Commit 5e2dddc6 authored by Jérome Perrin's avatar Jérome Perrin

use a dynamic style sheet to select landscape or portait

git-svn-id: https://svn.erp5.org/repos/public/erp5/trunk@18034 20353a03-c40f-0410-a6d1-a30d3c3de9de
parent c964b3c1
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<tuple>
<global name="File" module="OFS.Image"/>
<tuple/>
</tuple>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts96870593.58</string> </value>
</item>
<item>
<key> <string>__ac_local_roles__</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>Base_getODTLandscapeStyleSheet</string> </value>
</item>
<item>
<key> <string>_owner</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.oasis.opendocument.text</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAAAAGaAhTdexjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <long>10125</long> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<tuple>
<global name="File" module="OFS.Image"/>
<tuple/>
</tuple>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts93948485.32</string> </value>
</item>
<item>
<key> <string>__ac_local_roles__</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>Base_getODTPortraitStyleSheet</string> </value>
</item>
<item>
<key> <string>_owner</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.oasis.opendocument.text</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAAAAKyiYTdexjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz
aXMub3BlbmRvY3VtZW50LnRleHRQSwMEFAAAAAAArKJhNwAAAAAAAAAAAAAAABoAAABDb25maWd1
cmF0aW9uczIvc3RhdHVzYmFyL1BLAwQUAAgACACsomE3AAAAAAAAAAAAAAAAJwAAAENvbmZpZ3Vy
YXRpb25zMi9hY2NlbGVyYXRvci9jdXJyZW50LnhtbAMAUEsHCAAAAAACAAAAAAAAAFBLAwQUAAAA
AACsomE3AAAAAAAAAAAAAAAAGAAAAENvbmZpZ3VyYXRpb25zMi9mbG9hdGVyL1BLAwQUAAAAAACs
omE3AAAAAAAAAAAAAAAAGgAAAENvbmZpZ3VyYXRpb25zMi9wb3B1cG1lbnUvUEsDBBQAAAAAAKyi
YTcAAAAAAAAAAAAAAAAcAAAAQ29uZmlndXJhdGlvbnMyL3Byb2dyZXNzYmFyL1BLAwQUAAAAAACs
omE3AAAAAAAAAAAAAAAAGAAAAENvbmZpZ3VyYXRpb25zMi9tZW51YmFyL1BLAwQUAAAAAACsomE3
AAAAAAAAAAAAAAAAGAAAAENvbmZpZ3VyYXRpb25zMi90b29sYmFyL1BLAwQUAAAAAACsomE3AAAA
AAAAAAAAAAAAHwAAAENvbmZpZ3VyYXRpb25zMi9pbWFnZXMvQml0bWFwcy9QSwMEFAAIAAgArKJh
NwAAAAAAAAAAAAAAAAsAAABjb250ZW50LnhtbO1a3W7bNhS+31MIKjBsw2RJtuO/NS7aFMUGtEOx
ZMPuAlqibbaUqJFUZO9per9H2F2ebKQoyZIsKZLstinWGHFCnnN4Pn48Ooek/fTZzsPaHaQMEf9S
tweWrkHfIS7yN5f67zevjJn+bPnNU7JeIwcuXOKEHvS54RCfi7+asPbZQkkv9ZD6CwIYYgsfeJAt
uLMgAfRTq0VeexH7Uj2M73Fr81g5b83hjrc1lroFW7Bq7zlWzlu7FERtjaWuIDVvviZtjXcMG2si
