{"id":5698,"date":"2025-07-11T08:35:07","date_gmt":"2025-07-10T23:35:07","guid":{"rendered":"https:\/\/www.wetch.co.jp\/note\/?p=5698"},"modified":"2025-07-11T08:35:08","modified_gmt":"2025-07-10T23:35:08","slug":"%e3%83%a9%e3%83%99%e3%83%ab%e7%94%bb%e5%83%8f%e3%81%ae%e3%82%a8%e3%83%b3%e3%83%99%e3%83%87%e3%82%a3%e3%83%b3%e3%82%b0","status":"publish","type":"post","link":"https:\/\/www.wetch.co.jp\/note\/%e3%83%a9%e3%83%99%e3%83%ab%e7%94%bb%e5%83%8f%e3%81%ae%e3%82%a8%e3%83%b3%e3%83%99%e3%83%87%e3%82%a3%e3%83%b3%e3%82%b0\/","title":{"rendered":"\u30e9\u30d9\u30eb\u753b\u50cf\u306e\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0"},"content":{"rendered":"\n

\u524d\u56de\u306e\u6295\u7a3f\uff08\u30e9\u30d9\u30eb\u753b\u50cf\u306e\u5207\u308a\u51fa\u3057<\/a>\uff09\u3067\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306e\u5143\u30cd\u30bf\u3068\u3057\u3066\u6709\u52b9\u305d\u3046\u306a\u30e9\u30d9\u30eb\u753b\u50cf\u304c\u751f\u6210\u3067\u304d\u307e\u3057\u305f\u306e\u3067\u3001\u4eca\u56de\u306f\u5b9f\u969b\u306b\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u3057\u3066\u307f\u3066\u3001\u540c\u3058\u30e9\u30d9\u30eb\u306b\u95a2\u3059\u308b\u7570\u306a\u308b\u753b\u50cf\u3001\u9055\u3046\u30e9\u30d9\u30eb\u306b\u95a2\u3059\u308b\u753b\u50cf\u305d\u308c\u305e\u308c\u306e\u8ddd\u96e2\u611f\u306b\u95a2\u3057\u3066\u78ba\u8a8d\u3057\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u5168\u4f53\u306e\u6d41\u308c\u3084\u65b9\u6cd5\u306b\u95a2\u3057\u3066\u306f\u4ee5\u524d\u306e\u6295\u7a3f\u300c\u753b\u50cf\u691c\u7d22<\/a>\u300d\u306b\u6e96\u3058\u3066\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

PostgreSQL\u95a2\u9023\u306e\u6e96\u5099<\/h2>\n\n\n\n

\u300cMac+PostgreSQL\u3067\u30d9\u30af\u30c8\u30eb\u691c\u7d22<\/a>\u300d\u3067PostgreSQL\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3068\u52d5\u4f5c\u78ba\u8a8d\u306f\u6e08\u3093\u3067\u3044\u308b\u306e\u3067\u3001\u3053\u3053\u306b\u30e9\u30d9\u30eb\u753b\u50cf\u30d9\u30af\u30c8\u30eb\u3092\u7ba1\u7406\u3059\u308b\u305f\u3081\u306e\u30c6\u30fc\u30d6\u30eb\u3092\u7528\u610f\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

\u307e\u305a\u306f\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002
DB\u306f\u524d\u8ff0\u306e\u6295\u7a3f\u3067\u751f\u6210\u3057\u305f\u300ctestdb\u300d\u3092\u305d\u306e\u307e\u307e\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

testdb=# CREATE TABLE items (\n    id bigserial PRIMARY KEY,\n    name text,\n    embedding vector(2048)\n);\nCREATE TABLE<\/code><\/pre>\n\n\n\n
\u307e\u305f\u3001Python\u304b\u3089PostgreSQL\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u305f\u3081\u306b\u306f\u30d1\u30c3\u30b1\u30fc\u30b8\u300cpsycopg2\u300d\u304c\u5fc5\u8981\u306a\u306e\u3067\u3001\u3053\u308c\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
# pip install psycopg2<\/code><\/pre>\n\n\n\n
\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0<\/h2>\n\n\n\n
\u3067\u306f\u5b9f\u969b\u306b\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u3092\u884c\u306a\u3063\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306e\u5b9f\u88c5\u306b\u95a2\u3057\u3066\u306f\u3001\u4ee5\u524d\u4f5c\u6210\u3057\u305fResNet50\uff08\u300c\u91cd\u307f\u300d\u306b\u306fimagenet\u3092\u6307\u5b9a\uff09\u3092\u5229\u7528\u3059\u308b\u65b9\u6cd5\u3092\u4eca\u56de\u3082\u63a1\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
