%PDF-1.5
%
1 0 obj
<>/OCGs[12 0 R 13 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<>stream
application/pdf
Infografía Generación de Artefactos Saber Pro
2022-06-01T16:01:21-05:00
2022-06-01T16:01:21-05:00
2022-06-01T16:01:21-05:00
Adobe Illustrator 24.0 (Macintosh)
256
216
JPEG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uuid:3f6c98da-c3f3-7844-926b-51ed4862dba4
xmp.did:1cb77df5-8d3d-404b-80d8-d1d7a20a6813
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
uuid:fc3791eb-de2c-174b-86f5-d0b85e548c6d
xmp.did:969cd7d0-b82d-4249-b11e-e4783e7dff3e
uuid:5D20892493BFDB11914A8590D31508C8
default
saved
xmp.iid:55F5AC8E7F7CE711B7BAD468C8291347
2017-08-08T16:21:35-05:00
Adobe Illustrator CS5.1
/
saved
xmp.iid:1cb77df5-8d3d-404b-80d8-d1d7a20a6813
2022-06-01T16:01:16-05:00
Adobe Illustrator 24.0 (Macintosh)
/
Print
Adobe Illustrator
False
True
1
792.000000
612.000000
Points
AbrikosDEMO-Regular
Abrikos DEMO
Regular
Open Type
Version 1.000
False
abrikos-demo.regular.otf
Futura-CondensedExtraBold
Futura
Condensed ExtraBold
TrueType
13.0d1e3
False
Futura.ttc
Futura-Medium
Futura
Medium
TrueType
13.0d1e3
False
Futura.ttc
FuturaStd-Heavy
Futura Std
Heavy
Open Type
OTF 1.029;PS 001.002;Core 1.0.33;makeotf.lib1.4.1585
False
FuturaStd-Heavy.otf
Glory-SemiBold
Glory
SemiBold
TrueType
Version 1.011
False
Glory-SemiBold.ttf
Glory-ExtraBold
Glory
ExtraBold
TrueType
Version 1.011
False
Glory-ExtraBold.ttf
Montserrat-SemiBold
Montserrat
SemiBold
Open Type
Version 7.200
False
Montserrat-SemiBold.ttf
Cyan
Magenta
Yellow
Black
PANTONE Violet C
Grupo de muestras por defecto
0
PANTONE 286 C
SPOT
100.000000
LAB
23.137300
18
-68
C=0 M=48 Y=95 K=0 1
RGB
PROCESS
244
151
18
PANTONE 242 C 2
SPOT
100.000000
LAB
31.764700
45
-12
PANTONE 236 C
SPOT
100.000000
LAB
77.647102
34
-15
PANTONE 237 C
SPOT
100.000000
LAB
69.803902
48
-19
PANTONE 238 C
SPOT
100.000000
LAB
61.176498
62
-23
PANTONE 239 C
SPOT
100.000000
LAB
54.902000
69
-24
PANTONE 240 C
SPOT
100.000000
LAB
48.235298
67
-22
PANTONE 241 C
SPOT
100.000000
LAB
41.568600
64
-19
PANTONE 242 C
SPOT
100.000000
LAB
31.764700
45
-12
PANTONE 326 C
SPOT
100.000000
LAB
63.137299
-49
-11
PANTONE P 122-8 U
PROCESS
100.000000
RGB
0
128
148
PANTONE 2728 C
SPOT
100.000000
LAB
32.549000
18
-68
PANTONE Orange 021 C
SPOT
100.000000
LAB
60.784302
66
85
PANTONE 8780 C
SPOT
100.000000
LAB
28.627501
9
-18
PANTONE 8781 C
SPOT
100.000000
LAB
29.019600
4
-20
PANTONE P 40-16 U
PROCESS
100.000000
RGB
210
65
28
PANTONE P 41-15 U
PROCESS
100.000000
RGB
175
65
30
