modelo 3 processos.ipynb

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    "#modelo 3 processos\n",
    "import random\n",
    "\n",
    "def distributions(tipo):\n",
    "    return {\n",
    "        'arrival': random.expovariate(1/10.0),\n",
    "        'singing': random.triangular(10, 20, 30),\n",
    "        'applause': random.gauss(10, 1),\n",
    "    }.get(tipo, 0.0)"
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     "text": [
      "arrival 3.8081541913330956\n",
      "singing 23.594760147646802\n",
      "applause 10.791259641374019\n"
     ]
    }
   ],
   "source": [
    "tipo = 'arrival'\n",
    "print(tipo, distributions(tipo))\n",
    "\n",
    "tipo = 'singing'\n",
    "print(tipo, distributions(tipo))\n",
    "\n",
    "tipo = 'applause'\n",
    "print(tipo, distributions(tipo))"
   ]
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