Done !
| Server IP : 46.105.57.169 / Your IP : 216.73.217.35 Web Server : Apache System : Linux webm002.cluster120.gra.hosting.ovh.net 6.18.42-ovh-vps-grsec-zfs+ #1 SMP PREEMPT_DYNAMIC Wed Aug 5 15:59:48 CEST 2026 x86_64 User : verseaumee ( 152031) PHP Version : 8.5.7 Disable Function : _dyuweyrj4,_dyuweyrj4r,dl MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /home/verseaumee/123click/assets/ |
Upload File : |
home/verseaumee/emglobal/LOGO A LA MAZE ON 17 NOVEMBRE 2020.ai 0000604 00005510036 15074656500 0016112 0 ustar 00 %PDF-1.5
%����
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</OFF[37 0 R]/ON[38 0 R 39 0 R 40 0 R 41 0 R 42 0 R 43 0 R 44 0 R 45 0 R 46 0 R 47 0 R]/Order 48 0 R/RBGroups[]>>/OCGs[38 0 R 39 0 R 40 0 R 41 0 R 42 0 R 43 0 R 44 0 R 37 0 R 45 0 R 46 0 R 47 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 70195/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.6-c148 79.164050, 2019/10/01-18:03:16 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/"
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#"
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/"
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:stFnt="http://ns.adobe.com/xap/1.0/sType/Font#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/"
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">LOGO A LA MAZE ON 17 NOVEMBRE 2020</rdf:li>
</rdf:Alt>
</dc:title>
<xmp:MetadataDate>2020-11-28T17:10:57Z</xmp:MetadataDate>
<xmp:ModifyDate>2020-11-28T17:10:57Z</xmp:ModifyDate>
<xmp:CreateDate>2020-11-28T17:10:54+01:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator 24.1 (Windows)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>248</xmpGImg:width>
<xmpGImg:height>256</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
<xmpMM:InstanceID>uuid:d46016e2-6d15-42f9-83c8-b152886b67bf</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:bfebb4ea-f3cc-7146-8b20-0dee41111258</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>xmp.iid:9c36f827-90c4-5449-b4e5-1ddc1674d13a</stRef:instanceID>
<stRef:documentID>xmp.did:9c36f827-90c4-5449-b4e5-1ddc1674d13a</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>default</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:9c36f827-90c4-5449-b4e5-1ddc1674d13a</stEvt:instanceID>
<stEvt:when>2020-11-17T18:35:55Z</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator 24.1 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:bfebb4ea-f3cc-7146-8b20-0dee41111258</stEvt:instanceID>
<stEvt:when>2020-11-17T21:58:04Z</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator 24.1 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
<illustrator:Type>Document</illustrator:Type>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
<illustrator:CreatorSubTool>AIRobin</illustrator:CreatorSubTool>
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>False</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>4000.000000</stDim:w>
<stDim:h>4000.000000</stDim:h>
<stDim:unit>Pixels</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:Fonts>
<rdf:Bag>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>OpusPlainChords</stFnt:fontName>
<stFnt:fontFamily>Opus PlainChords</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>TrueType</stFnt:fontType>
<stFnt:versionString>Version 5.10</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>OPUSPC.TTF</stFnt:fontFileName>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>Streamster</stFnt:fontName>
<stFnt:fontFamily>Streamster</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>TrueType</stFnt:fontType>
<stFnt:versionString>Version 001.000</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>Streamster.ttf</stFnt:fontFileName>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>MADECoachella</stFnt:fontName>
<stFnt:fontFamily>MADE Coachella</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>Open Type</stFnt:fontType>
<stFnt:versionString>Version 1.000 PERSONAL USE</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>MADE Coachella Regular PERSONAL USE.otf</stFnt:fontFileName>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>MADECoachella-Medium</stFnt:fontName>
<stFnt:fontFamily>MADE Coachella</stFnt:fontFamily>
<stFnt:fontFace>Medium</stFnt:fontFace>
<stFnt:fontType>Open Type</stFnt:fontType>
<stFnt:versionString>Version 1.000 PERSONAL USE</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>MADE Coachella Medium PERSONAL USE.otf</stFnt:fontFileName>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>MADESoulmaze</stFnt:fontName>
<stFnt:fontFamily>MADE Soulmaze</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>Open Type</stFnt:fontType>
<stFnt:versionString>Version 1.000 PERSONAL USE</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>MADE Soulmaze PERSONAL USE.otf</stFnt:fontFileName>
</rdf:li>
</rdf:Bag>
