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@waterflier
waterflier committed Aug 7, 2024
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114 changes: 37 additions & 77 deletions doc/economic_sim/dmcx_economic_sim.ipynb
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},
{
"cell_type": "code",
"execution_count": 197,
"execution_count": 233,
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "code",
"execution_count": 198,
"execution_count": 234,
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "code",
"execution_count": 199,
"execution_count": 235,
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "code",
"execution_count": 200,
"execution_count": 236,
"metadata": {},
"outputs": [
{
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"\n",
"### Supplier(矿工) SHOW一个公共数据需要准备的GWT质押币\n",
"\n",
"Supplier（矿工）是真正保存公共数据的人，他们把公共数据保存到本地，并在合适的时机SHOW存储证明以得到奖励。DMCX的存储证明基于ERC7585构造，要出示一个存储证明，就必须基一个“基准块高度”开始计算，在有效块高度前完成计算并提交到链上就是一次有效的存储证明。ERC7585的机制里，链上的合约并不能100%验证存储证明的正确性，而是基于博弈模型：如果有人发现了一个更好的存储证明，那就说明之前上链的是Fake的存储证明（挑战成功）。挑战成功的矿工会拿走提交Fake证明用户的质押币。\n",
"Supplier（矿工）是真正保存公共数据的人，他们把公共数据保存到本地，并在合适的时机SHOW存储证明以得到奖励。DMCX的存储证明基于ERC7585构造，要出示一个存储证明，就必须基一个“基准块高度”开始计算，在有效块高度前(目前是3个区块，在XLayer上大概是10秒，包含上链时间)完成计算并提交到链上就是一次有效的存储证明。ERC7585的机制里，链上的合约并不能100%验证存储证明的正确性，而是基于博弈模型：如果有人发现了一个更好的存储证明，那就说明之前上链的是Fake的存储证明（挑战成功）。挑战成功的矿工会拿走提交Fake证明用户的质押币。\n",
"\n",
"基于上述流程，矿工在开始公共数据挖矿之前必须需要准备一定的质押币。质押币的需求和其潜在收益有关，公式如下：\n",
"\n",
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},
{
"cell_type": "code",
"execution_count": 201,
"execution_count": 237,
"metadata": {},
"outputs": [
{
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"\n",
"算力奖励系数是一个和两次SHOW时间有关的函数，其设计逻辑在于通过首次SHOW和当前SHOW所在周期的平均总算力和平均算力增长率，通过一个公式得到一个算力奖励系数。算力奖励系数的计算公式的基本原则是与平均总算力成反比，与平均算力增长率成正比，公式如下：\n",
"\n",
"```\n",
"```python\n",
"def getGWTDifficultRatio(total_size,growth_rate):\n",
" m = 1024*1024 - 1024*8*growth_rate\n",
" result = (0.243*m) / (total_size+0.867*m) + 0.02\n",
"\n",
" return result\n",
"```\n",
"\n",
"\n",
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},
{
"cell_type": "code",
"execution_count": 203,
"execution_count": 239,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"public data hash0 min stake amount:3.84 GWT,immediate stake amount:213.84 GWT\n",
"public data hash3 min stake amount:1996.8000000000002 GWT,immediate stake amount:5105.770554358223 GWT\n",
"show data hash0 get blance reward: 37.44619289660616\n",
"show data hash3 get blance reward: 1554.4852771791113\n",
"show data hash0 get blance reward:33.701573606945544,power:402.2857142857143,power reward:-3842.73694489528\n",
"show data hash3 get blance reward:1399.0367494612,power:5895.314285714287,power reward:-73728.0706516202\n"
"public data hash3 min stake amount:1996.8000000000002 GWT,immediate stake amount:4821.72922698268 GWT\n",
"show data hash0 get blance reward: 38.087807115830266\n",
"show data hash3 get blance reward: 1412.46461349134\n",
"total_size:1225014.5142455557,growth_rate:5.036804229031415,difficult ratio:0.13665198936584874\n",
"show data hash0 get blance reward:34.27902640424724,power:402.2857142857143,power reward:43.97851452048344\n",
"total_size:1220534.497522133,growth_rate:5.0025,difficult ratio:0.13692058391200523\n",
"show data hash3 get blance reward:1271.2181521422062,power:5895.314285714287,power reward:645.751899475829\n",
"total_size:1551717.2603819617,growth_rate:0.042835620204552824,difficult ratio:0.12352194901444982\n",
"show data hash3 get blance reward:1156.2041850431574,power:5705.142857142857,power reward:563.7682920961221\n"
]
}
],
"source": [
"from datetime import datetime\n",
"import random\n",
"\n",
"global compute_power_cycles\n",
"compute_power_cycles = []\n",