PANTONE P 40-15 U
PROCESS
100.000000
RGB
214
82
43
PANTONE P 40-7 U
PROCESS
100.000000
RGB
235
99
56
PANTONE P 34-8 U
PROCESS
100.000000
RGB
234
90
18
PANTONE P 71-8 U
PROCESS
100.000000
RGB
229
0
106
PANTONE P 71-16 U
PROCESS
100.000000
RGB
191
0
89
PANTONE P 69-7 U
PROCESS
100.000000
RGB
199
39
93
PANTONE P 68-7 U
PROCESS
100.000000
RGB
231
53
111
PANTONE P 68-8 U
PROCESS
100.000000
RGB
229
0
101
PANTONE P 65-8 U
PROCESS
100.000000
RGB
229
0
89
PANTONE P 76-8 U
PROCESS
100.000000
RGB
189
0
104
PANTONE P 76-16 U
PROCESS
100.000000
RGB
168
0
92
PANTONE P 75-8 U
PROCESS
100.000000
RGB
229
0
125
PANTONE P 75-7 U
PROCESS
100.000000
RGB
233
68
145
PANTONE P 76-7 U
PROCESS
100.000000
RGB
197
51
120
PANTONE P 76-6 U
PROCESS
100.000000
RGB
205
88
140
PANTONE P 75-6 U
PROCESS
100.000000
RGB
237
115
169
PANTONE P 75-14 U
PROCESS
100.000000
RGB
220
98
153
PANTONE P 75-15 U
PROCESS
100.000000
RGB
215
58
132
PANTONE P 45-8 U
PROCESS
100.000000
RGB
229
48
31
PANTONE P 48-14 U
PROCESS
100.000000
RGB
216
67
53
PANTONE P 45-6 U
PROCESS
100.000000
RGB
235
92
62
PANTONE P 155-5 U
PROCESS
100.000000
RGB
141
175
93
C=72 M=84 Y=0 K=0 1
RGB
PROCESS
104
63
145
PANTONE 7736 C
SPOT
100.000000
LAB
33.333302
-15
7
PANTONE 384 C
SPOT
100.000000
LAB
59.607800
-10
65
PANTONE 385 C
SPOT
100.000000
LAB
47.058800
-4
43
PANTONE 424 C
SPOT
100.000000
LAB
47.843102
-1
0
PANTONE 7733 C
SPOT
100.000000
LAB
40.392200
-39
16
PANTONE 7734 C
SPOT
100.000000
LAB
36.470600
-26
12
PANTONE 7735 C
SPOT
100.000000
LAB
33.725498
-17
11
PANTONE 285 C
SPOT
100.000000
LAB
45.098000
-5
-59
PANTONE 144 C
SPOT
100.000000
LAB
68.235298
35
76
PANTONE 1385 C
SPOT
100.000000
LAB
60.784302
33
69
PANTONE 7693 C
SPOT
100.000000
LAB
28.627501
-7
-33
PANTONE 7692 C
SPOT
100.000000
LAB
33.333302
-9
-36
PANTONE 7691 C
SPOT
100.000000
LAB
37.254902
-14
-40
PANTONE 7690 C
SPOT
100.000000
LAB
45.490200
-17
-37
PANTONE 2738 C
SPOT
100.000000
LAB
14.117600
39
-70
PANTONE 2748 C
SPOT
100.000000
LAB
13.333300
22
-54
PANTONE 300 C
SPOT
100.000000
LAB
35.686298
-10
-62
PANTONE 661 C
SPOT
100.000000
LAB
23.529400
14
-60
PANTONE 2747 C
SPOT
100.000000
LAB
13.725500
22
-54
PANTONE Violet C
SPOT
100.000000
LAB
18.823500
55
-70
PANTONE 2665 C
SPOT
100.000000
LAB
45.490200
35
-53
PANTONE 2655 C
SPOT
100.000000
LAB
56.470600
26
-43
PANTONE 660 C
SPOT
100.000000
LAB
50.980400
-1
-47
PANTONE 7693 C 2
SPOT
100.000000
LAB
28.627501
-7
-33
PANTONE 7692 C 2
SPOT
100.000000
LAB
33.333302
-9
-36
PANTONE 7691 C 2
SPOT
100.000000
LAB
37.254902
-14
-40