WPcCwFEJxQ4j//2lvuU8WJhmFEWDaDQgdGPa8/ncjKUZYCfTC0KKYy3XMSGG0hkz7YFtproe5KAt
Pqmbh+SH3grS1tQADo5Wld1tWkfE3aaGGmcLaOvYiJWLyzty2y/vyM3beoBva9ZkZr4RwvjtzetD
LFCvrS+pW6DKoShoPU2lnbcnhGRQpYF6QGO4Q8sam6qd044a1SOKOKQ5dadR3QHYyRgnXhVpQs82
hYYB72SYZoEviWA1BkNTiTNl5tYO/eeb19fOFnrgoIweVjaQzzjwJTNJSivk0WWaNBXhzMw61iJ5
GmvgQMOFDmbLpyr4s25NteUiXuov4TvwR6hdA19MRUR6quYhvL/UvwUBYT/ldFSHrhWGlLrGBvqQ
IrEWlHjAL2gEiDsiWu8ARTLF6WZrSPaZMLEIMXYmTMNzYdozDr2HQJl1i5r0g5ALvjlyjHicbLXj
98IU1ghi14iLTOY0ga86U9O4ZQRUPE2UI8gS5Qi5MufYs8HoYugI4KpeAYw2IiQ9QDfIzzj2wN5Y
UQjeGyvIIwh9g5JIPEtrgJmaVw5mK8yD55WoRWbGoeeXwKvO4zkk/clU5gN7OnGyJaAQG0WF0XA6
mf7QD+6LzwN31hPuc7sGL8S4jFZ05bGuyWIFnPcbSkLflZCIKM1P4ES+dCkNgKs2fNbAmk/lDKQJ
oS6kBoZrHgssEVMaIxi52hMr/smrUbTZCj2f+DDfzUnQwnhFOJeZv1oxnVxuDsgDG3igsXLavWLi
JJIbaKybW79QGH6xoVDufDwrfxKn52PtQb0eNLYOMowYX5HdeWrQeJzwoCpPwoMhIA5nRclh6qOL
vnWL07BD2SpM9CMUrsnAHs+bKsHQnneqBEXA5y9dAvBw3Ax4NrN6A776CICtqd0MeDLrsjUohcS5
q+1qJF9fq20pLj4PzY9i7qdV8UdVp/tmhUfCwGetuW+PHoEAULChINimAtEh71zjhqGsXhEi71jS
YTOTEkfyutNICin03XTAdyHjaL03mOBPDBmJCXU++b09Wrw2uCkMCOUGRzy3l2iDnnFAeTv8SdxI
4+J48RGdob8FDnsc8MLJXnYbgCHg1wnlDSOGu0Tcmqeb4xQnkOktYVpNMCuFB5hWJ5jHz2IbmBFU
j9CKYLeARQlSqHXiDGyscATWrL1DSQQr4u6zhsSYu2OjnoRJvZz1mjhhdseRCIMA7w0XMhFlhkdc
mAuk+MMCBv8KoX+41jnu1OIuF7EAi80pCTlGPhQp6A5ikR10JVYs/4KxCF0qwBC/2kOHwW7SK6jT
RpHLfOogL9WHG/EK1rMWKJP6fJBvJQMF9bYiA0nc8WEhfk8ODhW3aUqQN86LC4Mk28hmE3FkMHtY
vShbibNLaRhR5x5ybR/umwEOocH3AZQJksoVqKdLjYHBCorimmsciDbLSDpje3EStuRDxRRd0mzE
Zzay2Yve4SOm9yRsX+n9Su//nN58T73Daw58F1A3K4tNOstfxU58od3/c/8hLsjazxDIcwm7/3D/
ryaUcqIrBTqWqJ2MJrbIGhKbIOSIorfXQgZduTFRVDLtO9GxDgW1su9wLP1+8HB5PCBkyX9Mc5j4
xYAxuYWjxNMgDS5ud1vu4Vu1JxR7H6LBnTinaVtI4Y+x4/SDTi2C2hbciUK7hVqyYwiAf+xb7CbF
Om1CmpZxqbZUc45HlAc04Uvu7eOvHnSZT0PRL11gHsdjUaFlCS/fFrYt/eVLu352V2W7rQgweXgl
EeuXMI6vuvo8lukoCo6+LLZPTRxfHsarT4+xOcGdPVB65u90FPk1HwMcJqjaZw6U3jVGJqtS0jpX
YHx63s5W+bbHOkl9ux1at3ZyCCydDW19+Vt8ktOuoSOPutqNPNFpr6VYsxPk21YuhtUuho0uhp1c
jKpdjBpdjDq5GFe7GDe6GHdycVHt4qLRxUUnF5NqF5NGF5NOLqbVLqaNLqadXMyqXcwaXcw6uZhX
u5g3uph3cmFbNc+e1fzwWSUvtfcqZuFWzSxcuJk1Xwde/gdQSwcIkZg997UGAABPLAAAUEsDBBQA
CAAIAKyiYTcAAAAAAAAAAAAAAAAKAAAAc3R5bGVzLnhtbO1cX5PiuBF/z6eguEreDNjADJCduYdL
bZKqu6qt7CSvV8IW4FvbcsnyAPvp0y1ZtvwPjGFmqGz2qnYPd0tq9a+7pVbL/vTzIQwGr5QnPoue
hvZoMhzQyGWeH22fhv9++Wwthj8//+kT22x8l6485qYhjYSViGNAkwE0jpKVIj4NUx6tGEn8ZBWR
kCYr4a5YTCPdaGVyr+RQ6onsrGtzyWy2FvQgujZG3lJbsu4+smQ2W3uc7Ls2Rl7Qqdl8w7o2PiSB
