From 0d16e6ee53f5f1fe5b97a8bb9ddd96a44dfc7503 Mon Sep 17 00:00:00 2001
From: gesellkammer <eduardo.moguillansky@gmail.com>
Date: Sun, 27 Oct 2024 15:53:46 +0100
Subject: [PATCH] add test notebooks for cropping and root tree

---
 docs/assets/notebook-reference-chain.png | Bin 0 -> 110051 bytes
 notebooks/test/test-crop.ipynb           | 443 +++++++++++++++++++++++
 notebooks/test/test-root.ipynb           | 253 +++++++++++++
 3 files changed, 696 insertions(+)
 create mode 100644 docs/assets/notebook-reference-chain.png
 create mode 100644 notebooks/test/test-crop.ipynb
 create mode 100644 notebooks/test/test-root.ipynb

diff --git a/docs/assets/notebook-reference-chain.png b/docs/assets/notebook-reference-chain.png
new file mode 100644
index 0000000000000000000000000000000000000000..4a03eeb71ea35199de6f3872e85bc00b6c8873a7
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diff --git a/notebooks/test/test-crop.ipynb b/notebooks/test/test-crop.ipynb
new file mode 100644
index 0000000..6212a87
--- /dev/null
+++ b/notebooks/test/test-crop.ipynb
@@ -0,0 +1,443 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "18dfbc54-b95c-4d21-9c0a-a829e43a339c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "end of score.\t\t   overall amps:\u001b[m      0.0\n",
+      "\t   overall samples out of range:\u001b[m        0\u001b[m\n",
+      "0 errors in performance\n",
+      "\u001b[m"
+     ]
+    }
+   ],
+   "source": [
+    "from maelzel.core import *\n",
+    "from maelzel.core.synthevent import SynthEvent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d6d978eb-492a-406d-a12f-a65073fe74a0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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RpaUl0z81m82+U6Ktug2ZTMb0/9KYJf4YIZPJNBoNXbeBj2uy6s8AjKzJG4pjmuRBlmVdMgdmneQh2PYBAOx7po8LPC7Qd/v2bd/aBxouuw08IZpWsVhcXFycnZ0VRbFSqfiyGCvlQDD9UzQardfrVo81crmc/TAhm6cBhUKhXC63221FUXj5iqLQkKTFxUXaks1maZyS9mWiKDLGisVioGvRAkwY+zzNOrIs37x58+bNm/Tr7u4uY6xarVar1aDbCQAAA+GPC/gtmxAeF2xubgZU8j7ncko0LSvEf41Go6Io0phjmhDsfKFSe6Iomq6yGo/HRVEMbv5AvV5fXFxcWFigbgBjLJvNLi8v68Za0CpP6XSaXka/JhIJSZLQbYAxMtDE34HyNL/xxhtXr17VzlcexyQPk/ccBgAgBLrLxdBMTU198skn4dc78Vw+bdDmeY1Go5Ik8St4QRDa7Xar1fKl25DNZpvNZqlU4s8cksnk4uKiL4XbKBQKsVisUCjQEiuKoqiqWi6XS6WS9mWCIEiSlM1m6WWUvloURfQZYBydPXs2oDzNW1tbW1tb3ssBAIAxYhwRGhBab+PAgQPf//73q9XqzMxMOPXuNy6fNsRiMb7AUbPZ1I7jpxmQLID7c3RR7m+ZffE52YIg2HQG6GU0BzSklgH4ZwIWYA0UnjYAALjwi1/84vz5874UderUqSNHjnz1q189ffo00yzFYVxeLxKJzM3Nma51CR65fNrA+wwLCwtWc38lSfI3LdpQrsgdvgUkgAMYF3Nzc9pfp6ampqamTMNLJpMxXQQWAACcWF1ddfhK7eMC2kLh1yavDoTPa5Zom0UVaaC/x/IBYN9yuALs5uZms9nM5XL5fF67HU//AACGa2pqiv/s/HEBjCxP3YZUKmXTBQxtQBsADB2dD/ivPE/zxYsXL1++/MQTT5w7d47+NGie5r4kSWo2mw899BDOPQAAI+XJJ5+8dOkSUvdMDE/dBtPH9zyPgXE5RQAYZcViUbfFYZ5mG6VS6fLly+fOncM5AwDACl+lVIcWLe27pjxAODx1G0x3YvQWAMYUruwBAKzYX9mbbv/00091y9O5XoEa3QYYBT53G2RZts/rDLA/WZ1vtKzOPYyx+fl55B0HALBnmlWG2V7Za3NHknHMLQMQDk/dBuMA5WazyX9GzxiGyzTxsI5pkjLja1RVNd400lpZWXHTRMfm5ubQbQCACWB1Za/NB6V7vfHK/tq1a9evXw+kfSPp7bffHnYTABijvA31el17ue9Et9tVVfWpp5665557tNsvXbp0584d+vn06dM8LyyAO++99961a9dM//TRRx+F3JghOnz48JNPPhlc+e12mzGWSqV8L/nKlStXr149efLkqVOnfC+cbG9vr6ysBFRFcJ8MwCS5cePG5uamdsvt27c//fTTITVn0hw9evTb3/72sFvhRginAKN2ux30SXNficVi9XqdHhUcYIz1vdtqZW9vb3p6mv+6ubnJ+wyMMe2f/HLjxo2tra0jR44cPXqUMUY3gHd3d7/xjW9oF/mCiXHt2rV91T2w8sknnwy7CQD/j+4cMXSo4K69vT3E6iDcd999t27duvfee/0tlm6IhHw1D6OGInksFksmk9otxlf+/Oc//+lPf8pcZ4mmVNC1Wq1QKNAWVVUTiQRPA5dMJoOYG81TUGvl8/l6ve57XTAKHn300X//+9/DbsXwTU1NBdpzoCzRQeRCpmM20NX3JEnKZDIBVRHcJzPW0uk0XXbgkwHyq1/96ne/+92wWzEcugySjLHp6elYLGa6qDRPVqAjCIJx4DcLLL5RZAthXdQQTgFGyBLtEEXyVColSZJ2i/GVrVaLFlF0Obdhfn6effExRblc5n0Gxlgul3NXsj1jHyiZTKLPMMF0T70nGCXINP3TysqKNiXCZODpICVJwjwogHH31ltvDbsJlkyjq2nuSGKaW4YxJghCKpVaWVnhl1AA+43LbgMdMKIoUvdRkiTtQ4BoNMqfQvhLtxZNMpnkPSSYSIHey7S5Umd3R9lZnVe0jOcYSnegneHn5RwTiUQmb5qQqqp0o8H0eSgA7CvGaEwpI+2v7DOZzOzs7Kuvvsq342oeIFAuuw00EKrb7SqKEovFdGu8FAqFvlda7mgHPkWjUVEUqXZRFIOoDoZuZmZmY2Mjl8s99NBD2u1Wd4O0jOePZDIZ5o0inMAAYJ84ffr05cuXtbHaNFkk8zswHj16FJEWIDTuF2BNp9PdblcUxVarpR2eFI/HAxrBJssyrygajUqSlEgk6vX68vJyENXBKIhGo4yxfD6PEwMMSpblUqkkCALS2AEEbWZmhiFWA0w6992GXC5XrVaXlpZ024ObaaAdj1Sv1wVBUFW1VCoFVB0A13csnKqqnU5Ht1G3c6qqSqPsrHK6McbW1tY+/vhj43bkHnJBVVXTqV0AI8Uqw4xVVhlFUba2toxpZHTZYw4dOoSljQDAX+67DYIgxONxXU7oYrEY3J0GnlyiVqtls1lFUbLZrPZBBwwXT4Qci8X8muT62WefMcas1kOwSg/E6a7UV1dXGWMvvfQSLeBLrK7UvTOu+uWadmljMu5TivlaIgENaATwkVWWd5vcw8YEkSHnHg4orI2jcY+WAKPDfbdBkiRdnyGZTAY3GECWZbp2LBaLhUKhXq+XSqV92GdwkvmYWdz8NkWlGXNwarnIx9npdHyJznSq9veZkutEJSNl3KcU824DzuLgC6vcwzZX9sa4F/KVPYRj3KMlwOg4wKzvo9hYW1vTXckdPnz45ZdfDm5do1//+teMsWeeeSaTyUiStLi4qP1ryOsp8ZvfDnNTvPvuu4yxO3fu2C+9PxmXs6TdbvsSoP/73/96L2QCfPbZZ7qdnO+EPi5NHcRxREvobm5uWhXuvVL6BIxV0Pbt7W3vVWDFNh1+Ie7xk6HvyCqQvvvuu7dv3759+7aualz8ORTmfktHevgr5e/u7vZ9mz5Gy93dXV/Kcc4qvvkioGJ1VYRTkY6THQMokmvPkjaDqD/X6/UWFhaCbhkAAAAAAIyd3//+971er9frRXq9nsNxL2Rvb69UKtHtcy6Xy+Xz+QDa+blisfjRRx9VKhWe9Eq3slvfMe4+6na7mIfd14svvvizn/3Mezk/+tGPxuKBw4kTJ+677z7+Kz04mp2dZYwdPHjw4MGDjLGHH37YvpCvfOUrDz74oHF7qVQ6efLka6+9pt3I98NKpcLTwrtmTDTBq5ibm/MySaPRaDSbTdMQYVqpC9ROYxW+tN+vRk6YYrFIE3C9