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"\n",
"# from 0.02 to 0.3\n",
"def getGWTDifficultRatio(total_size,growth_rate):\n",
" return 0.15\n",
" m = 1024*1024 - 1024*8*growth_rate\n",
" result = (0.243*m) / (total_size+0.867*m) + 0.02\n",
" print(f\"total_size:{total_size},growth_rate:{growth_rate},difficult ratio:{result}\")\n",
" return result\n",
"\n",
"# duration 单位是周\n",
"def cacl_compute_power(datasize,pledgement,duration,price=16):\n",
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" last_power = compute_power_cycles[-1][\"total_power\"]\n",
" if total_power > last_power*1.005:\n",
" cycle_data[\"d_power\"] = (total_power - last_power) / last_power\n",
" if cycle_data[\"d_power\"] > 10:\n",
" cycle_data[\"d_power\"] = 10\n",
" else:\n",
" cycle_data[\"d_power\"] = 0.005\n",
"\n",
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"\n",
"add_compute_power_cycle(1)\n",
"add_compute_power_cycle(1)\n",
"add_compute_power_cycle(16*10)\n",
"add_compute_power_cycle(16*20)\n",
"add_compute_power_cycle(16*50)\n",
"add_compute_power_cycle(16*40)\n",
"add_compute_power_cycle(16*70)\n",
"add_compute_power_cycle(16*90)\n",
"add_compute_power_cycle(16*100)\n",
"add_compute_power_cycle(16*120)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"add_compute_power_cycle(16*200)\n",
"totals = 1024*1024\n",
"for i in range(100):\n",
" totals = totals + totals * random.uniform(-0.1,0.2)\n",
" add_compute_power_cycle(totals)\n",
"\n",
"show_min_stack(\"hash0\")\n",
"show_min_stack(\"hash3\")\n",
"showdata(\"hash0\",\"2024-08-01 00:00:00\")\n",
"showdata(\"hash3\",\"2024-08-01 00:00:00\")\n",
"showdata(\"hash0\",\"2024-08-12 00:00:00\")\n",
"showdata(\"hash3\",\"2024-09-01 00:00:00\")"
"showdata(\"hash3\",\"2024-09-01 00:00:00\")\n",
"showdata(\"hash3\",\"2024-10-01 00:00:00\")"
]
},
{
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},
{
"cell_type": "code",
"execution_count": 152,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"reward rank 0 ,reward percent:0.15\n",
"reward rank 1 ,reward percent:0.1125\n",
"reward rank 2 ,reward percent:0.09375\n",
"reward rank 3 ,reward percent:0.075\n",
"reward rank 4 ,reward percent:0.0625\n",
"reward rank 5 ,reward percent:0.05\n",
"reward rank 6 ,reward percent:0.0375\n",
"reward rank 7 ,reward percent:0.033125\n",
"reward rank 8 ,reward percent:0.02625\n",
"reward rank 9 ,reward percent:0.0225\n",
"reward rank 10 ,reward percent:0.021875\n",
"reward rank 11 ,reward percent:0.02125\n",
"reward rank 12 ,reward percent:0.020625\n",
"reward rank 13 ,reward percent:0.02\n",
"reward rank 14 ,reward percent:0.019375\n",
"reward rank 15 ,reward percent:0.01875\n",
"reward rank 16 ,reward percent:0.018125\n",
"reward rank 17 ,reward percent:0.0175\n",
"reward rank 18 ,reward percent:0.016875\n",
"reward rank 19 ,reward percent:0.01625\n",
"reward rank 20 ,reward percent:0.015625\n",
"reward rank 21 ,reward percent:0.015\n",
"reward rank 22 ,reward percent:0.014375\n",
"reward rank 23 ,reward percent:0.01375\n",
"reward rank 24 ,reward percent:0.013125\n",
"reward rank 25 ,reward percent:0.0125\n",
"reward rank 26 ,reward percent:0.011875\n",
"reward rank 27 ,reward percent:0.01125\n",
"reward rank 28 ,reward percent:0.010625\n",
"reward rank 29 ,reward percent:0.01\n",
"reward rank 30 ,reward percent:0.009375\n",
"reward rank 31 ,reward percent:0.00875\n",
"=============================================\n",
"rank 12 ,pool reword:140020\n",
"\t total reward:2310.33,sponsor reward:1155.165,owner reward:462.06600000000003,supplier reward:138.6198\n"
]
}
],
"outputs": [],
"source": [
"def get_winner_reward_percent(reword_rank):\n",
" rewardScores = [\n",
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