gghatano gghatano

	FROM python:3.8

	RUN apt-get update \
	&& apt-get -y install --no-install-recommends apt-utils dialog 2>&1 \
	&& apt-get -y install git iproute2 procps lsb-release gdb\
	&& apt-get install -y sudo wget curl vim

	RUN cd /tmp \
	&& git clone https://github.com/atcoder/ac-library.git

	#include <iostream>
	#include <vector>
	#include <queue>
	#include <cstring>
	using namespace std;

	typedef int FLOW; // フローを表す型、今回は int 型
	const int MAX_V = 100; // グラフの最大ノード数
	const FLOW INF = 100000000; // 十分大きい値

	column,key,value,task_name,time,id
	,削除された列の割合,0.1111111111111111,example,2020-01-08 05:07:54.770,example_20200108050754770
	,削除された列の割合,0.1111111111111111,example,2020-01-08 06:05:46.747,example_20200108060546747
	,削除された列の割合,0.1111111111111111,example,2020-01-09 10:28:11.843,example_20200109102811843
	patient_id,特定失敗率,100,reid_test_config_making,2020-01-08 06:30:36.772,reid_test_config_making_20200108063036772
	"gender,date_of_birth,medical_institution_number",kの最小値,10,reid_test_config_making,2020-01-08 06:30:36.772,reid_test_config_making_20200108063036772
	"gender,date_of_birth,medical_institution_number",kの平均値,91,reid_test_config_making,2020-01-08 06:30:36.772,reid_test_config_making_20200108063036772
	"gender,date_of_birth,medical_institution_number",kの最大値,99,reid_test_config_making,2020-01-08 06:30:36.772,reid_test_config_making_20200108063036772
	"gender,date_of_birth,medical_institution_number",kの目標値,3,reid_test_config_making,2020-01-08 06:30:36.772,reid_test_config_making_20200108063036772
	height,最小のbinに含まれる人

	dir=$(dirname $0)
	if [ -e "$dir/converted_images" ] ; then
	echo "output directory exists"
	else
	mkdir $dir/converted_images
	fi

	ls *.png \| grep "_C" \|
	# head -n 2 \|
	while read line

	#include<iostream>
	#include<string>
	#include<chrono>

	class ProcessingTime{
	public:
	ProcessingTime(const std::string& name = "Process", bool start = true) :
	m_name(name),
	m_isActive(start)
	{

	#!/usr/bin/env python3
	"""
	Created by Takao Murakami Jun 18, 2019 (last updated: Aug 22, 2019).

	Description:
	Evaluate security (ID-disclosure).

	Usage:
	EvalSecR.py [Pseudo-ID Table (in)] [Estimated Table (in)]
	"""