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\n\u2003\u2003\u95ee\u9898\u4e8c\u5206\u6790
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\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5168\u90e8\u8bba\u6587\u8bf7\u89c1\u4e0b\u65b9\u201c \u53ea\u4f1a\u5efa\u6a21 QQ\u540d\u7247\u201d \u70b9\u51fbQQ\u540d\u7247\u5373\u53ef<\/h6>\n

\u7a0b\u5e8f\u4ee3\u7801：<\/font><\/h4>\n
\u90e8\u5206\u7a0b\u5e8f\u5982\u4e0b:<\/font><\/h5>\n

from<\/span> __future__ import<\/span> annotations<\/p>\n

import<\/span> json
\nimport<\/span> math
\nimport<\/span> os
\nimport<\/span> re
\nimport<\/span> warnings
\nimport<\/span> zipfile
\nfrom<\/span> collections import<\/span> Counter
\nfrom<\/span> dataclasses import<\/span> dataclass
\nfrom<\/span> itertools import<\/span> combinations
\nfrom<\/span> pathlib import<\/span> Path
\nfrom<\/span> typing import<\/span> Dict,<\/span> Iterable,<\/span> List,<\/span> Sequence,<\/span> Tuple<\/p>\n

import<\/span> fitz
\nimport<\/span> matplotlib.<\/span>pyplot as<\/span> plt
\nimport<\/span> numpy as<\/span> np
\nimport<\/span> pandas as<\/span> pd
\nfrom<\/span> matplotlib import<\/span> font_manager
\nfrom<\/span> scipy.<\/span>stats import<\/span> spearmanr
\nfrom<\/span> sklearn.<\/span>base import<\/span> clone
\nfrom<\/span> sklearn.<\/span>cross_decomposition import<\/span> PLSRegression
\nfrom<\/span> sklearn.<\/span>ensemble import<\/span> RandomForestRegressor
\nfrom<\/span> sklearn.<\/span>linear_model import<\/span> BayesianRidge,<\/span> ElasticNet
\nfrom<\/span> sklearn.<\/span>metrics import<\/span> mean_absolute_error,<\/span> mean_squared_error,<\/span> r2_score
\nfrom<\/span> sklearn.<\/span>model_selection import<\/span> LeaveOneOut
\nfrom<\/span> sklearn.<\/span>pipeline import<\/span> Pipeline
\nfrom<\/span> sklearn.<\/span>preprocessing import<\/span> StandardScaler<\/p>\n

warnings.<\/span>filterwarnings(<\/span>"ignore"<\/span>)<\/span><\/p>\n

ROOT =<\/span> Path(<\/span>__file__)<\/span>.<\/span>resolve(<\/span>)<\/span>.<\/span>parent
\nWORK =<\/span> ROOT \/<\/span> "\u5efa\u6a21\u8fd0\u884c\u7ed3\u679c"<\/span>
\nATT1 =<\/span> WORK \/<\/span> "att1"<\/span>
\nATT2 =<\/span> WORK \/<\/span> "att2"<\/span>
\nATT3 =<\/span> WORK \/<\/span> "att3"<\/span>
\nOUT =<\/span> WORK \/<\/span> "results"<\/span>
\nFIG =<\/span> OUT \/<\/span> "figures"<\/span>
\nOUT.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
\nFIG.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span><\/p>\n

def<\/span> _safe_extract_zip<\/span>(<\/span>zip_path:<\/span> Path,<\/span> target:<\/span> Path)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n """\u5b89\u5168\u89e3\u538b\u9644\u4ef6，\u9632\u6b62\u8def\u5f84\u7a7f\u8d8a；\u538b\u7f29\u5305\u5185\u53ef\u5305\u542b\u4efb\u610f\u5c42\u7ea7\u76ee\u5f55\u3002"""<\/span>
\n target.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
\n root =<\/span> target.<\/span>resolve(<\/span>)<\/span>
\n with<\/span> zipfile.<\/span>ZipFile(<\/span>zip_path,<\/span> "r"<\/span>)<\/span> as<\/span> zf:<\/span>
\n for<\/span> member in<\/span> zf.<\/span>infolist(<\/span>)<\/span>:<\/span>
\n destination =<\/span> (<\/span>target \/<\/span> member.<\/span>filename)<\/span>.<\/span>resolve(<\/span>)<\/span>
\n if<\/span> root not<\/span> in<\/span> destination.<\/span>parents and<\/span> destination !=<\/span> root:<\/span>
\n raise<\/span> ValueError(<\/span>f"\u538b\u7f29\u5305\u5305\u542b\u4e0d\u5b89\u5168\u8def\u5f84：<\/span>{<\/span>member.<\/span>filename}<\/span><\/span>"<\/span><\/span>)<\/span>
\n zf.<\/span>extractall(<\/span>target)<\/span><\/p>\n

def<\/span> prepare_inputs<\/span>(<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n """
\n \u81ea\u52a8\u51c6\u5907\u8f93\u5165\u6570\u636e\u3002<\/p>\n

\u5c06\u672c\u811a\u672c\u4e0e\u201c\u9644\u4ef61.zip\u3001\u9644\u4ef62.zip\u3001\u9644\u4ef63.zip\u201d\u653e\u5728\u540c\u4e00\u76ee\u5f55\u540e\u8fd0\u884c；
\n \u7a0b\u5e8f\u4f1a\u89e3\u538b\u5230\u201c\u5efa\u6a21\u8fd0\u884c\u7ed3\u679c\/att1~att3\u201d，\u5e76\u9012\u5f52\u68c0\u7d22 PDF\u3002
\n \u82e5\u7528\u6237\u5df2\u7ecf\u624b\u5de5\u653e\u7f6e PDF，\u5219\u4e0d\u4f1a\u91cd\u590d\u89e3\u538b\u3002
\n """<\/span>
\n mapping =<\/span> [<\/span>(<\/span>ROOT \/<\/span> "\u9644\u4ef61.zip"<\/span>,<\/span> ATT1)<\/span>,<\/span> (<\/span>ROOT \/<\/span> "\u9644\u4ef62.zip"<\/span>,<\/span> ATT2)<\/span>,<\/span> (<\/span>ROOT \/<\/span> "\u9644\u4ef63.zip"<\/span>,<\/span> ATT3)<\/span>]<\/span>
\n missing =<\/span> [<\/span>]<\/span>
\n for<\/span> zip_path,<\/span> target in<\/span> mapping:<\/span>
\n target.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
\n if<\/span> not<\/span> any<\/span>(<\/span>target.<\/span>rglob(<\/span>"*.pdf"<\/span>)<\/span>)<\/span>:<\/span>
\n if<\/span> zip_path.<\/span>exists(<\/span>)<\/span>:<\/span>
\n print<\/span>(<\/span>f"\u6b63\u5728\u89e3\u538b：<\/span>{<\/span>zip_path.<\/span>name}<\/span><\/span> -> <\/span>{<\/span>target}<\/span><\/span>"<\/span><\/span>)<\/span>
\n _safe_extract_zip(<\/span>zip_path,<\/span> target)<\/span>
\n else<\/span>:<\/span>
\n missing.<\/span>append(<\/span>zip_path.<\/span>name)<\/span>
\n if<\/span> not<\/span> any<\/span>(<\/span>target.<\/span>rglob(<\/span>"*.pdf"<\/span>)<\/span>)<\/span>:<\/span>
\n missing.<\/span>append(<\/span>f"<\/span>{<\/span>target}<\/span><\/span>（\u672a\u53d1\u73b0PDF）"<\/span><\/span>)<\/span>
\n if<\/span> missing:<\/span>
\n raise<\/span> FileNotFoundError(<\/span>
\n "\u7f3a\u5c11\u8f93\u5165\u6570\u636e："<\/span> +<\/span> "；"<\/span>.<\/span>join(<\/span>dict<\/span>.<\/span>fromkeys(<\/span>missing)<\/span>)<\/span> +<\/span>
\n "\u3002\u8bf7\u5c06\u672c\u811a\u672c\u4e0e\u9644\u4ef61.zip\u3001\u9644\u4ef62.zip\u3001\u9644\u4ef63.zip\u7f6e\u4e8e\u540c\u4e00\u76ee\u5f55\u3002"<\/span>
\n )<\/span><\/p>\n

