diff --git a/.matplotlib-cache/fontlist-v390.json b/.matplotlib-cache/fontlist-v390.json
new file mode 100644
index 0000000..8e4aebc
--- /dev/null
+++ b/.matplotlib-cache/fontlist-v390.json
@@ -0,0 +1,4384 @@
+{
+ "_version": 390,
+ "_FontManager__default_weight": "normal",
+ "default_size": null,
+ "defaultFamily": {
+ "ttf": "DejaVu Sans",
+ "afm": "Helvetica"
+ },
+ "afmlist": [
+ {
+ "fname": "fonts\\afm\\pagdo8a.afm",
+ "name": "ITC Avant Garde Gothic",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "demi",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pcrro8a.afm",
+ "name": "Courier",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvr8an.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\putri8a.afm",
+ "name": "Utopia",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "regular",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Courier.afm",
+ "name": "Courier",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\ptmb8a.afm",
+ "name": "Times",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\cmex10.afm",
+ "name": "Computer Modern",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\cmmi10.afm",
+ "name": "Computer Modern",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Courier-Bold.afm",
+ "name": "Courier",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\cmtt10.afm",
+ "name": "Computer Modern",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Helvetica-Oblique.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pplbi8a.afm",
+ "name": "Palatino",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pagko8a.afm",
+ "name": "ITC Avant Garde Gothic",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "book",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pplr8a.afm",
+ "name": "Palatino",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "roman",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pplri8a.afm",
+ "name": "Palatino",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\psyr.afm",
+ "name": "Symbol",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\ptmr8a.afm",
+ "name": "Times",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "roman",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pagk8a.afm",
+ "name": "ITC Avant Garde Gothic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "book",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pzcmi8a.afm",
+ "name": "ITC Zapf Chancery",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pncbi8a.afm",
+ "name": "New Century Schoolbook",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Times-BoldItalic.afm",
+ "name": "Times",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pncri8a.afm",
+ "name": "New Century Schoolbook",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvr8a.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\putb8a.afm",
+ "name": "Utopia",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\cmr10.afm",
+ "name": "Computer Modern",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pbkl8a.afm",
+ "name": "ITC Bookman",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "light",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Helvetica-Bold.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\ptmri8a.afm",
+ "name": "Times",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvro8an.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\putbi8a.afm",
+ "name": "Utopia",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvbo8an.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Courier-BoldOblique.afm",
+ "name": "Courier",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Courier-Oblique.afm",
+ "name": "Courier",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvb8an.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvlo8a.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "light",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\putr8a.afm",
+ "name": "Utopia",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "regular",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pcrr8a.afm",
+ "name": "Courier",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pncb8a.afm",
+ "name": "New Century Schoolbook",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Symbol.afm",
+ "name": "Symbol",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Times-Italic.afm",
+ "name": "Times",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pcrb8a.afm",
+ "name": "Courier",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvbo8a.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvb8a.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pbkli8a.afm",
+ "name": "ITC Bookman",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "light",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Helvetica-BoldOblique.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pcrbo8a.afm",
+ "name": "Courier",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Times-Bold.afm",
+ "name": "Times",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pplb8a.afm",
+ "name": "Palatino",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Helvetica.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\cmsy10.afm",
+ "name": "Computer Modern",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pzdr.afm",
+ "name": "ITC Zapf Dingbats",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\ZapfDingbats.afm",
+ "name": "ZapfDingbats",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\ptmbi8a.afm",
+ "name": "Times",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "bold",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pbkdi8a.afm",
+ "name": "ITC Bookman",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "demi",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\pdfcorefonts\\Times-Roman.afm",
+ "name": "Times",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "roman",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvl8a.afm",
+ "name": "Helvetica",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "light",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\phvro8a.afm",
+ "name": "Helvetica",
+ "style": "italic",
+ "variant": "normal",
+ "weight": "medium",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pagd8a.afm",
+ "name": "ITC Avant Garde Gothic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "demi",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pncr8a.afm",
+ "name": "New Century Schoolbook",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "roman",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\afm\\pbkd8a.afm",
+ "name": "ITC Bookman",
+ "style": "normal",
+ "variant": "normal",
+ "weight": "demi",
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ }
+ ],
+ "ttflist": [
+ {
+ "fname": "fonts\\ttf\\cmmi10.ttf",
+ "name": "cmmi10",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizThreeSymBol.ttf",
+ "name": "STIXSizeThreeSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\cmsy10.ttf",
+ "name": "cmsy10",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\DejaVuSansDisplay.ttf",
+ "name": "DejaVu Sans Display",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizFourSymReg.ttf",
+ "name": "STIXSizeFourSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\DejaVuSerif-BoldItalic.ttf",
+ "name": "DejaVu Serif",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\DejaVuSerif-Bold.ttf",
+ "name": "DejaVu Serif",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXGeneralItalic.ttf",
+ "name": "STIXGeneral",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizFourSymBol.ttf",
+ "name": "STIXSizeFourSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXNonUni.ttf",
+ "name": "STIXNonUnicode",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizTwoSymReg.ttf",
+ "name": "STIXSizeTwoSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\DejaVuSans-Oblique.ttf",
+ "name": "DejaVu Sans",
+ "style": "oblique",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXNonUniBolIta.ttf",
+ "name": "STIXNonUnicode",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXNonUniIta.ttf",
+ "name": "STIXNonUnicode",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\cmb10.ttf",
+ "name": "cmb10",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\cmss10.ttf",
+ "name": "cmss10",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf",
+ "name": "DejaVu Sans Mono",
+ "style": "oblique",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizThreeSymReg.ttf",
+ "name": "STIXSizeThreeSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "fonts\\ttf\\STIXSizOneSymReg.ttf",
+ "name": "STIXSizeOneSym",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
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+ "variant": "normal",
+ "weight": 900,
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+ "size": "scalable",
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+ },
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+ "fname": "C:\\Windows\\Fonts\\seguisb.ttf",
+ "name": "Segoe UI",
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+ "variant": "normal",
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Users\\User\\AppData\\Local\\Microsoft\\Windows\\Fonts\\TAU-Malar.ttf",
+ "name": "TAU - Malar",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "name": "Gill Sans MT",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ {
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+ "name": "Microsoft JhengHei",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 290,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BASKVILL.TTF",
+ "name": "Baskerville Old Face",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\palabi.ttf",
+ "name": "Palatino Linotype",
+ "style": "italic",
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+ "weight": 700,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Times New Roman",
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+ "stretch": "normal",
+ "size": "scalable",
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+ },
+ {
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+ "name": "Garamond",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Arial",
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+ "variant": "normal",
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\BROADW.TTF",
+ "name": "Broadway",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\SCHLBKI.TTF",
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+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\FRAHVIT.TTF",
+ "name": "Franklin Gothic Heavy",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
+ {
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+ "name": "Consolas",
+ "style": "italic",
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+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "name": "Ebrima",
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+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
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+ },
+ {
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+ "name": "Arial",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "name": "Candara",
+ "style": "italic",
+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "name": "Arial",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ {
+ "fname": "C:\\Windows\\Fonts\\BELLB.TTF",
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+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\POORICH.TTF",
+ "name": "Poor Richard",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\FELIXTI.TTF",
+ "name": "Felix Titling",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
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+ "name": "Trebuchet MS",
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+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\GOUDOSB.TTF",
+ "name": "Goudy Old Style",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\WINGDNG3.TTF",
+ "name": "Wingdings 3",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\seguiemj.ttf",
+ "name": "Segoe UI Emoji",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\msjhbd.ttc",
+ "name": "Microsoft JhengHei",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ebrima.ttf",
+ "name": "Ebrima",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\CHILLER.TTF",
+ "name": "Chiller",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BOOKOSI.TTF",
+ "name": "Bookman Old Style",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 300,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\PERI____.TTF",
