parameterized_proposal_inverter.ipynb

{
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  {
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       "      delete root._bokeh_onload_callbacks\n",
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scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = 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else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import param as pm\n",
    "import panel as pn\n",
    "import secrets\n",
    "\n",
    "from bokeh.plotting import figure\n",
    "from eth_account import Account\n",
    "\n",
    "pn.extension()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f8d59438-9c2c-4b1d-93f5-1f1e5c94e3e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_eth_account():\n",
    "    priv = secrets.token_hex(32)\n",
    "    private = \"0x\" + priv\n",
    "    public = Account.from_key(private).address\n",
    "    return (private, public)\n",
    "\n",
    "class Wallet(pm.Parameterized):\n",
    "    funds = pm.Number(100)\n",
    "    def __init__(self, **params):\n",
    "        super(Wallet, self).__init__(**params)\n",
    "        (private, public) = generate_eth_account()\n",
    "        self.private = private\n",
    "        self.public = public\n",
    "\n",
    "class Broker(Wallet):\n",
    "    pass\n",
    "\n",
    "class Owner(Wallet):\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ccb2b4e8-3f31-4865-a02f-b52ec190a807",
   "metadata": {},
   "outputs": [],
   "source": [
    "b = Broker()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "944df74b-568b-4765-9875-fa70e348f01f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0x5B18670802B089482373C1C8439df00531e7e247'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.public"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "877646df-3443-4075-8883-8e8e7bda182f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.funds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f05fe359-4b3c-4804-8dbf-df5cfbaf6762",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3a63847b-7e4e-4c9c-8006-ba3d04c0b036",
   "metadata": {},
   "outputs": [],
   "source": [
    "a.add(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f3d94811-ec41-4815-ac51-4484c12d8eb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "a.remove(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ce92e92-1b8c-414b-9273-6669d95f1d67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set()"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "029e11bd-fc55-40c1-99af-d5b64dc688b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ProposalInverter(pm.Parameterized):\n",
    "    # State\n",
    "    total_funds = pm.Number(0)\n",
    "    \n",
    "    # Parameters\n",
    "    required_stake = pm.Number(5)\n",
    "    epoch_length = pm.Number(60*60*24)\n",
    "    min_epochs = pm.Number(28)\n",
    "    allocation_per_epoch = pm.Number(10)\n",
    "    min_horizon = pm.Number(7)\n",
    "    min_brokers = pm.Number(1)\n",
    "    max_brokers = pm.Number(5)\n",
    "    committed_brokers = set()\n",
    "    broker_claimable_funds = dict()\n",
    "    \n",
    "    def __init__(self, owner: Wallet, initial_funds: float, **params):\n",
    "        super(ProposalInverter, self).__init__(**params)\n",
    "        self.owner_address = owner.public\n",
    "        if owner.funds >= initial_funds:\n",
    "            owner.funds -= initial_funds\n",
    "            self.total_funds = initial_funds\n",
    "    \n",
    "    def add_broker(self, b: Broker):\n",
    "        self.committed_brokers.add(b)\n",
    "        \n",
    "    def remove_broker(self, b: Broker):\n",
    "        self.committed_brokers.remove(b)\n",
    "        \n",
    "    def number_of_brokers(self):\n",
    "        return len(self.committed_brokers)\n",
    "    \n",
    "    def get_broker_claimable_funds(self):\n",
    "        return self.allocation_per_epoch / self.number_of_brokers()\n",
    "    \n",
    "    def get_allocated_funds(self):\n",
    "        pass\n",
    "    \n",
    "    @pm.depends(\"total_funds\", \"allocation_per_epoch\", \"min_horizon\")\n",
    "    def view(self):\n",
    "        epoch = 0\n",
    "        x = list()\n",
    "        y = list()\n",
    "        \n",
    "        while self.total_funds - epoch * self.allocation_per_epoch >= self.min_horizon * self.allocation_per_epoch:\n",
    "            x.append(epoch)\n",
    "            y.append(self.total_funds - epoch * self.allocation_per_epoch)\n",
    "            \n",
    "            epoch += 1\n",
    "            \n",
    "        x.append(epoch)\n",
    "        y.append(0)\n",
    "        \n",
    "        fig = figure()\n",
    "        fig.line(x, y)\n",
    "        \n",
    "        return fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6f28fb94-3a73-4ebc-bb33-9959991a841b",
   "metadata": {},
   "outputs": [],
   "source": [
    "patrick = Wallet(funds=2009)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "db54dba9-2631-452e-9921-5f292ef6965b",
   "metadata": {},
   "outputs": [
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       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
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       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
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      ],
      "text/plain": [
       "Row\n",
       "    [0] Column(margin=5, name='ProposalInverter', width=300)\n",
       "        [0] StaticText(value='<b>ProposalInverter</b>')\n",
       "        [1] FloatInput(name='Total funds', value=500)\n",
       "        [2] FloatInput(name='Required stake', value=5)\n",
       "        [3] FloatInput(name='Epoch length', value=86400)\n",
       "        [4] FloatInput(name='Min epochs', value=28)\n",
       "        [5] FloatInput(name='Allocation per epoch', value=10)\n",
       "        [6] FloatInput(name='Min horizon', value=7)\n",
       "        [7] FloatInput(name='Min brokers', value=1)\n",
       "        [8] FloatInput(name='Max brokers', value=5)\n",
       "    [1] ParamMethod(method)"
      ]
     },
     "execution_count": 26,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1065"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = ProposalInverter(owner=patrick, initial_funds=500)\n",
    "pn.Row(p, p.view)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6fe96659-1df5-431f-af85-cbe06bfe6394",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "500"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.total_funds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4602366c-be31-406c-9c1c-6e6cc5dc68eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "b1 = Broker()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ce3aad02-926b-437f-ba6a-dfcbccabf3da",
   "metadata": {},
   "outputs": [],
   "source": [
    "p.add_broker(b1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e949114b-5425-4abe-aaa4-60d40bffd819",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Broker(funds=100, name='Broker00128')}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.committed_brokers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b50c70f6-1d34-4702-ae33-ebb38383de4b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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