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pynkode/notebooks/dispersion_tutorial.ipynb

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{
"cells": [
{
"cell_type": "code",
"source": [
"from src.user_keypad import UserKeypad\n",
"from IPython.display import Markdown, display\n",
"from src.models import KeypadSize\n",
"from src.utils import random_property_rotation, keypad_md_table\n",
"import numpy as np"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2025-03-21T09:28:57.936307Z",
"start_time": "2025-03-21T09:28:57.933359Z"
}
},
"outputs": [],
"execution_count": 5
},
{
"metadata": {},
"cell_type": "markdown",
"source": [
"## Keypad Dispersion\n",
"\n",
"Keypad dispersion refers to an operation that redistributes the properties assigned to each key on a keypad, ensuring that no property shares a key with a property that was previously adjacent to it.\n",
"Keypads are only dispersable if `numb_of_keys <= properites_per_key`. It's used during nKode enrollment to infer property selection.\n",
"\n",
"A keypad dispersion is completed in two steps:\n",
"1. Create a property rotation array; a randomly permuted subset of indices, selected without replacement from a range equal to the number of keys on a keypad, with its length truncated to match the number of properties assigned per key.\n",
"2. Rotate each position, similar to a ring or combination lock, by a distance equal to its corresponding value in the property rotation array."
]
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-03-21T09:28:57.950591Z",
"start_time": "2025-03-21T09:28:57.945584Z"
}
},
"cell_type": "code",
"source": [
"keypad_size = KeypadSize(numb_of_keys=5, props_per_key=4)\n",
"props = [1, 10, 11, 100]\n",
"keypad_list = []\n",
"for key_numb in range(1,keypad_size.numb_of_keys+1):\n",
" keypad_list.extend([key_numb * prop for prop in props])\n",
"\n",
"user_keypad = UserKeypad(keypad_size=keypad_size, keypad=np.array(keypad_list))\n",
"display(Markdown(f\"\"\"\n",
"## Example Keypad\n",
"{keypad_size.numb_of_keys} X {keypad_size.props_per_key} keypad ({keypad_size.numb_of_keys} keys, {keypad_size.props_per_key} properties per key).\n",
"\"\"\"))\n",
"display(Markdown(keypad_md_table(user_keypad.keypad, keypad_size)))\n"
],
"outputs": [
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "\n## Example Keypad\n5 X 4 keypad (5 keys, 4 properties per key).\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "||position 0|position 1|position 2|position 3|\n|-|-|-|-|-|\n|key 0|1|10|11|100|\n|key 1|2|20|22|200|\n|key 2|3|30|33|300|\n|key 3|4|40|44|400|\n|key 4|5|50|55|500|"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 6
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Create Property Rotation Array"
},
{
"cell_type": "code",
"source": [
"prop_rotation = np.random.choice(keypad_size.numb_of_keys, size=keypad_size.props_per_key, replace=False)\n",
"print(f\"Property Rotation: {prop_rotation}\")\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2025-03-21T09:28:57.961890Z",
"start_time": "2025-03-21T09:28:57.959507Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Property Rotation: [0 3 1 2]\n"
]
}
],
"execution_count": 7
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Apply the Rotation"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-03-21T09:28:57.976227Z",
"start_time": "2025-03-21T09:28:57.973183Z"
}
},
"cell_type": "code",
"source": [
"dispersed_interface = random_property_rotation(\n",
" user_keypad.keypad_matrix(),\n",
" prop_rotation\n",
")\n",
"display(Markdown(keypad_md_table(dispersed_interface.reshape(-1), keypad_size)))"
],
"outputs": [
{
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "||position 0|position 1|position 2|position 3|\n|-|-|-|-|-|\n|key 0|1|30|55|400|\n|key 1|2|40|11|500|\n|key 2|3|50|22|100|\n|key 3|4|10|33|200|\n|key 4|5|20|44|300|"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 8
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}