tWGWy8KYCL8ixSHwo29Pw50Q8Wo83u/3o/10xPh2bC+Xy7Gk5gK7OV+c8kByee6YBhQHS8b2yB5r
3pAK0lU+5DVFitJwTXln1RBBaqgmr9vOFvG6bVGNuyO8s21I5jK8U687vFPPbBsSsWvBZDH+DYjy
r99+LWyBh13HQt6Sqlzux52nqbjN9oyxXFRsoBxUiutMJrOx+m1w70+y77kvKDfY3ZPsLgncXOMs
bFIa8Nlj4LDoK5rpcJCFkFLYetYxasMgPm2ISy2PukHy/EnZVv54oH6jjp6Gf6N/kP+kg68kgm7B
kDRb6AfHp+FfSMySvxo86sFwUOoSea0tjSj3YaqchSQqccS+cMEYXgn3MYIMx51Fsm8kU7L3k+RG
Mjm3kumYCBqeE2rcBmr2XK1DWniPbkgaZKuT7jmTcctJvPPdoebNflsxB6vkwofVDGP0KtkRj+0t
6D+hwjo8DSejqQtyNhCPFaKAAGJBvKVWEhMXor21Y9z/DqKTAFmdxUnmVxTDrbOCC3fttcba0Gem
lgDmsffFzlLr54YEiWEGMeFEasjUjyIhv0VSwXAMsA3fo0yxkiDeET2AFGPNKYG1KREAudAUDBAo
W8g8aB5wS6xLZuBHHsW4hfsMczJaSC0jrMeANIsTtJN2sXN2lLs2mzShoIYIUZWDuyxgsHIJnkLE
2zAlUeJ/B0ltJxbyWUCibUq28GjD5QOXpZHgYA6f/1WaCbazICITjFGT0TzOdaC70NTvh4MmZZ1p
SsQiWu8U17uAHrRQlU5zakO3OU12XKiu5DtdHCrX9fCk0YB6dsd4RyNYnllkBcTzKLekNCgDIBz6
+Qw62lacRq5IVYd7IMOiAVMHEzlvfNpoLM8HF4xwEHvkzO3CM8rmGYM+C7foYUMGcg1LzrUWhl1q
S6kE6Tc2Qzlybkynx76VtZrGRHU4qFoYpyHxIwu3c9rMnBpTnCa7CssVriAzAzMuBdS0EpU4rBlH
y0ezgnAMNhKQOEGbvXZgi7N9ZXB4UvHBb5TGlmBbKna4M0cfOzewOaAy3a/gMR7h3rA1FGj4ApIk
IB64S+E89f5egP67M/l9zbyjbgp+GQfkaBUcA5PcOiQ8yBNTq1lcU6pzMSskHAIKaAyCywSDQ/Fs
zYTAjSqsqLYDpEKNZ9T3D0o8I0hdM5UIA5HJ0KTK3vMdzZzp6TnnJiW3EJHcQpBgT47JuWDZHAnt
WiicFZGiZ6Rr7OHiiIW9XIowAmE3G3TGMbD7WEHFgC42Ai1R5u0sFXKhDCCvgpBkD9uQq0Bjz/9c
wLWn/nYH6K9Z4LVjIZsYRNVKk5vbFhi0tM4ZZPs+IDmnQXLuDySnK0izbCuhnmEL2E5BygAp0IXY
Vf1ITSaj6i57Y9vce05v7/969Ken0Z/eH/rTXuj3g/k6GG8G0uw0SLP7A2nWEaSFGUav8dBFJTze
1EGbO38X/5yfhn5+f9DP+0DfC+OrMLwZQg+nEXq4P4QeOiL0eDFCj9cg1NL4eoQeTyP0eH8IPf5g
CC1OI7S4P4QWPxhCy9MILe8PoeUPhpA9OZNtT+4PI3vyI4D0q5+IPro/odsAu+xwyFTKbpxLj3Gw
hH252C1HjiAkz6sXIUkE5RZWFrJWZ0/n1sT9tuUsjbyiuECiRAmg+1XFSX1ULq+6qIsYsoqW5Ofl
kiItUd/TmNRratUHesos8YWquc9GD48PRdlEHGOYiQvygObGZ5s7y9HUrLqo5hxNzcCpJo6hCD8E
BV5T+murjVxoJmilAd2I9ghE+cBkuMiesA7KG63ppM38r6F/EuRuaH1mTLyBU38oDMuRfQUK9gJQ
cN4XhResT6HL/ALep27zNLmNZBtUed4HtPPxth+sl8auCxVa2a006fOKAlQrbjda4VTlP/C3EVbs
Cc+j5R9pIvzN0cJSKUizZ9wzK791pH6iD/jfm6yK49uuQ9cf2paq+V32etft5n4hMYaOd/fHcnWy
KEG2VScvg7m1YtlyO6PpwPbUvvOSs9n2+xInTl8741feTnwMfG3Q2ZOHXtB1m/k/YeKHG07cl/3d
cPHvUjbvn9G8+CKgfaZ/Lgf+mq6F2XemHncHkQIs7ZKwn+1bzsf9rv66uDyeLq4qgrW07hlsq6p9
p6OLu4DuVPW6DbtL69S9CtGd0dv4NPCsgKxp8Hb7rcv3sfnuCKgx8dR7Pjomqytq5ct+pf3T+26I
evjvhRm8AslVKv44mExXghX6dn5UDUjX6AqP3dbsYO16H47daw7RdDcSnzMe7yDrw9UZf+59cIT8
V/ulZrslMTl3ZPe+zrXsnWyUL+HmN+Vvewe3ozHiu2MW6WOMZg9vcEbw5nHxxl4tFbm+Q0V+vKe8