fDKIpfYogGjdf//9sViM1izSOXr0qDbC0Acb5n5LR7ov4cg5Y94GUz5Gy5deeml9fd1hOb6EIKv45hFFNufF0iHvYo+yOQUEx+GOAfS1andRHtt1vpAlOhaLOZ/HXCgUdH0Gxtj//ve/4GZCl0qljY0NWZZN87GTMFd8u3btWmh1ja+5uTlfvpSDBw9adRtOnTpllTt5ampqamqKGcbN/+EPf9ja2tKuLD49Pd13bH0ikbDZ90xFIhHm3/JHpVJpenpa93kmEgk6EaZSKb+mB5h+ZcaqB0KnmYceesiqEL8OXqsqePslSaL7Iy4uVbGmpA4lQ2TePpkJiKVzc3O6LdPT07FYTBsxNjc3m83mE0888ctf/tI0kgiC4PvCALST9/12fJwrTEd6MpkM+WBxkrfBx2hJy2kM9DY9hlBiE0IDKlaSpFarxSes0iHvog19TwEBQUIPJ+hr1e6iPLZbGWxKdKVSaTQa2i35fF4UxeAyJ8iyXK/XKUVDQFUMaixOdcaT2QcffLC1tXXs2LETJ04cOXLknnvuYc5mozq5sGaa1ZPS6XS73bbJvjyQU6dO+ZigrdVqbW1tTcbK4phS7BBdGGlXYsUd7hERQiw15h5eXV29efPmM88889hjjxlfPzs76/uVvSRJzWbz3LlzhULBXQnB2SdzhREtXSiXy+12G0lvfEFTiCfgwoMN1G2QJEmXpYGWTlJVdXl5WRRFXa5oX6TT6UQi0Ww2+eqrpvh1wPT0dNDXBHwYic3dbmZ9w9uKMe2x6aM917tdqVSqVqsvvPACogCMJnqi6Ptt152dHWRvGE0US7/0pS+dOXNGu/3AgQNHjx612hmsMsQ7jI2UKv6VV16ZjFM4AISgUqn0nyt8VyaT0YaXer1Oq/jE43FZlsd9zXGn3QZVVXW9AsrTHIvFMpnM8vJyp9MJottQKBRkWe479YK/IITvg051c3NzQa+lMKxHewBhUhSlXC7zx5jFYtG+Z6uqqiiKnU6H1n8TBMH0trELxpJ1K7aBvyiWnjlzJvzld2C4kMEd/BJO3DamNranvWzj97I3NjbK5fK47/NOuw2FQkGbJIH3GdjdT0cUxSA+C6syaey49mV4+OiOw+V3rfKV6qiqSlcAxgymAKboyE2lUvRMgCZmmR74qqqWy2Xd5EKHTxKSyaQgCMZsM/Yl+5iwLzi6fAXGQ5WGeo7OOE8AZHAfU4qiyLIcxD1iF8Y6bo8vR90GSZJ0sxe0l+mJRCKZTHa7XUVRwjkziaKo2yLL8ih3G9zlaLt48SL9axx25SRHm2neomq1Gs4RZZw3D+POy5RiG7FYjJ7bVioVuqNTrVaXlpZ0Tw7pXGV60U+skj8mk0ntPQ5jCX1LDpqT637t83HTZS7shRacYbwgWXuYAgqhIVBVlWIUre5VLpeH/hb6xm1dvpchqlQqfJDSoE8tRpCjboNu/8jn87qpXel0utvtSpIUzpSvWq2m21Iul7PZbDiBj6bxra6u0vprLk7hA7l8+fLly5cDrQLARnBTiul2w+LiIh25pVKJh1S+wIv2V/us8O+8847p9lgsZhMZnJR877332vx1IM8+++z7778fdNAAcAhzhUMw1qsyyLJcq9VEUdQGSeej/APiJG5//PHHobXHXqFQSKfTEzMl+kt9X1Gv17UDT+PxuHH8wPz8PGNMe6c8INS/ND7c3NjYSKfTzrNPeEHdhps3b66srOD0D6NDd9PaL8FNKaar+b7XK6qq9j1DMMZ002qZgzmyDkt+4YUX7F/g3F//+tehBA1MHgDQCihamhrHVRkURaHPZ35+vtFo9A2SYXIYt59++ulw2uNEIpGYjD4DY4z1er1isTjsVgAAAAAAwMg5f/48ZYk+wBibn5+36jns7OzU63X+65kzZ7QduOvXr//lL3/58MMPrao5c+bM2bNntdlzPVpdXX3nnXdmZmaOHz/OGLt169b169dv3Ljx9NNPR6NRv2qx9/bbb1+6dCmcukbEPffcYz8AjJaave+++x544IHV1dXd3d2f/OQnvqRuMCZoC620CxcuXL161V2nmiaQ+NUhr1arx44dM97zplooBfXMzMzVq1dp+xNPPHHu3DljObdu3XrrrbdsxrzpGkxpqujn48ePz8zMbG5ufvjhh6bvy75w0ybRJ8y/jn/84x9vvPEGM8SZWq1mE2TIwYMHFxcXjaGmWq2ePHmSJyzXfadeSnYnhJlFhw4dOnToEP184MCBW7dubW9vW6UpcI0+SeZtJ6cdzHTfDo6/IcUJnu7N9KgMiPMQ5Fewunjx4uXLlx1+sPSZaI9Nd6xio+krmX/RcqC3ST8HEUK9oA/EtFibMPWDH/zg9OnTpvEwtPaHH7cnGEVy41nS+MrDhw9//lPPVrlc1v639fV1/ifjBANT0Wi00+nY1+Kc6cGWz+f9Kt+J4BbPmvuiY8eOMcaOHTtGvz711FOpVCqVShWdaX1RLpdjjOVyOe1GH78aLpVKMcZarZYvpVHeunBKa7VaxWKR/0pvxF1F9IW6+7+mpc3NzVnVEo/Ht7e3e188WmmLVqfTicfj9nug7r/wtK+8NKvPpG/hhULB+L+0u8r29jb1/LXVad+mPe0Xp/u/2viga7+Xkt1xUuPMzAwPAt/5zncWFhbsD23jd61FMdOvI4ijT5J528lpBzPdt4Pjb0hxgt6mvztSX86/He/fIxloT6PPJJVK8V/L5XK5XB60Uuf7D71Nv6Ilv/NqL+gQ6oVNfNNVHY/Hi8UiTea0Ki3M9tvUwoV8uI0v2iH5kdjTxHYdfmj3mRKtXdAjn8/z6VOyLDtcGXdnZyedTntPXE+MgxGTyaT2eUgI6OChOxxWiYd03I1p8zdBG7JA9DV2STH9nVJsxX5KscPCreYrEz5WNZVKiaKoqy4ajdoXns/nbb41m8Z7LNk1Ohg5LxmI9wm+P/t1KoFREOZcYX+j5Ztvvvncc885rDqEEBqcVqtFH47NlUPI7R9W3AbSp9ugXdFf208wrtobj8etVsLa2dnJZrO+5MbTZRigpRU9lunOiRMnsF/CcPk7pfj555/XbXHSw3Q9X5lTFKVUKnW7XatEb9lslieDM8rn8w5vHPA1BH0veVDoug9KVVXax0KbxrpvBZSs3VSYc4X9jZbT09NOKvUxhH796193UqMvWq2Woii1Wq3b7fq1sITNKWBQw4rbQPqspMTXJorH4/x4E0WR9xCi0WixWFxfX1cUhcYY9Hq9TqeTz+e15VBuPO/N1a6VFI1G6cbkiGQeAfBOVdV6vU7rtaXT6VKp5CQZH/+//GftIv3lctnJc4bvfve7g7bWeeGPPvqo1Z8WFxcVRWk2m1b98EqlQo/4dOLxeLPZ7HuGkGW5UCgIgjA9Pa1bUMhjyQATQ1GUQqEQiUTm5+enp6f73vU3RqqgF9vxEhtNS+M/u4iWlL7AFw5rDPMhWzqdLhQKDruO3k8Bg0LcHq4+Txv43qDtcfIn7JQrmu/NgiC0221JktLpdL1ez+Vy2WyWl1Cv140pnAYiyzIvjapOJBL1el2Xig7AR6ElxfSe8JKnQdSOJ2Rm6RGNotGou/foS+H2I08oH5woinQPjDEmCEImk3F4z77dblvd0fRYMkw8WZZLpZIgCBP/bDmcZO2m7DO429ToZYGBoURL+5aEVqO/wm8/4vZw9ek28KFH2r417+Jrc0Wzu90GPkyQpjTwp1c7OzuiKHrJB6cdj1Sv1wVBUFV1jNKmwBgJOSmm94SX/FhIJpO6k72T/Mc295bsswt7KTyTybTb7Vqt5uRGWjab9evEo0uZ7GPJMGFUVR27Fffd8StZO+U1cqhvBncnNbpIBhxctDQVXAgNnyzLlNiXt2dY7UfcHpY+g5RMU0hSGI1Go7o+ACV9086i1t2k8ZgPji9kVqvVstkspdwbqSwkMAFoTEsikdAOaAk0KSb1tO2Dr/1+rp1SzE/DXN+1iV1PKfZYeKlU6vV64aSWZ4ylUilqrZexDeGgCzi6kht2W0YCPxONyMXTJKHxHtq5wvxPut3PSaQaaHVyh3OFvcRGo0CjpangQmhotNnflpaWtAOBxqL94COn3QYtWp7JeIOQtuhOyYVCgS/L5eVsLcsyXcYVi8VCoUBPG5D6FPwyrKSYDueTUZ/cFPWfaUqx8SzIzBYw0PIypdjHwgNCqzrSynFjtAgPzQDe2dnBDGBiegMLfOHvXGGeM8Sej3OFbWKjUWjR0tQ4htB6vZ7NZmdnZ63uo414+8F3BxhjoihaPQdYW1ujHxqNBp/S8J///Icx1ul0TIdttNtt3favfe1rdLfA+CfnXn/9dXZ3Mj6tTKr9a5hDlTY3NxljH3zwQdCVXrx4kf71pSJ/S7Nx5coV9sUdxosPPvjAdWm3bt1aXV29ceMGnXiOHz/+3nvvmZZGiYqsyjl48ODm5qbV52as5fHHH6c/OfmoL1686KSLcuvWLWNp9FEvLi4ePHjwxz/+sVWNU1NTx48fv3Hjhm77Aw88cPbs2VgsZt/OCxcuvP7665RXkbZoX++x8HBQfgPm987pWt/PhIIM86OpdOD7/pbpk2TeYq+LWOp9dxoopFALr1y54v1tBhd7PYYg3UFx69Yt/icaPk4/O4xUq6urzt+m9oOlZmj/r5fYaFoXCz5amhrlEGq1W16/fp0uC02X2tf+r7E4BYAVOi6MR6LR3t7e5z/1LHKoAQAAAADAPsdTHPbPDUkDH3WZmGnc0cLCgu7F1ANpNpvajfx2hTYR3UBSqZQud6zu/bgr1p3QMpvSh+lXssNBS3OdI3noWaJdJPjUvcCXpJgOPz0nh6vVt0aLGtdqNecfzqBM26PNFj9e/N05XXC4Y/CY6b2pE5Ml2nt1ZKCQoktm7E5AWaL9CkEhJGs3xWwzuPteYwjR0pRps0chhNp8gDYf+BCDJwTBRZboPnMb2N1HVLo1tmiw2vLysm46I+VAsRryZL+egJVSqUSLbWEyXKAkSZqAh4neJ+3Rmm6VSsVmf3NSi0OYUhymcWk5