pingsutw

import java.io.FileReader;
import java.io.BufferedReader;                                                   
import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.*;
import java.util.StringTokenizer;

pingsutw

import java.nio.ByteBuffer;                                                               

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.IntWritable.Comparator;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.WritableComparator;
import org.apache.hadoop.mapreduce.Job;

pingsutw

import java.util.Scanner;                                                  
import java.util.Random;

public class generate_card {
    public static void main (String[] args) {
        Scanner scan = new Scanner (System.in);
        int num_decks = scan.nextInt();
        int num_perDecks = scan.nextInt();
        //String suits[] = {"H","D","C","S"};
        String suits[] = {"\u2661", "\u2662", "\u2663", "\u2660"};

pingsutw

import java.io.FileReader;                                                 
import java.io.BufferedReader;                                                 
import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.*;
import java.util.StringTokenizer;

pingsutw

# tensorflow 2 supported                                                                      
# using MultiWorkerMirroredStrategy
# Need to install tf-nightly
# https://www.tensorflow.org/tutorials/distribute/multi_worker_with_keras

from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import tensorflow_datasets as tfds
import tensorflow as tf
tfds.disable_progress_bar()

pingsutw

#include <bits/stdc++.h>

using namespace std;

#define rep(i, x, y)  for (__typeof(x) i = x; i <= y; i++)
#define repi(i, x, y) for (__typeof(x) i = x; i >= y; i--)
#define trav(a, x) for(auto& a : x)
#define all(x) x.begin(), x.end()
#define sz(x) (int)(x).size()
#define fill(x, y) memset(x, y, sizeof(y))

pingsutw

apiVersion: "kubeflow.org/v1"
kind: "TFJob"
metadata:
  name: "mnist"
  namespace: submarine
spec:
  cleanPodPolicy: None
  initContainers:
  - name: init-mydb
    image: busybox:1.28

pingsutw

swagger: "2.0"
info:
  description: "The Submarine REST API allows you to create, list, and get experiments. The API is hosted under the /v1/jobs route on the Submarine server. For example, to list experiments on a server hosted at http://localhost:8080, access http://localhost:8080/api/v1/jobs/status"
  version: "1.0.0"
  title: "Submarine Job API"
  termsOfService: "http://swagger.io/terms/"
  contact:
    email: "[email protected]"
  license:
    name: "Apache 2.0"

pingsutw

swagger: '2.0'
info:
  description: 'The Submarine REST API allows you to create, list, and get experiments. The API is hosted under the /v1/jobs route on the Submarine server. For example, to list experiments on a server hosted at http://localhost:8080, access http://localhost:8080/v1/jobs/status'
  version: 1.0.0
  title: ''
  termsOfService: 'http://swagger.io/terms/'
  contact:
    email: [email protected]
  license:
    name: Apache 2.0

pingsutw

swagger: "2.0"
info:
  description: "The Submarine REST API allows you to create, list, and get experiments. The API is hosted under the /v1/jobs route on the Submarine server. For example, to list experiments on a server hosted at http://localhost:8080, access http://localhost:8080/api/v1/jobs/"
  version: "1.0.0"
  title: "Submarine Experiment API"
  termsOfService: "http://swagger.io/terms/"
  contact:
    email: "[email protected]"
  license:
    name: "Apache 2.0"