i0SrSSKJr SSKrSSKrSSKrSSKJrJ r J r SSK r \ R"\ 5rSrSrS\S\4SjrS \\4S \R(S \S \S \S\4 SjjrS:S\\S\\S \ \S\S\S\S\ \\S \4SjjrS;S\ \\\4S\ \\\4S \ \S\ \ \\\4S \4 SjjrS.tif.tiff)osrsplitextlower)rexts M/home/ubuntu/codebase/yexijia/保研/colocation_mvp/src/experiment/plotter.py _is_tiff_pathrs0 ''  4  # ) ) +C # ##@fig output_pathdpi max_bytesmin_dpi_exclusivec U(d [S5e[U5nX$::aUS-n[U5(d)URXSS9 [R SU35 g[ R"[ RRU5=(d SSS 9 S S 0nUR5upg[S 5GHnS n US:aSU-n URXi-Xy-SS9 Un US:a![US-[USUS- --55n [R"SSS9n U R n SSS5 URW U SUS9 [ RR#U 5n X::a@X:a;[ R$"X5 [R SUSU SU SU SS3 5 g[ R&"U 5 GM [US-[-US55nURUUSUS9 [ RR+U5(a[ RR#U5OSn [R/SUSU SU35 g!,(df  GN0=f![(aM [ RR+W 5(a[ R&"U 5 e![(a ef=ff=f) zSave figure with TIFF + dpi + filesize constraints. Requirements (per user request): - If TIFF: output as TIFF, dpi > 300, file size <= 2MB. - For non-TIFF: still respect dpi argument but no size enforcement. zoutput_path is requiredr tight)r bbox_incheszPlot saved to N.T)exist_ok compressiontiff_lzw g?gq= ףp?)forwardgffffff?r F)suffixdelete)rr pil_kwargsz (format=TIFF, dpi=z, size=z bytes, scale=.3f)rz.Saved TIFF but could not guarantee <=2MB (dpi=z bytes): ) ValueErrorintrsavefigloggerinfor makedirsrdirnameget_size_inchesrangeset_size_inchesmaxtempfileNamedTemporaryFilenamegetsizereplaceremove Exceptionexistsminwarning)rrrrrr&orig_worig_hattemptscalecur_dpitmptmp_pathsize fallback_dpis r_save_figure_with_constraintsrHs 233 c(C !#  % % Kg > n[M23 KK ,3dC ,J((*NF9 a<GOE     M a<+a/SDWq[>++F+F277??; 'BD NN 8gdVS\]h\ijOG F(  77>>(++IIh'      sC! I7A4I)-I) I& ) K4:J/.K/ J<9K;J<<Kbaselineourstitlexlabelylabelpreference_weightedc [[S[U5S-55n[R"SS9n [R "XSSSSS9 [R "XS S SSS9 Ub0[U5[U5:Xa[R "XS S SSS9 [R "USS9 [R"USS9 [R"USSS9 [R"SS9 [R"SSS9 [R"SS/5 [R"S[U5/5 [R"5 U(a [XUS9 O[R"5 [R "5 g )aPlot learning curve comparing baseline, contrastive, and optionally preference-weighted methods. Args: baseline: List of accuracy scores for baseline method ours: List of accuracy scores for contrastive method output_path: Path to save plot (optional) title: Plot title xlabel: X-axis label ylabel: Y-axis label preference_weighted: Optional list of accuracy scores for preference-weighted method (2025-style) r )r figsizeb-oBaselinerPlabel linewidth markersizer-s ContrastiveNg-^Preference-Weighted (2025) fontsizeboldr` fontweight T333333?alpharr)listr2lenpltfigureplotrLrMrKlegendgridylimxlim tight_layoutrHshowclose) rIrJrrKrLrMrNrroundsrs rplot_learning_curverwvs*%3x=1,- .F **W %CHHVuJ!PQRHHV5 qQ&3/B+Cs8}+T e;WcdqrsJJv#JJv#IIebV4JJHHTHHaVHHaX  %cC@  IIKrbaseline_metricscontrastive_metricspreference_weighted_metricsc [[S[US5S-55n[R"SSSS9upgUR SSSS 9 SS US 4S S US4SSUS4SSUS4/nUGHJupn X n Xn U R X\SSSSS9 U R X]SSSSS9 Ub4X;a/X9n[U5[U 5:XaU R X^SSSSS9 U RSSS 9 U RU SS 9 U RU S!SS 9 U RS"S 9 U RS#S$S%9 U RS&S/5 U RS[U 5/5 [U 5S&:dMU RU S'S([U 5U S'4S)S*S+S,S-9 U RU S'S([U 5U S'4S)S.S+S,S-9 GMM [R"5 U(a [!XbUS/9 O[R""5 [R$"5 g)0alPlot all metrics (accuracy, precision, recall, F1) in subplots. Args: baseline_metrics: Dictionary with 'accuracy', 'precision', 'recall', 'f1' lists contrastive_metrics: Dictionary with 'accuracy', 'precision', 'recall', 'f1' lists output_path: Path to save plot (optional) preference_weighted_metrics: Optional third method metrics (2025-style) r accuracyrU)rar rQzEvaluation Metrics ComparisonrbrcAccuracy)rr precision Precision)rr recallRecall)r rf1zF1 Score)r r rSrTr"rVrZr[Nr\r]Interaction Roundr r_r^ Trfrgrr)r'z offset points)r"rleft) textcoordsxytexthar`)r"iri)rjr2rkrlsubplotssuptitlern set_xlabel set_ylabel set_titlerorpset_ylimset_xlimannotatersrHrtru)rxryrrzrrvraxesmetrics metric_key metric_nameaxrI contrastivepws rplot_all_metrics_funcrs7%3/ ;2E, D;> E  E__main__zPlot learning curves) descriptionz --baselinezresults/metrics_baseline.jsonzPath to baseline metrics JSON)typedefaulthelpz --contrastivez results/metrics_contrastive.jsonz Path to contrastive metrics JSONz--preference-weightedz@Path to preference-weighted metrics JSON (optional third method)z--outputzresults/learning_curve.tiffzOutput path for plotz--dpiz0Output DPI (must be >300 for TIFF, default: 320)z--accuracy-only store_truezHOnly plot accuracy (single figure); default when not using --all-metrics)actionrz --all-metricszBPlot all metrics (accuracy, precision, recall, F1) in 2x2 subplotsz4%(asctime)s - %(name)s - %(levelname)s - %(message)s)levelformat)rrr)NzLearning Curve Comparisonrr~Nr)NNr)NFNr)+__doc__matplotlib.pyplotpyplotrlrr r5typingrrrlogging getLogger__name__r-_MAX_TIFF_BYTES_MIN_DPI_EXCLUSIVEstrboolrFigurer+rHfloatrwrrargparseArgumentParserparser add_argument parse_argsargs basicConfigINFO all_metrics accuracy_onlyplot_allrIroutputrNrrrrs70 ''   8 $!$$$$/ ^ ^^ ^ ^  ^H"&,%1545k4 u+4#4  4  4  4"$u+.4 4t"&DH <3U +,<c4;./<#<"*$sDK/?*@!A < <D"&".2 6 6 6 #6  6 'sm 6 6 r z  $ $1G HF  38W;= c;]>@ /c4^`  6S24 c3NP ),fh  `b    D llE :(:(:$:H   !!%!9!9 HH 9r