From be5b6cef35d0557aa6faa196ff894ecc52d912da Mon Sep 17 00:00:00 2001
From: Yan Wong <yan.wong@bdi.ox.ac.uk>
Date: Fri, 6 Feb 2026 13:41:33 +0000
Subject: [PATCH] Make a nicer tskit demo notebook

---
 content/data/demo.trees |  Bin 339828 -> 339812 bytes
 content/tskit.ipynb     | 1030 ++++++++-------------------------------
 requirements.txt        |    4 +
 3 files changed, 216 insertions(+), 818 deletions(-)

diff --git a/content/data/demo.trees b/content/data/demo.trees
index 6537e0d286ac08566905185d3eb1f3406332859f..c460c3de43337068ad73862d13767e88ddca0208 100644
GIT binary patch
delta 385
zcmexzPvprx5y4Jx$6#JADK16^1_nDIPT45f&%+orc_EKEC&OD7pa=s4%jAX3>XSKm
z1sDY;OY+(?CQOdxwP!5=$xgo*%c4B_0IvjN#pIhnsffvveD+Ki7$z%n$xk$3pWMJF
z!FXZvOrV&D090%ezXYSlWJ!K|MuW+bK+>UkCV%@(enuc>0%GRvGx=E}&oG<l8Eogj
z!!n0UvbZF_AU?4qJ|{mpF(*E^C^=EdN+GW_CujSLXDnunOoj&27rtT1+wS{<WgCoV
zINkIWi!a!a`L9?QnV^b_<G~(U!Nb5Xg^z(DNRWZS$iT=<*T6{E&>+Onz{=Rn%E(;L
z*wnz(!Wg@Zk&&eZb{P|ML(}bfZ&@BWsu-Ij8<?k>nCP0PStRSGnIxO&rkI%|>zZ1a
OB&H^%B_<^%83F*v+i3m(

delta 413
zcmaEIPvpxz5y4Jx$6#JADK16^1_nDIF4-v9&%>BLc_EKEr@&hlpa=s4%jAX3>XSKm
z1sD}3OY+(?7EF%hwP$Sr$xgo*%c4B_0IvjN$K;zpsf@{zeD+Ka7$z%n$xk$3pWMJF
z!T4bEOrThV090%ezXW5%WJ!K|Mu*9fKr*0tCV%@(enuc>0%GRvGx=E}&&V3<8SAB_
zmYEr7ryC|(m?at*8S14N85o%wm>OD6pZ$VGX}kCxmMX68YoD<gGcuY^?|H+Lw>{tm
z%Qh&-aJuCy7GGk_S^bLTK2%e2)KVS>h6#KO4C#Ul3_$D5bPWu34UIz#jjRmKtqe@`
zEX~YJj0~~Mm|L1!VwEvBFg3Q^9`}~zk)ukQk+Gp!lBuz7nxR3mZc1WuvaW%tMWU{O
PWn!{%a!OjFrI`@`zTt7q

diff --git a/content/tskit.ipynb b/content/tskit.ipynb
index 855b2b2..5748f6a 100644
--- a/content/tskit.ipynb
+++ b/content/tskit.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "4df88319-4951-4846-80ea-b8026c0eb096",
+   "id": "19a48cc0-ae22-4840-a9dd-2a73b665f32a",
    "metadata": {},
    "source": [
     "<div style=\"color: white; background-color: #03303e; display: flex; align-items: flex-start; margin-bottom: 1em\">\n",
@@ -11,13 +11,13 @@
     "    <figcaption style=\"font-size: 0.6em; line-height: 1em\">Interactive workbooks</figcaption>\n",
     "</figure>\n",
     "    <h1 style=\"margin: auto\">An interactive tour of <em>tskit</em></span></h1></div>\n",
-    "\n",
-    "<div class=\"alert alert-block alert-info\"><b>Note:</b> This uses the <em>tskit</em> <a href=\"https://tskit.dev/tskit/docs/stable/python-api.html\">Python interface</a>. Press \"shift-enter\" (or click the toolbar \"run\" button, &#9654;) to run a notebook cell and move to the next one. Repeat this from the top of the workbook to work gradually through the demonstration code.</div>"
+    "This tour uses the <em>tskit</em> <a href=\"https://tskit.dev/tskit/docs/stable/python-api.html\">Python interface</a>. Press \"shift-enter\" (or click the toolbar \"run\" button, &#9654;) to run a notebook cell and move to the next one. Repeat this from the top of the workbook to work gradually through the demonstration code.\n",
+    "<div class=\"alert alert-block alert-info\"><b>Note:</b> For static worked examples see our <a href=\"https://tskit.dev/tutorials/\">tutorials site</a>, which includes introductions for <a href=\"https://tskit.dev/tutorials/popgen.html\">population genetics</a> and <a <a href=\"https://tskit.dev/tutorials/phylogen.html\">phylogenetics</a>.</div>"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "19a48cc0-ae22-4840-a9dd-2a73b665f32a",
+   "id": "0969a7e2-ac66-4d98-bf16-af2a5389bd06",
    "metadata": {},
    "source": [
     "## Loading an ARG in tree sequence format"
@@ -25,8 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "ad71f199",
+   "execution_count": null,
+   "id": "07cc7710-49f1-4e90-98a9-f0ed6c1f476f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "4961282f",
    "metadata": {},
    "outputs": [],
@@ -48,701 +48,64 @@
    "id": "058be451-3ea5-4833-82ce-230d53390585",
    "metadata": {},
    "source": [
-    "In a notebook, we can show a tabular summary of the tree sequence file by displaying it to screen. Note that the [provenances](https://tskit.dev/tskit/docs/stable/provenance.html) listed in the second table below record how this ARG was originally generated (in this case, initially simulated by the [msprime](https://tskit.dev/msprime/docs/stable/intro.html) command `sim_ancestry`)."
+    "In a notebook, we can show a tabular summary of the tree sequence file by displaying it to screen:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "1a896cb8",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "        <div>\n",
-       "            <style>\n",
-       "                .tskit-table thead tr th {text-align: left;padding: 0.5em 0.5em;}\n",
-       "                .tskit-table tbody tr td {padding: 0.5em 0.5em;}\n",
-       "                .tskit-table tbody tr td:first-of-type {text-align: left;}\n",
-       "                .tskit-details-label {vertical-align: top; padding-right:5px;}\n",
-       "                .tskit-table-set {display: inline-flex;flex-wrap: wrap;margin: -12px 0 0 -12px;width: calc(100% + 12px);}\n",
-       "                .tskit-table-set-table {margin: 12px 0 0 12px;}\n",
-       "                details {display: inline-block;}\n",
-       "                summary {cursor: pointer; outline: 0; display: list-item;}\n",
-       "            </style>\n",
-       "            <div class=\"tskit-table-set\">\n",
-       "                <div class=\"tskit-table-set-table\">\n",
-       "                    <table class=\"tskit-table\">\n",
-       "                        <thead>\n",
-       "                            <tr>\n",
-       "                                <th style=\"padding:0;line-height:21px;\">\n",
-       "                                    <img style=\"height: 32px;display: inline-block;padding: 3px 5px 3px 0;\" src=\"https://raw.githubusercontent.com/tskit-dev/administrative/main/tskit_logo.svg\"/>\n",
-       "                                    <a target=\"_blank\" href=\"https://tskit.dev/tskit/docs/latest/python-api.html#the-treesequence-class\"> Tree Sequence </a>\n",
-       "                                </th>\n",
-       "                            </tr>\n",
-       "                        </thead>\n",
-       "                        <tbody>\n",
-       "                            <tr><td>Trees</td><td>1 811</td></tr>\n",
-       "                            <tr><td>Sequence Length</td><td>1 000 000</td></tr>\n",
-       "                            <tr><td>Time Units</td><td>generations</td></tr>\n",
-       "                            <tr><td>Sample Nodes</td><td>80</td></tr>\n",
-       "                            <tr><td>Total Size</td><td>375.2 KiB</td></tr>\n",
-       "                            <tr>\n",
-       "                                <td>Metadata</td><td style=\"text-align: left;\">No Metadata</td>\n",
-       "                            </tr>\n",
-       "                        </tbody>\n",
-       "                    </table>\n",
-       "                </div>\n",
-       "                <div class=\"tskit-table-set-table\">\n",
-       "                    <table class=\"tskit-table\">\n",
-       "                        <thead>\n",
-       "                            <tr>\n",
-       "                                <th style=\"line-height:21px;\">Table</th>\n",
-       "                                <th>Rows</th>\n",
-       "                                <th>Size</th>\n",
-       "                                <th>Has Metadata</th>\n",
-       "                            </tr>\n",
-       "                        </thead>\n",
-       "                        <tbody>\n",
-       "                            \n",
-       "            <tr>\n",
-       "                <td>Edges</td>\n",
-       "                <td>6 979</td>\n",
-       "                <td>218.1 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Individuals</td>\n",
-       "                <td>40</td>\n",
-       "                <td>1.1 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Migrations</td>\n",
-       "                <td>0</td>\n",
-       "                <td>8 Bytes</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Mutations</td>\n",
-       "                <td>989</td>\n",
-       "                <td>35.8 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Nodes</td>\n",
-       "                <td>1 337</td>\n",
-       "                <td>36.6 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Populations</td>\n",
-       "                <td>7</td>\n",
-       "                <td>454 Bytes</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    ✅\n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Provenances</td>\n",
-       "                <td>3</td>\n",
-       "                <td>4.5 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "            <tr>\n",
-       "                <td>Sites</td>\n",
-       "                <td>989</td>\n",
-       "                <td>24.2 KiB</td>\n",
-       "                <td style=\"text-align: center;\">\n",
-       "                    \n",
-       "                </td>\n",
-       "            </tr>\n",
-       "        \n",
-       "                        </tbody>\n",
-       "                    </table>\n",
-       "                </div>\n",
-       "                <div class=\"tskit-table-set-table\">\n",
-       "                    <table class=\"tskit-table\">\n",
-       "                        <thead>\n",
-       "                            <tr>\n",
-       "                                <th>Provenance Timestamp</th>\n",
-       "                                <th>Software Name</th>\n",
-       "                                <th>Version</th>\n",
-       "                                <th>Command</th>\n",
-       "                                <th>Full record</th>\n",
-       "                            </tr>\n",
-       "                        </thead>\n",
-       "                        <tbody>\n",
-       "                            \n",
-       "                <tr>\n",
-       "                    <td>13 January, 2026 at 12:17:04 PM</td>\n",
-       "                    <td>msprime</td>\n",
-       "                    <td>1.3.3.dev60+g1a86a021.d20250519</td>\n",
-       "                    <td>sim_mutations</td>\n",
-       "                    <td>\n",
-       "                        <details>\n",
-       "                            <summary>Details</summary>\n",
-       "                            \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    schema_version: 1.0.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">software:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    name: msprime<br/>version: 1.3.3.dev60+g1a86a021.d2025051<br/>9<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">parameters:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    command: sim_mutations<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">tree_sequence:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    __constant__: __current_ts__<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>rate: 5e-08<br/>model: None<br/>start_time: None<br/>end_time: None<br/>discrete_genome: None<br/>keep: None<br/>random_seed: 123<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">environment:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">os:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    system: Darwin<br/>node: Yans-M2.local<br/>release: 24.6.0<br/>version: Darwin Kernel Version 24.6.0:<br/>Mon Jul 14 11:30:51 PDT 2025; <br/>root:xnu-<br/>11417.140.69~1/RELEASE_ARM64_T<br/>8...<br/>machine: arm64<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">python:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    implementation: CPython<br/>version: 3.12.5<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">libraries:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">kastore:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 2.1.1<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">tskit:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 1.0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">gsl:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 2.8<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            \n",
-       "                        </details>\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "            \n",
-       "                <tr>\n",
-       "                    <td>13 January, 2026 at 12:17:04 PM</td>\n",
-       "                    <td>tskit</td>\n",
-       "                    <td>1.0.0</td>\n",
-       "                    <td>simplify</td>\n",
-       "                    <td>\n",
-       "                        <details>\n",
-       "                            <summary>Details</summary>\n",
-       "                            \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    schema_version: 1.0.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">software:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    name: tskit<br/>version: 1.0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">parameters:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    command: simplify<br/>TODO: add simplify parameters<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">environment:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">os:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    system: Darwin<br/>node: Yans-M2.local<br/>release: 24.6.0<br/>version: Darwin Kernel Version 24.6.0:<br/>Mon Jul 14 11:30:51 PDT 2025; <br/>root:xnu-<br/>11417.140.69~1/RELEASE_ARM64_T<br/>8...<br/>machine: arm64<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">python:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    implementation: CPython<br/>version: 3.12.5<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">libraries:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">kastore:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 2.1.1<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            \n",
-       "                        </details>\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "            \n",
-       "                <tr>\n",
-       "                    <td>13 January, 2026 at 12:17:04 PM</td>\n",
-       "                    <td>msprime</td>\n",
-       "                    <td>1.3.3.dev60+g1a86a021.d20250519</td>\n",
-       "                    <td>sim_ancestry</td>\n",
-       "                    <td>\n",
-       "                        <details>\n",
-       "                            <summary>Details</summary>\n",
-       "                            \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    schema_version: 1.0.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">software:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    name: msprime<br/>version: 1.3.3.dev60+g1a86a021.d2025051<br/>9<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">parameters:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    command: sim_ancestry<br/>samples: None<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">demography:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">populations:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 500<br/>growth_rate: 0.0<br/>name: A<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: None<br/>initially_active: None<br/>id: 0<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 500<br/>growth_rate: 0.0<br/>name: B<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: None<br/>initially_active: None<br/>id: 1<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 300<br/>growth_rate: 0.0<br/>name: C<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: None<br/>initially_active: None<br/>id: 2<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 1000<br/>growth_rate: 0.0<br/>name: D<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: None<br/>initially_active: None<br/>id: 3<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 500<br/>growth_rate: 0.0<br/>name: pop_4<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: 250.0<br/>initially_active: False<br/>id: 4<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 500<br/>growth_rate: 0.0<br/>name: pop_5<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: 210.0<br/>initially_active: False<br/>id: 5<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    initial_size: 500<br/>growth_rate: 0.0<br/>name: pop_6<br/>description: <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">extra_metadata:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>default_sampling_time: 400.0<br/>initially_active: False<br/>id: 6<br/>__class__: msprime.demography.Population<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">events:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    time: 210.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">derived:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     C<br/> D<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>ancestral: pop_5<br/>__class__: msprime.demography.PopulationS<br/>plit<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    time: 250.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">derived:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     A<br/> B<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>ancestral: pop_4<br/>__class__: msprime.demography.PopulationS<br/>plit<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    time: 400.0<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">derived:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     pop_4<br/> pop_5<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>ancestral: pop_6<br/>__class__: msprime.demography.PopulationS<br/>plit<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">migration_matrix:</span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\"></span>\n",
-       "                <details >\n",
-       "                    <summary>list</summary>\n",
-       "                     0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/> 0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>__class__: msprime.demography.Demography<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>sequence_length: 1000000.0<br/>discrete_genome: None<br/>recombination_rate: 1e-07<br/>gene_conversion_rate: None<br/>gene_conversion_tract_length: None<br/>population_size: None<br/>ploidy: None<br/>model: None<br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">initial_state:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    __constant__: __current_ts__<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>start_time: None<br/>end_time: None<br/>record_migrations: None<br/>record_full_arg: None<br/>additional_nodes: None<br/>coalescing_segments_only: None<br/>num_labels: None<br/>random_seed: 123<br/>replicate_index: 0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">environment:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">os:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    system: Darwin<br/>node: Yans-M2.local<br/>release: 24.6.0<br/>version: Darwin Kernel Version 24.6.0:<br/>Mon Jul 14 11:30:51 PDT 2025; <br/>root:xnu-<br/>11417.140.69~1/RELEASE_ARM64_T<br/>8...<br/>machine: arm64<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">python:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    implementation: CPython<br/>version: 3.12.5<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">libraries:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    \n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">kastore:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 2.1.1<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">tskit:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 1.0.0<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "            <div>\n",
-       "                <span class=\"tskit-details-label\">gsl:</span>\n",
-       "                <details >\n",
-       "                    <summary>dict</summary>\n",
-       "                    version: 2.8<br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            <br/>\n",
-       "                </details>\n",
-       "            </div>\n",
-       "            \n",
-       "                        </details>\n",
-       "                    </td>\n",
-       "                </tr>\n",
-       "            \n",
-       "                        </tbody>\n",
-       "                    </table>\n",
-       "                </div>\n",
-       "            </div>\n",
-       "            <div style=\"margin-top: 1em; font-size: 0.8em; text-align: center;\">\n",
-       "                To cite this software, please consult the citation manual: <a href=\"https://tskit.dev/citation/\" target=\"_blank\">https://tskit.dev/citation/</a>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<tskit.trees.TreeSequence at 0x104760a70>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "ts  # Running this notebook cell should display a tabular summary of the `ts` object"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87010aa7-6f8e-49e2-8910-2a7f63d7e773",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\"><b>Note:</b> the <a href=\"https://tskit.dev/tskit/docs/stable/provenance.html\">provenances</a> listed above (in the last part of the output) show how this tree sequence was originally generated. In this case, close inspection shows it was initially simulated by the command <a href=\"https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_ancestry\"><code>sim_ancestry()</code></a>, provided by <a href=\"https://tskit.dev/msprime/docs/stable/intro.html\"><i>msprime</i></a> version 1.4.0, then simplified, with mutations finally added using the <i>msprime</i> <a href=\"https://tskit.dev/msprime/docs/stable/api.html#msprime.sim_mutations\"><code>sim_mutations()</code></a> function.</div>\n",
+    "\n",
+    "Each [node](https://tskit.dev/tskit/docs/stable/data-model.html#node-table) in the tree sequence represents a (haploid) genome. *Sample* nodes are the (usually current-day) genomes whose DNA sequences are known. In this tree sequence there are 80 sample nodes, belonging to 40 (diploid) individuals.\n",
+    "\n",
+    "## Mutations and genetic variation\n",
+    "\n",
+    "*Mutations* on an ARG define the DNA sequence of the samples. These cause sample nodes to differ from each other at a number of *variable sites*."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4d4a32c-28aa-45c2-8a5d-dc8cfdb3d49d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(\n",
+    "    f\"The mutations in this ARG define {ts.num_sites} sites,\",\n",
+    "    f\"for {ts.num_samples} sample genomes,\",\n",
+    "    f\"over a total length of {ts.sequence_length} base pairs\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3ca91e59-2c3f-446b-8926-ec08a60ce716",
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "ts"
+    "for v in ts.variants():\n",
+    "    print(\n",
+    "        \"For the first variable site, the allelic state for\",\n",
+    "        f\"{ts.num_samples} genomes at position {v.site.position} is:\\n\",\n",
+    "        v.states(),\n",
+    "    )\n",
+    "    print(f\"At variable site number # {v.site.id} (at position {v.site.position} basepairs along the chromosome)\")\n",
+    "    for state, freq in v.frequencies().items():\n",
+    "        print(f\"* the frequency of {state} is {freq}\")\n",
+    "    break"
    ]
   },
   {
@@ -750,25 +113,19 @@
    "id": "4c94268a-94b0-48d6-9321-05687cbc33f3",
    "metadata": {},
    "source": [
-    "## Analysis \n",
+    "## Basic analysis \n",
     "\n",
-    "Below are a few examples of analysing the loaded _tskit_ ARG. Feel free to change them and re-run the cells. Documentation for the methods is here: https://tskit.dev/tskit/docs/stable/python-api.html (e.g. see [here](https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.allele_frequency_spectrum) for the allele frequency spectrum)."