# —————————- \u5b57\u4f53\u4e0e\u7ed8\u56fe\u53c2\u6570 —————————-<\/span>
\ndef<\/span> setup_chinese_font<\/span>(<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n preferred =<\/span> [<\/span>
\n "Noto Sans CJK SC"<\/span>,<\/span> "Noto Serif CJK SC"<\/span>,<\/span> "Microsoft YaHei"<\/span>,<\/span> "SimHei"<\/span>,<\/span>
\n "WenQuanYi Micro Hei"<\/span>,<\/span> "AR PL UMing CN"<\/span>
\n ]<\/span>
\n available =<\/span> {<\/span>f.<\/span>name for<\/span> f in<\/span> font_manager.<\/span>fontManager.<\/span>ttflist}<\/span>
\n for<\/span> name in<\/span> preferred:<\/span>
\n if<\/span> name in<\/span> available:<\/span>
\n plt.<\/span>rcParams[<\/span>"font.sans-serif"<\/span>]<\/span> =<\/span> [<\/span>name]<\/span>
\n break<\/span>
\n plt.<\/span>rcParams[<\/span>"axes.unicode_minus"<\/span>]<\/span> =<\/span> False<\/span>
\n plt.<\/span>rcParams[<\/span>"figure.dpi"<\/span>]<\/span> =<\/span> 150<\/span>
\n plt.<\/span>rcParams[<\/span>"savefig.dpi"<\/span>]<\/span> =<\/span> 220<\/span>
\n plt.<\/span>rcParams[<\/span>"axes.titleweight"<\/span>]<\/span> =<\/span> "bold"<\/span>
\n plt.<\/span>rcParams[<\/span>"axes.grid"<\/span>]<\/span> =<\/span> True<\/span>
\n plt.<\/span>rcParams[<\/span>"grid.alpha"<\/span>]<\/span> =<\/span> 0.18<\/span><\/p>\n

setup_chinese_font(<\/span>)<\/span><\/p>\n

# —————————- \u8bcd\u5178 —————————-<\/span>
\nSTRUCTURE_KEYS =<\/span> {<\/span>
\n "\u6458\u8981"<\/span>:<\/span> [<\/span>"\u6458\u8981"<\/span>]<\/span>,<\/span>
\n "\u5173\u952e\u8bcd"<\/span>:<\/span> [<\/span>"\u5173\u952e\u8bcd"<\/span>,<\/span> "\u5173\u952e\u5b57"<\/span>]<\/span>,<\/span>
\n "\u95ee\u9898\u91cd\u8ff0"<\/span>:<\/span> [<\/span>"\u95ee\u9898\u91cd\u8ff0"<\/span>,<\/span> "\u95ee\u9898\u80cc\u666f"<\/span>,<\/span> "\u95ee\u9898\u63d0\u51fa"<\/span>]<\/span>,<\/span>
\n "\u95ee\u9898\u5206\u6790"<\/span>:<\/span> [<\/span>"\u95ee\u9898\u5206\u6790"<\/span>,<\/span> "\u95ee\u9898\u5256\u6790"<\/span>]<\/span>,<\/span>
\n "\u6a21\u578b\u5047\u8bbe"<\/span>:<\/span> [<\/span>"\u6a21\u578b\u5047\u8bbe"<\/span>,<\/span> "\u57fa\u672c\u5047\u8bbe"<\/span>,<\/span> "\u95ee\u9898\u5047\u8bbe"<\/span>]<\/span>,<\/span>
\n "\u7b26\u53f7\u8bf4\u660e"<\/span>:<\/span> [<\/span>"\u7b26\u53f7\u8bf4\u660e"<\/span>,<\/span> "\u7b26\u53f7\u7ea6\u5b9a"<\/span>,<\/span> "\u7b26\u53f7\u5b9a\u4e49"<\/span>]<\/span>,<\/span>
\n "\u6a21\u578b\u5efa\u7acb"<\/span>:<\/span> [<\/span>"\u6a21\u578b\u5efa\u7acb"<\/span>,<\/span> "\u6a21\u578b\u7684\u5efa\u7acb"<\/span>,<\/span> "\u6a21\u578b\u6784\u5efa"<\/span>]<\/span>,<\/span>
\n "\u6a21\u578b\u6c42\u89e3"<\/span>:<\/span> [<\/span>"\u6a21\u578b\u6c42\u89e3"<\/span>,<\/span> "\u6a21\u578b\u7684\u6c42\u89e3"<\/span>,<\/span> "\u6c42\u89e3\u8fc7\u7a0b"<\/span>]<\/span>,<\/span>
\n "\u68c0\u9a8c\u8bc4\u4ef7"<\/span>:<\/span> [<\/span>"\u6a21\u578b\u68c0\u9a8c"<\/span>,<\/span> "\u7075\u654f\u5ea6\u5206\u6790"<\/span>,<\/span> "\u654f\u611f\u6027\u5206\u6790"<\/span>,<\/span> "\u8bef\u5dee\u5206\u6790"<\/span>,<\/span> "\u6a21\u578b\u8bc4\u4ef7"<\/span>,<\/span> "\u6a21\u578b\u4f18\u7f3a\u70b9"<\/span>]<\/span>,<\/span>
\n "\u53c2\u8003\u6587\u732e"<\/span>:<\/span> [<\/span>"\u53c2\u8003\u6587\u732e"<\/span>]<\/span>,<\/span>
\n "\u9644\u5f55"<\/span>:<\/span> [<\/span>"\u9644\u5f55"<\/span>,<\/span> "\u7a0b\u5e8f\u4ee3\u7801"<\/span>,<\/span> "\u4ee3\u7801"<\/span>]<\/span>,<\/span>
\n}<\/span><\/p>\n

