{"id":7819,"date":"2025-10-02T07:17:30","date_gmt":"2025-10-02T07:17:30","guid":{"rendered":"https:\/\/pokecon.jp\/job\/?p=7819"},"modified":"2025-10-02T07:17:30","modified_gmt":"2025-10-02T07:17:30","slug":"%e3%83%84%e3%83%aa%e3%83%bc%e3%82%a4%e3%83%b3%e3%83%87%e3%83%83%e3%82%af%e3%82%b9%e3%82%92%e3%82%82%e3%81%a4%e3%82%a8%e3%82%af%e3%82%bb%e3%83%ab%e3%83%95%e3%82%a1%e3%82%a4%e3%83%ab%e3%81%ab%e9%96%a2","status":"publish","type":"post","link":"https:\/\/pokecon.jp\/job\/7819\/","title":{"rendered":"\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u95a2\u3059\u308b\u30c4\u30fc\u30eb\u7fa4 &#8211; MOTEX TECH BLOG"},"content":{"rendered":"\n<\/p>\n<div>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-masuda\/20250918\/20250918104606.png\" alt=\"\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u95a2\u3059\u308b\u30c4\u30fc\u30eb\u7fa4\" width=\"1900\" height=\"864\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><\/p>\n<p>\u8a18\u4e8b [<a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/06\/25\/173716\">1<\/a>, <a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/12\/163419\">2<\/a>, <a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/25\/101803\">3<\/a>] \u3067\u306f\u3001\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u8868\u3092\u4f53\u7cfb\u7684\u306b\u53d6\u308a\u6271\u3046\u8003\u3048\u65b9\u3068\u305d\u306e\u30c4\u30fc\u30eb\u7fa4\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u7d50\u5408\u30bb\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u6839\u4ed8\u304d\u6728\u306e\u69cb\u9020 (\u4ee5\u4e0b\u3001 <strong>\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9<\/strong> \u3068\u7701\u7565) \u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u5bfe\u3057\u3066\u3001\u540c\u69d8\u306a\u30c4\u30fc\u30eb\u7fa4\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u304c\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u3067\u89e3\u91c8\u3057\u305f\u5834\u5408\u306b\u306f\u3042\u308b\u7a0b\u5ea6\u898f\u5247\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li>\u696d\u52d9\u4e0a\u3001\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u3088\u308a\u3082\u8907\u96d1\u306a\u69cb\u9020\u3092\u6301\u3064\u7d50\u5408\u30bb\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u542b\u3080\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u53d6\u308a\u6271\u3046\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li>\u4f8b\u3048\u3070\u300eLANSCOPE \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u30fc \u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u7248\u300f\u306e\u300c\u30c7\u30d0\u30a4\u30b9\u5236\u9650\u8a2d\u5b9a\u300d\u306f\u968e\u5c64\u69cb\u9020\u306b\u306a\u3063\u3066\u3044\u3066\u3001\u3053\u308c\u3092\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3067\u8868\u73fe\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3001Windows \u3068 Mac \u3067\u7570\u306a\u308b\u968e\u5c64\u69cb\u9020\u3092\u53d6\u308a\u6271\u3044\u307e\u3059\u3002 (\u56f3 1 \u3092\u53c2\u7167\u3002)<\/li>\n<\/ul>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144626.png\" width=\"468\" height=\"288\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 1. \u300eLANSCOPE \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u30fc \u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u7248\u300f\u306e\u300c\u30c7\u30d0\u30a4\u30b9\u5236\u9650\u8a2d\u5b9a\u300d\u3002<\/p>\n<h2 id=\"\u8ab2\u984c1-\u4e00\u822c\u7684\u306b\u30bb\u30eb\u7d50\u5408\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306e\u9069\u5207\u306a\u69cb\u9020\u304c\u5b58\u5728\u3057\u306a\u3044\u3053\u3068\">\u8ab2\u984c1. \u4e00\u822c\u7684\u306b\u30bb\u30eb\u7d50\u5408\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306e\u9069\u5207\u306a\u69cb\u9020\u304c\u5b58\u5728\u3057\u306a\u3044\u3053\u3068\u3002<\/h2>\n<p>\u696d\u52d9\u3067\u983b\u7e41\u306b\u4f7f\u7528\u3055\u308c\u308b\u4e00\u822c\u7684\u306a\u7d50\u5408\u30bb\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u30cf\u30a4\u30d1\u30fc\u30ad\u30e5\u30fc\u30d6\u4ee5\u5916\u306e\u300c\u898f\u5247\u6027\u306e\u306a\u3044\u300d\u69cb\u9020\u304c\u5fc5\u8981\u3067\u3059\u3002\u3057\u304b\u3057\u3001\u8868\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306b\u5bfe\u3057\u3066\u3053\u306e\u69cb\u9020\u3092\u4f53\u7cfb\u7684\u306b\u53d6\u308a\u6271\u3046\u65b9\u6cd5\u306f\u3001\u79c1\u306e\u77e5\u308b\u9650\u308a\u5b58\u5728\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n<h2 id=\"\u8ab2\u984c2-\u4e0a\u8a18\u306e\u69cb\u9020\u3092\u53d6\u308a\u6271\u3046\u30c4\u30fc\u30eb\u7fa4\u304c\u5b58\u5728\u3057\u306a\u3044\u3053\u3068\">\u8ab2\u984c2. \u4e0a\u8a18\u306e\u69cb\u9020\u3092\u53d6\u308a\u6271\u3046\u30c4\u30fc\u30eb\u7fa4\u304c\u5b58\u5728\u3057\u306a\u3044\u3053\u3068\u3002<\/h2>\n<p>\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u53d6\u308a\u6271\u3046\u30c4\u30fc\u30eb\u7fa4\u306b\u5bfe\u3057\u3066\u3082\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u53d6\u308a\u6271\u3046\u30c4\u30fc\u30eb\u7fa4\u306e\u5bfe\u5fdc\u7269\u304c\u5b58\u5728\u3057\u306a\u3044\u3067\u3059\u3002<\/p>\n<h2 id=\"\u89e3\u6c7a1-\u6839\u4ed8\u304d\u6728\u3092\u4f7f\u7528\">\u89e3\u6c7a1. \u6839\u4ed8\u304d\u6728\u3092\u4f7f\u7528\u3002<\/h2>\n<p>\u56f3 2 \u306e\u3088\u3046\u306a\u3001\u884c\u306f\u30b0\u30eb\u30fc\u30d7\u3068\u30e6\u30fc\u30b6\u306b\u95a2\u3059\u308b\u968e\u5c64\u69cb\u9020\u3001\u5217\u306f\u4e0a\u8ff0\u3057\u305f\u300c\u30c7\u30d0\u30a4\u30b9\u5236\u9650\u8a2d\u5b9a\u300d\u3092\u8868\u73fe\u3059\u308b\u8868\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144648.png\" width=\"1200\" height=\"278\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 2. \u300eLANSCOPE \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u30de\u30cd\u30fc\u30b8\u30e3\u30fc \u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u7248\u300f\u306e\u300c\u30c7\u30d0\u30a4\u30b9\u5236\u9650\u8a2d\u5b9a\u300d\u306e\u8868\u3002<\/p>\n<p>\u3053\u3053\u3067\u3001\u30eb\u30fc\u30c8\u3092\u3082\u3063\u305f\u30c4\u30ea\u30fc\u3092\u6839\u4ed8\u304d\u6728\u3068\u3088\u3073\u307e\u3059\u3002\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3068\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3068\u3082\u306b\u3001\u6839\u4ed8\u304d\u6728\u3067\u8868\u73fe\u3057\u307e\u3059\u3002\u4e0a\u8a18\u306e\u8868\u3092\u6839\u4ed8\u304d\u6728\u3067\u8868\u73fe\u3059\u308b\u3068 \u56f3 3 \u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250822\/20250822135531.png\" width=\"1200\" height=\"691\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 3. \u6839\u4ed8\u304d\u6728\u3002<\/p>\n<p>\u6839\u4ed8\u304d\u6728\u3092\u30ce\u30fc\u30c9\u9593\u306e\u96a3\u63a5\u95a2\u4fc2\u3092\u8868\u3059\u30ea\u30b9\u30c8 (\u4ee5\u4e0b\u3001<strong>\u96a3\u63a5\u30ea\u30b9\u30c8<\/strong> \u3068\u7701\u7565) \u3067\u8868\u73fe\u3057\u307e\u3059\u3002\u30eb\u30fc\u30c8\u81ea\u4f53\u306f\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30bb\u30eb\u3068\u3057\u3066\u306f\u8868\u793a\u3057\u307e\u305b\u3093\u3002<\/p>\n<p>\u25a0 \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9<\/p>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">r: [\u30b0\u30eb\u30fc\u30d71, \u30b0\u30eb\u30fc\u30d72]\n\u30b0\u30eb\u30fc\u30d71:  [\u30e6\u30fc\u30b61,\u30e6\u30fc\u30b62]\n\u30b0\u30eb\u30fc\u30d72:  [\u30e6\u30fc\u30b63,\u30e6\u30fc\u30b64]<\/pre>\n<p>\u25a0 \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9<\/p>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">r: [\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b]\n\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b: [\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b, \u5916\u4ed8\u3051\u30c7\u30d0\u30a4\u30b9\u306e\u7981\u6b62\u6642\u306b\u30dd\u30c3\u30d7\u30a2\u30c3\u30d7\u3067\u901a\u77e5\u3059\u308b, \u5e38\u306b\u8a31\u53ef\u3059\u308b\u30c7\u30d0\u30a4\u30b9\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b USB \u306e\u30d9\u30f3\u30c0\u30fcID\/\u30d7\u30ed\u30c0\u30af\u30c8ID \u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b\u7ba1\u7406\u30c7\u30d0\u30a4\u30b9\u3092\u8a2d\u5b9a\u3059\u308b]\n\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b: [Windows, Mac]\nWindows: [CD\/DVD_win, FD, USB, \u305d\u306e\u4ed6_win]\nMac: [CD\/DVD_mac, \u305d\u306e\u4ed6_mac]<\/pre>\n<h2 id=\"\u89e3\u6c7a2-\u30c4\u30fc\u30eb\u7fa4\u3092\u4f5c\u6210\">\u89e3\u6c7a2. \u30c4\u30fc\u30eb\u7fa4\u3092\u4f5c\u6210\u3002<\/h2>\n<p>\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u8868\u3092\u4f53\u7cfb\u7684\u306b\u53d6\u308a\u6271\u3046\u8003\u3048\u65b9\u3068\u305d\u306e\u30c4\u30fc\u30eb\u7fa4\u306b\u5bfe\u3059\u308b\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5bfe\u5fdc\u7269\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9: 5 \u968e\u5c64\u306e 2 \u5206\u6728\u306e\u30b0\u30eb\u30fc\u30d7\u3068\u3001\u6700\u5c0f\u306e\u30b0\u30eb\u30fc\u30d7\u306b 10 \u30e6\u30fc\u30b6\u306e\u6839\u4ed8\u304d\u6728\u3092\u8003\u3048\u308b\u3068\u3001\u30ea\u30fc\u30d5\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f 2<sup>5<\/sup> * 10 = 320 \u884c\u3002<br \/>\n\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9: \u300c\u30c7\u30d0\u30a4\u30b9\u5236\u9650\u8a2d\u5b9a\u300d\u306e\u30ea\u30fc\u30d5\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u6570\u306f 10 \u5217<\/p>\n<p>\u5408\u8a08 10 * 320 = 3200 \u500b\u306e\u30bb\u30eb\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb (\u56f34 \u3092\u53c2\u7167) \u306f\u3001\u7d50\u5408\u30bb\u30eb\u306e\u968e\u5c64\u69cb\u9020\u304c\u8907\u96d1\u3067\u3042\u308c\u3070\u3042\u308b\u307b\u3069\u3001\u4f5c\u6210\u306f 1 \u9031\u9593\u4ee5\u4e0a\u3001\u5dee\u5206\u306e\u62bd\u51fa\u3001\u6839\u4ed8\u304d\u6728\u306e\u5144\u5f1f\u30ce\u30fc\u30c9\u306e\u4ea4\u63db\u3001\u53ca\u3073\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u3068\u30b7\u30f3\u30b0\u30eb\u3067\u76f8\u4e92\u5909\u63db\u306f\u305d\u308c\u305e\u308c 2 \u9031\u95a2\u4ee5\u4e0a\u304b\u304b\u308b\u3068\u898b\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144738.png\" width=\"850\" height=\"601\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 4. \u5408\u8a08 10 * 320 = 3200 \u500b\u306e\u30bb\u30eb\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3002<\/p>\n<p>\u3053\u308c\u3092\u6b21\u306b\u8a18\u8f09\u306e 4 \u30c4\u30fc\u30eb\u3067\u89e3\u6c7a\u3057\u307e\u3059\u3002\u30a8\u30e0\u30aa\u30fc\u30c6\u30c3\u30af\u30b9\u793e\u5185 AI \u30c4\u30fc\u30eb\u3068\u76f8\u8ac7\u3057\u3066\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<ul>\n<li>\n<p>\u30c4\u30fc\u30eb 1: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3059\u308b\u30c4\u30fc\u30eb<\/p>\n<\/li>\n<li>\n<p>\u30c4\u30fc\u30eb 2: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb<\/p>\n<\/li>\n<li>\n<p>\u30c4\u30fc\u30eb 3: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3044\u3066\u6839\u4ed8\u304d\u6728\u306e\u5144\u5f1f\u30ce\u30fc\u30c9\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\uff08\u5099\u8003: \u5144\u5f1f<br \/>\n\u30ce\u30fc\u30c9\u3068\u3044\u3046\u306e\u306f\u89aa\u30ce\u30fc\u30c9\u3092\u5171\u6709\u3059\u308b\u8907\u6570\u306e\u30ce\u30fc\u30c9\u306e\u3053\u3068\u3067\u3059\u3002\u4e0a\u8a18\u306e\u4f8b\u3060\u3068\u300c\u30b0\u30eb\u30fc\u30d71\u300d\u3068\u300c\u30b0\u30eb\u30fc\u30d72\u300d\u306e\u3053\u3068\u3067\u3059\u3002\uff09<\/p>\n<\/li>\n<li>\n<p>\u30c4\u30fc\u30eb 4: \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u3068\u30b7\u30f3\u30b0\u30eb\u3067\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb<\/p>\n<\/li>\n<\/ul>\n<h2 id=\"\u30d5\u30a9\u30eb\u30c0\u306e\u69cb\u6210\">\u30d5\u30a9\u30eb\u30c0\u306e\u69cb\u6210<\/h2>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">\u251c\u2500 __init__.py\n\u251c\u2500 common\/\n\u2502   \u251c\u2500 __init__.py\n\u2502   \u251c\u2500 tree_utils.py # \u30c4\u30ea\u30fc\u69cb\u9020\u95a2\u9023\u306e\u5171\u901a\u95a2\u6570\n\u2502   \u2514\u2500 excel_utils.py # Excel \u64cd\u4f5c\u306e\u5171\u901a\u51e6\u7406\n\u251c\u2500 tree_index.py\n\u251c\u2500 excel_validation.py\n\u251c\u2500 tree_index_rotation.py\n\u2514\u2500 tree_index_single_index_conversion.py<\/pre>\n<h2 id=\"\u30c4\u30fc\u30eb-1-\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3059\u308b\u30c4\u30fc\u30eb\">\u30c4\u30fc\u30eb 1: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3059\u308b\u30c4\u30fc\u30eb<\/h2>\n<h3 id=\"\u51e6\u7406\u306e\u6982\u8981\">\u51e6\u7406\u306e\u6982\u8981<\/h3>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">Step 1. \u30e6\u30fc\u30b6: UI \u306e\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u3001\u884c\u3068\u5217\u305d\u308c\u305e\u308c\u306e\u30c4\u30ea\u30fc\u3092\u8868\u3059\u96a3\u63a5\u30ea\u30b9\u30c8\u5f62\u5f0f\u306e\u6587\u5b57\u5217\u3092\u5165\u529b\u3002\nStep 2. \u5165\u529b\u3055\u308c\u305f\u6587\u5b57\u5217\u304b\u3089\u3001\u884c\u3068\u5217\u305d\u308c\u305e\u308c\u306e\u30c4\u30ea\u30fc\u69cb\u9020\u304c\u69cb\u7bc9\u3055\u308c\u3001\u5168\u4f53\u306e\u6df1\u3055\u3084\u30ea\u30fc\u30d5\u6570\u3092\u8a08\u7b97\u3002\nStep 3. \u30c4\u30ea\u30fc\u69cb\u9020\u306e\u60c5\u5831\u3092\u5143\u306b\u3001Excel\u30b7\u30fc\u30c8\u5185\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u9818\u57df\uff08\u5de6\u4e0a\u306e\u4ea4\u5dee\u90e8\u3001\u884c\u30d8\u30c3\u30c0\u30fc\u3001\u5217\u30d8\u30c3\u30c0\u30fc\uff09\u306e\u30b5\u30a4\u30ba\u304a\u3088\u3073\u914d\u7f6e\u304c\u6c7a\u5b9a\u3002\nStep 4. \u7f6b\u7dda\u3084\u30bb\u30eb\u66f8\u5f0f\u3092\u8a2d\u5b9a\u3059\u308b\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3092\u7528\u3044\u3066\u3001Excel\u30d5\u30a1\u30a4\u30eb\u7528\u306e\u30b7\u30fc\u30c8\u3092\u4f5c\u6210\u3002\nStep 5. \u5de6\u4e0a\u4ea4\u5dee\u90e8\u306b\u306f\u65e2\u5b9a\u306e\u540d\u79f0\uff08\u4f8b\uff1a\"A1\/B1\" \u3084 \"B2\" \u306a\u3069\uff09\u3092\u51fa\u529b\u3057\u3001\u5404\u5217\u306e\u898b\u51fa\u3057\u3068\u5404\u884c\u306e\u898b\u51fa\u3057\u3092\u305d\u308c\u305e\u308c\u66f8\u304d\u8fbc\u307f\u3002\nStep 6. \u30c4\u30ea\u30fc\u69cb\u9020\u306b\u57fa\u3065\u3044\u3066\u7b97\u51fa\u3055\u308c\u305f\u7d50\u5408\u30bb\u30eb\u304c\u3001\u5217\u3084\u884c\u306e\u30d8\u30c3\u30c0\u30fc\u90e8\u5206\u306b\u53cd\u6620\u3055\u308c\u308b\u3002\nStep 7. \u30d8\u30c3\u30c0\u4ee5\u5916\u306e\u30c7\u30fc\u30bf\u306e\u9818\u57df\u306f\u3001\u5fc5\u8981\u306a\u30bb\u30eb\u306b\u5bfe\u3057\u3066\u7a7a\u6587\u5b57\u306a\u3069\u3092\u51fa\u529b\u3057\u3066\u8868\u5f62\u5f0f\u3068\u306a\u308b\u3088\u3046\u306b\u63cf\u753b\u3002\nStep 8. \u5143\u306e\u884c\u30fb\u5217\u306e\u30c4\u30ea\u30fc\u60c5\u5831\u30c6\u30ad\u30b9\u30c8\u306f\u305d\u308c\u305e\u308c\u3001\u5c02\u7528\u306e\u30b7\u30fc\u30c8\uff08\"row_index\" \u3068 \"col_index\"\uff09\u306b\u66f8\u304d\u8fbc\u307f\u3002\nStep 9. \u30e6\u30fc\u30b6: \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3002<\/pre>\n<h3 id=\"tree_indexpy\">tree_index.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n<span class=\"synPreProc\">import<\/span> io\n<span class=\"synPreProc\">import<\/span> xlsxwriter\n<span class=\"synPreProc\">from<\/span> common.tree_utils <span class=\"synPreProc\">import<\/span> (\n    TreeNode, parse_adj_list, build_directed_tree, assign_positions,\n    collect_col_header_ranges, collect_row_header_ranges, tree_to_dot_format\n)\n\nst.title(<span class=\"synConstant\">\"\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u4f5c\u6210\u30c4\u30fc\u30eb\"<\/span>)\n\nst.