+    "Genetic analysis using tree sequences is usually incredibly fast, even for huge sample sizes. Here are a few examples of analysing the loaded _tskit_ ARG: feel free to change them and re-run the cells.\n",
+    "\n",
+    "Documentation for the methods is here: https://tskit.dev/tskit/docs/stable/python-api.html (e.g. see [here](https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.allele_frequency_spectrum) for the allele frequency spectrum)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "9c518928-5a62-40d4-866d-0488616b4461",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AFS calculated for 80 genomes of length 1.00 Mb\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Calculate the unpolarised allele frequency spectrum\n",
     "afs = ts.allele_frequency_spectrum(polarised=False)\n",
@@ -777,21 +134,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "f1accb0d-cf44-430d-8ae5-534800e72663",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# and plot it\n",
     "from matplotlib import pyplot as plt\n",
@@ -803,23 +149,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "47dbd599-86f1-4693-88dc-9c8fd457168b",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# Calculate windowed genetic diversity\n",
+    "# Calculate and plot genetic diversity in windows along the genome\n",
     "genome_windows = list(range(0, int(ts.sequence_length+1), 20_000))  # or `np.linspace(0, ts.sequence_length, 51)`\n",
     "windowed_diversity = ts.diversity(windows=genome_windows)\n",
     "plt.stairs(windowed_diversity, genome_windows)\n",
@@ -828,23 +163,80 @@
     "plt.title(\"Diversity along the genome\");\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bc775623-ab88-4cb0-b01e-f1cf440e2fbe",
+   "metadata": {},
+   "source": [
+    "## IDs and underlying data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cf85d30e-78ef-47a9-b311-6e119ca70c31",
+   "metadata": {},
+   "source": [
+    "At its heart, a tree sequence is just a collection of tables. For example, genomes are represented by **nodes** in the *nodes table*. Each is referred to by an ID, which is simply its row number in the table. Note that all IDs start with 0, not 1. Here, for instance is the first node (ID: 0) in the nodes table:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "580fb9e1-e87b-45e4-9b32-dc4133579c4f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts.node(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3611b3ae-0f14-4802-a4e4-97565fd86693",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\"><b>Note:</b> The fact that the flag is an odd number indicates that node 0 is a <i>sample node</i>. Nodes that are not samples usually represent ancestral genomes.</div>\n",
+    "\n",
+    "Here's another table (the _populations_ table, usually much smaller than the nodes table). You can see that simulation defines 7 different populations, with IDs 0 to 6. Above, node 0 was shown as belonging to population 0 (i.e. the population named \"A\" below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37d9d7de-bfd3-49d7-8f1d-363622da2405",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts.tables.populations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "331f0ada-7af9-4802-aca7-23631ee386db",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\"><b>Note:</b> It is not necessary to define or use populations: they are a <i>tskit</i> convenience for grouping multiple nodes together. In other words, the populations table can be left empty, in which case each node should refererence a \"population\" with ID <a href=\"https://tskit.dev/tskit/docs/stable/python-api.html#tskit.NULL\"><code>tskit.NULL</code> (-1)</a>. Similarly although sample nodes are commonly paired into a diploid <a href=\"https://tskit.dev/tskit/docs/stable/data-model.html#individual-table\">individuals</a>, this is not a strict requirement for a <a href=\"https://tskit.dev/tskit/docs/stable/data-model.html#valid-tree-sequence-requirements\">valid tree sequence</a>.</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52b473a2-656c-4c4c-a826-d5684f1fbf41",
+   "metadata": {},
+   "source": [
+    "## More complex analysis \n",
+    "\n",
+    "_Tskit_ is designed to allow users to write their own analysis tools, but also has several sophisticated built-in analysis methods.\n",
+    "\n",
+    "### Principle components analysis\n",
+    "\n",
+    "Here is an example of efficient principle components analysis (PCA). Each point is one of the 80 genomes, but the _tskit_ implementation scales to millions of genomes. Here we using `mode=\"branch\"`, the default for PCA analysis, which means that we don't even need mutations (realised genetic variation) to look at genetic distances (see [this tutorial](https://tskit.dev/tutorials/no_mutations.html))."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "981b617f-8de5-4766-81ac-cac0f22a371c",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Calculate the first 2 principle components for every haploid genome\n",
     "# For a more conventional PCA of diploid individuals, use the `individuals` argument)\n",
@@ -856,8 +248,8 @@
     "    use = ts.samples(population=pop.id)  # `use = ts.individual_populations == pop.id` if using individuals\n",
     "    if use.any():\n",
     "        plt.scatter(*pca_output.factors[use, :].T, label=f'Population {pop.metadata[\"name\"]}')\n",
-    "plt.xlabel(\"PCA 1\")\n",
-    "plt.ylabel(\"PCA 2\")\n",
+    "plt.xlabel(\"PC 1\")\n",
+    "plt.ylabel(\"PC 2\")\n",
     "plt.legend();"
    ]
   },
@@ -866,28 +258,19 @@
    "id": "e431618b-68be-4142-8af5-c0cc5b5c6593",
    "metadata": {},
    "source": [
-    "_Tskit_ has built-in tools for calculating coalescence and cross-coalescence rates. Below you can see that there is no coalescence between populations A and B more recently than 250 generations ago, suggesting populations A and B split around this time, whereas C and D probably split more recently, about 200 generations ago. This could partially explain why points from C and D partially overlapping on the PCA plot above.\n",
+    "### Coalescence rates\n",
+    "\n",
+    "Built-in tools exist to calculate coalescence and cross-coalescence rates. Below you can see that there is no coalescence between populations A and B more recently than 250 generations ago, suggesting populations A and B split around this time, whereas C and D probably split more recently, about 200 generations ago. This could partially explain why points from C and D partially overlapping on the PCA plot above.\n",
     "\n",
-    "Note that the \"inverse instantaneous coalescence rate\" (IICR) is sometimes known as the effective population size or $N_e$, which is often used in population genetics"
+    "Note that the \"inverse instantaneous coalescence rate\" (IICR) is sometimes known as the effective population size or $N_e$, which is often used in population genetics."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "d1ee91c9-3eba-41dc-9a74-03b202405c86",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "num_timebins = 20 \n",
@@ -909,7 +292,7 @@
     "plt.yscale(\"log\")\n",
     "plt.xlabel(f\"Time ({ts.time_units})\")\n",
     "plt.ylabel(f\"Genome-wide instantaneous coalescence rate\")\n",
-    "plt.legend();"
+    "#plt.legend();"
    ]
   },
   {
@@ -917,26 +300,17 @@
    "id": "93a395f2-2fdb-4f2d-b9a0-a763510b79dc",
    "metadata": {},
    "source": [
+    "### Windowing in time and space\n",
+    "\n",
     "Like all other tskit statistics, we can window coalescence rates along the genome. Below you can see a burst of coalescence (red) at about 170 generations ago around 0.3Mb along the genome, with an absence of coalescence information (grey) within that population at more distant times for that genomic region. This is indicative of a selective sweep at that genomic location (particularly clear because of the cleanliness of simulated data)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "deaa639c-b4d6-460a-a1c0-c8416eb38d50",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "time_breaks = np.concatenate(( # NB: first bin must start at sample time & last at infinity\n",
     "    [0], np.logspace(np.log10(35), np.log10(ts.max_time/10), num_timebins - 2), [np.inf]\n",
@@ -955,6 +329,50 @@
     "plt.title(\"Local coalescence densities for population A\");"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "657053da-0846-4eb4-ae4b-d7eeee2d8d2f",
+   "metadata": {},
+   "source": [
+    "## Information about a tree sequence's origin (\"provenance\")\n",
+    "\n",
+    "For reproducability, the [provenance table](https://tskit.dev/tskit/docs/stable/provenance.html) stores information about how a tree sequence was generated. The amount of detail is down to the tool(s) used to make the tree sequence. In this case, _msprime_ was used, which stores extensive provenance information including the simulated [demographic model](https://tskit.dev/msprime/docs/stable/demography.html). This can be plotted using the [demesdraw](https://grahamgower.github.io/demesdraw) software."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "021117aa-a70b-4bcd-a955-baa543a6465b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "if sys.platform == 'emscripten':  # only needed for jupyterlite to load demesdraw\n",
+    "    await micropip.install(\"demesdraw\")\n",
+    "\n",
+    "import demesdraw\n",
+    "import msprime\n",
+    "\n",
+    "first_provenance_entry = ts.provenance(0)\n",
+    "cmd, parameters = msprime.provenance.parse_provenance(first_provenance_entry, ts)\n",
+    "assert cmd == \"sim_ancestry\"  # just check we have the right (zeroth) provenance entry\n",
+    "\n",
+    "msprime_demography_object = parameters[\"demography\"]\n",
+    "demesdraw.tubes(\n",
+    "    msprime_demography_object.to_demes(),\n",
+    "    colours={\"A\": \"tab:blue\", \"B\": \"tab:orange\", \"C\": \"tab:green\", \"D\": \"tab:red\"},\n",
+    "    log_time=False,\n",
+    ");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2e63d6c-6881-4860-b226-4ff7dd9dd94f",
+   "metadata": {},
+   "source": [
+    "The demography explains the pattern that was seen in the PCA and the cross-coalescence rates, where populations C and D split more recently than A and B."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "6de5e1d0-2e10-4a71-a1ae-6c90bed6c103",
@@ -962,33 +380,19 @@
    "source": [
     "## Tree plotting\n",
     "\n",
-    "_Tskit_ records ancestral trees along the genome. These can be easily plotted"
+    "The tree sequence allows fast extraction of ancestral trees along the genome, which can be easily plotted"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "904b74ab-8fd2-4d52-8e18-5371e4ead31a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
-       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:ev=\"http://www.w3.org/2001/xml-events\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" baseProfile=\"full\" height=\"250\" version=\"1.1\" width=\"1000\"><defs><style type=\"text/css\"><![CDATA[.background path {fill: #808080; fill-opacity: 0}.background path:nth-child(odd) {fill-opacity: .1}.x-regions rect {fill: yellow; stroke: black; opacity: 0.5}.axes {font-size: 14px}.x-axis .tick .lab {font-weight: bold; dominant-baseline: hanging}.axes, .tree {font-size: 14px; text-anchor: middle}.axes line, .edge {stroke: black; fill: none}.axes .ax-skip {stroke-dasharray: 4}.y-axis .grid {stroke: #FAFAFA}.node > .sym {fill: black; stroke: none}.site > .sym {stroke: black}.mut text {fill: red; font-style: italic}.mut.extra text {fill: hotpink}.mut line {fill: none; stroke: none}.mut .sym {fill: none; stroke: red}.mut.extra .sym {stroke: hotpink}.node .mut .sym {stroke-width: 1.5px}.tree text, .tree-sequence text {dominant-baseline: central}.plotbox .lab.lft {text-anchor: end}.plotbox .lab.rgt {text-anchor: start}.polytomy line {stroke: black; stroke-dasharray: 1px, 1px}.polytomy text {paint-order:stroke;stroke-width:0.3em;stroke:white}]]></style></defs><g class=\"tree t0\"><g class=\"plotbox\"><g class=\"c2 node n1175 p6 root\" transform=\"translate(793.205 43.6)\"><g class=\"a1175 c2 node n992 p6\" transform=\"translate(133.639 105.295)\"><g class=\"a992 c2 node n218 p3\" transform=\"translate(41.1562 61.7368)\"><g class=\"a218 i30 leaf node n61 p3 sample\" transform=\"translate(-6 7.5682)\"><path class=\"edge e345\" d=\"M 0 0 V -7.5682 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a218 i39 leaf node n78 p3 sample\" transform=\"translate(6 7.5682)\"><path class=\"edge e346\" d=\"M 0 0 V -7.5682 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e4784\" d=\"M 0 0 V -61.7368 H -41.1562\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a992 c2 node n962 p6\" transform=\"translate(-41.1562 5.11056)\"><g class=\"a962 c2 node n470 p1\" transform=\"translate(-37.3125 43.5174)\"><g class=\"a470 c2 node n321 p1\" transform=\"translate(23.625 8.04994)\"><g class=\"a321 i11 leaf node n22 p1 sample\" transform=\"translate(-6 12.6271)\"><path class=\"edge e680\" d=\"M 0 0 V -12.6271 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a321 i19 leaf node n38 p1 sample\" transform=\"translate(6 12.6271)\"><path class=\"edge e681\" d=\"M 0 0 V -12.6271 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1312\" d=\"M 0 0 V -8.04994 H -23.625\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a470 c2 node n430 p1\" transform=\"translate(-23.625 2.69296)\"><g class=\"a430 i10 leaf node n20 p1 sample\" transform=\"translate(-18.75 17.9841)\"><path class=\"edge e1112\" d=\"M 0 0 V -17.9841 H 18.75\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a430 c2 node n334 p1\" transform=\"translate(18.75 4.5161)\"><g class=\"a334 i12 leaf node n24 p1 sample\" transform=\"translate(10.5 13.468)\"><path class=\"edge e732\" d=\"M 0 0 V -13.468 H -10.5\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a334 c2 node n249 p1\" transform=\"translate(-10.5 4.31819)\"><g class=\"a249 i16 leaf node n32 p1 sample\" transform=\"translate(9 9.14978)\"><path class=\"edge e454\" d=\"M 0 0 V -9.14978 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a249 c2 node n115 p1\" transform=\"translate(-9 6.44364)\"><g class=\"a115 i11 leaf node n23 p1 sample\" transform=\"translate(-6 2.70614)\"><path class=\"edge e75\" d=\"M 0 0 V -2.70614 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a115 i18 leaf node n36 p1 sample\" transform=\"translate(6 2.70614)\"><path class=\"edge e76\" d=\"M 0 0 V -2.70614 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e455\" d=\"M 0 0 V -6.44364 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e737\" d=\"M 0 0 V -4.31819 H 10.