%PDF-1.6
%
1 0 obj
<< /Metadata 3 0 R /OutputIntents [ << /DestOutputProfile 4 0 R /Info (U.S. Web Coated \(SWOP\) v2) /OutputCondition () /OutputConditionIdentifier (CGATS TR 001) /RegistryName (http://www.color.org) /S /GTS_PDFX /Type /OutputIntent >> ] /Pages 5 0 R /Type /Catalog >>
endobj
2 0 obj
<< /Author (Kids Academy) /CreationDate (D:20171015000045+04'00') /Creator (Adobe Illustrator CC 2015 \(Windows\)) /GTS_PDFXVersion (PDF/X-4) /ModDate (D:20220119105552+00'00') /Producer (pikepdf 4.3.1) /Subject (Grade 2, Writing, Tracing Words) /Title (S Words Sight Words Printable Worksheet PDF) /Trapped /False >>
endobj
3 0 obj
<< /Subtype /XML /Type /Metadata /Length 121438 >>
stream
application/pdf
S Words Sight Words Printable Worksheet PDF
2022-01-19T04:55:52.241264-06:00
2022-01-19T10:55:52+00:00
2017-10-15T00:00:45+04:00
Adobe Illustrator CC 2015 (Windows)
256
256
JPEG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uuid:e2fe2998-d3ab-4a89-a338-64bcdc1d6ef5
xmp.did:50f65f20-c939-1c45-bcfa-1ecded15f9d3
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
1
uuid:39363d65-3d84-41a0-9545-a3c6b32a646e
xmp.did:61e70502-d381-bb44-9016-e4477c779a6f
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
saved
xmp.iid:1ba4aebb-88fe-f04d-984a-2201e8464873
2016-11-15T15:10:46+03:00
Adobe Illustrator CC 2014 (Windows)
/
saved
xmp.iid:50f65f20-c939-1c45-bcfa-1ecded15f9d3
2017-10-15T00:00:43+03:00
Adobe Illustrator CC 2015 (Windows)
/
EmbedByReference
F:\014 WORK UZUMBA\0-work_shity\freelancer files\ai worksheets\2nd_Grade_sight_words PDF\siggt word.psd
xmp.did:7925486b-d88f-284b-91da-da91c51ad1b9
xmp.iid:c4ba8792-6b69-0540-b6b4-bddf83ab3501
F:\014 WORK UZUMBA\0-work_shity\freelancer files\ai worksheets\2nd_Grade_sight_words PDF\siggt word.psd
xmp.did:7925486b-d88f-284b-91da-da91c51ad1b9
xmp.iid:c4ba8792-6b69-0540-b6b4-bddf83ab3501
Print
False
True
1
595.000000
842.000000
Pixels
AGAvantGardeCyrBook
AGAvantGardeCyr
Book
TrueType
001.000
False
6775.ttf
ArialMT
Arial
Regular
Open Type
Version 5.22
False
arial.ttf
Capriola-Regular
Capriola
Regular
TrueType
Version 1.007
False
Capriola-Regular.ttf
GelPenUpright
GelPenUpright
Medium
TrueType
Version 001.000
False
GelPenUpright.ttf
GelPenUprightHeavy
GelPenUprightHeavy
Heavy
TrueType
Version 001.000
False
GelPenUprightHeavy.ttf
GothamRounded-Bold
Gotham Rounded
Bold
Open Type
Version 1.002
False
Gotham Rounded Bold.otf
TwCenMT-CondensedExtraBold
Tw Cen MT Condensed Extra Bold
Regular
Open Type
Version 1.03
False