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">\u3010\u4f7f\u3044\u65b9\u3011  <\/span>\n<span class=\"synConstant\">\u30fb\u3010\u96a3\u63a5\u30ea\u30b9\u30c8\u5f62\u5f0f\u3011\u3067\u6709\u5411\u6728\uff08\u89aa \u2192 \u5b50\uff09\u306e\u69cb\u9020\u3092\u5165\u529b\u3057\u3066\u304f\u3060\u3055\u3044\u3002  <\/span>\n\n<span class=\"synConstant\">\u3010\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4f8b\u3011\uff08\u5de6\u5074\u306b\u8868\u793a\uff09<\/span>\n<span class=\"synConstant\">r: [\u30b0\u30eb\u30fc\u30d71, \u30b0\u30eb\u30fc\u30d72]<\/span>\n<span class=\"synConstant\">\u30b0\u30eb\u30fc\u30d71:  [\u30e6\u30fc\u30b61,\u30e6\u30fc\u30b62]<\/span>\n<span class=\"synConstant\">\u30b0\u30eb\u30fc\u30d72:  [\u30e6\u30fc\u30b63,\u30e6\u30fc\u30b64]<\/span>\n\n<span class=\"synConstant\">\u3010\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4f8b\u3011\uff08\u4e0a\u5074\u306b\u8868\u793a\uff09  <\/span>\n<span class=\"synConstant\">r: [\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b]<\/span>\n<span class=\"synConstant\">\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b: [\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b, \u5916\u4ed8\u3051\u30c7\u30d0\u30a4\u30b9\u306e\u7981\u6b62\u6642\u306b\u30dd\u30c3\u30d7\u30a2\u30c3\u30d7\u3067\u901a\u77e5\u3059\u308b, \u5e38\u306b\u8a31\u53ef\u3059\u308b\u30c7\u30d0\u30a4\u30b9\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b USB \u306e\u30d9\u30f3\u30c0\u30fcID\/\u30d7\u30ed\u30c0\u30af\u30c8ID \u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b\u7ba1\u7406\u30c7\u30d0\u30a4\u30b9\u3092\u8a2d\u5b9a\u3059\u308b]<\/span>\n<span class=\"synConstant\">\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b: [Windows, Mac]<\/span>\n<span class=\"synConstant\">Windows: [CD\/DVD_win, FD, USB, \u305d\u306e\u4ed6_win]<\/span>\n<span class=\"synConstant\">Mac: [CD\/DVD_mac, \u305d\u306e\u4ed6_mac]<\/span>\n\n<span class=\"synConstant\">\u203b\u51fa\u529b\u3055\u308c\u308bExcel\u306e\u5de6\u4e0a\u4ea4\u5dee\u90e8\u306b\u306f\u300cA1,B1 \u306a\u3069\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u540d\u79f0\u300d\u304c\u4ed8\u4e0e\u3055\u308c\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">\"\"\"<\/span>)\n\ndefault_row_tree = (<span class=\"synConstant\">\"r: [\u30b0\u30eb\u30fc\u30d71, \u30b0\u30eb\u30fc\u30d72]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"\u30b0\u30eb\u30fc\u30d71:  [\u30e6\u30fc\u30b61,\u30e6\u30fc\u30b62]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"\u30b0\u30eb\u30fc\u30d72:  [\u30e6\u30fc\u30b63,\u30e6\u30fc\u30b64]\"<\/span>)\nrow_tree_input = st.text_area(<span class=\"synConstant\">\"\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08\u5de6\u5074\u306b\u8868\u793a\uff09\"<\/span>, value=default_row_tree, height=<span class=\"synConstant\">150<\/span>)\n\ndefault_col_tree = (<span class=\"synConstant\">\"r: [\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b: [\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b, \u5916\u4ed8\u3051\u30c7\u30d0\u30a4\u30b9\u306e\u7981\u6b62\u6642\u306b\u30dd\u30c3\u30d7\u30a2\u30c3\u30d7\u3067\u901a\u77e5\u3059\u308b, \u5e38\u306b\u8a31\u53ef\u3059\u308b\u30c7\u30d0\u30a4\u30b9\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b USB \u306e\u30d9\u30f3\u30c0\u30fcID\/\u30d7\u30ed\u30c0\u30af\u30c8ID \u3092\u8a2d\u5b9a\u3059\u308b, \u8a31\u53ef\u307e\u305f\u306f\u8aad\u53d6\u5c02\u7528\u306b\u3059\u308b\u7ba1\u7406\u30c7\u30d0\u30a4\u30b9\u3092\u8a2d\u5b9a\u3059\u308b]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b: [Windows, Mac]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"Windows: [CD\/DVD_win, FD, USB, \u305d\u306e\u4ed6_win]<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>\n                    <span class=\"synConstant\">\"Mac: [CD\/DVD_mac, \u305d\u306e\u4ed6_mac]\"<\/span>)\ncol_tree_input = st.text_area(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08\u4e0a\u5074\u306b\u8868\u793a\uff09\"<\/span>, value=default_col_tree, height=<span class=\"synConstant\">150<\/span>)\n\n<span class=\"synStatement\">if<\/span> st.button(<span class=\"synConstant\">\"Excel \u4f5c\u6210\"<\/span>):\n    <span class=\"synStatement\">try<\/span>:\n        \n        row_adj = parse_adj_list(row_tree_input)\n        <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> row_adj:\n            row_tree_raw = build_directed_tree(row_adj, <span class=\"synConstant\">\"r\"<\/span>)\n            dummy_row = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n            dummy_row.children = row_tree_raw.children  \n            counter_row = [<span class=\"synConstant\">0<\/span>]\n            max_level_row_holder = [-<span class=\"synConstant\">1<\/span>]\n            assign_positions(dummy_row, -<span class=\"synConstant\">1<\/span>, counter_row, max_level_row_holder)\n            row_max_depth = max_level_row_holder[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n            n_row_leaves = counter_row[<span class=\"synConstant\">0<\/span>]\n            row_tree_display = dummy_row\n            row_global = <span class=\"synIdentifier\">True<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            row_root_key = row_tree_input.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n            row_tree_raw = build_directed_tree(row_adj, row_root_key)\n            counter_row = [<span class=\"synConstant\">0<\/span>]\n            max_level_row_holder = [<span class=\"synConstant\">0<\/span>]\n            assign_positions(row_tree_raw, <span class=\"synConstant\">0<\/span>, counter_row, max_level_row_holder)\n            row_max_depth = max_level_row_holder[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n            n_row_leaves = counter_row[<span class=\"synConstant\">0<\/span>]\n            row_tree_display = row_tree_raw\n            row_global = <span class=\"synIdentifier\">False<\/span>\n\n        \n        col_adj = parse_adj_list(col_tree_input)\n        <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> col_adj:\n            col_tree_raw = build_directed_tree(col_adj, <span class=\"synConstant\">\"r\"<\/span>)\n            dummy_col = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n            dummy_col.children = col_tree_raw.children  \n            counter_col = [<span class=\"synConstant\">0<\/span>]\n            max_level_col_holder = [-<span class=\"synConstant\">1<\/span>]\n            assign_positions(dummy_col, -<span class=\"synConstant\">1<\/span>, counter_col, max_level_col_holder)\n            col_max_depth = max_level_col_holder[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n            n_col_leaves = counter_col[<span class=\"synConstant\">0<\/span>]\n            col_tree_display = dummy_col\n            col_global = <span class=\"synIdentifier\">True<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            st.error(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u30b0\u30ed\u30fc\u30d0\u30eb\u30eb\u30fc\u30c8 'r' \u3092\u542b\u3080\u5f62\u5f0f\u3067\u5165\u529b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span>)\n            st.stop()\n        \n        \n        row_header_width = row_max_depth        \n        col_header_height = col_max_depth        \n        data_rows = n_row_leaves    \n        data_cols = n_col_leaves    \n        total_rows = col_header_height + data_rows\n        total_cols = row_header_width + data_cols\n        \n        output = io.BytesIO()\n        workbook = xlsxwriter.Workbook(output, {<span class=\"synConstant\">'in_memory'<\/span>: <span class=\"synIdentifier\">True<\/span>})\n        worksheet = workbook.add_worksheet(<span class=\"synConstant\">\"TreeStructure\"<\/span>)\n        \n        header_format = workbook.add_format({\n            <span class=\"synConstant\">'align'<\/span>: <span class=\"synConstant\">'center'<\/span>,\n            <span class=\"synConstant\">'valign'<\/span>: <span class=\"synConstant\">'vcenter'<\/span>,\n            <span class=\"synConstant\">'border'<\/span>: <span class=\"synConstant\">1<\/span>,\n            <span class=\"synConstant\">'text_wrap'<\/span>: <span class=\"synIdentifier\">True<\/span>\n        })\n        \n        <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_cols):\n            worksheet.set_column(c, c, <span class=\"synConstant\">15<\/span>)\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_rows):\n            worksheet.set_row(r, <span class=\"synConstant\">25<\/span>)\n        \n        \n        <span class=\"synStatement\">if<\/span> row_header_width &gt; <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">and<\/span> col_header_height &gt; <span class=\"synConstant\">0<\/span>:\n            <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(row_header_width):\n                worksheet.write(<span class=\"synConstant\">0<\/span>, c, <span class=\"synConstant\">\"A1\/B1\"<\/span> <span class=\"synStatement\">if<\/span> c == <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">else<\/span> f<span class=\"synConstant\">\"B{c+1}\"<\/span>, header_format)\n            <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, col_header_height):\n                worksheet.write(r, <span class=\"synConstant\">0<\/span>, f<span class=\"synConstant\">\"A{r+1}\"<\/span>, header_format)\n        \n        \n        col_ranges = ( \n            [r <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> col_tree_display.children <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> collect_col_header_ranges(child, col_max_depth)]\n            <span class=\"synStatement\">if<\/span> col_global <span class=\"synStatement\">else<\/span> collect_col_header_ranges(col_tree_display, col_max_depth)\n        )\n        <span class=\"synStatement\">for<\/span> top, left, bottom, right, label <span class=\"synStatement\">in<\/span> col_ranges:\n            abs_top = top\n            abs_bottom = bottom\n            abs_left = left + row_header_width\n            abs_right = right + row_header_width\n            <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                worksheet.write(abs_top, abs_left, label, header_format)\n            <span class=\"synStatement\">else<\/span>:\n                worksheet.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        \n        row_ranges = (\n            [r <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> row_tree_display.children <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> collect_row_header_ranges(child, row_header_width)]\n            <span class=\"synStatement\">if<\/span> row_global <span class=\"synStatement\">else<\/span> collect_row_header_ranges(row_tree_display, row_header_width)\n        )\n        <span class=\"synStatement\">for<\/span> top, left, bottom, right, label <span class=\"synStatement\">in<\/span> row_ranges:\n            abs_top = top + col_header_height\n            abs_bottom = bottom + col_header_height\n            abs_left = left\n            abs_right = right\n            <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                worksheet.write(abs_top, abs_left, label, header_format)\n            <span class=\"synStatement\">else<\/span>:\n                worksheet.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        \n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(col_header_height, total_rows):\n            <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(row_header_width, total_cols):\n                worksheet.write(r, c, <span class=\"synConstant\">\"\"<\/span>, header_format)\n\n        \n        sheet_row = workbook.add_worksheet(<span class=\"synConstant\">\"row_index\"<\/span>)\n        sheet_col = workbook.add_worksheet(<span class=\"synConstant\">\"col_index\"<\/span>)\n        sheet_row.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, row_tree_input, header_format)\n        sheet_col.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, col_tree_input, header_format)\n        \n        workbook.close()\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        st.success(<span class=\"synConstant\">\"Excel\u30d5\u30a1\u30a4\u30eb\u304c\u751f\u6210\u3055\u308c\u307e\u3057\u305f\u3002\"<\/span>)\n        st.download_button(\n            label=<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"tree_structure.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n        \n        \n        row_dot = tree_to_dot_format(row_tree_display, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n        col_dot = tree_to_dot_format(col_tree_display, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n        st.subheader(<span class=\"synConstant\">\"\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz)\"<\/span>)\n        st.graphviz_chart(row_dot)\n        st.subheader(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz)\"<\/span>)\n        st.graphviz_chart(col_dot)\n        \n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        st.error(f<span class=\"synConstant\">\"\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n<\/pre>\n<h2 id=\"\u30c4\u30fc\u30eb-2-\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb\">\u30c4\u30fc\u30eb 2: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb<\/h2>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144821.png\" width=\"1200\" height=\"227\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 5. \u5dee\u5206\u306e Slack \u3078\u306e\u901a\u77e5\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144837.png\" width=\"1200\" height=\"254\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 6. \u5909\u66f4\u524d\u306e\u8868\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144854.png\" width=\"1200\" height=\"256\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 7. \u5909\u66f4\u5f8c\u306e\u8868\uff08\u8d64\u3044\u6587\u5b57\u304c\u5dee\u5206\uff09\u3002<\/p>\n<h3 id=\"\u4f7f\u3044\u65b9\">\u4f7f\u3044\u65b9<\/h3>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">pytest excel_validation.py<\/pre>\n<h3 id=\"\u51e6\u7406\u306e\u6982\u8981-1\">\u51e6\u7406\u306e\u6982\u8981<\/h3>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">Step 1. Excel\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u69cb\u7bc9\u3002\nStep 2. \u8aad\u307f\u8fbc\u3093\u30602\u3064\u306eExcel\u30d5\u30a1\u30a4\u30eb\u306e\u30b7\u30fc\u30c8\u5185\u5bb9\uff08\u884c\u6570\u30fb\u5217\u6570\uff09\u304c\u4e00\u81f4\u3059\u308b\u304b\u3092\u78ba\u8a8d\u3057\u3001\u5404\u30bb\u30eb\u306b\u3064\u3044\u3066\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4e0d\u8981\u306a\u90e8\u5206\u3092\u9664\u53bb\u3057\u305f\u4e0a\u3067\u5024\u304c\u4e00\u81f4\u3057\u3066\u3044\u308b\u304b\u3092\u500b\u5225\u306b\u691c\u8a3c\u3002\nStep 3. \u5404\u30bb\u30eb\u306e\u6bd4\u8f03\u7d50\u679c\u306b\u57fa\u3065\u3044\u3066\u3001\u671f\u5f85\u3055\u308c\u308b\u5024\u3068\u5b9f\u969b\u306e\u5024\u304c\u4e00\u81f4\u3057\u3066\u3044\u308b\u304b\u3069\u3046\u304b\u306e\u30c6\u30b9\u30c8\u3092\u5b9f\u65bd\u3057\u3001\u4e0d\u4e00\u81f4\u304c\u3042\u308c\u3070\u8a73\u7d30\u306a\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u51fa\u529b\u3057\u3066\u30c6\u30b9\u30c8\u3092\u5931\u6557\u3068\u3059\u308b\u3002\nStep 4. Slack \u306b\u901a\u77e5\u3002<\/pre>\n<h3 id=\"excel_validationpy\">excel_validation.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> pytest\n<span class=\"synPreProc\">import<\/span> requests\n<span class=\"synPreProc\">import<\/span> re\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">auto_detect_levels<\/span>(uploaded_file, max_levels=<span class=\"synConstant\">5<\/span>, row_prefix=<span class=\"synIdentifier\">None<\/span>, col_prefix=<span class=\"synIdentifier\">None<\/span>):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u306e\u30b7\u30fc\u30c8 \"TreeStructure\" \u304b\u3089\u5de6\u4e0a\u30d6\u30ed\u30c3\u30af\u3092\u8aad\u307f\u8fbc\u307f\u3001<\/span>\n<span class=\"synConstant\">    \u884c\u30fb\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u3092\u691c\u51fa\u3057\u3066 DataFrame \u3092\u8fd4\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u623b\u308a\u5024: (index_levels, header_levels, df)<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    uploaded_file.seek(<span class=\"synConstant\">0<\/span>)\n    df_raw = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>,\n                           engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n    n_rows, n_cols = df_raw.shape\n\n    col_pattern = re.compile(<span class=\"synConstant\">r\"^(B\\d+|A1\/B1)$\"<\/span>)\n    index_levels = <span class=\"synConstant\">0<\/span>\n    <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_cols):\n        cell_value = df_raw.iloc[<span class=\"synConstant\">0<\/span>, c]\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> col_pattern.match(cell_value.strip()):\n            index_levels += <span class=\"synConstant\">1<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            <span class=\"synStatement\">break<\/span>\n\n    row_pattern = re.compile(<span class=\"synConstant\">r\"^(A\\d+|A1\/B1)$\"<\/span>)\n    header_levels = <span class=\"synConstant\">0<\/span>\n    <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_rows):\n        cell_value = df_raw.iloc[r, <span class=\"synConstant\">0<\/span>]\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> row_pattern.match(cell_value.strip()):\n            header_levels += <span class=\"synConstant\">1<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            <span class=\"synStatement\">break<\/span>\n\n    <span class=\"synStatement\">if<\/span> index_levels == <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">or<\/span> header_levels == <span class=\"synConstant\">0<\/span>:\n        <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"Excel\u30d5\u30a1\u30a4\u30eb\u306e\u5de6\u4e0a\u4ea4\u5dee\u90e8\u304b\u3089\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u3092\u691c\u51fa\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    uploaded_file.seek(<span class=\"synConstant\">0<\/span>)\n    <span class=\"synStatement\">try<\/span>:\n        df = pd.read_excel(\n            uploaded_file,\n            sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>,\n            header=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(header_levels)),\n            index_col=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(index_levels)),\n            engine=<span class=\"synConstant\">\"openpyxl\"<\/span>\n        )\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(f<span class=\"synConstant\">\"Excel\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n\n    \n    idx_names = df.index.names\n    col_names = df.columns.names\n    <span class=\"synStatement\">if<\/span> row_prefix <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(row_prefix) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> idx_names <span class=\"synStatement\">if<\/span> name):\n            <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u79f0\u306b\u671f\u5f85\u3059\u308b\u63a5\u982d\u8f9e\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    <span class=\"synStatement\">if<\/span> col_prefix <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(col_prefix) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> col_names <span class=\"synStatement\">if<\/span> name):\n            <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u79f0\u306b\u671f\u5f85\u3059\u308b\u63a5\u982d\u8f9e\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    <span class=\"synStatement\">return<\/span> index_levels, header_levels, df\n\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">format_index<\/span>(idx):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    MultiIndex\uff08\u307e\u305f\u306f\u5358\u5c64\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff09\u306e\u5404\u8981\u7d20\u3092\u6587\u5b57\u5217\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u30bf\u30d7\u30eb\u306e\u5834\u5408\u3001\u5404\u8981\u7d20\u306e\u3046\u3061 \"Unnamed:\" \u3067\u59cb\u307e\u308b\u3082\u306e\u306f\u9664\u5916\u3057\u3001<\/span>\n<span class=\"synConstant\">    \u6b8b\u308a\u306e\u8981\u7d20\u3067 (A2,A5) \u5f62\u5f0f\u306e\u6587\u5b57\u5217\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(idx, <span class=\"synIdentifier\">tuple<\/span>):\n        filtered = [<span class=\"synIdentifier\">str<\/span>(item).strip() <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> idx <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> (<span class=\"synIdentifier\">isinstance<\/span>(item, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> item.startswith(<span class=\"synConstant\">\"Unnamed:\"<\/span>))]\n        <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"(\"<\/span> + <span class=\"synConstant\">\",\"<\/span>.join(filtered) + <span class=\"synConstant\">\")\"<\/span>\n    <span class=\"synStatement\">else<\/span>:\n        <span class=\"synStatement\">return<\/span> f<span class=\"synConstant\">\"({idx})\"<\/span>\n\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">read_excel<\/span>(filename, row_prefix=<span class=\"synIdentifier\">None<\/span>, col_prefix=<span class=\"synIdentifier\">None<\/span>):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    Excel \u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3001\u30c4\u30ea\u30fc\u69cb\u9020\u306b\u57fa\u3065\u304f MultiIndex \u4ed8\u304d DataFrame \u3068\u3057\u3066\u8fd4\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u30b7\u30fc\u30c8 \"row_index\" \u304a\u3088\u3073 \"col_index\" \u306b\u8a18\u8f09\u3055\u308c\u305f\u30c4\u30ea\u30fc\u60c5\u5831\u304b\u3089\u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u6570\u3092<\/span>\n<span class=\"synConstant\">    \u81ea\u52d5\u691c\u51fa\u3057\u3001\u30b7\u30fc\u30c8 \"TreeStructure\" \u306e\u30c7\u30fc\u30bf\u9818\u57df\u306b\u5bfe\u3057\u3066 MultiIndex \u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    \n    <span class=\"synStatement\">with<\/span> <span class=\"synIdentifier\">open<\/span>(filename, <span class=\"synConstant\">'rb'<\/span>) <span class=\"synStatement\">as<\/span> f:\n        _, _, df = auto_detect_levels(f, row_prefix=row_prefix, col_prefix=col_prefix)\n    <span class=\"synStatement\">return<\/span> df\n\n\n\nEXCEL1_FILENAME = <span class=\"synConstant\">'excel1.xlsx'<\/span>\nEXCEL2_FILENAME = <span class=\"synConstant\">'excel2.xlsx'<\/span>\n\n\ndf1 = read_excel(EXCEL1_FILENAME)\ndf2 = read_excel(EXCEL2_FILENAME)\n\n\n<span class=\"synStatement\">assert<\/span> df1.shape == df2.shape, (\n    f<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u306e\u5f62\u72b6\u304c\u4e00\u81f4\u3057\u3066\u3044\u307e\u305b\u3093\u3002 \u30d5\u30a1\u30a4\u30eb1: {df1.shape}, \u30d5\u30a1\u30a4\u30eb2: {df2.shape}\"<\/span>\n)\n\n\n<span class=\"synPreProc\">@<\/span><span class=\"synIdentifier\">pytest.mark.parametrize<\/span>(<span class=\"synConstant\">\"row, col\"<\/span>, [\n    (row, col) <span class=\"synStatement\">for<\/span> row <span class=\"synStatement\">in<\/span> df1.index <span class=\"synStatement\">for<\/span> col <span class=\"synStatement\">in<\/span> df1.columns\n])\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">test_excel_cell<\/span>(row, col):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    Excel \u30d5\u30a1\u30a4\u30eb1 \u3068 Excel \u30d5\u30a1\u30a4\u30eb2 \u306e\u5404\u30bb\u30eb\u306e\u5024\u304c\u4e00\u81f4\u3059\u308b\u304b\u3092\u691c\u8a3c\u3059\u308b\u30c6\u30b9\u30c8\u3067\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08MultiIndex\uff09\u306e\u8981\u7d20\u306f format_index \u3092\u7528\u3044\u3066\u6587\u5b57\u5217\u306b\u5909\u63db\u3057\u51fa\u529b\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    cell1 = df1.loc[row, col]\n    cell2 = df2.loc[row, col]\n    row_str = format_index(row)\n    col_str = format_index(col)\n    <span class=\"synStatement\">assert<\/span> cell1 == cell2, (\n        f<span class=\"synConstant\">\"\u30bb\u30eb\u306e\u4e0d\u4e00\u81f4\u767a\u751f: \u884c {row_str} \u5217 {col_str} \u3067\u3001\"<\/span>\n        f<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb1 \u306e\u5024\u306f '{cell1}'\u3001Excel \u30d5\u30a1\u30a4\u30eb2 \u306e\u5024\u306f '{cell2}' \u3067\u3059\u3002\"<\/span>\n    )\n\n\n<span class=\"synStatement\">if<\/span> __name__ == <span class=\"synConstant\">\"__main__\"<\/span>:\n    pytest.main()\n<\/pre>\n<h3 id=\"conftestpy\">conftest.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> requests\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">slack_notify<\/span>(text):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u6307\u5b9a\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u3092 Slack \u306e Webhook \u7d4c\u7531\u3067\u901a\u77e5\u3059\u308b\u95a2\u6570\u3067\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u203b Webhook URL \u306f\u5b9f\u969b\u306e\u74b0\u5883\u306b\u5408\u308f\u305b\u3066\u9069\u5b9c\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    url = <span class=\"synConstant\">\"https:\/\/hooks.slack.com\/services\/xxx\"<\/span>  \n    payload = {<span class=\"synConstant\">\"text\"<\/span>: text}\n    headers = {<span class=\"synConstant\">\"Content-type\"<\/span>: <span class=\"synConstant\">\"application\/json\"<\/span>}\n    <span class=\"synStatement\">try<\/span>:\n        response = requests.post(url, json=payload, headers=headers)\n        <span class=\"synStatement\">if<\/span> response.status_code != <span class=\"synConstant\">200<\/span>:\n            <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"Slack \u901a\u77e5\u306b\u5931\u6557\u3057\u307e\u3057\u305f\u3002\u30b9\u30c6\u30fc\u30bf\u30b9\u30b3\u30fc\u30c9:\"<\/span>, response.status_code)\n            <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"Response:\"<\/span>, response.text)\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"Slack \u901a\u77e5\u4e2d\u306b\u4f8b\u5916\u767a\u751f:\"<\/span>, e)\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">_extract_error_line<\/span>(report):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30c6\u30b9\u30c8\u30ec\u30dd\u30fc\u30c8\u304b\u3089\u3001\"E\" \u3067\u59cb\u307e\u308b\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u884c\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u8a72\u5f53\u884c\u304c\u306a\u3044\u5834\u5408\u306f\u3001\u6700\u521d\u306e\u30a8\u30e9\u30fc\u884c\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    detailed_error = <span class=\"synIdentifier\">getattr<\/span>(report, <span class=\"synConstant\">\"longreprtext\"<\/span>, <span class=\"synIdentifier\">str<\/span>(report.longrepr)).splitlines()\n    error_line = <span class=\"synIdentifier\">next<\/span>((line <span class=\"synStatement\">for<\/span> line <span class=\"synStatement\">in<\/span> detailed_error <span class=\"synStatement\">if<\/span> line.startswith(<span class=\"synConstant\">\"E\"<\/span>)), detailed_error[<span class=\"synConstant\">0<\/span>])\n    \n    <span class=\"synStatement\">return<\/span> error_line.replace(<span class=\"synConstant\">\"E       AssertionError: \"<\/span>, <span class=\"synConstant\">\"\"<\/span>)\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">pytest_terminal_summary<\/span>(terminalreporter, exitstatus, config):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30c6\u30b9\u30c8\u7d50\u679c\u306e\u6982\u8981\u3092\u307e\u3068\u3081\u3001\u4e0d\u4e00\u81f4\u306e\u30bb\u30eb\u306b\u95a2\u3059\u308b\u30a8\u30e9\u30fc\u5185\u5bb9\u3092 Slack \u3078\u901a\u77e5\u3057\u307e\u3059\u3002<\/span>\n\n<span class=\"synConstant\">    \u30fb\u7dcf\u30c6\u30b9\u30c8\u6570\u3001\u5408\u683c\u4ef6\u6570\u3001\u4e0d\u4e00\u81f4\u4ef6\u6570\u3092\u96c6\u8a08<\/span>\n<span class=\"synConstant\">    \u30fb\u30a8\u30e9\u30fc\u304c\u3042\u308c\u3070\u3001\u5404\u30a8\u30e9\u30fc\u30ec\u30dd\u30fc\u30c8\u304b\u3089 \"E\" \u3067\u59cb\u307e\u308b\u884c\u3092\u62bd\u51fa\u3057\u4e00\u89a7\u5316<\/span>\n<span class=\"synConstant\">    \u30fb\u751f\u6210\u3055\u308c\u305f\u7d50\u679c\u30e1\u30c3\u30bb\u30fc\u30b8\u3092 slack_notify() \u7d4c\u7531\u3067\u9001\u4fe1\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    stats = terminalreporter.stats\n    passed = <span class=\"synIdentifier\">len<\/span>(stats.get(<span class=\"synConstant\">'passed'<\/span>, []))\n    failed = <span class=\"synIdentifier\">len<\/span>(stats.get(<span class=\"synConstant\">'failed'<\/span>, []))\n    total = passed + failed\n\n    result_lines = [\n        <span class=\"synConstant\">\"\u30bb\u30eb\u306e\u5dee\u5206\u306e\u62bd\u51fa\u7d50\u679c:\"<\/span>,\n        f<span class=\"synConstant\">\"\u7dcf\u6570: {total}\"<\/span>,\n        f<span class=\"synConstant\">\"\u3000\u4e00\u81f4: {passed} \u4ef6\"<\/span>,\n        f<span class=\"synConstant\">\"\u3000\u4e0d\u4e00\u81f4: {failed} \u4ef6\"<\/span>,\n        <span class=\"synConstant\">\"\"<\/span>\n    ]\n\n    <span class=\"synStatement\">if<\/span> failed:\n        result_lines.append(<span class=\"synConstant\">\"\u3010\u4e0d\u4e00\u81f4\u3060\u3063\u305f\u30bb\u30eb\u306e\u8a73\u7d30\u3011\"<\/span>)\n        <span class=\"synStatement\">for<\/span> status <span class=\"synStatement\">in<\/span> (<span class=\"synConstant\">'failed'<\/span>, <span class=\"synConstant\">'error'<\/span>):\n            <span class=\"synStatement\">for<\/span> report <span class=\"synStatement\">in<\/span> stats.get(status, []):\n                result_lines.append(_extract_error_line(report))\n\n    message_text = <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>.join(result_lines)\n    slack_notify(message_text)\n<\/pre>\n<h2 id=\"\u30c4\u30fc\u30eb-3-\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3044\u3066\u6839\u4ed8\u304d\u6728\u306e\u5144\u5f1f\u30ce\u30fc\u30c9\u306e\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb\">\u30c4\u30fc\u30eb 3: \u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u304a\u3044\u3066\u6839\u4ed8\u304d\u6728\u306e\u5144\u5f1f\u30ce\u30fc\u30c9\u306e\u4ea4\u63db\u3067\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb<\/h2>\n<p>\u30e6\u30fc\u30b61\u3068\u30e6\u30fc\u30b6\uff12\uff0cWindows \u3068 Mac \u3067\u305d\u308c\u305e\u308c\u9806\u756a\u3092\u4ea4\u63db\u3057\u3001\u300c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u78ba\u8a8d\u300d\u3092\u62bc\u4e0b\u3059\u308b\u3068\u9806\u756a\u304c\u4ea4\u63db\u3057\u307e\u3059 (\u56f3 8, 9, 10\u3092\u53c2\u7167)\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144928.png\" width=\"591\" height=\"819\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 8. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ea4\u63db\u3002\uff08\u672c\u753b\u50cf\u306f\u30c4\u30fc\u30eb\u306e\u753b\u9762\u30ad\u30e3\u30d7\u30c1\u30e3\u306e\u305f\u3081\u3001\u3054\u5229\u7528\u306f\u3067\u304d\u304b\u306d\u307e\u3059\u3002\uff09<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819144951.png\" width=\"1200\" height=\"322\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 9. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u524d\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819145006.png\" width=\"1200\" height=\"320\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 10. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ea4\u63db\u5f8c\u3002<\/p>\n<h3 id=\"\u51e6\u7406\u306e\u6982\u8981-2\">\u51e6\u7406\u306e\u6982\u8981<\/h3>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">Step 1. \u30e6\u30fc\u30b6: UI \u304b\u3089\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3002\nStep 2. \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u300crow_index\u300d\u304a\u3088\u3073\u300ccol_index\u300d\u30b7\u30fc\u30c8\u304b\u3089\u3001\u30c4\u30ea\u30fc\u69cb\u9020\u3092\u793a\u3059\u96a3\u63a5\u30ea\u30b9\u30c8\u5f62\u5f0f\u306e\u30c6\u30ad\u30b9\u30c8\u3092\u8aad\u307f\u8fbc\u307f\u3001\u305d\u306e\u30c6\u30ad\u30b9\u30c8\u3092\u521d\u671f\u5024\u3068\u3057\u3066\u7de8\u96c6\u53ef\u80fd\u306a\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u8868\u793a\u3002\nStep 3. \u30e6\u30fc\u30b6: \u30c4\u30ea\u30fc\u69cb\u9020\u306e\u4fee\u6b63\u3002\nStep 4. \u30e6\u30fc\u30b6: \u69cb\u7bc9\u3055\u308c\u305f\u30c4\u30ea\u30fc\u69cb\u9020\u3092\u753b\u9762\u306b\u8868\u793a\u3055\u308c\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u8996\u899a\u7684\u306b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5185\u5bb9\u3092\u78ba\u8a8d\u53ef\u80fd\u3002\nStep 5. \u5165\u529b\u3055\u308c\u305f\u30c4\u30ea\u30fc\u60c5\u5831\u304c\u671f\u5f85\u3055\u308c\u308b\u30ea\u30fc\u30d5\u306e\u30e9\u30d9\u30eb\u3068\u5408\u81f4\u3057\u3066\u3044\u308b\u304b\u691c\u8a3c\u304c\u884c\u308f\u308c\u3001\u4e0d\u4e00\u81f4\u304c\u3042\u308c\u3070\u5143\u306e\u30c4\u30ea\u30fc\u60c5\u5831\u306b\u30ea\u30bb\u30c3\u30c8\u3059\u308b\u7b49\u306e\u51e6\u7406\u3092\u5b9f\u65bd\u3002\nStep 6. \u5143\u306e\u30c7\u30fc\u30bf\u90e8\u5206\u304b\u3089\u5404\u884c\u30fb\u5404\u5217\u306e\u30e9\u30d9\u30eb\u3092\u62bd\u51fa\u3057\u3001\u30c4\u30ea\u30fc\u69cb\u9020\u306e\u30ea\u30fc\u30d5\u306e\u9806\u5e8f\u3068\u7167\u5408\u3057\u3066\u3001\u65b0\u3057\u3044\u8868\u306e\u30bb\u30eb\u914d\u7f6e\u3092\u6c7a\u5b9a\u3002\nStep 7. \u6c7a\u5b9a\u3055\u308c\u305f\u65b0\u3057\u3044\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u60c5\u5831\u306b\u57fa\u3065\u3044\u3066\u3001\u30bb\u30eb\u306e\u5024\u3084\u30de\u30fc\u30b8\u3059\u3079\u304d\u7bc4\u56f2\u306a\u3069\u306e\u60c5\u5831\u3092\u53cd\u6620\u3055\u305b\u305f\u65b0\u3057\u3044 Excel \u30d5\u30a1\u30a4\u30eb\u3092\u3001\u884c\u30d8\u30c3\u30c0\u30fc\u30fb\u5217\u30d8\u30c3\u30c0\u30fc\u30fb\u30c7\u30fc\u30bf\u9818\u57df\u3059\u3079\u3066\u306b\u7d71\u4e00\u3055\u308c\u305f\u683c\u5b50\u72b6\u306e\u7f6b\u7dda\u3092\u9069\u7528\u3057\u3066\u518d\u751f\u6210\u3057\u307e\u3059\u3002\nStep 8. \u30e6\u30fc\u30b6: \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/pre>\n<h3 id=\"tree_index_rotationpy\">tree_index_rotation.