{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import re\n",
    "with open('test-A/in.tsv', 'r') as f_in:\n",
    "    with open('test-A/out.tsv', 'w') as f_out:\n",
    "        for line in f_in:\n",
    "            v = random.choice(re.split(\" |\\n|\\t\", line)[50:])\n",
    "            f_out.write(f'{v}:0.9 :0.1\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.12 ('base')",
   "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": "3.9.12"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "775a359a5b6f42820cb11dff2e8c0375cba15e7c633731e5cd1af5f5882e2e16"
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 },
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}