%PDF-1.5
%
1 0 obj
<>/OCGs[65 0 R 66 0 R]>>/Pages 2 0 R/Type/Catalog>>
endobj
64 0 obj
<>stream
2020-02-19T18:50:06+03:00
matplotlib 3.1.1, http://matplotlib.org
2021-08-03T15:50:01+02:00
2021-08-03T15:50:01+02:00
256
156
JPEG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matplotlib pdf backend 3.1.1
1
True
False
184.150000
111.759996
Millimeters
MyriadPro-Regular
Myriad Pro
Regular
Open Type
Version 2.062;PS 2.000;hotconv 1.0.57;makeotf.lib2.0.21895
False
MyriadPro-Regular.otf
Cyan
Magenta
Yellow
Black
Default Swatch Group
0
application/pdf
proof:pdf
uuid:476ad130-535a-0041-a4c2-1bbd69f9c466
uuid:fbc8aadc-7b67-154c-9969-fe3399d5aa11
endstream
endobj
2 0 obj
<>
endobj
10 0 obj
<>/Resources<>/Properties<>/XObject<>>>/Thumb 81 0 R/TrimBox[0.0 0.0 522.0 316.8]/Type/Page>>
endobj
68 0 obj
<>stream
HWˊ%WTM[62HhlyqBYU7"+<OO?|y{-l9cl5mϿe}Oaw~}u[Xm[q4bh7|ǜF
.=@7
eEHV%iRײ/foȊ:5IYo^tl5hZ)-Ahu"TNjIE9W#*2ꕧz*[]3PISa\J40A6h|W6+I.iudT')z-!(d#rO*YmQY|Y;i9"T0lgv#K(7
$(1sk ##уN7r8EOLQ퉉y>tL$'#:yIQ۵ꎡ|У'WAa SdBK|̛;2iOdGf a Pjc1{SAрŸ8 fVl3s&x"Jw҃[EEI'6z@Jl-U8|n2"AdŭB40*?`Bpd7B
ħ( p뢩Bs1h1;A_f0%j0~
tC1f?D$a}8,e["۠-:SزuFemK/$ի.N;{my:tzzzI=IJl`,$QNZdkKYI_ݸjJj3I~7[PY_/QrEވ lcĘX=FT@sٗx.6iRPwX8VIy=1n`A-_f*
WZW%A?K.)qWZd{)qCaTdF(OD tWxц}
+8jyNd)h=b(8Y1