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*2c45ca5- Update pl_PL, thanks to Sauron (2018-01-27 08:37:15 +0100) *3b0f56e- Update pl_PL, thanks to Sauron (2018-01-27 08:37:07 +0100) *60b4478- Update pl_PL, thanks to Sauron (2018-01-27 08:36:58 +0100) *1c02e03- Update mn_MN, thanks to Ulzii (2018-01-15 06:38:42 +0100) *633cd56- Update mn_MN, thanks to Ulzii (2018-01-15 06:38:33 +0100) *4e65e00- Update zh_CN, thanks to dennisyan (2017-12-17 11:19:57 +0100) *fc4531a- Update th_TH, thanks to pradit (2017-12-11 18:11:54 +0100) *31f8a12- Update th_TH, thanks to pradit (2017-12-11 18:11:45 +0100) *6e36be5- Update de_DE, thanks to e-dschungel (2017-11-18 07:51:19 +0100) *457a93d- Update fr_FR, thanks to rio (2017-11-04 17:55:21 +0100) *4e5ee3f- Update it_IT, thanks to rio (2017-11-04 17:55:12 +0100) *c15ff12- Update lt_LT, thanks to vilisas (2017-10-15 07:06:26 +0200) *341e1b0- Update lt_LT, thanks to vilisas (2017-10-15 07:06:09 +0200) *5c758f6- Update lt_LT, thanks to vilisas (2017-10-15 07:05:38 +0200) *10a685c- Update lt_LT, thanks to vilisas (2017-10-15 07:05:29 +0200) *739a920- Update lt_LT, thanks to vilisas (2017-10-15 07:05:21 +0200) *9cab061- Update vi_VN, thanks to dummy (2017-10-12 06:12:51 +0200) *90934a4- Update pt_BR, thanks to flaviove (2017-10-12 06:12:42 +0200) *b1cd6cd- Update lt_LT, thanks to vilisas (2017-10-09 20:59:27 +0200) *d4a0f4e- Update fr_FR, thanks to cryopad (2017-10-09 20:59:04 +0200) *cd3a137- Update nb_NO, thanks to paulen (2017-10-09 20:58:56 +0200) *b44fda2- Update uk_UA, thanks to StreamThreader (2017-10-09 20:58:47 +0200) *4991c96- Update en_UK, thanks to ddtddt (2017-10-09 20:58:39 +0200) *92f515a- Update lv_LV, thanks to agrisans (2017-10-09 20:58:31 +0200) *e211140- Update ru_RU, thanks to Konve (2017-10-09 20:58:22 +0200) *577a25e- Update sv_SE, thanks to Elger (2017-10-09 20:58:13 +0200) *356c3eb- Update da_DK, thanks to Kaare (2017-10-09 20:58:04 +0200) *2c2c443- Update ro_RO, thanks to enels (2017-10-05 20:40:06 +0200)
142 lines
3.1 KiB
HTML
Executable File
142 lines
3.1 KiB
HTML
Executable File
<h2>Search</h2>
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<p>Pēc noklusējuma visiem meklējamiem terminiem ir jāsakrīt. Meklēšana ir reģistrjutīga.</p>
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<table class="qsearch_help_table">
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<tr>
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<td>quoted phrase<br>
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<q>"search"</q>
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</td>
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<td>Lietojiet pēdiņas, lai meklētu precīzu vārdu vai frāzi.<br>
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<q>"george washington"</q></td>
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</tr>
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<tr>
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<td>either term<br>
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<q>OR search</q><br>
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</td>
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<td>Pievienojiet OR starp vārdiem.<br>
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<q>john OR bill</q></td>
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</tr>
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<tr>
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<td>exclude<br>
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<q>NOT search</q><br>
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<q>-search</q>
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</td>
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<td>Pievienojiet domuzīmi (-) vai NOT pirms vārda, lai izslēgtu no meklēšanas. Ņemiet vērā, ka NOT darbojas kā filtrēšanas operators, tā ka meklēšanu tikai ar NOT operatoriem vien nevar veikt. Nevar kombinēt OR ar NOT (<q>john OR NOT bill</q> nav derīgs)<br>
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<q>george washington NOT bush</q></td>
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</tr>
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<tr>
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<td>grouping<br>
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<q>()</q><br>
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</td>
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<td><br>
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<q>(mother OR father) AND (daugther OR son)</q></td>
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</tr>
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</table>
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<br>
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<table class="qsearch_help_table">
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<tr>
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<td><q>tag:</q><br>
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<q>tags:</q>
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</td>
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<td>Meklē tikai tagu nosaukumos, neskatot foto nosaukumus vai aprakstus.<br>
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<q>tag:john</q>, <q>tag:(john OR bill)</q></td>
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</tr>
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<tr>
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<td><q>photo:</q><br>
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<q>photos:</q>
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</td>
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<td>Meklē foto tikai pēc dotajiem vārdiem foto nosaukumos vai aprakstos.<br>
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<q>photo:John</q></td>