import numpy as np\nimport tensorflow as tf\n\nmodel = tf.keras.applications.ResNet50(include_top=False, pooling=\"avg\", weights='imagenet')\n\ndef embedding(image_path):\n    image_bytes = tf.io.read_file(image_path)\n    decoded_image = tf.image.decode_jpeg(image_bytes, channels=3)\n    resized_image = tf.image.resize(decoded_image, [224, 224])\n    vector = model.predict(np.array([resized_image.numpy()]))[0]\n    return vector<\/code><\/pre>\n\n\n\n
\u4e0a\u8a18\u95a2\u6570\u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u305f\u30d9\u30af\u30c8\u30eb\u3092PostgreSQL\u306b\u683c\u7d0d\u3057\u3066\u3044\u304d\u307e\u3059\u304c\u3001DB\u300ctestdb\u300d\u306e\u30aa\u30fc\u30ca\u306b\u306f\u73fe\u6642\u70b9\u3067\u30d1\u30b9\u30ef\u30fc\u30c9\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u306e\u3067\u3001\u6539\u3081\u3066\u30d1\u30b9\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3057\u307e\u3059\uff08\u4eca\u56de\u306f\u5b9f\u9a13\u7528\u306a\u306e\u3067\u30d1\u30b9\u30ef\u30fc\u30c9\u3082\u7c21\u5358\u306a\u3082\u306e\u3067\uff09\u3002<\/p>\n\n\n\n
postgres=# ALTER USER toshi WITH PASSWORD 'toshipw';\nALTER ROLE<\/code><\/pre>\n\n\n\n
\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u306e\u5b9f\u884c\u304a\u3088\u3073PostgreSQL\u3078\u306e\u683c\u7d0d\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
import psycopg2\nfrom embedding import embedding\nimport os\n\nLABEL_IMAGES = \".\/label_images\"\n\nconn = psycopg2.connect(\n    host=\"127.0.0.1\",\n    database=\"testdb\",\n    user=\"toshi\",\n    password=\"toshipw\"\n)\ncur = conn.cursor()\n\nimages = os.listdir(LABEL_IMAGES)\nfor image in images:\n    print(f\"Processing {image}...\")\n    image_path = os.path.join(LABEL_IMAGES, image)\n\n    vector = embedding(image_path)\n    cur.execute(\"INSERT INTO items (name, embedding) VALUES (%s, %s)\", (image, vector.tolist()))\n\nconn.commit()\ncur.close()\nconn.close()<\/code><\/pre>\n\n\n\n
\u30d5\u30a9\u30eb\u30c0\u300c.\/label_images\u300d\u306b\u306f\u524d\u56de\u751f\u6210\u3057\u305f\u30e9\u30d9\u30eb\u753b\u50cf\u3092\u683c\u7d0d\u3057\u3066\u304a\u304d\u307e\u3059\u3002
\u305d\u308c\u3089\u3092\u5168\u3066\u8aad\u307f\u8fbc\u307f\u3064\u3064\u3001\u30d5\u30a1\u30a4\u30eb\u540d\u3068\u30a8\u30f3\u30d9\u30c7\u30a3\u30f3\u30b0\u7d50\u679c\uff08\u30d9\u30af\u30c8\u30eb\uff09\u3092\u30c6\u30fc\u30d6\u30eb\u300citems\u300d\u306b\u683c\u7d0d\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u30b3\u30b5\u30a4\u30f3\u8ddd\u96e2\u306e\u78ba\u8a8d<\/h2>\n\n\n\n
\u751f\u6210\u3055\u308c\u305f\u30d9\u30af\u30c8\u30eb\u304c\u3001\u3069\u306e\u7a0b\u5ea6\u306e\u7cbe\u5ea6\u3092\u5b9f\u73fe\u3067\u304d\u3066\u3044\u308b\u304b\u3092\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3059\u3002
\u540c\u3058\u30e9\u30d9\u30eb\u3092\u5199\u3057\u305f\u753b\u50cf\u306e\u30d9\u30af\u30c8\u30eb\u306f\u300c\u8fd1\u3044\u300d\u3001\u7570\u306a\u308b\u30e9\u30d9\u30eb\u3092\u5199\u3057\u305f\u753b\u50cf\u306e\u30d9\u30af\u30c8\u30eb\u306f\u300c\u9060\u3044\u300d\u3068\u5206\u985e\u3055\u308c\u3001\u4e21\u8005\u306e\u5dee\u304c\u660e\u78ba\u3067\u3042\u308c\u3070\u3042\u308b\u307b\u3069\u7cbe\u5ea6\u304c\u9ad8\u3044\uff08\u540c\u3058\u3082\u306e\u3092\u540c\u3058\u3001\u9055\u3046\u3082\u306e\u3092\u9055\u3046\u3068\u7684\u78ba\u306b\u533a\u5225\u3067\u304d\u308b\uff09\u3068\u5224\u65ad\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u307e\u305a\u306f\u3001\u751f\u6210\u3057\u305f\u30d9\u30af\u30c8\u30eb\u5168\u3066\u306b\u95a2\u3057\u3066\u7dcf\u5f53\u305f\u308a\u3067\u8ddd\u96e2\u3092\u7b97\u51fa\u3057\u307e\u3059\u3002
