F2Zpvp96OwSsPtIA3Ye/jve+6IeADA2L4hHbhiNVL+vV/p2f9nQPSdQZxea287D6/FiWPZ3+xmUkYKxef3x2gdHexxrPq+nV9m2tndi8ev7cOzbunrmx+PQL0X6Z8LoU6bYcyJcBka23aPOUv347JvTOH7yu3z7k757O93e0YU/vl+Nj6obkeb34eZxQ3HVyAGGnpTJHTOx+9e6PSc+ybMifU7PM5lP82uaHTt24KmnnsKePXtQU1ODN954AzfddJPsOtu3b8eSJUtw8OBBDBkyBA8++CAWLlyoep92vabRM++K1DoDM/z49KtmXenwegCxwKByabni3zfj72fae32emZKE9ECSbAAwtfxJXrR3dBneTrToPMmV/8I1e2W3Eb2OVPnJ7RsQr0sl/iQvznd2Qe/Lz8uHZuJYYytOtZwX/X5G4SCsnntFJH0PbdgvuawcjwdITfahpb0z8lmS14MOkYK6fGgmNi6a0utzo/MSzf/TR9hcWdfr8xmFg3Dz+KG6tq1UZ14PMH9KPkpLClH2TiVW7azqVVdpfh/+45/G6OpDpGX/erfnpLmfrEif0/NM2qi9fmtujPzlL3/Brl27MH78eNx8882KjZGqqioUFRVh/vz5WLBgAXbt2oV77rkHa9euxc0332xqZswkNY9JuG0u1uFRah0reUTSItUQcYNw+d41NR+rdlSJlr9V5RtdtwDiXpdqhS/Wcg0ys8U2SPScH9GkGiJylLat5fy7fGim4s3BSo2dmrXsf8FU5QaJ0TK2mhXpc3qeSTvLGiM9VvZ4FBsjS5cuxcaNG3Ho0KHIZwsXLsQnn3yC8vJyVfuJd2Oks0vA5GVbJO9uwjEp3ls6LfLoUGkdq8SmpfFMO8b/++a4psEKap9mmC1cnoIgoLa5Lf4JUGlwZgDfxDl9Bx6/Dv1SknSdH9Fa2zsx6pebdKVBattWnH+DM/x4v/Ra1a+GtOzf6wE+e/J6yVc2RsvYalakz+l5Jn3UXr8tH9pbXl6OmTNn9vjsuuuuw8cff4zz58UfL7e1taG5ubnHXzzpmcdEaR2rxKblllXvxz0NVrBrvrpweTq5IQIg7g0RAFj8+j4Axuf5+fU7lbrTILVtK86/b063q56rSOv+uwTg1fJq3duzey4lK9Ln9DyTtSxvjNTW1mLw4ME9Phs8eDA6OjpQX18vuk5ZWRmCwWDkLy8vz+pk9qBnHhO75zQJ77/utDtfz5DzHTvZCsD4PD/VDS2G0xK7bavOPyvnNDraKF0OTp9LyYr0OT3PZK24BD3zeHo+Ugu/GYr9PKy0tBRNTU2Rv+PHj1uexmh65jGxe06T8P4HZfhtTQclrmFZqQCMz/MzIifNcFpit23V+WflnEbDs6XLwelzKVmRPqfnmaxleWMkNzcXtbW1PT6rq6tDUlIScnLEYz0EAgFkZmb2+Iun8DwmUm8lPeju3R09j4nSOlaJTcu6u66Kcwqs4fX0DtseD+HyzM0M2LJ/tQZnBuK+z2d+PA6AvvMj2sMqR5Jo2bYV59/gDL/quYq07t/rAeYUj9C9PaUytpoV6XN6nslaljdGiouLsXlzzw6V7777LiZOnIjk5GSrd6+LnnlM5NaxWnRasvv5MbCfe5+OeL79mz8lP/L/2O+t3DfQXZ6P3zja8v3pNaNwEJ74Nn3xcvnQzEi8EaPz/KT6fZhROEhxn1q2rfX8u3yo8g3OEz8oUt1RUuv+50/Jl4034vS5lKxIn9PzTNbS3Bg5c+YMKioqUFFRAaB76G5FRQWOHTsGoPsVy9y5cyPLL1y4EEePHsWSJUtw6NAhvPTSS3jxxRfxwAMPmJMDi+iZx0RqnVAwRdWPnxSpcy8kkZaP/m2GZIMkMyUJoaA5jzm1Bm9SI1y+pSWFkuW/8tuht1Ji86f2tyu6bqXqUkkgyQuJt4+qXD40E/3TpBvp4Tgjs4pCWHn7eNll5Xg83fE0oiVJFJRYnBGj8/ysnnuFZINkRuEgrNSxbTV15vV0D6vduGgKFkzNF62rNL9P87BerftXE2fE6XMpWZE+p+eZrKN5aO+2bdtwzTXX9Pr8jjvuwCuvvIJ58+ahuroa27Zti3y3fft2LF68OBL0bOnSpa4IegYwAisjsDICKyOwasMIrIzASt+JS5yReOFEeURERO7jmDgjRERERHLYGCEiIiJbsTFCREREtpLumUZEqrCzHRGRMWyMEBnA6c6JiIzjaxoincLTncdO7lXbdA53r9mLTQdqbEoZEZG7sDFCpENnl4An3qqE2Lj48GdPvFWJTrumHyYichE2Roh04HTnRETmYWOESAdOd05EZB42Roh04HTnRETmYWOESAdOd05EZB42Roh04HTnRETmYWOESCdOd05EZA4GPSMyYFZRCDMKcxmBlYjIADZGiAzyeT0ovijH7mQQEbkWX9MQERGRrfhkhDRLxInhEjFPRERuwcYIaZKIE8MlYp6IiNyEr2lItUScGC4R80RE5DZsjJAqiTgxXCLmiYjIjdgYIVUScWK4RMwTEZEbsTFCqiTixHCJmCciIjdiY4RUScSJ4dSm9fA3p1F+pIGva4iILMLGCKmSiBPDKeUp7LmtR/CT1bsxedkWdmglIrIAGyOkSiJODCeXJzEcYUNEZA02Rki1RJwYTipPYjjChojIGh5BEBz/q9rc3IxgMIimpiZkZmbanZw+LxGjlYbztOuLejy39QvF5dfOn8T5aIiIFKi9fjMCK2mWiBPDhfPEETZERPHH1zREURJx1BARkdOxMUIUJRFHDREROR1f02jU3tGFV8urcbSxBcOz0zCneAT8Sfa16eT6byj17Yj+fkC/ACAA9Wfbevzbqj4hTu13Eh5hc/eavfAAPULFu3XUUCJy6vFDRPro6sD6/PPP46mnnkJNTQ1Gjx6N5cuXY8qUKaLLbtu2Dddcc02vzw8dOoRLL71U1f6c0oG17J1KrN5ZheiBFF4PMH9KPkpLCuOeHrnZZgHIzkQrtq4Us2ewdcMsuW5IY1/FuiFyD7XXb82Nkddffx1z5szB888/j6uvvhp/+MMf8MILL6CyshLDhg3rtXy4MfL555/3SMjAgQPh8/lMzYyVyt6pxB92VEl+v2BqfBsk4dlmYysv9m4+9jsAuGtqPlbtqJJcTmo9M4bvyqXbrH2YhXffzuOm44eILGyMfO9738P48eOxYsWKyGejRo3CTTfdhLKysl7LhxsjJ0+eRP/+/bXsKsLuxkh7RxcuffQvkAst4fUAnz15fVxe2XR2CZi8bIuqpxpivB7I5kWMB93xRN5bOk33BVkp3WbsgxIXjx8i91F7/dZ05Wxvb8eePXswc+bMHp/PnDkT77//vuy648aNQygUwvTp07F161bZZdva2tDc3Nzjz06vllcrXry7hO7l4kFptlkleuJ1mTGDLWfJJSN4/BAlLk2Nkfr6enR2dmLw4ME9Ph88eDBqa2tF1wmFQli1ahXWr1+PDRs2oKCgANOnT8eOHTsk91NWVoZgMBj5y8vL05JM0x1tbDF1OaPsjHFhZN+M4UFG8PghSly6RtN4PD0fgQqC0OuzsIKCAhQUFET+X1xcjOPHj+Ppp5/G1KlTRdcpLS3FkiVLIv9vbm62tUEyPDvN1OWMsjPGhZF9M4YHGcHjhyhxaXoyMmDAAPh8vl5PQerq6no9LZEzadIkHD58WPL7QCCAzMzMHn92mlM8AkqvoL2e7uXiQe1ss1K8HnUTw0UzI74GY3iQETx+iBKXpsaI3+/HhAkTsHnz5h6fb968GVdddZXq7ezbtw+hkHt6vPuTvJg/JV92mflT8uMWb0TNDLpS33mASF7UNkjMiq+RiDP/Uvzw+CFKXJqvnkuWLMELL7yAl156CYcOHcLixYtx7NgxLFy4EED3K5a5c+dGll++fDnefPNNHD58GAcPHkRpaSnWr1+PRYsWmZeLOCgtKcSCqfm9npB4PfEf1gvIz6C78vbxWCkzu25pSaHqmWqj1zNjyGQizvxL8cPjhygx6Q569tvf/hY1NTUoKirCM888E+n/MW/ePFRXV2Pbtm0AgN/+9rdYtWoVTpw4gdTUVIwePRqlpaUoKSlRvT+7h/ZGYwRW69NNpITHD5E7WBZnxA5OaowQERGROpbEGSEiIiIyGxsjREREZCvO2muh2PfaE4ZnYc/Rk3zPTUREFIWNEYuIzSwaOycMZxolIiLiaxpLhGcWjZ1HI3ZOmNqmc7h7zV5sOlATx9QRERE5CxsjJuvsEvDEW5W9pjgXE17mibcq0aln9joiIqIEwMaIybTOqMuZRomIqK9jY8RkemcM5UyjRETUV7ExYjK9M4ZyplEiIuqr2BgxmdYZdTnTKBER9XVsjJhMbmbRWJxplIiIiI0RS0jNLBrb3uBMo0RERAx6ZplZRSHMKMxlBFYiIiIFbIxYyOf1oPiinB6fxf6fiIior+NrGiIiIrIVGyNERERkKzZGiIiIyFZsjBAREZGt2BghIiIiW7ExQkRERLZiY4SIiIhsxcYIERER2YqNESIiIrIVGyNERERkKzZGiIiIyFZsjBAREZGt2BghIiIiW7ExQkRERLZiY4SIiIhsxcYIERER2SrJ7gTY5fE3PsArH9RH/j/vewPw+A+/J7psZ5eA3Uca8N4X9fjkq5OoP92GFB9workdHV0CBvXzY/aYIag/ex55WanIH9APr7xfhVMt55GbGcDM0bk4fa4D/mQPVm79Eqda2uFP9uGHY4cg1D8NAzICyM1MwZX52ag9dQ7X/247zrZ1Ij3gw5OzL8Pf/n4aJ061IhRMQVaaH6daz8PrASYMzcLmz7/B/hNNCKYmY/6UCzF55ED4vB4AQOOZdtyy6n3UnW5Hv4APd//DhRiRk4GOzi68UXECLe2duGJENu64agTaO7qw+PV9OHayFXlZKbhl4nBUfHUKAgT0T01GesCHl3dVo+FMOzJTk/FoyShcNXIgXvvgKI42tmB4dhr+14Q8PP3uZ6huaMGInDQ8XFKIVL8Pre2d+PU7lahuaMEFwRTUNrXiYO0ZBJI8uPXKYfjZlIvgT/J2l/OXDSg/0oAuoQtZaQHkpPvRcLYdJ1va4PV4UXxRDiZdmAOf14Nj9S2Y9ex2tJ7vQmqyF5vu+z4uyE7Fh1WNqDt9DoMyuss0XB6Ruvx2H+G8DegXQG4wFVfmZwMAPqxqRG3zOTSeaUN2uj/y3ZlzHbjzlQ/xddM5DAmm4KV5VyKYlix6vHxY1YjaplY0nm1H/zQ/TrW0I7vfd/Xs83p6LFd/ph2nWtvhAVB84QBMuigHjWfa8cPn30Pj2fPITk/GG/dMRnY/f49tR2+zs0vAq+XVONrYgrysNFyam4HGlnYMSA/0qvPbJw1HxfFTvcopnCap8hPLZ93pcxiQHgA8QP2Ztsh6ALD7SAPKv6wH4EHxRTm4YkQ29hw9Gdn+2Lz+PY6hOcUj4PN6dKVBaVmx5ScMz+qRHqX1tYo+9qPPCSP5kFpWa1mYpb2jK3LchevQn+TVnK9Y8cqPXeVGPXkEQRC0rvT888/jqaeeQk1NDUaPHo3ly5djypQpkstv374dS5YswcGDBzFkyBA8+OCDWLhwoer9NTc3IxgMoqmpCZmZmVqT28uIh96W/K76Nzf0+P+mAzV4aMN+nGo5b3i/8RBI8uLZW8bi0TcP4O9n2u1ODgb286tKx4zCQfio+qSqcu6flozm1vPoUnHkhoIpeGx2IWYVhRTrsv+3DQux770eiO5veE4qtv/rtMj/Nx2owRNvVaKm6Zxsmm4cE8LGT2pkl9Mi3e9DS3snNJ/MCmmKLr9oSvnsn5aM9o4utLR39vjc4wHkfnE8ANL8PpyNWk9LGqSWlVo+tl7l1tdq/p8+wubKul6fzygchNVzr9CVD6lltdSdmcreqcTqnVU9ytDrAeZPyce4YVma6iea1rrVK1776cvUXr81N0Zef/11zJkzB88//zyuvvpq/OEPf8ALL7yAyspKDBs2rNfyVVVVKCoqwvz587FgwQLs2rUL99xzD9auXYubb77Z1MyoIdcQCQs3SDYdqMHCNXsN7Y/sFb6/uWtqPv6wo8qSfYQbJJsO1ODuNXt1NwicKFx+K24fH/lxjnc+taRBbFm55dXsSw+phkhYuEGiJR9ay92svEgpe6dS8zmlJk1a61aveO2nr1N7/dbcZ+Q//uM/8NOf/hQ/+9nPMGrUKCxfvhx5eXlYsWKF6PIrV67EsGHDsHz5cowaNQo/+9nPcOedd+Lpp5/WumvDHn/jA9XLdXYJeHzjQYtTRFYTvv1bvdOahggAHG1oReOZdjzxVmVCNUQARPLzxFuV6OwS0NklxD2fWtIQuywATWkWW1+r1vZO2YYIAGyurMOZcx2q86Gn3M3Ii5T2ji5d55RSmrTWrV7x2g+pp6kx0t7ejj179mDmzJk9Pp85cybef/990XXKy8t7LX/dddfh448/xvnz4o/L29ra0Nzc3OPPDNF9RJSW6+430GbKfsl+Vv+m3LLqfdNeuTiNAKCm6Rw+rGrEh1WNtuRTSxqilwWgOc2x62v163cqVS23+PV9qvOht9yN5kXKq+XVus8puTRprVu94rUfUk9TY6S+vh6dnZ0YPHhwj88HDx6M2tpa0XVqa2tFl+/o6EB9vXjjoKysDMFgMPKXl5enJZmmqDudmBcWskbdafv751it7vQ5288LLWkIL6c3zXrXq25oUbXcsZOtqtNhtNzNrrejjeryKEcsTVrr1sx9W7EfUk/X0F6Pp2dPY0EQen2mtLzY52GlpaVoamqK/B0/flxPMg0ZlJES932Sew3K8NudBMsNykix/bzQkobwcnrTrHe9ETlpqpYblpWqOh1Gy93sehuerS6PcsTSpLVuzdy3Ffsh9TQ1RgYMGACfz9frKUhdXV2vpx9hubm5ossnJSUhJydHdJ1AIIDMzMwef2aY970Bqpe7Mj8buZkBU/ZL9rN6pN66u65CKJiYP1wedI8wuDI/G1fmZyMUTEG8Bz5qSUP0sgA0pzl2fa0eLilUtdwzPx6nOh96y91oXqTMKR6h+5ySS5PWutUrXvsh9TQ1Rvx+PyZMmIDNmzf3+Hzz5s246qqrRNcpLi7utfy7776LiRMnIjm5d4wGK0nFERFbzuf14PEbR1ucIrKa59u/+VPyLdvH8JxUZPfz47HZhXG/SFstnJ/HZhfC5/XA5/XgsdmFPb5zUhpilwWgKc1i62uV6vdhRuEg2WVmFA5Cv5Qk1fnQU+5m5EWKP8mr6pxSUz/RtNatXvHaD6mn+TXNkiVL8MILL+Cll17CoUOHsHjxYhw7diwSN6S0tBRz586NLL9w4UIcPXoUS5YswaFDh/DSSy/hxRdfxAMPPGBeLjSIjSMi9/2sohBW3j4+En/CDQJJXqy8fTwG9nPGawO16ZhROEh1OWelJau+K8sNpmDF7eNRWlKoWJf905Ilv5faX3SckVlFIay4fbziE5JQMAULpuab+iQlPeAz1DiQSlO4/KKHOIbzmSuT/qy0ZKSJBPeSeZvb/T26Y6boTYPYsnLLx9ar1PparZ57hWSDJDrOiJZ8SC2rpe7MVFpSiAVT83uVodcDLJiaj5Ua6iea1rrVK177IXV0Bz377W9/i5qaGhQVFeGZZ57B1KlTAQDz5s1DdXU1tm3bFll++/btWLx4cSTo2dKlS20NegYwAisjsDICKyOwMgKrGRiBleRYFvTMDlY0RoiIiMhalgU9IyIiIjITGyNERERkKzZGiIiIyFZsjBAREZGt2BghIiIiW7ExQkRERLZiY4SIiIhsxcYIERER2YqNESIiIrJVkt0JUCMcJLa5udnmlBAREZFa4eu2UrB3VzRGTp8+DQDIy8uzOSVERESk1enTpxEMBiW/d8XcNF1dXfj666+RkZEBj9K0nxo0NzcjLy8Px48fT9g5bxI9j8yf+yV6HhM9f0Di55H5008QBJw+fRpDhgyB1yvdM8QVT0a8Xi+GDh1q2fYzMzMT8gCLluh5ZP7cL9HzmOj5AxI/j8yfPnJPRMLYgZWIiIhsxcYIERER2apPN0YCgQAee+wxBAIBu5NimUTPI/Pnfomex0TPH5D4eWT+rOeKDqxERESUuPr0kxEiIiKyHxsjREREZCs2RoiIiMhWbIwQERGRrRK+MfL8888jPz8fKSkpmDBhAnbu3Cm7/Pbt2zFhwgSkpKTgwgsvxMqVK+OUUv205HHbtm3weDy9/j777LM4pli9HTt2YPbs2RgyZAg8Hg/efPNNxXXcVIda8+e2+isrK8MVV1yBjIwMDBo0CDfddBM+//xzxfXcUod68ue2OlyxYgUuv/zySECs4uJi/OUvf5Fdxy31B2jPn9vqL1ZZWRk8Hg/uv/9+2eXiXYcJ3Rh5/fXXcf/99+ORRx7Bvn37MGXKFFx//fU4duyY6PJVVVUoKSnBlClTsG/fPjz88MP4xS9+gfXr18c55eppzWPY559/jpqamsjfyJEj45Ribc6ePYsxY8bgueeeU7W82+pQa/7C3FJ/27dvx7333ovdu3dj8+bN6OjowMyZM3H27FnJddxUh3ryF+aWOhw6dCh+85vf4OOPP8bHH3+MadOm4Qc/+AEOHjwouryb6g/Qnr8wt9RftI8++girVq3C5ZdfLrucLXUoJLArr7xSWLhwYY/PLr30UuGhhx4SXf7BBx8ULr300h6fLViwQJg0aZJlaTRKax63bt0qABBOnjwZh9SZC4DwxhtvyC7jxjoMU5M/N9efIAhCXV2dAEDYvn275DJurkM1+XN7HQqCIGRlZQkvvPCC6Hdurr8wufy5tf5Onz4tjBw5Uti8ebPw/e9/X7jvvvskl7WjDhP2yUh7ezv27NmDmTNn9vh85syZeP/990XXKS8v77X8ddddh48//hjnz5+3LK166clj2Lhx4xAKhTB9+nRs3brVymTGldvqUC+31l9TUxMAIDs7W3IZN9ehmvyFubEOOzs7sW7dOpw9exbFxcWiy7i5/tTkL8xt9XfvvffihhtuwLXXXqu4rB11mLCNkfr6enR2dmLw4ME9Ph88eDBqa2tF16mtrRVdvqOjA/X19ZalVS89eQyFQli1ahXWr1+PDRs2oKCgANOnT8eOHTvikWTLua0OtXJz/QmCgCVLlmDy5MkoKiqSXM6tdag2f26sw