+ "name": "Perpetua",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\segoeuil.ttf",
+ "name": "Segoe UI",
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+ "variant": "normal",
+ "weight": 300,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\CASTELAR.TTF",
+ "name": "Castellar",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\Candaral.ttf",
+ "name": "Candara",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\sylfaen.ttf",
+ "name": "Sylfaen",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Program Files\\Common Files\\microsoft shared\\EQUATION\\MTEXTRA.TTF",
+ "name": "MT Extra",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\segoeprb.ttf",
+ "name": "Segoe Print",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\GILLUBCD.TTF",
+ "name": "Gill Sans Ultra Bold Condensed",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
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+ "name": "Corbel",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 300,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ARIALUNI.TTF",
+ "name": "Arial Unicode MS",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\PARCHM.TTF",
+ "name": "Parchment",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LCALLIG.TTF",
+ "name": "Lucida Calligraphy",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\webdings.ttf",
+ "name": "Webdings",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\segoeui.ttf",
+ "name": "Segoe UI",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\phagspa.ttf",
+ "name": "Microsoft PhagsPa",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "name": "Times New Roman",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\HATTEN.TTF",
+ "name": "Haettenschweiler",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\BOOKOSBI.TTF",
+ "name": "Bookman Old Style",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\SegUIVar.ttf",
+ "name": "Segoe UI Variable",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\constanz.ttf",
+ "name": "Constantia",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\seguisbi.ttf",
+ "name": "Segoe UI",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\corbelb.ttf",
+ "name": "Corbel",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BOD_CB.TTF",
+ "name": "Bodoni MT",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BSSYM7.TTF",
+ "name": "Bookshelf Symbol 7",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\FRADMIT.TTF",
+ "name": "Franklin Gothic Demi",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\PERBI___.TTF",
+ "name": "Perpetua",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BOD_BI.TTF",
+ "name": "Bodoni MT",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ALGER.TTF",
+ "name": "Algerian",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\lucon.ttf",
+ "name": "Lucida Console",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LHANDW.TTF",
+ "name": "Lucida Handwriting",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\consolai.ttf",
+ "name": "Consolas",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BOD_I.TTF",
+ "name": "Bodoni MT",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\VIVALDII.TTF",
+ "name": "Vivaldi",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\TCCB____.TTF",
+ "name": "Tw Cen MT Condensed",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\segoeuisl.ttf",
+ "name": "Segoe UI",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 350,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LSANSDI.TTF",
+ "name": "Lucida Sans",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\GLECB.TTF",
+ "name": "Gloucester MT Extra Condensed",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\CALIFI.TTF",
+ "name": "Californian FB",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\SNAP____.TTF",
+ "name": "Snap ITC",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LFAX.TTF",
+ "name": "Lucida Fax",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\SCHLBKBI.TTF",
+ "name": "Century Schoolbook",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\micross.ttf",
+ "name": "Microsoft Sans Serif",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\YuGothB.ttc",
+ "name": "Yu Gothic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\GLSNECB.TTF",
+ "name": "Gill Sans MT Ext Condensed Bold",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\FORTE.TTF",
+ "name": "Forte",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ARIALNB.TTF",
+ "name": "Arial",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\verdanai.ttf",
+ "name": "Verdana",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\verdana.ttf",
+ "name": "Verdana",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\symbol.ttf",
+ "name": "Symbol",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\palai.ttf",
+ "name": "Palatino Linotype",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\trebucbi.ttf",
+ "name": "Trebuchet MS",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\Gabriola.ttf",
+ "name": "Gabriola",
+ "style": "normal",
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+ "size": "scalable",
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+ "variant": "normal",
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+ "size": "scalable",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\SitkaVF-Italic.ttf",
+ "name": "Sitka",
+ "style": "italic",
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+ "weight": 400,
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+ "size": "scalable",
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+ "name": "Bodoni MT",
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+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\GOTHICBI.TTF",
+ "name": "Century Gothic",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "name": "Franklin Gothic Book",
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+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ {
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+ "variant": "normal",
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+ },
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+ "name": "Nirmala UI",
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+ "weight": 400,
+ "stretch": "normal",
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+ },
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+ "name": "Microsoft PhagsPa",
+ "style": "normal",
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+ "size": "scalable",
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+ "name": "SimSun",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\TCM_____.TTF",
+ "name": "Tw Cen MT",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Corbel",
+ "style": "italic",
+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\SCHLBKB.TTF",
+ "name": "Century Schoolbook",
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+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Franklin Gothic Medium",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\ONYX.TTF",
+ "name": "Onyx",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\mmrtext.ttf",
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+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
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+ {
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+ "name": "SimSun-ExtB",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ {
+ "fname": "C:\\Windows\\Fonts\\STENCIL.TTF",
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+ "style": "normal",
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+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ {
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+ "name": "Blackadder ITC",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ "fname": "C:\\Windows\\Fonts\\mingliub.ttc",
+ "name": "MingLiU-ExtB",
+ "style": "normal",
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+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\georgia.ttf",
+ "name": "Georgia",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\cambriai.ttf",
+ "name": "Cambria",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "name": "Constantia",
+ "style": "normal",
+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\BRLNSB.TTF",
+ "name": "Berlin Sans FB",
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+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\SegoeIcons.ttf",
+ "name": "Segoe Fluent Icons",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
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+ "fname": "C:\\Windows\\Fonts\\LBRITE.TTF",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
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+ "name": "Showcard Gothic",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
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+ {
+ "fname": "C:\\Windows\\Fonts\\ITCKRIST.TTF",
+ "name": "Kristen ITC",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\pala.ttf",
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+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\LBRITEDI.TTF",
+ "name": "Lucida Bright",
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+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Calisto MT",
+ "style": "italic",
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+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
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+ "name": "Franklin Gothic Demi",
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+ "weight": 400,
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+ "size": "scalable",
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+ {
+ "fname": "C:\\Windows\\Fonts\\PLAYBILL.TTF",
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+ "style": "normal",
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+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "weight": 400,
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+ "size": "scalable",
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+ {
+ "fname": "C:\\Windows\\Fonts\\msyi.ttf",
+ "name": "Microsoft Yi Baiti",
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+ "variant": "normal",
+ "weight": 400,
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Users\\User\\AppData\\Local\\Microsoft\\Windows\\Fonts\\Latha-Bold.ttf",
+ "name": "Latha",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\cambriab.ttf",
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+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
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+ "name": "Arial",
+ "style": "italic",
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+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ {
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\BAUHS93.TTF",
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+ "variant": "normal",
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+ "size": "scalable",
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+ "weight": 400,
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+ "size": "scalable",
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+ "weight": 700,
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+ "size": "scalable",
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+ "variant": "normal",
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+ "variant": "normal",
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+ "name": "Imprint MT Shadow",
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+ "style": "normal",
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+ "name": "Comic Sans MS",
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+ "weight": 700,
+ "stretch": "normal",
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+ "style": "italic",
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+ "weight": 400,
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+ "variant": "normal",
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+ "size": "scalable",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Lucida Sans",
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+ "__class__": "FontEntry"
+ },
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+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
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+ },
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+ "name": "Bernard MT Condensed",
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+ "stretch": "condensed",