lbrvaVvwrqZbjToR4yEJbqZjTmPGhdV77/zSkM+Y9bwPPd1qAup93MC5KOHc+NuU91L/1fGk126q
Yw2Bwz/VSXV4s1Am/CRyd4xb6pTd1MTrdnXINuH4/8faIQlWj+Tp1sQuE7hyoAaKPiqrPjeOyial
l57wLSoUKgiKhCU7vEBiTD0rlzmpv7mFPHIjzVKeW7Ai6XcQrZihJ7G4RuBYDy/grOzHi9cdVQ/l
ZNOgtnVTSnVG9ryS7UxGk4njhoOEBb43+Gki/3S3ib8ruGtFircyCxMw7wgyFGntx+B1JU51TUu1
6NsSTc/kDYrshSh1lqbfYCgUYeFr8kQYwRkDS9a0ikGIToapuvFa4GQ0XdjZ6z1to3eUy7lTuaZ3
KtfsTuWa36lcD3cq1+OdyrW4U7mWdypXcX3u/QQrk0xpIyZogmuX3GPKs4RBTrCyreKGMYG/mwS3
swqM+gbDKwlSKk915EPdMLGKixLyJXCzjVpo8S1x7E9/YQVn1F1C2Jq2Ceg3C6i7R40UEjQN01p0
Ul+ukK94LpfFbqJJO1knhRbUHSZJ8yOXy28GYUw0PtMheyu+zoEnadAnbHo0oW0T9aXX+5DZlZ4P
TAheanLLTLFjlWNy8mShiViUKybt2ZjMTANyBOcpCRuH9rCBpyKgpOx9Dz9g5NiwN9YZhCTsspzd
WY4eW+0nGwLMU1iw7QPYSOZIkJhz4ouGTGXxOG/OVOyRY8+a8iF7NJ3PG/MhaLKct33RofLBEeXt
VkgO+dxwm631lDMkVF+gynQDaYO9KAbR8c1aU9CE5FdVbbuBh2zwBKGJhXholsq1zEuDsGfOQSku
6OqiTi1naYZXT0od4Zff9s+ebaRLlerPkHtozYA5zOzG3LQ5L23LPVXwKcRtEiiTpJuQOAiMYCLY
T0b9AnxFwLIwdSUXIbAe8zJCdmxUjoTGWVK59lu5dWDiWXdmpZZsdYj12nEsVYPVjcD/c1zEkTFk
mxkXfO/BKfYtccV+y5bb3vkXO+84JlGdDovK8xe0iGwc5DrbIBtNHkrKlTtjowF1hTQwyMhTrg4O
bT2Dgv25NFh1gnpK45rZFpZfMfBx8zcjn/8LUEsHCP3FfLziCgAAc1IAAFBLAwQUAAgACACsomE3
AAAAAAAAAAAAAAAACAAAAG1ldGEueG1sjZRNjpwwEIX3OQWyZgvG9C8WMFIWoyRKNKOks448dkF7
AjYyJnSOlH1uMBeL+U13axYtseHVV69eWYbk/lSV3i8wjdQqRSQIkQeKayFVkaLvhwd/j+6zd4nO
c8mBCs3bCpT1K7DMc62qoWMpRa1RVLNGNlSxChpqOdU1qLmFntN0GDQqp1Kqnyk6WltTjLuuC7pV
oE2BSRzHeKjOqOALV7emHCjBMZTQT2gwCQie2T7hraF69jyS1noZ1ONj6GFcFIZrPL4jb1rm4viy
+ax60ywZrAtQYJjVJnt0bo9nbkF091mq9uRdFn7URr8At3i7Dyuyv3vfylL4MdmSBF85jhO4AWZd
Bl8wC5kLufP7Z30gG7pe0U049V1yieCj4nw+vf4xr38r8J7AGKkSfFbruf/GhPghOUSE9s9qABe3
kqmiZQVkufEfvg61RRqTgpDWXS6f/+YlNNluNSW70i9h0ZohdvbkFvqw2X2Jdt+u+hZk7GwbML6A
XCoQ3qD0FyBFH1WuPYLwLVh0G7a6DVsv2PIVNdZFbqzkI2zZcwk+162yKYrQKMrKnd0shpOon/vb
ca3WZyRZNMMKw+rj4htPlU4bsdBkN6n86Bq4dXtMpXg77IcvbjV+63+Q/QNQSwcIQyoYtdwBAABN
BAAAUEsDBBQACAAIAKyiYTcAAAAAAAAAAAAAAAAYAAAAVGh1bWJuYWlscy90aHVtYm5haWwucG5n
tVZ7VNJpGqZxK7fU7DLT2miWlllZjhWZpth4N0cgL6mwaWMXU0JNJZVb23hL0qixtEkCxVDTwEoB
MdE2Z6rJFEH9mRiSl0REZeUiAZnrOTs7u3X27Jz5Y/76vnPe53nf7z3P873fVwCHBpiv2LACBAKZ
BwX6hi6ubBBoCch02eJOa+86CAKZVgX5fh2eSZmWHEmt/MrST3iu754d7kViQ/XZ9r34psOM0GDJ
96DZdAEszuwvU+vtek0XCG3SC6CtF5RDoOP7vc3dcjakmoLHLBOfb+696lOzOR/uY1GRZ/3bAafV
k/0K7QdlRNmM3uZAeq7BNDTBsJql4e3LlI+K3FUpRCoZKohdbpRDQmVLumgHiePfdmXfhMFkCx5d
JohbSejlc/tev7+ZFW4dvT4gHm+WKx587Qj2SqWeZ4MlYoupuzt7GQ452pb4jTtzAA+G9M97IFU6
ouXu1+iC3Z7HHX77hDk+nUv1TZd1cTyWvVapTBbEDRoNhpEd/vnCayHHKiAQCtn+DeOZXiBIexUG