/3796Nfv34IBAJYuHAh3njjDRQWFoou68b605I/N9bfunXrsHfvXpSVlala3o46dMWsvUZ4PJ4e/xcEoddnSsuLfe4kWvJYUFCAgoKCyP+Li4tx/PhxPP3005g6daql6YwXN9ahWm6uv0WLFuHTTz/Fe++9p7isG+tQbf7cWIcFBQWoqKjAqVOnsH79etxxxx3Yvn275AXbbfWnJX9uq7/jx4/jvvvuw7vvvouUlBTV68W7DhP2yciAAQPg8/l6PSGoq6vr1eILy83NFV0+KSkJOTk5lqVVLz15FDNp0iQcPnzY7OTZwm11aAY31N/Pf/5zbNy4EVu3bsXQoUNll3VjHWrJnxin16Hf78fFF1+MiRMnoqysDGPGjMGzzz4ruqwb609L/sQ4uf727NmDuro6TJgwAUlJSUhKSsL27dvxu9/9DklJSejs7Oy1jh11mLCNEb/fjwkTJmDz5s09Pt+8eTOuuuoq0XWKi4t7Lf/uu+9i4sSJSE5OtiyteunJo5h9+/YhFAqZnTxbuK0OzeDk+hMEAYsWLcKGDRuwZcsW5OfnK67jpjrUkz8xTq5DMYIgoK2tTfQ7N9WfFLn8iXFy/U2fPh379+9HRUVF5G/ixIm47bbbUFFRAZ/P12sdW+rQsq6xDrBu3TohOTlZePHFF4XKykrh/vvvF9LT04Xq6mpBEAThoYceEubMmRNZ/ssvvxTS0tKExYsXC5WVlcKLL74oJCcnC//5n/9pVxYUac3jM888I7zxxhvC3/72N+HAgQPCQw89JAAQ1q9fb1cWZJ0+fVrYt2+fsG/fPgGA8B//8R/Cvn37hKNHjwqC4P461Jo/t9Xf3XffLQSDQWHbtm1CTU1N5K+lpSWyjJvrUE/+3FaHpaWlwo4dO4Sqqirh008/FR5++GHB6/UK7777riAI7q4/QdCeP7fVn5jY0TROqMOEbowIgiD8/ve/F4YPHy74/X5h/PjxPYbc3XHHHcL3v//9Hstv27ZNGDdunOD3+4URI0YIK1asiHOKtdOSx2XLlgkXXXSRkJKSImRlZQmTJ08W3n77bRtSrU54GF3s3x133CEIgvvrUGv+3FZ/YnkDILz88suRZdxch3ry57Y6vPPOOyO/LwMHDhSmT58euVALgrvrTxC0589t9ScmtjHihDr0CMK3vVKIiIiIbJCwfUaIiIjIHdgYISIiIluxMUJERES2YmOEiIiIbMXGCBEREdmKjREiIiKyFRsjREREZCs2RoiIiMhWbIwQERGRrdgYISIiIluxMUJERES2YmOEiIiIbPX/A2rbKKvDtw80AAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -301,15 +410,23 @@
     "ax.scatter(otsu[~exclude], top10p[~exclude])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "662df4a3-47d4-428c-94b8-b9a00107f821",
+   "metadata": {},
+   "source": [
+    "Broad agreement but too many overlapping points to see anything useful. Gratifying to notice that there are clearly more points above the diagonal, on the side of the stricter threshold. Let's try a sorted plot:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 20,
    "id": "34140e06-b4ed-4783-b24c-a1041025efa0",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -320,21 +437,29 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "ax.plot(np.sort(otsu[~exclude]), label=\"strict multi-Otsu\")\n",
-    "ax.plot(np.sort(top10p[~exclude]), label=\"top 10% score range\")\n",
+    "ax.plot(np.sort(otsu), label=\"strict multi-Otsu\")\n",
+    "ax.plot(np.sort(top10p[~exclude]), label=\"90th percentile of score range\")\n",