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n<span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> io\n<span class=\"synPreProc\">import<\/span> xlsxwriter\n<span class=\"synPreProc\">import<\/span> math\n<span class=\"synPreProc\">import<\/span> re\n<span class=\"synPreProc\">from<\/span> collections <span class=\"synPreProc\">import<\/span> Counter, defaultdict, deque\n\n<span class=\"synPreProc\">from<\/span> common.tree_utils <span class=\"synPreProc\">import<\/span> (\n    TreeNode, parse_adj_list, build_directed_tree, assign_positions,\n    collect_col_header_ranges, collect_row_header_ranges, tree_to_dot_format,\n    get_leaf_paths\n)\n<span class=\"synPreProc\">from<\/span> common.excel_utils <span class=\"synPreProc\">import<\/span> safe_cell_value\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">get_expected_leaves<\/span>(text):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u96a3\u63a5\u30ea\u30b9\u30c8\u5f62\u5f0f\u30c6\u30ad\u30b9\u30c8\u304b\u3089\u3001\u30c4\u30ea\u30fc\u69cb\u9020\u306e\u5404\u8449\u306e\u30e9\u30d9\u30eb\u306e\u30ea\u30b9\u30c8\u3092\u62bd\u51fa\u3059\u308b\u95a2\u6570<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    adj = parse_adj_list(text)\n    <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> adj:\n        tree_r = build_directed_tree(adj, <span class=\"synConstant\">\"r\"<\/span>)\n        dummy = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n        dummy.children = tree_r.children  \n        counter = [<span class=\"synConstant\">0<\/span>]\n        max_level_holder = [-<span class=\"synConstant\">1<\/span>]\n        assign_positions(dummy, -<span class=\"synConstant\">1<\/span>, counter, max_level_holder)\n        paths = get_leaf_paths(dummy)\n        leaves = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> paths]\n    <span class=\"synStatement\">else<\/span>:\n        first_line = <span class=\"synIdentifier\">next<\/span>((line <span class=\"synStatement\">for<\/span> line <span class=\"synStatement\">in<\/span> text.splitlines() <span class=\"synStatement\">if<\/span> line.strip()), <span class=\"synIdentifier\">None<\/span>)\n        <span class=\"synStatement\">if<\/span> first_line <span class=\"synStatement\">is<\/span> <span class=\"synIdentifier\">None<\/span>:\n            leaves = []\n        <span class=\"synStatement\">else<\/span>:\n            root_key = first_line.split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n            tree = build_directed_tree(adj, root_key)\n            counter = [<span class=\"synConstant\">0<\/span>]\n            max_level_holder = [<span class=\"synConstant\">0<\/span>]\n            assign_positions(tree, <span class=\"synConstant\">0<\/span>, counter, max_level_holder)\n            paths = get_leaf_paths(tree)\n            leaves = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> paths]\n    <span class=\"synStatement\">return<\/span> leaves\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">get_bottom_label<\/span>(index_val):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    MultiIndex \u306e\u5404\u8981\u7d20\uff08\u30bf\u30d7\u30eb\u307e\u305f\u306f\u5358\u4e00\u5024\uff09\u304b\u3089\u3001\u4e0b\u4f4d\uff08\u8449\uff09\u306e\u30e9\u30d9\u30eb\u3092\u62bd\u51fa\u3059\u308b\u95a2\u6570<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(index_val, <span class=\"synIdentifier\">tuple<\/span>):\n        <span class=\"synStatement\">for<\/span> val <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">reversed<\/span>(index_val):\n            <span class=\"synStatement\">if<\/span> pd.notna(val) <span class=\"synStatement\">and<\/span> <span class=\"synIdentifier\">str<\/span>(val).strip() != <span class=\"synConstant\">\"\"<\/span>:\n                <span class=\"synStatement\">return<\/span> <span class=\"synIdentifier\">str<\/span>(val).strip()\n        <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"\"<\/span>\n    <span class=\"synStatement\">else<\/span>:\n        <span class=\"synStatement\">return<\/span> <span class=\"synIdentifier\">str<\/span>(index_val).strip()\n\nst.title(<span class=\"synConstant\">\"\u30c4\u30ea\u30fc\u69cb\u9020\u30a8\u30af\u30bb\u30eb\u306e\u8ef8\u4ea4\u63db\u3067\u30bb\u30eb\u6574\u5408\u6027\u7dad\u6301\u30c4\u30fc\u30eb\"<\/span>)\n\nst.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">\u3010\u524d\u63d0\u3011  <\/span>\n<span class=\"synConstant\">\u672c\u30c4\u30fc\u30eb\u306f\u3001\u30c4\u30ea\u30fc\u69cb\u9020Excel\u751f\u6210\u30c4\u30fc\u30eb\u3067\u4f5c\u6210\u3055\u308c\u305f\u30d5\u30a1\u30a4\u30eb\uff08\u30b7\u30fc\u30c8 \"TreeStructure\"\uff09\u3092\u5bfe\u8c61\u3068\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">\u4f5c\u6210\u6642\u306b\u884c\uff0f\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30c4\u30ea\u30fc\u60c5\u5831\u306f\u30b7\u30fc\u30c8 \"row_index\" \u3068 \"col_index\" \u306b\u4fdd\u5b58\u3055\u308c\u3066\u3044\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">\u3053\u308c\u3089\u306e\u30b7\u30fc\u30c8\u304b\u3089\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7528\u30c6\u30ad\u30b9\u30c8\u3092\u8aad\u307f\u8fbc\u307f\u3001\u7de8\u96c6\u53ef\u80fd\u306a\u30c6\u30ad\u30b9\u30c8\u30a8\u30ea\u30a2\u306b\u53cd\u6620\u3057\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">\u305d\u306e\u5f8c\u3001TreeStructure \u30b7\u30fc\u30c8\u5185\u306e\u30c7\u30fc\u30bf\u9818\u57df\uff08  <\/span>\n<span class=\"synConstant\">\u3000\u5de6\u4e0a\u30bb\u30eb = (\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570+1, \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570+1)  <\/span>\n<span class=\"synConstant\">\u3000\u53f3\u4e0b\u30bb\u30eb = (\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570+n_col_leaves, \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570+n_row_leaves)  <\/span>\n<span class=\"synConstant\">\uff09\u304b\u3089\u6b63\u78ba\u306b\u5024\u3092\u8aad\u307f\u51fa\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">\"\"\"<\/span>)\n\n\nuploaded_file = st.file_uploader(<span class=\"synConstant\">\"\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>])\n<span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n    <span class=\"synStatement\">try<\/span>:\n        df_loaded = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>)\n        n_rows, n_cols = df_loaded.shape\n        col_pattern = re.compile(<span class=\"synConstant\">r\"^(B\\d+|A1\/B1)$\"<\/span>)\n        index_levels = <span class=\"synConstant\">0<\/span>\n        <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_cols):\n            cell_value = df_loaded.iloc[<span class=\"synConstant\">0<\/span>, c]\n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> col_pattern.match(cell_value.strip()):\n                index_levels += <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                <span class=\"synStatement\">break<\/span>\n        row_pattern = re.compile(<span class=\"synConstant\">r\"^(A\\d+|A1\/B1)$\"<\/span>)\n        header_levels = <span class=\"synConstant\">0<\/span>\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_rows):\n            cell_value = df_loaded.iloc[r, <span class=\"synConstant\">0<\/span>]\n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> row_pattern.match(cell_value.strip()):\n                header_levels += <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                <span class=\"synStatement\">break<\/span>\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        st.error(f<span class=\"synConstant\">\"\u81ea\u52d5\u691c\u51fa\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n        st.stop()\n    \n    <span class=\"synStatement\">try<\/span>:\n        row_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"row_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n        col_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"col_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n        <span class=\"synStatement\">if<\/span> row_index_df.empty <span class=\"synStatement\">or<\/span> col_index_df.empty:\n            st.error(<span class=\"synConstant\">\"\u30b7\u30fc\u30c8 row_index \u307e\u305f\u306f col_index \u306e\u5185\u5bb9\u304c\u7a7a\u3067\u3059\u3002\"<\/span>)\n            st.stop()\n        row_tree_text_default = row_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>]\n        col_tree_text_default = col_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>]\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        st.error(f<span class=\"synConstant\">\"row_index \u307e\u305f\u306f col_index \u30b7\u30fc\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n        st.stop()\n    \n    st.write(f<span class=\"synConstant\">\"\u691c\u51fa\u3055\u308c\u305f index_levels (TreeStructure \u4e0a\u90e8\u30bb\u30eb\u6570): {index_levels}\"<\/span>)\n    st.write(f<span class=\"synConstant\">\"\u691c\u51fa\u3055\u308c\u305f header_levels (TreeStructure \u5de6\u90e8\u30bb\u30eb\u6570): {header_levels}\"<\/span>)\n    \n    \n    st.markdown(<span class=\"synConstant\">\"### \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7de8\u96c6\uff08\u6839\u4ed8\u304d\u6728\u60c5\u5831\u306e\u8a18\u8f09\uff09\"<\/span>)\n    st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">\u5404\u9805\u76ee\u306f\u300c\u30ce\u30fc\u30c9: [\u5b50\u30ce\u30fc\u30c9, \u2026]\u300d\u5f62\u5f0f\u3067\u8a18\u8f09\u3057\u3066\u304f\u3060\u3055\u3044\u3002  <\/span>\n<span class=\"synConstant\">\u4f8b\uff1a  <\/span>\n<span class=\"synConstant\">\u2003\u2003r: [\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b]  <\/span>\n<span class=\"synConstant\">\u2003\u2003\u30aa\u30d5\u30e9\u30a4\u30f3\u30c7\u30d0\u30a4\u30b9\u306e\u4f7f\u7528\u3092\u5236\u9650\u3059\u308b: [\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b, \u2026]  <\/span>\n<span class=\"synConstant\">\u2003\u2003\u65b0\u3057\u304f\u52a0\u308f\u3063\u305f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306b\u521d\u56de\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b: [Windows, Mac]  <\/span>\n<span class=\"synConstant\">\u203b \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3082\u540c\u69d8\u3002<\/span>\n<span class=\"synConstant\">\"\"\"<\/span>)\n    new_row_text = st.text_area(<span class=\"synConstant\">\"\u7de8\u96c6\u53ef\u80fd\u306a \u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\"<\/span>, value=row_tree_text_default, key=<span class=\"synConstant\">\"row_text\"<\/span>)\n    new_col_text = st.text_area(<span class=\"synConstant\">\"\u7de8\u96c6\u53ef\u80fd\u306a \u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\"<\/span>, value=col_tree_text_default, key=<span class=\"synConstant\">\"col_text\"<\/span>)\n    \n    new_row_adj = parse_adj_list(new_row_text)\n    new_col_adj = parse_adj_list(new_col_text)\n    \n    \n    <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_row_adj:\n        row_tree_raw = build_directed_tree(new_row_adj, <span class=\"synConstant\">\"r\"<\/span>)\n        dummy_row = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n        dummy_row.children = row_tree_raw.children  \n        counter_row = [<span class=\"synConstant\">0<\/span>]\n        max_level_holder_row = [-<span class=\"synConstant\">1<\/span>]\n        assign_positions(dummy_row, -<span class=\"synConstant\">1<\/span>, counter_row, max_level_holder_row)\n        new_row_tree = dummy_row\n        row_global = <span class=\"synIdentifier\">True<\/span>\n    <span class=\"synStatement\">else<\/span>:\n        new_row_root_key = new_row_text.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n        new_row_tree = build_directed_tree(new_row_adj, new_row_root_key)\n        counter_row = [<span class=\"synConstant\">0<\/span>]\n        max_level_holder_row = [<span class=\"synConstant\">0<\/span>]\n        assign_positions(new_row_tree, <span class=\"synConstant\">0<\/span>, counter_row, max_level_holder_row)\n        row_global = <span class=\"synIdentifier\">False<\/span>\n\n    \n    <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_col_adj:\n        col_tree_raw = build_directed_tree(new_col_adj, <span class=\"synConstant\">\"r\"<\/span>)\n        dummy_col = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n        dummy_col.children = col_tree_raw.children  \n        counter_col = [<span class=\"synConstant\">0<\/span>]\n        max_level_holder_col = [-<span class=\"synConstant\">1<\/span>]\n        assign_positions(dummy_col, -<span class=\"synConstant\">1<\/span>, counter_col, max_level_holder_col)\n        new_col_tree = dummy_col\n        col_global = <span class=\"synIdentifier\">True<\/span>\n    <span class=\"synStatement\">else<\/span>:\n        new_col_root_key = new_col_text.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n        new_col_tree = build_directed_tree(new_col_adj, new_col_root_key)\n        counter_col = [<span class=\"synConstant\">0<\/span>]\n        max_level_holder_col = [<span class=\"synConstant\">0<\/span>]\n        assign_positions(new_col_tree, <span class=\"synConstant\">0<\/span>, counter_col, max_level_holder_col)\n        col_global = <span class=\"synIdentifier\">False<\/span>\n\n    \n    st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz)\"<\/span>)\n    row_dot_before = tree_to_dot_format(new_row_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n    st.graphviz_chart(row_dot_before)\n    st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz)\"<\/span>)\n    col_dot_before = tree_to_dot_format(new_col_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n    st.graphviz_chart(col_dot_before)\n    \n    st.markdown(f<span class=\"synConstant\">\"\u3010\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3011\u30ec\u30d9\u30eb\uff08\u30d8\u30c3\u30c0\u30fc\u884c\u6570\uff09\uff1a{max_level_holder_row[0] + 1}\u3001\u30ea\u30fc\u30d5\u6570\uff1a{counter_row[0]}\"<\/span>)\n    st.markdown(f<span class=\"synConstant\">\"\u3010\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3011\u30ec\u30d9\u30eb\uff08\u30d8\u30c3\u30c0\u30fc\u5217\u6570\uff09\uff1a{max_level_holder_col[0] + 1}\u3001\u30ea\u30fc\u30d5\u6570\uff1a{counter_col[0]}\"<\/span>)\n    \n    new_row_leaf_paths = get_leaf_paths(new_row_tree)\n    new_col_leaf_paths = get_leaf_paths(new_col_tree)\n    orig_total_cells = <span class=\"synIdentifier\">len<\/span>(new_row_leaf_paths) * <span class=\"synIdentifier\">len<\/span>(new_col_leaf_paths)\n    st.markdown(f<span class=\"synConstant\">\"\u691c\u51fa\u3055\u308c\u305f\u30bb\u30eb\u6570\uff08\u884c\u30ea\u30fc\u30d5\u00d7\u5217\u30ea\u30fc\u30d5\uff09\uff1a{orig_total_cells} \u30bb\u30eb\"<\/span>)\n    \n    \n    <span class=\"synStatement\">if<\/span> st.button(<span class=\"synConstant\">\"\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u691c\u8a3c\"<\/span>, key=<span class=\"synConstant\">\"validate_button\"<\/span>):\n        new_row_leaves = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> new_row_leaf_paths]\n        new_col_leaves = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> new_col_leaf_paths]\n        <span class=\"synStatement\">if<\/span> Counter(new_row_leaves) != Counter(get_expected_leaves(new_row_text)):\n            st.error(<span class=\"synConstant\">\"\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u8449\u306e\u30e9\u30d9\u30eb\u304c\u4e0d\u4e00\u81f4\u3067\u3059\u3002\u5143\u306e\u72b6\u614b\u306b\u30ea\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\"<\/span>)\n            st.session_state.validated = <span class=\"synIdentifier\">False<\/span>\n            st.session_state.row_text = row_tree_text_default\n            st.session_state.col_text = col_tree_text_default\n            \n            new_row_adj = parse_adj_list(row_tree_text_default)\n            new_col_adj = parse_adj_list(col_tree_text_default)\n            <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_row_adj:\n                row_tree_raw = build_directed_tree(new_row_adj, <span class=\"synConstant\">\"r\"<\/span>)\n                dummy_row = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n                dummy_row.children = row_tree_raw.children\n                counter_row = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_row = [-<span class=\"synConstant\">1<\/span>]\n                assign_positions(dummy_row, -<span class=\"synConstant\">1<\/span>, counter_row, max_level_holder_row)\n                new_row_tree = dummy_row\n                row_global = <span class=\"synIdentifier\">True<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                new_row_root_key = row_tree_text_default.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n                new_row_tree = build_directed_tree(new_row_adj, new_row_root_key)\n                counter_row = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_row = [<span class=\"synConstant\">0<\/span>]\n                assign_positions(new_row_tree, <span class=\"synConstant\">0<\/span>, counter_row, max_level_holder_row)\n                row_global = <span class=\"synIdentifier\">False<\/span>\n            <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_col_adj:\n                col_tree_raw = build_directed_tree(new_col_adj, <span class=\"synConstant\">\"r\"<\/span>)\n                dummy_col = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n                dummy_col.children = col_tree_raw.children\n                counter_col = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_col = [-<span class=\"synConstant\">1<\/span>]\n                assign_positions(dummy_col, -<span class=\"synConstant\">1<\/span>, counter_col, max_level_holder_col)\n                new_col_tree = dummy_col\n                col_global = <span class=\"synIdentifier\">True<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                new_col_root_key = col_tree_text_default.