LOGIC_WORDS =<\/span> [<\/span>
\n "\u56e0\u6b64"<\/span>,<\/span> "\u56e0\u800c"<\/span>,<\/span> "\u4ece\u800c"<\/span>,<\/span> "\u6240\u4ee5"<\/span>,<\/span> "\u7531\u6b64"<\/span>,<\/span> "\u53ef\u5f97"<\/span>,<\/span> "\u8fd9\u8868\u660e"<\/span>,<\/span> "\u8bf4\u660e"<\/span>,<\/span> "\u9274\u4e8e"<\/span>,<\/span> "\u8003\u8651\u5230"<\/span>,<\/span>
\n "\u9996\u5148"<\/span>,<\/span> "\u5176\u6b21"<\/span>,<\/span> "\u7136\u540e"<\/span>,<\/span> "\u6700\u540e"<\/span>,<\/span> "\u8fdb\u4e00\u6b65"<\/span>,<\/span> "\u5728\u6b64\u57fa\u7840\u4e0a"<\/span>,<\/span> "\u57fa\u4e8e\u4e0a\u8ff0"<\/span>,<\/span> "\u7efc\u4e0a"<\/span>,<\/span> "\u53cd\u4e4b"<\/span>,<\/span>
\n "\u7136\u800c"<\/span>,<\/span> "\u4f46\u662f"<\/span>,<\/span> "\u4e0e\u6b64\u540c\u65f6"<\/span>,<\/span> "\u4e3a\u4e86"<\/span>,<\/span> "\u5176\u4e2d"<\/span>,<\/span> "\u82e5"<\/span>,<\/span> "\u5219"<\/span>,<\/span> "\u6545"<\/span>,<\/span> "\u7531\u4e8e"<\/span>
\n]<\/span>
\nDERIVATION_WORDS =<\/span> [<\/span>"\u4ee3\u5165"<\/span>,<\/span> "\u5316\u7b80"<\/span>,<\/span> "\u6574\u7406\u5f97"<\/span>,<\/span> "\u63a8\u5bfc"<\/span>,<\/span> "\u6c42\u5bfc"<\/span>,<\/span> "\u62c9\u683c\u6717\u65e5"<\/span>,<\/span> "\u7ea6\u675f"<\/span>,<\/span> "\u76ee\u6807\u51fd\u6570"<\/span>,<\/span> "\u6700\u4f18\u89e3"<\/span>,<\/span> "\u7531\u5f0f"<\/span>,<\/span> "\u8054\u7acb"<\/span>,<\/span> "\u8fed\u4ee3"<\/span>]<\/span>
\nVALIDATION_WORDS =<\/span> [<\/span>
\n "\u9a8c\u8bc1"<\/span>,<\/span> "\u68c0\u9a8c"<\/span>,<\/span> "\u62df\u5408\u4f18\u5ea6"<\/span>,<\/span> "\u51b3\u5b9a\u7cfb\u6570"<\/span>,<\/span> "R2"<\/span>,<\/span> "R\u00b2"<\/span>,<\/span> "\u5747\u65b9\u8bef\u5dee"<\/span>,<\/span> "MSE"<\/span>,<\/span> "RMSE"<\/span>,<\/span> "MAE"<\/span>,<\/span> "MAPE"<\/span>,<\/span>
\n "\u4ea4\u53c9\u9a8c\u8bc1"<\/span>,<\/span> "\u7559\u4e00\u6cd5"<\/span>,<\/span> "\u9c81\u68d2"<\/span>,<\/span> "\u654f\u611f\u6027"<\/span>,<\/span> "\u7075\u654f\u5ea6"<\/span>,<\/span> "\u8bef\u5dee"<\/span>,<\/span> "\u6b8b\u5dee"<\/span>,<\/span> "\u7f6e\u4fe1\u533a\u95f4"<\/span>,<\/span> "\u7a33\u5b9a\u6027"<\/span>,<\/span> "\u5bf9\u6bd4\u5b9e\u9a8c"<\/span>
\n]<\/span>
\nDATA_WORDS =<\/span> [<\/span>
\n "\u7f3a\u5931\u503c"<\/span>,<\/span> "\u5f02\u5e38\u503c"<\/span>,<\/span> "\u6570\u636e\u6e05\u6d17"<\/span>,<\/span> "\u6570\u636e\u9884\u5904\u7406"<\/span>,<\/span> "\u6807\u51c6\u5316"<\/span>,<\/span> "\u5f52\u4e00\u5316"<\/span>,<\/span> "\u63d2\u503c"<\/span>,<\/span> "\u53bb\u91cd"<\/span>,<\/span> "\u5e73\u6ed1"<\/span>,<\/span>
\n "\u7bb1\u7ebf\u56fe"<\/span>,<\/span> "\u4e3b\u6210\u5206"<\/span>,<\/span> "\u7279\u5f81\u5de5\u7a0b"<\/span>,<\/span> "\u7f16\u7801"<\/span>,<\/span> "\u6570\u636e\u6765\u6e90"<\/span>,<\/span> "\u722c\u866b"<\/span>,<\/span> "\u91c7\u96c6"<\/span>,<\/span> "\u6837\u672c"<\/span>,<\/span> "\u8bad\u7ec3\u96c6"<\/span>,<\/span> "\u6d4b\u8bd5\u96c6"<\/span>
\n]<\/span>
\nREPRO_WORDS =<\/span> [<\/span>"\u53c2\u6570\u8bbe\u7f6e"<\/span>,<\/span> "\u7b97\u6cd5\u6d41\u7a0b"<\/span>,<\/span> "\u4f2a\u4ee3\u7801"<\/span>,<\/span> "Python"<\/span>,<\/span> "MATLAB"<\/span>,<\/span> "\u4ee3\u7801"<\/span>,<\/span> "\u968f\u673a\u79cd\u5b50"<\/span>,<\/span> "\u8fed\u4ee3\u6b21\u6570"<\/span>,<\/span> "\u6536\u655b\u9608\u503c"<\/span>,<\/span> "\u6570\u636e\u6765\u6e90"<\/span>]<\/span>
\nINNOVATION_WORDS =<\/span> [<\/span>"\u521b\u65b0"<\/span>,<\/span> "\u6539\u8fdb"<\/span>,<\/span> "\u878d\u5408"<\/span>,<\/span> "\u8026\u5408"<\/span>,<\/span> "\u96c6\u6210"<\/span>,<\/span> "\u591a\u6a21\u578b"<\/span>,<\/span> "\u52a8\u6001"<\/span>,<\/span> "\u81ea\u9002\u5e94"<\/span>,<\/span> "\u591a\u76ee\u6807"<\/span>,<\/span> "\u5f3a\u5316\u5b66\u4e60"<\/span>,<\/span> "\u77e5\u8bc6\u56fe\u8c31"<\/span>,<\/span> "\u667a\u80fd\u4f53"<\/span>]<\/span>
\nTEMPLATE_PHRASES =<\/span> [<\/span>
\n "\u9488\u5bf9\u95ee\u9898\u4e00"<\/span>,<\/span> "\u9488\u5bf9\u95ee\u9898\u4e8c"<\/span>,<\/span> "\u9488\u5bf9\u95ee\u9898\u4e09"<\/span>,<\/span> "\u9488\u5bf9\u95ee\u9898\u56db"<\/span>,<\/span> "\u672c\u6587\u9996\u5148"<\/span>,<\/span> "\u672c\u6587\u901a\u8fc7"<\/span>,<\/span> "\u672c\u6587\u6784\u5efa"<\/span>,<\/span>
\n "\u57fa\u4e8e\u4e0a\u8ff0\u7ed3\u679c\u8fdb\u4e00\u6b65"<\/span>,<\/span> "\u5728\u6b64\u57fa\u7840\u4e0a\u8fdb\u4e00\u6b65\u8003\u8651"<\/span>,<\/span> "\u7531\u6b64\u53ef\u5f97"<\/span>,<\/span> "\u8fd9\u8868\u660e"<\/span>,<\/span> "\u7efc\u4e0a\u6240\u8ff0"<\/span>
\n]<\/span>
\nMETHODS =<\/span> [<\/span>
\n "\u5c42\u6b21\u5206\u6790\u6cd5"<\/span>,<\/span> "AHP"<\/span>,<\/span> "\u71b5\u6743\u6cd5"<\/span>,<\/span> "CRITIC"<\/span>,<\/span> "TOPSIS"<\/span>,<\/span> "\u4e3b\u6210\u5206\u5206\u6790"<\/span>,<\/span> "PCA"<\/span>,<\/span> "\u56e0\u5b50\u5206\u6790"<\/span>,<\/span>
\n "\u7ebf\u6027\u56de\u5f52"<\/span>,<\/span> "\u591a\u5143\u56de\u5f52"<\/span>,<\/span> "\u903b\u8f91\u56de\u5f52"<\/span>,<\/span> "\u5cad\u56de\u5f52"<\/span>,<\/span> "LASSO"<\/span>,<\/span> "\u5f39\u6027\u7f51\u7edc"<\/span>,<\/span> "\u652f\u6301\u5411\u91cf\u673a"<\/span>,<\/span> "SVM"<\/span>,<\/span>
\n "\u968f\u673a\u68ee\u6797"<\/span>,<\/span> "XGBoost"<\/span>,<\/span> "\u795e\u7ecf\u7f51\u7edc"<\/span>,<\/span> "LSTM"<\/span>,<\/span> "ARIMA"<\/span>,<\/span> "\u7070\u8272\u9884\u6d4b"<\/span>,<\/span> "GM(1,1)"<\/span>,<\/span> "\u805a\u7c7b"<\/span>,<\/span>
\n "K-means"<\/span>,<\/span> "\u9057\u4f20\u7b97\u6cd5"<\/span>,<\/span> "\u7c92\u5b50\u7fa4"<\/span>,<\/span> "\u6a21\u62df\u9000\u706b"<\/span>,<\/span> "\u8681\u7fa4\u7b97\u6cd5"<\/span>,<\/span> "NSGA"<\/span>,<\/span> "\u6574\u6570\u89c4\u5212"<\/span>,<\/span> "\u7ebf\u6027\u89c4\u5212"<\/span>,<\/span>
\n "\u975e\u7ebf\u6027\u89c4\u5212"<\/span>,<\/span> "\u591a\u76ee\u6807\u89c4\u5212"<\/span>,<\/span> "\u7cfb\u7edf\u52a8\u529b\u5b66"<\/span>,<\/span> "\u7ed3\u6784\u65b9\u7a0b"<\/span>,<\/span> "SEM"<\/span>,<\/span> "\u5fb7\u5c14\u83f2\u6cd5"<\/span>,<\/span> "\u535a\u5f08\u8bba"<\/span>,<\/span>
\n "\u5f3a\u5316\u5b66\u4e60"<\/span>,<\/span> "\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60"<\/span>,<\/span> "\u9a6c\u5c14\u53ef\u592b"<\/span>,<\/span> "\u8499\u7279\u5361\u6d1b"<\/span>,<\/span> "Bootstrap"<\/span>,<\/span> "\u8d1d\u53f6\u65af"<\/span>,<\/span> "\u6a21\u7cca\u7efc\u5408\u8bc4\u4ef7"<\/span>,<\/span>
\n "\u7070\u8272\u5173\u8054"<\/span>,<\/span> "\u71b5\u503c\u6cd5"<\/span>,<\/span> "\u795e\u7ecf\u7f51\u7edc"<\/span>,<\/span> "\u65f6\u95f4\u5e8f\u5217"<\/span>,<\/span> "\u7a7a\u95f4\u5206\u6790"<\/span>,<\/span> "\u6838\u5bc6\u5ea6"<\/span>,<\/span> "GIS"<\/span>
\n]<\/span>
\nTOPIC_LEXICON =<\/span> {<\/span>
\n "A"<\/span>:<\/span> [<\/span>"\u5eb7\u517b"<\/span>,<\/span> "\u517b\u8001"<\/span>,<\/span> "\u533b\u7597"<\/span>,<\/span> "\u8d44\u6e90"<\/span>,<\/span> "\u57ce\u5e02"<\/span>,<\/span> "\u516c\u5e73"<\/span>,<\/span> "\u8986\u76d6"<\/span>,<\/span> "\u8bbe\u65bd"<\/span>,<\/span> "\u7a7a\u95f4"<\/span>,<\/span> "\u914d\u7f6e"<\/span>,<\/span> "\u8001\u9f84\u5316"<\/span>]<\/span>,<\/span>
\n "B"<\/span>:<\/span> [<\/span>"\u6559\u5e08"<\/span>,<\/span> "\u6570\u5b57\u80dc\u4efb\u529b"<\/span>,<\/span> "\u6570\u5b57\u7d20\u517b"<\/span>,<\/span> "\u9ad8\u6821"<\/span>,<\/span> "\u6559\u80b2\u6570\u5b57\u5316"<\/span>,<\/span> "\u589e\u503c"<\/span>,<\/span> "\u6559\u5b66"<\/span>,<\/span> "\u57f9\u8bad"<\/span>,<\/span> "\u804c\u79f0"<\/span>]<\/span>,<\/span>
\n "C"<\/span>:<\/span> [<\/span>"\u5fe7\u90c1"<\/span>,<\/span> "\u6291\u90c1"<\/span>,<\/span> "\u60c5\u7eea"<\/span>,<\/span> "\u5fc3\u7406"<\/span>,<\/span> "\u6cbb\u7597"<\/span>,<\/span> "\u9884\u6d4b"<\/span>,<\/span> "\u751f\u7406"<\/span>,<\/span> "\u8bed\u97f3"<\/span>,<\/span> "\u8868\u60c5"<\/span>]<\/span>
\n}<\/span>
\nTOPIC_METHODS =<\/span> {<\/span>
\n "A"<\/span>:<\/span> [<\/span>"\u7a7a\u95f4\u5206\u6790"<\/span>,<\/span> "\u6838\u5bc6\u5ea6"<\/span>,<\/span> "GIS"<\/span>,<\/span> "\u591a\u76ee\u6807\u89c4\u5212"<\/span>,<\/span> "\u6574\u6570\u89c4\u5212"<\/span>,<\/span> "\u9057\u4f20\u7b97\u6cd5"<\/span>,<\/span> "\u7c92\u5b50\u7fa4"<\/span>,<\/span> "\u5f3a\u5316\u5b66\u4e60"<\/span>,<\/span> "\u8986\u76d6"<\/span>,<\/span> "\u516c\u5e73"<\/span>]<\/span>,<\/span>
\n "B"<\/span>:<\/span> [<\/span>"\u5c42\u6b21\u5206\u6790\u6cd5"<\/span>,<\/span> "AHP"<\/span>,<\/span> "\u5fb7\u5c14\u83f2\u6cd5"<\/span>,<\/span> "\u7ed3\u6784\u65b9\u7a0b"<\/span>,<\/span> "SEM"<\/span>,<\/span> "\u591a\u5143\u56de\u5f52"<\/span>,<\/span> "\u7cfb\u7edf\u52a8\u529b\u5b66"<\/span>,<\/span> "\u589e\u503c\u8bc4\u4ef7"<\/span>,<\/span> "XGBoost"<\/span>]<\/span>,<\/span>
\n "C"<\/span>:<\/span> [<\/span>"\u903b\u8f91\u56de\u5f52"<\/span>,<\/span> "\u652f\u6301\u5411\u91cf\u673a"<\/span>,<\/span> "\u968f\u673a\u68ee\u6797"<\/span>,<\/span> "XGBoost"<\/span>,<\/span> "\u795e\u7ecf\u7f51\u7edc"<\/span>,<\/span> "LSTM"<\/span>,<\/span> "\u65f6\u95f4\u5e8f\u5217"<\/span>,<\/span> "\u5206\u7c7b"<\/span>]<\/span>
\n}<\/span><\/p>\n