     "ax.set_title(\"Average EC overlap of top morphologs by cutoff\")\n",
     "ax.legend();"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "222e4f2d-767c-4839-bdab-25910edee9fb",
+   "metadata": {},
+   "source": [
+    "It looks like the 90th percentile cutoff is way steeper, but this may be due to a smaller x axis. Let's have a look at the distribution of average EC overlap:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 21,
    "id": "4b5646f0-2e55-430b-b58d-d285c39029ef",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -346,32 +471,335 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "# ax.hist(otsu[~exclude], bins=50, label=\"strict multi-Otsu\")\n",
-    "bla = top10p.copy()\n",
+    "bla = top10p[~exclude].copy()\n",
     "bla[bla.isna()] = -1\n",
     "ax.hist(bla, bins=50, label=\"top 10% score range\")\n",
     "# ax.legend()\n",
-    "ax.set_title(\"Average EC overlap of morphologs\\nwithin 10% of bit score range\");"
+    "ax.set_title(\"Average EC overlap of morphologs\\nwithin 90th percentile of bit score range\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eee20a98-88b3-4c80-95cf-0e8f1cf33e11",
+   "metadata": {},
+   "source": [
+    "Very impressive - almost exclusively complete agreement, and a bunch of cases between 3-4, which means only a few of the top morphologs disagree.\n",
+    "\n",
+    "How many enzymes are we comparing anyway?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
-   "id": "97a24f25-cea0-443a-8cf8-80e549a3e5c7",
+   "execution_count": 22,
+   "id": "d0cfa18c-3064-4668-a8f0-5057e9cc1d4e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.9688341478009375"
+       "7072"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "np.sum(top10p[~exclude]>3.) / np.sum(~exclude)"
+    "len(top10p) - np.sum(exclude)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72a2b3a9-4f17-4c26-b890-bebf46207975",
+   "metadata": {},
+   "source": [
+    "Same plot for Otsu threshold:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "901c7f7a-87ac-451d-9c73-d12034859bac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "# ax.hist(otsu[~exclude], bins=50, label=\"strict multi-Otsu\")\n",
+    "bla = otsu.copy()\n",
+    "bla[bla.isna()] = -1\n",
+    "ax.hist(bla, bins=50, label=\"top 10% score range\")\n",
