149 lines
4.3 KiB
Plaintext
149 lines
4.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"## Dispersion"
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],
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"metadata": {
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"collapsed": false
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from src.user_keypad import UserKeypad\n",
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"from src.utils import random_property_rotation\n",
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"from IPython.display import Markdown, display\n",
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"from src.models import KeypadSize\n",
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"import numpy as np\n",
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"\n",
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"def keypad_md_table(keypad_list: np.ndarray, keypad_size: KeypadSize) -> str:\n",
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" assert (keypad_size.numb_of_props == len(keypad_list))\n",
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" keypad = keypad_list.reshape(-1, keypad_size.props_per_key)\n",
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" table = \"|key|\" + \"\".join([f\"set{idx}|\" for idx in range(keypad_size.props_per_key)])\n",
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" table += \"\\n|\" + \"\".join(\"-|\" for _ in range(keypad_size.props_per_key + 1))\n",
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"\n",
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" for key in range(keypad_size.numb_of_keys):\n",
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" table += f\"\\n|key{key+1}|\"\n",
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" table += \"|\".join([str(prop) for prop in keypad[key]])\n",
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" table += \"|\"\n",
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" return table\n",
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"\n",
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"\n",
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"keypad_size = KeypadSize(numb_of_keys=5, props_per_key=4)\n",
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"props = [1, 10, 11, 100]\n",
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"keypad = []\n",
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"for key_numb in range(1,keypad_size.numb_of_keys+1):\n",
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" keypad.extend([key_numb * prop for prop in props])\n",
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"\n",
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"demo_interface = UserKeypad(keypad_size=keypad_size, keypad=np.array(keypad))\n",
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"\n",
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"display(Markdown(keypad_md_table(demo_interface.keypad, keypad_size)))\n"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2025-03-14T11:14:49.006056Z",
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"start_time": "2025-03-14T11:14:48.964902Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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],
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"text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|1|10|11|100|\n|key2|2|20|22|200|\n|key3|3|30|33|300|\n|key4|4|40|44|400|\n|key5|5|50|55|500|"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"execution_count": 1
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},
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{
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"cell_type": "code",
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"source": [
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"demo_interface_matrix = demo_interface.keypad.reshape(-1, demo_interface.keypad_size.props_per_key)\n",
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"shuffled_keys = np.random.permutation(demo_interface_matrix)\n",
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"shuffled_keys_list = shuffled_keys.reshape(-1)\n",
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"display(Markdown(keypad_md_table(shuffled_keys_list, keypad_size)))"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2025-03-14T11:15:32.023001Z",
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"start_time": "2025-03-14T11:15:32.009838Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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],
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"text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|4|40|44|400|\n|key2|3|30|33|300|\n|key3|2|20|22|200|\n|key4|1|10|11|100|\n|key5|5|50|55|500|"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"execution_count": 3
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},
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{
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"cell_type": "code",
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"source": [
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"prop_rotation = np.random.choice(range(keypad_size.numb_of_keys), size=keypad_size.props_per_key, replace=False)\n",
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"dispersed_interface = random_property_rotation(\n",
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" shuffled_keys,\n",
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" prop_rotation\n",
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")\n",
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"\n",
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"display(Markdown(keypad_md_table(dispersed_interface.reshape(-1), keypad_size)))\n"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2025-03-14T11:17:30.317806Z",
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"start_time": "2025-03-14T11:17:30.313082Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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],
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"text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|2|50|33|100|\n|key2|1|40|22|500|\n|key3|5|30|11|400|\n|key4|4|20|55|300|\n|key5|3|10|44|200|"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"execution_count": 5
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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