\u5177\u4f53\u7684\u306a\u5b9f\u88c5\u5185\u5bb9\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
import psycopg2\nfrom embedding import embedding\nimport os\n\nconn = psycopg2.connect(\n    host=\"127.0.0.1\",\n    database=\"testdb\",\n    user=\"toshi\",\n    password=\"toshipw\"\n)\ncur = conn.cursor()\n\ncur.execute(\"\"\"\n    SELECT\n        name,\n        embedding\n    FROM items\n    ORDER BY name\n\"\"\")\nrows = cur.fetchall()\nfor row in rows:\n    print(\"----------\")\n    print(row[0])\n\n    cur.execute(\"\"\"\n        SELECT\n            name,\n            embedding <=> %s::vector AS distance\n        FROM items\n        ORDER BY distance\n    \"\"\", (row[1],))\n\n    v_rows = cur.fetchall()\n    for v_row in v_rows:\n        print(v_row)\n\ncur.close()\nconn.close()<\/code><\/pre>\n\n\n\n
\u7d50\u679c\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
\u300c\u30e9\u30d9\u30eb\u753b\u50cf\u306e\u5207\u308a\u51fa\u3057<\/a>\u300d\u306b\u304a\u3051\u308b\u30bb\u30c3\u30c8n\u306em\u756a\u76ee\u306e\u753b\u50cf\u3092\u300cnm\u300d\u306e\u3088\u3046\u306b\u6570\u5b572\u3064\u306e\u7d44\u307f\u5408\u308f\u305b\u3067\u793a\u3057\u3066\u3044\u307e\u3059\u3002
\u3064\u307e\u308a\u30011\u3064\u76ee\u306e\u6570\u5b57\u304c\u540c\u3058\u3067\u3042\u308c\u3070\u3001\u540c\u3058\u30e9\u30d9\u30eb\u306b\u95a2\u3059\u308b\u753b\u50cf\u3068\u8a00\u3046\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u30b3\u30b5\u30a4\u30f3\u8ddd\u96e2\u306f0\u301c2\u306e\u7bc4\u56f2\u306e\u5c0f\u6570\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u30b9\u30da\u30fc\u30b9\u7684\u306b\u7d30\u304b\u306a\u6570\u5b57\u3092\u8868\u8a18\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\u305f\u3081\u3001\u5c0f\u6570\u7b2c\u4e00\u4f4d\u306e\u6570\u5b57\u306e\u307f\u8a18\u8ff0\u3057\u307e\u3057\u305f\u3002
\u3064\u307e\u308a\u3001\u300c0\u300d\u306f0\u4ee5\u4e0a0.1\u672a\u6e80\u3001\u300c1\u300d\u306f0.1\u4ee5\u4e0a0.2\u672a\u6e80\u306e\u5c0f\u6570\u3067\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
<\/td>11<\/td>12<\/td>13<\/td>14<\/td>15<\/td>21<\/td>22<\/td>23<\/td>24<\/td>25<\/td>31<\/td>32<\/td>33<\/td>34<\/td>35<\/td>41<\/td>42<\/td>43<\/td>44<\/td>45<\/td><\/tr>
11<\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>4<\/td>4<\/td>5<\/td>4<\/td>4<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>4<\/td>5<\/td>4<\/td>4<\/td><\/tr>
12<\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>5<\/td>5<\/td>5<\/td>4<\/td>5<\/td>4<\/td>4<\/td>3<\/td>3<\/td>3<\/td>4<\/td>4<\/td>4<\/td>4<\/td>4<\/td><\/tr>
13<\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>4<\/td>4<\/td>4<\/td>4<\/td>4<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>4<\/td>4<\/td>4<\/td>4<\/td><\/tr>
14<\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>4<\/td>5<\/td>5<\/td>4<\/td>4<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>4<\/td>4<\/td>4<\/td>4<\/td><\/tr>
15<\/td><\/td><\/td><\/td><\/td>–<\/td>5<\/td>5<\/td>5<\/td>4<\/td>4<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>4<\/td>5<\/td>4<\/td>4<\/td><\/tr>
21<\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>3<\/td>2<\/mark><\/td>3<\/td>2<\/mark><\/td>3<\/td><\/tr>
22<\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td><\/tr>
23<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>1<\/mark><\/td>0<\/mark><\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>3<\/td>3<\/td>3<\/td>2<\/mark><\/td>3<\/td><\/tr>