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1115\" d=\"M 0 0 V -4.5161 H -18.75\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1313\" d=\"M 0 0 V -2.69296 H 23.625\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4541\" d=\"M 0 0 V -43.5174 H 37.3125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a962 c2 node n852 p5\" transform=\"translate(37.3125 13.9208)\"><g class=\"a852 c2 node n464 p3\" transform=\"translate(18 30.4107)\"><g class=\"a464 i34 leaf node n69 p3 sample\" transform=\"translate(9 19.8629)\"><path class=\"edge e1258\" d=\"M 0 0 V -19.8629 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a464 c2 node n243 p3\" transform=\"translate(-9 10.9918)\"><g class=\"a243 i33 leaf node n66 p3 sample\" transform=\"translate(-6 8.87105)\"><path class=\"edge e430\" d=\"M 0 0 V -8.87105 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a243 i36 leaf node n73 p3 sample\" transform=\"translate(6 8.87105)\"><path class=\"edge e432\" d=\"M 0 0 V -8.87105 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1260\" d=\"M 0 0 V -10.9918 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3528\" d=\"M 0 0 V -30.4107 H -18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a852 c2 node n692 p5\" transform=\"translate(-18 14.4476)\"><g class=\"a692 i37 leaf node n74 p3 sample\" transform=\"translate(9 35.8259)\"><path class=\"edge e2431\" d=\"M 0 0 V -35.8259 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a692 c2 node n120 p3\" transform=\"translate(-9 32.711)\"><g class=\"a120 i30 leaf node n60 p3 sample\" transform=\"translate(-6 3.11495)\"><path class=\"edge e86\" d=\"M 0 0 V -3.11495 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a120 i32 leaf node n64 p3 sample\" transform=\"translate(6 3.11495)\"><path class=\"edge e87\" d=\"M 0 0 V -3.11495 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2435\" d=\"M 0 0 V -32.711 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3536\" d=\"M 0 0 V -14.4476 H 18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4547\" d=\"M 0 0 V -13.9208 H -37.3125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e4785\" d=\"M 0 0 V -5.11056 H 41.1562\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6201\" d=\"M 0 0 V -105.295 H -133.639\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a1175 c2 node n1174 p6\" transform=\"translate(-133.639 1.41758)\"><g class=\"a1174 c2 node n701 p5\" transform=\"translate(114.934 136.889)\"><g class=\"a701 c2 node n150 p2\" transform=\"translate(-13.5 31.5789)\"><g class=\"a150 i27 leaf node n55 p2 sample\" transform=\"translate(9 4.71483)\"><path class=\"edge e159\" d=\"M 0 0 V -4.71483 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a150 c2 node n137 p2\" transform=\"translate(-9 0.729293)\"><g class=\"a137 i20 leaf node n41 p2 sample\" transform=\"translate(-6 3.98554)\"><path class=\"edge e122\" d=\"M 0 0 V -3.98554 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a137 i26 leaf node n52 p2 sample\" transform=\"translate(6 3.98554)\"><path class=\"edge e125\" d=\"M 0 0 V -3.98554 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e160\" d=\"M 0 0 V -0.729293 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2527\" d=\"M 0 0 V -31.5789 H 13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a701 c2 node n400 p3\" transform=\"translate(13.5 19.94)\"><g class=\"a400 i35 leaf node n70 p3 sample\" transform=\"translate(-6 16.3538)\"><path class=\"edge e983\" d=\"M 0 0 V -16.3538 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a400 i39 leaf node n79 p3 sample\" transform=\"translate(6 16.3538)\"><path class=\"edge e984\" d=\"M 0 0 V -16.3538 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2530\" d=\"M 0 0 V -19.94 H -13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e6196\" d=\"M 0 0 V -136.889 H -114.934\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a1174 c2 node n1138 p6\" transform=\"translate(-114.934 33.3536)\"><g class=\"a1138 c2 node n924 p6\" transform=\"translate(169.869 80.982)\"><g class=\"a924 i7 leaf node n15 p0 sample\" transform=\"translate(19.5 58.8468)\"><path class=\"edge e4114\" d=\"M 0 0 V -58.8468 H -19.5\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a924 c2 node n754 p4\" transform=\"translate(-19.5 19.1471)\"><g class=\"a754 c2 node n151 p0\" transform=\"translate(-18 34.9816)\"><g class=\"a151 i8 leaf node n16 p0 sample\" transform=\"translate(9 4.71809)\"><path class=\"edge e161\" d=\"M 0 0 V -4.71809 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a151 c2 node n88 p0\" transform=\"translate(-9 3.36389)\"><g class=\"a88 i4 leaf node n9 p0 sample\" transform=\"translate(-6 1.3542)\"><path class=\"edge e16\" d=\"M 0 0 V -1.3542 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a88 i5 leaf node n10 p0 sample\" transform=\"translate(6 1.3542)\"><path class=\"edge e17\" d=\"M 0 0 V -1.3542 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e162\" d=\"M 0 0 V -3.36389 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2825\" d=\"M 0 0 V -34.9816 H 18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a754 c2 node n493 p1\" transform=\"translate(18 17.7651)\"><g class=\"a493 i16 leaf node n33 p1 sample\" transform=\"translate(9 21.9346)\"><path class=\"edge e1446\" d=\"M 0 0 V -21.9346 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a493 c2 node n357 p1\" transform=\"translate(-9 7.2473)\"><g class=\"a357 i10 leaf node n21 p1 sample\" transform=\"translate(-6 14.6873)\"><path class=\"edge e822\" d=\"M 0 0 V -14.6873 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a357 i14 leaf node n28 p1 sample\" transform=\"translate(6 14.6873)\"><path class=\"edge e823\" d=\"M 0 0 V -14.6873 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1448\" d=\"M 0 0 V -7.2473 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2828\" d=\"M 0 0 V -17.7651 H -18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e4116\" d=\"M 0 0 V -19.1471 H 19.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e5903\" d=\"M 0 0 V -80.982 H -169.869\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a1138 c2 node n1124 p6\" transform=\"translate(-169.869 10.9789)\"><g class=\"a1124 c2 node n988 p6\" transform=\"translate(-125.544 60.0252)\"><g class=\"a988 c2 node n892 p5\" transform=\"translate(72.6562 12.5)\"><g class=\"a892 i31 leaf node n62 p3 sample\" transform=\"translate(16.125 56.3247)\"><path class=\"edge e3866\" d=\"M 0 0 V -56.3247 H -16.125\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a892 c2 node n664 p5\" transform=\"translate(-16.125 22.7683)\"><g class=\"a664 c2 node n228 p3\" transform=\"translate(14.25 25.5739)\"><g class=\"a228 i35 leaf node n71 p3 sample\" transform=\"translate(-6 7.98246)\"><path class=\"edge e381\" d=\"M 0 0 V -7.98246 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a228 i38 leaf node n76 p3 sample\" transform=\"translate(6 7.98246)\"><path class=\"edge e382\" d=\"M 0 0 V -7.98246 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2265\" d=\"M 0 0 V -25.5739 H -14.25\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a664 c2 node n327 p2\" transform=\"translate(-14.25 20.6725)\"><g class=\"a327 i21 leaf node n43 p2 sample\" transform=\"translate(10.5 12.8838)\"><path class=\"edge e704\" d=\"M 0 0 V -12.8838 H -10.5\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a327 c2 node n262 p2\" transform=\"translate(-10.5 3.31579)\"><g class=\"a262 i22 leaf node n44 p2 sample\" transform=\"translate(9 9.568)\"><path class=\"edge e499\" d=\"M 0 0 V -9.568 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a262 c2 node n108 p2\" transform=\"translate(-9 7.37293)\"><g class=\"a108 i21 leaf node n42 p2 sample\" transform=\"translate(-6 2.19507)\"><path class=\"edge e60\" d=\"M 0 0 V -2.19507 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a108 i27 leaf node n54 p2 sample\" transform=\"translate(6 2.19507)\"><path class=\"edge e61\" d=\"M 0 0 V -2.19507 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e500\" d=\"M 0 0 V -7.37293 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e707\" d=\"M 0 0 V -3.31579 H 10.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2270\" d=\"M 0 0 V -20.6725 H 14.25\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3869\" d=\"M 0 0 V -22.7683 H 16.125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4744\" d=\"M 0 0 V -12.5 H -72.6562\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a988 c2 node n983 p6\" transform=\"translate(-72.6562 0.707342)\"><g class=\"a983 c2 node n811 p4\" transform=\"translate(-52.6875 23.082)\"><g class=\"a811 c2 node n338 p1\" transform=\"translate(40.125 31.2268)\"><g class=\"a338 i12 leaf node n25 p1 sample\" transform=\"translate(-6 13.8085)\"><path class=\"edge e744\" d=\"M 0 0 V -13.8085 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a338 i18 leaf node n37 p1 sample\" transform=\"translate(6 13.8085)\"><path class=\"edge e745\" d=\"M 0 0 V -13.8085 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e3235\" d=\"M 0 0 V -31.2268 H -40.125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a811 c2 node n739 p4\" transform=\"translate(-40.125 6.34054)\"><g class=\"a739 c2 node n492 p0\" transform=\"translate(-29.25 16.8115)\"><g class=\"a492 c2 node n203 p0\" transform=\"translate(-13.5 15.0042)\"><g class=\"a203 i0 leaf node n1 p0 sample\" transform=\"translate(9 6.87904)\"><path class=\"edge e302\" d=\"M 0 0 V -6.87904 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a203 c2 node n181 p0\" transform=\"translate(-9 0.842773)\"><g class=\"a181 i0 leaf node n0 p0 sample\" transform=\"translate(-6 6.03627)\"><path class=\"edge e236\" d=\"M 0 0 V -6.03627 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a181 i9 leaf node n18 p0 sample\" transform=\"translate(6 6.03627)\"><path class=\"edge e237\" d=\"M 0 0 V -6.03627 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e303\" d=\"M 0 0 V -0.842773 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1443\" d=\"M 0 0 V -15.0042 H 13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a492 c2 node n462 p0\" transform=\"translate(13.5 2.07452)\"><g class=\"a462 i4 leaf node n8 p0 sample\" transform=\"translate(-6 19.8088)\"><path class=\"edge e1253\" d=\"M 0 0 V -19.8088 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a462 i7 leaf node n14 p0 sample\" transform=\"translate(6 19.8088)\"><path class=\"edge e1254\" d=\"M 0 0 V -19.8088 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1445\" d=\"M 0 0 V -2.07452 H -13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2722\" d=\"M 0 0 V -16.8115 H 29.25\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a739 c2 node n738 p4\" transform=\"translate(29.25 0.18357)\"><g class=\"a738 c2 node n244 p0\" transform=\"translate(-18 29.5504)\"><g class=\"a244 i1 leaf node n2 p0 sample\" transform=\"translate(-9 8.96076)\"><path class=\"edge e434\" d=\"M 0 0 V -8.96076 H 9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a244 c2 node n234 p0\" transform=\"translate(9 0.489817)\"><g class=\"a234 i2 leaf node n5 p0 sample\" transform=\"translate(-6 8.47095)\"><path class=\"edge e394\" d=\"M 0 0 V -8.47095 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a234 i9 leaf node n19 p0 sample\" transform=\"translate(6 8.47095)\"><path class=\"edge e396\" d=\"M 0 0 V -8.47095 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e435\" d=\"M 0 0 V -0.489817 H -9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2718\" d=\"M 0 0 V -29.5504 H 18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a738 c2 node n737 p4\" transform=\"translate(18 0.0169541)\"><g class=\"a737 i6 leaf node n13 p0 sample\" transform=\"translate(-9 38.4942)\"><path class=\"edge e2713\" d=\"M 0 0 V -38.4942 H 