+    "# ax.legend()\n",
+    "ax.set_title(\"Average EC overlap of morphologs\\nabove Otsu threshold\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f6a9880-b0a4-4fe0-b8a8-023dfdecc5a1",
+   "metadata": {},
+   "source": [
+    "A lot more cases with (way) less overlap. The Otsu thresholds are clearly too permissive.\n",
+    "\n",
+    "How many morphologs does each thresholding strategy allow?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "ff07a917-dc95-4af2-98a1-aea8cf24e3c8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.set_title(\"#morphologs considered\\n(90th percentile of bit score)\")\n",
+    "ax.hist(top10p_howmany, bins=50);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "673590d8-9488-48e1-b2b7-bac6f3a4dfee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.set_title(\"#morphologs considered\\n(Otsu threshold)\")\n",
+    "ax.hist(otsu_howmany, bins=50);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ee8046f-5a6c-4418-9239-1ebe32f7c1f4",
+   "metadata": {},
+   "source": [
+    "Same shape but different x axes; this was expected. Let's calculate some averages for the answer:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "aa53e3e1-ff2e-467b-b023-ae221b2a36ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7.3710407239819"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.mean(top10p_howmany[~exclude])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "cfa5e8f3-6831-4ca7-9457-73d2c2790783",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "13.736218211648893"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.mean(otsu_howmany)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "db72d4a2-f75f-4005-b023-8007894dbb69",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.715391961044127"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.mean(top10p[~exclude])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc76bd58-6936-47a5-93af-d0cac6bd4082",
+   "metadata": {},
+   "source": [
+    "Let's also try and answer the question of agreement/disagreement between the first and second best morpholog! We will restrict this to the 90th percentile, which clearly does a better job at identifying cases with significant structural similarity:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "1340af82-0bda-4ca3-b60d-b3cbd0a10776",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def first_and_second(df, cutoffs):\n",