</xmpTPg:Fonts>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Groupe de nuances par défaut</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Blanc</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Noir</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>100.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Rouge CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Jaune CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Vert CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Cyan CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Bleu CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Magenta CMJN</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 J=90 N=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>15.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>90.000000</xmpG:yellow>
<xmpG:black>10.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 J=85 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>90.000000</xmpG:magenta>
<xmpG:yellow>85.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 J=95 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>80.000000</xmpG:magenta>
<xmpG:yellow>95.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 J=85 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>35.000000</xmpG:magenta>
<xmpG:yellow>85.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 J=90 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>5.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>90.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>20.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 J=100 N=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>85.000000</xmpG:cyan>
<xmpG:magenta>10.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>10.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 J=95 N=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>90.000000</xmpG:cyan>
<xmpG:magenta>30.000000</xmpG:magenta>
<xmpG:yellow>95.000000</xmpG:yellow>
<xmpG:black>30.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 J=75 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>75.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 J=45 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>80.000000</xmpG:cyan>
<xmpG:magenta>10.000000</xmpG:magenta>
<xmpG:yellow>45.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>70.000000</xmpG:cyan>
<xmpG:magenta>15.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>85.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 J=5 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>95.000000</xmpG:magenta>
<xmpG:yellow>5.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 J=25 N=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>25.000000</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 J=35 N=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>35.000000</xmpG:yellow>
<xmpG:black>10.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 J=50 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>10.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>50.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 J=20 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>95.000000</xmpG:magenta>
<xmpG:yellow>20.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 J=40 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>25.000000</xmpG:cyan>
<xmpG:magenta>25.000000</xmpG:magenta>
<xmpG:yellow>40.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 J=50 N=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>40.000000</xmpG:cyan>
<xmpG:magenta>45.000000</xmpG:magenta>
<xmpG:yellow>50.000000</xmpG:yellow>
<xmpG:black>5.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 J=60 N=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>60.000000</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 J=65 N=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>55.000000</xmpG:cyan>
<xmpG:magenta>60.000000</xmpG:magenta>
<xmpG:yellow>65.000000</xmpG:yellow>
<xmpG:black>40.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 J=65 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>25.000000</xmpG:cyan>
<xmpG:magenta>40.000000</xmpG:magenta>
<xmpG:yellow>65.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 J=75 N=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>30.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>75.000000</xmpG:yellow>
<xmpG:black>10.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 J=80 N=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.000000</xmpG:cyan>
<xmpG:magenta>60.000000</xmpG:magenta>
<xmpG:yellow>80.000000</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 J=90 N=35</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>40.000000</xmpG:cyan>
<xmpG:magenta>65.000000</xmpG:magenta>
<xmpG:yellow>90.000000</xmpG:yellow>
<xmpG:black>35.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 J=100 N=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>40.000000</xmpG:cyan>
