{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0e9fb403-d47b-4893-b280-492f63734a29",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import numpy.random as R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "60fc3ad6-eba5-4e61-a537-fe30a7ebe1d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "gen=R.default_rng()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0a022ee1-cc50-40b7-85f2-a25faf379458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.34180662, 0.359926  , 0.1765473 , 0.83375963, 0.20556183,\n",
       "       0.37238637, 0.92595069, 0.36238685, 0.53750888, 0.20192737])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gen.uniform(size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82811702-5b95-4344-bf56-2a0457ee53a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def decaduti(p, n):\n",
    "    return gen.uniform(size=n)<p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b8575c6c-17df-45de-8f13-6d3f1db90823",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True, False, False, False, False, False, False, False, False,\n",
       "       False, False, False, False, False, False,  True, False,  True,\n",
       "       False, False,  True, False, False, False, False,  True, False,\n",
       "        True, False, False])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decaduti(0.1, 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1de068b9-1d57-4972-9136-1d26b48f7621",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
