{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipywidgets as widgets\n",
    "from ipyvuetify.extra import FileInput\n",
    "import hashlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_input = FileInput()\n",
    "file_input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# first select some files in the FileInput above\n",
    "\n",
    "myfiles = file_input.get_files()\n",
    "myfiles[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_input.disabled = True\n",
    "\n",
    "def md5_sum_file(file):\n",
    "    file['file_obj'].seek(0)\n",
    "    data = file['file_obj'].read()\n",
    "    md5_sum = hashlib.md5(data).hexdigest()\n",
    "    return f'{file[\"name\"]}, md5: {md5_sum}'\n",
    "\n",
    "sums = [md5_sum_file(file) for file in myfiles]\n",
    "file_input.disabled = False\n",
    "\n",
    "sums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_input.clear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}