9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a737 c2 node n543 p1\" transform=\"translate(9 12.7799)\"><g class=\"a543 i13 leaf node n26 p1 sample\" transform=\"translate(-6 25.7144)\"><path class=\"edge e1673\" d=\"M 0 0 V -25.7144 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a543 i14 leaf node n29 p1 sample\" transform=\"translate(6 25.7144)\"><path class=\"edge e1674\" d=\"M 0 0 V -25.7144 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2716\" d=\"M 0 0 V -12.7799 H -9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2719\" d=\"M 0 0 V -0.0169541 H -18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2726\" d=\"M 0 0 V -0.18357 H -29.25\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e3236\" d=\"M 0 0 V -6.34054 H 40.125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4708\" d=\"M 0 0 V -23.082 H 52.6875\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a983 c2 node n863 p4\" transform=\"translate(52.6875 16.5114)\"><g class=\"a863 c2 node n372 p0\" transform=\"translate(18.75 36.3208)\"><g class=\"a372 i2 leaf node n4 p0 sample\" transform=\"translate(-6 15.2852)\"><path class=\"edge e879\" d=\"M 0 0 V -15.2852 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a372 i6 leaf node n12 p0 sample\" transform=\"translate(6 15.2852)\"><path class=\"edge e880\" d=\"M 0 0 V -15.2852 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e3643\" d=\"M 0 0 V -36.3208 H -18.75\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a863 c2 node n395 p0\" transform=\"translate(-18.75 35.6941)\"><g class=\"a395 c2 node n160 p0\" transform=\"translate(13.5 10.812)\"><g class=\"a160 i5 leaf node n11 p0 sample\" transform=\"translate(-6 5.09986)\"><path class=\"edge e183\" d=\"M 0 0 V -5.09986 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a160 i8 leaf node n17 p0 sample\" transform=\"translate(6 5.09986)\"><path class=\"edge e184\" d=\"M 0 0 V -5.09986 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e969\" d=\"M 0 0 V -10.812 H -13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a395 c2 node n302 p0\" transform=\"translate(-13.5 4.19946)\"><g class=\"a302 i3 leaf node n6 p0 sample\" transform=\"translate(9 11.7124)\"><path class=\"edge e635\" d=\"M 0 0 V -11.7124 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a302 c2 node n83 p0\" transform=\"translate(-9 11.1505)\"><g class=\"a83 i1 leaf node n3 p0 sample\" transform=\"translate(-6 0.561848)\"><path class=\"edge e6\" d=\"M 0 0 V -0.561848 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a83 i3 leaf node n7 p0 sample\" transform=\"translate(6 0.561848)\"><path class=\"edge e7\" d=\"M 0 0 V -0.561848 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e636\" d=\"M 0 0 V -11.1505 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e971\" d=\"M 0 0 V -4.19946 H 13.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3644\" d=\"M 0 0 V -35.6941 H 18.75\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4709\" d=\"M 0 0 V -16.5114 H -52.6875\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e4749\" d=\"M 0 0 V -0.707342 H 72.6562\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e5825\" d=\"M 0 0 V -60.0252 H 125.544\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1124 c2 node n1104 p6\" transform=\"translate(125.544 11.7185)\"><g class=\"a1104 c2 node n731 p4\" transform=\"translate(-114.306 78.8857)\"><g class=\"a731 c2 node n159 p1\" transform=\"translate(18 33.1499)\"><g class=\"a159 i17 leaf node n34 p1 sample\" transform=\"translate(-6 5.09579)\"><path class=\"edge e179\" d=\"M 0 0 V -5.09579 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a159 i19 leaf node n39 p1 sample\" transform=\"translate(6 5.09579)\"><path class=\"edge e180\" d=\"M 0 0 V -5.09579 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2678\" d=\"M 0 0 V -33.1499 H -18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a731 c2 node n196 p1\" transform=\"translate(-18 31.6251)\"><g class=\"a196 c2 node n82 p1\" transform=\"translate(-12 6.11184)\"><g class=\"a82 i13 leaf node n27 p1 sample\" transform=\"translate(-6 0.508795)\"><path class=\"edge e4\" d=\"M 0 0 V -0.508795 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a82 i15 leaf node n30 p1 sample\" transform=\"translate(6 0.508795)\"><path class=\"edge e5\" d=\"M 0 0 V -0.508795 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e284\" d=\"M 0 0 V -6.11184 H 12\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a196 c2 node n118 p1\" transform=\"translate(12 3.66993)\"><g class=\"a118 i15 leaf node n31 p1 sample\" transform=\"translate(-6 2.9507)\"><path class=\"edge e81\" d=\"M 0 0 V -2.9507 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a118 i17 leaf node n35 p1 sample\" transform=\"translate(6 2.9507)\"><path class=\"edge e82\" d=\"M 0 0 V -2.9507 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e285\" d=\"M 0 0 V -3.66993 H -12\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2679\" d=\"M 0 0 V -31.6251 H 18\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e5710\" d=\"M 0 0 V -78.8857 H 114.306\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1104 c2 node n862 p5\" transform=\"translate(114.306 65.5641)\"><g class=\"a862 c2 node n455 p3\" transform=\"translate(29.3877 32.0906)\"><g class=\"a455 i34 leaf node n68 p3 sample\" transform=\"translate(-6 19.4767)\"><path class=\"edge e1227\" d=\"M 0 0 V -19.4767 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a455 i36 leaf node n72 p3 sample\" transform=\"translate(6 19.4767)\"><path class=\"edge e1228\" d=\"M 0 0 V -19.4767 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e3622\" d=\"M 0 0 V -32.0906 H -29.3877\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a862 c2 node n861 p5\" transform=\"translate(-29.3877 0.173277)\"><g class=\"a861 c2 node n532 p3\" transform=\"translate(25.7754 26.5033)\"><g class=\"a532 i32 leaf node n65 p3 sample\" transform=\"translate(-9 24.8908)\"><path class=\"edge e1631\" d=\"M 0 0 V -24.8908 H 9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a532 c2 node n443 p3\" transform=\"translate(9 6.25457)\"><g class=\"a443 i33 leaf node n67 p3 sample\" transform=\"translate(-6 18.6362)\"><path class=\"edge e1173\" d=\"M 0 0 V -18.6362 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a443 i38 leaf node n77 p3 sample\" transform=\"translate(6 18.6362)\"><path class=\"edge e1174\" d=\"M 0 0 V -18.6362 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1632\" d=\"M 0 0 V -6.25457 H -9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e3610\" d=\"M 0 0 V -26.5033 H -25.7754\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a861 c2 node n729 p5\" transform=\"translate(-25.7754 13.2037)\"><g class=\"a729 c2 node n583 p3\" transform=\"translate(24.5508 8.75691)\"><g class=\"a583 i31 leaf node n63 p3 sample\" transform=\"translate(-6 29.4335)\"><path class=\"edge e1856\" d=\"M 0 0 V -29.4335 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a583 i37 leaf node n75 p3 sample\" transform=\"translate(6 29.4335)\"><path class=\"edge e1857\" d=\"M 0 0 V -29.4335 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2670\" d=\"M 0 0 V -8.75691 H -24.5508\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a729 c2 node n604 p5\" transform=\"translate(-24.5508 7.41211)\"><g class=\"a604 c2 node n145 p2\" transform=\"translate(25.1016 26.1423)\"><g class=\"a145 i23 leaf node n46 p2 sample\" transform=\"translate(-6 4.63604)\"><path class=\"edge e142\" d=\"M 0 0 V -4.63604 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a145 i29 leaf node n59 p2 sample\" transform=\"translate(6 4.63604)\"><path class=\"edge e143\" d=\"M 0 0 V -4.63604 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1959\" d=\"M 0 0 V -26.1423 H -25.1016\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a604 c2 node n595 p2\" transform=\"translate(-25.1016 0.63371)\"><g class=\"a595 i25 leaf node n51 p2 sample\" transform=\"translate(32.2031 30.1446)\"><path class=\"edge e1924\" d=\"M 0 0 V -30.1446 H -32.2031\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a595 c2 node n593 p2\" transform=\"translate(-32.2031 0.261996)\"><g class=\"a593 c2 node n155 p2\" transform=\"translate(-40.5938 24.8978)\"><g class=\"a155 i22 leaf node n45 p2 sample\" transform=\"translate(9 4.98483)\"><path class=\"edge e170\" d=\"M 0 0 V -4.98483 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a155 c2 node n87 p2\" transform=\"translate(-9 3.70362)\"><g class=\"a87 i20 leaf node n40 p2 sample\" transform=\"translate(-6 1.28121)\"><path class=\"edge e14\" d=\"M 0 0 V -1.28121 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a87 i28 leaf node n57 p2 sample\" transform=\"translate(6 1.28121)\"><path class=\"edge e15\" d=\"M 0 0 V -1.28121 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e171\" d=\"M 0 0 V -3.70362 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1910\" d=\"M 0 0 V -24.8978 H 40.5938\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a593 c2 node n447 p2\" transform=\"translate(40.5938 10.8409)\"><g class=\"a447 i24 leaf node n49 p2 sample\" transform=\"translate(11.8125 19.0417)\"><path class=\"edge e1190\" d=\"M 0 0 V -19.0417 H -11.8125\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a447 c2 node n427 p2\" transform=\"translate(-11.8125 1.19478)\"><g class=\"a427 i28 leaf node n56 p2 sample\" transform=\"translate(11.625 17.847)\"><path class=\"edge e1098\" d=\"M 0 0 V -17.847 H -11.625\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a427 c2 node n420 p2\" transform=\"translate(-11.625 0.251248)\"><g class=\"a420 i24 leaf node n48 p2 sample\" transform=\"translate(11.25 17.5957)\"><path class=\"edge e1067\" d=\"M 0 0 V -17.5957 H -11.25\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a420 c2 node n200 p2\" transform=\"translate(-11.25 10.8004)\"><g class=\"a200 i26 leaf node n53 p2 sample\" transform=\"translate(10.5 6.79531)\"><path class=\"edge e293\" d=\"M 0 0 V -6.79531 H -10.5\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a200 c2 node n176 p2\" transform=\"translate(-10.5 1.02683)\"><g class=\"a176 i29 leaf node n58 p2 sample\" transform=\"translate(9 5.76848)\"><path class=\"edge e225\" d=\"M 0 0 V -5.76848 H -9\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a176 c2 node n81 p2\" transform=\"translate(-9 5.37017)\"><g class=\"a81 i23 leaf node n47 p2 sample\" transform=\"translate(-6 0.398305)\"><path class=\"edge e2\" d=\"M 0 0 V -0.398305 H 6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a81 i25 leaf node n50 p2 sample\" transform=\"translate(6 0.398305)\"><path class=\"edge e3\" d=\"M 0 0 V -0.398305 H -6\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e226\" d=\"M 0 0 V -5.37017 H 9\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e295\" d=\"M 0 0 V -1.02683 H 10.5\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1068\" d=\"M 0 0 V -10.8004 H 11.25\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1101\" d=\"M 0 0 V -0.251248 H 11.625\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1198\" d=\"M 0 0 V -1.19478 H 11.8125\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1911\" d=\"M 0 0 V -10.8409 H -40.5938\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1931\" d=\"M 0 0 V -0.261996 H 32.2031\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1963\" d=\"M 0 0 V -0.63371 H 25.1016\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2671\" d=\"M 0 0 V -7.41211 H 24.5508\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3611\" d=\"M 0 0 V -13.2037 H 25.7754\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3639\" d=\"M 0 0 V -0.173277 H 29.3877\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e5711\" d=\"M 0 0 V -65.5641 H -114.306\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5826\" d=\"M 0 0 V -11.7185 H -125.544\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5914\" d=\"M 0 0 V -10.9789 H 169.869\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6198\" d=\"M 0 0 V -33.3536 H 114.934\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6204\" d=\"M 0 0 V -1.41758 H 133.639\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab\" transform=\"translate(0 -11)\"/></g></g></g><g class=\"title\" transform=\"translate(500 0)\"><text dominant-baseline=\"hanging\" text-anchor=\"middle\">Tree at genome position 0</text></g></svg>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.SVG object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from IPython.display import SVG  # only for starting up Jupyterlite: normally just bare tree.draw_svg() works\n",
     "\n",
     "first_tree = ts.first()\n",
-    "display(SVG(first_tree.draw_svg(size=(1000, 250), title=\"Tree at genome position 0\", node_labels={})))"
+    "first_tree.draw_svg(size=(1000, 250), title=\"Tree at genome position 0\", node_labels={})"
    ]
   },
   {
@@ -996,34 +400,22 @@
    "id": "ccd74ad8-76dc-4836-b3e0-dd3669cc78ba",
    "metadata": {},
    "source": [
-    "_Tskit_ tree plots can be decorated using a variety of styles (see the [viz tutorial](https://tskit.dev/tutorials/viz.html)). Here we plot the tree at position 0.3 Mb, to see population A really does have a cluster of coalescences around 170 generations ago (at the dotted magenta line: it does!)."