+    "    agreement = calc_EC_overlap(df)\n",
+    "    query = df.iloc[0][\"query\"]\n",
+    "    top10percent = df[\"bit score\"] > cutoffs[\"top10%\"].loc[query]\n",
+    "    try:\n",
+    "        return agreement[top10percent].iloc[1]\n",
+    "    except IndexError:\n",
+    "        return -1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "82281648-ccaa-4860-90a3-48961df62564",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top10p_12 = slim.groupby(\"query\").apply(first_and_second, cutoffs=cutoffs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "a684720f-92d9-46ab-82a2-d368eda050f9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([0, 1, 2, 3, 4]), array([ 299,  133,   74,  188, 6378]))"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.unique(top10p_12[~exclude], return_counts=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "b7f15b68-ef6b-40ad-9368-f1d9a1220b2b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.1088115396676074"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.sum(top10p_12[~exclude] < 4) / np.sum(top10p_12[~exclude] > 3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "db54d8dc-302f-4dc3-8abf-03c357796d49",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.07933521480087802"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.sum(top10p_12[~exclude] < 3) / np.sum(top10p_12[~exclude] > 3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "cb1dc184-a42f-4716-9b4c-6ccc58d5c0e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.0235220058305226"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.mean(otsu)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ae4a950-eb83-44d8-aad8-0f493ec62c78",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "For enzymes, there are on average 7.37 top morphologs for each query within a certain score margin (90th percentile of bit score range); their function has almost no variation at all, with an average EC overlap with the top hit of 3.7/4.\n",
+    "\n",
+    "For the same group of proteins, the first and second best morphologs differ in EC number approx. 11% of the time."
    ]
   }
  ],
-- 
GitLab