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{
"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": {
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},
"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": [
{
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" -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",
"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": "3.9.19"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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