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ABC_preparation.py
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59 lines (59 loc) · 1.36 KB
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "ABC_preparation.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyPNBpkWwT0mIBnlu1EOgNfS",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/taqro/code-write-everyday/blob/master/ABC_preparation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1Ug0XOLx2vfP",
"outputId": "1588bbfa-a264-4d80-dce2-e658853bf42b"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"100 100 1 100\n",
"1\n"
]
}
],
"source": [
"a = list(map(int, input().split()))\n",
"\n",
"a.sort()\n",
"\n",
"print(a[0])"
]
}
]
}