+    "_Tskit_ tree plots can be decorated using a variety of styles (see the [viz tutorial](https://tskit.dev/tutorials/viz.html)). Here we plot the tree at position 0.3 Mb, to see if population A really does have a cluster of coalescences around 170 generations ago (at the dotted magenta line: it does!)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "b81ab065-37bd-41f7-9ed5-2b9c34d4e54a",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
-       "<svg baseProfile=\"full\" height=\"250\" version=\"1.1\" width=\"1000\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:ev=\"http://www.w3.org/2001/xml-events\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><rect width=\"100\" height=\"100\" x=\"100\" y=\"10\" fill=\"#EEE\" /><text x=\"140\" y=\"25\">Key</text><g transform=\"translate(103, 40)\" class=\"leaf p0\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population A</text></g><g transform=\"translate(103, 58)\" class=\"leaf p1\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population B</text></g><g transform=\"translate(103, 76)\" class=\"leaf p2\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population C</text></g><g transform=\"translate(103, 94)\" class=\"leaf p3\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population D</text></g><defs><style type=\"text/css\"><![CDATA[.background path {fill: #808080; fill-opacity: 0}.background path:nth-child(odd) {fill-opacity: .1}.x-regions rect {fill: yellow; stroke: black; opacity: 0.5}.axes {font-size: 14px}.x-axis .tick .lab {font-weight: bold; dominant-baseline: hanging}.axes, .tree {font-size: 14px; text-anchor: middle}.axes line, .edge {stroke: black; fill: none}.axes .ax-skip {stroke-dasharray: 4}.y-axis .grid {stroke: #FAFAFA}.node > .sym {fill: black; stroke: none}.site > .sym {stroke: black}.mut text {fill: red; font-style: italic}.mut.extra text {fill: hotpink}.mut line {fill: none; stroke: none}.mut .sym {fill: none; stroke: red}.mut.extra .sym {stroke: hotpink}.node .mut .sym {stroke-width: 1.5px}.tree text, .tree-sequence text {dominant-baseline: central}.plotbox .lab.lft {text-anchor: end}.plotbox .lab.rgt {text-anchor: start}.polytomy line {stroke: black; stroke-dasharray: 1px, 1px}.polytomy text {paint-order:stroke;stroke-width:0.3em;stroke:white}.leaf.p0>.sym{fill:#1f77b4}.leaf.p1>.sym{fill:#ff7f0e}.leaf.p2>.sym{fill:#2ca02c}.leaf.p3>.sym{fill:#d62728}.leaf.p4>.sym{fill:#9467bd}.leaf.p5>.sym{fill:#8c564b}.leaf.p6>.sym{fill:#e377c2}.y-axis .tick:nth-child(2) .grid {stroke: magenta; stroke-dasharray: 4}]]></style></defs><g class=\"tree t503\"><g class=\"axes\"><g class=\"y-axis\"><g class=\"title\" transform=\"translate(0 122.5)\"><text class=\"lab\" text-anchor=\"middle\" transform=\"translate(11) rotate(-90)\">Time ago (generations)</text></g><line class=\"ax-line\" x1=\"56.8\" x2=\"56.8\" y1=\"218.2\" y2=\"26.8\"/><g class=\"ticks\"><g class=\"tick\" transform=\"translate(56.8 218.2)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">0</text></g></g><g class=\"tick\" transform=\"translate(56.8 201.652)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">170</text></g></g><g class=\"tick\" transform=\"translate(56.8 169.529)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">500</text></g></g><g class=\"tick\" transform=\"translate(56.8 120.858)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">1000</text></g></g><g class=\"tick\" transform=\"translate(56.8 72.1871)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">1500</text></g></g></g></g></g><g class=\"plotbox\"><g class=\"c2 node n1223 p6 root\" transform=\"translate(677.551 43.6)\"><g class=\"a1223 c2 node n1044 p6\" transform=\"translate(-128.695 117.808)\"><g class=\"a1044 c2 node n1008 p6\" transform=\"translate(69.0766 6.9279)\"><g class=\"a1008 i17 leaf node n35 p1 sample\" transform=\"translate(-12.9825 49.8646)\"><path class=\"edge e4930\" d=\"M 0 0 V -49.8646 H 12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a1008 c2 node n608 p5\" transform=\"translate(12.9825 28.9317)\"><g class=\"a608 i36 leaf node n73 p3 sample\" transform=\"translate(8.655 20.9329)\"><path class=\"edge e2006\" d=\"M 0 0 V -20.9329 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a608 c2 node n453 p3\" transform=\"translate(-8.655 7.79725)\"><g class=\"a453 i32 leaf node n64 p3 sample\" transform=\"translate(-5.77 13.1356)\"><path class=\"edge e1217\" d=\"M 0 0 V -13.1356 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a453 i36 leaf node n72 p3 sample\" transform=\"translate(5.77 13.1356)\"><path class=\"edge e1218\" d=\"M 0 0 V -13.1356 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2007\" d=\"M 0 0 V -7.79725 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4936\" d=\"M 0 0 V -28.9317 H -12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5244\" d=\"M 0 0 V -6.9279 H -69.0766\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a1044 c2 node n1039 p6\" transform=\"translate(-69.0766 1.21226)\"><g class=\"a1039 c2 node n950 p6\" transform=\"translate(-107.861 13.4023)\"><g class=\"a950 c2 node n841 p4\" transform=\"translate(-136.046 9.49652)\"><g class=\"a841 c2 node n521 p0\" transform=\"translate(-57.4971 16.2939)\"><g class=\"a521 c2 node n498 p0\" transform=\"translate(-79.7432 1.31898)\"><g class=\"a498 c2 node n377 p0\" transform=\"translate(18.7525 4.5848)\"><g class=\"a377 i0 leaf node n1 p0 sample\" transform=\"translate(-8.655 10.4837)\"><path class=\"edge e903\" d=\"M 0 0 V -10.4837 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a377 c2 node n83 p0\" transform=\"translate(8.655 10.1041)\"><g class=\"a83 i1 leaf node n3 p0 sample\" transform=\"translate(-5.77 0.379633)\"><path class=\"edge e6\" d=\"M 0 0 V -0.379633 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a83 i3 leaf node n7 p0 sample\" transform=\"translate(5.77 0.379633)\"><path class=\"edge e7\" d=\"M 0 0 V -0.379633 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e905\" d=\"M 0 0 V -10.1041 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1484\" d=\"M 0 0 V -4.5848 H -18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a498 c2 node n479 p0\" transform=\"translate(-18.7525 0.7544)\"><g class=\"a479 c2 node n378 p0\" transform=\"translate(-11.54 3.82554)\"><g class=\"a378 i0 leaf node n0 p0 sample\" transform=\"translate(-5.77 10.4886)\"><path class=\"edge e907\" d=\"M 0 0 V -10.4886 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a378 i7 leaf node n15 p0 sample\" transform=\"translate(5.77 10.4886)\"><path class=\"edge e908\" d=\"M 0 0 V -10.4886 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1363\" d=\"M 0 0 V -3.82554 H 11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a479 c2 node n339 p0\" transform=\"translate(11.54 4.9255)\"><g class=\"a339 i6 leaf node n12 p0 sample\" transform=\"translate(-5.77 9.38863)\"><path class=\"edge e746\" d=\"M 0 0 V -9.38863 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a339 i7 leaf node n14 p0 sample\" transform=\"translate(5.77 9.38863)\"><path class=\"edge e747\" d=\"M 0 0 V -9.38863 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1361\" d=\"M 0 0 V -4.9255 H -11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1490\" d=\"M 0 0 V -0.7544 H 18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1590\" d=\"M 0 0 V -1.31898 H 79.7432\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a521 c2 node n484 p0\" transform=\"translate(79.7432 1.88357)\"><g class=\"a484 i9 leaf node n18 p0 sample\" transform=\"translate(23.7111 14.5039)\"><path class=\"edge e1389\" d=\"M 0 0 V -14.5039 H -23.7111\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a484 c2 node n439 p0\" transform=\"translate(-23.7111 1.98091)\"><g class=\"a439 c2 node n423 p0\" transform=\"translate(-21.4572 0.579184)\"><g class=\"a423 c2 node n160 p0\" transform=\"translate(16.9494 8.49795)\"><g class=\"a160 i5 leaf node n11 p0 sample\" transform=\"translate(-5.77 3.4459)\"><path class=\"edge e183\" d=\"M 0 0 V -3.4459 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a160 i8 leaf node n17 p0 sample\" transform=\"translate(5.77 3.4459)\"><path class=\"edge e184\" d=\"M 0 0 V -3.4459 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1080\" d=\"M 0 0 V -8.49795 H -16.9494\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a423 c2 node n347 p0\" transform=\"translate(-16.9494 2.3216)\"><g class=\"a347 i8 leaf node n16 p0 sample\" transform=\"translate(16.5888 9.62225)\"><path class=\"edge e777\" d=\"M 0 0 V -9.62225 H -16.5888\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a347 c2 node n281 p0\" transform=\"translate(-16.5887 2.46762)\"><g class=\"a281 i2 leaf node n4 p0 sample\" transform=\"translate(21.6375 7.15463)\"><path class=\"edge e560\" d=\"M 0 0 V -7.15463 H -21.6375\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a281 c2 node n244 p0\" transform=\"translate(-21.6375 1.09996)\"><g class=\"a244 i1 leaf node n2 p0 sample\" transform=\"translate(-14.425 6.05467)\"><path class=\"edge e434\" d=\"M 0 0 V -6.05467 H 14.425\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a244 c2 node n234 p0\" transform=\"translate(14.425 0.330962)\"><g class=\"a234 c2 node n213 p0\" transform=\"translate(-11.54 0.744666)\"><g class=\"a213 i2 leaf node n5 p0 sample\" transform=\"translate(-5.77 4.97904)\"><path class=\"edge e325\" d=\"M 0 0 V -4.97904 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a213 i6 leaf node n13 p0 sample\" transform=\"translate(5.77 4.97904)\"><path class=\"edge e330\" d=\"M 0 0 V -4.97904 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e402\" d=\"M 0 0 V -0.744666 H 11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a234 c2 node n94 p0\" transform=\"translate(11.54 4.59941)\"><g class=\"a94 i4 leaf node n8 p0 sample\" transform=\"translate(-5.77 1.1243)\"><path class=\"edge e28\" d=\"M 0 0 V -1.1243 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a94 i9 leaf node n19 p0 sample\" transform=\"translate(5.77 1.1243)\"><path class=\"edge e29\" d=\"M 0 0 V -1.1243 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e397\" d=\"M 0 0 V -4.59941 H -11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e435\" d=\"M 0 0 V -0.330962 H -14.425\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e566\" d=\"M 0 0 V -1.09996 H 21.6375\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e782\" d=\"M 0 0 V -2.46762 H 16.5887\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1084\" d=\"M 0 0 V -2.3216 H 16.9494\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1158\" d=\"M 0 0 V -0.579184 H 21.4572\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a439 c2 node n371 p0\" transform=\"translate(21.4572 2.19993)\"><g class=\"a371 i3 leaf node n6 p0 sample\" transform=\"translate(-8.655 10.3231)\"><path class=\"edge e877\" d=\"M 0 0 V -10.3231 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a371 c2 node n88 p0\" transform=\"translate(8.655 9.4081)\"><g class=\"a88 i4 leaf node n9 p0 sample\" transform=\"translate(-5.77 0.915014)\"><path class=\"edge e16\" d=\"M 0 0 V -0.915014 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a88 i5 leaf node n10 p0 sample\" transform=\"translate(5.77 0.915014)\"><path class=\"edge e17\" d=\"M 0 0 V -0.915014 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e878\" d=\"M 0 0 V -9.4081 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1155\" d=\"M 0 0 V -2.19993 H -21.4572\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1392\" d=\"M 0 0 V -1.98091 H 23.7111\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1586\" d=\"M 0 0 V -1.88357 H -79.7432\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e3444\" d=\"M 0 0 V -16.2939 H 57.4971\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a841 i16 leaf node n33 p1 sample\" transform=\"translate(57.4971 32.6814)\"><path class=\"edge e3441\" d=\"M 0 0 V -32.6814 H -57.4971\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e4406\" d=\"M 0 0 V -9.49652 H 136.046\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a950 c2 node n926 p6\" transform=\"translate(136.046 2.2762)\"><g class=\"a926 c2 node n860 p5\" transform=\"translate(52.2681 5.19033)\"><g class=\"a860 i34 leaf node n69 p3 sample\" transform=\"translate(10.0975 34.7114)\"><path class=\"edge e3586\" d=\"M 0 0 V -34.7114 H -10.0975\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a860 c2 node n787 p5\" transform=\"translate(-10.0975 5.64008)\"><g class=\"a787 i35 leaf node n71 p3 sample\" transform=\"translate(8.655 29.0713)\"><path class=\"edge e3036\" d=\"M 0 0 V -29.0713 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a787 c2 node n282 p3\" transform=\"translate(-8.655 21.9073)\"><g class=\"a282 i30 leaf node n60 p3 sample\" transform=\"translate(-5.77 7.16398)\"><path class=\"edge e567\" d=\"M 0 0 V -7.16398 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a282 i39 leaf node n78 p3 sample\" transform=\"translate(5.77 7.16398)\"><path class=\"edge e568\" d=\"M 0 0 V -7.16398 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e3041\" d=\"M 0 0 V -21.9073 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3602\" d=\"M 0 0 V -5.64008 H 10.0975\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4143\" d=\"M 0 0 V -5.19033 H -52.2681\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a926 c2 node n884 p5\" transform=\"translate(-52.2681 2.89001)\"><g class=\"a884 c2 node n817 p5\" transform=\"translate(54.5896 5.92309)\"><g class=\"a817 i32 leaf node n65 p3 sample\" transform=\"translate(13.8841 31.0886)\"><path class=\"edge e3277\" d=\"M 0 0 V -31.0886 H -13.8841\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a817 c2 node n663 p5\" transform=\"translate(-13.8841 8.47754)\"><g class=\"a663 i31 leaf node n62 p3 sample\" transform=\"translate(16.2281 22.6111)\"><path class=\"edge e2245\" d=\"M 0 0 V -22.6111 H -16.2281\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a663 c2 node n560 p2\" transform=\"translate(-16.2281 4.29115)\"><g class=\"a560 c2 node n227 p2\" transform=\"translate(15.1463 12.9485)\"><g class=\"a227 i25 leaf node n51 p2 sample\" transform=\"translate(-5.77 5.37142)\"><path class=\"edge e378\" d=\"M 0 0 V -5.37142 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a227 i26 leaf node n53 p2 sample\" transform=\"translate(5.77 5.37142)\"><path class=\"edge e379\" d=\"M 0 0 V -5.37142 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1754\" d=\"M 0 0 V -12.9485 H -15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a560 c2 node n327 p2\" transform=\"translate(-15.1462 9.61452)\"><g class=\"a327 i24 leaf node n49 p2 sample\" transform=\"translate(12.9825 8.70541)\"><path class=\"edge e705\" d=\"M 0 0 V -8.70541 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a327 c2 m296 node n262 p2 s296\" transform=\"translate(-12.9825 2.24044)\"><g class=\"a262 i22 leaf node n44 p2 sample\" transform=\"translate(-8.655 6.46497)\"><path class=\"edge e499\" d=\"M 0 0 V -6.46497 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a262 c2 node n125 p2\" transform=\"translate(8.655 4.18543)\"><g class=\"a125 i24 leaf node n48 p2 sample\" transform=\"translate(-5.77 2.27954)\"><path class=\"edge e96\" d=\"M 0 0 V -2.27954 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a125 i28 leaf node n56 p2 sample\" transform=\"translate(5.77 2.27954)\"><path class=\"edge e97\" d=\"M 0 0 V -2.27954 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e501\" d=\"M 0 0 V -4.18543 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e709\" d=\"M 0 0 V -2.24044 H 12.9825\"/><g class=\"mut m296 s296\" transform=\"translate(0 -0.00511826)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"0.00511826\"/><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\"/><text class=\"lab lft\" transform=\"translate(-5 0)\"/></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1757\" d=\"M 0 0 V -9.61452 H 15.1462\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2260\" d=\"M 0 0 V -4.29115 H 16.2281\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3283\" d=\"M 0 0 V -8.47754 H 13.8841\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3818\" d=\"M 0 0 V -5.92309 H -54.5896\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a884 c2 node n796 p5\" transform=\"translate(-54.5896 7.4442)\"><g class=\"a796 c2 node n449 p2\" transform=\"translate(22.0883 16.689)\"><g class=\"a449 i29 leaf node n59 p2 sample\" transform=\"translate(8.655 12.8785)\"><path class=\"edge e1206\" d=\"M 0 0 V -12.8785 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a449 c2 node n130 p2\" transform=\"translate(-8.655 10.4349)\"><g class=\"a130 i21 leaf node n42 p2 sample\" transform=\"translate(-5.77 2.44358)\"><path class=\"edge e106\" d=\"M 0 0 V -2.44358 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a130 i22 leaf node n45 p2 sample\" transform=\"translate(5.77 2.44358)\"><path class=\"edge e107\" d=\"M 0 0 V -2.44358 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1207\" d=\"M 0 0 V -10.4349 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3107\" d=\"M 0 0 V -16.689 H -22.0883\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a796 c2 node n665 p5\" transform=\"translate(-22.0883 6.88135)\"><g class=\"a665 i38 leaf node n77 p3 sample\" transform=\"translate(18.2116 22.6862)\"><path class=\"edge e2276\" d=\"M 0 0 V -22.6862 H -18.2116\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a665 c2 node n594 p2\" transform=\"translate(-18.2116 2.37783)\"><g class=\"a594 c2 node n81 p2\" transform=\"translate(19.1131 20.0392)\"><g class=\"a81 i23 leaf node n47 p2 sample\" transform=\"translate(-5.77 0.269129)\"><path class=\"edge e2\" d=\"M 0 0 V -0.269129 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a81 i25 leaf node n50 p2 sample\" transform=\"translate(5.77 0.269129)\"><path class=\"edge e3\" d=\"M 0 0 V -0.269129 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1916\" d=\"M 0 0 V -20.0392 H -19.1131\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a594 c2 node n254 p2\" transform=\"translate(-19.1131 14.0047)\"><g class=\"a254 c2 node n150 p2\" transform=\"translate(-15.1463 3.11786)\"><g class=\"a150 i27 leaf node n55 p2 sample\" transform=\"translate(12.9825 3.18575)\"><path class=\"edge e159\" d=\"M 0 0 V -3.18575 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a150 c2 node n137 p2\" transform=\"translate(-12.9825 0.492774)\"><g class=\"a137 i20 leaf node n41 p2 sample\" transform=\"translate(-8.655 2.69297)\"><path class=\"edge e122\" d=\"M 0 0 V -2.69297 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a137 c2 node n107 p2\" transform=\"translate(8.655 1.2251)\"><g class=\"a107 i26 leaf node n52 p2 sample\" transform=\"translate(-5.77 1.46788)\"><path class=\"edge e55\" d=\"M 0 0 V -1.46788 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a107 i27 leaf node n54 p2 sample\" transform=\"translate(5.77 1.46788)\"><path class=\"edge e57\" d=\"M 0 0 V -1.46788 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e126\" d=\"M 0 0 V -1.2251 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e160\" d=\"M 0 0 V -0.492774 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e476\" d=\"M 0 0 V -3.11786 H 15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a254 c2 node n197 p2\" transform=\"translate(15.1462 1.7614)\"><g class=\"a197 i21 leaf node n43 p2 sample\" transform=\"translate(-5.77 4.5422)\"><path class=\"edge e286\" d=\"M 0 0 V -4.5422 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a197 i23 leaf node n46 p2 sample\" transform=\"translate(5.77 4.5422)\"><path class=\"edge e287\" d=\"M 0 0 V -4.5422 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e477\" d=\"M 0 0 V -1.7614 H -15.1462\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1919\" d=\"M 0 0 V -14.0047 H 19.1131\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2280\" d=\"M 0 0 V -2.37783 H 18.2116\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3108\" d=\"M 0 0 V -6.88135 H 22.0883\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3815\" d=\"M 0 0 V -7.4442 H 54.5896\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4148\" d=\"M 0 0 V -2.89001 H 52.2681\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4410\" d=\"M 0 0 V -2.2762 H -136.046\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5175\" d=\"M 0 0 V -13.4023 H 107.861\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1039 c2 node n791 p4\" transform=\"translate(107.861 26.2357)\"><g class=\"a791 i14 leaf node n28 p1 sample\" transform=\"translate(-5.77 29.3445)\"><path class=\"edge e3057\" d=\"M 0 0 V -29.3445 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a791 i15 leaf node n31 p1 sample\" transform=\"translate(5.77 29.3445)\"><path class=\"edge e3058\" d=\"M 0 0 V -29.3445 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e5169\" d=\"M 0 0 V -26.2357 H -107.861\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5251\" d=\"M 0 0 V -1.21226 H 69.0766\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6504\" d=\"M 0 0 V -117.808 H 128.695\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1223 c2 node n1161 p6\" transform=\"translate(128.695 63.0683)\"><g class=\"a1161 c2 node n686 p1\" transform=\"translate(-122.68 87.5041)\"><g class=\"a686 c2 node n329 p1\" transform=\"translate(-23.8012 15.2911)\"><g class=\"a329 c2 node n154 p1\" transform=\"translate(8.655 5.40944)\"><g class=\"a154 i18 leaf node n37 p1 sample\" transform=\"translate(-5.77 3.32712)\"><path class=\"edge e168\" d=\"M 0 0 V -3.32712 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a154 i19 leaf node n38 p1 sample\" transform=\"translate(5.77 3.32712)\"><path class=\"edge e169\" d=\"M 0 0 V -3.32712 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e715\" d=\"M 0 0 V -5.40944 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a329 i10 leaf node n20 p1 sample\" transform=\"translate(-8.655 8.73656)\"><path class=\"edge e712\" d=\"M 0 0 V -8.73656 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2396\" d=\"M 0 0 V -15.2911 H 23.8012\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a686 c2 node n485 p1\" transform=\"translate(23.8013 9.51911)\"><g class=\"a485 c2 node n148 p1\" transform=\"translate(-12.9825 11.3621)\"><g class=\"a148 i10 leaf node n21 p1 sample\" transform=\"translate(-8.655 3.1464)\"><path class=\"edge e152\" d=\"M 0 0 V -3.1464 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a148 c2 node n82 p1\" transform=\"translate(8.655 2.80261)\"><g class=\"a82 i13 leaf node n27 p1 sample\" transform=\"translate(-5.77 0.343786)\"><path class=\"edge e4\" d=\"M 0 0 V -0.343786 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a82 i15 leaf node n30 p1 sample\" transform=\"translate(5.77 0.343786)\"><path class=\"edge e5\" d=\"M 0 0 V -0.343786 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e155\" d=\"M 0 0 V -2.80261 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1400\" d=\"M 0 0 V -11.3621 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a485 i14 leaf node n29 p1 sample\" transform=\"translate(12.9825 14.5085)\"><path class=\"edge e1398\" d=\"M 0 0 V -14.5085 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2398\" d=\"M 0 0 V -9.51911 H -23.8013\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e6085\" d=\"M 0 0 V -87.5041 H 122.68\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1161 c2 node n1125 p6\" transform=\"translate(122.68 24.1999)\"><g class=\"a1125 i38 leaf node n76 p3 sample\" transform=\"translate(45.3035 87.3319)\"><path class=\"edge e5828\" d=\"M 0 0 V -87.3319 H -45.3035\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a1125 c2 node n955 p6\" transform=\"translate(-45.3035 44.6709)\"><g class=\"a955 c2 node n936 p6\" transform=\"translate(-60.3145 2.10696)\"><g class=\"a936 c2 node n692 p5\" transform=\"translate(31.1941 16.3469)\"><g class=\"a692 c2 node n597 p5\" transform=\"translate(12.9825 3.65409)\"><g class=\"a597 i33 leaf node n67 p3 sample\" transform=\"translate(-8.655 20.553)\"><path class=\"edge e1934\" d=\"M 0 0 V -20.553 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a597 c2 node n301 p3\" transform=\"translate(8.655 12.6688)\"><g class=\"a301 i37 leaf node n75 p3 sample\" transform=\"translate(-5.77 7.88421)\"><path class=\"edge e633\" d=\"M 0 0 V -7.88421 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a301 i39 leaf node n79 p3 sample\" transform=\"translate(5.77 7.88421)\"><path class=\"edge e634\" d=\"M 0 0 V -7.88421 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1937\" d=\"M 0 0 V -12.6688 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2438\" d=\"M 0 0 V -3.65409 H -12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a692 c2 node n457 p3\" transform=\"translate(-12.9825 10.9423)\"><g class=\"a457 i33 leaf node n66 p3 sample\" transform=\"translate(-5.77 13.2647)\"><path class=\"edge e1236\" d=\"M 0 0 V -13.2647 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a457 i37 leaf node n74 p3 sample\" transform=\"translate(5.77 13.2647)\"><path class=\"edge e1237\" d=\"M 0 0 V -13.2647 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2437\" d=\"M 0 0 V -10.9423 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4231\" d=\"M 0 0 V -16.3469 H -31.1941\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a936 c2 node n821 p4\" transform=\"translate(-31.1941 9.20525)\"><g class=\"a821 c2 node n406 p1\" transform=\"translate(23.4406 19.9589)\"><g class=\"a406 i16 leaf node n32 p1 sample\" transform=\"translate(8.655 11.3899)\"><path class=\"edge e1019\" d=\"M 0 0 V -11.3899 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a406 c2 node n92 p1\" transform=\"translate(-8.655 10.3909)\"><g class=\"a92 i12 leaf node n24 p1 sample\" transform=\"translate(-5.77 0.998983)\"><path class=\"edge e24\" d=\"M 0 0 V -0.998983 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a92 i12 leaf node n25 p1 sample\" transform=\"translate(5.77 0.998983)\"><path class=\"edge e25\" d=\"M 0 0 V -0.998983 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1020\" d=\"M 0 0 V -10.3909 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3314\" d=\"M 0 0 V -19.9589 H -23.4406\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a821 c2 node n572 p1\" transform=\"translate(-23.4406 11.7189)\"><g class=\"a572 c2 node n115 p1\" transform=\"translate(15.1463 17.8014)\"><g class=\"a115 i11 leaf node n23 p1 sample\" transform=\"translate(-5.77 1.8285)\"><path class=\"edge e75\" d=\"M 0 0 V -1.8285 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a115 i18 leaf node n36 p1 sample\" transform=\"translate(5.77 1.8285)\"><path class=\"edge e76\" d=\"M 0 0 V -1.8285 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1805\" d=\"M 0 0 V -17.8014 H -15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a572 c2 node n367 p1\" transform=\"translate(-15.1463 9.37612)\"><g class=\"a367 i13 leaf node n26 p1 sample\" transform=\"translate(12.9825 10.2538)\"><path class=\"edge e863\" d=\"M 0 0 V -10.2538 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a367 c2 node n291 p1\" transform=\"translate(-12.9825 2.64255)\"><g class=\"a291 c2 node n159 p1\" transform=\"translate(8.655 4.16805)\"><g class=\"a159 i17 leaf node n34 p1 sample\" transform=\"translate(-5.77 3.44315)\"><path class=\"edge e179\" d=\"M 0 0 V -3.44315 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a159 i19 leaf node n39 p1 sample\" transform=\"translate(5.77 3.44315)\"><path class=\"edge e181\" d=\"M 0 0 V -3.44315 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e600\" d=\"M 0 0 V -4.16805 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a291 i11 leaf node n22 p1 sample\" transform=\"translate(-8.655 7.61121)\"><path class=\"edge e594\" d=\"M 0 0 V -7.61121 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e867\" d=\"M 0 0 V -2.64255 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1809\" d=\"M 0 0 V -9.37612 H 15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3315\" d=\"M 0 0 V -11.7189 H 23.4406\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4237\" d=\"M 0 0 V -9.20525 H 31.1941\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4458\" d=\"M 0 0 V -2.10696 H 60.3145\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a955 c2 node n666 p5\" transform=\"translate(60.3145 19.8849)\"><g class=\"a666 i30 leaf node n61 p3 sample\" transform=\"translate(18.7525 22.7761)\"><path class=\"edge e2281\" d=\"M 0 0 V -22.7761 H -18.7525\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a666 c2 node n605 p5\" transform=\"translate(-18.7525 1.94473)\"><g class=\"a605 c2 node n599 p5\" transform=\"translate(17.31 0.219772)\"><g class=\"a599 i35 leaf node n70 p3 sample\" transform=\"translate(8.655 20.6116)\"><path class=\"edge e1941\" d=\"M 0 0 V -20.6116 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a599 c2 node n350 p3\" transform=\"translate(-8.655 10.8672)\"><g class=\"a350 i31 leaf node n63 p3 sample\" transform=\"translate(-5.77 9.74439)\"><path class=\"edge e796\" d=\"M 0 0 V -9.74439 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a350 i34 leaf node n68 p3 sample\" transform=\"translate(5.77 9.74439)\"><path class=\"edge e797\" d=\"M 0 0 V -9.74439 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1944\" d=\"M 0 0 V -10.8672 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1983\" d=\"M 0 0 V -0.219772 H -17.31\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a605 c2 node n179 p2\" transform=\"translate(-17.31 16.7861)\"><g class=\"a179 i29 leaf node n58 p2 sample\" transform=\"translate(8.655 4.04533)\"><path class=\"edge e232\" d=\"M 0 0 V -4.04533 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a179 c2 node n87 p2\" transform=\"translate(-8.655 3.17964)\"><g class=\"a87 i20 leaf node n40 p2 sample\" transform=\"translate(-5.77 0.865694)\"><path class=\"edge e14\" d=\"M 0 0 V -0.865694 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a87 i28 leaf node n57 p2 sample\" transform=\"translate(5.77 0.865694)\"><path class=\"edge e15\" d=\"M 0 0 V -0.865694 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e233\" d=\"M 0 0 V -3.17964 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1971\" d=\"M 0 0 V -16.7861 H 17.31\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2282\" d=\"M 0 0 V -1.94473 H 18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4449\" d=\"M 0 0 V -19.8849 H -60.3145\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5831\" d=\"M 0 0 V -44.6709 H 45.3035\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6089\" d=\"M 0 0 V -24.1999 H -122.68\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e6505\" d=\"M 0 0 V -63.0683 H -128.695\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab\" transform=\"translate(0 -11)\"/></g></g></g><g class=\"title\" transform=\"translate(500 0)\"><text dominant-baseline=\"hanging\" text-anchor=\"middle\">Tree at genome position 300,000 bp</text></g></svg>"
-      ],
-      "text/plain": [