TCCEB.TTF
Cyan
Magenta
Yellow
Black
Default Swatch Group
0
White
RGB
PROCESS
255
255
255
Black
RGB
PROCESS
35
31
32
CMYK Red
RGB
PROCESS
236
28
36
CMYK Yellow
RGB
PROCESS
255
241
0
CMYK Green
RGB
PROCESS
0
165
81
CMYK Cyan
RGB
PROCESS
0
173
238
CMYK Blue
RGB
PROCESS
46
49
145
CMYK Magenta
RGB
PROCESS
235
0
139
C=15 M=100 Y=90 K=10
RGB
PROCESS
190
30
45
C=0 M=90 Y=85 K=0
RGB
PROCESS
238
64
54
C=0 M=80 Y=95 K=0
RGB
PROCESS
240
90
40
C=0 M=50 Y=100 K=0
RGB
PROCESS
246
146
30
C=0 M=35 Y=85 K=0
RGB
PROCESS
250
175
64
C=5 M=0 Y=90 K=0
RGB
PROCESS
249
236
49
C=20 M=0 Y=100 K=0
RGB
PROCESS
214
222
35
C=50 M=0 Y=100 K=0
RGB
PROCESS
139
197
63
C=75 M=0 Y=100 K=0
RGB
PROCESS
55
179
74
C=85 M=10 Y=100 K=10
RGB
PROCESS
0
147
69
C=90 M=30 Y=95 K=30
RGB
PROCESS
0
104
56
C=75 M=0 Y=75 K=0
RGB
PROCESS
41
180
115
C=80 M=10 Y=45 K=0
RGB
PROCESS
0
166
156
C=70 M=15 Y=0 K=0
RGB
PROCESS
38
169
224
C=85 M=50 Y=0 K=0
RGB
PROCESS
27
117
187
C=100 M=95 Y=5 K=0
RGB
PROCESS
43
56
143
C=100 M=100 Y=25 K=25
RGB
PROCESS
38
34
97
C=75 M=100 Y=0 K=0
RGB
PROCESS
101
45
144
C=50 M=100 Y=0 K=0
RGB
PROCESS
144
39
142
C=35 M=100 Y=35 K=10
RGB
PROCESS
158
31
99
C=10 M=100 Y=50 K=0
RGB
PROCESS
217
28
92
C=0 M=95 Y=20 K=0
RGB
PROCESS
236
41
123
C=25 M=25 Y=40 K=0
RGB
PROCESS
193
180
154
C=40 M=45 Y=50 K=5
RGB
PROCESS
154
132
121
C=50 M=50 Y=60 K=25
RGB
PROCESS
113
101
88
C=55 M=60 Y=65 K=40
RGB
PROCESS
90
74
66
C=25 M=40 Y=65 K=0
RGB
PROCESS
195
153
107
C=30 M=50 Y=75 K=10
RGB
PROCESS
168
124
79
C=35 M=60 Y=80 K=25
RGB
PROCESS
138
93
59
C=40 M=65 Y=90 K=35
RGB
PROCESS
117
76
40
C=40 M=70 Y=100 K=50
RGB
PROCESS
96
56
19
C=50 M=70 Y=80 K=70
RGB
PROCESS
59
35
20
R=197 G=197 B=197
PROCESS
100.000000
RGB
196
196
196
R=49 G=50 B=52
PROCESS
100.000000
RGB
49
49
52
R=242 G=156 B=214
PROCESS
100.000000
RGB
242
156
214
R=171 G=102 B=204
PROCESS
100.000000
RGB
170
102
204
R=132 G=152 B=31
PROCESS
100.000000
RGB
131
151
31
R=149 G=166 B=55
PROCESS
100.000000
RGB
149
165
54
R=61 G=89 B=11
PROCESS
100.000000
RGB
61
89
10
R=103 G=69 B=2
PROCESS
100.000000
RGB
103
68
1
R=85 G=116 B=26
PROCESS
100.000000
RGB
84
116
26
R=58 G=45 B=0
PROCESS
100.000000
RGB
58
45
0
R=97 G=78 B=22
PROCESS
100.000000
RGB
96
77
22
R=42 G=31 B=0
PROCESS
100.000000
RGB
42
31
0
R=125 G=88 B=19
PROCESS
100.000000
RGB
124
87
19
R=50 G=38 B=0
PROCESS
100.000000
RGB
49
38
0
R=107 G=86 B=27
PROCESS
100.000000
RGB
107
86
26
R=166 G=124 B=106
PROCESS
100.000000
RGB
165
124
105
R=147 G=97 B=75
PROCESS
100.000000
RGB
147
96
75
R=12 G=13 B=17
PROCESS
