update readme
This commit is contained in:
63
README.md
63
README.md
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# README
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Play around with the code in /notebooks
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# Readme
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pynkode is a tutorial of how nkode works.
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There are jupyter notebooks in /notebooks covering these topics:
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- dispersion
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- nkode enrollment, login, and renewal
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- split shuffle
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## Installation
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- Python version 3.10 or greater is required
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- Install pyenv or conda for environment management
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### Option 1: Using conda
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```bash
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# Create a new conda environment named pynkode
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conda create -n pynkode python=3.10
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# Activate the environment
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conda activate pynkode
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# Install the requirements
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pip install -r requirements.txt
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```
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### Option 2: Using pyenv
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```bash
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# Install Python 3.10 using pyenv
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pyenv install 3.10.0
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# Create a virtualenv named pynkode
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pyenv virtualenv 3.10.0 pynkode
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# Set the local version to pynkode
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pyenv local pynkode
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# Install the requirements
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pip install -r requirements.txt
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```
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## Starting a Jupyter Notebook
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### Option 1: Using classic Jupyter Notebook
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```bash
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# Ensure your environment is activated
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# For conda: conda activate pynkode
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# For pyenv: (should be automatic if in the directory)
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# Start the Jupyter Notebook server
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jupyter notebook
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```
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### Option 2: Using JupyterLab
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```bash
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# Ensure your environment is activated
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# Start JupyterLab
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jupyter lab
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```
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## Exploring the Tutorials
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1. Navigate to the `/notebooks` directory in the Jupyter interface
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2. Open the tutorials in the following recommended order:
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- `Enrollment_Login_Renewal.ipynb` - Learn how to manage user accounts in nkode
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- `Dispersion.ipynb` - Understand the basic concepts of dispersion in nkode
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- `Split_Shuffle.ipynb` - Explore the split shuffle functionality
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@@ -2,26 +2,32 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-21T10:41:27.004729Z",
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"start_time": "2025-03-21T10:41:26.963236Z"
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},
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.append(os.path.abspath('..')) # Adds the parent directory to path\n",
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"from src.user_keypad import UserKeypad\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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"from src.utils import random_property_rotation, keypad_md_table\n",
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"import numpy as np"
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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": "2025-03-21T09:28:57.936307Z",
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"start_time": "2025-03-21T09:28:57.933359Z"
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}
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},
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"outputs": [],
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"execution_count": 5
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]
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Keypad Dispersion\n",
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"\n",
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@@ -34,13 +40,48 @@
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-21T09:28:57.950591Z",
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"start_time": "2025-03-21T09:28:57.945584Z"
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"end_time": "2025-03-21T10:41:27.020289Z",
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"start_time": "2025-03-21T10:41:27.014493Z"
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}
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},
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"cell_type": "code",
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"\n",
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"## Example Keypad\n",
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"5 X 4 keypad (5 keys, 4 properties per key).\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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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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"data": {
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"text/markdown": [
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"||position 0|position 1|position 2|position 3|\n",
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"|-|-|-|-|-|\n",
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"|key 0|1|10|11|100|\n",
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"|key 1|2|20|22|200|\n",
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"|key 2|3|30|33|300|\n",
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"|key 3|4|40|44|400|\n",
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"|key 4|5|50|55|500|"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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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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"source": [
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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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@@ -54,47 +95,26 @@
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"{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",
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"\"\"\"))\n",
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"display(Markdown(keypad_md_table(user_keypad.keypad, keypad_size)))\n"
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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": "\n## Example Keypad\n5 X 4 keypad (5 keys, 4 properties per key).\n"
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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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{
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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": "||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|"
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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": 6
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### Create Property Rotation Array"
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"metadata": {},
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"source": [
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"### Create Property Rotation Array"
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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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"prop_rotation = np.random.choice(keypad_size.numb_of_keys, size=keypad_size.props_per_key, replace=False)\n",
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"print(f\"Property Rotation: {prop_rotation}\")\n"
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],
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"execution_count": 4,
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"end_time": "2025-03-21T09:28:57.961890Z",
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"start_time": "2025-03-21T09:28:57.959507Z"
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"end_time": "2025-03-21T10:41:27.065332Z",
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"start_time": "2025-03-21T10:41:27.056656Z"
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},
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [
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@@ -102,66 +122,103 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Property Rotation: [0 3 1 2]\n"
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"Property Rotation: [4 2 0 1]\n"
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]
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}
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],
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"execution_count": 7
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"source": [
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"prop_rotation = np.random.choice(keypad_size.numb_of_keys, size=keypad_size.props_per_key, replace=False)\n",
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"print(f\"Property Rotation: {prop_rotation}\")\n"
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]
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### Apply the Rotation"
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"metadata": {},
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"source": [
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"### Apply the Rotation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-21T09:28:57.976227Z",
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"start_time": "2025-03-21T09:28:57.973183Z"
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"end_time": "2025-03-21T10:41:27.074908Z",
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"start_time": "2025-03-21T10:41:27.072449Z"
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}
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},
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"cell_type": "code",
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"||position 0|position 1|position 2|position 3|\n",
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"|-|-|-|-|-|\n",
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"|key 0|2|40|11|500|\n",
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"|key 1|3|50|22|100|\n",
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"|key 2|4|10|33|200|\n",
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"|key 3|5|20|44|300|\n",
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"|key 4|1|30|55|400|"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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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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"source": [
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"dispersed_interface = random_property_rotation(\n",
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" user_keypad.keypad_matrix(),\n",
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" prop_rotation\n",
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")\n",
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"display(Markdown(keypad_md_table(dispersed_interface.reshape(-1), keypad_size)))"
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],
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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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": "||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|"
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},
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"metadata": {},
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"output_type": "display_data"
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"hello\n"
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]
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}
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],
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"execution_count": 8
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"source": [
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"print(\"hello\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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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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"display_name": "Python 3 (ipykernel)",
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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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"version": 3
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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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"pygments_lexer": "ipython3",
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"version": "3.10.14"
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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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"nbformat_minor": 4
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}
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@@ -3,6 +3,9 @@
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{
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"cell_type": "code",
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.append(os.path.abspath('..')) # Adds the parent directory to path\n",
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"from src.nkode_api import NKodeAPI\n",
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"from src.models import NKodePolicy, KeypadSize\n",
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"from secrets import choice\n",
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@@ -9,6 +9,9 @@
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},
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"cell_type": "code",
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.append(os.path.abspath('..')) # Adds the parent directory to path\n",
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"from src.models import KeypadSize\n",
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"from src.user_keypad import UserKeypad\n",
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"from src.utils import keypad_md_table\n",
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@@ -1,5 +1,4 @@
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bcrypt~=4.1.3
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numpy~=2.0.0
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jinja2~=3.1.4
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pytest~=8.2.2
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ipython~=8.25.0
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