ZgCPJkmSKpXKKMzv9DEEcZM9VzjkaGlqTENoMpms1Wp0Hw2LnEL/bgPNad7Z2dFeU6bT6VqtxhhrNBrZbJbP8qFpVbpJP3w1hkwmM2j7ZFmu1+uUomHQ/wsDMS6MPXZcT9prtVrOw6LDWkzz0RiN+HyyMZ1SbMXfy6zgYAbwSKFr9EgkkslklpaWaH3SIXIYgvo+i9DCXOGAjGMI1XbY1tfXaXVB3MIA0idvA6nX65lMhjK48Z2edqNCobC8vEyZ3djds52uJ00Lp8bjcReL7KbT6UQi0Ww2+eqrpniXxkl6S5hUrtNVUlfBfh8btBbTmWRGlUqFrxKmFY/HK5XK0NelxtEEo0mW5UQiEc6lzM7Ozkhlb3AYggbq3iwuLkaj0WazaRVzgohUdD1qWmxANYZvHEOoJEmKotRqtXa7jTu2oOOo25BOp4vFYrVazWaztKA4bc9ms+l0mud3Y3e7DdrFnkVRpMPe3YNdiil9Fy/nLxjBDjGlRxnH2BE+VVVpXS+e+nGgVD7hpKv0txYkvAzTwsKCqqruosT+SRg8yhRFKZfLjUaDfi0Wi/Zfh8eQ4oKxxscee8zfKgIKdIEmazdlk8E9oBrBCUEQBEGgESUAOo66DYyxSqUiSVK32xUEQRRFHlxisZjuGE4mk/z2AN1LYIzl83l312pWp4RIJKJ72cg++yuVSl5Wnh0uRVEoSWfQFamqahwlNegdviDSVYaTFBMJL8Ph5HrLyv5JGDzKKM6nUin6LihimJ4mfAkpWslkUhAESZKsIoDvNVrxNwQNK1m7KV0G9xBqBICB9J/bwEmSlEqlNjY25ufnS6WSVR4iClWSJEmSROMvk8mkv2MQjef+kcqlOgHPFvhI09nZ2VwuF/TtVVmWBUGwmVlx7do1J4NZRVYAAAm2SURBVOX4OIUOSTFNjddMPpg8sVhMURRJkmhhHMZYtVo1noz8CimElhWiiXZWYzb61uhjBknMFR5fE/8GYeIN0G2IxWKSJNFyftVqNZFIlEolSZJ0IZuiaqFQyGQyOzs7+Xze92t647Ozcrk8OulUx3puMT0gSiQSVikhg6ix75Ig//znP50U5csUOiTFtDEuU4ph8tAaA4uLi3RnSntrRneK8TGkkFgsZn/n3kmNlGvSF5MRgsZxrrB34xtCl5aW8vn8sFsBw3eAMaaqqvMr+0wmc/Lkyddee21lZaVarVpdH29sbDz88MMvvvhiMpmUJMmv5q6trV24cOHNN980Vvfkk0++/PLLjzzyiF91WaGryd3dXav3RZeY/K+6X52j3KKbm5u+fID2pV27do3OavPz86b/13kb6P2aTnEz2tvbe/755z/66CP7l129etVJA374wx9evHjx3Xff1W2fmZl58cUXz549a1PI2trav/71L2YxlVn7CXipZTI4/HInDL3r7e1t79+v8xL4K9fW1h588MEjR44MWhcd+L5/Zbwj7eXT6BtLtXq9HmMsEokYX6x9d/6GFKL90o3x3GGNR48e9SsyTEYI4v0Eau1AJ45xNzpv0+bkbtzVc7ncWOxa4Bx9y8YQZ6fX6y0sLATdMgAAAAAAGDt//OMfKd1bpNfrKYri43i7brdbKpVyudykPs+iNzg7O/vqq6+avqBYLK6srPA8r/Tr+fPn19bWzp4967yiRqPRbDYH/ST39vb+9Kc/Wa0lalqaTT6Nl19++amnnjK9x2lfUaVScZK44Lnnnrt+/br9aw4fPnz+/HkX91mds/kEHL4RmHh04M/NzXkZgkh7Gg8OfV95+PBhxtjDDz+8srJC260Cgi/HY0Ds22YTS7UokPI38re//e03v/kNY+yZZ5555ZVX+Mt8DymZTEb7pevCexA17k+67xcARsr/r37ke6pqiqcDJZkfL/QG5+bmrF5Aqbnp5+3tbW0QLJfLziuiaSQDfZKdTsc+xU+hUDD+L91r4vF4sVikZruu6Pz5804a7GRnDWFf0tWoTYoZdNUwLujAT6VS/FcanD1QIc6jLj8Yt7e3e70enwHMGKMtWn4dj0Ho27ZvfvObTsqhuEpD4be3t2kGLU1W1r7M95DCGMvn87pmBFrj/kQ7CX2/ADCyBpgSDQMZzbnFfafl0QrZlUrFZgqgk4ouX75sXxEZkVWJkBQTHAotYbC/M4AvXboUTDP7cNK2zz77bKAyeY7kVCplzGccREixDwUjEsTG3fjOFQbYVwboNiiKQtdSkUiEsjcE16zxpV24s9Fo+Ljonj1+KrV/2be+9S3jxlarxW+u982k47Ci+++/3/4FZESWBJEkqdls0n1EJMUEG6ElDKZL1b7Lyzg8Hr/85S/71jLHHLbt2WefdV6moijpdLrb7RaLRWOfgQUcUvjK1KHVCAAwUpyme6ObRvwE0O12c7mcTSL6iTFQys9SqWQz7jkajdqMoTdWNFCXo1wuO3n97OyscSN1FaxGHvtYkVGlUpFl2bisRDwer1Qqoe1dSIoJvjMe0aaLdDkvjf+s7dn6ezz6K4i2LS4uRqNRm1NPECGFHj+aFhtQjfuQlwzuABAap92GbDZrPAGUSiVjTByd/AkeuUj5adNnqNVq2WzWNCb6klvUycOfaDTq/Rzmb0WxWEyWZVEUaXAUY0wQhEwm0/ehB8AQ2ScMtjqivcyl5sddPp/XdhtCO/BdCKht9mv8BxFS2u22TUBGEPMFxi8AjAVH3Qars+PGxgalgtZu7HQ6/jRtqGRZzmazNqMtb9++3beQeDyezWYlSep2u1Y5OPtW5PCZg5OBoS7G68uyLEmS9j8GUVE2m8U9ORgLlIiGdm/TUft9j2gXVFWluQ3JZFI3Sj6gA98X/rYtk8m02+1areYkL1jQIUVRFN1oRgQxANgPnD5tcI6P7Pe95NDoRmSZ2t3dtS+k1WpRh8rmnpOTit555x37ikg0GrUvZ6BpedoZGrSFz8j0t6JRtrS0hHkOoGOfMNjJET0o7QxgURSNM4BH9nj0t22lUkk7L3woUqmULMs7OzvGbgMAwH7gdSUl440fetQ4doni6ba6JEl//vOfz50752RuMb1em/LC4dxiRVGcVxSLxagi+9Fffk3Lq9fr2Wx2dnbWagGo/TP/L51OT8x7Ae/sx5w4P6LT6TQd0boFkUwNdwawR6PcNudomV1aGNR+fBQAwORzskqr1bKhxrWoaVIpX9p8XHiZCxuNRnWl6Rb2Nq7z3XfBPlMLCws2b0GXIIKLx+PNZrPvJ2C/trr2i/ZY0SjrdDqDLsMP+wr7YnDjh7br1JadTseqLiqcMUYzgK1eNsrH4yi3zTVt+ggAgP3G0SClWCy2sLCwvLzMt0Sj0UKhoHu+TBMBGWNeFgwZigl43OxlWl42m9V+uTrxeDyXy/lS0Yij9ZSG3QoYP4HOHAh/BrBfRrltAADghsPuBZ/onEqlrG600C23sXvUQDqdTqvVokSwfeVyudZdxoytpk8b6E42vXh7e9tFRcG9d5sG4KYaAMesEwa7OKLX19dt6qJbMLVaLdi3BAPC0wYA2M+cdht6d09jdOLUXSuvr68vLCwwxpLJpPEyerw4SflpX4L2YmJ9fV37mF47BsZ7RX7R1ZtMJvkMjXAaADAW2BcH7OluEIzOEQ3BocGc6DYAwP40wEpKtIrF0tJSo9EQRZFnIVAUhYa4JJNJ40IfYyebzTYaDau/DjS3uNVq6Qb/6OYW+1KRd9oFT9bX12nIlsPsbwD7kzFh8Ogc0RAcf5fWBQAYM4P2M1qtFp+rx0Wj0WKxOO7PGcg+nFvc6XSazWbfmdwA+xxjLJVK5fN57ZHL/zo6RzQEh75TPG0AgP0p0rMd2m5FURRZljudzvT0tCAIkzfFLaC5xaIo6mY3js58wXQ63W63+f6g+xUAIpGIcaPuGBmdIxqCkM1mVVWtVCpYPgEA9iGX3QYwZXpVQXj2t5GFbgOAPdMDnI/rAwAAmGxe072BDe3c4hHvMwDAQFKpFM2B1iZ8BAAAmGADTImGviZpbvHS0hLuoQJo0WpyfFgmPZEbdqMAAABCgm6DnyRJUhSlVqu12+1xv+ZOp9N4QgKgRavJAQAA7E8YpOQnQRCy2eywW+FSpVLhqTkAAAAAALTwtAE+JwgC1gYBAAAAAFN42gAA4AYmQwMAwL6Cpw2Bw9xigImEhMEAALCvoNsQOMwtBgAAAIBxh26D/yqViiRJw24FAARrYWFBVdVYLDbshgAAAIQBWaIBAAAAAKCP/wNi8DypZWBuCQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "width": 781.5
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sc = Chain([Note(m, 0.25) for m in range(60, 72)], offset=0)\n",
+    "sc.append(Chain([Note(m, 0.5) for m in range(60, 72)]))\n",
+    "sc.show()\n",
+    "# sc.play()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c0e642cc-6a10-478f-b773-33bd105d6b92",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "width": 597.75