-       "'<svg baseProfile=\"full\" height=\"250\" version=\"1.1\" width=\"1000\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:ev=\"http://www.w3.org/2001/xml-events\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><rect width=\"100\" height=\"100\" x=\"100\" y=\"10\" fill=\"#EEE\" /><text x=\"140\" y=\"25\">Key</text><g transform=\"translate(103, 40)\" class=\"leaf p0\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population A</text></g><g transform=\"translate(103, 58)\" class=\"leaf p1\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population B</text></g><g transform=\"translate(103, 76)\" class=\"leaf p2\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population C</text></g><g transform=\"translate(103, 94)\" class=\"leaf p3\"><rect width=\"6\" height=\"6\" class=\"sym\" /><text x=\"10\" y=\"7\">Population D</text></g><defs><style type=\"text/css\"><![CDATA[.background path {fill: #808080; fill-opacity: 0}.background path:nth-child(odd) {fill-opacity: .1}.x-regions rect {fill: yellow; stroke: black; opacity: 0.5}.axes {font-size: 14px}.x-axis .tick .lab {font-weight: bold; dominant-baseline: hanging}.axes, .tree {font-size: 14px; text-anchor: middle}.axes line, .edge {stroke: black; fill: none}.axes .ax-skip {stroke-dasharray: 4}.y-axis .grid {stroke: #FAFAFA}.node > .sym {fill: black; stroke: none}.site > .sym {stroke: black}.mut text {fill: red; font-style: italic}.mut.extra text {fill: hotpink}.mut line {fill: none; stroke: none}.mut .sym {fill: none; stroke: red}.mut.extra .sym {stroke: hotpink}.node .mut .sym {stroke-width: 1.5px}.tree text, .tree-sequence text {dominant-baseline: central}.plotbox .lab.lft {text-anchor: end}.plotbox .lab.rgt {text-anchor: start}.polytomy line {stroke: black; stroke-dasharray: 1px, 1px}.polytomy text {paint-order:stroke;stroke-width:0.3em;stroke:white}.leaf.p0>.sym{fill:#1f77b4}.leaf.p1>.sym{fill:#ff7f0e}.leaf.p2>.sym{fill:#2ca02c}.leaf.p3>.sym{fill:#d62728}.leaf.p4>.sym{fill:#9467bd}.leaf.p5>.sym{fill:#8c564b}.leaf.p6>.sym{fill:#e377c2}.y-axis .tick:nth-child(2) .grid {stroke: magenta; stroke-dasharray: 4}]]></style></defs><g class=\"tree t503\"><g class=\"axes\"><g class=\"y-axis\"><g class=\"title\" transform=\"translate(0 122.5)\"><text class=\"lab\" text-anchor=\"middle\" transform=\"translate(11) rotate(-90)\">Time ago (generations)</text></g><line class=\"ax-line\" x1=\"56.8\" x2=\"56.8\" y1=\"218.2\" y2=\"26.8\"/><g class=\"ticks\"><g class=\"tick\" transform=\"translate(56.8 218.2)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">0</text></g></g><g class=\"tick\" transform=\"translate(56.8 201.652)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">170</text></g></g><g class=\"tick\" transform=\"translate(56.8 169.529)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">500</text></g></g><g class=\"tick\" transform=\"translate(56.8 120.858)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">1000</text></g></g><g class=\"tick\" transform=\"translate(56.8 72.1871)\"><line class=\"grid\" x1=\"0\" x2=\"923.2\" y1=\"0\" y2=\"0\"/><line x1=\"0\" x2=\"-5\" y1=\"0\" y2=\"0\"/><g transform=\"translate(-6 0)\"><text class=\"lab\" text-anchor=\"end\">1500</text></g></g></g></g></g><g class=\"plotbox\"><g class=\"c2 node n1223 p6 root\" transform=\"translate(677.551 43.6)\"><g class=\"a1223 c2 node n1044 p6\" transform=\"translate(-128.695 117.808)\"><g class=\"a1044 c2 node n1008 p6\" transform=\"translate(69.0766 6.9279)\"><g class=\"a1008 i17 leaf node n35 p1 sample\" transform=\"translate(-12.9825 49.8646)\"><path class=\"edge e4930\" d=\"M 0 0 V -49.8646 H 12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a1008 c2 node n608 p5\" transform=\"translate(12.9825 28.9317)\"><g class=\"a608 i36 leaf node n73 p3 sample\" transform=\"translate(8.655 20.9329)\"><path class=\"edge e2006\" d=\"M 0 0 V -20.9329 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a608 c2 node n453 p3\" transform=\"translate(-8.655 7.79725)\"><g class=\"a453 i32 leaf node n64 p3 sample\" transform=\"translate(-5.77 13.1356)\"><path class=\"edge e1217\" d=\"M 0 0 V -13.1356 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a453 i36 leaf node n72 p3 sample\" transform=\"translate(5.77 13.1356)\"><path class=\"edge e1218\" d=\"M 0 0 V -13.1356 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2007\" d=\"M 0 0 V -7.79725 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4936\" d=\"M 0 0 V -28.9317 H -12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5244\" d=\"M 0 0 V -6.9279 H -69.0766\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a1044 c2 node n1039 p6\" transform=\"translate(-69.0766 1.21226)\"><g class=\"a1039 c2 node n950 p6\" transform=\"translate(-107.861 13.4023)\"><g class=\"a950 c2 node n841 p4\" transform=\"translate(-136.046 9.49652)\"><g class=\"a841 c2 node n521 p0\" transform=\"translate(-57.4971 16.2939)\"><g class=\"a521 c2 node n498 p0\" transform=\"translate(-79.7432 1.31898)\"><g class=\"a498 c2 node n377 p0\" transform=\"translate(18.7525 4.5848)\"><g class=\"a377 i0 leaf node n1 p0 sample\" transform=\"translate(-8.655 10.4837)\"><path class=\"edge e903\" d=\"M 0 0 V -10.4837 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a377 c2 node n83 p0\" transform=\"translate(8.655 10.1041)\"><g class=\"a83 i1 leaf node n3 p0 sample\" transform=\"translate(-5.77 0.379633)\"><path class=\"edge e6\" d=\"M 0 0 V -0.379633 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a83 i3 leaf node n7 p0 sample\" transform=\"translate(5.77 0.379633)\"><path class=\"edge e7\" d=\"M 0 0 V -0.379633 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e905\" d=\"M 0 0 V -10.1041 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1484\" d=\"M 0 0 V -4.5848 H -18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a498 c2 node n479 p0\" transform=\"translate(-18.7525 0.7544)\"><g class=\"a479 c2 node n378 p0\" transform=\"translate(-11.54 3.82554)\"><g class=\"a378 i0 leaf node n0 p0 sample\" transform=\"translate(-5.77 10.4886)\"><path class=\"edge e907\" d=\"M 0 0 V -10.4886 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a378 i7 leaf node n15 p0 sample\" transform=\"translate(5.77 10.4886)\"><path class=\"edge e908\" d=\"M 0 0 V -10.4886 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1363\" d=\"M 0 0 V -3.82554 H 11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a479 c2 node n339 p0\" transform=\"translate(11.54 4.9255)\"><g class=\"a339 i6 leaf node n12 p0 sample\" transform=\"translate(-5.77 9.38863)\"><path class=\"edge e746\" d=\"M 0 0 V -9.38863 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a339 i7 leaf node n14 p0 sample\" transform=\"translate(5.77 9.38863)\"><path class=\"edge e747\" d=\"M 0 0 V -9.38863 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1361\" d=\"M 0 0 V -4.9255 H -11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1490\" d=\"M 0 0 V -0.7544 H 18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1590\" d=\"M 0 0 V -1.31898 H 79.7432\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a521 c2 node n484 p0\" transform=\"translate(79.7432 1.88357)\"><g class=\"a484 i9 leaf node n18 p0 sample\" transform=\"translate(23.7111 14.5039)\"><path class=\"edge e1389\" d=\"M 0 0 V -14.5039 H -23.7111\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a484 c2 node n439 p0\" transform=\"translate(-23.7111 1.98091)\"><g class=\"a439 c2 node n423 p0\" transform=\"translate(-21.4572 0.579184)\"><g class=\"a423 c2 node n160 p0\" transform=\"translate(16.9494 8.49795)\"><g class=\"a160 i5 leaf node n11 p0 sample\" transform=\"translate(-5.77 3.4459)\"><path class=\"edge e183\" d=\"M 0 0 V -3.4459 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a160 i8 leaf node n17 p0 sample\" transform=\"translate(5.77 3.4459)\"><path class=\"edge e184\" d=\"M 0 0 V -3.4459 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1080\" d=\"M 0 0 V -8.49795 H -16.9494\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a423 c2 node n347 p0\" transform=\"translate(-16.9494 2.3216)\"><g class=\"a347 i8 leaf node n16 p0 sample\" transform=\"translate(16.5888 9.62225)\"><path class=\"edge e777\" d=\"M 0 0 V -9.62225 H -16.5888\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a347 c2 node n281 p0\" transform=\"translate(-16.5887 2.46762)\"><g class=\"a281 i2 leaf node n4 p0 sample\" transform=\"translate(21.6375 7.15463)\"><path class=\"edge e560\" d=\"M 0 0 V -7.15463 H -21.6375\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a281 c2 node n244 p0\" transform=\"translate(-21.6375 1.09996)\"><g class=\"a244 i1 leaf node n2 p0 sample\" transform=\"translate(-14.425 6.05467)\"><path class=\"edge e434\" d=\"M 0 0 V -6.05467 H 14.425\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a244 c2 node n234 p0\" transform=\"translate(14.425 0.330962)\"><g class=\"a234 c2 node n213 p0\" transform=\"translate(-11.54 0.744666)\"><g class=\"a213 i2 leaf node n5 p0 sample\" transform=\"translate(-5.77 4.97904)\"><path class=\"edge e325\" d=\"M 0 0 V -4.97904 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a213 i6 leaf node n13 p0 sample\" transform=\"translate(5.77 4.97904)\"><path class=\"edge e330\" d=\"M 0 0 V -4.97904 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e402\" d=\"M 0 0 V -0.744666 H 11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a234 c2 node n94 p0\" transform=\"translate(11.54 4.59941)\"><g class=\"a94 i4 leaf node n8 p0 sample\" transform=\"translate(-5.77 1.1243)\"><path class=\"edge e28\" d=\"M 0 0 V -1.1243 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a94 i9 leaf node n19 p0 sample\" transform=\"translate(5.77 1.1243)\"><path class=\"edge e29\" d=\"M 0 0 V -1.1243 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e397\" d=\"M 0 0 V -4.59941 H -11.54\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e435\" d=\"M 0 0 V -0.330962 H -14.425\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e566\" d=\"M 0 0 V -1.09996 H 21.6375\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e782\" d=\"M 0 0 V -2.46762 H 16.5887\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1084\" d=\"M 0 0 V -2.3216 H 16.9494\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1158\" d=\"M 0 0 V -0.579184 H 21.4572\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a439 c2 node n371 p0\" transform=\"translate(21.4572 2.19993)\"><g class=\"a371 i3 leaf node n6 p0 sample\" transform=\"translate(-8.655 10.3231)\"><path class=\"edge e877\" d=\"M 0 0 V -10.3231 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a371 c2 node n88 p0\" transform=\"translate(8.655 9.4081)\"><g class=\"a88 i4 leaf node n9 p0 sample\" transform=\"translate(-5.77 0.915014)\"><path class=\"edge e16\" d=\"M 0 0 V -0.915014 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a88 i5 leaf node n10 p0 sample\" transform=\"translate(5.77 0.915014)\"><path class=\"edge e17\" d=\"M 0 0 V -0.915014 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e878\" d=\"M 0 0 V -9.4081 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1155\" d=\"M 0 0 V -2.19993 H -21.4572\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1392\" d=\"M 0 0 V -1.98091 H 23.7111\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1586\" d=\"M 0 0 V -1.88357 H -79.7432\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e3444\" d=\"M 0 0 V -16.2939 H 57.4971\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a841 i16 leaf node n33 p1 sample\" transform=\"translate(57.4971 32.6814)\"><path class=\"edge e3441\" d=\"M 0 0 V -32.6814 H -57.4971\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e4406\" d=\"M 0 0 V -9.49652 H 136.046\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a950 c2 node n926 p6\" transform=\"translate(136.046 2.2762)\"><g class=\"a926 c2 node n860 p5\" transform=\"translate(52.2681 5.19033)\"><g class=\"a860 i34 leaf node n69 p3 sample\" transform=\"translate(10.0975 34.7114)\"><path class=\"edge e3586\" d=\"M 0 0 V -34.7114 H -10.0975\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a860 c2 node n787 p5\" transform=\"translate(-10.0975 5.64008)\"><g class=\"a787 i35 leaf node n71 p3 sample\" transform=\"translate(8.655 29.0713)\"><path class=\"edge e3036\" d=\"M 0 0 V -29.0713 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a787 c2 node n282 p3\" transform=\"translate(-8.655 21.9073)\"><g class=\"a282 i30 leaf node n60 p3 sample\" transform=\"translate(-5.77 7.16398)\"><path class=\"edge e567\" d=\"M 0 0 V -7.16398 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a282 i39 leaf node n78 p3 sample\" transform=\"translate(5.77 7.16398)\"><path class=\"edge e568\" d=\"M 0 0 V -7.16398 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e3041\" d=\"M 0 0 V -21.9073 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3602\" d=\"M 0 0 V -5.64008 H 10.0975\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4143\" d=\"M 0 0 V -5.19033 H -52.2681\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a926 c2 node n884 p5\" transform=\"translate(-52.2681 2.89001)\"><g class=\"a884 c2 node n817 p5\" transform=\"translate(54.5896 5.92309)\"><g class=\"a817 i32 leaf node n65 p3 sample\" transform=\"translate(13.8841 31.0886)\"><path class=\"edge e3277\" d=\"M 0 0 V -31.0886 H -13.8841\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a817 c2 node n663 p5\" transform=\"translate(-13.8841 8.47754)\"><g class=\"a663 i31 leaf node n62 p3 sample\" transform=\"translate(16.2281 22.6111)\"><path class=\"edge e2245\" d=\"M 0 0 V -22.6111 H -16.2281\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a663 c2 node n560 p2\" transform=\"translate(-16.2281 4.29115)\"><g class=\"a560 c2 node n227 p2\" transform=\"translate(15.1463 12.9485)\"><g class=\"a227 i25 leaf node n51 p2 sample\" transform=\"translate(-5.77 5.37142)\"><path class=\"edge e378\" d=\"M 0 0 V -5.37142 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a227 i26 leaf node n53 p2 sample\" transform=\"translate(5.77 5.37142)\"><path class=\"edge e379\" d=\"M 0 0 V -5.37142 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1754\" d=\"M 0 0 V -12.9485 H -15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a560 c2 node n327 p2\" transform=\"translate(-15.1462 9.61452)\"><g class=\"a327 i24 leaf node n49 p2 sample\" transform=\"translate(12.9825 8.70541)\"><path class=\"edge e705\" d=\"M 0 0 V -8.70541 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a327 c2 m296 node n262 p2 s296\" transform=\"translate(-12.9825 2.24044)\"><g class=\"a262 i22 leaf node n44 p2 sample\" transform=\"translate(-8.655 6.46497)\"><path class=\"edge e499\" d=\"M 0 0 V -6.46497 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a262 c2 node n125 p2\" transform=\"translate(8.655 4.18543)\"><g class=\"a125 i24 leaf node n48 p2 sample\" transform=\"translate(-5.77 2.27954)\"><path class=\"edge e96\" d=\"M 0 0 V -2.27954 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a125 i28 leaf node n56 p2 sample\" transform=\"translate(5.77 2.27954)\"><path class=\"edge e97\" d=\"M 0 0 V -2.27954 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e501\" d=\"M 0 0 V -4.18543 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e709\" d=\"M 0 0 V -2.24044 H 12.9825\"/><g class=\"mut m296 s296\" transform=\"translate(0 -0.00511826)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"0.00511826\"/><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\"/><text class=\"lab lft\" transform=\"translate(-5 0)\"/></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1757\" d=\"M 0 0 V -9.61452 H 15.1462\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2260\" d=\"M 0 0 V -4.29115 H 16.2281\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3283\" d=\"M 0 0 V -8.47754 H 13.8841\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3818\" d=\"M 0 0 V -5.92309 H -54.5896\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a884 c2 node n796 p5\" transform=\"translate(-54.5896 7.4442)\"><g class=\"a796 c2 node n449 p2\" transform=\"translate(22.0883 16.689)\"><g class=\"a449 i29 leaf node n59 p2 sample\" transform=\"translate(8.655 12.8785)\"><path class=\"edge e1206\" d=\"M 0 0 V -12.8785 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a449 c2 node n130 p2\" transform=\"translate(-8.655 10.4349)\"><g class=\"a130 i21 leaf node n42 p2 sample\" transform=\"translate(-5.77 2.44358)\"><path class=\"edge e106\" d=\"M 0 0 V -2.44358 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a130 i22 leaf node n45 p2 sample\" transform=\"translate(5.77 2.44358)\"><path class=\"edge e107\" d=\"M 0 0 V -2.44358 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1207\" d=\"M 0 0 V -10.4349 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3107\" d=\"M 0 0 V -16.689 H -22.0883\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a796 c2 node n665 p5\" transform=\"translate(-22.0883 6.88135)\"><g class=\"a665 i38 leaf node n77 p3 sample\" transform=\"translate(18.2116 22.6862)\"><path class=\"edge e2276\" d=\"M 0 0 V -22.6862 H -18.2116\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a665 c2 node n594 p2\" transform=\"translate(-18.2116 2.37783)\"><g class=\"a594 c2 node n81 p2\" transform=\"translate(19.1131 20.0392)\"><g class=\"a81 i23 leaf node n47 p2 sample\" transform=\"translate(-5.77 0.269129)\"><path class=\"edge e2\" d=\"M 0 0 V -0.269129 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a81 i25 leaf node n50 p2 sample\" transform=\"translate(5.77 0.269129)\"><path class=\"edge e3\" d=\"M 