INDICATOR_GROUPS =<\/span> {<\/span>
\n "\u7ed3\u6784\u89c4\u8303\u6027"<\/span>:<\/span> [<\/span>"S1\u7ed3\u6784\u5b8c\u6574\u5ea6"<\/span>,<\/span> "S2\u5c42\u7ea7\u89c4\u8303\u5ea6"<\/span>,<\/span> "S3\u53c2\u8003\u6587\u732e\u89c4\u8303\u5ea6"<\/span>]<\/span>,<\/span>
\n "\u903b\u8f91\u4e25\u5bc6\u6027"<\/span>:<\/span> [<\/span>"L1\u903b\u8f91\u8854\u63a5\u9002\u5ea6"<\/span>,<\/span> "L2\u5047\u8bbe\u95ee\u9898\u5339\u914d\u5ea6"<\/span>,<\/span> "L3\u516c\u5f0f\u63a8\u5bfc\u5b8c\u6574\u6027"<\/span>,<\/span> "L4\u8bba\u8bc1\u94fe\u95ed\u5408\u5ea6"<\/span>]<\/span>,<\/span>
\n "\u65b9\u6cd5\u5408\u7406\u6027"<\/span>:<\/span> [<\/span>"M1\u65b9\u6cd5\u95ee\u9898\u9002\u914d\u5ea6"<\/span>,<\/span> "M2\u65b9\u6cd5\u591a\u6837\u4e0e\u4e92\u8bc1"<\/span>,<\/span> "M3\u6570\u636e\u9884\u5904\u7406\u5145\u5206\u5ea6"<\/span>]<\/span>,<\/span>
\n "\u7ed3\u679c\u53ef\u4fe1\u5ea6"<\/span>:<\/span> [<\/span>"R1\u68c0\u9a8c\u9a8c\u8bc1\u5145\u5206\u5ea6"<\/span>,<\/span> "R2\u56fe\u8868\u8bc1\u636e\u5145\u5206\u5ea6"<\/span>,<\/span> "R3\u53ef\u590d\u73b0\u6027"<\/span>]<\/span>,<\/span>
\n "\u521b\u65b0\u8868\u8fbe\u6027"<\/span>:<\/span> [<\/span>"I1\u6a21\u578b\u521b\u65b0\u5ea6"<\/span>,<\/span> "I2\u5b66\u672f\u8868\u8fbe\u8d28\u91cf"<\/span>]<\/span>,<\/span>
\n}<\/span>
\nINDICATORS =<\/span> [<\/span>x for<\/span> v in<\/span> INDICATOR_GROUPS.<\/span>values(<\/span>)<\/span> for<\/span> x in<\/span> v]<\/span><\/p>\n

# —————————- \u901a\u7528\u51fd\u6570 —————————-<\/span>
\ndef<\/span> count_terms<\/span>(<\/span>text:<\/span> str<\/span>,<\/span> terms:<\/span> Sequence[<\/span>str<\/span>]<\/span>)<\/span> –<\/span>><\/span> int<\/span>:<\/span>
\n return<\/span> int<\/span>(<\/span>sum<\/span>(<\/span>text.<\/span>count(<\/span>t)<\/span> for<\/span> t in<\/span> terms)<\/span>)<\/span><\/p>\n

def<\/span> clip01<\/span>(<\/span>x:<\/span> float<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n return<\/span> float<\/span>(<\/span>max<\/span>(<\/span>0.0<\/span>,<\/span> min<\/span>(<\/span>1.0<\/span>,<\/span> x)<\/span>)<\/span>)<\/span><\/p>\n

def<\/span> sat<\/span>(<\/span>x:<\/span> float<\/span>,<\/span> scale:<\/span> float<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n """\u5355\u8c03\u9971\u548c\u51fd\u6570\u3002"""<\/span>
\n return<\/span> clip01(<\/span>1.0<\/span> –<\/span> math.<\/span>exp(<\/span>–<\/span>max<\/span>(<\/span>0.0<\/span>,<\/span> x)<\/span> \/<\/span> max<\/span>(<\/span>scale,<\/span> 1e-9<\/span>)<\/span>)<\/span>)<\/span><\/p>\n

def<\/span> optimal_score<\/span>(<\/span>x:<\/span> float<\/span>,<\/span> center:<\/span> float<\/span>,<\/span> width:<\/span> float<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n """\u9002\u5ea6\u578b\u6307\u6807，\u8d8a\u63a5\u8fd1 center \u8d8a\u597d\u3002"""<\/span>
\n return<\/span> float<\/span>(<\/span>math.<\/span>exp(<\/span>–<\/span>(<\/span>(<\/span>x –<\/span> center)<\/span> \/<\/span> max<\/span>(<\/span>width,<\/span> 1e-9<\/span>)<\/span>)<\/span> **<\/span> 2<\/span>)<\/span>)<\/span><\/p>\n

def<\/span> infer_topic<\/span>(<\/span>text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
\n # \u4f18\u5148\u8bfb\u53d6\u5c01\u9762\u201c\u9009\u9898\u201d<\/span>
\n m =<\/span> re.<\/span>search(<\/span>r"\u9009\u9898\\\\s*([ABC])\\\\s*\u9898"<\/span>,<\/span> text[<\/span>:<\/span>2000<\/span>]<\/span>,<\/span> flags=<\/span>re.<\/span>I)<\/span>
\n if<\/span> m:<\/span>
\n return<\/span> m.<\/span>group(<\/span>1<\/span>)<\/span>.<\/span>upper(<\/span>)<\/span>
\n scores =<\/span> {<\/span>k:<\/span> count_terms(<\/span>text[<\/span>:<\/span>10000<\/span>]<\/span>,<\/span> v)<\/span> for<\/span> k,<\/span> v in<\/span> TOPIC_LEXICON.<\/span>items(<\/span>)<\/span>}<\/span>
\n return<\/span> max<\/span>(<\/span>scores,<\/span> key=<\/span>scores.<\/span>get)<\/span><\/p>\n

def<\/span> split_sentences<\/span>(<\/span>text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> List[<\/span>str<\/span>]<\/span>:<\/span>
\n items =<\/span> re.<\/span>split(<\/span>r"[\u3002！？!?；;\\\\n]+"<\/span>,<\/span> text)<\/span>
\n return<\/span> [<\/span>x.<\/span>strip(<\/span>)<\/span> for<\/span> x in<\/span> items if<\/span> len<\/span>(<\/span>x.<\/span>strip(<\/span>)<\/span>)<\/span> >=<\/span> 6<\/span>]<\/span><\/p>\n

def<\/span> char_ngrams<\/span>(<\/span>text:<\/span> str<\/span>,<\/span> n:<\/span> int<\/span> =<\/span> 4<\/span>)<\/span> –<\/span>><\/span> List[<\/span>str<\/span>]<\/span>:<\/span>
\n t =<\/span> re.<\/span>sub(<\/span>r"\\\\s+"<\/span>,<\/span> ""<\/span>,<\/span> text)<\/span>
\n t =<\/span> re.<\/span>sub(<\/span>r"[^\\\\u4e00-\\\\u9fffA-Za-z0-9]"<\/span>,<\/span> ""<\/span>,<\/span> t)<\/span>
\n return<\/span> [<\/span>t[<\/span>i:<\/span>i+<\/span>n]<\/span> for<\/span> i in<\/span> range<\/span>(<\/span>max<\/span>(<\/span>0<\/span>,<\/span> len<\/span>(<\/span>t)<\/span>–<\/span>n+<\/span>1<\/span>)<\/span>)<\/span>]<\/span><\/p>\n

def<\/span> ratio_reference_norm<\/span>(<\/span>ref_text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n lines =<\/span> [<\/span>x.<\/span>strip(<\/span>)<\/span> for<\/span> x in<\/span> ref_text.<\/span>splitlines(<\/span>)<\/span> if<\/span> len<\/span>(<\/span>x.<\/span>strip(<\/span>)<\/span>)<\/span> ><\/span> 5<\/span>]<\/span>
\n lines =<\/span> [<\/span>x for<\/span> x in<\/span> lines if<\/span> not<\/span> re.<\/span>fullmatch(<\/span>r"\\\\d+"<\/span>,<\/span> x)<\/span>]<\/span>
\n if<\/span> not<\/span> lines:<\/span>
\n return<\/span> 0.0<\/span>
\n valid =<\/span> 0<\/span>
\n for<\/span> line in<\/span> lines:<\/span>
\n has_index =<\/span> bool<\/span>(<\/span>re.<\/span>search(<\/span>r"^\\\\s*[\\\\[\u3010]?\\\\d+[\\\\]\u3011\\\\.\u3001]"<\/span>,<\/span> line)<\/span>)<\/span>
\n has_year =<\/span> bool<\/span>(<\/span>re.<\/span>search(<\/span>r"(19|20)\\\\d{2}"<\/span>,<\/span> line)<\/span>)<\/span>
\n has_type =<\/span> bool<\/span>(<\/span>re.<\/span>search(<\/span>r"\\\\[[JMCDRNEB]\\\\]"<\/span>,<\/span> line,<\/span> re.<\/span>I)<\/span>)<\/span>
\n has_punc =<\/span> sum<\/span>(<\/span>line.<\/span>count(<\/span>p)<\/span> for<\/span> p in<\/span> [<\/span>"."<\/span>,<\/span> "，"<\/span>,<\/span> ","<\/span>,<\/span> "："<\/span>,<\/span> ":"<\/span>]<\/span>)<\/span> >=<\/span> 2<\/span>
\n if<\/span> (<\/span>has_index and<\/span> has_year)<\/span> or<\/span> (<\/span>has_year and<\/span> has_type)<\/span> or<\/span> (<\/span>has_index and<\/span> has_punc)<\/span>:<\/span>
\n valid +=<\/span> 1<\/span>
\n return<\/span> valid \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> len<\/span>(<\/span>lines)<\/span>)<\/span><\/p>\n

def<\/span> extract_reference_section<\/span>(<\/span>text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
\n pos =<\/span> text.<\/span>rfind(<\/span>"\u53c2\u8003\u6587\u732e"<\/span>)<\/span>
\n if<\/span> pos <<\/span> 0<\/span>:<\/span>
\n return<\/span> ""<\/span>
\n section =<\/span> text[<\/span>pos:<\/span>]<\/span>
\n # \u9644\u5f55\u4e4b\u540e\u4e0d\u518d\u8ba1\u5165<\/span>
\n ap =<\/span> section.<\/span>find(<\/span>"\u9644\u5f55"<\/span>)<\/span>
\n if<\/span> ap ><\/span> 0<\/span>:<\/span>
\n section =<\/span> section[<\/span>:<\/span>ap]<\/span>
\n return<\/span> section[<\/span>:<\/span>12000<\/span>]<\/span><\/p>\n

def<\/span> estimate_formula_count<\/span>(<\/span>lines:<\/span> Sequence[<\/span>str<\/span>]<\/span>,<\/span> drawings:<\/span> int<\/span>)<\/span> –<\/span>><\/span> int<\/span>:<\/span>
\n formula_lines =<\/span> 0<\/span>
\n math_pat =<\/span> re.<\/span>compile<\/span>(<\/span>r"[=\u2211\u03a3\u220f\u221a\u222b\u2264\u2265\u2248\u00b1\u00d7\u00f7]|\\\\b(?:arg|min|max|sin|cos|exp|ln|log)\\\\b"<\/span>,<\/span> re.<\/span>I)<\/span>
\n for<\/span> line in<\/span> lines:<\/span>
\n s =<\/span> line.<\/span>strip(<\/span>)<\/span>
\n if<\/span> 3<\/span> <=<\/span> len<\/span>(<\/span>s)<\/span> <=<\/span> 180<\/span> and<\/span> math_pat.<\/span>search(<\/span>s)<\/span>:<\/span>
\n # \u6392\u9664\u666e\u901a\u76ee\u5f55\u4e2d\u7684\u7b49\u53f7\u566a\u58f0<\/span>
\n if<\/span> sum<\/span>(<\/span>ch.<\/span>isdigit(<\/span>)<\/span> for<\/span> ch in<\/span> s)<\/span> +<\/span> count_terms(<\/span>s,<\/span> [<\/span>"="<\/span>,<\/span> "\u2211"<\/span>,<\/span> "\u221a"<\/span>,<\/span> "\u2264"<\/span>,<\/span> "\u2265"<\/span>]<\/span>)<\/span> >=<\/span> 2<\/span>:<\/span>
\n formula_lines +=<\/span> 1<\/span>
\n # PDF\u77e2\u91cf\u7ed8\u56fe\u4e2d\u5e38\u5305\u542b\u516c\u5f0f\u7ec4\u4ef6，\u6298\u7b97\u540e\u4f5c\u4e3a\u8865\u5145<\/span>
\n return<\/span> int<\/span>(<\/span>formula_lines +<\/span> min<\/span>(<\/span>drawings \/<\/span> 25.0<\/span>,<\/span> 80<\/span>)<\/span>)<\/span><\/p>\n

def<\/span> detect_heading_positions<\/span>(<\/span>text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> Dict[<\/span>str<\/span>,<\/span> int<\/span>]<\/span>:<\/span>
\n pos =<\/span> {<\/span>}<\/span>
\n for<\/span> key,<\/span> variants in<\/span> STRUCTURE_KEYS.<\/span>items(<\/span>)<\/span>:<\/span>
\n p =<\/span> min<\/span>(<\/span>[<\/span>text.<\/span>find(<\/span>v)<\/span> for<\/span> v in<\/span> variants if<\/span> text.<\/span>find(<\/span>v)<\/span> >=<\/span> 0<\/span>]<\/span> or<\/span> [<\/span>–<\/span>1<\/span>]<\/span>)<\/span>
\n pos[<\/span>key]<\/span> =<\/span> p
\n return<\/span> pos<\/p>\n

def<\/span> heading_order_score<\/span>(<\/span>pos:<\/span> Dict[<\/span>str<\/span>,<\/span> int<\/span>]<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n expected =<\/span> [<\/span>"\u6458\u8981"<\/span>,<\/span> "\u5173\u952e\u8bcd"<\/span>,<\/span> "\u95ee\u9898\u91cd\u8ff0"<\/span>,<\/span> "\u95ee\u9898\u5206\u6790"<\/span>,<\/span> "\u6a21\u578b\u5047\u8bbe"<\/span>,<\/span> "\u7b26\u53f7\u8bf4\u660e"<\/span>,<\/span> "\u6a21\u578b\u5efa\u7acb"<\/span>,<\/span> "\u6a21\u578b\u6c42\u89e3"<\/span>,<\/span> "\u68c0\u9a8c\u8bc4\u4ef7"<\/span>,<\/span> "\u53c2\u8003\u6587\u732e"<\/span>,<\/span> "\u9644\u5f55"<\/span>]<\/span>
\n observed =<\/span> [<\/span>(<\/span>k,<\/span> pos[<\/span>k]<\/span>)<\/span> for<\/span> k in<\/span> expected if<\/span> pos.<\/span>get(<\/span>k,<\/span> –<\/span>1<\/span>)<\/span> >=<\/span> 0<\/span>]<\/span>
\n if<\/span> len<\/span>(<\/span>observed)<\/span> <=<\/span> 2<\/span>:<\/span>
\n return<\/span> 0.25<\/span> *<\/span> len<\/span>(<\/span>observed)<\/span> \/<\/span> 2<\/span>
\n seq =<\/span> [<\/span>expected.<\/span>index(<\/span>k)<\/span> for<\/span> k,<\/span> _ in<\/span> sorted<\/span>(<\/span>observed,<\/span> key=<\/span>lambda<\/span> z:<\/span> z[<\/span>1<\/span>]<\/span>)<\/span>]<\/span>
\n concordant =<\/span> 0<\/span>
\n total =<\/span> 0<\/span>
\n for<\/span> i in<\/span> range<\/span>(<\/span>len<\/span>(<\/span>seq)<\/span>)<\/span>:<\/span>
\n for<\/span> j in<\/span> range<\/span>(<\/span>i+<\/span>1<\/span>,<\/span> len<\/span>(<\/span>seq)<\/span>)<\/span>:<\/span>
\n total +=<\/span> 1<\/span>
\n concordant +=<\/span> int<\/span>(<\/span>seq[<\/span>i]<\/span> <<\/span> seq[<\/span>j]<\/span>)<\/span>
\n return<\/span> concordant \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> total)<\/span><\/p>\n

def<\/span> extract_pdf_features<\/span>(<\/span>path:<\/span> Path,<\/span> group:<\/span> str<\/span>)<\/span> –<\/span>><\/span> Dict[<\/span>str<\/span>,<\/span> float<\/span> |<\/span> str<\/span> |<\/span> bool<\/span>]<\/span>:<\/span>
\n doc =<\/span> fitz.<\/span>open<\/span>(<\/span>path)<\/span>
\n page_texts =<\/span> [<\/span>]<\/span>
\n image_count =<\/span> 0<\/span>
\n drawings =<\/span> 0<\/span>
\n text_blocks =<\/span> 0<\/span>
\n page_areas =<\/span> [<\/span>]<\/span>
\n for<\/span> page in<\/span> doc:<\/span>
\n t =<\/span> page.<\/span>get_text(<\/span>"text"<\/span>)<\/span> or<\/span> ""<\/span>
\n page_texts.<\/span>append(<\/span>t)<\/span>
\n image_count +=<\/span> len<\/span>(<\/span>page.<\/span>get_images(<\/span>full=<\/span>True<\/span>)<\/span>)<\/span>
\n try<\/span>:<\/span>
\n drawings +=<\/span> len<\/span>(<\/span>page.<\/span>get_drawings(<\/span>)<\/span>)<\/span>
\n except<\/span> Exception:<\/span>
\n pass<\/span>
\n try<\/span>:<\/span>
\n text_blocks +=<\/span> len<\/span>(<\/span>page.<\/span>get_text(<\/span>"blocks"<\/span>)<\/span>)<\/span>
\n except<\/span> Exception:<\/span>
\n pass<\/span>
\n page_areas.<\/span>append(<\/span>float<\/span>(<\/span>page.<\/span>rect.<\/span>width *<\/span> page.<\/span>rect.<\/span>height)<\/span>)<\/span>
\n text =<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>page_texts)<\/span>
\n text_clean =<\/span> re.<\/span>sub(<\/span>r"[ \\\\t]+"<\/span>,<\/span> ""<\/span>,<\/span> text)<\/span>
\n chars =<\/span> len<\/span>(<\/span>re.<\/span>sub(<\/span>r"\\\\s+"<\/span>,<\/span> ""<\/span>,<\/span> text)<\/span>)<\/span>
\n pages =<\/span> len<\/span>(<\/span>doc)<\/span>
\n lines =<\/span> [<\/span>x.<\/span>strip(<\/span>)<\/span> for<\/span> x in<\/span> text.<\/span>splitlines(<\/span>)<\/span> if<\/span> x.<\/span>strip(<\/span>)<\/span>]<\/span>
\n sentences =<\/span> split_sentences(<\/span>text)<\/span>
\n para_lengths =<\/span> np.<\/span>array(<\/span>[<\/span>len<\/span>(<\/span>re.<\/span>sub(<\/span>r"\\\\s+"<\/span>,<\/span> ""<\/span>,<\/span> x)<\/span>)<\/span> for<\/span> x in<\/span> lines if<\/span> len<\/span>(<\/span>x)<\/span> >=<\/span> 8<\/span>]<\/span>,<\/span> dtype=<\/span>float<\/span>)<\/span>
\n sent_lengths =<\/span> np.<\/span>array(<\/span>[<\/span>len<\/span>(<\/span>re.<\/span>sub(<\/span>r"\\\\s+"<\/span>,<\/span> ""<\/span>,<\/span> x)<\/span>)<\/span> for<\/span> x in<\/span> sentences]<\/span>,<\/span> dtype=<\/span>float<\/span>)<\/span>
\n topic =<\/span> infer_topic(<\/span>text)<\/span>
\n scan_flag =<\/span> chars <<\/span> max<\/span>(<\/span>1000<\/span>,<\/span> pages *<\/span> 120<\/span>)<\/span>
\n extraction_reliability =<\/span> clip01(<\/span>chars \/<\/span> max<\/span>(<\/span>1.0<\/span>,<\/span> pages *<\/span> 550.0<\/span>)<\/span>)<\/span><\/p>\n

positions =<\/span> detect_heading_positions(<\/span>text)<\/span>
\n struct_present =<\/span> {<\/span>k:<\/span> int<\/span>(<\/span>v >=<\/span> 0<\/span>)<\/span> for<\/span> k,<\/span> v in<\/span> positions.<\/span>items(<\/span>)<\/span>}<\/span>
\n struct_count =<\/span> sum<\/span>(<\/span>struct_present.<\/span>values(<\/span>)<\/span>)<\/span>
\n order_score =<\/span> heading_order_score(<\/span>positions)<\/span><\/p>\n

ref_section =<\/span> extract_reference_section(<\/span>text)<\/span>
\n ref_lines =<\/span> [<\/span>x for<\/span> x in<\/span> ref_section.<\/span>splitlines(<\/span>)<\/span>[<\/span>1<\/span>:<\/span>]<\/span> if<\/span> len<\/span>(<\/span>x.<\/span>strip(<\/span>)<\/span>)<\/span> ><\/span> 8<\/span>]<\/span>
\n refs_count =<\/span> sum<\/span>(<\/span>bool<\/span>(<\/span>re.<\/span>search(<\/span>r"^\\\\s*[\\\\[\u3010]?\\\\d+[\\\\]\u3011\\\\.\u3001]"<\/span>,<\/span> x)<\/span>)<\/span> for<\/span> x in<\/span> ref_lines)<\/span>
\n if<\/span> refs_count ==<\/span> 0<\/span> and<\/span> ref_section:<\/span>
\n refs_count =<\/span> max<\/span>(<\/span>0<\/span>,<\/span> len<\/span>(<\/span>ref_lines)<\/span> \/\/<\/span> 2<\/span>)<\/span>
\n ref_norm =<\/span> ratio_reference_norm(<\/span>ref_section)<\/span>
\n intext_citations =<\/span> len<\/span>(<\/span>re.<\/span>findall(<\/span>r"[\\\\[\u3010]\\\\d{1,3}[\\\\]\u3011]"<\/span>,<\/span> text)<\/span>)<\/span><\/p>\n

formula_count =<\/span> estimate_formula_count(<\/span>lines,<\/span> drawings)<\/span>
\n fig_count =<\/span> len<\/span>(<\/span>re.<\/span>findall(<\/span>r"(?:\u56fe|Figure|Fig\\\\.)\\\\s*\\\\d+"<\/span>,<\/span> text,<\/span> flags=<\/span>re.<\/span>I)<\/span>)<\/span>
\n table_count =<\/span> len<\/span>(<\/span>re.<\/span>findall(<\/span>r"(?:\u8868|Table)\\\\s*\\\\d+"<\/span>,<\/span> text,<\/span> flags=<\/span>re.<\/span>I)<\/span>)<\/span>
\n equation_refs =<\/span> len<\/span>(<\/span>re.<\/span>findall(<\/span>r"(?:\u5f0f|\u516c\u5f0f)\\\\s*[（(]?\\\\d+[）)]?"<\/span>,<\/span> text)<\/span>)<\/span>
\n numbered_headings =<\/span> len<\/span>(<\/span>re.<\/span>findall(<\/span>r"(?:^|\\\\n)\\\\s*(?:\u7b2c?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341]+[\u7ae0\u8282]|\\\\d+(?:\\\\.\\\\d+){0,3})\\\\s*[^\\\\n]{2,30}"<\/span>,<\/span> text)<\/span>)<\/span><\/p>\n

logic_count =<\/span> count_terms(<\/span>text,<\/span> LOGIC_WORDS)<\/span>
\n derivation_count =<\/span> count_terms(<\/span>text,<\/span> DERIVATION_WORDS)<\/span>
\n validation_count =<\/span> count_terms(<\/span>text,<\/span> VALIDATION_WORDS)<\/span>
\n data_count =<\/span> count_terms(<\/span>text,<\/span> DATA_WORDS)<\/span>
\n repro_count =<\/span> count_terms(<\/span>text,<\/span> REPRO_WORDS)<\/span>
\n innovation_count =<\/span> count_terms(<\/span>text,<\/span> INNOVATION_WORDS)<\/span>
\n template_count =<\/span> count_terms(<\/span>text,<\/span> TEMPLATE_PHRASES)<\/span>
\n methods_found =<\/span> sorted<\/span>(<\/span>{<\/span>m for<\/span> m in<\/span> METHODS if<\/span> m.<\/span>lower(<\/span>)<\/span> in<\/span> text.<\/span>lower(<\/span>)<\/span>}<\/span>)<\/span>
\n topic_methods_found =<\/span> sorted<\/span>(<\/span>{<\/span>m for<\/span> m in<\/span> TOPIC_METHODS[<\/span>topic]<\/span> if<\/span> m.<\/span>lower(<\/span>)<\/span> in<\/span> text.<\/span>lower(<\/span>)<\/span>}<\/span>)<\/span><\/p>\n

topic_count =<\/span> count_terms(<\/span>text[<\/span>:<\/span>15000<\/span>]<\/span>,<\/span> TOPIC_LEXICON[<\/span>topic]<\/span>)<\/span>
\n other_topic_count =<\/span> sum<\/span>(<\/span>count_terms(<\/span>text[<\/span>:<\/span>15000<\/span>]<\/span>,<\/span> v)<\/span> for<\/span> k,<\/span> v in<\/span> TOPIC_LEXICON.<\/span>items(<\/span>)<\/span> if<\/span> k !=<\/span> topic)<\/span>
\n topic_purity =<\/span> topic_count \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> topic_count +<\/span> other_topic_count)<\/span>
\n assumptions_pos =<\/span> positions.<\/span>get(<\/span>"\u6a21\u578b\u5047\u8bbe"<\/span>,<\/span> –<\/span>1<\/span>)<\/span>
\n assumption_text =<\/span> text[<\/span>assumptions_pos:<\/span>assumptions_pos+<\/span>5000<\/span>]<\/span> if<\/span> assumptions_pos >=<\/span> 0<\/span> else<\/span> ""<\/span>
\n assumption_topic_overlap =<\/span> count_terms(<\/span>assumption_text,<\/span> TOPIC_LEXICON[<\/span>topic]<\/span>)<\/span> \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> len<\/span>(<\/span>TOPIC_LEXICON[<\/span>topic]<\/span>)<\/span>)<\/span><\/p>\n

# \u95ee\u9898\u8986\u76d6：\u6458\u8981\/\u6b63\u6587\u4e2d\u95ee\u9898\u4e00\u81f3\u95ee\u9898\u56db\u7684\u8986\u76d6\u60c5\u51b5<\/span>
\n problem_mentions =<\/span> 0<\/span>
\n for<\/span> p in<\/span> [<\/span>"\u4e00"<\/span>,<\/span> "\u4e8c"<\/span>,<\/span> "\u4e09"<\/span>,<\/span> "\u56db"<\/span>,<\/span> "1"<\/span>,<\/span> "2"<\/span>,<\/span> "3"<\/span>,<\/span> "4"<\/span>]<\/span>:<\/span>
\n if<\/span> re.<\/span>search(<\/span>rf"(?:\u95ee\u9898|\u9488\u5bf9\u95ee\u9898)\\\\s*<\/span>{<\/span>p}<\/span><\/span>"<\/span><\/span>,<\/span> text[<\/span>:<\/span>12000<\/span>]<\/span>)<\/span>:<\/span>
\n problem_mentions +=<\/span> 1<\/span>
\n problem_mentions =<\/span> min<\/span>(<\/span>problem_mentions,<\/span> 4<\/span>)<\/span><\/p>\n

# \u8bed\u8a00\u98ce\u683c\u7279\u5f81<\/span>
\n ngrams =<\/span> char_ngrams(<\/span>text[<\/span>:<\/span>60000<\/span>]<\/span>,<\/span> 4<\/span>)<\/span>
\n if<\/span> ngrams:<\/span>
\n c =<\/span> Counter(<\/span>ngrams)<\/span>
\n repeated =<\/span> sum<\/span>(<\/span>v–<\/span>1<\/span> for<\/span> v in<\/span> c.<\/span>values(<\/span>)<\/span> if<\/span> v ><\/span> 1<\/span>)<\/span>
\n repeat_ngram_rate =<\/span> repeated \/<\/span> len<\/span>(<\/span>ngrams)<\/span>
\n lexical_diversity =<\/span> len<\/span>(<\/span>c)<\/span> \/<\/span> len<\/span>(<\/span>ngrams)<\/span>
\n top_ngram_share =<\/span> sum<\/span>(<\/span>v for<\/span> _,<\/span> v in<\/span> c.<\/span>most_common(<\/span>20<\/span>)<\/span>)<\/span> \/<\/span> len<\/span>(<\/span>ngrams)<\/span>
\n else<\/span>:<\/span>
\n repeat_ngram_rate =<\/span> 1.0<\/span>
\n lexical_diversity =<\/span> 0.0<\/span>
\n top_ngram_share =<\/span> 1.0<\/span>
\n sentence_len_cv =<\/span> float<\/span>(<\/span>np.<\/span>std(<\/span>sent_lengths)<\/span> \/<\/span> max<\/span>(<\/span>np.<\/span>mean(<\/span>sent_lengths)<\/span>,<\/span> 1<\/span>)<\/span>)<\/span> if<\/span> len<\/span>(<\/span>sent_lengths)<\/span> ><\/span> 2<\/span> else<\/span> 0.0<\/span>
\n paragraph_len_cv =<\/span> float<\/span>(<\/span>np.<\/span>std(<\/span>para_lengths)<\/span> \/<\/span> max<\/span>(<\/span>np.<\/span>mean(<\/span>para_lengths)<\/span>,<\/span> 1<\/span>)<\/span>)<\/span> if<\/span> len<\/span>(<\/span>para_lengths)<\/span> ><\/span> 2<\/span> else<\/span> 0.0<\/span>
\n digit_density =<\/span> sum<\/span>(<\/span>ch.<\/span>isdigit(<\/span>)<\/span> for<\/span> ch in<\/span> text)<\/span> \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> chars)<\/span><\/p>\n

\u5168\u90e8\u8bba\u6587\u8bf7\u89c1\u4e0b\u65b9\u201c \u53ea\u4f1a\u5efa\u6a21 QQ\u540d\u7247\u201d \u70b9\u51fbQQ\u540d\u7247\u5373\u53ef<\/h6>\n","protected":false},"excerpt":{"rendered":"

2026\u5e74\u4e2d\u9752\u676f\u6570\u5b66\u5efa\u6a21
\nA\u9898 \u6570\u5b66\u5efa\u6a21\u8bba\u6587\u667a\u80fd\u8bc4\u4f30\u7cfb\u7edf\u4e0e\u591a\u667a\u80fd\u4f53\u4f18\u5316\u65b9\u6cd5
\n\u539f\u9898\u518d\u73b0：\u300a\u65b0\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u89c4\u5212\u300b\u660e\u786e\u63d0\u51fa\u63a8\u52a8\u667a\u80fd\u6559\u80b2\u521b\u65b0\u53d1\u5c55，\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6280\u672f\u6539\u8fdb\u6559\u80b2\u8bc4\u4ef7\u4f53\u7cfb\u3002\u5728\u9ad8\u7b49\u6559\u80b2\u9886\u57df，\u6570\u5b66\u5efa\u6a21\u7ade\u8d5b\u4f5c\u4e3a\u57f9\u517b\u5b66\u751f\u521b\u65b0\u80fd\u529b\u548c\u5b9e\u8df5\u80fd\u529b\u7684\u91cd\u8981\u8f7d\u4f53，\u6bcf\u5e74\u5438\u5f15\u6570\u5341\u4e07\u5b66\u751f\u53c2\u4e0e\u3002\u968f\u7740\u5927\u8bed\u8a00\u6a21\u578b\u3001\u667a\u80fd\u5199\u4f5c\u5de5\u5177\u7b49\u6280\u672f\u7684\u5feb\u901f\u53d1\u5c55，\u53c2\u8d5b\u8005\u5e7f\u6cdb\u501f\u52a9AI\u8f85\u52a9\u5b8c\u6210\u8bba\u6587\u64b0\u5199，\u8fd9\u5bf9\u4f20\u7edf\u7684\u4eba\u5de5\u8bc4\u5ba1\u6a21\u5f0f\u63d0\u51fa\u4e86\u65b0\u7684\u6311\u6218\u3002\u6570\u5b66\u5efa<\/p>\n","protected":false},"author":2,"featured_media":94764,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10849,1482,427],"topic":[],"class_list":["post-94765","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-10849","tag-1482","tag-427"],"yoast_head":"\n2026\u5e74\u4e2d\u9752\u676f\u6570\u5b66\u5efa\u6a21A\u9898\u6570\u5b66\u5efa\u6a21\u8bba\u6587\u667a\u80fd\u8bc4\u4f30\u7cfb\u7edf\u4e0e\u591a\u667a\u80fd\u4f53\u4f18\u5316\u65b9\u6cd5\u6c42\u89e3\u5168\u8fc7\u7a0b\u8bba\u6587\u53ca\u7a0b\u5e8f - 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