uWRv+6QUCpMp3Uy/cQtFktW0V6XglB8Plm9JbRz3XZ2aV2Z7adjXiKc4xlxa62cLXTdrSnH07lJt
IzXeNQqrILboyZXCqrmKkKKA8hBztw7u3Ys3ztEzXaDrBM8KRnIPHNEM+64mPy6wG3O6QA8sa17E
q3N9Qsos6yqDV/3Sh7zVz1vzZTzz7eEObnOafzNOpY2Svo8QA6I9bHQBcfQmGCbgGoCSB62enWIy
gMrUNYAXnCQBkyJXgEisx3TcUbMNW3rkjJhsoLQYO84ucUbXaT/HMlIydRXs23rc9eQTCZKjUSha
NITPgQ2hnUPqp8k6DOIM8ZsU4Fp1ePmBwXsEHvZRWE+zxiM5R9f58IoGeE8dD9Rkq2biDU3aDUJd
DTuW3T8zT8FeKWd6v+iTPA4j97LnTjcSrNzirovRBNz9kgGji/pxw8OwGYYsAWmDmN4vaJMicMhh
E++/RqpP+CPlU5VPP48fiOr5R0YxjmabcFnHyj6kXBScCekW7k9tLczgCe3TmCihu4pbpW2JZOux
hnp72s/3FpL42stWeeJeJidtKHxWM4DoaLwOhTOzsIYYeyN6FxJLSF5o0IHVmLfqLKkUwJ3kl7IF
m6WuCq2/SSvBSxs9fzdD42Kr8spB9JwFOFkA5i3OpRfmmfrQtQHmFpvU2EnbGOIhW86ohE1LE08a
sUPVR2lsGYF0vpoTs3cPuncuYDJbZlLgJG2weLkX/3VYerRiyzOcN+Z0WeHuQ+bt6/exoQZRlvoU
aoGDVNwfr+8sq9exUGtTWPJO8tEou23wDBuwW5wXUlcQNy0lTD/ow9fcbvGFnWkJuUMtjrpXbwz0
FPucc/DmuWK9Nv3L0RR4jfyz9mN2sqBhe61AIKAplcowWZvoAZpkDBcvQ5XRmrzAwWAvFrGBdd8A
8eMma+fd0nMRs0XwwWrRXB8nSztfEDUZaP7S0gLTSFD/aaq4ZNhIzGQVR+kRpBtcZuTYiufPPTIK
5pox5CNOnl3O4Q/z7JmGcc8gdE24oQXDhMrVcH1hFdnBlv9mI4S9sk1VyZLZuTAE8utlAx7mxjtb
1yUy2k5P0H918n/fSErFSMfEsVstijrJ4f6GIsb3DzCo3AlItNGH9oHQ3DH2LF/Gt0l2n3+XcOMc
0vXv2+djEG3a5fBmQnQzRYvVuyO5AgnvFve7ijIWd3ftdputwW24JCSA0L3IwD9h513p1acrJvki
fGWAjFpZoVvzEo+A9cS/DXbrw8TCJM0sMS64nroKgu37QQfmR9r6J2fnoUIU82/af9wxIcr+aNRZ
bQgZGhx1wfWqblSWyy/ESLu5aewVm472PYhInYM63/iJHwGte3eCWcmhRXVcJ8XVnURLiun7YQot
jntQkgdot1Gnn2KrItYxZYk9LW2lMZXxjzzq1/6wHkWnm7ppiIc+na1WtY7+pR0rrdkYX/+rAfnH
/Q5LCr+4QF1stbT2klDFY19J/yB+rkkfAF79LK6ZFbmbzuw1L3LQdbXF8XiNq66FegJgjZ//0SBe
RO2V9zPzo7MlE3zjG0KhFu6Qb/2rhX6pudsm86D7obmpJRyz2r6v0nu04l2ZKJMkVAfCw+S8up+7
bJJTNTyQt3wI+Ayo3YINnhSid/KpOvc1HtLGi1zqJD0eflapwAFfWlEuy26l0gM33V/zUY3qVTKV
xajKTEoyG1RZmFw2c2nfSxHD0Lv6EUCz4gzz3YjVCv+KU6t8TqlKHuWfO4If6OlOYU2kw4TtyHD5
9kk4fsDkp/XPK3QmH/lI1kiiVyP6a+0QfrfOaK/ixqZPvYjsYlM7dhZsZQ7HMrJQfT5Til5SnPK9
p2P+6Ikm+hmJZ+NcE7tLlEbNQvQknJ/69p3vtfLj4I8k4OxsTYmrI4+sHIPjL1qTnK/6zC5NnZj/
238UOhuJnz17kIp+NLLyIsA9NpsbyoP8L9winzJNcu5ehCw1OLYesvi0iYZFrl3hv7kcp9buqW7/
T7P8/kf4Dws8ZcbU9xvf6YltsYAaSPvCu2gr/sltUp4+G34iiH8RYpn4eod58t3torVJ3kWnCq1v
h/2/9B+WWF2a3fGWrlQsflxAQX5QX5b38e/+CVBLBwg5xfsKrgcAAN8IAABQSwMEFAAIAAgArKJh
NwAAAAAAAAAAAAAAAAwAAABzZXR0aW5ncy54bWy1WV1z2joQfb+/IuN3QuCm4WMSOoaUXhoaGCDN
3L4JewHfyFqPJAf4913JkEnA9FKDnkhs6ay0Ont2V779vIr5xStIFaG48yqXV94FiADDSMzvvKdJ
t1T3Prf+usXZLAqgGWKQxiB0SYHWNERd0HShmtnrOy+VoolMRaopWAyqqYMmJiC205rvRzetsezJ