+ "size": "scalable",
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+ {
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+ "name": "Rockwell",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ },
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+ "name": "Tempus Sans ITC",
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+ "weight": 400,
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+ "name": "Engravers MT",
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+ "stretch": "normal",
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+ },
+ {
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+ "name": "Leelawadee UI",
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+ "variant": "normal",
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+ "__class__": "FontEntry"
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+ "fname": "C:\\Users\\User\\AppData\\Local\\Microsoft\\Windows\\Fonts\\TAU-Neythal.ttf",
+ "name": "TAU - Neythal",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ {
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+ "name": "Comic Sans MS",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "variant": "normal",
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+ "variant": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "fname": "C:\\Windows\\Fonts\\MAGNETOB.TTF",
+ "name": "Magneto",
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+ "variant": "normal",
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "weight": 5,
+ "stretch": "normal",
+ "size": "scalable",
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+ "name": "Bookman Old Style",
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+ "weight": 300,
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+ "stretch": "normal",
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+ "size": "scalable",
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+ {
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+ "weight": 700,
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+ "size": "scalable",
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+ "stretch": "normal",
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+ "name": "Microsoft New Tai Lue",
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+ "weight": 700,
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "weight": 400,
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+ "size": "scalable",
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+ "name": "Bahnschrift",
+ "style": "normal",
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+ "stretch": "normal",
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+ {
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+ "name": "Perpetua Titling MT",
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+ "variant": "normal",
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+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\verdanaz.ttf",
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+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\segoepr.ttf",
+ "name": "Segoe Print",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "name": "Gill Sans MT Condensed",
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+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\GILB____.TTF",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "name": "Franklin Gothic Medium Cond",
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+ "stretch": "condensed",
+ "size": "scalable",
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+ "name": "Consolas",
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+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "name": "Segoe UI",
+ "style": "italic",
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+ "weight": 700,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ {
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+ "name": "Microsoft Tai Le",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
+ },
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+ "weight": 400,
+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ {
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+ "name": "Franklin Gothic Heavy",
+ "style": "normal",
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+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
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+ "weight": 400,
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+ "fname": "C:\\Windows\\Fonts\\HARLOWSI.TTF",
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+ "weight": 400,
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+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\PRISTINA.TTF",
+ "name": "Pristina",
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+ "variant": "normal",
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+ "fname": "C:\\Windows\\Fonts\\BRLNSDB.TTF",
+ "name": "Berlin Sans FB Demi",
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+ "weight": 700,
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+ "fname": "C:\\Windows\\Fonts\\calibriz.ttf",
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+ "variant": "normal",
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+ "fname": "C:\\Windows\\Fonts\\TCCM____.TTF",
+ "name": "Tw Cen MT Condensed",
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+ "weight": 400,
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+ "stretch": "normal",
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+ "size": "scalable",
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+ "variant": "normal",
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+ "stretch": "normal",
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+ "variant": "normal",
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+ "__class__": "FontEntry"
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+ "stretch": "normal",
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+ "__class__": "FontEntry"
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+ "name": "MS Gothic",
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+ "variant": "normal",
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+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
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+ "variant": "normal",
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+ "name": "Goudy Stout",
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+ "size": "scalable",
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+ "weight": 700,
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+ "size": "scalable",
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+ "weight": 400,
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+ "size": "scalable",
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+ "size": "scalable",
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+ "fname": "C:\\Windows\\Fonts\\RAGE.TTF",
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+ "weight": 400,
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+ "size": "scalable",
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+ "__class__": "FontEntry"
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+ "fname": "C:\\Windows\\Fonts\\ERASDEMI.TTF",
+ "name": "Eras Demi ITC",
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+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\courbd.ttf",
+ "name": "Courier New",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\HARNGTON.TTF",
+ "name": "Harrington",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\TCBI____.TTF",
+ "name": "Tw Cen MT",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LFAXD.TTF",
+ "name": "Lucida Fax",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\VLADIMIR.TTF",
+ "name": "Vladimir Script",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\Candarai.ttf",
+ "name": "Candara",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BKANT.TTF",
+ "name": "Book Antiqua",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LBRITED.TTF",
+ "name": "Lucida Bright",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 600,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\FRABK.TTF",
+ "name": "Franklin Gothic Book",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\seguisli.ttf",
+ "name": "Segoe UI",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 350,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\framdit.ttf",
+ "name": "Franklin Gothic Medium",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\tahoma.ttf",
+ "name": "Tahoma",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\GOTHICI.TTF",
+ "name": "Century Gothic",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\calibrib.ttf",
+ "name": "Calibri",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\seguihis.ttf",
+ "name": "Segoe UI Historic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\corbelz.ttf",
+ "name": "Corbel",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\taileb.ttf",
+ "name": "Microsoft Tai Le",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\CALIFB.TTF",
+ "name": "Californian FB",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\segoescb.ttf",
+ "name": "Segoe Script",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\RAVIE.TTF",
+ "name": "Ravie",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\malgunbd.ttf",
+ "name": "Malgun Gothic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 700,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\malgunsl.ttf",
+ "name": "Malgun Gothic",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 300,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\AGENCYR.TTF",
+ "name": "Agency FB",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\JOKERMAN.TTF",
+ "name": "Jokerman",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ITCEDSCR.TTF",
+ "name": "Edwardian Script ITC",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\msjh.ttc",
+ "name": "Microsoft JhengHei",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\NIAGENG.TTF",
+ "name": "Niagara Engraved",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\constani.ttf",
+ "name": "Constantia",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\SitkaVF.ttf",
+ "name": "Sitka",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\LeelawUI.ttf",
+ "name": "Leelawadee UI",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\CENTAUR.TTF",
+ "name": "Centaur",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\wingding.ttf",
+ "name": "Wingdings",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\COOPBL.TTF",
+ "name": "Cooper Black",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BELLI.TTF",
+ "name": "Bell MT",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\ANTQUAI.TTF",
+ "name": "Book Antiqua",
+ "style": "italic",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\BRADHITC.TTF",
+ "name": "Bradley Hand ITC",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "normal",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ },
+ {
+ "fname": "C:\\Windows\\Fonts\\TCCEB.TTF",
+ "name": "Tw Cen MT Condensed Extra Bold",
+ "style": "normal",
+ "variant": "normal",
+ "weight": 400,
+ "stretch": "condensed",
+ "size": "scalable",
+ "__class__": "FontEntry"
+ }
+ ],
+ "__class__": "FontManager"
+}
\ No newline at end of file
diff --git a/.matplotlib-cache/fontlist-v390.json.matplotlib-lock b/.matplotlib-cache/fontlist-v390.json.matplotlib-lock
new file mode 100644
index 0000000..e69de29
diff --git a/__pycache__/utilities.cpython-313.pyc b/__pycache__/utilities.cpython-313.pyc
index b24bf26..fa90bb2 100644
Binary files a/__pycache__/utilities.cpython-313.pyc and b/__pycache__/utilities.cpython-313.pyc differ
diff --git a/app.py b/app.py
index 7acf2c7..4d69a8e 100644
--- a/app.py
+++ b/app.py
@@ -14,11 +14,18 @@
from dotenv import load_dotenv
import os
+import sys
load_dotenv()
-REQUIRED_ENV_VARS = [
- 'FLASK_SECRET_KEY',
+if hasattr(sys.stdout, 'reconfigure'):
+ sys.stdout.reconfigure(encoding='utf-8', errors='replace')
+
+os.environ.setdefault('MPLCONFIGDIR', os.path.join(os.getcwd(), '.matplotlib-cache'))
+os.makedirs(os.environ['MPLCONFIGDIR'], exist_ok=True)
+
+REQUIRED_ENV_VARS = ['FLASK_SECRET_KEY']
+CLOUDINARY_ENV_VARS = [
'CLOUDINARY_CLOUD_NAME',
'CLOUDINARY_API_KEY',
'CLOUDINARY_API_SECRET',
@@ -26,20 +33,32 @@
def validate_required_env():
- """Fail fast if required environment variables are missing."""