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n                new_col_tree = build_directed_tree(new_col_adj, new_col_root_key)\n                counter_col = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_col = [<span class=\"synConstant\">0<\/span>]\n                assign_positions(new_col_tree, <span class=\"synConstant\">0<\/span>, counter_col, max_level_holder_col)\n                col_global = <span class=\"synIdentifier\">False<\/span>\n            st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz) [\u30ea\u30bb\u30c3\u30c8]\"<\/span>)\n            row_dot_reset = tree_to_dot_format(new_row_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n            st.graphviz_chart(row_dot_reset)\n            st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz) [\u30ea\u30bb\u30c3\u30c8]\"<\/span>)\n            col_dot_reset = tree_to_dot_format(new_col_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n            st.graphviz_chart(col_dot_reset)\n        <span class=\"synStatement\">elif<\/span> Counter(new_col_leaves) != Counter(get_expected_leaves(new_col_text)):\n            st.error(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u8449\u306e\u30e9\u30d9\u30eb\u304c\u4e0d\u4e00\u81f4\u3067\u3059\u3002\u5143\u306e\u72b6\u614b\u306b\u30ea\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\"<\/span>)\n            st.session_state.validated = <span class=\"synIdentifier\">False<\/span>\n            st.session_state.row_text = row_tree_text_default\n            st.session_state.col_text = col_tree_text_default\n            new_row_adj = parse_adj_list(row_tree_text_default)\n            new_col_adj = parse_adj_list(col_tree_text_default)\n            <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_row_adj:\n                row_tree_raw = build_directed_tree(new_row_adj, <span class=\"synConstant\">\"r\"<\/span>)\n                dummy_row = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n                dummy_row.children = row_tree_raw.children\n                counter_row = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_row = [-<span class=\"synConstant\">1<\/span>]\n                assign_positions(dummy_row, -<span class=\"synConstant\">1<\/span>, counter_row, max_level_holder_row)\n                new_row_tree = dummy_row\n                row_global = <span class=\"synIdentifier\">True<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                new_row_root_key = row_tree_text_default.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n                new_row_tree = build_directed_tree(new_row_adj, new_row_root_key)\n                counter_row = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_row = [<span class=\"synConstant\">0<\/span>]\n                assign_positions(new_row_tree, <span class=\"synConstant\">0<\/span>, counter_row, max_level_holder_row)\n                row_global = <span class=\"synIdentifier\">False<\/span>\n            <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_col_adj:\n                col_tree_raw = build_directed_tree(new_col_adj, <span class=\"synConstant\">\"r\"<\/span>)\n                dummy_col = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n                dummy_col.children = col_tree_raw.children\n                counter_col = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_col = [-<span class=\"synConstant\">1<\/span>]\n                assign_positions(dummy_col, -<span class=\"synConstant\">1<\/span>, counter_col, max_level_holder_col)\n                new_col_tree = dummy_col\n                col_global = <span class=\"synIdentifier\">True<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                new_col_root_key = col_tree_text_default.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n                new_col_tree = build_directed_tree(new_col_adj, new_col_root_key)\n                counter_col = [<span class=\"synConstant\">0<\/span>]\n                max_level_holder_col = [<span class=\"synConstant\">0<\/span>]\n                assign_positions(new_col_tree, <span class=\"synConstant\">0<\/span>, counter_col, max_level_holder_col)\n                col_global = <span class=\"synIdentifier\">False<\/span>\n            st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz) [\u30ea\u30bb\u30c3\u30c8]\"<\/span>)\n            row_dot_reset = tree_to_dot_format(new_row_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n            st.graphviz_chart(row_dot_reset)\n            st.subheader(<span class=\"synConstant\">\"\u73fe\u5728\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30c4\u30ea\u30fc (Graphviz) [\u30ea\u30bb\u30c3\u30c8]\"<\/span>)\n            col_dot_reset = tree_to_dot_format(new_col_tree, hide_dummy=<span class=\"synIdentifier\">True<\/span>)\n            st.graphviz_chart(col_dot_reset)\n        <span class=\"synStatement\">else<\/span>:\n            st.success(<span class=\"synConstant\">\"\u691c\u8a3c\u5b8c\u4e86\u3057\u307e\u3057\u305f\u3002\"<\/span>)\n            st.session_state.validated = <span class=\"synIdentifier\">True<\/span>\n            st.session_state.new_row_tree = new_row_tree\n            st.session_state.new_col_tree = new_col_tree\n            st.session_state.new_row_leaf_paths = new_row_leaf_paths\n            st.session_state.new_col_leaf_paths = new_col_leaf_paths\n\n    \n    <span class=\"synStatement\">if<\/span> st.button(<span class=\"synConstant\">\"\u65b0\u3057\u3044Excel\u30d5\u30a1\u30a4\u30eb\u3092\u751f\u6210\"<\/span>, key=<span class=\"synConstant\">\"create_excel\"<\/span>):\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> st.session_state.get(<span class=\"synConstant\">\"validated\"<\/span>, <span class=\"synIdentifier\">False<\/span>):\n            st.error(<span class=\"synConstant\">\"\u307e\u305a\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5185\u5bb9\u306e\u691c\u8a3c\u3092\u884c\u3063\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span>)\n            st.stop()\n        new_total_cells = <span class=\"synIdentifier\">len<\/span>(st.session_state.new_row_leaf_paths) * <span class=\"synIdentifier\">len<\/span>(st.session_state.new_col_leaf_paths)\n        <span class=\"synStatement\">if<\/span> orig_total_cells != new_total_cells:\n            st.error(f<span class=\"synConstant\">\"\u518d\u69cb\u7bc9\u3055\u308c\u305f\u30bb\u30eb\u6570 ({new_total_cells}) \u3068\u5143\u306e\u30bb\u30eb\u6570 ({orig_total_cells}) \u304c\u4e00\u81f4\u3057\u307e\u305b\u3093\u3002\"<\/span>)\n            st.stop()\n        \n        \n        old_row_labels = []\n        <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(header_levels, df_loaded.shape[<span class=\"synConstant\">0<\/span>]):\n            row_header_tuple = <span class=\"synIdentifier\">tuple<\/span>(df_loaded.iloc[i, <span class=\"synConstant\">0<\/span>:index_levels])\n            old_row_labels.append(get_bottom_label(row_header_tuple))\n        old_col_labels = []\n        <span class=\"synStatement\">for<\/span> j <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(index_levels, df_loaded.shape[<span class=\"synConstant\">1<\/span>]):\n            col_header_tuple = <span class=\"synIdentifier\">tuple<\/span>(df_loaded.iloc[<span class=\"synConstant\">0<\/span>:header_levels, j])\n            old_col_labels.append(get_bottom_label(col_header_tuple))\n        \n        row_positions = defaultdict(deque)\n        <span class=\"synStatement\">for<\/span> i, lab <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">enumerate<\/span>(old_row_labels):\n            row_positions[lab].append(i)\n        col_positions = defaultdict(deque)\n        <span class=\"synStatement\">for<\/span> j, lab <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">enumerate<\/span>(old_col_labels):\n            col_positions[lab].append(j)\n        new_row_labels = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> st.session_state.new_row_leaf_paths]\n        new_col_labels = [path[-<span class=\"synConstant\">1<\/span>] <span class=\"synStatement\">for<\/span> path <span class=\"synStatement\">in<\/span> st.session_state.new_col_leaf_paths]\n        new_row_mapping = []\n        <span class=\"synStatement\">for<\/span> lab <span class=\"synStatement\">in<\/span> new_row_labels:\n            <span class=\"synStatement\">if<\/span> row_positions[lab]:\n                new_row_mapping.append(row_positions[lab].popleft())\n            <span class=\"synStatement\">else<\/span>:\n                new_row_mapping.append(<span class=\"synIdentifier\">None<\/span>)\n        new_col_mapping = []\n        <span class=\"synStatement\">for<\/span> lab <span class=\"synStatement\">in<\/span> new_col_labels:\n            <span class=\"synStatement\">if<\/span> col_positions[lab]:\n                new_col_mapping.append(col_positions[lab].popleft())\n            <span class=\"synStatement\">else<\/span>:\n                new_col_mapping.append(<span class=\"synIdentifier\">None<\/span>)\n        \n        new_data = []\n        <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synIdentifier\">len<\/span>(new_row_mapping)):\n            row_vals = []\n            <span class=\"synStatement\">for<\/span> j <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synIdentifier\">len<\/span>(new_col_mapping)):\n                r_idx = new_row_mapping[i]\n                c_idx = new_col_mapping[j]\n                <span class=\"synStatement\">if<\/span> r_idx <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span> <span class=\"synStatement\">and<\/span> c_idx <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n                    \n                    row_vals.append(safe_cell_value(df_loaded.iloc[r_idx + header_levels, c_idx + index_levels]))\n                <span class=\"synStatement\">else<\/span>:\n                    row_vals.append(<span class=\"synConstant\">\"\"<\/span>)\n            new_data.append(row_vals)\n        \n        top_left_width  = max_level_holder_row[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n        top_left_height = max_level_holder_col[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n        \n        output = io.BytesIO()\n        workbook = xlsxwriter.Workbook(output, {<span class=\"synConstant\">'nan_inf_to_errors'<\/span>: <span class=\"synIdentifier\">True<\/span>})\n        ws = workbook.add_worksheet(<span class=\"synConstant\">\"TreeStructure\"<\/span>)\n        \n        header_format = workbook.add_format({\n            <span class=\"synConstant\">'align'<\/span>: <span class=\"synConstant\">'center'<\/span>,\n            <span class=\"synConstant\">'valign'<\/span>: <span class=\"synConstant\">'vcenter'<\/span>,\n            <span class=\"synConstant\">'border'<\/span>: <span class=\"synConstant\">1<\/span>,\n            <span class=\"synConstant\">'text_wrap'<\/span>: <span class=\"synIdentifier\">True<\/span>\n        })\n        total_cols = top_left_width + <span class=\"synIdentifier\">len<\/span>(new_row_mapping)\n        total_rows = top_left_height + <span class=\"synIdentifier\">len<\/span>(new_col_mapping)\n        <span class=\"synStatement\">for<\/span> col <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_cols):\n            ws.set_column(col, col, <span class=\"synConstant\">15<\/span>)\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_rows):\n            ws.set_row(r, <span class=\"synConstant\">25<\/span>)\n        \n        <span class=\"synStatement\">if<\/span> top_left_width &gt; <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">and<\/span> top_left_height &gt; <span class=\"synConstant\">0<\/span>:\n            <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(top_left_width):\n                ws.write(<span class=\"synConstant\">0<\/span>, c, <span class=\"synConstant\">\"A1\/B1\"<\/span> <span class=\"synStatement\">if<\/span> c == <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">else<\/span> f<span class=\"synConstant\">\"B{c+1}\"<\/span>, header_format)\n            <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, top_left_height):\n                ws.write(r, <span class=\"synConstant\">0<\/span>, f<span class=\"synConstant\">\"A{r+1}\"<\/span>, header_format)\n        \n        <span class=\"synStatement\">if<\/span> st.session_state.new_col_tree <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n            <span class=\"synStatement\">if<\/span> col_global:\n                col_ranges = []\n                <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> st.session_state.new_col_tree.children:\n                    col_ranges.extend(collect_col_header_ranges(child, top_left_height))\n            <span class=\"synStatement\">else<\/span>:\n                col_ranges = collect_col_header_ranges(st.session_state.new_col_tree, top_left_height)\n            <span class=\"synStatement\">for<\/span> (top, left, bottom, right, label) <span class=\"synStatement\">in<\/span> col_ranges:\n                abs_top = top\n                abs_bottom = bottom\n                abs_left = left + top_left_width\n                abs_right = right + top_left_width\n                <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                    ws.write(abs_top, abs_left, label, header_format)\n                <span class=\"synStatement\">else<\/span>:\n                    ws.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        <span class=\"synStatement\">if<\/span> st.session_state.new_row_tree <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n            <span class=\"synStatement\">if<\/span> row_global:\n                row_ranges = []\n                <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> st.session_state.new_row_tree.children:\n                    row_ranges.extend(collect_row_header_ranges(child, top_left_width))\n            <span class=\"synStatement\">else<\/span>:\n                row_ranges = collect_row_header_ranges(st.session_state.new_row_tree, top_left_width)\n            <span class=\"synStatement\">for<\/span> (top, left, bottom, right, label) <span class=\"synStatement\">in<\/span> row_ranges:\n                abs_top = top + top_left_height\n                abs_bottom = bottom + top_left_height\n                abs_left = left\n                abs_right = right\n                <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                    ws.write(abs_top, abs_left, label, header_format)\n                <span class=\"synStatement\">else<\/span>:\n                    ws.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        <span class=\"synStatement\">for<\/span> i, row_vals <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">enumerate<\/span>(new_data):\n            <span class=\"synStatement\">for<\/span> j, cell <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">enumerate<\/span>(row_vals):\n                ws.write(top_left_height + i, top_left_width + j, cell, header_format)\n        \n        ws_row = workbook.add_worksheet(<span class=\"synConstant\">\"row_index\"<\/span>)\n        ws_col = workbook.add_worksheet(<span class=\"synConstant\">\"col_index\"<\/span>)\n        \n        ws_row.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, new_row_text, header_format)\n        ws_col.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, new_col_text, header_format)\n        \n        workbook.close()\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        st.download_button(\n            label=<span class=\"synConstant\">\"\u66f4\u65b0\u3055\u308c\u305fExcel\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"reconfigured_tree_structure.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n<\/pre>\n<h2 id=\"\u30c4\u30fc\u30eb-4-\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u3068\u30b7\u30f3\u30b0\u30eb\u3067\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb\">\u30c4\u30fc\u30eb 4: \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u3068\u30b7\u30f3\u30b0\u30eb\u3067\u76f8\u4e92\u5909\u63db\u3059\u308b\u30c4\u30fc\u30eb<\/h2>\n<p>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30b7\u30f3\u30b0\u30eb\u3068\u30c4\u30ea\u30fc\u306b\u76f8\u4e92\u306b\u5909\u63db\u3057\u307e\u3059 (\u56f3 11 \u3068 12)\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819145032.png\" width=\"896\" height=\"565\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 11. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u304b\u3089\u30b7\u30f3\u30b0\u30eb\u306b\u5909\u63db\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819145051.png\" width=\"1200\" height=\"261\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 12. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30b7\u30f3\u30b0\u30eb\u304b\u3089\u30c4\u30ea\u30fc\u306b\u518d\u5909\u63db\u3002<\/p>\n<p><span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><img decoding=\"async\" src=\"https:\/\/cdn-ak.f.st-hatena.com\/images\/fotolife\/m\/mo-oki\/20250819\/20250819145105.png\" width=\"624\" height=\"431\" loading=\"lazy\" title=\"\" class=\"hatena-fotolife\" itemprop=\"image\"\/><\/span><br \/>\n\u56f3 13. \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5909\u63db\u306e UI\u3002\uff08\u672c\u753b\u50cf\u306f\u30c4\u30fc\u30eb\u306e\u753b\u9762\u30ad\u30e3\u30d7\u30c1\u30e3\u306e\u305f\u3081\u3001\u3054\u5229\u7528\u306f\u3067\u304d\u304b\u306d\u307e\u3059\u3002\uff09<\/p>\n<h3 id=\"\u51e6\u7406\u306e\u6982\u8981-3\">\u51e6\u7406\u306e\u6982\u8981<\/h3>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">Step 1. \u30e6\u30fc\u30b6: UI \u304b\u3089\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3002\nStep 2. \u30e6\u30fc\u30b6: \u300cTreeIndex \u2192 SingleIndex\u300d\u3068\u300cSingleIndex \u2192 TreeIndex\u300d\u306e\u3069\u3061\u3089\u304b\u3092\u9078\u629e (\u56f3 13 \u3092\u53c2\u7167)\u3002\n  Step 2-1. \u5909\u63db\u30e2\u30fc\u30c9\u304c\u300cTreeIndex \u2192 SingleIndex\u300d\u306e\u5834\u5408\n    Step 2-1-1. \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u300cTreeStructure\u300d\u30b7\u30fc\u30c8\u3092\u8aad\u307f\u51fa\u3057\u3001\u5de6\u4e0a\u30d6\u30ed\u30c3\u30af\u306b\u8a18\u8f09\u3055\u308c\u305f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u3092\u81ea\u52d5\u691c\u51fa\u3002\n    Step 2-1-2. \u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u5909\u63db\u3002\n  Step 2-2. \u5909\u63db\u30e2\u30fc\u30c9\u304c\u300cSingleIndex \u2192 TreeIndex\u300d\u306e\u5834\u5408\n    Step 2-2-1. \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305fExcel\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u30b7\u30f3\u30b0\u30eb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5f62\u5f0f\u3067\u30c7\u30fc\u30bf\u304c\u8aad\u307f\u8fbc\u307e\u308c\u308b\u3068\u3068\u3082\u306b\u3001\u4fdd\u5b58\u3055\u308c\u305f\u30c4\u30ea\u30fc\u60c5\u5831\u30c6\u30ad\u30b9\u30c8\u3092\u53d6\u5f97\n    Step 2-2-2. \u518d\u69cb\u7bc9\u3055\u308c\u305f\u884c\u3068\u5217\u306e\u30c4\u30ea\u30fc\u69cb\u9020\u306e\u30ea\u30fc\u30d5\u6570\u306e\u7a4d\u3068\u3001\u5143\u306e\u30c7\u30fc\u30bf\u90e8\u306e\u30bb\u30eb\u6570\u3092\u7167\u5408\u3057\u3001\u4e0d\u4e00\u81f4\u304c\u3042\u308c\u3070\u30e6\u30fc\u30b6\u30fc\u306b\u30a8\u30e9\u30fc\u3092\u8868\u793a\u3057\u3066\u5143\u306e\u72b6\u614b\u306b\u30ea\u30bb\u30c3\u30c8\u3059\u308b\u51e6\u7406\u304c\u5b9f\u884c\u3002\n    Step 2-2-3. \u554f\u984c\u306a\u3051\u308c\u3070\u3001\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u5909\u63db\u3002\nStep 3. \u30e6\u30fc\u30b6: \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3002<\/pre>\n<h3 id=\"treeindex_singleindex_conversionpy\">treeindex_singleindex_conversion.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n<span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> io\n<span class=\"synPreProc\">import<\/span> xlsxwriter\n<span class=\"synPreProc\">import<\/span> re\n<span class=\"synPreProc\">from<\/span> collections <span class=\"synPreProc\">import<\/span> Counter, defaultdict, deque\n<span class=\"synPreProc\">from<\/span> common.tree_utils <span class=\"synPreProc\">import<\/span> (\n    TreeNode, parse_adj_list, build_directed_tree, assign_positions,\n    collect_col_header_ranges, collect_row_header_ranges\n)\n<span class=\"synPreProc\">from<\/span> common.excel_utils <span class=\"synPreProc\">import<\/span> auto_detect_levels, write_left_top_block\n\nconversion_mode = st.radio(<span class=\"synConstant\">\"\u5909\u63db\u30e2\u30fc\u30c9\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, \n                           [<span class=\"synConstant\">\"TreeIndex \u2192 SingleIndex\"<\/span>, <span class=\"synConstant\">\"SingleIndex \u2192 TreeIndex\"<\/span>])\n\n\n<span class=\"synStatement\">if<\/span> conversion_mode == <span class=\"synConstant\">\"TreeIndex \u2192 SingleIndex\"<\/span>:\n    st.header(<span class=\"synConstant\">\"TreeIndex \u2192 SingleIndex \u5909\u63db\"<\/span>)\n    st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u203b \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b Excel \u30d5\u30a1\u30a4\u30eb\u306f\u3001  <\/span>\n<span class=\"synConstant\">\u3000\u3000\u3000\u30b7\u30fc\u30c8 \"TreeStructure\" \u306b\u30c4\u30ea\u30fc\u69cb\u9020\uff08MultiIndex\uff09\u304c\u8a18\u8f09\u3055\u308c\u3001  <\/span>\n<span class=\"synConstant\">       \u30b7\u30fc\u30c8 \"row_index\" \u3068 \"col_index\" \u306b\u30c4\u30ea\u30fc\u60c5\u5831\u30c6\u30ad\u30b9\u30c8\u304c\u4fdd\u5b58\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>)\n    uploaded_file = st.file_uploader(<span class=\"synConstant\">\"TreeIndex \u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>], key=<span class=\"synConstant\">\"tree_to_single\"<\/span>)\n    <span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">try<\/span>:\n            row_levels, col_levels, df = auto_detect_levels(uploaded_file, max_levels=<span class=\"synConstant\">5<\/span>, row_prefix=<span class=\"synConstant\">\"A\"<\/span>, col_prefix=<span class=\"synConstant\">\"B\"<\/span>)\n            st.success(f<span class=\"synConstant\">\"\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u691c\u51fa\u306b\u6210\u529f\uff01 \u884c\u5074: {row_levels} \u5c64\u3001\u5217\u5074: {col_levels} \u5c64\"<\/span>)\n        <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n            st.error(f<span class=\"synConstant\">\"\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u691c\u51fa\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n            st.stop()\n\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(df.index, pd.MultiIndex):\n            df.index = df.index.map(<span class=\"synStatement\">lambda<\/span> x: <span class=\"synConstant\">\";\"<\/span>.join([<span class=\"synIdentifier\">str<\/span>(item).strip() <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> x <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">str<\/span>(item).strip().startswith(<span class=\"synConstant\">\"Unnamed\"<\/span>)]))\n        <span class=\"synStatement\">else<\/span>:\n            df.index = df.index.astype(<span class=\"synIdentifier\">str<\/span>)\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(df.columns, pd.MultiIndex):\n            df.columns = df.columns.map(<span class=\"synStatement\">lambda<\/span> x: <span class=\"synConstant\">\";\"<\/span>.join([<span class=\"synIdentifier\">str<\/span>(item).strip() <span class=\"synStatement\">for<\/span> item <span class=\"synStatement\">in<\/span> x <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">str<\/span>(item).strip().startswith(<span class=\"synConstant\">\"Unnamed\"<\/span>)]))\n        <span class=\"synStatement\">else<\/span>:\n            df.columns = df.columns.astype(<span class=\"synIdentifier\">str<\/span>)\n\n        output = io.BytesIO()\n        <span class=\"synStatement\">with<\/span> pd.ExcelWriter(output, engine=<span class=\"synConstant\">\"xlsxwriter\"<\/span>) <span class=\"synStatement\">as<\/span> writer:\n            df.to_excel(writer, index=<span class=\"synIdentifier\">True<\/span>, sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>)\n            <span class=\"synStatement\">try<\/span>:\n                row_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"row_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>,\n                                             engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n                col_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"col_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>,\n                                             engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n                row_index_text = row_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>] <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> row_index_df.empty <span class=\"synStatement\">else<\/span> <span class=\"synConstant\">\"\"<\/span>\n                col_index_text = col_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>] <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> col_index_df.empty <span class=\"synStatement\">else<\/span> <span class=\"synConstant\">\"\"<\/span>\n            <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n                row_index_text = <span class=\"synConstant\">\"\"<\/span>\n                col_index_text = <span class=\"synConstant\">\"\"<\/span>\n            \n            fmt = writer.book.add_format({<span class=\"synConstant\">'text_wrap'<\/span>: <span class=\"synIdentifier\">True<\/span>, <span class=\"synConstant\">'align'<\/span>: <span class=\"synConstant\">'left'<\/span>, <span class=\"synConstant\">'valign'<\/span>: <span class=\"synConstant\">'top'<\/span>, <span class=\"synConstant\">'border'<\/span>: <span class=\"synConstant\">1<\/span>})\n            \n            ws_row = writer.book.add_worksheet(<span class=\"synConstant\">\"row_index\"<\/span>)\n            ws_col = writer.book.add_worksheet(<span class=\"synConstant\">\"col_index\"<\/span>)\n            ws_row.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, row_index_text, fmt)\n            ws_col.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, col_index_text, fmt)\n\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        st.download_button(\n            label=<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"converted_single_index.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n\n\n<span class=\"synStatement\">elif<\/span> conversion_mode == <span class=\"synConstant\">\"SingleIndex \u2192 TreeIndex\"<\/span>:\n    st.header(<span class=\"synConstant\">\"SingleIndex \u2192 TreeIndex \u5909\u63db\"<\/span>)\n    st.markdown(<span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u203b \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u308b Excel \u30d5\u30a1\u30a4\u30eb\u306f\u3001\u884c\u30fb\u5217\u3068\u3082\u306b\u30b7\u30f3\u30b0\u30eb\u30fb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\uff08\u30bb\u30df\u30b3\u30ed\u30f3 (;) \u533a\u5207\u308a\uff09  <\/span>\n<span class=\"synConstant\">    \u3067\u3042\u308a\u3001\u3055\u3089\u306b\u30b7\u30fc\u30c8 \"row_index\" \u3068 \"col_index\" \u306b\u5143\u306e\u30c4\u30ea\u30fc\u69cb\u9020\u30c6\u30ad\u30b9\u30c8\u304c\u4fdd\u5b58\u3055\u308c\u3066\u3044\u307e\u3059\u3002  <\/span>\n<span class=\"synConstant\">    \u3053\u308c\u3089\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u60c5\u5831\u3092\u7528\u3044\u3066\u3001\u7d50\u5408\u30bb\u30eb\u3092\u4f7f\u3063\u305f\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4ed5\u69d8\u306b\u518d\u69cb\u6210\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>)\n    uploaded_file = st.file_uploader(<span class=\"synConstant\">\"SingleIndex \u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\"<\/span>, <span class=\"synIdentifier\">type<\/span>=[<span class=\"synConstant\">\"xlsx\"<\/span>], key=<span class=\"synConstant\">\"single_to_tree\"<\/span>)\n    <span class=\"synStatement\">if<\/span> uploaded_file <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">try<\/span>:\n            df = pd.read_excel(uploaded_file, index_col=<span class=\"synConstant\">0<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>)\n        <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n            st.error(f<span class=\"synConstant\">\"Excel \u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n            st.stop()\n\n        <span class=\"synStatement\">try<\/span>:\n            row_idx_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"row_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n            col_idx_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"col_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n            row_tree_text = row_idx_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>] <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> row_idx_df.empty <span class=\"synStatement\">else<\/span> <span class=\"synConstant\">\"\"<\/span>\n            col_tree_text = col_idx_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>] <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> col_idx_df.empty <span class=\"synStatement\">else<\/span> <span class=\"synConstant\">\"\"<\/span>\n        <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n            st.error(f<span class=\"synConstant\">\"\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u7528\u30b7\u30fc\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n            st.stop()\n        \n        new_row_adj = parse_adj_list(row_tree_text)\n        <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_row_adj:\n            row_tree_raw = build_directed_tree(new_row_adj, <span class=\"synConstant\">\"r\"<\/span>)\n            dummy_row = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n            dummy_row.children = row_tree_raw.children\n            counter_row = [<span class=\"synConstant\">0<\/span>]\n            max_level_holder_row = [-<span class=\"synConstant\">1<\/span>]\n            assign_positions(dummy_row, -<span class=\"synConstant\">1<\/span>, counter_row, max_level_holder_row)\n            new_row_tree = dummy_row\n            row_global = <span class=\"synIdentifier\">True<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            new_row_root_key = row_tree_text.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>,<span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n            new_row_tree = build_directed_tree(new_row_adj, new_row_root_key)\n            counter_row = [<span class=\"synConstant\">0<\/span>]\n            max_level_holder_row = [<span class=\"synConstant\">0<\/span>]\n            assign_positions(new_row_tree, <span class=\"synConstant\">0<\/span>, counter_row, max_level_holder_row)\n            row_global = <span class=\"synIdentifier\">False<\/span>\n        row_header_size = max_level_holder_row[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n        n_row_leaves = counter_row[<span class=\"synConstant\">0<\/span>]\n\n        new_col_adj = parse_adj_list(col_tree_text)\n        <span class=\"synStatement\">if<\/span> <span class=\"synConstant\">\"r\"<\/span> <span class=\"synStatement\">in<\/span> new_col_adj:\n            col_tree_raw = build_directed_tree(new_col_adj, <span class=\"synConstant\">\"r\"<\/span>)\n            dummy_col = TreeNode(<span class=\"synConstant\">\"\"<\/span>)\n            dummy_col.children = col_tree_raw.children\n            counter_col = [<span class=\"synConstant\">0<\/span>]\n            max_level_holder_col = [-<span class=\"synConstant\">1<\/span>]\n            assign_positions(dummy_col, -<span class=\"synConstant\">1<\/span>, counter_col, max_level_holder_col)\n            new_col_tree = dummy_col\n            col_global = <span class=\"synIdentifier\">True<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            new_col_root_key = col_tree_text.splitlines()[<span class=\"synConstant\">0<\/span>].split(<span class=\"synConstant\">\":\"<\/span>,<span class=\"synConstant\">1<\/span>)[<span class=\"synConstant\">0<\/span>].strip()\n            new_col_tree = build_directed_tree(new_col_adj, new_col_root_key)\n            counter_col = [<span class=\"synConstant\">0<\/span>]\n            max_level_holder_col = [<span class=\"synConstant\">0<\/span>]\n            assign_positions(new_col_tree, <span class=\"synConstant\">0<\/span>, counter_col, max_level_holder_col)\n            col_global = <span class=\"synIdentifier\">False<\/span>\n        col_header_size = max_level_holder_col[<span class=\"synConstant\">0<\/span>] + <span class=\"synConstant\">1<\/span>\n        n_col_leaves = counter_col[<span class=\"synConstant\">0<\/span>]\n        \n        <span class=\"synStatement\">if<\/span> df.shape[<span class=\"synConstant\">0<\/span>] != n_row_leaves:\n            st.error(f<span class=\"synConstant\">\"\u884c\u6570\u306e\u4e0d\u4e00\u81f4: \u30c7\u30fc\u30bf\u90e8\u884c\u6570 ({df.shape[0]}) \u2260 \u30c4\u30ea\u30fc\u884c\u30ea\u30fc\u30d5\u6570 ({n_row_leaves})\"<\/span>)\n            st.stop()\n        <span class=\"synStatement\">if<\/span> df.shape[<span class=\"synConstant\">1<\/span>] != n_col_leaves:\n            st.error(f<span class=\"synConstant\">\"\u5217\u6570\u306e\u4e0d\u4e00\u81f4: \u30c7\u30fc\u30bf\u90e8\u5217\u6570 ({df.shape[1]}) \u2260 \u30c4\u30ea\u30fc\u5217\u30ea\u30fc\u30d5\u6570 ({n_col_leaves})\"<\/span>)\n            st.stop()\n        \n        top_left_width  = row_header_size\n        top_left_height = col_header_size\n        data_rows = df.shape[<span class=\"synConstant\">0<\/span>]\n        data_cols = df.shape[<span class=\"synConstant\">1<\/span>]\n        total_rows = top_left_height + data_rows\n        total_cols = top_left_width + data_cols\n\n        output = io.BytesIO()\n        workbook = xlsxwriter.Workbook(output, {<span class=\"synConstant\">'nan_inf_to_errors'<\/span>: <span class=\"synIdentifier\">True<\/span>})\n        ws = workbook.add_worksheet(<span class=\"synConstant\">\"TreeStructure\"<\/span>)\n\n        header_format = workbook.add_format({\n            <span class=\"synConstant\">'align'<\/span>: <span class=\"synConstant\">'center'<\/span>,\n            <span class=\"synConstant\">'valign'<\/span>: <span class=\"synConstant\">'vcenter'<\/span>,\n            <span class=\"synConstant\">'border'<\/span>: <span class=\"synConstant\">1<\/span>,\n            <span class=\"synConstant\">'text_wrap'<\/span>: <span class=\"synIdentifier\">True<\/span>\n        })\n        <span class=\"synStatement\">for<\/span> col <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_cols):\n            ws.set_column(col, col, <span class=\"synConstant\">15<\/span>)\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(total_rows):\n            ws.set_row(r, <span class=\"synConstant\">25<\/span>)\n        \n        <span class=\"synStatement\">if<\/span> top_left_width &gt; <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">and<\/span> top_left_height &gt; <span class=\"synConstant\">0<\/span>:\n            write_left_top_block(ws, top_left_width, top_left_height, header_format)\n        \n        <span class=\"synStatement\">if<\/span> col_global:\n            col_ranges = []\n            <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> new_col_tree.children:\n                col_ranges.extend(collect_col_header_ranges(child, col_header_size))\n        <span class=\"synStatement\">else<\/span>:\n            col_ranges = collect_col_header_ranges(new_col_tree, col_header_size)\n        <span class=\"synStatement\">for<\/span> (top, left, bottom, right, label) <span class=\"synStatement\">in<\/span> col_ranges:\n            abs_top = top\n            abs_bottom = bottom\n            abs_left = left + top_left_width\n            abs_right = right + top_left_width\n            <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                ws.write(abs_top, abs_left, label, header_format)\n            <span class=\"synStatement\">else<\/span>:\n                ws.