ikfi5c5baJ00y+Xlcnm5/PsS5bxcaTQaZft2OzRAMYvmx5rKRr83hYhvhsyEbDHWWPXq6rqc/e9d
bBb5wTWtrR+222/dbgxkP6VIQ2x8c7F5bJZ255HJ5msEyzeveXnzPs75QeN9CWyCibd9o9cJvYmE
9lqVaqVRvS3voxyP3IeZzoOufzoN9zkK9SIPuFqp1RunYf8D0XyRu+rK9U2tVgx8vMDlCEIiGXQW
TMxB7RiYInJgwmtpmUIxGz3RlrhU8B1DOIQ+Y1wdDV+KWVKKRAgrCPd9lc8wO4diQ66P83gv3Fmq
0pLo67UMmU9g30HmNapXxVEPRUrtU60wo1U05XD+QLGwLiLbAo8OxUi1Uq+dBt1GrTHOxb6p39SL
Yf9EjCeEtEu2BUoCLsgIA9plgUaZD1u5KgjcU2PgEGgIu5IeFAjmnIfvI/PQ602w5w+gzHJ8Lsoe
pJJpymx/kpT8MBwyySaMqDBOWGDE4OxSOSSN0SMwiRd2BaiYVn7EH6TaSH2fLPB/I+ChekzjKcjf
bOYEa30qXZ6SkOk86d9y8QRHfYkTvR4yN0lrLlBCN5JK0zagRwQUuidcuosSsKSoBdnBOJGgTO11
dm2wjhvTBjh8w+lBx52wjezEu5KEDeKE098OjNhtDFkC0hgag053E8o5rFDMW6EbzGakFC6cZfdh
kqwjGm9qu6FETbpNhHqA9a4VpuDmuh0JJtde+cglWxl0sF4TA9pPNWYscqSwHaR0g9zB+i08yFxC
/qGfMwUiRytfhG3OxIvqojRi1GE8SLnNYK4o6QuB2lo4LN0FFaiPLBwBC1HwPSqeJ2ZNnt6k6Ala
pnaAuzhtsvVlRcctGO/TjpyUBH6S8PWTAnnPNDs/fNdUAS4Dbsxe4Ud2kTAQHY7KRTowRr5ynDJ+
v7kDMbWHC8HuqQc6b19FTAxTEejUVRj6PJoLIu9YYzJEFf3OzAl6y6PEV2+Vhy8Cim0InyUNlV2+
tunPhR87qZR0TIbURhjN7xhTGexpTdZ2H6GX9/iIusMSnUq4l2w5mP6nBsLkVQfLt6oywuUDgIvC
Y5NGHvebrOP9YTG6bHUSCGVKFYUgJ7DSz5IlA0FuJTq62rPt312V9KrPpvCmEC5KXwWUomOwWfp/
msTTU9z7VtTXY02V0/md9ralLQMSN3uy0TsCKrPN1nytpal2qN3qopOjyhoIiSqhutgV/lfy1yIK
XFQenOPS2qAursNEANxBcvio0dSWxkyEOS2pvQUrWA7ag/+WKh3N1iZs1HOkF9+ZSBlvS2AvLsOU
tIxOf5td3RB7I+XmAsF8ojGlCVtjusu57fXyggSwRM0/8tSsqfAGBzx0eVex6b/n0GbBy1xiKg5e
V52bf6clRFMZ2Bs/N60f9WnBi5EsJzcrYkW8DeAnSKS+o3DLcfAStbz3ia986ONn6xdQSwcIAzOe
5MIEAAA+HQAAUEsDBBQACAAIAKyiYTcAAAAAAAAAAAAAAAAVAAAATUVUQS1JTkYvbWFuaWZlc3Qu
eG1stZVLasMwEED3PYXR3lbbVTFxAi30BOkBJvLYEeiHZhSS21cO5NM2lKZYOwmk90YjzWix2ltT
7TCS9q4TT82jqNAp32s3duJj/V6/iNXyYWHB6QGJ29OgyvscnaedSNG1HkhT68AitaxaH9D1XiWL
jtuv69vJtHyoLuBBG6zzwnioLjLsNdR8CNgJCMFoBZzjlDvXN0dXc61oGPcsLruHZEwdgLedkELe
JbtNefNu0GOKxyDoWRIDJ9pALIMHpdBgnvooVYpxOmLOYnFXEcFgPDAWggcfUshPIBXCRz9GpHI3
PYVeDM7em2JwbWFEkq+aLQQq6riT/b1fUHJT9TRJN+pa8LcY7pRPnUhOtXoTnv38v2L+nUt8MEiz
Yy0yzNZ41ttkNw60IcmnYRPcODd83sQic/4Qz6ldyB//4fITUEsHCDVi1zk+AQAASgcAAFBLAQIU
ABQAAAAAAKyiYTdexjIMJwAAACcAAAAIAAAAAAAAAAAAAAAAAAAAAABtaW1ldHlwZVBLAQIUABQA
AAAAAKyiYTcAAAAAAAAAAAAAAAAaAAAAAAAAAAAAAAAAAE0AAABDb25maWd1cmF0aW9uczIvc3Rh
dHVzYmFyL1BLAQIUABQACAAIAKyiYTcAAAAAAgAAAAAAAAAnAAAAAAAAAAAAAAAAAIUAAABDb25m
aWd1cmF0aW9uczIvYWNjZWxlcmF0b3IvY3VycmVudC54bWxQSwECFAAUAAAAAACsomE3AAAAAAAA
AAAAAAAAGAAAAAAAAAAAAAAAAADcAAAAQ29uZmlndXJhdGlvbnMyL2Zsb2F0ZXIvUEsBAhQAFAAA