24<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>3<\/td>2<\/mark><\/td>3<\/td>2<\/mark><\/td>4<\/td>2<\/mark><\/td>2<\/mark><\/td>3<\/td>2<\/mark><\/td>3<\/td><\/tr>
25<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>3<\/td>3<\/td>3<\/td>3<\/td>4<\/td>2<\/mark><\/td>2<\/mark><\/td>3<\/td>2<\/mark><\/td>3<\/td><\/tr>
31<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>1<\/mark><\/td>3<\/td>3<\/td>4<\/td>3<\/td>4<\/td><\/tr>
32<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>1<\/mark><\/td>0<\/mark><\/td>2<\/mark><\/td>3<\/td>3<\/td>4<\/td>3<\/td>4<\/td><\/tr>
33<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>1<\/mark><\/td>1<\/mark><\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td><\/tr>
34<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>2<\/mark><\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td><\/tr>
35<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>3<\/td>3<\/td>3<\/td>3<\/td>3<\/td><\/tr>
41<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td><\/tr>
42<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td>0<\/mark><\/td><\/tr>
43<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td>0<\/mark><\/td><\/tr>
44<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td>0<\/mark><\/td><\/tr>
45<\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td>–<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u57fa\u672c\u7684\u306b\u306f\u671f\u5f85\u901a\u308a\u306e\u7d50\u679c\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002
\u540c\u3058\u30e9\u30d9\u30eb\u306e\u753b\u50cf\u76f8\u4e92\u3067\u306f\u8ddd\u96e2\u304c\u300c0\u300d\uff080.1\u672a\u6e80\uff09\u3068\u306a\u308b\u3053\u3068\u304c\u5927\u534a\u3067\u3001\u9650\u3089\u308c\u305f\u30b1\u30fc\u30b9\u3067\u300c1\u300d\u3084\u300c2\u300d\u306b\u306a\u3063\u3066\u3044\u308b\u7a0b\u5ea6\u3067\u3059\u3002
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35\u3092\u9664\u304f\u540c\u3058\u30e9\u30d9\u30eb\u306b\u95a2\u3059\u308b\u6700\u5927\u8ddd\u96e2\uff0832-33\uff09<\/td>0.12959717844480667<\/td><\/tr>
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42<\/td>43<\/td>\u8ddd\u96e2<\/td><\/tr>
\"\"<\/td>\"\"<\/td>0.024057833544022023<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
32<\/td>33<\/td>\u8ddd\u96e2<\/td><\/tr>
\"\"<\/td>\"\"<\/td>0.12959717844480667<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
34<\/td>35<\/td>\u8ddd\u96e2<\/td><\/tr>
\"\"<\/td>\"\"<\/td>0.2340515825328603<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
24<\/td>44<\/td>\u8ddd\u96e2<\/td><\/tr>
\"\"<\/td>\"\"<\/td>0.2601928593368079<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
42-43\u306e\u8ddd\u96e2\u304c\u5c0f\u3055\u3044\u306e\u306f\u7d0d\u5f97\u306e\u7d50\u679c\u3067\u3059\u304c\u3001\u305d\u308c\u3068\u6bd4\u8f03\u3057\u306632-33\u304c5\u500d\u4ee5\u4e0a\u306e\u8ddd\u96e2\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002
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ResNet50\u304cImageNet\u3067\u5b66\u7fd2\u3057\u305f\u969b\u306b\u91cd\u8996\u3057\u305f\u7279\u5fb4\uff08\u7269\u4f53\u5206\u985e\u306b\u6709\u52b9\u306a\u7279\u5fb4\uff09\u3068\u3001\u79c1\u305f\u3061\u304c\u4eca\u56de\u6c42\u3081\u3066\u3044\u308b\u300c\u30e9\u30d9\u30eb\u30c7\u30b6\u30a4\u30f3\u306e\u985e\u4f3c\u6027\u300d\u3068\u3044\u3046\u7279\u5fb4\u304c\u3001\u5fc5\u305a\u3057\u3082\u4e00\u81f4\u3057\u306a\u3044\u3053\u3068\u304c\u4e3b\u306a\u539f\u56e0\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002<\/code><\/pre>\n\n\n\n
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