Collonville

static void Main(string[] args)
{
    List<int> foo = new List<int> { 6, 1, 4, 9, 2 }; //list

    var cnt = foo.Select(x => x * 2).Where(x => x <= 14).Count();

    Console.WriteLine(cnt); // show count
}

Collonville

using UnityEngine;

[System.Serializable]
public class ItemData : MonoBehaviour {
    public int id;
    public int power;
}

Collonville

using System.Collections.Generic;
using UnityEngine;

[System.Serializable]
public class ClientData : MonoBehaviour {
    public int id;
    public List<ItemData> itemList;
}

Collonville

using System.Collections.Generic;
using UnityEngine;

public class ServerManager : MonoBehaviour {
    private Dictionary<int, ClientData> clientList;

    [SerializeField]
    private GameObject clientPrefab;

	// Use this for initialization

Collonville

//Revised ver
[System.Serializable]
public class ItemData{
    public int id;
    public int power;
}

Collonville

import colour 
from colour.plotting import *
from colour.models import *

CIE_1931_chromaticity_diagram_plot(
    bounding_box=(-0.1, 0.9, -0.1, 0.9), 
    standalone=True)

Collonville

import itertools
import numpy as np
import matplotlib.pyplot as plt
import colour 
from colour.plotting import *

#RGBを0.0~0.1の間隔で分割し、組み合わせを列挙
line = np.linspace(0.0, 1.0, 15, endpoint=True)
rgb = np.array(list(itertools.product(line,line,line)), dtype=np.float)

Collonville

using FireSharp;
using FireSharp.Config;
using FireSharp.Interfaces;
using FireSharp.Response;
using System;

namespace FireBaseChat
{
    class Program
    {

Collonville

tf_image = tf.io.decode_image(image, channels=3)
tf_image = tf.compat.v1.image.resize_image_with_pad(tf_image, 256, 512)

out = tf.cast(tf_image, tf.uint8)
out = tf.image.encode_jpeg(out, format="rgb", quality=100)
# out = tf.io.write_file("test.jpeg", out)

with tf.Session() as sess:
     jpeg_byte = sess.run(out)

Collonville

from tensorflow import keras

# 本来はこう(学習時)
x = keras.layers.Concatenate()([image, table])

# サーバーではこうしていた(推論時)
x = keras.layers.Concatenate()([table, image])