PANTONE 7690 C 2
SPOT
100.000000
LAB
45.490200
-17
-37
PANTONE Violet C 2
SPOT
100.000000
LAB
18.823500
55
-70
PANTONE 2655 C 2
SPOT
100.000000
LAB
56.470600
26
-43
PANTONE 2665 C 2
SPOT
100.000000
LAB
45.490200
35
-53
PANTONE 2602 C
SPOT
100.000000
LAB
34.902000
57
-45
PANTONE 2612 C 2
SPOT
100.000000
LAB
32.156898
46
-34
PANTONE P 93-8 U
PROCESS
100.000000
RGB
102
35
130
PANTONE P 176-12 U
PROCESS
100.000000
RGB
83
97
94
PANTONE P 176-11 U
PROCESS
100.000000
RGB
88
102
99
PANTONE P 175-14 U
PROCESS
100.000000
RGB
66
86
89
PANTONE P 169-14 U
PROCESS
100.000000
RGB
107
105
98
PANTONE P 175-6 U
PROCESS
100.000000
RGB
130
148
153
PANTONE P 179-8 U
PROCESS
100.000000
RGB
148
148
147
PANTONE P 174-11 U
PROCESS
100.000000
RGB
93
106
120
PANTONE P 174-9 U
PROCESS
100.000000
RGB
104
118
134
PANTONE P 174-10 U
PROCESS
100.000000
RGB
99
112
127
PANTONE P 174-15 U
PROCESS
100.000000
RGB
67
76
86
PANTONE P 33-12 U
PROCESS
100.000000
RGB
135
99
81
PANTONE P 15-14 U
PROCESS
100.000000
RGB
194
151
60
PANTONE P 15-8 U
PROCESS
100.000000
RGB
198
141
0
PANTONE P 34-16 U
PROCESS
100.000000
RGB
211
83
15
PANTONE P 26-14 U
PROCESS
100.000000
RGB
156
105
46
PANTONE P 26-13 U
PROCESS
100.000000
RGB
170
123
68
PANTONE P 26-12 U
PROCESS
100.000000
RGB
181
138
89
PANTONE P 26-4 U
PROCESS
100.000000
RGB
195
148
96
PANTONE P 26-5 U
PROCESS
100.000000
RGB
186
134
74
PANTONE P 26-6 U
PROCESS
100.000000
RGB
174
117
51
PANTONE P 96-5 U
PROCESS
100.000000
RGB
145
112
175
PANTONE 213 C
SPOT
100.000000
LAB
52.156898
75
6
PANTONE 375 C
SPOT
100.000000
LAB
78.823502
-40
77
Adobe PDF library 15.00
endstream
endobj
3 0 obj
<>
endobj
15 0 obj
<>/Resources<>/ExtGState<>/Font<>/ProcSet[/PDF/Text/ImageC/ImageI]/Properties<>/Shading<>/XObject<>>>/Thumb 165 0 R/TrimBox[0.0 0.0 792.0 612.0]/Type/Page>>
endobj
16 0 obj
<>stream
HWێ}W{~K`Ɋ% 4fg)'L,nvMuNF߿a?|$ѧ`N*bڜ/.ۿ<q+tOHv8~\mʲmϰmg{#{Ss'4>XDւ{vA;;GpϴލW]znm%l#9v;<x0=w0?|cwZrp?;}we~}\o@ܰYǑ>ӹ>;d~|4cjah5Xs|8o: _xk8`3VTo/iJg(>!(P_ Ha*juX pXW=ͫ\ɸ|#7Q.7߂-D§5qˁ|"]&KۭͣwI88kn%-2ʍg>_o&%6nIg+֧sSv_s\NP/3UM0/qڗ[W8KԮZ:U+LuoJ#8\?~@P]ԇM&p;P_럎}$1ek2z<PC%=b<Re%bPNNب%a8۶lQRyRt\t%XI}qS7MWku*+lW=^,a7,R/'cN8$Wqr.(Q}߱Eͬ
3CWKT/|f?*{pNP/f8VB]y>y4U0*Z_A?tl3g&^Ҿ@wcwC%8nh閧u Wa:NHNˎt?jv_>^/$ðx%,羴*EvyOĖ7]pu
ñdd2Z%MQҐe5_w$oh坉I5G5Iw{jXt?T$|]8E"?Ia{W^eVCl#M>2ϵۛ48oUXR=>cYO J\8R|C:S
,PFёK],î x_fwGQkI
Ue#Msy*')t!oxA~E[v/,m/
07.mjWC^)Aܪ6wqh/RQ\L
R >@Yy,lxaJz墳]6`/%,S%ڸ"萶 t8@UƥW=G(0*q(lmU?ʮZt'!56;.|gưKAim {loE
4EMhBG&
MPÌ8`B6Z ПG=}}BQ Z]+9`)bׄC0[;Vs<mLQqx!'ɚ5G"0 Pj
ֲV0$+}b:M;2u!"@#XѰ ੑյ;ã$
AD0>zx,i0:1žD9r`