<xmpG:magenta>70.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>50.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 J=80 N=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>70.000000</xmpG:magenta>
<xmpG:yellow>80.000000</xmpG:yellow>
<xmpG:black>70.000000</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Gris</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=100</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>100.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=90</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>89.999400</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=80</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>79.998800</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>69.999700</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=60</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>59.999100</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>50.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>39.999400</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>29.998800</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=20</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>19.999700</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>9.999100</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 J=0 N=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>4.998800</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Couleurs vives</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>75.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 J=95 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>10.000000</xmpG:magenta>
<xmpG:yellow>95.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 J=100 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>85.000000</xmpG:cyan>
<xmpG:magenta>10.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>90.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 J=0 N=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>60.000000</xmpG:cyan>
<xmpG:magenta>90.000000</xmpG:magenta>
<xmpG:yellow>0.003100</xmpG:yellow>
<xmpG:black>0.003100</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
<pdf:Producer>Adobe PDF library 15.00</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[5 0 R]/Type/Pages>>
endobj
5 0 obj
<</ArtBox[567.108 504.405 3433.43 3492.61]/BleedBox[0.0 0.0 4000.0 4000.0]/Contents 49 0 R/CropBox[0.0 0.0 4000.0 4000.0]/LastModified(D:20201128171053+01'00')/MediaBox[0.0 0.0 4000.0 4000.0]/Parent 3 0 R/PieceInfo<</Illustrator 7 0 R>>/Resources<</ColorSpace<</CS0 50 0 R>>/ExtGState<</GS0 51 0 R/GS1 52 0 R>>/Font<</T1_0 33 0 R/T1_1 34 0 R/T1_2 36 0 R/TT0 53 0 R/TT1 35 0 R>>/ProcSet[/PDF/Text]/Properties<</MC0 38 0 R/MC1 39 0 R/MC10 47 0 R/MC2 40 0 R/MC3 41 0 R/MC4 42 0 R/MC5 43 0 R/MC6 44 0 R/MC7 37 0 R/MC8 45 0 R/MC9 46 0 R>>/XObject<</Fm0 54 0 R>>>>/Thumb 55 0 R/TrimBox[0.0 0.0 4000.0 4000.0]/Type/Page>>
endobj
49 0 obj
<</Filter/FlateDecode/Length 13109>>stream
H���O�$���)�h:'##���b0����/>,��Y �}{�^dMO�Z�,�teUEeF�x���w����||���q�������5����/9~�<=���#�?;����q��<��[��|���}�s�i�ގ⫦ޫ�����S���L3��j��Tk��jwk/W�=�<���b��s�Ż-e�t��ݿ������u_��|��#�?/.��|������KC��S�kd���Y��GF�GY�u�0JI��2�'3{[Q
���[�{��8�bݖ"��}_�{����۷^x�uC�K���>�����7/���W<<��ߴ��Å��>-��f=��ݫlͭ����S�w����߿�����F�[!���<��'˳�U�Z���R�$���J�ib,�Ev�R��Ě{�O���IK�lZj��K�F ����fNu ꞣT,�
w��H�S+�K��K�Ɂ|�S�Oj8�5�����ϫ�dl��
�:h�L�)�ا�D��\{\� w?8|�۱�tQ,5���I�L��}D*(���˃#��*�6Nq�5)�_�鵏K6��c��VS;�?nw��^��:�r"�O_���Zʶ/^��=>:g��ѣn�d�t-3Y�<Օ�N
$|�L4_�@�AT�kKkd!����ҵ^V8�����0�*IK�-��T���iA ��pv$����J���t'Q�_�\Җ���}/Ԣ�uf-46i�D�`L�%/��s,�8�`S<�����Jwp�m����T�rq_�E��Frs���v�FpT+���?�P�mi�쑾l:���n�����Bv����=j֢�2�Jǝ�]Q��*��&�j���dS���!pd��*CN0p��C=��il~�J��S@�iR�
zZm7u����n<C�� )�
-yo��-.���i�ꊡ(�*�5a]�ZJ=�R��^�弖Md���w��6�4T���_B�� J���Q�2�Nk�[ �qr��%�`мN��ҷ�X^ѤT�K��7�g�#r�aY�W|�"�+b|�@\�M!
d��H/��}Z;�s)��ð:>A�ڏ����1�DĊ{�݈�F �����xT��n�%��U��h����j��BTDF/�PS
IAT�>���S*�ܰ
� �~Pֺ{C�o�j�(l�@�Q�N��}��h����RP(!0� �F�w_d�O�^��}\�0��D
� `�w�iK�J��$;L�傈���eH�� [ԌSu�B��� ��ln<u*OF�M��O4=A~� �BV�&
P�U�RЉL���*�� .����8|�!�AW*ϴ���N�jA�</�5|S�_�>�K*2'k��zp����$V*f�>b��)�m$�ˆ��� ���'A�
�O©h�N��M��B�fT�i��! 4��f�z<��!��l��77o���ʀ�?�c�k�j�1߱��k���؊�S�k��]c]�Y�.�%������m��C�`�?�UX
�K+F"z��,�$fJX�Kq���F�&�ߊ8�3��� �FYrd4MA&�&U-��t�8�N�i���8H�
ӹ�R�p*���[�S��M�d�R���Ԣ-�a���.PO�b����ٟ0��ā��@��Y 5�I�n~�������~U�{ �V�����e�^�EJ��T2E�S�?Zaم�_:_5R��s��z���S�BvQ�1��>r�����Cs`�m�<�P��!p%��4���5�sP;��.����b��ܴ�f�N�y��3�䁺��QdRеH�)-L#�G�^�߅Ҿ���N�n,�Hw��4�DH�h�0�r8��H��D�����������|��q_^�!V�[<����M�jl�җf1�qdRVZ����Sۺ���Ґ9�t0��+3�l�M��AdD@C�=XJy��MɎY�Hrv�M�*mi�$�%쩄�-+��Rl��<��+�f�'J�w�Ш�0/���h'�|φ�T�6��ZP@B=�hF-f�4:���9vJBm�-��Vuk�(A�j�0�>N%+�`?�z(P���I�[#�l���Jh��^�=���pTQ$���}�u�G9�6:��)HM�EK��y���p��8�Y�-kڲʁ�Y)�ud:� g�y� �-l�z��<05y�mih�@DJ�QܝH�}8��q�%��=�G�p&!D{馥�`��y[��.R����v��<�"