100.000000
RGB
12
12
17
R=192 G=230 B=255
PROCESS
100.000000
RGB
191
230
255
R=50 G=194 B=255
PROCESS
100.000000
RGB
49
193
255
R=28 G=125 B=227
PROCESS
100.000000
RGB
28
124
226
R=157 G=221 B=229
PROCESS
100.000000
RGB
156
221
228
R=0 G=88 B=224
PROCESS
100.000000
RGB
0
87
223
R=184 G=232 B=237
PROCESS
100.000000
RGB
184
232
237
R=224 G=177 B=116
PROCESS
100.000000
RGB
223
177
116
R=230 G=186 B=123
PROCESS
100.000000
RGB
230
186
123
R=174 G=75 B=71
PROCESS
100.000000
RGB
174
75
70
R=93 G=78 B=62
PROCESS
100.000000
RGB
93
77
61
R=180 G=100 B=19
PROCESS
100.000000
RGB
179
100
19
R=164 G=87 B=10
PROCESS
100.000000
RGB
163
86
10
R=175 G=97 B=13
PROCESS
100.000000
RGB
175
96
12
R=162 G=85 B=9
PROCESS
100.000000
RGB
161
84
8
R=192 G=55 B=63
PROCESS
100.000000
RGB
191
54
63
R=188 G=110 B=57
PROCESS
100.000000
RGB
188
110
56
R=250 G=181 B=149
PROCESS
100.000000
RGB
249
181
149
R=253 G=203 B=169
PROCESS
100.000000
RGB
253
202
168
R=255 G=194 B=14
PROCESS
100.000000
RGB
255
193
14
R=207 G=224 B=202
PROCESS
100.000000
RGB
207
223
202
R=80 G=65 B=53
PROCESS
100.000000
RGB
80
65
52
R=183 G=73 B=68
PROCESS
100.000000
RGB
182
73
68
R=219 G=96 B=91
PROCESS
100.000000
RGB
219
96
91
R=161 G=211 B=227
PROCESS
100.000000
RGB
161
211
226
R=179 G=223 B=240
PROCESS
100.000000
RGB
179
223
239
R=178 G=49 B=68
PROCESS
100.000000
RGB
177
49
68
R=186 G=53 B=66
PROCESS
100.000000
RGB
186
52
66
R=33 G=135 B=159
PROCESS
100.000000
RGB
33
135
158
R=255 G=81 B=119 1
RGB
PROCESS
255
81
119
R=37 G=139 B=171
PROCESS
100.000000
RGB
36
138
170
R=149 G=80 B=12
PROCESS
100.000000
RGB
149
80
12
R=88 G=79 B=72
PROCESS
100.000000
RGB
87
79
72
R=237 G=28 B=36 1
RGB
PROCESS
237
28
36
R=147 G=224 B=255 1
RGB
PROCESS
147
224
255
R=0 G=159 B=213 1
RGB
PROCESS
0
159
213
R=0 G=176 B=255 1
RGB
PROCESS
0
176
255
R=251 G=192 B=45 1
RGB
PROCESS
251
192
45
R=171 G=71 B=188 1
RGB
PROCESS
171
71
188
R=50 G=212 B=110 1
RGB
PROCESS
50
212
110
R=44 G=52 B=59
PROCESS
100.000000
RGB
43
52
59
R=21 G=79 B=158
PROCESS
100.000000
RGB
21
79
158
R=107 G=16 B=14
PROCESS
100.000000
RGB
107
15
14
R=184 G=56 B=13
PROCESS
100.000000
RGB
184
56
12
R=35 G=77 B=128
PROCESS
100.000000
RGB
35
77
128
R=235 G=68 B=39
PROCESS
100.000000
RGB
235
68
38
R=25 G=55 B=90
PROCESS
100.000000
RGB
24
54
89
R=201 G=136 B=11
PROCESS
100.000000
RGB
200
135
10
R=204 G=48 B=25
PROCESS
100.000000
RGB
204
47
24
R=230 G=252 B=251
PROCESS
100.000000
RGB
230
251
251
R=250 G=211 B=7
PROCESS
100.000000
RGB
249
211
7
R=134 G=163 B=46
PROCESS
100.000000