AAAArKJhNwAAAAAAAAAAAAAAABoAAAAAAAAAAAAAAAAAEgEAAENvbmZpZ3VyYXRpb25zMi9wb3B1
cG1lbnUvUEsBAhQAFAAAAAAArKJhNwAAAAAAAAAAAAAAABwAAAAAAAAAAAAAAAAASgEAAENvbmZp
Z3VyYXRpb25zMi9wcm9ncmVzc2Jhci9QSwECFAAUAAAAAACsomE3AAAAAAAAAAAAAAAAGAAAAAAA
AAAAAAAAAACEAQAAQ29uZmlndXJhdGlvbnMyL21lbnViYXIvUEsBAhQAFAAAAAAArKJhNwAAAAAA
AAAAAAAAABgAAAAAAAAAAAAAAAAAugEAAENvbmZpZ3VyYXRpb25zMi90b29sYmFyL1BLAQIUABQA
AAAAAKyiYTcAAAAAAAAAAAAAAAAfAAAAAAAAAAAAAAAAAPABAABDb25maWd1cmF0aW9uczIvaW1h
Z2VzL0JpdG1hcHMvUEsBAhQAFAAIAAgArKJhN5GYPfe1BgAATywAAAsAAAAAAAAAAAAAAAAALQIA
AGNvbnRlbnQueG1sUEsBAhQAFAAIAAgArKJhN/3FfLziCgAAc1IAAAoAAAAAAAAAAAAAAAAAGwkA
AHN0eWxlcy54bWxQSwECFAAUAAgACACsomE3QyoYtdwBAABNBAAACAAAAAAAAAAAAAAAAAA1FAAA
bWV0YS54bWxQSwECFAAUAAgACACsomE3OcX7Cq4HAADfCAAAGAAAAAAAAAAAAAAAAABHFgAAVGh1
bWJuYWlscy90aHVtYm5haWwucG5nUEsBAhQAFAAIAAgArKJhNwMznuTCBAAAPh0AAAwAAAAAAAAA
AAAAAAAAOx4AAHNldHRpbmdzLnhtbFBLAQIUABQACAAIAKyiYTc1Ytc5PgEAAEoHAAAVAAAAAAAA
AAAAAAAAADcjAABNRVRBLUlORi9tYW5pZmVzdC54bWxQSwUGAAAAAA8ADwDuAwAAuCQAAAAA</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <long>10428</long> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
...@@ -3,15 +3,21 @@ ...@@ -3,15 +3,21 @@
<record id="1" aka="AAAAAAAAAAE="> <record id="1" aka="AAAAAAAAAAE=">
<pickle> <pickle>
<tuple> <tuple>
<global name="File" module="OFS.Image"/> <global name="PythonScript" module="Products.PythonScripts.PythonScript"/>
<tuple/> <tuple/>
</tuple> </tuple>
</pickle> </pickle>
<pickle> <pickle>
<dictionary> <dictionary>
<item> <item>
<key> <string>_EtagSupport__etag</string> </key> <key> <string>Python_magic</string> </key>
<value> <string>ts93948485.32</string> </value> <value>
<none/>
</value>
</item>
<item>
<key> <string>Script_magic</string> </key>
<value> <int>3</int> </value>
</item> </item>
<item> <item>
<key> <string>__ac_local_roles__</string> </key> <key> <string>__ac_local_roles__</string> </key>
...@@ -20,216 +26,118 @@ ...@@ -20,216 +26,118 @@
</value> </value>
</item> </item>
<item> <item>
<key> <string>__name__</string> </key> <key> <string>_bind_names</string> </key>
<value> <string>Base_getODTStyleSheet</string> </value> <value>
<object>
<klass>
<global name="NameAssignments" module="Shared.DC.Scripts.Bindings"/>
</klass>
<tuple/>
<state>
<dictionary>
<item>
<key> <string>_asgns</string> </key>
<value>
<dictionary>
<item>
<key> <string>name_container</string> </key>
<value> <string>container</string> </value>
</item>
<item>