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<code><span style=\"font-size: 85%\"><b>Chain</b> - beat: 2.25, offset: 2.25, dur: 2.85</span></code><br><code><span style=\"color:#BBBBBB;font-size:85%\">  location  beat   offset      dur         name      gliss dyn  playargs            info                </span></code><br><code><span style=\"color:#9090FF;font-size:85%\">  0:2.25    2.25   (0)         0.25        4A        F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">  0:2.5     2.5    (0.25)      0.25        4A#       F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">  0:2.75    2.75   (0.5)       0.25        4B        F          None                -</span></code><br><code><span style=\"font-size: 85%\">  <b>Chain</b> - beat: 3, offset: None, dur: 2.1</span></code><br><code><span style=\"color:#BBBBBB;font-size:85%\">    location  beat   offset      dur         name      gliss dyn  playargs            info                </span></code><br><code><span style=\"color:#9090FF;font-size:85%\">    0:3       3      (0)         0.5         4C        F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">    0:3.5     3.5    (0.5)       0.5         4C#       F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">    1:0       4      (1)         0.5         4D        F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">    1:0.5     4.5    (1.5)       0.5         4D#       F          None                -</span></code><br><code><span style=\"color:#9090FF;font-size:85%\">    1:1       5      (2)         0.1         4E        F          None                -</span></code>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sc2 = sc.cropped((0, 2.25), (1, 1.1))\n",
+    "sc2.show()\n",
+    "sc2.dump()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "da6c9b0f-6724-4b06-8821-8ee363305722",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct = ScoreStruct(r'''\n",
+    "2/4, 60\n",
+    "2/4, 120\n",
+    "3/4, 72\n",
+    "''')\n",
+    "# struct.activate()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b893683f-9b91-4cbc-8bec-a61a3b247009",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "width": 829.5
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sc = Chain([Note(m+0.25, 0.25) for m in range(60, 72)], offset=1)\n",
+    "sc.append(Chain([Note(m, 0.5) for m in range(60, 72)]))\n",
+    "sc.setScoreStruct(struct)\n",
+    "# print(sc.scorestruct())\n",
+    "# sc.synthEvents(skip=struct.beat((2, 0.)), end=struct.beat((2, 2)), delay=3)\n",
+    "# evs = sc.synthEvents(skip=1.1, end=3, delay=0)\n",
+    "sc.show()\n",
+    "# SynthEvent.plotEvents(evs, linewidth=2, notenames=True)\n",
+    "# SynthEvent.dumpEvents(evs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "aac62a0c-f254-48ba-8894-ce5e265753e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">Chain([<span style=\"color:#6666E0\">4D↑:0.25♩</span>, <span style=\"color:#6666E0\">4D♯↑:0.25♩</span>, <span style=\"color:#6666E0\">4E↑:0.25♩</span>, <span style=\"color:#6666E0\">4F↑:0.25♩</span>, <span style=\"color:#6666E0\">4G♭↑:0.25♩</span>, <span style=\"color:#6666E0\">4G↑:0.25♩</span>, <span style=\"color:#6666E0\">4G♯↑:0.25♩</span>, <span style=\"color:#6666E0\">4A↑:0.25♩</span>, <span style=\"color:#6666E0\">4B♭↑:0.25♩</span>, <span style=\"color:#6666E0\">4B↑:0.25♩</span>, …], dur=6.75, offset=1.5)</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:731px\"\n",
+       "             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\"/>"
+      ],
+      "text/plain": [
+       "Chain([4D↑:0.25♩, 4D♯↑:0.25♩, 4E↑:0.25♩, 4F↑:0.25♩, 4G♭↑:0.25♩, 4G↑:0.25♩, 4G♯↑:0.25♩, 4A↑:0.25♩, 4B♭↑:0.25♩, 4B↑:0.25♩, …], offset=3/2)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sc2 = sc.cropped(1.5, (3, 1.25))\n",
+    "sc2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e161be6c-776a-4531-aa59-8d516a933fa7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "\n",
+      "--Csound version 6.19 (double samples) Oct 16 2024\n",
+      "[commit: 937aa495e250d758efaa28e9697a8b75237c80cd]\n",
+      "\u001b[mlibsndfile-1.2.0\n",
+      "\u001b[msr = 48000.0,\u001b[m kr = 750.000,\u001b[m ksmps = 64\n",
+      "\u001b[m0dBFS level = 1.0,\u001b[m A4 tuning = 442.0\n",
+      "\u001b[maudio buffered in 256 sample-frame blocks\n",
+      "\u001b[mreading 2048-byte blks of shorts from adc:Built-in Audio Analog Stereo: (RAW)\n",
+      "writing 512 sample blks of 64-bit floats to dac:Built-in Audio Analog Stereo:\n",
+      "SECTION 1:\n",
+      "\u001b[m"
+     ]
+    }
+   ],
+   "source": [
+    "session = getSession()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "562f1abe-18be-4c65-8489-f49f1b02e629",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "session.dumpInstrs()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3929b90c-c944-44cd-bb91-a0c3c32af81a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "defPresetSoundfont('piano1', "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f2dc844-145f-4961-9223-49e760478408",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "session.defInstr('reverb1'), r'''\n",
+    "|kfeedback=0.85|\n",
+    "a1, a2 monitor\n",
+    "...\n",
+    "outch 1, -a1 + awet1, 2, -a2 + awet2\n",
