RNDcpp

ids = [1,2,3]
#=> [1, 2, 3]
    
#書き込み
recommendation = Recommendation.create(uid: 1, recommended_id_list: ids.pack('Q<*'))
#=> #<Recommendation uid: 1, recommended_id_list: "\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00", updated_at: "2020-01-15 09:56:20">
    
#読み込み
recommendation.recommended_id_list.unpack('Q<*')
#=> [1, 2, 3]

RNDcpp

class CreateRecommendations < ActiveRecord::Migration[5.2]
   def change
-     create_table :recommendations do |t|
+     create_table :recommendations, id: false do |t| # idの代わりにuidを使う
-     t.bigint :uid
+     t.bigint :uid, null: false, unique: true
-     t.blob :recommended_id_list
+     t.blob :recommended_id_list,  null: false
-     t.timestamps
+     t.datetime :updated_at, null: false # created_atは不要

RNDcpp

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation


# 初期値の定義
# 初期配置
x=[
[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],
[0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],

RNDcpp

import numpy as np

# 初期値の定義
x=[
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,1,0,0,0,0],
[0,0,0,0,0,1,0,0,0],
[0,0,0,1,1,1,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],

RNDcpp

	records = Google::Cloud::Bigquery.dataset(dataset_id).table(table_id).data()

RNDcpp

# USAGE conv.sh [input] [output] [width] [height]
# widthとheightは大きめ(2000以上)の方がいい感じになる

# リサイズします
convert $1 -resize ${3}x${4}! target.png

# 油彩フィルタを重ねがけします
convert target.png -modulate 160,180 -colors 400 -paint 2 -paint 2 -paint 2 -blur 3x4 paint.png

# ぼかした後の画像からエッジ画像を取り出します