Prathamesh Musale
652c69cbee
- Refactor lockdrop calculations and other helper code from the simulation notebook to a python module - Add a notebook for experimenting with lockdrop calculations - Add widget buttons to run calculations and export results - Add a script a to setup and run the notebook Reviewed-on: #2 Co-authored-by: Prathamesh Musale <prathamesh.musale0@gmail.com> Co-committed-by: Prathamesh Musale <prathamesh.musale0@gmail.com>
91 lines
2.2 KiB
Plaintext
91 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "experimental-header",
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"metadata": {},
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"source": [
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"# Z Token Lockdrop Distribution\n",
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"\n",
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"This notebook allows you to experiment with different participation distributions to see how they affect token allocations, bonus pools, and the penalty system.\n",
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"\n",
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"**Features:**\n",
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"- Adjust star and galaxy participation numbers by lock duration\n",
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"- Real-time calculation of allocations and bonus pools\n",
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"- Preset scenarios available in dropdown (balanced, five-year focused, short-term focused, low participation)\n",
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"- Visualization of results"
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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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"id": "setup-imports",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Import shared calculation module\n",
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"from lockdrop import (\n",
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" configure_matplotlib, print_constants_summary,\n",
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" create_experimental_interface\n",
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")\n",
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"\n",
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"# Configure matplotlib\n",
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"configure_matplotlib()"
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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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"id": "show-constants",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Display core constants\n",
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"print_constants_summary()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "input-section-header",
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"metadata": {},
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"source": [
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"## 🎛️ Experimental Parameters\n",
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"\n",
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"Adjust the participation numbers below to experiment with different scenarios. Use the preset dropdown to quickly load common scenarios, or manually adjust the values for custom experiments."
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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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"id": "input-parameters",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create complete experimental interface\n",
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"create_experimental_interface()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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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": 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": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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