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</tr>
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<tr>
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<td><q>file:</q>
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</td>
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<td>Meklē pēc faila nosaukuma.<br>
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<q>file:DSC_</q></td>
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</tr>
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<tr>
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<td><q>author:</q>
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</td>
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<td>Meklē pēc autora.<br>
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<q>author:John</q></td>
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</tr>
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<tr>
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<td><q>created:</q><br>
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<q>taken:</q>
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<q>shot:</q>
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</td>
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<td>Meklē foto pēc uzņemšanas datuma.<br>
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<q>taken:2003</q> foto uzņemti 2003<br>
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<q>taken:20035</q>,<q>taken:2003-5</q>,<q>taken:2003-05</q> foto sākot ar 2003.gada maiju <br>
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<q>taken:2003..2008</q> foto no 2003 līdz 2008<br>
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<q>taken:>2008</q>,<q>taken:2008*</q>,<q>taken:2008..</q> foto pēc 2008.gada 1.janvāra<br>
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</td>
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</tr>
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<tr>
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<td><q>posted:</q>
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</td>
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<td>Meklē foto pēc tā publicēšanas datuma.</td>
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</tr>
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<tr>
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<td><q>width:</q><br>
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<q>height:</q>
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</td>
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<td>Meklē foto pēc uzdotā platuma vai augstuma.</td>
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</tr>
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<tr>
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<td><q>size:</q>
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</td>
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<td>Meklē foto pēc izmēra pikseļos<br>
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<q>size:5m</q> atrod 5 megapikseļu foto<br>
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<q>size:>12m</q> atrod 12 vai vairāk megapikseļu foto<br></td>
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</tr>
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<tr>
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<td><q>ratio:</q>
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</td>
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<td>Meklē foto pēc platuma/augstuma attiecības.<br>
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<q>ratio:3/4 OR ratio:4/3</q> atrod portrait vai landscap kompaktkameru uzņemtos foto
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<q>ratio:>16/9</q> atrod panorāmuzņēmumus
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</td>
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</tr>
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<tr>
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<td><q>hits:</q>
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</td>
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<td></td>
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</tr>
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<tr>
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<td><q>score:</q><br>
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<q>rating:</q>
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</td>
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<td>Hint: <q>score:*</q> sniegs jums visas fotogrāfijas ar vismaz vienu vērtējuma punktu. <q>score:</q> sniegs jums fotogrāfijas bez vērtējuma.</td>
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</tr>
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<tr>
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<td><q>filesize:</q>
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</td>
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<td>Meklē foto pēc faila izmēra<br>
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<q>filesize:1m..10m</q> finds files between 1MB and 10MB.</td>
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</tr>
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<tr>
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<td><q>id:</q>
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</td>
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<td>Meklē foto pēc tā Piwigo skaitliskā identifikatora<br>
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<q>id:123..126</q> atrod foto no 123 līdz 126 ( var tikt atrasta no 0 līdz 4 foto, jo foto var būt dzēstas).</td>
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</tr>
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</table>
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