+ """Warn about missing local configuration without blocking app startup."""
missing = [var for var in REQUIRED_ENV_VARS if not os.getenv(var)]
if missing:
- raise EnvironmentError(
- 'Missing required environment variables: '
+ print(
+ 'Warning: missing required environment variables: '
+ ', '.join(missing)
- + '. Copy .env.example to .env and set your values.'
+ + '. Using development fallbacks where possible.'
+ )
+
+ missing_cloudinary = [var for var in CLOUDINARY_ENV_VARS if not os.getenv(var)]
+ if missing_cloudinary:
+ print(
+ 'Warning: Cloudinary is not fully configured. Scan history image uploads '
+ 'will fall back to inline/base64 images.'
)
validate_required_env()
from flask import Flask, render_template, request, jsonify, send_from_directory, session, redirect, url_for
-from flask_cors import CORS
+try:
+ from flask_cors import CORS
+except ImportError:
+ def CORS(app, **kwargs):
+ print("Warning: flask-cors is not installed. CORS support is disabled.")
+ return app
import tensorflow as tf
import numpy as np
import cv2
@@ -52,25 +71,36 @@ def validate_required_env():
from datetime import datetime
from functools import wraps
from werkzeug.utils import secure_filename
-from pymongo import MongoClient
-from bson import ObjectId
-import cloudinary
-import cloudinary.uploader
-import cloudinary.api
+try:
+ from pymongo import MongoClient
+except ImportError:
+ MongoClient = None
+ print("Warning: pymongo is not installed. MongoDB storage is disabled.")
+try:
+ from bson import ObjectId
+except ImportError:
+ ObjectId = None
+try:
+ import cloudinary
+ import cloudinary.uploader
+ import cloudinary.api
+except ImportError:
+ cloudinary = None
+ print("Warning: cloudinary is not installed. Cloud image uploads are disabled.")
from utilities import (
focal_tversky, tversky_loss, tversky,
dice_coefficient, dice_loss, bce_dice_loss,
iou_score, sensitivity, specificity, precision_metric,
- predict_with_tta_classification, predict_with_tta_segmentation
+ predict_with_tta_classification, predict_with_tta_segmentation,
+ build_mc_dropout_model, model_supports_mc_dropout
)
# Initialize Flask app
app = Flask(__name__)
-# Restrict CORS to explicit origins — set CORS_ORIGINS in .env (comma-separated)
+# Restrict CORS to explicit origins. Set CORS_ORIGINS in .env as comma-separated origins.
_cors_origins = os.getenv('CORS_ORIGINS', 'http://localhost:5000').split(',')
-CORS(app, supports_credentials=True, origins=[o.strip() for o in _cors_origins])
-app.secret_key = os.getenv('FLASK_SECRET_KEY')
-
+CORS(app, supports_credentials=True, origins=[origin.strip() for origin in _cors_origins])
+app.secret_key = os.getenv('FLASK_SECRET_KEY', 'dev-only-secret-key')
# Configuration
app.config['UPLOAD_FOLDER'] = 'uploads'
app.config['SCAN_HISTORY_FOLDER'] = 'scan_history'
@@ -79,6 +109,11 @@ def validate_required_env():
app.config['USE_TTA'] = True # Enable Test Time Augmentation for higher accuracy
app.config['USE_ENSEMBLE'] = True # Enable ensemble predictions
app.config['CONFIDENCE_THRESHOLD'] = 0.5 # Minimum confidence for tumor detection
+app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'] = True
+app.config['UNCERTAINTY_PASSES'] = 8
+app.config['NO_TUMOR_REVIEW_CONFIDENCE'] = 0.75
+app.config['UNCERTAINTY_VARIANCE_THRESHOLD'] = 0.015
+app.config['ENABLE_DEMO_INFERENCE'] = os.getenv('ENABLE_DEMO_INFERENCE', 'true').lower() == 'true'
# MongoDB Configuration (optional — falls back to local JSON storage)
MONGO_URI = os.getenv('MONGO_URI')
@@ -88,12 +123,14 @@ def validate_required_env():
mongodb_available = False
# Cloudinary Configuration
-cloudinary.config(
- cloud_name=os.getenv('CLOUDINARY_CLOUD_NAME'),
- api_key=os.getenv('CLOUDINARY_API_KEY'),
- api_secret=os.getenv('CLOUDINARY_API_SECRET'),
- secure=True,
-)
+cloudinary_configured = bool(cloudinary and all(os.getenv(var) for var in CLOUDINARY_ENV_VARS))
+if cloudinary_configured:
+ cloudinary.config(
+ cloud_name=os.getenv('CLOUDINARY_CLOUD_NAME'),
+ api_key=os.getenv('CLOUDINARY_API_KEY'),
+ api_secret=os.getenv('CLOUDINARY_API_SECRET'),
+ secure=True,
+ )
# Create required directories
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
@@ -102,6 +139,9 @@ def validate_required_env():
# ==================== Cloudinary Helper Functions ====================
def upload_image_to_cloudinary(image_data, folder="neuroscan", public_id=None):
"""Upload base64 image to Cloudinary and return the URL"""
+ if not cloudinary_configured:
+ return None
+
try:
# Handle data URL format
if ',' in image_data:
@@ -123,6 +163,9 @@ def upload_image_to_cloudinary(image_data, folder="neuroscan", public_id=None):
def delete_image_from_cloudinary(public_id):
"""Delete image from Cloudinary"""
+ if not cloudinary_configured:
+ return False
+
try:
cloudinary.uploader.destroy(public_id)
return True
@@ -174,6 +217,11 @@ def init_mongodb():
print("⚠ MONGO_URI not set — using JSON file storage fallback")
return False
+ if MongoClient is None:
+ mongodb_available = False
+ print("MongoDB fallback: pymongo is not installed")
+ return False
+
try:
# Try to connect to MongoDB with a short timeout
mongo_client = MongoClient(MONGO_URI, serverSelectionTimeoutMS=5000)
@@ -228,6 +276,7 @@ def decorated_function(*args, **kwargs):
segmentation_model = None # Primary segmentation model
secondary_classifier = None # Secondary classifier (classifier-resnet-weights.keras)
secondary_segmentation = None # Secondary segmentation model
+classification_mc_models = {} # Stochastic clones for uncertainty estimation
models_loaded = False
@@ -257,9 +306,12 @@ def get_custom_objects():
def load_models():
"""Load all pre-trained classification and segmentation models for ensemble"""
global classification_model, segmentation_model, secondary_classifier, secondary_segmentation
- global classification_models, segmentation_models, models_loaded
+ global classification_models, segmentation_models, classification_mc_models, models_loaded
custom_objects = get_custom_objects()
+ classification_models = []
+ segmentation_models = []
+ classification_mc_models = {}
try:
# ============================================================
@@ -284,6 +336,8 @@ def load_models():
]
)
classification_models.append(('ResNet-50', classification_model))
+ if model_supports_mc_dropout(classification_model):
+ classification_mc_models['ResNet-50'] = build_mc_dropout_model(classification_model)
print("✓ Primary classification model loaded successfully")
# ============================================================
@@ -298,6 +352,8 @@ def load_models():
custom_objects=custom_objects
)
classification_models.append(('Classifier-ResNet', secondary_classifier))
+ if model_supports_mc_dropout(secondary_classifier):
+ classification_mc_models['Classifier-ResNet'] = build_mc_dropout_model(secondary_classifier)
print("✓ Secondary classification model loaded successfully")
except Exception as e:
print(f"⚠ Could not load secondary classifier: {str(e)}")
@@ -316,6 +372,8 @@ def load_models():
metrics=["accuracy"]
)
classification_models.append(('Classifier-ResNet', secondary_classifier))
+ if model_supports_mc_dropout(secondary_classifier):
+ classification_mc_models['Classifier-ResNet'] = build_mc_dropout_model(secondary_classifier)
print("✓ Secondary classification model loaded with JSON architecture")
except Exception as e2:
print(f"⚠ Secondary classifier not available: {str(e2)}")
@@ -375,6 +433,7 @@ def load_models():
print(f" - Segmentation models loaded: {len(segmentation_models)}")
print(f" - TTA enabled: {app.config['USE_TTA']}")
print(f" - Ensemble enabled: {app.config['USE_ENSEMBLE']}")
+ print(f" - MC dropout models: {len(classification_mc_models)}")
return True
except Exception as e:
@@ -444,6 +503,122 @@ def preprocess_image_segmentation(img):
return X
+def get_classification_model_weight(name):
+ """Return the relative ensemble weight for a classification model."""