+    "''')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "a67f1315-bab2-4a92-b19f-2d365a3a3ab8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "410e391491ea4be7ad15bd926196a21b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Button(description='Stop', style=ButtonStyle())"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1187a79efd90428691c27e415f70ef10",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<small><span style=\"\"><b>SynthGroup</b></span>(synths=<code style=\"\">19</code>)</small>\n",
+       "<p><small>Instr: <strong style=\"color:MediumSeaGreen\">preset:.piano</strong> - <b>19</b> synths</small></p>\n",
+       "<table style=\"font-size: smaller\"<thead><tr><th style=\"text-align:left\">p1</th><th style=\"text-align:left\">start</th><th style=\"text-align:left\">dur</th><th style=\"text-align:left\">p4</th><th style=\"text-align:left\">kpos</th><th style=\"text-align:left\">kgain</th><th style=\"text-align:left\">idataidx_</th><th style=\"text-align:left\">inumbps</th><th style=\"text-align:left\">ibplen</th><th style=\"text-align:left\">ichan</th><th style=\"text-align:left\">ifadein</th><th style=\"text-align:left\">ifadeout</th><th style=\"text-align:left\">ipchintrp_</th><th style=\"text-align:left\">ifadekind</th><th style=\"text-align:left\">ktransp</th><th style=\"text-align:left\">ipitchlag</th><th style=\"text-align:left\">ivel</th><th style=\"text-align:left\">18</th><th style=\"text-align:left\">19</th><th style=\"text-align:left\">20</th><th style=\"text-align:left\">...</th></tr></thead><tbody><tr><td style=\"text-align:left\">501.0064 <b>𝍪</b></td><td style=\"text-align:left\">1.543</td><td style=\"text-align:left\">0.250</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.5</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">18</td><td style=\"text-align:left\">2</td><td style=\"text-align:left\">3</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.1</td><td style=\"text-align:left\">-1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">62.25</td><td style=\"text-align:left\">...</td></tr><tr><td style=\"text-align:left\">501.0065 <b>𝍪</b></td><td style=\"text-align:left\">1.793</td><td style=\"text-align:left\">0.250</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.5</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">18</td><td style=\"text-align:left\">2</td><td style=\"text-align:left\">3</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.1</td><td style=\"text-align:left\">-1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">63.25</td><td style=\"text-align:left\">...</td></tr><tr><td style=\"text-align:left\">501.0066 <b>𝍪</b></td><td style=\"text-align:left\">2.043</td><td style=\"text-align:left\">0.125</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.5</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">18</td><td style=\"text-align:left\">2</td><td style=\"text-align:left\">3</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.1</td><td style=\"text-align:left\">-1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">64.25</td><td style=\"text-align:left\">...</td></tr><tr><td style=\"text-align:left\">501.0067 <b>𝍪</b></td><td style=\"text-align:left\">2.168</td><td style=\"text-align:left\">0.125</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.5</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">18</td><td style=\"text-align:left\">2</td><td style=\"text-align:left\">3</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0.02</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">0.1</td><td style=\"text-align:left\">-1</td><td style=\"text-align:left\">0</td><td style=\"text-align:left\">65.25</td><td style=\"text-align:left\">...</td></tr><tr><td style=\"text-align:left\">...</td></tr></tbody></table>"
+      ],
+      "text/plain": [
+       "SynthGroup(n=19)\n",
+       "    Synth(𝍪 preset:.piano=501.0064 start=72.853 dur=0.250 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=62.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0065 start=73.103 dur=0.250 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=63.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0066 start=73.353 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=64.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0067 start=73.478 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=65.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0068 start=73.603 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=66.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0069 start=73.728 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=67.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.007 start=73.853 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=68.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0071 start=73.978 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=69.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0072 start=74.103 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=70.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0073 start=74.228 dur=0.125 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=71.25 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0074 start=74.353 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=60 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0075 start=74.769 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=61 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0076 start=75.186 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=62 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0077 start=75.603 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=63 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0078 start=76.019 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=64 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0079 start=76.436 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=65 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.008 start=76.853 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=66 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0081 start=77.269 dur=0.417 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=67 p19=0.515178 …)\n",
+       "    Synth(𝍪 preset:.piano=501.0082 start=77.686 dur=0.208 p4=0.5 kpos=1 kgain=18 idataidx_=2 inumbps=3 ibplen=1 ichan=0.02 ifadein=0.02 ifadeout=0 ipchintrp_=1 ifadekind=0 ktransp=0.1 ipitchlag=-1 ivel=0 p18=68 p19=0.515178 …)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sc2.play()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "d4dbe28e-d3f4-4391-b573-3e8e95948240",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chain = Chain([\n",
+    "            \"4C:0.5\",\n",
+    "            \"4D\",\n",
+    "            Chain([\"4E:0.5\"], offset=2)\n",
+    "            ], offset=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "26111a23-a3dc-4b17-84ca-25659a552eaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(4C:0.5♩, Fraction(1, 1)), (4D:1♩, Fraction(3, 2)), (4E:0.5♩, Fraction(3, 1))]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chain.eventsWithOffset()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5e55c3be-bf08-46e0-b500-7a2759eb146a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chain = Chain([\n",
+    "     Chain(\"4E:0.5\", offset=2), \n",
+    "     \"4C:0.5\",\n",
+    "     \"4D\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "8f9e3679-6caa-45b3-835a-98ad1ddbc657",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4E:0.5♩\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">4E:0.5♩</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:198px\"\n",
+       "             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\"/>"
+      ],
+      "text/plain": [
+       "4E:0.5♩"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "note = chain.firstEvent()\n",
+    "note.dump()\n",
+    "note"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e3822a01-4cb6-406d-91fa-081a6ed710d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "note.offset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d19244bb-b846-4855-9581-a9bd1e888062",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/test/test-root.ipynb b/notebooks/test/test-root.ipynb
new file mode 100644
index 0000000..0a9a0a3
--- /dev/null
+++ b/notebooks/test/test-root.ipynb
@@ -0,0 +1,253 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b12fc76e-b8fe-4aa8-a93c-4dfc0778b45a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "end of score.\t\t   overall amps:\u001b[m      0.0\n",
+      "\t   overall samples out of range:\u001b[m        0\u001b[m\n",
+      "0 errors in performance\n",
+      "\u001b[m"
+     ]
+    }
+   ],
+   "source": [
+    "from maelzel.core import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b0084107-46e5-4af8-8f13-1c5b18565823",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">Voice([<span style=\"color:#6666E0\">4C:1♩</span>, <span style=\"color:#6666E0\">Chain([4D:1♩, 4E:1♩, 4F:1♩])</span>], dur=4)</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:233px\"\n",
+       "             src=\"data:image/png;base64,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\"/>"
+      ],
+      "text/plain": [
+       "Voice([4C:1♩, Chain([4D:1♩, 4E:1♩, 4F:1♩])])"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "v = Voice([\n",
+    "    \"4C:1\",\n",
+    "    Chain(\"4D 4E 4F\")\n",
+    "])\n",
+    "v"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "bc2f88d4-c3d0-49fe-9e6d-78911c34ea82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s = Score([v])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "446eff9d-de94-4b6b-82dc-26280d0ae995",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">Chain([<span style=\"color:#6666E0\">4D:1♩</span>, <span style=\"color:#6666E0\">4E:1♩</span>, <span style=\"color:#6666E0\">4F:1♩</span>], dur=3)</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:231px\"\n",
+       "             src=\"data:image/png;base64,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\"/>"
+      ],
+      "text/plain": [
+       "Chain([4D:1♩, 4E:1♩, 4F:1♩])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[0][1][0].parent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1bc1c9d9-b5b9-468b-a24b-5e9e42543524",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "v2 = v.copy()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "462cc3b7-87ce-4fa5-997e-72cdf952d199",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "v2.parent is None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fbbca1c6-7876-46d4-a874-6cfabda0533e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "v2.root() is v2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "060773a4-d6df-4bbd-8673-322bcf23f77c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">Score(1 voices)</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:233px\"\n",
+       "             src=\"data:image/png;base64,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\"/>"
+      ],
+      "text/plain": [
+       "Score(1 voices)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[0].firstEvent().root()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0d110f6c-10ca-4a07-abd2-eddd94cc9b4f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<code style=\"white-space: pre-line; font-size:0.9em;\">Score(1 voices)</code><br>\n",
+       "        <img style=\"display:inline; padding:10px;\n",
+       "margin-top:14px;\n",
+       "width:233px\"\n",
+       "             src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATcAAABkCAIAAABsLeCIAAAJLmlDQ1BJQ0MgUHJvZmlsZQAAeJyVlWdQk1kXx+/zPOmFQBJCh1BDkSolgJQQWijSq6hA6J1QRWyIuAIriog0RZBFARdclSJrRRQLi4ICFnSDLALKunEVUUFZcN8ZnfcdP7z/mXvPb/5z5t5zz/lwASCIg2XBy3tiUrrA28mOGRgUzATfKIyflsLx9HQD39W7EQCtxHu638/5rggRkWn85bi4vHL5KYJ0AKDsZdbMSk9Z4aPLTA+P/8JnV1iwXOAy31jh6H957EvOvyz6kuPrzV1+FQoAHCn6Gw7/hv9z74pUOIL02KjIbKZPclR6Vpggkpm20gkel8v0FCRHxSZEflPw/5X8HaVHZqevRG5yyiZBbHRMOvN/DjUyMDQEX2fxxutLjyFG/3/PZ0VfveR6ANhzACD7vnrhlQB07gJA+tFXT225r5R8ADru8DMEmf96qJUNDQiAAuhABigCVaAJdIERMAOWwBY4ABfgAXxBENgA+CAGJAIByAK5YAcoAEVgHzgIqkAtaABNoBWcBp3gPLgCroPb4C4YBo+BEEyCl0AE3oEFCIKwEBmiQTKQEqQO6UBGEBuyhhwgN8gbCoJCoWgoCcqAcqGdUBFUClVBdVAT9At0DroC3YQGoYfQODQD/Q19hBGYBNNhBVgD1ofZMAd2hX3h9XA0nArnwPnwXrgCrodPwh3wFfg2PAwL4ZfwHAIQIsJAlBFdhI1wEQ8kGIlCBMhWpBApR+qRVqQb6UPuIUJkFvmAwqBoKCZKF2WJckb5ofioVNRWVDGqCnUC1YHqRd1DjaNEqM9oMloerYO2QPPQgehodBa6AF2ObkS3o6+hh9GT6HcYDIaBYWHMMM6YIEwcZjOmGHMY04a5jBnETGDmsFisDFYHa4X1wIZh07EF2ErsSewl7BB2EvseR8Qp4YxwjrhgXBIuD1eOa8ZdxA3hpnALeHG8Ot4C74GPwG/Cl+Ab8N34O/hJ/AJBgsAiWBF8CXGEHYQKQivhGmGM8IZIJKoQzYlexFjidmIF8RTxBnGc+IFEJWmTuKQQUgZpL+k46TLpIekNmUzWINuSg8np5L3kJvJV8lPyezGamJ4YTyxCbJtYtViH2JDYKwqeok7hUDZQcijllDOUO5RZcby4hjhXPEx8q3i1+DnxUfE5CZqEoYSHRKJEsUSzxE2JaSqWqkF1oEZQ86nHqFepEzSEpkrj0vi0nbQG2jXaJB1DZ9F59Dh6Ef1n+gBdJEmVNJb0l8yWrJa8IClkIAwNBo+RwChhnGaMMD5KKUhxpCKl9ki1Sg1JzUvLSdtKR0oXSrdJD0t/lGHKOMjEy+yX6ZR5IouS1Zb1ks2SPSJ7TXZWji5nKceXK5Q7LfdIHpbXlveW3yx/TL5ffk5BUcFJIUWhUuGqwqwiQ9FWMU6xTPGi4owSTclaKVapTOmS0gumJJPDTGBWMHuZImV5ZWflDOU65QHlBRWWip9KnkqbyhNVgipbNUq1TLVHVaSmpOaulqvWovZIHa/OVo9RP6Tepz6vwdII0Nit0akxzZJm8Vg5rBbWmCZZ00YzVbNe874WRoutFa91WOuuNqxtoh2jXa19RwfWMdWJ1TmsM7gKvcp8VdKq+lWjuiRdjm6mbovuuB5Dz00vT69T75W+mn6w/n79Pv3PBiYGCQYNBo8NqYYuhnmG3YZ/G2kb8Y2qje6vJq92XL1tddfq18Y6xpHGR4wfmNBM3E12m/SYfDI1MxWYtprOmKmZhZrVmI2y6WxPdjH7hjna3M58m/l58w8WphbpFqct/rLUtYy3bLacXsNaE7mmYc2ElYpVmFWdldCaaR1qfdRaaKNsE2ZTb/PMVtU2wrbRdoqjxYnjnOS8sjOwE9i1281zLbhbuJftEXsn+0L7AQeqg59DlcNTRxXHaMcWR5GTidNmp8vOaGdX5/3OozwFHp/XxBO5mLlscel1Jbn6uFa5PnPTdhO4dbvD7i7uB9zH1qqvTVrb6QE8eB4HPJ54sjxTPX/1wnh5elV7Pfc29M717vOh+Wz0afZ552vnW+L72E/TL8Ovx5/iH+Lf5D8fYB9QGiAM1A/cEng7SDYoNqgrGBvsH9wYPLfOYd3BdZMhJiEFISPrWeuz19/cILshYcOFjZSNYRvPhKJDA0KbQxfDPMLqw+bCeeE14SI+l3+I/zLCNqIsYibSKrI0cirKKqo0ajraKvpA9EyMTUx5zGwsN7Yq9nWcc1xt3Hy8R/zx+KWEgIS2RFxiaOK5JGpSfFJvsmJydvJgik5KQYow1SL1YKpI4CpoTIPS1qd1pdOXP8X+DM2MXRnjmdaZ1Znvs/yzzmRLZCdl92/S3rRn01SOY85Pm1Gb+Zt7cpVzd+SOb+FsqdsKbQ3f2rNNdVv+tsntTttP7CDsiN/xW55BXmne250BO7vzFfK350/sctrVUiBWICgY3W25u/YH1A+xPwzsWb2ncs/nwojCW0UGReVFi8X84ls/Gv5Y8ePS3qi9AyWmJUf2YfYl7RvZb7P/RKlEaU7pxAH3Ax1lzLLCsrcHNx68WW5cXnuIcCjjkLDCraKrUq1yX+ViVUzVcLVddVuNfM2emvnDEYeHjtgeaa1VqC2q/Xg09uiDOqe6jnqN+vJjmGOZx543+Df0/cT+qalRtrGo8dPxpOPCE94nepvMmpqa5ZtLWuCWjJaZkyEn7/5s/3NXq25rXRujregUOJVx6sUvob+MnHY93XOGfab1rPrZmnZae2EH1LGpQ9QZ0ynsCuoaPOdyrqfbsrv9V71fj59XPl99QfJCyUXCxfyLS5dyLs1dTrk8eyX6ykTPxp7HVwOv3u/16h245nrtxnXH61f7OH2XbljdOH/T4ua5W+xbnbdNb3f0m/S3/2byW/uA6UDHHbM7XXfN73YPrhm8OGQzdOWe/b3r93n3bw+vHR4c8Rt5MBoyKnwQ8WD6YcLD148yHy083j6GHit8Iv6k/Kn80/rftX5vE5oKL4zbj/c/83n2eII/8fKPtD8WJ/Ofk5+XTylNNU0bTZ+fcZy5+2Ldi8mXKS8XZgv+lPiz5pXmq7N/2f7VLwoUTb4WvF76u/iNzJvjb43f9sx5zj19l/huYb7wvcz7Ex/YH/o+BnycWshaxC5WfNL61P3Z9fPYUuLS0j9CLJC+ERlPpwAADpdJREFUeJztncGP28QXxyc/FrErtZW9B5CKRLHTAwgQWnuBK5KdC+ckR8QlzhFOcf6EJBfEcZ0bN5L8AyiuVG4IeVKkXqAQp4vUw1YoDruVughEfodHR4OdOF7HdpzN+xyqdOLYL1k/z8yb73tTmM/nZJspFArVavWbb77ZtCEIkhb/27QBCIKsAL0UQfIOeimC5B30UgTJO+ilCJJ30EsRJO+glyJI3kEvRZC8g16KIHkHvRRB8g56KYLkHfRSBMk76KUIknfQSxEk76CXIkjeQS9FkLyDXhoGpdQwDFEUC4VCoVDQdZ1S6jvG8zzTNOEYURRN09yIqch1Zr7lEEKq1WoaZz45OSGEKIoyHo/n8/l4PCaECIIA/wWm06miKJIkQSN8pFarpWEPsrOgly7GcRxCiCRJ0+kUWlqtFjzXTk5O2GGNRoMQMhwOfS2tVitxk5CdBUe8i4GBa7PZFEURWtgLVVXhheu6nU5HURRd19kHq9UqIQQ6VQRJBPTSBVBK7927RwgxDIM1GobhOM54PGZeCq4oyzL/WXh3MpkEZ7AIEo+t9NK0HaDX6xFCNE3ztauqyvskmOHzUkKIJEnsJAiyPsl4qeu6pml6npfI2ZZhWZaqqoVC4fj4uFAoyLLc7/fTuBC4Hwxx2+22ruu6rhuGYds2fxj0t0HAb13XTcM2ZAdJwEsppaqqdjodfnqWLJRSWZbr9fpoNGKNk8kEJoEL0XW9EEqIteB+siyrqtrr9WAQ2+12S6WSZVkRbU77mYXsDntrfp5Squv6bDYjhIxGI9M02+12AnYtuUR02Owx9gGdTqdWqzG3bLfbzWazXq/Lspze8whBFrBOgHg6ncIcjIdfTlyf8XgsCEL4VxiNRglecf6i2L8gCL52+LJsORQOazQavsNgQqtpWrJWITvLWiNewzAmk4mvka0rJkKr1QrvRQVBODo6SvCKjGBn65twKoqy8INwwMq+GkEiEn/Ea9v2YDAItne73WazGYx8xr5K+AGVSmVhu2VZoBZaRrFY5BdaeDRNWxYZ4lFVdTQaBaNE8OQqFosrz4AgkYjdCwcXKhgJSuTCjffp9SKaB4SMSGE4EDwAOk82xIW1FkVR+GOm0ymcn4mWEGRNCvNYe65RSo+Pj32NjUajXq8Xi0VBEFzXZWKddZBlOTioBgRBsCwrjb7U8zxZlmez2Xg8ZoMC13Whe+QboTvlWyzLqtfrjUYj8SgasrvEc27f5FMQBKZlhU6MF7uuwzJtgCRJjuMkcomFgK6oXC6zlnK5TAKxIsdxBEFgh8F/FUXBjhRJkJheyo8nBUHgHQbk5vz9vSa9Xo+PJCuKktQjYOV1BUGQJEnTNEmSBEFYqKF3HEeSJDhMEARN09BFkWSJOeIVRZGFXnu9Hj/sNE2z0+lALx3jzCGAfCLZc66Eha9UVQ0Zw8NhoihiaBdJnJgxXuai5XJ52czQtu1kV/834gARvwLqHJD0WFchGBIjwaQQBEmEtbxU07SQdVG2JoEgyDqs5aWlUinYyFb5sS9FkERYy0sXThTROREkWRL2UkrpMhECgiDxWMtLgysTvAgB1yQQJBH2CCH9fh9K5kXnzp07p6enn3/++f7+Pt/+1Vdfsdc//vgjFqdFkDU5PDwk8xdqIQRBcko8yRI4Nq/Um06nfLq2L1MkKRY+ULBKNRKPYDnlLIG7l1eGL3PSmPNSSIjhk0586dohFYnWIVhMSFGU6LWIEGQbiemlIIhjJfxs2wbtLiAIwrKksDXxpVwrirIyTRxBtp2YXiqKoqIok8nEdV3P83xSXtgBKQnz/PCLsYIg9Pt9URSXCYkR5HoQfyWGdaeVSoUf60qSlFICNKWUXUgQBNu2ZVm2LGthYRckP/T7fUVRUiqevAvE91KYeTabTV+JoPRmifzgFipow66EKV0OSQrHcR48eHDV1T6EEd9LVVUNlvlsNBrp5XAxycTJyUmlUnFdN0adXgTZOuJ7qW3bPjGgoijpFfuhlEJh+0ajYRgG9KV8qXsEua7sEUI8z7uqRP7Ro0e+oeaNGze++OKL9CKuX375JSHkk08+KZVKtm3X63X+XYz05pnHjx/Dv3n7M4Fhm33WR/pZ5i/qbiEIkk8K8/ncdd3oG4RdXFyYpvnLL7/wjdVqtVarpWDevzQajWfPnrXb7Zs3b0KLL7V1OBymd/VtAfbpSftvEYNut9vr9XJrWLvdXrZNQarAPcz/LAsTtgmMeGVZjl6K3jAMn4sSQv7555/0gkamacKmvSFGYtkhxptvvpm3XwOeobk1zLebe8ZE+VmuFj1qt9vdbpdvqdVqgiCkt2JJKbUsC5ZGU7oEguScK9QQtG272WzyLRDU9TxvMBiAvCFp84iu67Is93q98K21WSjr8PAQV1CRa0ZULw3KAEH9I4piqVQaDAaO46ThpYZhUEpXhqDZASkpE33ABuGY5o5kQ1QvNQyD1w8wFyWcVDCNxdJl5ywUCr7DMvMZGFN88MEHP/zwQzZXRHacSPPS4CaIvFfIssyU98kbuIigIjT7kmh///13xldEdpZIXuqb6dVqNV9iGnSnma1Zw1ZLPK1WK5h6iiDXg9VealkWL85YmPICSeEZyKkppZVKJbgF8GQy0XUdi4wi15LCfD43TTPk/h6NRnw3dXR0dHh4yB/w5MmTs7Mz/hhRFG/duvX6668fHBwkaOvDhw+fPn26v79/cHBwcHDw8ssvs7fOz8+fP39+eXkJia8JXjTIdDp98ODBjRs3Pvroo1QvdFXAsDt37ty9e3fTtvyHX3/99fT0NLeGBW/pbIDOhv9Zlu1Av0cIKRaLy7z0+fPnvPvdvn2b/z7n5+cPHz68vLz0fcrzPM/zTk9Pb9++fffuXd6d1uG99947Ozt7+vTpzZs3b926RQj566+/Li4uzs/P33777WSfCAiSI8ILKPl2Ex6Px+yt4ORwIb7dTdckD9XJQLBydHSU5UWjAIb59kHOA/BXy61hW1+djK8/VqvVmACIUurLSlnGbDZLcMaI1cmQHWSFl/KLK7xbBgUMwYxwxmw2q1QqicRgsToZsoOs8FLWB0qSxBZI+/0+y/8WBKHRaIzHY9d1oR7vfD53HMeX/TCZTHyD53hgdTJkB1nhpUxvxMv2WZoYKJDa7TaMhMGNbdtWVdWyrOFwyNfRtixrze4Uq5Mhu8kKL2Xj2GKxyBrZsNOny4PXrLvTdd22beaos9lszSpyWJ0M2U1WeCkLF/HeCKs6wdLYwYL3qqryEog1ZQ9YnQzZTaJ6KY+maWTRxofQ4gvwGIbBOuR1hL5YnQzZWfYIIZTSZdmbjx49ghfdbpdNR3///XdCiOM4C0eb9+7d87W/8cYbEG0KvhWdb7/9lhDy/vvvE0JM0+Q3vCABpXGqQEmrJ0+e5G2wDYbdv38/b4bdv3+f5MCwy8vLn3766ezsDMZfr7322p9//kn+e29nT6SfZY7VyRAk56xUSIAs1qfvgUFsuVz2HQxijl6vxzeyB5WmafFUGpqmKYoynU6XqTTinTYeqD26KpvVHjmOE7KYTwj5+uuvN2IYXD2ZnRFBzOALz4LcZzAY+AJIoPJdFiWKV7sIkgFgaTTGx5FdhlKq67qvvLuP7777LjN74rHaSyH8M5vN+NGzruug4+12u7yuCAJIvnVRtjazrJBhCFidDImN53lRVgFeeumlTMyJT6SKKpZllUoly7Kq1SoL7cL2h4ZhDAaDarUKAiDwJV8sF0JTkiTFEAlhdTIkNr6dr5eR//pVkbxU1/VGo9HpdCqVCqWUjTwrlQoo6ZkyCbyU1/H1+31YL4lXFSmf1cmQEDzP6/f7juPAw1pV1U2taUdR0QiCsAUK0+iTXQgjSZIUnokGh8Frx3FAe5R4cpnvWySYHLcSjB4tYzqdLkwtBLI3LMr9v8GfK2jAMiOvUDXbtm1N0yaTyfHxsWmay0S50JvZtm3bNswKEk8uy0N1MsQHpVRVVd86Nk/2PSovI19IrVZLb5fABLmCl4qiaNs2PCw7nY4sy6Zp2rbtc1cY9BqGUSqVZrNZrVZL3IWwOlneiBJK/e233zKzBwgfytZqta3JTI7RUzuOAyLBcBRFSTwL3nGcZRoMRVGyGffiiNfHdDpd2WttyrCFRbAkSfIt6W+E4M8S5qWoPUKQ3LK3t1eYz+chOt4YPH78uNfrffjhhx9//HFS58wV8AVfffXVzz77bCMGXF5efv/998sq62f/y5+cnPzxxx/hx7zyyiv1en1/fz8bk64Tx8fHyWvrNh5pTJvNjnhX6t0Mw8jYpCi32jW+HzLgCnuuIRsHgjThwdKff/45K3P+RRCEcJO2JZSaW64Q43VdF/RGhUJBVdU1Cy8gVyWi3g2S+7Lk+oRS80rUvtT3FB+NRtVqtdfrbYFuYz2CSpp33313I5ZE1Lu988476dvyH9rtNsvR54HNSq79HZIBUb20UqkEbxHTNIN/g2uzbul5XqvV8i3TL9sjIANyq3cTRRGSlobDIXuWlUqllRvRIxGJ5KW2bS9csJ5MJiAw4hsz2NMpA2DbqJBlekjzz5JwzQAAU5IMjAlSqVSw20yJ5KNH0JdCpbItJUqQ5vz8PCtz/gWDNDvLul4azPqBgVn+s4F8UErh+XJxcfHpp58+e/Ys/Pi33noLKo+qqppN91WpVLrd7rJ3MUhznYmyXDOdThd+NrgIBgrb2JVTNsU6xakEQcjGyJzr3ZD0iNSXiqJYLpf5EvJQjNc3voJwC/nvjjJbwTolSDMDgzQ7S2EeTTtCKYWppqZpzWZz4Z1hGEa329U0bRt3WGIj3ihlX6rVKtsIR5ZlrPaCpEv0bpdtx1Sr1fhyfvP5fDweg2TfV+lvG4mSlLhpG5HdImpfCrTb7WazSV6sy0HUxHVdGAwritLv97e9Y4ERwbJ3MUiDbICruvVwOAwml8L+iNveiwIYpEHyxtX6UobrupRSx3EODw9VVb1+AQwM0iD54f9731gSWO9+CQAAAABJRU5ErkJggg==\"/>"
+      ],
+      "text/plain": [
+       "Score(1 voices)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[0][1][0].root()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4285f73a-8352-4b6a-8eb9-48e46519601b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Note(60).root() is None\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "47ee3599-294e-4347-8e60-a0861d388c6a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}