RGB
133
163
45
C=67 M=0 Y=53 K=18
PROCESS
100.000000
RGB
71
159
127
R=118 G=195 B=171
PROCESS
100.000000
RGB
118
194
171
R=237 G=107 B=41
PROCESS
100.000000
RGB
237
107
40
R=252 G=189 B=174
PROCESS
100.000000
RGB
251
188
174
C=2 M=7 Y=14 K=0
PROCESS
100.000000
RGB
251
239
224
R=186 G=32 B=102 1
RGB
PROCESS
186
32
102
R=0 G=170 B=255 1
RGB
PROCESS
0
170
255
R=223 G=0 B=96 1
RGB
PROCESS
223
0
96
R=249 G=149 B=199 1
RGB
PROCESS
249
149
199
R=0 G=158 B=211 1
RGB
PROCESS
0
158
211
R=185 G=229 B=250 1
RGB
PROCESS
185
229
250
R=224 G=141 B=32
PROCESS
100.000000
RGB
223
140
31
R=255 G=184 B=80
PROCESS
100.000000
RGB
255
184
80
R=140 G=65 B=14
PROCESS
100.000000
RGB
140
65
14
R=244 G=160 B=37
PROCESS
100.000000
RGB
244
160
36
R=255 G=206 B=128
PROCESS
100.000000
RGB
255
205
128
R=161 G=87 B=27
PROCESS
100.000000
RGB
161
86
26
R=191 G=112 B=52
PROCESS
100.000000
RGB
191
112
52
R=119 G=53 B=7
PROCESS
100.000000
RGB
119
52
7
R=150 G=79 B=21
PROCESS
100.000000
RGB
149
79
21
R=178 G=100 B=36
PROCESS
100.000000
RGB
177
100
35
R=198 G=135 B=84
PROCESS
100.000000
RGB
198
135
84
R=193 G=120 B=64
PROCESS
100.000000
RGB
193
119
63
R=142 G=107 B=135
PROCESS
100.000000
RGB
142
107
135
R=114 G=86 B=114
PROCESS
100.000000
RGB
114
86
114
Grays
1
C=0 M=0 Y=0 K=100
RGB
PROCESS
35
31
32
C=0 M=0 Y=0 K=90
RGB
PROCESS
64
64
65
C=0 M=0 Y=0 K=80
RGB
PROCESS
88
89
91
C=0 M=0 Y=0 K=70
RGB
PROCESS
109
110
112
C=0 M=0 Y=0 K=60
RGB
PROCESS
128
129
132
C=0 M=0 Y=0 K=50
RGB
PROCESS
146
148
151
C=0 M=0 Y=0 K=40
RGB
PROCESS
166
168
171
C=0 M=0 Y=0 K=30
RGB
PROCESS
187
189
191
C=0 M=0 Y=0 K=20
RGB
PROCESS
208
210
211
C=0 M=0 Y=0 K=10
RGB
PROCESS
230
231
232
C=0 M=0 Y=0 K=5
RGB
PROCESS
241
241
242
Brights
1
C=0 M=100 Y=100 K=0
RGB
PROCESS
236
28
36
C=0 M=75 Y=100 K=0
RGB
PROCESS
241
101
34
C=0 M=10 Y=95 K=0
RGB
PROCESS
255
221
21
C=85 M=10 Y=100 K=0
RGB
PROCESS
0
161
75
C=100 M=90 Y=0 K=0
RGB
PROCESS
34
64
153
C=60 M=90 Y=0 K=0
RGB
PROCESS
127
63
151
pikepdf 4.3.1
False
PDF/X-4
PDF/X-4
Kids AcademyGrade 2, Writing, Tracing Words
endstream
endobj
4 0 obj
<< /N 4 /Length 383978 /Filter /FlateDecode >>
stream
xPS]((*bAEl(
X ET(H=+HB)6+k9{{+'fg^$@A@=@EcHLr-M9??kI^LI-N6o_ds'@Ix=\XilnAix{@Ļ6&Mn6)X&Զus wA -1&5qw~"85q]d̡0gG5p*DQfzqc@J~Rc$[:{(ԝ s%)3@ޛ˦NXfN9syisrDW2ʙjP(^?EpDx@/,q.͒-(_6vN@EMd)U!кCa#G]sG=; _N|OJ:)oگ3d}~6U'
M_B;`u
CHL>6w8 xIKs(oh=S"9'|Wp䬴Sf(EjzfvAE闲*z
QQ7QpհG7j:Ժ-}OGP羮Оޘ'QCa)iيs5#}ό]pK.suڸ5.7;.AC㣚ǍOZv>ybWO^ykޟv5[?sI;_Sܘ1i36͌JUd
/Xa0nϢxXwU+b5onK*WFڽ#eS惞^[ߺ{/7߈P@Ϯݍ{A{~AF(-NEӢhf,(7Lx\/3_T$mri.