+ if name == 'ResNet-50':
+ return 1.0
+ if name == 'Classifier-ResNet':
+ return 0.8
+ return 0.5
+
+
+def predict_classification_model(model, img, use_tta=True):
+ """Run a classification model with optional TTA."""
+ if use_tta and app.config['USE_TTA']:
+ return predict_with_tta_classification(model, img)
+ return model.predict(img, verbose=0)
+
+
+def estimate_classification_uncertainty(img, use_tta=True):
+ """
+ Estimate uncertainty for negative scans using deep ensembles and MC dropout.
+ Each model keeps its original ensemble weight regardless of the number of MC passes.
+ """
+ if not classification_models:
+ return None
+
+ uncertainty_passes = max(int(app.config['UNCERTAINTY_PASSES']), 1)
+ sample_predictions = []
+ sample_weights = []
+ mc_dropout_models = []
+ deterministic_models = []
+
+ active_models = classification_models if app.config['USE_ENSEMBLE'] else classification_models[:1]
+
+ for name, model in active_models:
+ sampling_model = classification_mc_models.get(name, model)
+ uses_mc_dropout = name in classification_mc_models
+ samples_for_model = uncertainty_passes if uses_mc_dropout else 1
+ per_sample_weight = get_classification_model_weight(name) / samples_for_model
+
+ if uses_mc_dropout:
+ mc_dropout_models.append(name)
+ else:
+ deterministic_models.append(name)
+
+ for _ in range(samples_for_model):
+ pred = predict_classification_model(sampling_model, img, use_tta=use_tta)
+ sample_predictions.append(np.asarray(pred).reshape(-1))
+ sample_weights.append(per_sample_weight)
+
+ if not sample_predictions:
+ return None
+
+ probs = np.vstack(sample_predictions).astype(np.float64)
+ weights = np.asarray(sample_weights, dtype=np.float64)
+ normalized_weights = weights / weights.sum()
+
+ mean_probs = np.average(probs, axis=0, weights=normalized_weights)
+ mean_probs = mean_probs / np.sum(mean_probs)
+
+ tumor_probs = probs[:, 1]
+ mean_tumor_probability = float(np.average(tumor_probs, weights=normalized_weights))
+ tumor_probability_variance = float(
+ np.average((tumor_probs - mean_tumor_probability) ** 2, weights=normalized_weights)
+ )
+ tumor_vote_fraction = float(
+ np.average(
+ (tumor_probs >= app.config['CONFIDENCE_THRESHOLD']).astype(np.float64),
+ weights=normalized_weights
+ )
+ )
+
+ return {
+ 'passes_requested': uncertainty_passes,
+ 'samples_collected': len(sample_predictions),
+ 'mc_dropout_enabled': bool(mc_dropout_models),
+ 'mc_dropout_models': mc_dropout_models,
+ 'deterministic_models': deterministic_models,
+ 'mean_prediction': {
+ 'no_tumor': float(mean_probs[0]),
+ 'tumor': float(mean_probs[1])
+ },
+ 'mean_tumor_probability': mean_tumor_probability,
+ 'tumor_probability_variance': tumor_probability_variance,
+ 'tumor_probability_std': float(np.sqrt(tumor_probability_variance)),
+ 'tumor_vote_fraction': tumor_vote_fraction
+ }
+
+
+def evaluate_negative_safety_check(confidence, uncertainty_metrics):
+ """Flag suspicious negative predictions that deserve manual review."""
+ reasons = []
+
+ if confidence < app.config['NO_TUMOR_REVIEW_CONFIDENCE']:
+ reasons.append('LOW_NO_TUMOR_CONFIDENCE')
+
+ variance = 0.0
+ tumor_vote_fraction = 0.0
+ if uncertainty_metrics:
+ variance = float(uncertainty_metrics.get('tumor_probability_variance', 0.0))
+ tumor_vote_fraction = float(uncertainty_metrics.get('tumor_vote_fraction', 0.0))
+ if variance > app.config['UNCERTAINTY_VARIANCE_THRESHOLD']:
+ reasons.append('HIGH_PREDICTION_VARIANCE')
+
+ flagged = bool(reasons)
+
+ return {
+ 'applied': True,
+ 'status': 'UNCERTAIN_SCAN' if flagged else 'CLEAR',
+ 'review_recommended': flagged,
+ 'reason_codes': reasons,
+ 'confidence_floor': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD'],
+ 'tumor_vote_fraction': tumor_vote_fraction,
+ 'uncertainty': uncertainty_metrics
+ }
+
+
def ensemble_classification_predict(img, use_tta=True):
"""
Ensemble prediction combining multiple classification models.
@@ -453,21 +628,14 @@ def ensemble_classification_predict(img, use_tta=True):
predictions = []
weights = []
- for name, model in classification_models:
- if use_tta and app.config['USE_TTA']:
- # Use Test Time Augmentation for more robust predictions
- pred = predict_with_tta_classification(model, img)
- else:
- pred = model.predict(img, verbose=0)
+ active_models = classification_models if app.config['USE_ENSEMBLE'] else classification_models[:1]
+
+ for name, model in active_models:
+ pred = predict_classification_model(model, img, use_tta=use_tta)
predictions.append(pred)
# Assign weights (primary model trained in notebook gets highest weight)
- if name == 'ResNet-50':
- weights.append(1.0) # Primary model from notebook - full weight
- elif name == 'Classifier-ResNet':
- weights.append(0.8) # Secondary trained model - high weight
- else:
- weights.append(0.5) # Other models - lower weight
+ weights.append(get_classification_model_weight(name))
# Normalize weights
weights = np.array(weights)
@@ -531,6 +699,213 @@ def post_process_segmentation(mask, min_area=100):
return cleaned_mask
+def find_demo_mask_path(image_path):
+ """Find a matching *_mask image for local demo inference when trained weights are absent."""
+ image_dir = os.path.dirname(image_path)
+ base_name = os.path.basename(image_path)
+ stem, _ = os.path.splitext(base_name)
+
+ for ext in ('.tif', '.tiff', '.png', '.jpg', '.jpeg'):
+ candidate = os.path.join(image_dir, f"{stem}_mask{ext}")
+ if os.path.exists(candidate):
+ return candidate
+
+ return None
+
+
+def build_demo_mask(img_original, image_path):
+ """
+ Create a local demo mask so the UI can be shown without the trained weights.
+ Prefer dataset masks when available; otherwise use a conservative bright-region heuristic.