0 0 V -0.269129 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1916\" d=\"M 0 0 V -20.0392 H -19.1131\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a594 c2 node n254 p2\" transform=\"translate(-19.1131 14.0047)\"><g class=\"a254 c2 node n150 p2\" transform=\"translate(-15.1463 3.11786)\"><g class=\"a150 i27 leaf node n55 p2 sample\" transform=\"translate(12.9825 3.18575)\"><path class=\"edge e159\" d=\"M 0 0 V -3.18575 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a150 c2 node n137 p2\" transform=\"translate(-12.9825 0.492774)\"><g class=\"a137 i20 leaf node n41 p2 sample\" transform=\"translate(-8.655 2.69297)\"><path class=\"edge e122\" d=\"M 0 0 V -2.69297 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a137 c2 node n107 p2\" transform=\"translate(8.655 1.2251)\"><g class=\"a107 i26 leaf node n52 p2 sample\" transform=\"translate(-5.77 1.46788)\"><path class=\"edge e55\" d=\"M 0 0 V -1.46788 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a107 i27 leaf node n54 p2 sample\" transform=\"translate(5.77 1.46788)\"><path class=\"edge e57\" d=\"M 0 0 V -1.46788 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e126\" d=\"M 0 0 V -1.2251 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e160\" d=\"M 0 0 V -0.492774 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e476\" d=\"M 0 0 V -3.11786 H 15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a254 c2 node n197 p2\" transform=\"translate(15.1462 1.7614)\"><g class=\"a197 i21 leaf node n43 p2 sample\" transform=\"translate(-5.77 4.5422)\"><path class=\"edge e286\" d=\"M 0 0 V -4.5422 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a197 i23 leaf node n46 p2 sample\" transform=\"translate(5.77 4.5422)\"><path class=\"edge e287\" d=\"M 0 0 V -4.5422 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e477\" d=\"M 0 0 V -1.7614 H -15.1462\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1919\" d=\"M 0 0 V -14.0047 H 19.1131\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2280\" d=\"M 0 0 V -2.37783 H 18.2116\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3108\" d=\"M 0 0 V -6.88135 H 22.0883\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3815\" d=\"M 0 0 V -7.4442 H 54.5896\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4148\" d=\"M 0 0 V -2.89001 H 52.2681\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4410\" d=\"M 0 0 V -2.2762 H -136.046\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5175\" d=\"M 0 0 V -13.4023 H 107.861\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1039 c2 node n791 p4\" transform=\"translate(107.861 26.2357)\"><g class=\"a791 i14 leaf node n28 p1 sample\" transform=\"translate(-5.77 29.3445)\"><path class=\"edge e3057\" d=\"M 0 0 V -29.3445 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a791 i15 leaf node n31 p1 sample\" transform=\"translate(5.77 29.3445)\"><path class=\"edge e3058\" d=\"M 0 0 V -29.3445 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e5169\" d=\"M 0 0 V -26.2357 H -107.861\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5251\" d=\"M 0 0 V -1.21226 H 69.0766\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6504\" d=\"M 0 0 V -117.808 H 128.695\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1223 c2 node n1161 p6\" transform=\"translate(128.695 63.0683)\"><g class=\"a1161 c2 node n686 p1\" transform=\"translate(-122.68 87.5041)\"><g class=\"a686 c2 node n329 p1\" transform=\"translate(-23.8012 15.2911)\"><g class=\"a329 c2 node n154 p1\" transform=\"translate(8.655 5.40944)\"><g class=\"a154 i18 leaf node n37 p1 sample\" transform=\"translate(-5.77 3.32712)\"><path class=\"edge e168\" d=\"M 0 0 V -3.32712 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a154 i19 leaf node n38 p1 sample\" transform=\"translate(5.77 3.32712)\"><path class=\"edge e169\" d=\"M 0 0 V -3.32712 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e715\" d=\"M 0 0 V -5.40944 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a329 i10 leaf node n20 p1 sample\" transform=\"translate(-8.655 8.73656)\"><path class=\"edge e712\" d=\"M 0 0 V -8.73656 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2396\" d=\"M 0 0 V -15.2911 H 23.8012\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a686 c2 node n485 p1\" transform=\"translate(23.8013 9.51911)\"><g class=\"a485 c2 node n148 p1\" transform=\"translate(-12.9825 11.3621)\"><g class=\"a148 i10 leaf node n21 p1 sample\" transform=\"translate(-8.655 3.1464)\"><path class=\"edge e152\" d=\"M 0 0 V -3.1464 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a148 c2 node n82 p1\" transform=\"translate(8.655 2.80261)\"><g class=\"a82 i13 leaf node n27 p1 sample\" transform=\"translate(-5.77 0.343786)\"><path class=\"edge e4\" d=\"M 0 0 V -0.343786 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a82 i15 leaf node n30 p1 sample\" transform=\"translate(5.77 0.343786)\"><path class=\"edge e5\" d=\"M 0 0 V -0.343786 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e155\" d=\"M 0 0 V -2.80261 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e1400\" d=\"M 0 0 V -11.3621 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a485 i14 leaf node n29 p1 sample\" transform=\"translate(12.9825 14.5085)\"><path class=\"edge e1398\" d=\"M 0 0 V -14.5085 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2398\" d=\"M 0 0 V -9.51911 H -23.8013\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e6085\" d=\"M 0 0 V -87.5041 H 122.68\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a1161 c2 node n1125 p6\" transform=\"translate(122.68 24.1999)\"><g class=\"a1125 i38 leaf node n76 p3 sample\" transform=\"translate(45.3035 87.3319)\"><path class=\"edge e5828\" d=\"M 0 0 V -87.3319 H -45.3035\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a1125 c2 node n955 p6\" transform=\"translate(-45.3035 44.6709)\"><g class=\"a955 c2 node n936 p6\" transform=\"translate(-60.3145 2.10696)\"><g class=\"a936 c2 node n692 p5\" transform=\"translate(31.1941 16.3469)\"><g class=\"a692 c2 node n597 p5\" transform=\"translate(12.9825 3.65409)\"><g class=\"a597 i33 leaf node n67 p3 sample\" transform=\"translate(-8.655 20.553)\"><path class=\"edge e1934\" d=\"M 0 0 V -20.553 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a597 c2 node n301 p3\" transform=\"translate(8.655 12.6688)\"><g class=\"a301 i37 leaf node n75 p3 sample\" transform=\"translate(-5.77 7.88421)\"><path class=\"edge e633\" d=\"M 0 0 V -7.88421 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a301 i39 leaf node n79 p3 sample\" transform=\"translate(5.77 7.88421)\"><path class=\"edge e634\" d=\"M 0 0 V -7.88421 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1937\" d=\"M 0 0 V -12.6688 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e2438\" d=\"M 0 0 V -3.65409 H -12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a692 c2 node n457 p3\" transform=\"translate(-12.9825 10.9423)\"><g class=\"a457 i33 leaf node n66 p3 sample\" transform=\"translate(-5.77 13.2647)\"><path class=\"edge e1236\" d=\"M 0 0 V -13.2647 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a457 i37 leaf node n74 p3 sample\" transform=\"translate(5.77 13.2647)\"><path class=\"edge e1237\" d=\"M 0 0 V -13.2647 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e2437\" d=\"M 0 0 V -10.9423 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4231\" d=\"M 0 0 V -16.3469 H -31.1941\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a936 c2 node n821 p4\" transform=\"translate(-31.1941 9.20525)\"><g class=\"a821 c2 node n406 p1\" transform=\"translate(23.4406 19.9589)\"><g class=\"a406 i16 leaf node n32 p1 sample\" transform=\"translate(8.655 11.3899)\"><path class=\"edge e1019\" d=\"M 0 0 V -11.3899 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a406 c2 node n92 p1\" transform=\"translate(-8.655 10.3909)\"><g class=\"a92 i12 leaf node n24 p1 sample\" transform=\"translate(-5.77 0.998983)\"><path class=\"edge e24\" d=\"M 0 0 V -0.998983 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a92 i12 leaf node n25 p1 sample\" transform=\"translate(5.77 0.998983)\"><path class=\"edge e25\" d=\"M 0 0 V -0.998983 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1020\" d=\"M 0 0 V -10.3909 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3314\" d=\"M 0 0 V -19.9589 H -23.4406\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a821 c2 node n572 p1\" transform=\"translate(-23.4406 11.7189)\"><g class=\"a572 c2 node n115 p1\" transform=\"translate(15.1463 17.8014)\"><g class=\"a115 i11 leaf node n23 p1 sample\" transform=\"translate(-5.77 1.8285)\"><path class=\"edge e75\" d=\"M 0 0 V -1.8285 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a115 i18 leaf node n36 p1 sample\" transform=\"translate(5.77 1.8285)\"><path class=\"edge e76\" d=\"M 0 0 V -1.8285 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1805\" d=\"M 0 0 V -17.8014 H -15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a572 c2 node n367 p1\" transform=\"translate(-15.1463 9.37612)\"><g class=\"a367 i13 leaf node n26 p1 sample\" transform=\"translate(12.9825 10.2538)\"><path class=\"edge e863\" d=\"M 0 0 V -10.2538 H -12.9825\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a367 c2 node n291 p1\" transform=\"translate(-12.9825 2.64255)\"><g class=\"a291 c2 node n159 p1\" transform=\"translate(8.655 4.16805)\"><g class=\"a159 i17 leaf node n34 p1 sample\" transform=\"translate(-5.77 3.44315)\"><path class=\"edge e179\" d=\"M 0 0 V -3.44315 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a159 i19 leaf node n39 p1 sample\" transform=\"translate(5.77 3.44315)\"><path class=\"edge e181\" d=\"M 0 0 V -3.44315 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e600\" d=\"M 0 0 V -4.16805 H -8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a291 i11 leaf node n22 p1 sample\" transform=\"translate(-8.655 7.61121)\"><path class=\"edge e594\" d=\"M 0 0 V -7.61121 H 8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e867\" d=\"M 0 0 V -2.64255 H 12.9825\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1809\" d=\"M 0 0 V -9.37612 H 15.1463\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e3315\" d=\"M 0 0 V -11.7189 H 23.4406\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4237\" d=\"M 0 0 V -9.20525 H 31.1941\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4458\" d=\"M 0 0 V -2.10696 H 60.3145\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><g class=\"a955 c2 node n666 p5\" transform=\"translate(60.3145 19.8849)\"><g class=\"a666 i30 leaf node n61 p3 sample\" transform=\"translate(18.7525 22.7761)\"><path class=\"edge e2281\" d=\"M 0 0 V -22.7761 H -18.7525\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a666 c2 node n605 p5\" transform=\"translate(-18.7525 1.94473)\"><g class=\"a605 c2 node n599 p5\" transform=\"translate(17.31 0.219772)\"><g class=\"a599 i35 leaf node n70 p3 sample\" transform=\"translate(8.655 20.6116)\"><path class=\"edge e1941\" d=\"M 0 0 V -20.6116 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a599 c2 node n350 p3\" transform=\"translate(-8.655 10.8672)\"><g class=\"a350 i31 leaf node n63 p3 sample\" transform=\"translate(-5.77 9.74439)\"><path class=\"edge e796\" d=\"M 0 0 V -9.74439 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a350 i34 leaf node n68 p3 sample\" transform=\"translate(5.77 9.74439)\"><path class=\"edge e797\" d=\"M 0 0 V -9.74439 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e1944\" d=\"M 0 0 V -10.8672 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1983\" d=\"M 0 0 V -0.219772 H -17.31\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><g class=\"a605 c2 node n179 p2\" transform=\"translate(-17.31 16.7861)\"><g class=\"a179 i29 leaf node n58 p2 sample\" transform=\"translate(8.655 4.04533)\"><path class=\"edge e232\" d=\"M 0 0 V -4.04533 H -8.655\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a179 c2 node n87 p2\" transform=\"translate(-8.655 3.17964)\"><g class=\"a87 i20 leaf node n40 p2 sample\" transform=\"translate(-5.77 0.865694)\"><path class=\"edge e14\" d=\"M 0 0 V -0.865694 H 5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><g class=\"a87 i28 leaf node n57 p2 sample\" transform=\"translate(5.77 0.865694)\"><path class=\"edge e15\" d=\"M 0 0 V -0.865694 H -5.77\"/><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\"/><text class=\"lab\" transform=\"translate(0 11)\"/></g><path class=\"edge e233\" d=\"M 0 0 V -3.17964 H 8.655\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e1971\" d=\"M 0 0 V -16.7861 H 17.31\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e2282\" d=\"M 0 0 V -1.94473 H 18.7525\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e4449\" d=\"M 0 0 V -19.8849 H -60.3145\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e5831\" d=\"M 0 0 V -44.6709 H 45.3035\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab lft\" transform=\"translate(-3 -7)\"/></g><path class=\"edge e6089\" d=\"M 0 0 V -24.1999 H -122.68\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><path class=\"edge e6505\" d=\"M 0 0 V -63.0683 H -128.695\"/><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab rgt\" transform=\"translate(3 -7)\"/></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\"/><text class=\"lab\" transform=\"translate(0 -11)\"/></g></g></g><g class=\"title\" transform=\"translate(500 0)\"><text dominant-baseline=\"hanging\" text-anchor=\"middle\">Tree at genome position 300,000 bp</text></g></svg>'"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from matplotlib import colors\n",
     "styles = [f\".leaf.p{p.id}>.sym\" + \"{fill:\" + colors.to_hex(f\"C{p.id}\") + \"}\" for p in ts.populations()]\n",
     "\n",
+    "# Making a legend can be done, but involves some hand-positioning of elements\n",
     "legend = '<rect width=\"100\" height=\"100\" x=\"100\" y=\"10\" fill=\"#EEE\" /><text x=\"140\" y=\"25\">Key</text>'\n",
     "legend += \"\".join([  # The legend lines, one for each population.\n",
     "    f'<g transform=\"translate(103, {40 + 18*p.id})\" class=\"leaf p{p.id}\">'  # an SVG group\n",
@@ -1032,7 +424,7 @@
     "    for p in ts.populations() if len(ts.samples(p.id)) > 0\n",
     "])\n",
     "\n",
-    "display(ts.at(0.3e6).draw_svg(\n",
+    "ts.at(0.3e6).draw_svg(\n",
     "    size=(1000, 250),\n",
     "    node_labels={},    # Remove all node labels for a clearer viz\n",
     "    mutation_labels={},\n",
@@ -1042,7 +434,7 @@
     "    y_gridlines=True,\n",
     "    y_ticks=[0, 170, 500, 1000, 1500],\n",
     "    title=\"Tree at genome position 300,000 bp\",\n",
-    "))"
+    ")"
    ]
   },
   {
@@ -1050,13 +442,15 @@
    "id": "39364361-7095-4029-8cc0-f4b825fd307f",
    "metadata": {},
    "source": [
-    "## Other analyses\n",
-    "This notebook is fully interactive. Feel free to run other analysis below. Tutorial material is avaiable at https://tskit.dev/tutorials/, and there are also other notebooks in this JupyterLite instance: View -> File Browser will reveal them on the right if they are not shown."
+    "## Other resources and analyses\n",
+    "This notebook is fully interactive. Feel free to change the analyses above or perform more analysis below. \n",
+    "\n",
+    "Extensive static tutorial material is available at https://tskit.dev/tutorials/, and there are also other notebooks in this JupyterLite instance: View &rarr; File Browser will reveal them on the right-hand toolbar if they are not shown."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "0460fee3-4520-4827-9d63-fafdc491a78b",
    "metadata": {},
    "outputs": [],
@@ -1067,7 +461,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e13bb919-0491-4d33-bfb9-ee2d60c68a79",
+   "id": "3323c1ea-62f4-4bf8-a228-6fdc1684d914",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/requirements.txt b/requirements.txt
index 099f238..e99dcdc 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -27,3 +27,7 @@ ipyevents>=2.0.1
 ipympl>=0.8.2
 # Python: ipycanvas library for Jupyter notebooks (optional)
 ipycanvas>=0.9.1
+
+# For running tests of the notebooks
+demesdraw
+stdpopsim>=0.3
\ No newline at end of file