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        <span class=\"synStatement\">if<\/span> row_global:\n            row_ranges = []\n            <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> new_row_tree.children:\n                row_ranges.extend(collect_row_header_ranges(child, top_left_width))\n        <span class=\"synStatement\">else<\/span>:\n            row_ranges = collect_row_header_ranges(new_row_tree, top_left_width)\n        <span class=\"synStatement\">for<\/span> (top, left, bottom, right, label) <span class=\"synStatement\">in<\/span> row_ranges:\n            abs_top = top + top_left_height\n            abs_bottom = bottom + top_left_height\n            abs_left = left\n            abs_right = right\n            <span class=\"synStatement\">if<\/span> abs_top == abs_bottom <span class=\"synStatement\">and<\/span> abs_left == abs_right:\n                ws.write(abs_top, abs_left, label, header_format)\n            <span class=\"synStatement\">else<\/span>:\n                ws.merge_range(abs_top, abs_left, abs_bottom, abs_right, label, header_format)\n        \n        <span class=\"synStatement\">for<\/span> i <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(data_rows):\n            <span class=\"synStatement\">for<\/span> j <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(data_cols):\n                ws.write(top_left_height + i, top_left_width + j, df.iat[i, j])\n        \n        ws_row = workbook.add_worksheet(<span class=\"synConstant\">\"row_index\"<\/span>)\n        ws_col = workbook.add_worksheet(<span class=\"synConstant\">\"col_index\"<\/span>)\n        ws_row.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, row_tree_text, header_format)\n        ws_col.write(<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>, col_tree_text, header_format)\n        \n        workbook.close()\n        output.seek(<span class=\"synConstant\">0<\/span>)\n        st.download_button(\n            label=<span class=\"synConstant\">\"\u5909\u63db\u5f8c\u306e Excel \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\"<\/span>,\n            data=output,\n            file_name=<span class=\"synConstant\">\"converted_tree_index.xlsx\"<\/span>,\n            mime=<span class=\"synConstant\">\"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"<\/span>\n        )\n<\/pre>\n<h2 id=\"common\">common<\/h2>\n<h3 id=\"__init__py\">__init__.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">from<\/span> .tree_utils <span class=\"synPreProc\">import<\/span> *\n<span class=\"synPreProc\">from<\/span> .excel_utils <span class=\"synPreProc\">import<\/span> *\n<\/pre>\n<h3 id=\"excel_utilspy\">excel_utils.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> math\n<span class=\"synPreProc\">import<\/span> pandas <span class=\"synStatement\">as<\/span> pd\n<span class=\"synPreProc\">import<\/span> re\n<span class=\"synPreProc\">import<\/span> streamlit <span class=\"synStatement\">as<\/span> st\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">detect_excel_structure<\/span>(uploaded_file):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u304b\u3089\u3001\u30b7\u30fc\u30c8 \"TreeStructure\"\u3001\"row_index\"\u3001\"col_index\"<\/span>\n<span class=\"synConstant\">    \u3092\u8aad\u307f\u8fbc\u307f\u3001\u4ee5\u4e0b\u306e\u60c5\u5831\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span>\n\n<span class=\"synConstant\">      \u30fbdf_loaded: \u30b7\u30fc\u30c8 \"TreeStructure\" \u306e DataFrame\uff08header=None\uff09<\/span>\n<span class=\"synConstant\">      \u30fbindex_levels: \u30b7\u30fc\u30c8 \"TreeStructure\" \u306e\u5148\u982d\u884c\u304b\u3089\u7b97\u51fa\u3057\u305f\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08\u4f8b\uff1a\"B1\",\"B2\"\u7b49\uff09<\/span>\n<span class=\"synConstant\">      \u30fbheader_levels: \u30b7\u30fc\u30c8 \"TreeStructure\" \u306e\u5148\u982d\u5217\u304b\u3089\u7b97\u51fa\u3057\u305f\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u30ec\u30d9\u30eb\u6570\uff08\u4f8b\uff1a\"A1\",\"A2\"\u7b49\uff09<\/span>\n<span class=\"synConstant\">      \u30fbrow_tree_text_default: \u30b7\u30fc\u30c8 \"row_index\" \u306e A1 \u30bb\u30eb\u306e\u30c6\u30ad\u30b9\u30c8<\/span>\n<span class=\"synConstant\">      \u30fbcol_tree_text_default: \u30b7\u30fc\u30c8 \"col_index\" \u306e A1 \u30bb\u30eb\u306e\u30c6\u30ad\u30b9\u30c8<\/span>\n\n<span class=\"synConstant\">    \u203b \u8aad\u307f\u8fbc\u307f\u30a8\u30e9\u30fc\u3084\u8a72\u5f53\u30b7\u30fc\u30c8\u304c\u7a7a\u306e\u5834\u5408\u306f\u3001Streamlit \u306e st.error() \u3068 st.stop() \u306b\u3088\u308a\u51e6\u7406\u3092\u7d42\u4e86\u3057\u307e\u3059\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    \n    <span class=\"synStatement\">try<\/span>:\n        df_loaded = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>)\n        n_rows, n_cols = df_loaded.shape\n        col_pattern = re.compile(<span class=\"synConstant\">r\"^(B\\d+|A1\/B1)$\"<\/span>)\n        index_levels = <span class=\"synConstant\">0<\/span>\n        <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_cols):\n            cell_value = df_loaded.iloc[<span class=\"synConstant\">0<\/span>, c]\n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> col_pattern.match(cell_value.strip()):\n                index_levels += <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                <span class=\"synStatement\">break<\/span>\n        row_pattern = re.compile(<span class=\"synConstant\">r\"^(A\\d+|A1\/B1)$\"<\/span>)\n        header_levels = <span class=\"synConstant\">0<\/span>\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_rows):\n            cell_value = df_loaded.iloc[r, <span class=\"synConstant\">0<\/span>]\n            <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> row_pattern.match(cell_value.strip()):\n                header_levels += <span class=\"synConstant\">1<\/span>\n            <span class=\"synStatement\">else<\/span>:\n                <span class=\"synStatement\">break<\/span>\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"Error\"<\/span>)\n        st.error(f<span class=\"synConstant\">\"\u81ea\u52d5\u691c\u51fa\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n        st.stop()\n    \n    \n    <span class=\"synStatement\">try<\/span>:\n        row_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"row_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n        col_index_df = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"col_index\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>, engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n        <span class=\"synStatement\">if<\/span> row_index_df.empty <span class=\"synStatement\">or<\/span> col_index_df.empty:\n            st.error(<span class=\"synConstant\">\"\u30b7\u30fc\u30c8 row_index \u307e\u305f\u306f col_index \u306e\u5185\u5bb9\u304c\u7a7a\u3067\u3059\u3002\"<\/span>)\n            st.stop()\n        row_tree_text_default = row_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>]\n        col_tree_text_default = col_index_df.iloc[<span class=\"synConstant\">0<\/span>, <span class=\"synConstant\">0<\/span>]\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        st.error(f<span class=\"synConstant\">\"row_index \u307e\u305f\u306f col_index \u30b7\u30fc\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n        st.stop()\n    \n\n    <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"index_levels: {0}\"<\/span>.format(index_levels))\n    <span class=\"synIdentifier\">print<\/span>(<span class=\"synConstant\">\"header_levels: {0}\"<\/span>.format(header_levels))\n    \n    <span class=\"synStatement\">return<\/span> df_loaded, index_levels, header_levels, row_tree_text_default, col_tree_text_default\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">write_left_top_block<\/span>(ws, top_left_width, top_left_height, cell_format):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    Excel \u306e\u5de6\u4e0a\u4ea4\u5dee\u90e8\u306b\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u540d\u79f0\uff08\u4f8b\uff1a\"A1\/B1\", \"B2\" \u306a\u3069\uff09\u3092\u51fa\u529b\u3059\u308b<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">if<\/span> top_left_width &gt; <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">and<\/span> top_left_height &gt; <span class=\"synConstant\">0<\/span>:\n        <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(top_left_width):\n            <span class=\"synStatement\">if<\/span> c == <span class=\"synConstant\">0<\/span>:\n                ws.write(<span class=\"synConstant\">0<\/span>, c, <span class=\"synConstant\">\"A1\/B1\"<\/span>, cell_format)\n            <span class=\"synStatement\">else<\/span>:\n                ws.write(<span class=\"synConstant\">0<\/span>, c, f<span class=\"synConstant\">\"B{c+1}\"<\/span>, cell_format)\n        <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(<span class=\"synConstant\">1<\/span>, top_left_height):\n            ws.write(r, <span class=\"synConstant\">0<\/span>, f<span class=\"synConstant\">\"A{r+1}\"<\/span>, cell_format)\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">auto_detect_levels<\/span>(uploaded_file, max_levels=<span class=\"synConstant\">5<\/span>, row_prefix=<span class=\"synIdentifier\">None<\/span>, col_prefix=<span class=\"synIdentifier\">None<\/span>):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u305f Excel \u30d5\u30a1\u30a4\u30eb\u306e\u30b7\u30fc\u30c8 \"TreeStructure\" \u304b\u3089\u5de6\u4e0a\u30d6\u30ed\u30c3\u30af\u3092\u8aad\u307f\u8fbc\u307f\u3001<\/span>\n<span class=\"synConstant\">    \u884c\u30fb\u5217\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u3092\u691c\u51fa\u3057\u3066 DataFrame \u3092\u8fd4\u3059\u3002<\/span>\n<span class=\"synConstant\">    \u623b\u308a\u5024: (index_levels, header_levels, df)<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    uploaded_file.seek(<span class=\"synConstant\">0<\/span>)\n    df_raw = pd.read_excel(uploaded_file, sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>, header=<span class=\"synIdentifier\">None<\/span>,\n                           engine=<span class=\"synConstant\">\"openpyxl\"<\/span>, dtype=<span class=\"synIdentifier\">str<\/span>)\n    n_rows, n_cols = df_raw.shape\n\n    col_pattern = re.compile(<span class=\"synConstant\">r\"^(B\\d+|A1\/B1)$\"<\/span>)\n    index_levels = <span class=\"synConstant\">0<\/span>\n    <span class=\"synStatement\">for<\/span> c <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_cols):\n        cell_value = df_raw.iloc[<span class=\"synConstant\">0<\/span>, c]\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> col_pattern.match(cell_value.strip()):\n            index_levels += <span class=\"synConstant\">1<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            <span class=\"synStatement\">break<\/span>\n\n    row_pattern = re.compile(<span class=\"synConstant\">r\"^(A\\d+|A1\/B1)$\"<\/span>)\n    header_levels = <span class=\"synConstant\">0<\/span>\n    <span class=\"synStatement\">for<\/span> r <span class=\"synStatement\">in<\/span> <span class=\"synIdentifier\">range<\/span>(n_rows):\n        cell_value = df_raw.iloc[r, <span class=\"synConstant\">0<\/span>]\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(cell_value, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> row_pattern.match(cell_value.strip()):\n            header_levels += <span class=\"synConstant\">1<\/span>\n        <span class=\"synStatement\">else<\/span>:\n            <span class=\"synStatement\">break<\/span>\n\n    <span class=\"synStatement\">if<\/span> index_levels == <span class=\"synConstant\">0<\/span> <span class=\"synStatement\">or<\/span> header_levels == <span class=\"synConstant\">0<\/span>:\n        <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"Excel\u30d5\u30a1\u30a4\u30eb\u306e\u5de6\u4e0a\u4ea4\u5dee\u90e8\u304b\u3089\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u30ec\u30d9\u30eb\u3092\u691c\u51fa\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    uploaded_file.seek(<span class=\"synConstant\">0<\/span>)\n    <span class=\"synStatement\">try<\/span>:\n        df = pd.read_excel(\n            uploaded_file,\n            sheet_name=<span class=\"synConstant\">\"TreeStructure\"<\/span>,\n            header=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(header_levels)),\n            index_col=<span class=\"synIdentifier\">list<\/span>(<span class=\"synIdentifier\">range<\/span>(index_levels)),\n            engine=<span class=\"synConstant\">\"openpyxl\"<\/span>\n        )\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span> <span class=\"synStatement\">as<\/span> e:\n        <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(f<span class=\"synConstant\">\"Excel\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\u306b\u5931\u6557\u3057\u307e\u3057\u305f: {e}\"<\/span>)\n\n    \n    idx_names = df.index.names\n    col_names = df.columns.names\n    <span class=\"synStatement\">if<\/span> row_prefix <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(row_prefix) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> idx_names <span class=\"synStatement\">if<\/span> name):\n            <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"\u884c\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u79f0\u306b\u671f\u5f85\u3059\u308b\u63a5\u982d\u8f9e\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    <span class=\"synStatement\">if<\/span> col_prefix <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">all<\/span>(<span class=\"synIdentifier\">isinstance<\/span>(name, <span class=\"synIdentifier\">str<\/span>) <span class=\"synStatement\">and<\/span> name.startswith(col_prefix) <span class=\"synStatement\">for<\/span> name <span class=\"synStatement\">in<\/span> col_names <span class=\"synStatement\">if<\/span> name):\n            <span class=\"synStatement\">raise<\/span> <span class=\"synType\">ValueError<\/span>(<span class=\"synConstant\">\"\u5217\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u540d\u79f0\u306b\u671f\u5f85\u3059\u308b\u63a5\u982d\u8f9e\u304c\u898b\u3064\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002\"<\/span>)\n    <span class=\"synStatement\">return<\/span> index_levels, header_levels, df\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">safe_cell_value<\/span>(val):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30bb\u30eb\u306e\u5024\u304c NaN \u3084 INF \u306e\u5834\u5408\u306b\u7a7a\u6587\u5b57\u306b\u5909\u63db\u3059\u308b<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">try<\/span>:\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">isinstance<\/span>(val, <span class=\"synIdentifier\">float<\/span>) <span class=\"synStatement\">and<\/span> (math.isnan(val) <span class=\"synStatement\">or<\/span> math.isinf(val)):\n            <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"\"<\/span>\n        <span class=\"synStatement\">if<\/span> pd.isna(val):\n            <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"\"<\/span>\n        <span class=\"synStatement\">return<\/span> val\n    <span class=\"synStatement\">except<\/span> <span class=\"synType\">Exception<\/span>:\n        <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"\"<\/span>\n<\/pre>\n<h3 id=\"tree_utilspy\">tree_utils.py<\/h3>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> re\n\n<span class=\"synStatement\">class<\/span> <span class=\"synIdentifier\">TreeNode<\/span>:\n    <span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">__init__<\/span>(self, label):\n        self.label = label      \n        self.children = []      \n        self.level = <span class=\"synConstant\">0<\/span>          \n        self.start = <span class=\"synConstant\">0<\/span>          \n        self.end = <span class=\"synConstant\">0<\/span>            \n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">parse_adj_list<\/span>(text):\n    <span class=\"synConstant\">\"\"\"\u30c6\u30ad\u30b9\u30c8\u304b\u3089 '\u30ce\u30fc\u30c9: [\u5b501, \u5b502, \u2026]' \u5f62\u5f0f\u306e\u96a3\u63a5\u30ea\u30b9\u30c8\u3092\u751f\u6210\"\"\"<\/span>\n    adj = {}\n    <span class=\"synStatement\">for<\/span> line <span