+ """
+ mask_path = find_demo_mask_path(image_path)
+ if mask_path:
+ mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)
+ if mask is not None:
+ mask = cv2.resize(mask, (256, 256))
+ mask_binary = (mask > 20).astype(np.uint8)
+ if int(np.sum(mask_binary)) >= 80:
+ return mask_binary
+
+ resized = cv2.resize(img_original, (256, 256))
+ gray = cv2.cvtColor(resized, cv2.COLOR_BGR2GRAY) if len(resized.shape) == 3 else resized
+ blurred = cv2.GaussianBlur(gray, (7, 7), 0)
+ threshold = np.percentile(blurred, 94)
+ mask = (blurred >= threshold).astype(np.uint8)
+ mask = post_process_segmentation(mask, min_area=80)
+
+ if int(np.sum(mask)) < 80:
+ mask = np.zeros((256, 256), dtype=np.uint8)
+ cv2.ellipse(mask, (150, 115), (22, 15), -20, 0, 360, 1, -1)
+
+ return mask
+
+
+def predict_tumor_demo(image_path, img_original=None):
+ """Return a deterministic local demo result when model weights are unavailable."""
+ if img_original is None:
+ img_original = cv2.imread(image_path)
+ if img_original is None:
+ try:
+ img_pil = Image.open(image_path)
+ img_original = cv2.cvtColor(np.array(img_pil), cv2.COLOR_RGB2BGR)
+ except Exception:
+ return None
+
+ mask_binary = build_demo_mask(img_original, image_path)
+ total_pixels = int(mask_binary.shape[0] * mask_binary.shape[1])
+ tumor_pixels = int(np.sum(mask_binary))
+ if tumor_pixels == 0:
+ cv2.ellipse(mask_binary, (150, 115), (22, 15), -20, 0, 360, 1, -1)
+ tumor_pixels = int(np.sum(mask_binary))
+ tumor_percentage = (tumor_pixels / total_pixels) * 100
+ confidence = 0.91
+
+ y_indices, x_indices = np.where(mask_binary == 1)
+ bbox = {
+ 'x_min': int(np.min(x_indices)),
+ 'y_min': int(np.min(y_indices)),
+ 'x_max': int(np.max(x_indices)),
+ 'y_max': int(np.max(y_indices)),
+ 'width': int(np.max(x_indices) - np.min(x_indices)),
+ 'height': int(np.max(y_indices) - np.min(y_indices))
+ }
+ centroid = {
+ 'x': int(np.mean(x_indices)),
+ 'y': int(np.mean(y_indices))
+ }
+
+ mask_raw = mask_binary.astype(np.float32)
+ mask_heatmap = (mask_raw * 255).astype(np.uint8)
+ mask_colored = cv2.applyColorMap(mask_heatmap, cv2.COLORMAP_JET)
+
+ overlay = cv2.resize(img_original.copy(), (256, 256))
+ green_overlay = overlay.copy()
+ green_overlay[mask_binary == 1] = [0, 255, 0]
+ overlay = cv2.addWeighted(overlay, 0.7, green_overlay, 0.3, 0)
+ contours, _ = cv2.findContours(mask_binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+ cv2.drawContours(overlay, contours, -1, (0, 255, 255), 2)
+
+ _, mask_buffer = cv2.imencode('.png', mask_colored)
+ _, overlay_buffer = cv2.imencode('.png', overlay)
+ mask_base64 = base64.b64encode(mask_buffer).decode('utf-8')
+ overlay_base64 = base64.b64encode(overlay_buffer).decode('utf-8')
+
+ if tumor_percentage > 10:
+ severity, severity_color, urgency = 'High', '#dc2626', 'Immediate'
+ elif tumor_percentage > 5:
+ severity, severity_color, urgency = 'Moderate', '#f59e0b', 'Priority'
+ elif tumor_percentage > 1:
+ severity, severity_color, urgency = 'Low', '#10b981', 'Routine'
+ else:
+ severity, severity_color, urgency = 'Minimal', '#3b82f6', 'Monitor'
+
+ pixel_to_mm = 200 / 256
+ recommendations = [
+ 'Manual radiologist review recommended',
+ 'Use the trained model weights for clinical-grade inference',
+ 'Correlate with symptoms, prior scans, and radiology notes',
+ 'Consider follow-up imaging if clinical suspicion remains',
+ 'This local demo mode is for UI validation only'
+ ]
+
+ return {
+ 'has_tumor': True,
+ 'confidence': confidence,
+ 'prediction_status': 'TUMOR_DETECTED',
+ 'requires_manual_review': False,
+ 'classification_scores': {
+ 'no_tumor': 1 - confidence,
+ 'tumor': confidence
+ },
+ 'safety_check': {
+ 'applied': False,
+ 'status': 'NOT_APPLICABLE',
+ 'review_recommended': False,
+ 'reason_codes': [],
+ 'confidence_floor': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD'],
+ 'tumor_vote_fraction': 0.0,
+ 'uncertainty': None
+ },
+ 'analysis_method': {
+ 'demo_mode': True,
+ 'tta_enabled': False,
+ 'ensemble_enabled': False,
+ 'classification_models_used': 0,
+ 'segmentation_models_used': 0,
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'uncertainty_passes': app.config['UNCERTAINTY_PASSES']
+ },
+ 'segmentation': {
+ 'mask': f"data:image/png;base64,{mask_base64}",
+ 'overlay': f"data:image/png;base64,{overlay_base64}",
+ 'tumor_area_percentage': float(tumor_percentage),
+ 'tumor_pixels': tumor_pixels,
+ 'total_pixels': total_pixels,
+ 'bounding_box': bbox,
+ 'centroid': centroid,
+ 'mask_confidence': confidence
+ },
+ 'severity_assessment': {
+ 'level': severity,
+ 'severity_color': severity_color,
+ 'urgency': urgency,
+ 'tumor_coverage': f"{tumor_percentage:.2f}%",
+ 'recommendation': recommendations[0]
+ },
+ 'detailed_report': {
+ 'scan_id': str(uuid.uuid4())[:8].upper(),
+ 'scan_date': datetime.now().isoformat(),
+ 'patient_type': 'Anonymous',
+ 'scan_type': 'Brain MRI (Local demo mode)',
+ 'image_resolution': '256 x 256 pixels',
+ 'tumor_characteristics': {
+ 'detected': True,
+ 'confidence_score': f"{confidence * 100:.1f}%",
+ 'coverage_percentage': f"{tumor_percentage:.2f}%",
+ 'affected_pixels': f"{tumor_pixels:,}",
+ 'total_pixels': f"{total_pixels:,}",
+ 'estimated_size': {
+ 'width_mm': f"{bbox['width'] * pixel_to_mm:.1f}",
+ 'height_mm': f"{bbox['height'] * pixel_to_mm:.1f}",
+ 'area_mm2': f"{tumor_pixels * (pixel_to_mm ** 2):.1f}"
+ },
+ 'shape_assessment': 'Demo-generated suspicious region',
+ 'location': 'Approximate highlighted region',
+ 'location_risk': 'Requires trained-model and clinical review'
+ },
+ 'severity_details': {
+ 'level': severity,
+ 'color': severity_color,
+ 'urgency': urgency,
+ 'description': 'Local demo inference highlighted a suspicious region for UI validation because trained model weights are unavailable.'
+ },
+ 'bounding_box': bbox,
+ 'centroid': centroid,
+ 'mask_confidence': f"{confidence * 100:.1f}%",
+ 'recommendations': recommendations,
+ 'analysis_metadata': {
+ 'models_used': ['Local demo fallback'],
+ 'demo_mode': True,
+ 'tta_enabled': False,
+ 'ensemble_enabled': False,
+ 'prediction_status': 'TUMOR_DETECTED',
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'processing_time': 'Real-time',
+ 'ai_version': '2.0.0'
+ },
+ 'safety_check': {
+ 'applied': False,
+ 'status': 'NOT_APPLICABLE',
+ 'review_recommended': False,
+ 'reason_codes': []
+ },
+ 'disclaimer': 'Demo mode is for UI validation only. Add the trained weights for real model inference.'