<key> <string>name_context</string> </key>
<value> <string>context</string> </value>
</item>
<item>
<key> <string>name_m_self</string> </key>
<value> <string>script</string> </value>
</item>
<item>
<key> <string>name_subpath</string> </key>
<value> <string>traverse_subpath</string> </value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</state>
</object>
</value>
</item>
<item>
<key> <string>_body</string> </key>
<value> <string>request = container.REQUEST\n
if request.get(\'landscape\'):\n
return context.Base_getODTLandscapeStyleSheet\n
return context.Base_getODTPortraitStyleSheet\n
</string> </value>
</item>
<item>
<key> <string>_code</string> </key>
<value>
<none/>
</value>
</item> </item>
<item> <item>
<key> <string>_owner</string> </key> <key> <string>_filepath</string> </key>
<value> <value>
<none/> <none/>
</value> </value>
</item> </item>
<item> <item>
<key> <string>content_type</string> </key> <key> <string>_params</string> </key>
<value> <string>application/vnd.oasis.opendocument.text</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAAAAKyiYTdexjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value> <value> <string></string> </value>
</item> </item>
<item> <item>
<key> <string>size</string> </key> <key> <string>errors</string> </key>
<value> <long>10428</long> </value> <value>
<tuple/>
</value>
</item> </item>
<item> <item>
<key> <string>title</string> </key> <key> <string>func_code</string> </key>
<value> <string></string> </value> <value>
<object>
<klass>
<global name="FuncCode" module="Shared.DC.Scripts.Signature"/>
</klass>
<tuple/>
<state>
<dictionary>
<item>
<key> <string>co_argcount</string> </key>
<value> <int>0</int> </value>
</item>
<item>
<key> <string>co_varnames</string> </key>
<value>
<tuple>
<string>_getattr_</string>
<string>container</string>
<string>request</string>
<string>context</string>
</tuple>
</value>
</item>
</dictionary>
</state>
</object>
</value>
</item>
<item>
<key> <string>func_defaults</string> </key>
<value>
<none/>
</value>
</item>
<item>
<key> <string>id</string> </key>
<value> <string>Base_getODTStyleSheet</string> </value>
</item>
<item>
<key> <string>warnings</string> </key>
<value>
<tuple/>
</value>
</item> </item>
</dictionary> </dictionary>
</pickle> </pickle>
......
22 23
\ No newline at end of file \ No newline at end of file
Markdown is supported
0%
or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment