{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/music/.conda/envs/music_demo/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(256, 320) (514, 1880, 3)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from app import * \n",
    "\n",
    "test_chd_roll = np.concatenate([np.tile(CHORD_DICTIONARY[\"C:major\"], (16, 1)), \n",
    "                                np.tile(CHORD_DICTIONARY[\"C:major\"], (16, 1)), \n",
    "                                np.tile(CHORD_DICTIONARY[\"C:major\"], (16, 1)), \n",
    "                                np.tile(CHORD_DICTIONARY[\"C:major\"], (16, 1))])\n",
    "\n",
    "rhythms = [m1_rhythm, m2_rhythm, m3_rhythm, m4_rhythm]\n",
    "\n",
    "chd_roll = np.concatenate([test_chd_roll[np.newaxis,:,:], test_chd_roll[np.newaxis,:,:]], axis=0)\n",
    "\n",
    "chd_roll = circular_extend(chd_roll)\n",
    "chd_roll = -chd_roll-1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "example3 = np.load(\"samples/diy_examples/example3.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "example3[:2,:,:] = example3[2:4,:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"samples/diy_examples/example3.npy\", example3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_chd_roll.min(axis=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "example0 = np.load(\"samples/diy_examples/example3.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "example0[2,:,:] = np.min(example0[2:4,:,:], axis=0)\n",
    "example0[3,:,:] = np.min(example0[2:4,:,:], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2.,\n",
       "       -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2.,\n",
       "       -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2.,\n",
       "       -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2.,\n",
       "       -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2., -2.])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example0[2,:,:].min(axis=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"samples/diy_examples/example3.npy\", example0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "music_demo",
   "language": "python",
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  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.19"
  }
 },
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}