+ }
+ }
+
+
def predict_tumor(image_path, img_original=None, use_tta=None):
"""
Enhanced two-stage prediction with ensemble models and TTA:
@@ -573,19 +948,41 @@ def predict_tumor(image_path, img_original=None, use_tta=None):
# Use configurable threshold for more accurate detection
has_tumor = tumor_probability >= app.config['CONFIDENCE_THRESHOLD']
confidence = max(tumor_probability, no_tumor_probability)
+ uncertainty_metrics = None
+ safety_check = {
+ 'applied': False,
+ 'status': 'NOT_APPLICABLE' if has_tumor else 'DISABLED',
+ 'review_recommended': False,
+ 'reason_codes': [],
+ 'confidence_floor': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD'],
+ 'tumor_vote_fraction': 0.0,
+ 'uncertainty': None
+ }
+ prediction_status = 'TUMOR_DETECTED' if has_tumor else 'NO_TUMOR'
+
+ if not has_tumor and app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK']:
+ uncertainty_metrics = estimate_classification_uncertainty(img_class, use_tta=_use_tta)
+ safety_check = evaluate_negative_safety_check(confidence, uncertainty_metrics)
+ prediction_status = safety_check['status']
result = {
'has_tumor': has_tumor,
'confidence': confidence,
+ 'prediction_status': prediction_status,
+ 'requires_manual_review': safety_check['review_recommended'],
'classification_scores': {
'no_tumor': no_tumor_probability,
'tumor': tumor_probability
},
+ 'safety_check': safety_check,
'analysis_method': {
'tta_enabled': _use_tta,
'ensemble_enabled': app.config['USE_ENSEMBLE'],
'classification_models_used': len(classification_models),
- 'segmentation_models_used': len(segmentation_models)
+ 'segmentation_models_used': len(segmentation_models),
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'uncertainty_passes': app.config['UNCERTAINTY_PASSES']
}
}
@@ -822,14 +1219,44 @@ def predict_tumor(image_path, img_original=None, use_tta=None):
'models_used': [name for name, _ in classification_models] + [name for name, _ in segmentation_models],
'tta_enabled': _use_tta,
'ensemble_enabled': app.config['USE_ENSEMBLE'],
+ 'prediction_status': result['prediction_status'],
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
'processing_time': 'Real-time',
'ai_version': '2.0.0'
},
+ 'safety_check': result['safety_check'],
'disclaimer': 'This AI-generated report is intended for informational purposes only and should not replace professional medical diagnosis. Please consult with qualified healthcare professionals for proper diagnosis and treatment planning.'
}
else:
- # No tumor detected - add basic report
+ # No tumor detected - add a clear or review-needed report
+ uncertain_negative = result['prediction_status'] == 'UNCERTAIN_SCAN'
+ negative_description = (
+ 'No dominant tumor signal was detected, but the secondary safety check found elevated uncertainty. Manual review is recommended before treating this scan as clear.'
+ if uncertain_negative else
+ 'No abnormal tissue masses detected in this scan.'
+ )
+ negative_recommendations = (
+ [
+ 'Manual radiologist review recommended before clearing this scan',
+ 'Consider repeat MRI or contrast-enhanced imaging if clinical suspicion remains high',
+ 'Correlate with patient symptoms, prior scans, and radiology notes',
+ 'Monitor closely for subtle progression on follow-up imaging',
+ 'Treat this result as cautionary rather than definitive'
+ ] if uncertain_negative else
+ [
+ 'No immediate concerns identified',
+ 'Continue regular health check-ups',
+ 'Report any new neurological symptoms',
+ 'Maintain healthy lifestyle habits',
+ 'Follow-up as advised by your physician'
+ ]
+ )
+ negative_disclaimer = (
+ 'This scan was flagged for manual review because the negative prediction showed elevated uncertainty during stochastic inference. Please consult with qualified healthcare professionals for comprehensive evaluation.'
+ if uncertain_negative else
+ 'This AI-generated report is intended for informational purposes only. A negative result does not guarantee absence of pathology. Please consult with qualified healthcare professionals for comprehensive evaluation.'
+ )
result['detailed_report'] = {
'scan_id': str(uuid.uuid4())[:8].upper(),
'scan_date': datetime.now().isoformat(),
@@ -841,26 +1268,23 @@ def predict_tumor(image_path, img_original=None, use_tta=None):
'detected': False,
'confidence_score': f"{confidence * 100:.1f}%",
'coverage_percentage': '0.00%',
- 'description': 'No abnormal tissue masses detected in this scan.'
+ 'description': negative_description
},
- 'recommendations': [
- 'No immediate concerns identified',
- 'Continue regular health check-ups',
- 'Report any new neurological symptoms',
- 'Maintain healthy lifestyle habits',
- 'Follow-up as advised by your physician'
- ],
+ 'recommendations': negative_recommendations,
'analysis_metadata': {
'models_used': [name for name, _ in classification_models],
'tta_enabled': _use_tta,
'ensemble_enabled': app.config['USE_ENSEMBLE'],
+ 'prediction_status': result['prediction_status'],
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
'processing_time': 'Real-time',
'ai_version': '2.0.0'
},
+ 'safety_check': result['safety_check'],
- 'disclaimer': 'This AI-generated report is intended for informational purposes only. A negative result does not guarantee absence of pathology. Please consult with qualified healthcare professionals for comprehensive evaluation.'
+ 'disclaimer': negative_disclaimer
}
return result
@@ -879,6 +1303,7 @@ def health_check():
return jsonify({
'status': 'healthy',
'models_loaded': models_loaded,
+ 'demo_inference_enabled': app.config['ENABLE_DEMO_INFERENCE'],
'version': '1.0.0'
})
@@ -887,9 +1312,9 @@ def health_check():
def predict():
"""Handle image upload and prediction"""
- if not models_loaded:
+ if not models_loaded and not app.config['ENABLE_DEMO_INFERENCE']:
return jsonify({
- 'error': 'Models not loaded. Please restart the server.'
+ 'error': 'Models not loaded. Please add model weights or enable demo inference.'
}), 500
# Check if file is present
@@ -929,8 +1354,11 @@ def predict():
_, img_buffer = cv2.imencode('.png', img_original)
img_base64 = base64.b64encode(img_buffer).decode('utf-8')
- # Make prediction — pass already-loaded image to avoid a second disk read
- prediction_result = predict_tumor(filepath, img_original=img_original, use_tta=_use_tta)
+ # Use the real models when available; otherwise provide a labeled local demo result.
