add example of notebook

example/example.ipynb

@@ -0,0 +1,93 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "tags": [
+     "parameters"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "output_path='output.jsonl'\n",
+    "lambda_pycode = \"\"\"lambda a:a['weight'] < 300\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 5 50\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import asyncio\n",
+    "import random\n",
+    "from datetime import datetime\n",
+    "amount = 100\n",
+    "\n",
+    "displayTable = [\n",
+    "    ['bid order', 'bid rate', 'bid qty', 'ask order', 'ask rate', 'ask qty'],\n",
+    "    ['424', '0.61500000', '101', '', '', ''],\n",
+    "    ['424', '0.61500000', '101', '', '', ''],\n",
+    "]\n",
+    "\n",
+    "drift = 5\n",
+    "drift_range = [5, 10]\n",
+    "group = 50\n",
+    "group_range = [50, 100]\n",
+    "timestamp = 1725539650\n",
+    "amount = 200\n",
+    "pos = 0\n",
+    "conver = 1000000000\n",
+    "\n",
+    "testArr = []\n",
+    "\n",
+    "print(pos, drift, group)\n",
+    "while pos < amount:\n",
+    "    timestamp_in_nano = timestamp*1000000000\n",
+    "    weight = random.randrange(1, 1000)\n",
+    "    timest_obj = datetime.fromtimestamp(timestamp)\n",
+    "    testArr.append({ '#display-timestamp': timestamp_in_nano, '#display-name': str(pos) + ' ' + str(timest_obj), '#display-table': displayTable, 'weight': weight})\n",
+    "    pos = pos + 1\n",
+    "    timestamp += random.randrange(1, 100)\n",
+    "\n",
+    "filtered = list(filter(eval(lambda_pycode), testArr))\n",
+    "\n",
+    "with open(output_path, \"w\") as out_file:\n",
+    "    for orig_order in filtered:\n",
+    "        json.dump(orig_order, out_file)\n",
+    "        out_file.write('\\n')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}