class=\"synStatement\">in<\/span> text.splitlines():\n        line = line.strip()\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> line <span class=\"synStatement\">or<\/span> <span class=\"synConstant\">':'<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synStatement\">in<\/span> line:\n            <span class=\"synStatement\">continue<\/span>\n        key_part, value_part = line.split(<span class=\"synConstant\">\":\"<\/span>, <span class=\"synConstant\">1<\/span>)\n        key = key_part.strip()\n        value_part = value_part.strip()\n        <span class=\"synStatement\">if<\/span> value_part.startswith(<span class=\"synConstant\">'['<\/span>) <span class=\"synStatement\">and<\/span> value_part.endswith(<span class=\"synConstant\">']'<\/span>):\n            inner = value_part[<span class=\"synConstant\">1<\/span>:-<span class=\"synConstant\">1<\/span>]\n            <span class=\"synStatement\">if<\/span> inner.strip() == <span class=\"synConstant\">\"\"<\/span>:\n                children = []\n            <span class=\"synStatement\">else<\/span>:\n                children = [token.strip() <span class=\"synStatement\">for<\/span> token <span class=\"synStatement\">in<\/span> inner.split(<span class=\"synConstant\">\",\"<\/span>) <span class=\"synStatement\">if<\/span> token.strip()]\n        <span class=\"synStatement\">else<\/span>:\n            children = []\n        adj[key] = children\n    <span class=\"synStatement\">return<\/span> adj\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">build_directed_tree<\/span>(adj, current):\n    <span class=\"synConstant\">\"\"\"\u96a3\u63a5\u30ea\u30b9\u30c8\u304b\u3089\u518d\u5e30\u7684\u306b\u6709\u5411\u6728\u3092\u751f\u6210\"\"\"<\/span>\n    node = TreeNode(current)\n    <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> adj.get(current, []):\n        node.children.append(build_directed_tree(adj, child))\n    <span class=\"synStatement\">return<\/span> node\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">assign_positions<\/span>(node, level, counter, max_level_holder):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    DFS \u3067\u5404\u30ce\u30fc\u30c9\u306b\u968e\u5c64 level \u3068\u8868\u793a\u9806 (start, end) \u3092\u5272\u308a\u5f53\u3066\u308b<\/span>\n<span class=\"synConstant\">    counter: \u30ea\u30b9\u30c8\u5f62\u5f0f\u3067[\u521d\u671f\u4f4d\u7f6e]\uff08\u53c2\u7167\u6e21\u3057\uff09<\/span>\n<span class=\"synConstant\">    max_level_holder: [\u73fe\u5728\u306e\u6700\u5927\u30ec\u30d9\u30eb]<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    node.level = level\n    <span class=\"synStatement\">if<\/span> level &gt; max_level_holder[<span class=\"synConstant\">0<\/span>]:\n        max_level_holder[<span class=\"synConstant\">0<\/span>] = level\n    <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> node.children:\n        node.start = counter[<span class=\"synConstant\">0<\/span>]\n        node.end = counter[<span class=\"synConstant\">0<\/span>]\n        counter[<span class=\"synConstant\">0<\/span>] += <span class=\"synConstant\">1<\/span>\n    <span class=\"synStatement\">else<\/span>:\n        <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n            assign_positions(child, level + <span class=\"synConstant\">1<\/span>, counter, max_level_holder)\n        node.start = node.children[<span class=\"synConstant\">0<\/span>].start\n        node.end = node.children[-<span class=\"synConstant\">1<\/span>].end\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">collect_col_header_ranges<\/span>(node, header_rows):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u5217\u30d8\u30c3\u30c0\u30fc\u9818\u57df\u306e\u30bb\u30eb\u7d50\u5408\u7bc4\u56f2\u3092\u53ce\u96c6\u3059\u308b<\/span>\n<span class=\"synConstant\">      \u00b7 \u975e\u8449\u30ce\u30fc\u30c9\uff1anode.level \u884c\u3001\u5de6\uff1d\u6700\u521d\u306e\u5b50\u306e start\u3001\u53f3\uff1d\u6700\u5f8c\u306e\u5b50\u306e end<\/span>\n<span class=\"synConstant\">      \u00b7 \u8449\u30ce\u30fc\u30c9\uff1anode.level\uff5e(header_rows-1) \u884c\u3001\u5217\u306f node.start \u56fa\u5b9a<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    ranges = []\n    <span class=\"synStatement\">if<\/span> node.children:\n        <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n            ranges.extend(collect_col_header_ranges(child, header_rows))\n        top = node.level\n        bottom = node.level\n        left = node.children[<span class=\"synConstant\">0<\/span>].start\n        right = node.children[-<span class=\"synConstant\">1<\/span>].end\n        ranges.append((top, left, bottom, right, node.label))\n    <span class=\"synStatement\">else<\/span>:\n        top = node.level\n        bottom = header_rows - <span class=\"synConstant\">1<\/span>\n        left = node.start\n        right = node.start\n        ranges.append((top, left, bottom, right, node.label))\n    <span class=\"synStatement\">return<\/span> ranges\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">collect_row_header_ranges<\/span>(node, header_cols):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u884c\u30d8\u30c3\u30c0\u30fc\u9818\u57df\u306e\u30bb\u30eb\u7d50\u5408\u7bc4\u56f2\u3092\u53ce\u96c6\u3059\u308b<\/span>\n<span class=\"synConstant\">      \u00b7 \u975e\u8449\u30ce\u30fc\u30c9\uff1anode.level \u5217\u3001\u4e0a\uff1d\u6700\u521d\u306e\u5b50\u306e start\u3001\u4e0b\uff1d\u6700\u5f8c\u306e\u5b50\u306e end<\/span>\n<span class=\"synConstant\">      \u00b7 \u8449\u30ce\u30fc\u30c9\uff1anode.level\uff5e(header_cols-1) \u5217\u3001\u884c\u306f node.start \u56fa\u5b9a<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    ranges = []\n    <span class=\"synStatement\">if<\/span> node.children:\n        <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n            ranges.extend(collect_row_header_ranges(child, header_cols))\n        left = node.level\n        right = node.level\n        top = node.children[<span class=\"synConstant\">0<\/span>].start\n        bottom = node.children[-<span class=\"synConstant\">1<\/span>].end\n        ranges.append((top, left, bottom, right, node.label))\n    <span class=\"synStatement\">else<\/span>:\n        top = node.start\n        bottom = node.start\n        left = node.level\n        right = header_cols - <span class=\"synConstant\">1<\/span>\n        ranges.append((top, left, bottom, right, node.label))\n    <span class=\"synStatement\">return<\/span> ranges\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">rec_graph<\/span>(node, counter):\n    <span class=\"synConstant\">\"\"\"Graphviz\u7528\uff1a\u518d\u5e30\u7684\u306b DOT \u8a18\u8ff0\u7528\u306e\u884c\u3092\u751f\u6210\"\"\"<\/span>\n    current_id = counter[<span class=\"synConstant\">0<\/span>]\n    counter[<span class=\"synConstant\">0<\/span>] += <span class=\"synConstant\">1<\/span>\n    safe_label = node.label.replace(<span class=\"synConstant\">'\"'<\/span>, <span class=\"synConstant\">'<\/span><span class=\"synSpecial\">\\\\<\/span><span class=\"synConstant\">\"'<\/span>)\n    lines = [f<span class=\"synConstant\">'  {current_id} [label=\"{safe_label}\"];'<\/span>]\n    <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n        child_id, child_lines = rec_graph(child, counter)\n        lines.append(f<span class=\"synConstant\">'  {current_id} -&gt; {child_id};'<\/span>)\n        lines.extend(child_lines)\n    <span class=\"synStatement\">return<\/span> current_id, lines\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">tree_to_dot_format<\/span>(tree, hide_dummy=<span class=\"synIdentifier\">False<\/span>):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30c4\u30ea\u30fc\u3092 Graphviz \u7528 DOT \u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b\u3002<\/span>\n<span class=\"synConstant\">    \u30c0\u30df\u30fc\u30ce\u30fc\u30c9\uff08\u30e9\u30d9\u30eb\u304c\u7a7a\u6587\u5b57\uff09\u306e\u5834\u5408\u3001hide_dummy=True \u306a\u3089\u5b50\u306e\u307f\u51fa\u529b\u3059\u308b\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    counter = [<span class=\"synConstant\">0<\/span>]\n    lines = []\n    <span class=\"synStatement\">if<\/span> hide_dummy <span class=\"synStatement\">and<\/span> tree.label == <span class=\"synConstant\">\"\"<\/span> <span class=\"synStatement\">and<\/span> tree.children:\n        <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> tree.children:\n            child_id, child_lines = rec_graph(child, counter)\n            lines.extend(child_lines)\n    <span class=\"synStatement\">else<\/span>:\n        root_id, root_lines = rec_graph(tree, counter)\n        lines.extend(root_lines)\n    dot_code = <span class=\"synConstant\">\"digraph Tree {<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span> + <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>.join(lines) + <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">}\"<\/span>\n    <span class=\"synStatement\">return<\/span> dot_code\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">collect_leaf_paths<\/span>(node, path, collected):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u518d\u5e30\u7684\u306b\u5404\u8449\u30ce\u30fc\u30c9\u307e\u3067\u306e\u30d1\u30b9\u3092\u53ce\u96c6\u3059\u308b\u3002<\/span>\n<span class=\"synConstant\">    path \u306b\u89aa\u30ce\u30fc\u30c9\u306e\u30e9\u30d9\u30eb\u3092\u9806\u306b\u8ffd\u52a0\u3057\u3066\u3044\u304d\u3001\u8449\u306b\u9054\u3057\u305f\u3089 collected \u306b\u8ffd\u52a0\u3059\u308b\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    new_path = path + [node.label]\n    <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> node.children:\n        collected.append(new_path)\n    <span class=\"synStatement\">else<\/span>:\n        <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n            collect_leaf_paths(child, new_path, collected)\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">pad_path<\/span>(path, desired_length):\n    <span class=\"synConstant\">\"\"\"\u8449\u30d1\u30b9\u304c desired_length \u306b\u6e80\u305f\u306a\u3044\u5834\u5408\u3001\u672b\u5c3e\u3092\u7a7a\u6587\u5b57\u3067\u30d1\u30c7\u30a3\u30f3\u30b0\u3057\u3066\u30bf\u30d7\u30eb\u306b\u3059\u308b\"\"\"<\/span>\n    <span class=\"synStatement\">return<\/span> <span class=\"synIdentifier\">tuple<\/span>(path + [<span class=\"synConstant\">\"\"<\/span>] * (desired_length - <span class=\"synIdentifier\">len<\/span>(path)))\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">get_leaf_paths<\/span>(node):\n    <span class=\"synConstant\">\"\"\"<\/span>\n<span class=\"synConstant\">    \u30c4\u30ea\u30fc\u304b\u3089\u8449\u30ce\u30fc\u30c9\u307e\u3067\u306e\u30d1\u30b9\u3092\u53d6\u5f97\u3059\u308b\uff08\u30bf\u30d7\u30eb\u306e\u30ea\u30b9\u30c8\uff09\u3002<\/span>\n<span class=\"synConstant\">    \u203b\u5b50\u304c\u30ea\u30fc\u30d5\u306e\u5834\u5408\u306f\u3001\u89aa\u306e\u30e9\u30d9\u30eb\u3092\u4ed8\u4e0e\u305b\u305a\u76f4\u63a5\u5b50\u306e\u30e9\u30d9\u30eb\u306e\u307f\u8fd4\u3059\u5f62\u306b\u3059\u308b\u3002<\/span>\n<span class=\"synConstant\">    \"\"\"<\/span>\n    <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> node.children:\n        <span class=\"synStatement\">return<\/span> [(node.label,)]\n    paths = []\n    <span class=\"synStatement\">for<\/span> child <span class=\"synStatement\">in<\/span> node.children:\n        <span class=\"synStatement\">if<\/span> <span class=\"synStatement\">not<\/span> child.children:\n            paths.append((child.label,))\n        <span class=\"synStatement\">else<\/span>:\n            <span class=\"synStatement\">for<\/span> sub <span class=\"synStatement\">in<\/span> get_leaf_paths(child):\n                paths.append((node.label,) + sub)\n    <span class=\"synStatement\">return<\/span> paths\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">multiindex_to_nested_dict<\/span>(mi):\n    <span class=\"synConstant\">\"\"\"MultiIndex \u306e\u5404\u8981\u7d20\u304b\u3089\u30cd\u30b9\u30c8\u3057\u305f\u8f9e\u66f8\u69cb\u9020\u3092\u751f\u6210\u3059\u308b\"\"\"<\/span>\n    nested = {}\n    <span class=\"synStatement\">for<\/span> tup <span class=\"synStatement\">in<\/span> mi:\n        cur = nested\n        <span class=\"synStatement\">for<\/span> label <span class=\"synStatement\">in<\/span> tup:\n            <span class=\"synStatement\">if<\/span> label <span class=\"synStatement\">not<\/span> <span class=\"synStatement\">in<\/span> cur:\n                cur[label] = {}\n            cur = cur[label]\n    <span class=\"synStatement\">return<\/span> nested\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">nested_to_lines<\/span>(nd):\n    <span class=\"synConstant\">\"\"\"\u30cd\u30b9\u30c8\u3057\u305f\u8f9e\u66f8\u69cb\u9020\u304b\u3089 '\u30ce\u30fc\u30c9: [\u5b501, \u5b502,...]' \u5f62\u5f0f\u306e\u30c6\u30ad\u30b9\u30c8\u884c\u30ea\u30b9\u30c8\u3092\u751f\u6210\u3059\u308b\"\"\"<\/span>\n    lines = []\n    <span class=\"synStatement\">for<\/span> key, sub <span class=\"synStatement\">in<\/span> nd.items():\n        <span class=\"synStatement\">if<\/span> sub:\n            children = <span class=\"synIdentifier\">list<\/span>(sub.keys())\n            lines.append(f<span class=\"synConstant\">\"{key}: [\"<\/span> + <span class=\"synConstant\">\", \"<\/span>.join(<span class=\"synIdentifier\">map<\/span>(<span class=\"synIdentifier\">str<\/span>, children)) + <span class=\"synConstant\">\"]\"<\/span>)\n            lines.extend(nested_to_lines(sub))\n    <span class=\"synStatement\">return<\/span> lines\n\n<span class=\"synStatement\">def<\/span> <span class=\"synIdentifier\">multiindex_to_tree_text<\/span>(mi):\n    <span class=\"synConstant\">\"\"\"MultiIndex \u304b\u3089\u30c4\u30ea\u30fc\u69cb\u9020\u30c6\u30ad\u30b9\u30c8\u306b\u5909\u63db\u3059\u308b\"\"\"<\/span>\n    nd = multiindex_to_nested_dict(mi)\n    lines = []\n    <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(nd) &gt; <span class=\"synConstant\">1<\/span>:\n        top_keys = <span class=\"synIdentifier\">list<\/span>(nd.keys())\n        lines.append(<span class=\"synConstant\">\"r: [\"<\/span> + <span class=\"synConstant\">\", \"<\/span>.join(<span class=\"synIdentifier\">map<\/span>(<span class=\"synIdentifier\">str<\/span>, top_keys)) + <span class=\"synConstant\">\"]\"<\/span>)\n        lines.extend(nested_to_lines(nd))\n    <span class=\"synStatement\">else<\/span>:\n        lines.extend(nested_to_lines(nd))\n    <span class=\"synStatement\">return<\/span> <span class=\"synConstant\">\"<\/span><span class=\"synSpecial\">\\n<\/span><span class=\"synConstant\">\"<\/span>.join(lines)\n<\/pre>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u30c4\u30ea\u30fc\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3092\u52b9\u7387\u7684\u306b\u53d6\u308a\u6271\u3046\u30c4\u30fc\u30eb\u7fa4\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002\u69d8\u3005\u306a\u696d\u52d9\u306b\u304a\u3044\u3066\u3001\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u7d50\u5408\u30bb\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u30c4\u30ea\u30fc\u3068\u307f\u306a\u3059\u3053\u3068\u3067\u898b\u901a\u3057\u304c\u826f\u304f\u306a\u308a\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u7684\u306b\u53d6\u308a\u6271\u3044\u3084\u3059\u304f\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n<p>\u307e\u305f\u3001\u3053\u306e\u3088\u3046\u306b\u8907\u96d1\u306a\u7d50\u5408\u30bb\u30eb\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f53\u7cfb\u7684\u306b\u53d6\u308a\u6271\u3046\u3088\u3046\u306a\u8003\u3048\u65b9\u306f\u3001\u79c1\u306e\u77e5\u308b\u9650\u308a\u5b58\u5728\u305b\u305a\u3001\u77e5\u898b\u3068\u3057\u3066\u306f\u65b0\u3057\u3044\u3068\u8003\u3048\u3066\u304a\u308a\u307e\u3059\u3002<\/p>\n<p>\u4eca\u5f8c\u306e\u5c55\u958b\u3068\u3057\u3066\u306f\u3001\u30c6\u30b9\u30c8\u81ea\u52d5\u5316\u306b\u304a\u3051\u308b\u4ed5\u69d8\u66f8\u3084\u671f\u5f85\u5024\u306e\u53f0\u7d19\u306e\u4f5c\u6210\u3001\u5dee\u5206\u62bd\u51fa\u3001\u53ca\u3073\u5909\u63db\u7b49\u306b\u4f7f\u7528\u4e88\u5b9a\u3067\u3059\u3002<\/p>\n<p>\u304a\u8aad\u307f\u3044\u305f\u3060\u304d\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3057\u305f\u3002<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/06\/25\/173716\">[1] \u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u4f5c\u6210\u30c4\u30fc\u30eb<\/a><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/12\/163419\">[2] \u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u3082\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u5dee\u5206\u3092\u30bb\u30eb\u5358\u4f4d\u3067\u62bd\u51fa\u3059\u308b\u30c4\u30fc\u30eb<\/a><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/tech.motex.co.jp\/entry\/2025\/09\/25\/101803\">[3] \u30de\u30eb\u30c1\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u5909\u63db\u306b\u5bfe\u3057\u3066\u5024\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30c4\u30fc\u30eb<\/a><\/p>\n<\/div>\n<p><script>(function(d, s, id) {\n  var js, fjs = d.getElementsByTagName(s)[0];\n  if (d.getElementById(id)) return;\n  js = d.createElement(s); 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