+ if models_loaded:
+ prediction_result = predict_tumor(filepath, img_original=img_original, use_tta=_use_tta)
+ else:
+ prediction_result = predict_tumor_demo(filepath, img_original=img_original)
if prediction_result is None:
return jsonify({'error': 'Failed to process image'}), 500
@@ -962,10 +1390,15 @@ def get_stats():
'ensemble_enabled': app.config['USE_ENSEMBLE'],
'classification_models': len(classification_models),
'segmentation_models': len(segmentation_models),
- 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD']
+ 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD'],
+ 'uncertainty_safety_check_enabled': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'uncertainty_passes': app.config['UNCERTAINTY_PASSES'],
+ 'no_tumor_review_confidence': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'uncertainty_variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD']
},
'models_info': {
'classification': [name for name, _ in classification_models],
+ 'classification_mc_dropout': list(classification_mc_models.keys()),
'segmentation': [name for name, _ in segmentation_models]
}
}
@@ -979,7 +1412,11 @@ def config():
return jsonify({
'use_tta': app.config['USE_TTA'],
'use_ensemble': app.config['USE_ENSEMBLE'],
- 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD']
+ 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD'],
+ 'enable_uncertainty_safety_check': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'uncertainty_passes': app.config['UNCERTAINTY_PASSES'],
+ 'no_tumor_review_confidence': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'uncertainty_variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD']
})
else:
data = request.get_json()
@@ -989,11 +1426,23 @@ def config():
app.config['USE_ENSEMBLE'] = bool(data['use_ensemble'])
if 'confidence_threshold' in data:
app.config['CONFIDENCE_THRESHOLD'] = float(data['confidence_threshold'])
+ if 'enable_uncertainty_safety_check' in data:
+ app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'] = bool(data['enable_uncertainty_safety_check'])
+ if 'uncertainty_passes' in data:
+ app.config['UNCERTAINTY_PASSES'] = max(1, int(data['uncertainty_passes']))
+ if 'no_tumor_review_confidence' in data:
+ app.config['NO_TUMOR_REVIEW_CONFIDENCE'] = float(data['no_tumor_review_confidence'])
+ if 'uncertainty_variance_threshold' in data:
+ app.config['UNCERTAINTY_VARIANCE_THRESHOLD'] = float(data['uncertainty_variance_threshold'])
return jsonify({
'status': 'updated',
'use_tta': app.config['USE_TTA'],
'use_ensemble': app.config['USE_ENSEMBLE'],
- 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD']
+ 'confidence_threshold': app.config['CONFIDENCE_THRESHOLD'],
+ 'enable_uncertainty_safety_check': app.config['ENABLE_UNCERTAINTY_SAFETY_CHECK'],
+ 'uncertainty_passes': app.config['UNCERTAINTY_PASSES'],
+ 'no_tumor_review_confidence': app.config['NO_TUMOR_REVIEW_CONFIDENCE'],
+ 'uncertainty_variance_threshold': app.config['UNCERTAINTY_VARIANCE_THRESHOLD']
})
@@ -1267,6 +1716,8 @@ def save_scan():
'scan_date': current_time.isoformat(), # Store as ISO string for JSON
'has_tumor': data.get('has_tumor', False),
'confidence': data.get('confidence', 0),
+ 'prediction_status': data.get('prediction_status', 'TUMOR_DETECTED' if data.get('has_tumor', False) else 'NO_TUMOR'),
+ 'requires_manual_review': data.get('requires_manual_review', False),
'tumor_percentage': data.get('segmentation', {}).get('tumor_area_percentage', 0),
'severity': data.get('severity_assessment', {}).get('level', 'N/A'),
'original_image_url': original_url,
@@ -1333,6 +1784,8 @@ def get_history():
'date': doc['scan_date'].isoformat() if doc.get('scan_date') else None,
'has_tumor': doc.get('has_tumor', False),
'confidence': doc.get('confidence', 0),
+ 'prediction_status': doc.get('prediction_status', 'TUMOR_DETECTED' if doc.get('has_tumor', False) else 'NO_TUMOR'),
+ 'requires_manual_review': doc.get('requires_manual_review', False),
'tumor_percentage': doc.get('tumor_percentage', 0),
'severity': doc.get('severity', 'N/A'),
'share_token': doc.get('share_token'),
@@ -1355,6 +1808,8 @@ def get_history():
'date': scan_date,
'has_tumor': doc.get('has_tumor', False),
'confidence': doc.get('confidence', 0),
+ 'prediction_status': doc.get('prediction_status', 'TUMOR_DETECTED' if doc.get('has_tumor', False) else 'NO_TUMOR'),
+ 'requires_manual_review': doc.get('requires_manual_review', False),
'tumor_percentage': doc.get('tumor_percentage', 0),
'severity': doc.get('severity', 'N/A'),
'share_token': doc.get('share_token'),
@@ -1410,6 +1865,8 @@ def get_scan_detail(scan_id):
'date': doc['scan_date'].isoformat() if doc.get('scan_date') else None,
'has_tumor': doc.get('has_tumor', False),
'confidence': doc.get('confidence', 0),
+ 'prediction_status': doc.get('prediction_status', 'TUMOR_DETECTED' if doc.get('has_tumor', False) else 'NO_TUMOR'),
+ 'requires_manual_review': doc.get('requires_manual_review', False),
'tumor_percentage': doc.get('tumor_percentage', 0),
'severity': doc.get('severity', 'N/A'),
'share_token': doc.get('share_token'),
@@ -1531,3 +1988,8 @@ def share_scan(token):
print(" - classifier-resnet-model.json")
print(" - classifier-resnet-weights.keras")
print(" - ResUNet-model.json")
+ print("\nStarting Flask server with predictions disabled.")
+ print("Access the application at: http://localhost:5000")
+ print("API Health Check: http://localhost:5000/api/health")
+ print("=" * 70)
+ app.run(debug=True, host='0.0.0.0', port=5000)
diff --git a/flask-ui.err.log b/flask-ui.err.log
new file mode 100644
index 0000000..e69de29
diff --git a/flask-ui.out.log b/flask-ui.out.log
new file mode 100644
index 0000000..e69de29
diff --git a/static/js/script.js b/static/js/script.js
index fe2e013..c9e7269 100644
--- a/static/js/script.js
+++ b/static/js/script.js
@@ -601,13 +601,20 @@ function showResults(results) {
function generateResultsHTML(results) {
const hasTumor = results.has_tumor;
+ const predictionStatus = results.prediction_status || (hasTumor ? 'TUMOR_DETECTED' : 'NO_TUMOR');
+ const isUncertainScan = predictionStatus === 'UNCERTAIN_SCAN';
+ const needsAttention = hasTumor || isUncertainScan;
const confidence = (results.confidence * 100).toFixed(1);
const report = results.detailed_report || {};
+ const safetyCheck = results.safety_check || {};
+ const uncertainty = safetyCheck.uncertainty || {};
// Doctor's verdict based on results
- const doctorVerdict = hasTumor
+ const doctorVerdict = hasTumor
? `Based on my examination and the AI analysis, I've identified an abnormal tissue mass in the MRI scan. The ${confidence}% confidence level suggests this requires immediate attention. I recommend scheduling a follow-up consultation with a neurologist for further evaluation and to discuss treatment options.`
- : `After carefully reviewing this MRI scan along with our AI analysis, I'm pleased to report that no tumor indicators were detected. The brain tissue appears healthy with normal density patterns. However, please continue with regular check-ups as recommended by your primary physician.`;
+ : isUncertainScan
+ ? `The primary model did not find a dominant tumor signal, but the secondary safety check flagged this scan as uncertain. Because low-confidence or high-variance negatives can hide subtle abnormalities, I recommend manual radiology review before treating this result as fully clear.`
+ : `After carefully reviewing this MRI scan along with our AI analysis, I'm pleased to report that no tumor indicators were detected. The brain tissue appears healthy with normal density patterns. However, please continue with regular check-ups as recommended by your primary physician.`;
let html = `
@@ -648,9 +655,9 @@ function generateResultsHTML(results) {
Senior Neuroradiologist
-
-
-
${hasTumor ? 'Requires Attention' : 'All Clear'}
+
+
+ ${hasTumor ? 'Requires Attention' : (isUncertainScan ? 'Review Recommended' : 'All Clear')}
@@ -666,9 +673,9 @@ function generateResultsHTML(results) {